Good evening. I'd like to start this final session of the day by thanking you in the audience for staying and congratulating you because you're in for, I think, one of the most relevant sessions that you will hear during the three days of the conference. If you could take your seats and stop talking, we could get the show on the road and we can all get to dinner. But as I say, I'm quite excited by this panel because it's going to discuss for you this evening practical applications of much of what you've been hearing about both here and elsewhere of artificial intelligence and digital connectivity. And we have, I'm excited about this because we have a panel of practitioners, of people who are really involved in the industry of the internet of cars, the internet of airborne vehicles, and the internet of space and space communications. What we have here is a panel that will be discussing the way you live and things that you do in everyday life. And I guarantee you when they have finished, you will understand a lot better what the future holds for you and the fact that the future is actually now. We're going to talk, first of all, about automobiles and other methods of surface transportation. And to do that, we're privileged to have Monsieur Francois Maule, who is the head of something called Digital World, which has put out a series of publications that Francois shared with me that help you understand what a transformation the digital era has brought to our daily lives. Francois, tell us about the internet of cars. Thank you very much. It's a bit hard for all of you. I know this is the last presentation. You've seen lots of numbers, concepts about technology. I would like to start by what does it mean for us? Because at the end of the day, we are here to create together a better world and make sure the governance fits with that.  They had it the very day of their birthday. In 2015, I bought a Tesla. And I bought a Tesla, which is a high-end luxury car, on the net with my credit card without any interaction with a sales guy. I couldn't negotiate, by the way, because the machine didn't want me to negotiate. This was, for me, a great experience. In 2016, I organized a congress like that on Connected Car, and I went to see one of my dear friends, who is a CEO of a very large car manufacturer, and we started to talk about Connected Car. And I really wanted to talk about Connected Car. At the end of the day, what we did, we talked about smart mobility. Why? Because he told me, you know, Francois, five years from now, not sure we're going to produce cars, or we're going to transport people. 2017, 2016, my daughter turned 18. So I say, what about your driver license? They say, I don't really care. 2017, she turned 19. I say, what about your driving license? They say, but dad, I have Hubert. Well, she has my account of Hubert. Let's put it that way. And you know what I mean? She uses it a lot. Or I have blah, blah, car. And you know, I don't care about cars. And 2017, I'm selling all my petrol cars and keep only electric cars and smart cars. So 2007, remember, 2008, remember, nine years ago was the appearance of iPhone. So in nine years, so many things happened. I see five things who have transformed my life. The first one is usage. The main things that Internet has brought to people is the community of knowledge. Knowledge has been in books, in university. The boss, when you were the boss, you didn't share your knowledge. But now with Internet, knowledge is a commodity shared by everybody.   And the young people and Internet has put us in the sharing economy. You share pictures on Facebook, you share your experience, and everybody shares. So owning something is good, but sharing something is much better, especially with a young generation. Second is the development of technology. This is the explosion of the fiber, the 3G and 4G, the power of iPhones with the power of the cloud. You have access to everything anywhere. The geolocalization allows to buy something where you are or order a car. And the technology has dramatically changed the picture of where we are right now. Third is sense and symbol. When I talk to our kids or young people, the students, when I teach, sense makes a lot to them. They don't want to be or work in an environment that do not care about the planet. They do not. I remember all my life when my three kids went out for my Range Rover, I was very proud to have a trophy car and say, Dad, too much oil, we don't want to travel into this car. The other point, also, is car is not anymore something to celebrate the success in life. It's the commodity. I remember when I got my driving license, my first car, it was something very, very important to me. For emergence of new trends, we always, we spend a lot of time, of course, in the traffic jam, but also there is emergence of smart cities and smart cars and whatever you call that. I was in Riyadh last week, and there was this big announcement about Neon, the 500 billion US dollars investment into the next generation city. It's around smart cities. It's around eco-carbon. And now everybody talks about smart cities and it's the plan at the state level. And last, it's ubiquity in terms of the choice of what you want to do. As an example, if you want to go from A to B on Google Maps, you can walk, take a train, take a bike, or whatever. When you order a Uber, you can take a small one, a big one. If you go to London, you have six different categories. So in nine years, there has been a huge revolution driven by technology, driven by sense, driven also by the abundance of some symbols. Just a quick slide. I don't like slide, but this is quite interesting to see. If you can launch that, not the previous one. I just want to give you a short update on where we are on connected cars. There are three types of connected cars. The most advanced by far is Tesla. Tesla has not only a 3G card in it, it has intelligence. It can drive by itself. Last week, I drove between Brussels and Paris, 240 kilometers without touching the steering wheel. And I came in Paris as relaxed as my wife, and I could do SMS. I know it's forbidden, but really, I was cool. The second type of connected car is car with some technology inside. But your iPhone or smartphone is kind of modern. And the last is your smartphone, because the smartphone embarks so many technology with you. What would look like the next generation autonomous car? It will be like a saloon. You will be comfortably sitting in it. You have seven types of autonomous car. And again, here, Tesla is the brand which is the most advanced. By 2021, we'll start to have lots of cars autonomous. And it's a me-too strategy, driven by most of the car manufacturers. I like these slides because it looks like what the future will be. There will be different types of connected cars. There will be connected cars where they're connected together. Or connected cars, smart cars connected with the environment. Each of us has been to some emerging countries where in the center of the city, you have 3,000 different objects. So you have donkeys, you have bicycles, you have cars, you have trucks. And there is zero accident. Why? Because they're all connected to each other. The donkey is connected to the bicycle, connected to the truck, the motorbikes. If you take 3,000 connected car, it's the same. They will have a software between themselves with a Yankee with rules. There will be never an accident. If you have 2,999 cars, one donkey, there will be an accident. So you need to connect things with some algorithm, some logic, so that they can live together. You will see in the near future a big acceleration. You all know what is the Moore's law. The chairman of SoftBank last week announced the million. The speed of connectivity will be increased by one million. The speed of treatment of information by one million. And the capacity in the cloud to treat information will be also increased by one million. That means that all the cars will have a huge software hardware infrastructure, will have real-time access to the cloud. And in the cloud, there will be trillion lines of codes that will make us safe when you travel, identify the danger, identify the quality of the road, or any obstacles. So we're not there yet, but it will be very soon. Thank you. Thank you, particularly for guiding us toward an understanding that cars in the future are likely to be not a product that we buy, but a service that we employ. That's a major shift for our societies. And your confession of wrongdoing sets up very nicely the second part of our topic, which is governance, which is how do governments react to the astonishing technological changes that we're dealing with here. In the United States, for example, there are laws that regulate that you have to have a seatbelt and you have to have an air safety bag, but there's no law about whether you have to have a driver or not. Clearly, laws are going to be updated, and this is a major topic. Our next speaker has a lot of experience in dealing with governments and safety regulations and the culture of safety. It is Patrick Castelbejak, sorry, who is the head of strategy at Airbus. Patrick? And so I will first say my kids are a little younger, so I think they dream of flying cars. So I'm afraid we're going to speak a little bit about this because not so long ago, this was something, even I thought three, four years back, I thought this was something maybe my children would see. But actually, this is happening, and this is what I'd like to talk about is urban air mobility. We discussed that this morning, and you said we need to understand a little bit where we're coming from, but what we're talking about basically is about vehicles flying people vertically in cities, from, for example, downtown to an airport or point to point. And you ask me where this is coming from, and I think it comes from different things. First, it comes from the needs, and the need is a simple one is we all know that we're going to, I mean, urbanization is a very large phenomenon. I mean, we are more than half of the population now living in urban areas. Over the last 10 years, every single day, roughly 200,000 people moved from rural areas to urban ones, 200,000 people per day, in average, imagine. So yes, the cities are growing bigger, but also what is growing bigger is the traffic, is the congestion of this traffic, is the traffic jam. And so we try to measure up what is the impact on economy, and last year in the US, people started to figure out how they can try to account for all the direct costs, the time loss, the fuel, but also all the indirect costs. And they came up with a bill of 300 billion per year in the US only last year. So it's absolutely humongous. So when you talk about that type of money, people start to think about solution. But it's not only the US. We know that we have, for example, mega cities in China. We've got mega cities everywhere.  And this has a cost in terms of time. This has a cost also in terms of environment. I mean, we know that the cities are responsible for roughly 70% of the global greenhouse gas emission. And so we need to take that number down. Obviously, the electric car that Franco was referring to, our solution. And we tend to believe that there is another solution. Because if you look at cities today, it's clear that there's very, very limited solution, I would say, on the surface. There's very limited solution below the surface. I mean, the subterranean around cities is also crowded. So we think what we need to do is really go for the third dimension. And because in the third dimension, by definition, is open. And we have all the space we need to do to travel people there. So once we say this, how close are we to urban air mobility and to this dream of flying around? Well, from a technological standpoint, we're not very far. We identify the blocks. And these blocks were not necessarily together. But now we know that more and more, they're getting together. And the challenge for us is how can we make a totally safe environment for those technologies to interact and develop that capabilities? One of the blocks will be the batteries and the electricity, having the autonomy, having the power. But this is not so far away. Thanks to the automotive industry at large, this is progressing very fast. And we're very confident we're going to get there. There are some new technologies, like the sense and the void. We suit that with drones today. We see more and more drones around us. And we see that they use this type of technology, which are actually usable and unskillable. And then we have automation. I mean, I cannot say I drove for 240 kilometers without touching my steering wheel. But actually, aircraft have been landed on full automatic since the 70s. You all flew aircraft. And these aircraft are landing very often in full automatic. When you have sidewind of this type of thing, the pilot science structure to actually land on full automatic. So in the aviation business, automation is part of who we are for the past 40 years. And actually, it increases safety. And so it's something we really believe also could benefit at a very large scale. So you asked me, too, also on saying, OK, so the technologies were not very far, but that may be many players. Well, actually, yes, there are many players. There are dozens of small startups, smaller big. And maybe you heard about Volocopter, about Ilium, about Ehang in China. What is interesting is these people raised last year only $400 million. Uber started to get into the game. Boeing just purchased a company named Aurora. Augusta, Bell, the helicopters, manufacturers, everybody getting into this game. Because we all start to believe it's not a dream. It's not something that our kids could dream of or feature of a science fiction movie. It's something that will fly probably in the next five years. And it will start to scale up. It will take time. A little bit like the car industry or aviation. It will take time. But again, in 10 years, 15 years, it'll be, hopefully, reasonably common. So what are the challenges to get there? Again, we mentioned vehicles and the technology. But honestly, vehicles may not be actually the biggest difficulty. The difficulty is, is integrating all the technologies, not only on the vehicle, but on the ground, in the space, work with the authorities regulating traffic, try to make sure that all of this is safe. Because, again, safety is paramount for in the aviation business. Many of you flew here. When you flew in, you didn't ask yourself, when you landed, you didn't ask yourself, I'm there safe. You thought, was the, I know, in flight entertainment nice, was the service good, was the aircraft on time? Nobody asked anymore the question, is it safe to fly? And nobody asked this question, because the whole industry has been working 50 years to make it happen. And so it's paramount that, yes, we have many startups, but we, I mean, private companies and the authorities and the regulators and the governments, we need to make sure that this safety priority goes also into urban air mobility, despite the rush to get there, because, technologically, it is feasible. So that is a big thing. Another issue will be, of course, the business model. How does that work? Are the cities paying for part of it? Is it only the users? Who's gonna pay? How is it gonna be paid? Is obviously a question. Another one, of course, is public acceptance. Are we today willing to go in an object with nobody at a steering wheel, which will take you 300 meters into the air and fly you to the other end of the city? So we did a study in three continents and tried to get the opinion of people. And, of course, it varies from one country to another, but mostly people really value time versus money. They need safety and they need certainty. I mean, again, if you can say wherever you are in Delhi, in, again, in Sao Paulo or in Beijing, I can go to point A from point B and I'm sure that it will take seven minutes. Instead of, I don't know if it will take 20 or two hours, 20 minutes or two hours. That has a great value in and by itself. So we believe in public acceptance thanks to the move in the automotive now is getting about not being piloted, apparently is getting more and more buy-in, in particular with the younger generation. So again, the idea is to work together with the authorities, with the cities and the governments to make it work. So this will bring what type of benefit? Because obviously what we believe is one of the limit to the extension of the cities are, that the center of the city is becoming very expensive and the time to commute is becoming a barrier to the development of the cities and the development of the economies. We believe this could be one of the solution. Again, it's certainly not the only one, but certainly could be part of the solution. Again, we believe it will start at reasonably low number for really people traveling for business or very wealthy individuals, but very fast which would be in a position to move on to make it more affordable as we scale up and it's really something we believe in. Then again, what we believe in terms of investment, it will be reasonably limited. I mean, compared to building roads, building trains, here we're talking about only building launch pads in cities, so it's very limited in terms of real estate, very limited in terms of investments, was actually, yes, it could contribute to the economy of the cities. Also, we're talking about the internet and about, again, parcel deliveries and we believe, yes, also parcel deliveries by drones is something that's gonna happen and develop reasonably fast. So again, we believe this revolution is coming. We believe it's not a dream anymore. We believe it's something we work on and actually we do at Airbus have two projects. One will fly next year and one will fly in a couple of weeks. And so I couldn't resist to make some free advertising, sorry, Ciri, and show you a little video with the prototype that is gonna fly in the Silicon Valley in a couple of weeks. So if you can see the video, please. I think that I said that the future is now. You've just backed me up very nicely and I appreciate that. In the United States recently, I think many of us were a little shocked to learn how far or how much of our daily life depends now on space, on communications coming from space, on photography. After we had a series of devastating hurricanes, we learned that satellite photography had enabled the cities of Houston and other cities that were affected to download photographs of the damage and save all the time and expense of having insurance adjusters go out to site that damage. And it brought home the extent to which space is important to us today and in ways we don't understand as well as we should. And to solve that problem, we have Jean-Yves Legal, president of the Centre Nationale des Etudes Spaciels, to walk us through it. Thank you. Good afternoon. If you could put the presentation, please. Yes, a few words, perhaps, to start about what you said for what happened in the US and in the French West Indies. At CNES, which is the French Space Agency, we organized a short to be sure that when we have hurricanes or earthquakes, all the satellites which are going to overfly these regions in the hours after this big event, all the satellites are going to take pictures of the ground. And this is why after the big floods in Texas, we got radar images of the satellites allowing to see where there were big food and where there was a lot of water. And in the French West Indies, we got the first images from what happened in Saint-Barthélemy and Saint-Martin to organize all the organization of the rescue. And as you said, satellites are very, very useful. But today I'm going to speak about another use of satellite, which is the use of the satellite to allow autonomous vehicles. And in particular, I would like to speak about Europe's Galileo geolocation, which will enable such autonomous vehicles in the future. So Galileo is today a constellation of 18 satellites. So it means that we have been launching during the last years, 18 satellites. And it is already delivering promising levels of performance and it affords a much better precision than on the other satellite navigation system currently available. To be very blunt, if you take the GPS, you know that you are in the four seasons, here in Marrakesh, if you take Galileo, you know if you are here on the stage or in the room. It's very, very important and it makes, no, no, but the truth and it makes the difference. And we are going to continue to launch satellites. The next one is planned in French Vienna with an iron five on the 12th of December. And so we will have the full constellation by 2020. And there are four points on which I would like to insist to explain why Galileo is such a great asset for autonomous vehicles. The first one is a service offering 10 meter accuracy around the globe. And as I said, Galileo is even more accurate than the GPS. The second point is a notification service that allows users to ensure they are receiving the right signals and not being spoofed. It's very, very important in particular when you have to deal with insurance or to make, for instance, micro trading to know exactly when some event occurs with an accuracy, which is something as one over 10 minus nine seconds. The third point is enhance the signals to ensure better positioning resilience in urban environments because I spoke about, of course, positioning here, but if you have strike three parts and so on, it may be difficult. And so Galileo is very, very useful for that. And last but not least, it's the close interoperability with GPS designed into the system from the outside. And now I would like to say in a few words some of the key issues facing autonomous vehicles where Galileo is going to be instrumental. The first point, the first issue is institutional and regulatory. Any discussion about driverless vehicles is bound to touch on road safety. Today, safety, of course, is mostly in the hands of drivers. When you drive a car, you are in charge of the safety of the car. But tomorrow, we are going to see a new paradigm where safety will be assured by autonomous systems. And for one of the main challenges I had may seem something of a paradox as governments must both guarantee road safety and boost innovation. Cooperation between the public and private sectors, therefore, appears vital to progressively build a regulatory framework that favors innovation while retaining tight control over safety. Driverless vehicles are also an international issue. It seems obvious, but we have today international accords like the Vienna and Geneva Conventions of road traffic. And they seek to improve road safety by harmonizing regulation in signatory nations. And work, of course, is underway to include autonomous vehicles in these international treaties because once we have autonomous vehicles, it will be too late to change the regulation. And so it is so important to start right now. The second issue is of technological and industrial order. Full autonomous vehicles are not going to start operating overnight. Industry plans to roll out solutions ranging from limited autonomy to full autonomy over more than 10 years. Today, five levels of autonomy have been standardized, level five being that of a fully autonomous vehicle. Driverless vehicles will need to be geolocated very precisely. And nowadays, we are hearing that vehicles on board positioning systems must be accurate to within half the width of a time, which is, let us say, 10 to 20 centimeters. It's very, very accurate as a matter of fact because you must have the same accuracy everywhere on the surface of the earth. Positional accuracy is important, but so is positional integrity, which is the confidence we have in it. If the system gives a position, but if you don't trust it, of course, it is completely meaningless. And even before technical solutions are matured, we need to address the issue of how driverless vehicles will be certified. This is another very important point. And it seems increasingly likely that we will adopt a building block approach focusing on subsystem level. It is clear that all for Galileo is a reality. We still have much work to perform to get its services into the architecture of vehicles, even if it has been said on some vehicles as Tesla, it is already very well mature. The last point is how industry organizes itself in this respect because we need to have a very strong organization on the industrial side. Driverless vehicles are fueling fierce competition to develop new technologies in the automobile sector, especially with the arrival of the GAFA and the data driven culture that will be key to their development. In this context, most automobile manufacturers have decided to engage in this competition by nurturing their own ecosystem rather than going it alone. So in a nutshell, you clearly understood that autonomous vehicles are coming, but it will be difficult. But I am sure that it will bring a lot of benefit. And to conclude, I would like to say that there is a strong need to conduct trials to allow industry to craft innovations for autonomous vehicles and to give governments enough data to inform policy decision and legislation. From this point of view, cooperation between the public and private sector will be a guarantee of success in this regard. I'm certain that addressing this point, as we are doing today very quickly, will be very, very helpful. But on this point, as on many other points with innovation, things are going very, very quickly. And today it seems very strange to have a car driving alone. But I am sure that within a few years, we will be able to drive, for instance, from Casablanca to Marrakech without driver. It will take just a few years. In the US, we start to have some experimentation with some social issues. In the US, we have 5 million of drug drivers. They clearly understood that with such vehicles, they will lose their jobs. But such vehicles will bring a lot of benefits. And this is exactly what is at stake. Thank you. Johnny, thank you very much. I have a couple of quick questions for each of you. But I wanted to see if any of you had questions for your fellow panel members. If not, I'll pass on Francois. The car has been both an instrument and a symbol of national power in the world. We're entering into new times and new equations for cars. Are there countries or regions that have particular advantages that are likely to emerge at the head of the line for driverless cars, electric cars, and specifically, will the driverless electric car of the future be a European or a national product? It's a good question. When you look at the dynamic of the world right now, the most pushing country is China. China's technology has a scale. And China has a big issue because they're building the infrastructure for the country. And they don't want the economy to depend upon the price of oil. Elon Musk yesterday signed a huge agreement to build another Giga factory to build not only the Model 3, which will be the mid-range car, but also the battery. And they want, by 2021, at least 25% of electric cars. So it's a political regulatory driven by the states. If you go to the US, it's a different equation. The US has won the battle of internet. The cloud. And they're winning the battle of data. So there is two main things which gather data is first the car. Because the car, when it's connected, then everything about your life. What time you go to work, how you drive. They can hear you as well, so you need to be careful. And at home. That's why you have all those person and assistant popping up everywhere. Because they will know at what time you go to bed. If you have a cat or many kids, what you see on TV, what you talk about, and all the information will go into the cloud. And definitely, today, the US is pushing very hard. But in terms of technology, the game of the US is to build an infrastructure in the cloud, which is mutualized, and the rest of the world try to connect to the cloud. And they are very, very advanced right now. Europe is late. Europe is a me too attitude. So they try to create internet giant they felt. On the cloud, I was chairman of the cloud research industry group for Nelly Cruz. And after three months, I said, dear Nelly, we lost the battle. And now for the data, they want to be part of the game in regulating and putting rules around privacy. But if you close your world, you will not have access to the services. The more you open yourself, the more access you have, the better service you have. But coming back to what has been said by my two colleagues, I'm very bullish on the future. Because with all the technology progress right now on the power of the chips, the power of the cloud, because you have trillion lines of codes that can be used everywhere into the world. And the power also of the R&D that we have, you will see an exponential progress in this industry very soon. And the future will be sooner than expected, I think. I was stunned to learn the other day that China today manufactures more electrical vehicles than the rest of the world put together. It sounds like we're in for a repeat of what happened with the digital information revolution where the United States exploited it. China decided to compete and capture. And Europe decided to accept and regulate. We may be back there. Me too. Patrick, this coming world of swarms of drones delivering packages. I'm using journalistic hyperbole, but you will put me in order. I won't walk away. And helicopter-borne taxis. How well-prepared are governments to begin to regulate that? Is it at a point where they are already falling behind? Actually, it very much depends on the authorities we're talking about. Obviously, the traditional one, like I'm talking about now aviation authority, like the FAA in the US, like the ASEAN Europe, they are very cautious. And we believe rightly so. They are very cautious because they have the world of experience. And for many years, they've been certifying commercial aircraft manufactured, helicopter aircraft manufactured to carry people at very high altitude, at very high speed. So they have to be careful. On, I would say, younger economies. People are more bullish. So some are still a little bit in the me too. I mean, for example, in Singapore, they are, on the one hand, very, very pushy to get a solution very fast, very early. But on the other hand, when you talk with them, say, well, we wait to see what the FAA is going to do. And then we'll kind of copy-paste the FAA. Then we've got the Gulf countries and the Middle East. And these are the most precious today. They really want a solution. They want to be the first one to have flying cars in their cities. It's a question of national pride for them. So they're pushing hard. So I think here, the regulators are almost asking the industries how they can accelerate, what can they do? So it's a little bit different dynamic from the normal one, which is the industry pushing. And the authorities calming us down in terms of making sure everything is done by the book. And China, of course, is a key player. It's the biggest manufacturer of drone today. They do like 80% of the drones flying. You've got companies doing drones today that employ 5,000 people that have research centers in Europe, in the US. And they are very, believe me, it's cutting-edge technology. This is what they do is extremely impressive. I was in Shenzhen a couple of weeks ago, meet with them. It's absolutely fascinating. So here the question on China is, are they going to leapfrog the helicopters? Because there are almost no helicopters, there are very few helicopters in China. The question is, will they jump directly from having almost no helicopters to having kind of flying cars and electrical ones? So it goes very well with, indeed, as I said, we all know that in certain countries are really pushing very hard for environmental matters for various reasons. And the Chinese do have a huge pollution issue in large cities. So yes, a huge push on electrical, but there's also a push to try to resolve the traffic issues they have. And that could be one of them. And yes, they are. They are very likely to be the first, either the Gulf or China, will be the first place where it will go. And the limiting factor and the people deciding the timing won't be in the industrials, because we'll have solutions fast. It will be the regulators. It'll be. The regulators. The regulators. Don Yves, my question for you comes on the governance side of this. So much of our communications today pass through space, including in many countries, including my own, a certain dependence on command and control systems of our nuclear forces and our communications with our military. Satellites are quite vulnerable to space attack, it seems to me, but perhaps you can enlighten us on that. Our government's beginning to figure out how to offer protection for these satellites that are off in space. And how would they do that? No, in fact, you have a number of different satellites. And most of them are completely protected against these kind of attacks. But of course, after that is a race. You have a protection. And the people invent something else and so on. But I am sure that if someone wants to really to attack the satellite system, it's probably easier to attack the software on ground than to attack the hardware in space. Because we know that there are many, many cyber attacks. And it's probably easier than to attack satellites. But we have satellites which are protected. And I do not know, and I think that it doesn't exist, an example of a satellite which has been attacked from the ground. But it could happen in the coming years. But there is a lot of protection. And I can tell you that it is not so easy to attack a satellite. It's very difficult. But I gather that in some countries, China is one example I hear cited. There is quite an effort underway to develop systems that can attack satellites. Yes, to develop systems. But I do repeat, I think that it's much easier to do it on ground than to do it in space. Because without entering into details, there are some other countries in China which develop content measures to avoid such attacks. Well, I want to thank the panel for a really invigorating discussion that has given you some inkling about what lies and wait for you. And what advantages and dangers that technology brings to our modern world. And so we end the session here. Thank you very much. Thank you.


Let us begin to learn to describe motion in all spatial dimensions. This lecture is simply part one of a much larger lecture on vectors, but we won't need to know everything about how to use vectors right now. We will merely define them and learn how to handle some basic operations. We want to go from one dimension to all dimensions. We live in a three-dimensional world, in space. Now there is an additional dimension for time, and we'll think about that some more later, but so far all we've been doing is describing motion in only one dimension. Again, think about the train moving forward or backward along a track. The track is the dimension and the train is constrained to only move on that dimension. But we need to do better, because in reality motion is complex and it takes place in at least one dimension, but it can be two or three, and of course the most realistic motions take place in three dimensions. But to get there we have to have a language in mathematics to develop such a description of the world around us, and for that we need vectors. Now in one dimension we can describe a quantity, like displacement or velocity, as a positive number which indicates motion in the forward direction along that coordinate direction or coordinate axis, or a negative number which indicates backward motion along that same axis. It's the mathematical sign, whether it's positive or negative, that is in front of such numbers that carries the information about the direction of motion. So we've already learned something about how to indicate the magnitude or length of a movement and the direction of that movement. But how can we incorporate more detailed information about movement in a specific direction? That direction may not be only along one coordinate axis. We want to be able to generalize the details of motion so that we can discuss motion, be it displacement in space or velocity, or changes in velocity with time, so acceleration, in any direction in a three-dimensional space. This can include quite complex motions of course. How do we do that? Well the way we're going to do that is to use a kind of number called a vector. Vectors are a numerical system and they are really a simple expansion of already familiar numbers. But these kinds of numbers allow us to encode information about both length and direction. Now let's take a smaller side here. Did you know that there are different kinds of numbers? Maybe this is the first time it's ever been laid out plainly to you, but in reality the kinds of numbers that are possible in mathematics are not limited only to the ones that we're most familiar with. So let's explore some of the ones that are more common in physics. There are scalars. Now scalars are the kind of number that you have really spent your whole life primarily using. So for instance five is a scalar. So if you say I have five dollars, you are making a scalar statement. Now you can think of a scalar as a directionless number. That is a number with magnitude but no other information. If you say that you have five dollars, nobody can infer from that statement what the next amount of money you might have in time could be. So a scalar is a directionless number. It doesn't tell you anything about what the trend is or where to go next. Vectors on the other hand carry this kind of directional information. A vector is merely a number with direction. For our purposes in this physics course, a vector can be constructed from scalars and we'll explore these next. Let me just note that there are other interesting kinds of numbers but this is by no means an exhaustive list. This is just an example list and one of the interesting kinds of numbers are objects called tensors. In fact scalars in vectors are a kind of tensor. Tensors are a more general form of scalars and vectors. In fact vectors and scalars are a subset of all possible tensors that you can write down. So one example of a tensor that you might have seen before is a mathematical object called a matrix. This is merely an array of numbers and it can have rows and columns. So you can have a 2 by 2 array of numbers, a 3 by 2 array of numbers, etc. This is a kind of tensor. But tensors are by no means limited only to the number of dimensions that you can physically write down on a piece of paper or imagine in your mind. They can have unlimited rank and rank is an indication of the kind of structure that you're describing with a specific tensor like whether or not it's a matrix or a vector or a scalar. And then there's an interesting kind of numbers that I feel is worth mentioning here only because it's a strange little beast and you may encounter it later if you continue in mathematics or physics. And those are numbers known as grassman numbers. These are numbers where the order of multiplication matters. Did you ever think about that with scalars before? Whether or not the the order of multiplication matters you're used to thinking that it doesn't. For instance 5 times 2 is 10 and 2 times 5 is 10. The order in which you multiply 5 and 2 has no effect on the outcome. But for grassman numbers that is no longer necessarily true. So for instance if A and B are two grassman numbers A times B is not necessarily equal to B times A and this may seem crazy but in fact this kind of number has all kinds of uses in mathematics and in physics it's found a home in advanced topics like supersymmetry and string theory which if you want to know more about that ask about it in the special topics portion of the course. So this is just to wet your appetite on numbers and their applications and the kinds of interesting numbers that are out there that are totally self-consistent in a mathematical sense. But let's focus on vectors. Here are the tools that you are going to need to understand and use vectors. You're going to need algebra. Algebra is a symbolic system of representing things like numbers and you need to be comfortable with symbolic representations of numbers or other objects in order to be able to manipulate and get answers from vectors. You need to be comfortable handling arithmetic operations like additions of traction, multiplication, and division between those numbers. And in fact in this lecture we're going to learn how to apply algebra to vectors using already familiar concepts from scalar algebra. You also need to be comfortable with geometry. You need to be confident with concepts like lines, angles, squares, triangles, and especially with the suite of tools that is referred to as trigonometry, the study of triangles and the relationships between angles and sides and so forth in such an object. Be comfortable with the relationships between angles and sides in a triangle, especially right triangles. A triangle where one of the angles is a 90 degree angle interior inside the triangle. And be comfortable with trigonometric functions like the sine, the cosine, and the tangent. I'm not going to go into details about these here. I've written them down on the slide at the bottom. You can see here the familiar definitions of sine, cosine, and tangent with respect to the labeled sides of the triangle. Here is an angle which is denoted by the lower case Greek letter theta. It has an adjacent side, it has an opposite side, and then there's the hypotenuse of the right triangle. And here are the definitions of these trigonometric functions and how you can in fact relate them to one another, for instance. Be comfortable with these ideas because whether we use them today in this lecture or later in the course, you're going to exercise them over and over and over again. So let's begin to think about representing length or magnitude. These words are interchangeable as well as direction using numbers. So consider the following arrow indicated in blue on this two dimensional coordinate system that I have drawn here on the slide. The horizontal axis denotes distances in the x direction in centimeters. The vertical axis indicates distances in the y direction, also in centimeters. And the blue arrow is the arrow I want you to think about for a good bit of the next part of this lecture. So indicating motion of some kind can be done with an arrow just like this blue arrow. It has a starting location, in this case it's zero common zero in the coordinate system or the origin of the coordinate system. And it indicates where you should go to get to the endpoint of the displacement or the motion, whatever we're describing here. And that's indicated by where the head of the arrow is, the arrow head. Okay, so we have a graphical representation of displacement in space, in this case it seems to be entirely contained along only the x axis. So consider the following questions about this arrow. What is the length of the arrow? What is the direction of the arrow? If the arrow were longer or shorter, would that affect its direction? If the arrow changed direction alone, would that affect its length? So ponder these questions for a moment, get out some paper, get out a writing implement, jot some notes down, see if you can come up with answers to each of these four questions. What is the length of the arrow? What is the direction of the arrow? If the arrow were longer or shorter, would that affect its direction? If the arrow changed direction alone, would that affect its length? See if you can come up with answers to these questions, pause the video and we'll resume in a moment and see what the answers are to each of these four questions. Considering the first question, what is the length of the arrow, we can begin by simply reading the graph. And I've already indicated this a few moments ago. We can see that the arrow begins at zero centimeters along the x axis, so its initial x position is zero centimeters, and it ends at something like, and in fact the way I drew this, it's exactly like 2.5 centimeters along the x direction. So we can say that the length of the arrow is 2.5 centimeters. Now recall from earlier discussions of length that it's always supposed to be a positive number. Whether we flip this arrow around to the left, or keep it where it is, as long as we preserve this 2.5 centimeter displacement from the origin, we've preserved the length of the arrow. So we could write that delta x, the displacement, is equal to 2.5 centimeters, but remember, displacement can be negative. If I put that arrow head way over here on the left side of zero along the x axis, then of course the displacement would flip sign. It would become negative 2.5 centimeters. We want a definition for length that enforces its positivity. It must always be a positive number. And for that, we can enclose displacement in a special mathematical operator known as the absolute value symbols. And this is just a pair of vertical lines that enclose the displacement, and whatever the value of the displacement is, the absolute value renders it positive. So even if the displacement were negative, enclosing a negative number in the absolute value symbols forces it to become a positive number, and this gets us what we want. So this is one definition of length mathematically. The absolute value of displacement is length, and that will be 2.5 centimeters for the specific example I've drawn here. So we've answered the first question, what is the length of the arrow? Let's consider the second question, what is the direction of the arrow? Again, reading the graph, the arrow points from left to right, from left where it starts to right where it ends. It points in the direction of increasingly positive x axis values. So you might have said something like, the direction is positive, or perhaps the arrow points in the positive x direction, something like that, even to the right would work in this case. But you see the problem here. There are many perfectly valid, but individually subjective ways of indicating directionality, because we have not yet defined a firm mathematical basis that we can use to consistently communicate direction from one person to another, independent of the vagaries or nuances of language. We need a way to represent that sense mathematically, and we're going to develop that in just a few moments. We can't keep using arbitrary words to denote direction. So let's fix that situation. But before we do that, let's consider the other two questions. The third question was, if the arrow were longer or shorter, would that affect its direction? You might have had to think about this one for a bit. I'll have a corollary to this question in a moment, because some of you might have been overly clever in thinking about the answer to this question. But if you merely think about grabbing the arrow head and compressing the arrow, or grabbing the arrow head and stretching the arrow, we would be able to change the length of the arrow by doing that. Imagine that the arrow head is made of a springy material that can be easily compressed or easily stretched. Fine, it still indicates direction. It still has length. You can shift the length around, but at no point does that cause the arrow head to point in a different direction. So shrinking the length of the arrow, the arrow still points to the right. Growing the length of the arrow, the arrow still points to the right. So it seems that length doesn't affect direction. Now some of you who are considering this question might have thought about pushing the arrow so far that it turns around and points the other way. But that's not the same as changing the length of the arrow. Changing the length of the arrow would be changing it from zero up to infinity, because length is a positive number. So whatever you do to this arrow to change its length, all you're doing is either compressing it down to zero or stretching it out to infinity. But flipping it around is considered changing the direction of the arrow. I want to emphasize that point now because it will come in handy when you think more about the mathematical definitions of vectors in a moment. And finally, the fourth question was, if the arrow changed direction alone, would that affect its length? So imagine grabbing the arrow head and just kind of rotating it around so it points in the other direction, but it's now made of an incompressible substance. You can't compress it, you can't stretch it. That arrow is really fixed in length. And so you flip it all the way around, does that change its length? And the answer is, well, no. And you might have had to think about this one for a bit as well. So we could have imagined something simple, like tilting the arrow until it points up along only the vertical axis, and it would still top out at 2.5 centimeters, but this time along the y direction, not the x direction. So indeed, it seems that turning the arrow in any direction preserves its length as long as you don't monkey with its length at the same time. So it seems that direction doesn't affect length. So let's sum up what we've learned by considering these four questions. An arrow is characterized by two quantities, length or magnitude, and direction. Length doesn't affect direction, and direction doesn't affect length. So however it is that we choose to represent arrows, we must have two pieces, two components to each arrow to represent its length and its direction. The mathematical representations of geometric arrows are what we call vectors. Now vectors in general don't have to have a physical interpretation. In a more advanced physics course, or in a more advanced mathematics course, you might be given vectors where it's impossible for you to represent them on a piece of paper with some physical line. For our purposes that won't be too much of a challenge, but I want to make the point that while it is true that we can use geometric arrows to motivate vectors, or vectors to motivate geometric arrows, they don't necessarily have to be connected directly to one another. But for our purposes, and especially because somebody like me is a visual thinker or a visual learner, I like to be able to ground my mathematical exercises in pictures. And I like to be able to take pictures and turn them into mathematics. And so for me, it's very important to emphasize both of these things. But for those of you who may have been exposed to the subject before, or to more advanced mathematical or physics topics, don't think that you always have to connect a geometric or pictorial representation to the mathematics of vectors and vice versa. You can have very abstract vectors that cannot be represented pictorially. So let's continue with this idea. Let's begin by defining the mathematical notation for a vector. I will denote the arrow to the left, this blue arrow, as V with a little hat over its head. And that little hat is shaped like an arrow to indicate that it has direction. So this is the notation for the phrase the vector V. So when I say the vector V or the vector Z, I mean the letter V or the letter Z with this symbol over its top, a little arrow. Now that arrow might be a full arrow. It might be a line with an arrow head on it, or it might be a line with only the top arrow on it. You'll see these notations both used and they're both perfectly acceptable. But either of these is the notation for the vector V. So let me go ahead and add that label to my line. So now I've taken and put that symbol over the top of the blue line. So this is my vector V, and there it is represented graphically. So now we need to be able to write an equation for V. V, the vector V must be equal to something mathematical. So we're going to try to relate it to its length and its direction. Now we've already kind of touched on length. The length of a vector is usually written simply using the letter without the hat. So for instance if I wanted to note the length of V, I can simply remove the hat and write the letter V and that is going to indicate its length. So anytime I see on a piece of paper somebody writing a letter with no arrow hat over its head, I take that to mean length or magnitude. If you meant vector, you need to put that symbol, the hat, the line with the arrow on the end over the the letter. Okay so that's an important thing to keep in mind. Notation matters because notation conveys meaning and meaning conveys intent in this subject. So you can explicitly denote the length using a more complex notation. You could for instance take the vector and enclose it in absolute value signs. For a vector, absolute value signs return not only a positive number but that number is the length of the vector. So if I want to say mathematically the length of vector V, then this would be equivalent to either the absolute value symbol enclosing the vector notation itself or just the letter without the vector hat over it. Either of these two are acceptable notations for magnitude or length and sometimes you'll find when you're solving a problem it's more convenient to use one or the other to avoid confusion in the way you're symbolically representing things in your equations. So I leave it up to you. We will exercise this a little bit as we go through the course. You'll see why some notations are better in certain situations than others to avoid confusion but either of these are acceptable ways of writing length or magnitude. So in our example to the left, this blue arrow over here denoted by the V with the arrow hat over it, the length V with no arrow hat over it is 2.5 centimeters. Now I'm not going to keep writing 2.5 centimeters. The reason we have algebraic systems is so that we don't have to write cumbersome numbers with decimal places and units all the time and in fact I'm going to emphasize this point now and it will be re-emphasized throughout the course if not already in class time. It is important if not wise that when you are solving a mathematical problem you keep things as symbolic as possible for as long as possible and put numbers in at the end because if you find yourself writing cumbersome numbers even ones that don't seem so cumbersome like 2.5 cm over and over and over and over again you are bound to make transcription mistakes. It is easier to check symbolic representations of numbers and look for errors than it is to constantly keep big cumbersome numbers on a piece of paper and find all the little mistakes you made in writing down the decimal places. If this number were 2.5179 I'm guaranteed to screw up the order of the one in the seven at some point if I have to keep writing that down over and over again. Symbols are your friend don't be afraid of them use them as much as you can it's why we have algebra. Now let's see where we are we can certainly write a partial equation now for the vector v because we know how to write its length so we can say that the vector v is equal to its length and then something else has to go in here to represent its direction. Now I've written multiplication and I'll motivate the multiplication sign in a moment but just what the heck are we supposed to put in here to indicate the direction of this vector we've only indicated its length we have not indicated its direction and for that we need to exercise a new concept unit vectors. To motivate unit vectors consider the arrow shown at the left. Note now that I have a red arrow that starts at the origin and points to the right. Now this is not the arrow we've been looking at the arrow we've been looking at was blue and it went all the way out to 2.5 centimeters before it stopped. This arrow has a different length it is a length of one in units of centimeters. If I asked you how might we manipulate this arrow to get it back to the arrow we had before with the blue arrow of length 2.5 centimeters how would you answer that think for a moment about this question how would you manipulate this arrow to restore it to the blue arrow we saw in previous slides. So think about that for a moment maybe jot some pictures down on paper jot some sentences down on paper about how you might do this pause the video and we'll get to the answer in a moment. If you said something like well we could scale the length of this new arrow by a factor of 2.5 to get back to our old arrow in other words grab the arrow head imagine the arrow is made of stretchy material pull on the arrow head to the right until its length is now 2.5 that's equivalent to multiplying a one centimeter length object by a factor of 2.5 to make it a 2.5 centimeter length object if you said something like that or something similar to that then you are absolutely on the right track the red arrow that I've drawn here is what is known as a unit vector and the reason it's called a unit vector is because it has a length of one unit means one in mathematics and a unit vector is a vector with a length one and the reason that these are so insanely useful is that simply by multiplying a unit vector by any real positive number you can get an arrow of any desired length that points in the same direction and if you want you can flip the direction of the unit vector by multiplying by a real negative number so that would be a way to flip the direction of the arrow from pointing to the right pointing to the left so instead of multiplying by 2.5 centimeters you could multiply this unit vector by negative 2.5 centimeters and that would flip its direction as well as stretch its length this can be illustrated quite simply so I've taken the red arrow on the previous slide and I've multiplied its length by 2.5 and voila we are back to our 2.5 centimeter length blue arrow I could have instead of multiplying the length by 2.5 multiplied it by 0.5 so cut its length in half and now we have an arrow that's half the length of the unit vector and still points in the same direction so this just indicates the multiplicative action of stretching or squashing the length of a unit vector by a real number now unit vectors have a special notation all their own they are represented by a letter or some other alphanumeric symbol with a little half triangular hat over their heads so for instance if I want to write the unit vector that points with vector v I would denote that as v with this little hat that looks like two-thirds of a triangle over its head so that special little hat always indicates that the length of this is 1 and its direction points in the direction of the original vector v so let's put all of this together we have the length of the vector v which is given by just the letter v with no hat over it we have the direction that the vector v points we call this the unit vector v with this little triangular hat symbol over it and verbally the way we say that is v hat or the unit vector v either of those are acceptable short hands for pronouncing this weird symbol so v hat is how I like to say these things so we have the length v we have the direction v hat the length scales the unit vector and so it must multiply the unit vector and so we finally arrive at the final form of our vector v in this mathematical notation the vector v is equal to the length of v times the unit vector v hat and now we have an equation it's complete it contains the only two elements that we were able to identify that were needed to specify a vector a geometric arrow length direction now let me make a comment on direction and positive signs and negative signs we could flip the vector v around by multiplying the right-hand side by a negative one I like to group the direction together with the unit vector so for instance I might write this as the length v out in front and then enclose in parentheses negative v hat that's just my taste the rules of algebra well specifically the rules of the distribution of multiplication in a product state that it doesn't matter where we put that minus sign I could put the minus sign in front of the v before multiplying the v hat I could put the minus sign in front of the v hat and then multiply it by v I still get the same answer at the end doesn't change the vector v so I'll leave it up to you as to where you want to put the minus sign but if there is a minus sign present I like to group it with the directional part of the arrow to help remind me that this is where the arrow points and you'll see why this is important in a moment when we define the conventional unit vectors for coordinate axes so for our original vector we would write it in this notation as the vector v equals 2.5 centimeters v hat where v hat is a unit vector that points in the direction of the vector v and there we go I've labeled my blue arrow now with that information now one last bit of notation terminology however you want to frame this and these are unit vectors that indicate motion along a specific coordinate axis like x or y or z a unit vector that points only along the positive x axis is denoted by the special symbol I hat a unit vector that similarly points only along the positive y axis is denoted by the special symbol j hat and a unit vector that points only along the positive z axis is denoted by the special symbol k hat now let me make a comment here it was easy on a flat screen to draw an arrow to the right and an arrow pointing up but we have a third dimension which is z and the z dimension its positive direction points out of the screen toward our eyes so I can't draw an arrow that does that we don't have a 3d TV that I can play with here and I wouldn't use that technology anyway because it's cumbersome and complicated so what we do instead is we have a sort of graphical notational shortcut when an arrow points up and out of the screen or up and out of a piece of paper we draw it as a circle with a thick dot in the middle and that indicates the head of the arrow pointing out toward us think about a game of darts you would not want to see the point of the arrow coming at you but that point might look like the cylinder of the dart with the tip as a point coming at your eye and that's kind of what this is meant to represent similarly if an arrow points into the page you would see its its aerodynamic stabilizing tail feathers heading away from you which is good for you and that would be represented by a cross if this was heading into the page will exercise that more when we need three dimensional vectors later so since our original vector pointed only along the x-axis we can write it in a more common and final form the vector v equals 2.5 centimeters times i hat because it only pointed along the x-axis now remember the comment I made about liking to to group the negative sign if one is present with the unit vector you can kind of see why now if this vector actually pointed to the left i hat would still indicate positive directions along x but I would flip that around by multiplying it by a minus sign so negative i hat points in the negative x direction or in the direction of increasingly negative numbers to the left so that's why I like to group the minus sign with the unit vector typically the unit vectors that you'll be dealing with our i hat for the x direction j hat for the y direction and k hat for the z direction and you'll want to indicate whether you're moving along positive x or negative x and so positive x would just be i hat negative x would be negative i hat that's why I like to group the sign with that symbol let's now consider the two vectors that are drawn over here in the graph on the left side of the slide we have our original vector in blue and we have this new vector here in red I want you to study this and I want you to try to answer the following question are these vectors the blue arrow and the red arrow the same or different so pause the video ponder this question jot some notes down on a piece of paper and see what you can come up with and try to answer this question are these two vectors shown here the same or different now let me nudge you a little bit to help you with this question in case you've been struggling with it or would like to check your answer with some additional information provided for you consider the following guiding questions do they point in the same direction do these two vectors these two arrows point in the same direction if so they must be represented by the same unit vector a second question you might ask is do they have the same length and if you judge that to be the case then the number multiplying the unit vector must be the same so with those guiding questions in mind are these two arrows these two vectors depicted here on the left the same or different pause the video check your answer think about it a little bit more and when you're ready resume the video these two arrows definitely point in the same direction after all the arrows themselves lie entirely along horizontal lines which would coincide with the x-axis or x direction in this graph they also have the same length this original arrow had a length of 2.5 centimeters and if you look very carefully you'll see while this arrow starts at a half a centimeter it ends at 3 centimeters and so again it's length is 2.5 centimeters so these two arrows point in the same direction they have the same length and since length and direction are the only two things that can describe a vector then you must conclude that they are in fact the same vector but how can this be I mean it's incredibly obvious I would hope that these two arrows do not occupy the same physical location in space one is down here definitely occupying part of the x-axis itself and the other one here is two centimeters up higher above it and shifted off to the right by half a centimeter the answer to this is in the math because a vector is uniquely defined by only two things its length and its direction then because the length and direction of these two arrows is not unique it must also be the case that these two arrows are not unique they are in fact the same arrow shifted around but with direction and length preserved and by this definition by this mathematical understanding of vectors and and the arrows that represent them it must be the case that in fact they're the same arrow just shuffled around in space so it turns out that this realization makes for one of the most useful properties of vectors you can transport them anywhere you like and so long as you do not alter the length or the direction of the vector you have in fact preserved the vector the vector it can be said to be invariant under transformations of its location in space that do not alter its direction or its length all of the vectors shown in the picture to the left over here are in fact the same vector the vector v equals 2.5 centimeters v hat it's the same vector we've been looking at since I drew this blue line on the x-axis to begin with it's just transported around in space but with no alterations to either its length or its direction and that means in fact mathematically it is the same thing now things get more interesting once we expand our thinking to two dimensions we've really been focused on vectors so far that lie along only one coordinate axis and it's time to shuffle off the the careful training wheels of this exercise and really try to master this concept a little bit more deeply the arrow shown here at the left on the same coordinate grid it in fact has the same length 2.5 centimeters as the arrow that we've so far been considering but it certainly does not point in the same direction so if you want reverse the video a little bit compare this arrow to the arrow we've been looking at previously and you'll see that while the length may have been preserved indeed the direction is definitely not the same this arrow no longer only points along the x-axis it points somewhat along y and somewhat along x and we have to find a way to think about that so how can we write this in mathematical notation how can we turn this graphical representation of an arrow a vector into a mathematical vector now this is where the first signs of trigonometry come into play we'll use more aspects of trigonometry going forward but in order to make the arrow shown here you can start to think about where triangles can play a role in understanding a more complex vector like the one shown left for instance we can think of this arrow as representing a journey and that journey begins at the origin 0 comma 0 and it ends where the arrow head points now there are of course many ways one could make this journey one could simply walk along the arrow that's the most obvious thing you could do you could take some really winding path that goes into all sorts of crazy places but eventually comes back and settles here on the tip of the arrow and in the end the displacement would be the same no matter what route we took so long as the starting point is the same and the ending point is the same so let's pick a convenient choice of journey that allows us to begin to think about how we represent this kind of two-dimensional arrow in a mathematical notation imagine first that we're going to make the journey by only traveling along the x-axis in the positive direction and going no further than where the tip of the arrow would if it cast a shadow fall down here on the x-axis and then we're going to start from that point and only make a journey vertically along the y direction until we reach the tip of the arrow and we will stop the displacement is the same the starting location and the ending location are the same as that represented by the blue arrow but we did it in two convenient steps one only along the x-axis one only along the y-axis so what we see by doing this journey from the origin zero zero only along the x-axis is that we would represent this part of the journey by another arrow and I've drawn it here as a dashed red arrow so as to distinguish it somewhat from the arrow we really care about the vector we care about which is shown in blue and is solid so the red dashed arrow represents that first stage of the journey along the x-axis and this takes us to a coordinate location that happens to be one point five comma zero we have now as I mentioned before traveled to the farthest point along the x-axis without going past the tip of the arrow we can then continue the journey as shown in this purple dashed arrow by going from the tip of the red arrow to the tip of the blue arrow and this takes us to our final point this second phase of the journey is only taken along the y direction so this is a perfectly vertical arrow shown here in purple with the dashed line so what shape does this whole thing the blue arrow the red arrow and the purple arrow which shape does it represent well if you said a right triangle you're absolutely correct this is a triangle where one angle in fact this one down here where the red arrow meets the purple arrow is 90 degrees now the long side opposite the 90 degree angle is the blue line our original vector and it is the hypotenuse of this right triangle the two remaining sides of this triangle that we have constructed here by imagining this journey they are what are referred to as the components of the blue vector the vector v the original vector one component lies only along the x-axis one component lies only along the y-axis so how would you write the x component shown in red with the dashed line how would you write the x component of this vector use what you have learned about vector mathematical notation and try to do this get out a piece of paper get out a writing implement and try to write an equation for this horizontal component of the blue vector in the mathematical notation we've been exploring so far keep in mind that the length of this horizontal side here is 1.5 centimeters pause the video now and try to work on this question on your own for a little bit and resume the video when you're ready to go further the answer is that the x component can be written thus I've chosen to write the x component as a vector but with a subscript x to remind me that this is a piece of the vector v that lies only along the x-coordinate axis and it would be equal to the length times the direction well the length is 1.5 centimeters I could have also written this symbolically is just v sub x with no hat over its head and it points in the positive x direction and that corresponds to a unit vector I have so using this lesson how would you now write the y component of this journey of this blue vector the purple dash vector how would you represent it in mathematical vector notation keep in mind that its length is 2 centimeters so go ahead work on this on paper for a moment pause the video and resume the video when you're ready to move on the answer is that the y component is written in the following way and the notation should be clear at this point the y component of the vector v which I've denoted as v with a subscript y and hat over it is equal to the length which is 2 centimeters times the unit vector that points in the direction that the component points and that's entirely along the positive y axis so that's represented by j hat the unit vector that only ever points along the positive y direction since the total journey is accomplished by first journeying along the x-axis shown by the red dashed line and then adding to that an additional journey only along the y-axis how do you think that the whole vector v should now be written you have the component along the x-axis that represents the red dashed you then add to that a journey along the y-axis you have written that component down as well how would you mathematically represent the entire vector v using this information and the components we have so far try to work this out on paper pause the video while you're doing that and resume the video when you're ready to move on the answer is that the whole vector v with the hat over it is written by adding together the two components you simply sum them you make the first journey and you add to it the second journey you make the horizontal journey and then you make the vertical journey and this is simply addition of two vectors we have a vector who only lies along the x-axis 1.5 centimeters i hat and we have a vector that only lies along the y-axis two centimeters j hat they have no things in common that allow us to simplify this further and so this is about the simplest that we can write this particular vector and we're done so the vector v is 1.5 centimeters i hat plus two centimeters j hat and we're done that's as far as we can go with the mathematics of this and congratulations you now have an equation that represents the graphical blue arrow shown over on the left now one last point can be made here how do we know that this is all self consistent how do we know we've done a good job of representing the vector v with these components after all this thing we've drawn here is supposed to be a right triangle and that should give us a test that allows us to check our answer so can I demonstrate that the answer that i have written down for the vector v makes sense here's a test i can do so by employing the Pythagorean theorem the Pythagorean theorem states that for a right triangle the length of the hypotenuse which can be written as h and that would be the length of the blue arrow when squared so h squared should be equal in length to the sum of the squares of the links of the other two sides of the triangle so in other words if i denote this side as l with a subscript 1 and this side is l with a subscript 2 in length then if i square l1 and i square l2 and i add those together the Pythagorean theorem states that the length of this side over here the hypotenuse squared should be equal to that sum and you can just take the square root of h squared to get h so let's check this for our example we know that the length of the hypotenuse was 2.5 centimeters because that was the vector we've been playing with this whole time a vector of length 2.5 centimeters so let's take the links of the sides 1.5 centimeters on the horizontal 2 centimeters on the vertical will square 1.5 centimeters which i've done here will square 2 centimeters which i've done here so this gives us 2.25 centimeters squared and 4 centimeters squared which when added together yields 6.25 centimeters squared and if i now take the square root of 6.25 centimeters squared you will find that h equals 2.5 centimeters so let's go a little bit further and let's take this idea of adding two vectors together to a more general next step in order to build the vector v we had to add two vectors together but each of those vectors laid only along entirely one coordinate axis one vector the horizontal component was only along the x axis and one vector the vertical component was only along the y axis but consider the vectors that are shown here in the graph on the left we have the blue vector which is the same vector that we've been looking at this whole time but now we have a new vector v2 which is shown in red and i've drawn it so that it starts at the end of the first vector and then goes to its end point but i could have also drawn this vector as starting at the origin and having the same length and direction remember the vector is the same as long as you preserve its length and direction so i can take the red vector and i can move it wholly as long as i preserve length and direction anywhere in this grid so i could have easily drawn the red vector is also starting at the origin and going up to its end point in the direction it currently points i chose to do it this way because it will be helpful with the next step how might we add these two vectors together in vectors are just a kind of number and numbers have arithmetic operations defined for them so how would we add together two vectors we want a single vector that represents this entire journey so let's let's see if we can work through this we might imagine writing out graphically the components of these vectors as shown in the left you see that i've done a horizontal journey and then a vertical journey to get to the end of the blue arrow and then i've done a second horizontal journey and then a vertical journey to get to the end of the red arrow and this makes two right triangles so i can see that my two vectors v1 and v2 have each x components and each y components and we can see that to make the full journey all i would really need to do is travel the v1 x component followed by the v2 x component and then take the v1 y component followed by the v2 y component and that would get me to the end of this two vectors so all i need to do to get the total vector represented by adding v1 and v2 is to add the components of the individual vectors together add the x components add the y components and this will give me as a result the biggest the big vector capital v with a hat over it that represents the sum of v1 and v2 so let's write each vector using components and then do that addition so here we go here are the mathematical representations of our two vectors v1 hasn't changed it's still 1.5 centimeters i hat plus 2 centimeters j hat now there's v2 well if you had looked carefully at this you might have drawn the conclusion that in order to do the horizontal walk the x component of v2 I just have to go a distance of 1.5 centimeters from where I start to where I end along the x axis so again that's 1.5 centimeters i hat and then to get to the tip of the red arrow all I have to do is make a vertical journey of 1 centimeter along only the y direction which is j hat so v2 is 1.5 centimeters i hat plus 1 centimeter j hat now let's add the two vectors together mathematically and before we do this I want you to keep something in mind adding these two complex objects together v1 and v2 is really no different than adding one algebraic expression like 5x plus 6y to another algebraic expression like 7x plus 2y what you do is you group the coefficients of like terms so if I'm going to add this expression 5x plus 6y to 7x plus 2y I see that they both have an x and an x term and they both have a y and a y term so I can group the x terms together and then add their coefficients and then I get a single coefficient that multiplies x and I can do the same thing with the y terms and I've demonstrated that here in line 5x plus 6y added to 7x plus 2y well you have to add 5 and 7 and that gives you 12 so the resulting simplified expression is 12x and then you have 6y and 2y so you're going to add 6 and 2 and the resulting expression is a resulting term in this expression is is 8y so the final simplified sum is 12x plus 8y in vectors it's the unit vectors that take the place of the algebraic symbols like x and y and you merely add their coefficients together so group like unit vectors together and add their coefficients with signs included so here we go I want to add v1 and v2 I write out v1 in all of its glory and I write out v2 in all of its glory and I bracket them off to remind myself that originally these were two separate entities that I'm now summing together shown here with the big plus sign now what I do in the next step is I group like terms well I have a 1.5 centimeter i hat term and I have a 1.5 centimeter i hat term so I can add those coefficients together and and the resulting sum will wholly multiply i hat and similarly with the j hat terms I have two centimeters and one centimeters those can be added together and that result wholly multiplies j hat so let's do that and this works out pretty nifty three centimeters i hat three centimeters j hat that is the vector capital V with the hat over it so I could have just done the following this is the graphical way of representing the sum of two vectors we can see that the big vector V is just one long journey along the x-axis that happens to take three centimeters followed by one long journey along the y-axis which also happens to take three centimeters and so we could have simply represented it by this purple arrow shown here in the graph on the left labeled with the capital V with a hat over it it starts at the origin where the blue arrow starts and it ends at the unmatched arrowhead of the red arrow which is where the second part of the journey ends so to add vectors graphically like this all you have to do is put the vectors tip to tail the tip of V1 is located at the same place as the tail of V2 if I'm adding V2 to V1 and then connect the unmatched tail which happens to be the one that belongs to the blue vector to the unmatched arrowhead and that happens to be the one that belongs to the red vector and draw a line that connects them directly straight in the coordinate system that is the resulting vector from summing from adding these two vectors together adding V2 to V1 now a slight twist on this is subtracting vectors mathematically subtracting vectors should now seem much more straightforward I mean after all adding V1 to V2 is not much different from multiplying V2 by a minus sign and redoing all your arithmetic operations where instead of adding the coefficients of the V2 terms you subtract them so mathematically this is not a big leap but what I want to emphasize is that there's a way to graphically do this as well that will help you to check your mathematical answers so again here are V1 and V2 and as I said before I can draw V2 anywhere I like and so for now I'm going to draw V2 starting at the origin and and ending up here at 1.5 centimeters and 1 centimeters in the coordinate grid this has the same direction and same length as V2 did before and I'm going to try to subtract V2 from V1 so I'm going to do V1 minus V2 and get some new vector capital V from this so you should try this out you should work this out on a piece of paper and if you do this you should find that mathematically the answer is what is shown here that the new vector capital V is a x component that has no length it's zero centimeters in length because 1.5 minus 1.5 is zero and its y component is one centimeter in length because two centimeters minus one centimeter is one centimeter so I wrote this out in kind of you know an exceptionally long way of doing it but there is no x component because it has zero length and so really the resulting vector only has a y component it only points vertically and it's one centimeter in length so I've represented this graphically over here with a vector that starts at the origin and goes up one centimeter in length and stops on the y-axis here but keep in mind I can transport this vector anywhere I like and so long as I preserve the length and the direction it's still the same vector so let me do this in a suggestive way let me move that vector over here so that it starts on the tip of v2 and it ends on the tip of v1 this is completely allowed by the rules that we explored before and so a graphical interpretation of the vector subtraction now becomes clear if I subtract v2 from v1 the resulting vector can be represented graphically as a line that starts at the tip of v2 and ends at v1 so all you have to do is to get the drawing of the resulting vector from the subtraction of two other vectors you are going to start that third vector on the arrowhead of the second vector and draw it pointing to the arrowhead of the first in the subtraction terms what would happen to the capital V vector if instead I had calculated v2 minus v1 what I've shown you here is v1 minus v2 but what would it look like if I did v2 minus v1 now I'm not going to show you the answer to that once you think about that a little bit play around with it do it mathematically do it graphically and see if you can come to a comfortable answer to this that you're satisfied with this is a good place to try this out as a bit of a leap off the the known territory and see how comfortable you are with the answers that you get let's review the key ideas that have been introduced in part one of this lecture on vectors the key ideas that we've learned in this section of the course are as follows we have learned some of the kinds of numbers that are available in mathematics to describe physical quantities we have learned to represent motion that is displacement velocity acceleration anything that can be represented by a vector in more than one dimension using the more general vector concept and its associated graphics and mathematical notation and as a first foray into using vectors we have learned in both a graphical sense and in a mathematical sense to add and subtract vectors I want to comment here that in a later lecture part two of the vector lecture we will learn about additional vector operations arithmetic operations that are needed to describe the physical world but for now what we have encapsulated in this discussion will suffice for our needs for multiple topics to come in the course


Gunsmoke brought to you by Chesterfield Chesterfield packs more pleasure because it's more perfectly packed thanks to Accu-ray They satisfy the most Around Dodge City and in the territory on West there's just one way to handle the killers and the spoilers And that's with a US Marshal and the smell of gun smoke Gun smoke starring William Conrad the transcribed story of the violence that moved West with young America and The story of a man who moved with it. I'm that man Matt Dillon United States Marshal The first man they look for and the last they want to meet It's a chancey job And it makes a man watchful And a little lonely Glad to get back to dodge Wichita is a nice town Chester. All right. You like it so much next time you can come alone. I got no It's almost over train leaves about 10 minutes. I've been worried all morning. We might miss it That's gonna be a long ride. Why don't we wait outside here till they yell all aboard, huh? You sure do hate setting down don't I like fresh air Chester bet you can go on if you want Wait Well, you could be fine in this a couple of seats. Mr. Dillon the Santa Fe Guarantees a seat to everybody who buys a ticket I was only trying to give you an excuse to get off your feet. Well, I ain't started all life.   Why don't you ask her? Mr. Dillon, I don't even know her I'm gonna stop him Who that gentleman standing by the car? He's a singer too gentlemen Looks more like a drunk crowd eating me Yeah, let's kind of walk over that way Say maybe he doesn't know her mr. Gunn. Yeah, maybe. Oh, I doubt it So he's too mean and ugly looking get acquainted. You know my name was Laster ab ab laster How do you do? I do I'm meeting my partner in dodge Joe Garrett Have you known? I'm sorry, but I've never been in doubt. No, well You know what makes two of us First least we ain't gonna be lonely. Are we? Well, that depends Depends on what if you're a gentleman Sure Yeah, I know now I got a bottle here. Why don't we get a board and and we'll have us a little drink Come on Well, no, it's a matter of you Start out being real friendly when you freeze up Come on. We're getting that train like that. Say now buy you a little drink. Let me go Mr. What do you want? Let the lady go Looking for trouble ain't you know he tried to force me onto the train He wanted me to drink with him. I don't you worry miss. He won't bother you one mind in it Not till you bust it in ab laster, huh? How do you know my name how I heard you tell the lady?  You're gonna wish you'd never seen me. I'm wishing that already Now move. I'm sorry for all the trouble. There's no trouble miss. I Didn't mean to get you into a fight. It wasn't your fault, but I always feel that it is What? Why just my being a woman I guess you know Well, that won't be any more trouble than this not till we get to dodge anyway, come on.   Oh, we'll show you the rest Chester go get her baggage. Will you well? I miss him Dodge kind of frightens me Marshal. Oh, why? I'm only a woman and I've heard so much about the terrible things that go on. Yeah, I don't you worry Raina Nothing will happen to you. I do feel safer when you're around Excuse me Yeah, what do you want Lester?  I just don't like what you did Dylan Well, I didn't do it for you Lester. All right Are we taking some horses up north a few days and then we'll be back. I'll be here I'll be here every day Those men want Marshal nothing Raina. Nothing important. I'll bet there's going to be more trouble over me, isn't it? I don't you worry about it. We'll find your room and then I'll take you over to the long branch and introduce you to kitty Russell She's half owner of the place. Oh, come on Chester's waiting. I have you been Chester's been telling me about this little new girl Rina Decker. No Sounds like a mighty sweet little apple Is that what Chester said? No, I didn't say that at all That's what you mean Chester, but is it true man? Well, you can go see for yourself doc I think she'll be working at the long branch tonight. Oh, kitty. Hi there Well, I left them talking together about an hour ago. Good. I'll drop by that night if I have time Oh, you'll find time.  It'll be worth it leave him leave him down It's a good thing nobody has to depend on a sibri like you Chester. I Don't know what that means, but it sure don't sound nice and don't ever let me catch you saying Oh, it's kitty. Come on in kitty join the fun. I'm afraid I'm gonna spoil a fun doc. Oh What's trouble kitty? I thought I'd better come tell you before you hear it from her Matt What? Rina Decker isn't going to be working at the long branch. Oh Oh Well, why not I didn't hire you didn't hire her for ever more. I Well, I'm not saying she isn't pretty in all that Chester, but I've seen her kind too often They mean nothing but trouble. Well, I don't understand kitty. She seems like a nice little girl You men are all alike pretty face throws you every time a kitty I have no interest in her beyond trying to help her the way I'd help anybody Who started that fight in Wichita Matt? I had blaster. He was annoying her She didn't leave him on huh on our kitty. You're being unfair that girl's here all alone She doesn't know anybody and she needs a job sure and when I had to leave her at the bar a few minutes after you brought her in She almost got another fight started Now, why would she do that some women like men fighting over them? I see Kitty What really is it that you don't like about her doc hasn't seen her yet, huh? Yeah, no, no, no, but I'm sure interested now a kitty.  Oh, sometimes a woman takes a dislike to another woman and nobody ever knows exactly why it's just here They're sure hard to track anything. Now they got their ways I guess Within so we that's right We ain't always the plain and simple are we? Where are you going those men in front of the long branch they're gonna fight mr. Don't look at them. They're about to draw They're both down go get dark Chester. They look dead to me get him anyway I'll see if I can find out what this is all about. Yes. Anybody know these men Now I didn't see you here kitty. Hello, man. Maybe you know these men, huh? Just a couple of riders. I don't even know their names. Well, what started it You wouldn't believe me if I told you. Oh, what do you mean? Talk to her about it. Oh I'll go with you All right, Marcia wasn't it terrible. I was so scared Rena Have you any idea what started this? Oh, I don't know Marcia I I was talking to them at the bar and they suddenly got mad at each other and they came out here That's all I know. Well, are you talking about Rena? Nothing just talking and why'd they get mad? You know how men are yeah, I know I know how some of them are See you later, Matt. Hey, you're sure kitty Marcia What Rena?  I don't know Rena. I'm not sure what I think Who'd want a steak without the flavor or a rose without the scent?  Why not go for all-out enjoyment with Chesterfield?  It's been troubling you too, ain't it? Some yeah, you've been awful quiet since yesterday I've been thinking Chester. Oh I'm going to the long branch here. You want to come sure I do Pretty busy ain't they just always kitty you weren't at the burying kitty. No Uh Is Rena around? Right over there at the bar with two men as usual. Oh What you doing? Look at that blaster in that Garrett fella. I didn't know they were back in town That didn't take Rena long to find out. What do you mean? She brought him in with her when she came to work But then of course she and Laster are old friends by now Kitty why don't you go over to the bar there Matt have a drink on the house Why eavesdrop a few minutes you might learn something Really going to take me to dinner mr.. Laster. Oh, why sure what about me ain't I invited huh? Well, I Guess that depends on mr.. Laster. Yeah Well some other time Garrett This year's gonna be my night tonight Well, you make it sound like mr.  Well, of course you are No man's going to put up with that. Is he mr. Garrett?     He killed him Marshall.    No sure he killed you. Oh He was so scared Rena four men have died because I wouldn't believe kitty about you What? Now you get out of dodge now And don't ever come back.  Why not enjoy the all-out smoking pleasure of a real cigarette our Chesterfield? Chesterfield gives you more real rich tobacco flavor more real smoking satisfaction cigarette after cigarette after cigarette and if you smoke for real smoke Chesterfield a real high-flying satisfying Chesterfield because you get much more of what you're smoking for in Chesterfield for real Real flavor more real pleasure check for perfection by accurate They satisfy the most Chesterfield Gun smoke produced and directed by Norman McDonald stars William Conrad as Matt Dillon US Marshal Our story was specially written for gun smoke by John Meston with music composed by Rex Corey sound patterns by Tom Hanley and Bill James Featured in the cast were Lynn Allen Lawrence Dobkin and Harry Bartell Harley Bear is Chester Howard McNeer is Doc and Georgia Ellis is Kitty Who'd want a steak without the flavor or a rose without the scent?  Why not go for all-out enjoyment?