Yes, but does it work? Yes. OK, great. OK, so I will continue on the Dyson-Schringer equation. And please, again, do not hesitate to ask questions. My plan is, as I said, to tell you about five applications of the Dyson-Schringer equation with the idea that by repeating the same techniques five times at the end, you will understand it. But maybe it doesn't work like this, and you prefer to understand one better. And so you should just ask questions. I will go more slowly. And maybe I will do one application less. OK? So today what I want to discuss is the denialization of what I told you about yesterday to matrix model in a perturbative setting. So we consider the following probability measure. So I will take several matrices. It will be the only result with several matrices, which is connected with the last talk yesterday. So you look at 1 over z, and then you have exponential of minus n, the trace of b in x1, n, xm, n. And so this is the notation that Sasha also used. So it's a Lebesgue measure on Hermitian matrices. So v is going to be a polynomial. And we will think about it as independent Gaussian matrices, plus a small interacting polynomial.  So if you plug self-adjoint variable in v, then you get a self-adjoint matrix. So that this is real. That's the important point. You want to deal with probability measures. And what I will assume is that I need to have v going to infinity well enough. And in fact, I assume even more. I want that the trace of v is strictly convex. So the action of the trace of v is bounded below by c times identity. OK, so I take what I mean with a sum, I don't know, alpha i1, i p. So these are complex, essentially, x i1, x i p. Yeah. That's a classical polynomial with complex entries, but the whole thing is self-adjoint. You would have liked this to be matrices, or? Yeah, no, no, I mean it's just OK. So I could add fixed matrices which would come into these words. This is what you mean to say like what you did, but this is doable. This is doable. So you could have an extra family of matrices. But then the answer would be even more complicated because it would depend on the joint law of these guys. And again, this would have to come here. So OK, and so the, not today, but this is doable. OK, and so the theorem I want to say is that if c is positive for all k, which is an integral number, we can find epsilon which depends on c and k positive. So that's somehow what we proved yesterday, which was the expansion in the dimension of the expectation of the trace. It's going to expand in n up to our dot 2k. So this means that the expectation under pnv of 1 over n, the trace, let's say, of a word, xi1, xim, OK, so xik. So here, these are just integers between 1 and m. So this will expand. So it will be some 0 to k, 1 over n to the 2p, and times something that I will not to p of xi1, ik, so it depends on epsilon, plus small o of 1 over n to the 2k, yeah. And also, you look, for instance, at the free energy. So the partition function is here. It's a normalizing constant for this probability measure. So you have also the same type of expansion. Here, and then a bonus is that you have an expression for this, so the analytic function in epsilon, so epsilon of xi1, so maybe I should have put g. It would have been more. xi1, xik is the sum over, OK, so this is this of the product. So maybe I should just write it in short, the sum of alpha q times q. So q are just monomials. This will be the product minus epsilon alpha q, kq factorial. And then you put mg of the 1 xi1, xik, kq, q, k. And so what are these numbers? So it's like yesterday. So if I have a family of, let's say, p times of monomials, so this is going to be an integer number, which is going to count maps, OK? So to define it, I need first to associate to a monomial of vertex, OK? So maybe I should go over there because I am going to go in the dark corner otherwise. So to a monomial q, which is, let's say, xi1, xip, you associate a star, so what we call a star of type q. It's a vertex with colored half edges, which depends on your letters here. So it's rooted. So the first half edge has color i1. It's a root. The second has color i2. The third has color i3, i4, i5, and so on, until ip. So you can think about it as a vertex of degree p, but with half edges which are colored, depending on which letter you have one after the other. So if you have only one letter, it's just a vertex of valence p. OK, and then, so mgq1q1qpqp, so that's the number of maps. So remember that maps are connected graphs that you can draw on the surface, so it's of genius g, which is built on ki stars of type qi. OK, so for instance, let me imagine that you have, I don't know, q that you have only two colors, and you have q, which is x1, x2, x1, x2, q prime, q1, and q2, x1 to the fourth, x2 to the fourth. Then what you see is that this one will correspond to this type of vertices, and this one will correspond to just r. That's a red, which is not very red. OK, what about the green? Yeah, I don't know. OK, so you have a white one and a green, red one. OK, so you have these two types of vertices, so you draw them, let's say I have three like this, and I have one like this, and I don't know, two like this. And now, all what you want to do is to match the vertices which have the same color, so that the total genus of the map is given by g. So it has to be connected, so I don't know you have to do something like this. And so you see, I just did one matching, and apparently this matching does not live on the sphere because you have this crossing, but you can apparently draw it on the torus. So this would be a genus one. No, I didn't see that one. OK, that's terrible. Let's keep it a genus one because otherwise, I have to count the genus. I mean, with the other one, that could be a genus two or a genus one, I would have to count the number of faces. So OK, this is a genus one. And if I would have done something, I don't know what I could have done, but something different like this, and that'd be a genus zero, for instance. OK, so you imagine you're counting these numbers, and this is defined through the mg. All right, so some comments on this theorem. First, on the literature, so it's the literature. So this type of expansion was first proposed by Toft. And then, in a physics paper by Brezen, Parisie, it's in a physics paper. And in mathematics, there was a paper by Ercoloni and Ken, McClothin with here, when you have only one matrix. This case with several matrices, it was me and Edouard Morel-Ségala. And the point is that on several matrices, actually, there are not so many results. That's much more difficult than the one matrix. So in this generality, we don't know how to have something which is not perturbative. So next time I will show you in one dimension, you can take epsilon large, but here we need epsilon small. So there are still one generalization, which is to take only convex. Well, we need convexity. Actually, we can take epsilon large, but it's only convex. And it's only the limits of k equal to 0. And this is recent work by Jekyll and Dabrowski. And there is also something which works better, only also for k equal to 0. It's when the interaction is AB interaction. In this case, you can get limits, but you cannot get full expansion like this. And of course, when you can get the full expansion like this, you can easily also get the central limit theorem. So what I want to show you today is how to prove this kind of results. I will not do the several matrix on the board, because it's just more notations. But in the lecture notes, it's done with several matrices. So I will keep with one matrix, which is a bit weird, because tomorrow I will show you how to do it in a much more clever way with one matrix and more general way. But at least I think it will give you all the ideas to do the several matrix, and you can look at it in the notes. So the ideas are really like yesterday. We want to use these Dyson-Tringer equations. Is there any question on the result? Ah, sorry. I didn't put it. So I forgot that. This was something else. Yeah, sorry. I'm just saying that if the action is bounded below by C, C is positive. So you have a strictly convex trace of V. Then for all k, you can find epsilon C of k. It's going to zero with k. So that if epsilon is smaller than this positive number, then you have the expansion. It's the epsilon here. So the V has to be a small perturbation of the Gaussian case. That's really the point. And maybe actually a remark, which is that it's not very clear how convex functions of several matrices look. And so there is a lemma, which helps you to get some idea, which is that if you take a function f, which is convex, from r to r, then you can define f of a matrix, x. So x in the set of m-mission matrices. And trace of f. Then this as a function of the entries of the matrix will be convex. So then this shows you that if I take q, for instance, if q is convex, so this means the action is non-negative and I have this extra term. I get example. So I can take q of x1 is m to be any sum of pL of x1, sorry, sum of alpha L xi, where the alpha Li are real, and the pL are convex. So I'm just saying if I take any of this kind of combination of convex function of linear function in my matrices, this will be the trace of this guy will be convex. So this hypothesis will be fulfilled. In general, somehow you want that the potential q is going to infinity in the right direction. Because of course, if q was going to go to minus infinity, then eventually the partition function would be infinite and the system wouldn't be well defined. So you need to have some hypothesis. And for instance, this kind of example are going to do it. Other questions before I go to the proof? No? OK, so the proof is to go to use the Zistation-Schringer equations and the Ethan-Schringer equation. OK, and now that I've said I will take m equal to 1, again it's really only for notational purpose. And to simplify also, I will take it v to be symmetric. And then I'm going to write the Ethan-Schringer equations. And so this will be that. So if I look at the same kind of formula as yesterday, this will be the trace of x plus epsilon. So it's a derivative of q times xk minus 1 times the product of the yk i. I remind you that yk was the trace of xk minus its expectation. I take the same expectation as yesterday, but I have this extra term, which is going to come into the game. And this will be the expectation. So the right-hand side is exactly as yesterday with the sum of the trace of xl 1 over n, trace of xk minus 2 minus l, and times the product of the yk i plus the expectation of when you differentiate this guy. So it will be the sum i equal to p. And then I have the 1 over n, the trace of xk minus plus k i minus 2 times the product of rj different from i of ykj. OK, so if epsilon equal to 0, I have the same formula as yesterday. But today I have this extra term, and the proof is again by integration by parts. I'm not going to do it again. The proof is from the fact that if you take, I am not going to develop, but you can check this is going to work. So you differentiate this times the product of the yk i times the density. And you take the sum of the ij, then you will check that you get exactly this formula. OK, so for the problem here is that we see we cannot do as yesterday, because our relation is not an inductive relation anymore, because here you have this polynomial which have higher degree. So you could say, OK, these polynomials here are still of lower degree, but you cannot create all polynomial by just multiplying by this. So you have to do something. And so what we are going to do is to have, so we are going to prove compactness and concentration of measure, which was the first step yesterday, by some external result, which are coercive inequality, by functional inequalities, inequalities based on the fact that the issue of trace v is bounded below. These two results will just be due to this assumption, which will be crucial, which we cannot really deduce from the equation now. And then we will solve asymptotically the equation. And then to solve this equation, it's, again, a bit more complicated than before, but we have to show that somehow we can invert, as we will see, some operator. So this is what is called inversion of the master operator. So it's still mysterious, but this is somehow the way that we can do to solve the equations in all these problems. OK, so let's start, unless you have some questions. So what are going to be this functional analysis, so coercive inequalities? So that's very, actually, very nice results, which are used a lot in probability. To say that as soon as you have a measure which have a density, which is strictly log concave, somehow it looks like a Gaussian measure in many ways. And these inequalities provide you quantitative estimates. So it's very useful. And so the first one is due to herpes. So we have the concentration, which have that so if we look under p and v, and we take any function f of the entries minus its expectation. So the probability that this is greater than delta going to be bounded by exponential minus nc delta square divided by what I will denote grad f. And here, grad f is the sum of the derivatives square. And you take the L infinity norm. And that's, I could have taken any probability measure whose density, the log of the density, as a relation which is bounded above by minus n times c. So remember, c was a lower bound on the trace of v, but then I multiply by n. I will get this result. It's regardless of any other assumption. And then I have brass complete inequalities. And what brass complete inequalities tell me is that if I take g to be convex, so again convex function of the entries, then the expectation of g of the entries that I recent by mij, so mij is the xij under dp and v. So under dp and v, I can compare this expectation with the one under the Gaussian law. It's also all the entries. But now what I have is n trace x square. So this is actually p, but of the Gaussian potential. That's absolutely not easy, because you would say, well, it's easy because here I just use the bond on the upper quantity. But the point is that you have the right renormalization. So this is really the probability measure of the Gaussian case. And this is very nice, because of course, as I said yesterday, when we have the Gaussian case, we know how to compute many things. So we can use, a priori, all these bonds from the Gaussian case. So now how are we going to use it in our context? So we are going to take our favorite trace, what we want to prove the lemma. If we look at the trace of x and k, so we want to show that this is bounded for independently of n. And actually, what we are going to prove is even when k goes to infinity, so by using results on the Gaussian case. So I think I'm going to take some bond like this, something like this. For all k, which is smaller than maybe something like quote of n, I just need something which is going to infinity fast enough. It could have been log n. And then the other thing that, so this is compactness. And then what I'm going to do is to have concentration inequalities. For any choices, I can bond this by some d of some of k i. So here, I just, I mean, if I would use only what we did yesterday, I would have some k finite. But for later on, I will use k going to infinity. And I will abstractly take some results on the GUI, which is kind of unknown. And so how do we deduce this kind of result from here? Well, for the first result, we just take g to be the trace of x to the 2k. And because of Klein's lemma, we know this is convex. Ah, yes. And so here, I simplified. I assume that v was symmetric. So this is where it makes my life a bit easier, that these terms disappear. Otherwise, I can do estimates. But it's taken me up sometimes.  In the notes, I think I didn't simplify my life, so you can see how to do it. And so if I do that, then what I deduce is that this trace of x to the 2k under dp and nv is bounded by the same thing, but under the GUI, OK? And this, so by what we saw yesterday, it's smaller than actually here I had the n. Here I put the 1 over n. And now I can use the result. So as I said, what we saw yesterday is that it's bounded. Actually, you can see also that it's not going too fast. Even when k is going to infinity, more slowly than n to the 2 third. So you can use this kind of result. And so this is a comm-loche-fruity, who proves that, or Soshnikov, who have many proof of this kind of bounds. But so this is ready for free once you have brass-complete inequality. So for the second one, it's also more or less this. The only thing that we have to be a bit careful is that our function are not going to have this norm which is bounded because we have polynomial functions. So they are going to go to infinity at infinity. However, because of this result, and this is why I need some input, I know that my eigenvalue are not going to go too far. So in fact, I can proceed by approximation to deduce this result. So just the concentration. So you take first f, which is c1. And you deduce. So you want to take maybe g, which is c1. And you want to take f, your function of the entry is to be trace of g of x. Then what you see is that, so you want to compute this quantity to know how your rubon is going to go. And so if you compute the derivative of xij, you can see that this is going to be g prime x of gi. We saw that yesterday when we have a polynomial. And so you can imagine that if g is just a general elliptics function, this kind of formula generalize. So then when you have this, so what you see that this thing is going to be the sum, the l infinity norm of the sum ij of g prime x square gi. And so it's nice because you don't have a sum in this over n square term, but only over n. You can bond this by n g prime infinity square. All right, and then when you plug this into your inequality, your herpes inequality, this implies that the expectation of the trace of g minus, so maybe I can go in to state this greater than delta is going to be smaller than exponential minus c delta square times g prime infinity square. And this is true for any delta, so you can integrate it to get the only moment going to be smaller than g prime 2k over c to the k, and then I have the Gaussian moments. So to conclude, to get this bond, you only need, as I said, to use this control, and then to proceed by approximation.  So you take g, which is x to the k, well, x to the l. And on x smaller than 3 divided by square root of c, and then smooth, let's say, going to 0 afterwards. And you can deduce from here that you have a bond also on the trace of x to the l minus the expectation. And so this gives you this estimate by using order inequality. All right, so let me at least show you how to deduce from there the convergence. Here it was just because in brass complete, you have to subtract the mean of each entries. So you also get still the Dyson-Schringer equation. And the idea is that somehow in your potential, you have much more confining potential. And so you can show that by your Dyson-Schringer equation, actually, this term is going to be bounded. Yeah, yeah. Also, you can see that the expectation of this guy by rotation, by invariance, by multiplication, by unitary matrices is going to be diagonal. So then it's actually a constant time identity.  OK, so let me show you, after all this technical thing, how to use this inequality to prove at least convergence. And again, this convergence is only true in such a generality. I mean, it's only known in this kind of perturbative setting. Convergence, here I will forget about the extra terms. So I don't take this, I don't take this, and I don't take this. I'm sure I'm going to regret I did that, but that's life. OK, so on what you see here, because you know the covariance is bounded, and here you divide by n. So if you divide by n, this is going to be approximately the sum of the product of the expectation. OK, as before. So you see that now all these quantities, because of the compactness, are well-bonded. So you know you can take limit points. When you get an equation for the limit points, so you have limit points. So along the sub-sequences, but you can see that this will converge towards some mk, which, yeah. And so if you look at the equation, that the limit will satisfy. So I will have mk plus, so let me expand the q prime. So it will be a sum and some, let me write that q is a sum of alpha i x to the i. So then what I get is the i alpha i, where we'll have m of q minus 1, q plus i minus 2. This is coming from this term. So this will be the sum over l equals 0 to k minus 2 of ml, mk minus l minus 2. And so the point now is to show that this has a unique solution, which is bounded. So the question is unique solution. And you know something more, so you know because it's trivial that m0 is 1, m1 is 0. And you also know that a priori, you had this bound, that this was smaller than this thing over there. And so to prove uniqueness, so you know that there is a unique solution when epsilon is 0. So it's really a perturbative argument. And the idea is just to assume that you have two solutions and show that it's impossible to provide that epsilon is small enough. And to do that, you just get a closed equation. So you take two solutions first, m and m tilde, two solutions. And you take the difference. So you put delta mk, the difference, mk minus m tilde k. And what you get is a delta of mk. This is going to be bounded. So this I put it on the other side. So I will have epsilon, the sum i alpha i. And then I have delta of m. Well, actually, there is also value k plus i minus 2. And then I do the difference also here.  So I can bound these two by the sum m. And for the other one, I just bound it by my a priori bound. So it will be 3 over the square root of ck minus l minus 2. And now to show that there is a unique solution, I take a generating theory. So I will take delta m. So let's take l of delta, which is the sum of the delta k, delta mk. And then what you see that so in the case k equal to 0 and 1, this is 0 because the boundary condition of the same. And so what you get is l delta is smaller than epsilon sum i alpha i. So here, I multiply by delta to the k plus i minus 2. And I divide by delta i minus 2. And I sum over k. And I forgot something, and delta mk plus i minus 2. And then when I have this thing, I also the sum inside. So I will have delta to the l, delta ml.  Then multiply by delta k. So I have still delta square. OK, and if you do that carefully, you should find that you have l delta, which is smaller.  So this is for the first term when I sum over k. And then the other one, I will get plus delta square. I have this sum, but which is converging provided delta is small enough. So I have 1 minus 3 over square root of c delta. And then I have l delta. So you see that if epsilon is small enough so that you can find delta positive so that more than 1, there exists a unique solution. And so what you have proved is the convergence at this point. So you have proved that. So this is true, of course, if epsilon is small enough. So here also I use that l delta was finite by my a priori bound. And so what you conclude is that the expectation of 1 over n the trace of x n to the k. So this converts to mk, which is solution of this equation, on which is a moment of some function, of some probability measure. OK, so that's the first result. What you can check also is that if you look at this equation, it's also satisfied by this solution that I was telling you, this enumeration of maps. And so because you have a unique solution, again, you can see that this limit will be given by this generating function for the enumeration of maps. And so I will not have the time to show you how to prove the next order today. But just in one minute, since I anyway started a bit late, I can show you how to deduce the convergence of the free energy from there, the convergence of the free energy. Well, to do that, it's an old trick that if you look at the nv, so it's x squared plus epsilon q, the potential is this. And you divide by the n of x squared, the log. You can write that this is the integral of the derivative of this guy. And when you do this differential, you have to remember that this was your density, so the exponential minus n trace of q coming. So actually what you get is the integral 0 to epsilon. And the mean, so under the interpolated potential, so the potential is tq of 1 over n, the trace of q. I think there is a minus. OK, and now what you see is that here you are in a good shape because this potential will satisfy all your hypothesis. I mean, it's a convex combination of x squared plus epsilon q on x squared. So it's still convex. t is even smaller. So now you can go to the limit and deduce that you have this. So that's how you can prove a convergence of course each time and it can become more and more complicated when we get to more and more complicated models. It's not always easy to find actually a good interpolation. And also, here you are happy because you know this partition function. It's well known. It's a Selberg formula. But in other cases, you don't know how to compute it. So for instance, in the analog problems when you look at in dimension 2, it's not known how to compute any of these partition functions. So in this case, you cannot deduce from there an asymptotic formula for this kind of model with potential. But in this case, it's possible. So next time, I will show you how to deduce in the same ideas the second order, the CLT and the second order. And also, then I will go to more complicated cases where we don't want to assume convexity. So all these a priori tools that I showed you on a breast-complete inequalities and Epps argument are not available. Thank you, Siri, if you have questions.


Yep, we're doing it. What's up guys? It's Jacob here We're back for another reaction video. We're back For another rugby player reacts to an American football player video today's video is a player that I've not reacted to and I'm pretty surprised unless he came he was probably on the top 100 players of 2019 I Just can't remember him. I I've seen him in fact this one this top 100 series has been really interesting It for the fact that you know if we scroll down here read NFL films collected 970 ballots and interviewed 132 players now You can guarantee that not all 132 players that were interviewed are actually going to get their Parts on a particular video, but one guy who has been consistently throughout this series is Chandler Jones So as far as what I know about him as a player, I don't know fuck all but as far as his vocabulary as far as how he speaks I Like it I Do and so also as a massive UFC fan myself And if a John Jones fan, you know regardless of his off-field antics or as out of octagon antics I believe he is a champion. I believe he's certainly got that champion mindset And I feel like having the same genetics Chandler Jones is probably going to be cut from the the same cloth So to speak so before we do get into this I am going to look up his stats I want to know just how big just how fast and just how strong he is And once we've done that we're gonna watch this video. So let's go I've been waiting and wondering where is Chandler Jones going to come up? Well, are they just using him as a great interview? Couldn't be sure. He's 30 years of age. He's six foot five So an inch taller than his brother and he's 255 pounds and well That's a fair few kgs more than his brother to although John Jones is moving from light heavyweight to heavyweight So that's very interesting. He went the 21st pick in the first round of the 2012 draft He came from Syracuse. He played for the Patriots from 2012 to 2015, which must mean he's a Super Bowl champ Yes, he is he's got one Super Bowl. He's got three Pro Bowl appearances 15 17 and 19 got traded from the Patriots to the Cardinals in 2016 Apparently he's currently injured played three years at Syracuse 101 solo tackles from 32 games 10 sacks One in deception for 32 yards. He's listed at six foot five and three eighths of an inch So I'm gonna call him six foot six 266 pounds 487 for the 40-yard dash now that's moving for that size 35 inches on the vertical 10 foot on the broad jump 22 reps on the bench Jones was considered one of the best defensive end prospects for the 2012 draft and with that being said he went 21st overall He was the highest selected player from Syracuse since defensive end Dwight Freeney in 2002 On May 23rd 2012.  Was it? It was his birthday. So February 27th 2017 his 27th birthday They placed the non exclusive franchise tag on Jones on March 10th Two weeks later. He signed a five-year 82.5 million dollar contract extension with Cardinals on December 19th Later that year. He was named to his second Pro Bowl He finished the season leading the league with 17 sacks which set a new Cardinals franchise record He was ranked 28th by his fellow players on the top 100 players of 2018 2018 He led the team in sacks with 13. I don't think he was on the list last year for some reason some weird reason But what I do know is that I did react to him in 2018 And with that being said it's probably about time we do another one. He's certainly a veteran. He's played 124 games guys He's currently injured Unfortunately He suffered a torn bicep in week five of the 2020 season and was placed on Indian reserve on October 15th Which was two months ago a torn bicep. That's not going to be easy to come back from so 124 total games 432 combined tackles 300 of which are solo. He's got 97 sacks. He got 19 sacks last year The year that we're referring to in this top 100 yet 19 played 16 games 53 combined tackle 19 sacks eight eight forced fumbles Which is the which is double his previous best five passes deflected. No wonder he is number 15 on the list No wonder and at the size he is that's a scary prospect. All right You know, but I don't know that I feel like they did a lot of the Cardinals players wrong especially like Chandler Chandler was here yesterday. What do you think? You got some hard-earned questions for me. Am I talking to you? Are you guys going to talk about how I didn't make the list last year?  He's still got 13 sacks. How did he not make the list last year? That's my question. I Was absolutely and utterly confused. I couldn't find his listing What happened right here? I started us stemming around before the snap Hang on why did Chandler don't why did Chandler Jones not make the top 100 players of 2019? Cardinals Chandler Jones Left off the NFL's top 100 players list Arizona Cardinals had a miserable season last year finishing with a record of three and 13 But one player who did play well for the Cardinals with outside linebacker Chandler Jones despite playing well last season He was left off the top 100 players list Before 2019 Jones had made the previous three top 100 lists All as a member of the Cardinals in the 2018 rankings He was listed at 28 falling off the list completely after previously being in the top 30 comes as a surprise Especially when comparing his numbers to other players around the league that is a surprise. I Think that's just I think people must have forgotten about him As sad as that is Because I love you mate. I think they just forgot about you What I was trying to do is to get up, but they didn't miss you gonna set me up and jump set me I tried to get close to him so he can jump me did exactly what I wanted him to do I just jumped back inside slipped inside Side force fumble. I was setting him up.  Chandler Jones, Chandler Jones, Chandler Jones Bro, how the f**k? How did he not make that list the year before? Chandler Jones, Chandler Jones, surely that happened the year before, surely Chandler Jones is an alien Chandler Jones one of those underrated players at football While Chandler Jones might not be a household name He's made himself at home in the NFC West I'm trying to watch Chandler Jones Chandler just packed at it right there So talented right he's got all the kung fu moves Chandler Jones just lined up and ripped his man Chandler Jones jumped on that one Oh shit F**k it up That's what his brother does in the UFC Joining the Cardinals in 2016 Jones leads the NFL with 60 sacks and it's time for the lead lead with 17 forced fumbles New York Giants, they put a tight end on me Chandler Jones My people don't talk about Chandler Jones He was a force when we played him this year I remember I came out of my set I had him locked on, I was on I don't think I'm in good position Nah, he just, he just He literally threw me off and made the play Oh! He wants the ball Let's get the ball F**k it Third sack today for Chandler Jones There's a lot of guys in this league that have these tools but don't really use it This guy knows it Nice tackle, look at that Drives the shoulder in on Barclay One of the most devastating running backs right now That did what he has and he uses it very well But for number one Chandler Jones Chandler Jones Chandler Jones Worthy back Of course Chandler Jones is number one And I tend to believe you That you're one of the best on the defensive side of the ball A sack machine you could say And so far this year Like we said, he's injured He's only played five games I'm hoping I'm hoping he comes back Chandler Hoping he comes back before the end of the season Chandler Jones bicep injury Ah! He's out for the season Requires surgery Alright guys I don't know if you can see but we've got none other Than Tom Brady, the Goat He's listed with the Buccaneers Although this video is going to cover him with the Patriots I've got a Tom Brady jersey I'm going to go and get it I'm going to go and chuck it on I've actually got a A Lamar Jackson one too And he's still yet to come We've got Patrick Mahomes, Tom Brady Lamar Jackson, Kyla Murray We've had Aaron Rodgers Cam Newton? No Drew Brees?  All will be revealed That's all I can say Thanks for watching guys We've got 14 more players to go And I ain't stopping until we're done So I'll see you in the next one Thanks for watching Like the video if you've liked it And peace out


You got it, dude. Guys, what's up? Shawnee Knox here. Welcome back to the channel. Hope you all are having a good day.  Shout's out to all the new subscribers, what's up? So I shot this footage about two weeks ago. I've only been able to sit down and edit it and take a look through like now. So we're gonna watch this footage today of Khan and I, he's a subscriber. He wanted to come skate and try to learn a few things. So I was more than happy to kind of guide him in a way. But anyway, I'm gonna stop blabbering on. Let's check out the footage, guys. What's up, guys? We're out here at Iron Park today, obviously. The skate park lockdown in Australia's been lifted. So we're able to go out and skate. I'm here with a subscriber today. His name's Khan. What's going on, guys? He reached out to me on Instagram and wanted to have a session and I offered to help him out with a few things. Teach him how to drop in and kick turn and stuff. Get the basics down. So that's what we're gonna do today. So shout's out to you, Khan. Basically, guys, talked to Khan a little bit about foot positioning and weight distribution. Just to kind of fine-tune any kinks here and there while skating around. Foot positioning does make a big difference when you're learning to skate because if you do start learning bad habits from the jump, it's gonna be harder to eradicate those bad habits. Show us before how you had your foot when you were just cruising around. I kind of just had it flat on the edge. So what happens, guys, if you're kind of flat-footed on the back of your tail when you're cruising around, it limits the use of your ankle pretty much. It locks it off. It feels pretty tight, like just like I can't bend anything. Yeah, but when you're on the ball of your foot, it kind of gives you a lot more freedom to kind of move about and wiggle your toes and your ankles and stuff. So he's only been skating two months, so he can already ollie. I couldn't ollie after skating for two months. I didn't ollie till I was about 10, actually. All right, so at this point in the video, guys, I went through a bit of foot positioning with Khan, a bit of weight distribution on your board. I decided to get him to do some rolling around on the banks just to kind of get the feel for rolling in and out of transition. Let's check it out. If you're feeling like confident enough, you can even add in a pump and then turn around. Oh, really? Yeah, that'll kind of get you further up the bank. It's a kind of a lot to do in one hit, but once you figure it out, it'll be second nature, to be honest. Oh, God, that's a bit too fast, man. You got it? There you go. I'm in your way. As you go on, you'll find that you'll be able to just turn in one axis. You won't be like, kind of, yeah. But, you know, we all start somewhere. Just make sure to use your shoulders, because as I'm watching you, your body's kind of staying stiff. There you go. I'm trying to have someone to, like, spot me. Yeah. See that? There you go. Because if you're using the full rotation of your arms and your shoulders, the rest of your body will follow. There you go. Whatever you learn this session, the next session, it'll also be there. Yeah. That's crazy. Good work. We're putting in work today. We'll try, try. Well, after I got kind of warm up a little bit on the banks, we decided to head down to the bowl, just because the transition in the bowl is a lot smoother. It's not so rigid, like a bank, so I figured if he's gonna learn to pump, it'll be in a bowl where it's, like, nice and smooth as opposed to, like, rigid banks. So, yeah. See how it's a little bit smoother than the bank? It feels less, like... Less, yeah, less rigid. Is this your first time in a bowl? Yes. Yeah, see. Oh, finally. I just wanna use your momentum and you keep going in between the two transitions like that. How much you're compressing when you hit the transition and then you're standing and then compressing in again. Yeah, there you go. Look where you wanna go to, because I can see you're looking at the... Round.  You're kinda teaching someone to ride transition. I know for a fact this helped me when I was learning how to ride transition. I kinda had this skate coach to kind of hold my arms and guide me through. I was able to do this with Khan, so then that way he was able to kinda get a feel for the transition, as well as having me there. So if he fell, I would be able to, like, save him from, like, falling on his face or something, but yeah, I think it helped out a lot because he was able to get the feel for the transition a bit more and kinda understand timing a little bit also. That's a good way to win, I'd say. Yep. Oh, shit, I wanna go and get him. So after we had a little bit of a roll around in the bowl, guys, we decided to head over to the little quarter. I think it's about one and a half foot of water. I demonstrated a few drop-ins for him, and then I was there to kinda help him drop in as well by holding his arms, and then he had a few guys that were dropping into the one foot by himself, which he did really, really well on, so let's check it out. You'll kinda step on your board and you'll naturally figure out how to have your feet, but once you drop in, your back foot might turn a little bit. What you wanna do is, you wanna press down into the transition. So like before, when you're pumping in and out, you wanna kinda press down and keep your weight forward and look where you wanna go. So basically, you just wanna kind of keep your shoulder parallel with the board and then just kinda transfer, I wouldn't say stomp, but transfer your weight from your, this side of your body. Yeah. Just into the front like this. I can do it. Regular feet. It's gonna rain a lot. There you go. You got it dude. There you go. That was a good one. I reckon you got that. So as you can see guys, Khan was pretty steady dropping into the one and a half foot quarter. They talked him into trying it out on the three foot. I think it's a three foot quarter, just because the length of the quarter is a lot longer. So you have more time to kind of take that transition whereas a one foot is you kind of drop in and then you're already at the bottom. So there's not much time to really understand the logistics of how your board's kind of dropping into the transition. You kind of drop in and then you're at the flat. So we headed over to the three foot quarter pipe. Let's check out the footage. Push your weight into it. As you guys can see, he did manage to get a few drop-ins on the three foot with me guiding Khan. He did wanna try it alone, but he was kind of feeling a bit scared and he was feeling a bit tired too. So we decided to call it quits there. As you can see, it took a bit of a tumble and I didn't wanna push him any further because today had already been a big day of like learning and taking things in.  Khan's a really nice dude. I think we're actually gonna catch up again to film the second part of this video to kind of continue where we left off. So make sure you guys stay tuned for that. Thanks for coming up man and hanging out and everything. Nice to meet you dude. Nice to meet you bro. Cheers for being a subscriber. I feel like proud or like, I feel rewarded for helping you out today skating and stuff. Honestly, like, I never thought I would even drop in on a small ramp like, it's like, I don't know. Just me being able to teach you and seeing you hyped on learning has like sparked me wanting to learn more stuff. So it's been a good day. Like seeing progression. Yeah, exactly. Yeah man, awesome. Thank you bro, thank you. So that brings us to the end of the footage on that day guys. I had a blast kind of coaching Khan. Like I never thought I'd be able to kind of be a coach, you know, or it's not really coaching. It's kind of me offering advice on skating. So yeah, that was sick. Definitely keen to do it again. We did work through a lot of things. Like I said, it's always helpful to have someone there with you while you're skating. To kind of look at how you're kind of skating or doing the trick or whatever and kind of break it down for you to understand and show you how to go through the motions and stuff.  If you're new to my channel, make sure you subscribe and check out the rest of my videos. Khan had only been skating for a couple of months at this point and just seeing him get hyped over learning new things. It's really rewarding. It's really cool. Awesome feeling. I remember when I first learned to drop in, it was at the Sydney Royal Easter show. It had like an X game set up and there was Street and then Vert. I went into the Vert for some reason. I was in a group of like 12 other kids were all skating around and doing kick turns and stuff. But if it wasn't for the instructor, I can't remember his name because like a 90s Australian pro skater, Michael something had Brown Kelly hair. After the clinic had finished, he actually said like, if you want to stay back and I can help you out and teach you how to drop in. I still hadn't figured it out at that point. So if it wasn't for him spending another 10, 15 minutes with me on that day, teaching me how to drop in, I probably wouldn't have learned to drop in. Hope you guys enjoyed this video. Smash the thumbs up, subscribe if you're new. Make sure you follow me on Instagram at enuckism. But until next time guys, cheers for watching the video. I'll catch you all in the next one. Bye.


From Las Vegas, it's theCUBE. Covering VMworld 2018. Brought to you by VMware and its ecosystem partners. Welcome back, we're in Las Vegas and you're watching theCUBE's exclusive coverage of VMworld 2018. I'm Stu Miniman, joined by my co-host, Justin Warren. And happy to welcome to the program for a first time, James Lobaki, who's a director of product management with Red Hat. And joining him is CUBE alum Rob Young, who's the lead manager of virtualization product management strategy. Also with Red Hat, wearing the Shadowman logo. Rob, James, thank you so much for joining us. Yeah, thanks for having us. All right, so Rob, you know, we touch base with Red Hat and a number of shows, you know, Red Hat Summit. We spoke with you last year at VMworld, gives the update, you know, Red Hat's got a nice booth here at the show, a lot of things going on. Red Hat plays in a lot of the multi-cloud environments that I hear VMware talking about. So talk about your presence here. So Red Hat has done quite a bit of growing over the course of the last year that we talked. We are focused on not only where our customers are today, but also on how our portfolio needs to evolve to where they aspire to be.  We have Red Hat virtualization. We have OpenStock platform. We have, you know, the open shift, as you know. And what we're learning from our customers and the market is that on top of RHEL, customers have not only a footprint in the virtualization world, but they have an aspiration to evolve, along with the market, to more of a containerized world that is managed, orchestrated, delivered via Kubernetes. And we feel that our portfolio is well-positioned with the pillars of our business, from infrastructure to application, middleware all the way through management, to allow them to, you know, act on those aspirations, not in the future, but right now. So that's where we are. That's our strategy is built around that vision and around that level of enablement and market dynamic right now. So we're excited, wouldn't you agree? Yeah, absolutely. So we've seen a lot of interest in open shift adoption, whether that's on the VMware platform itself, out on the public clouds, and then on our KVM-based hypervisors with Red Hat virtualization and OpenStock platform as well. Yeah, it's interesting because I've watched this, the adoption of containerization in the marketplace. What's the line I hear from Red Hat? It's like, you know, Linux is containers. Containers are Linux. You got that good. Yeah, I got the T-shirt too. So, but, you know, here at VMworld, it's, you know, some people are still trying to understand that virtualization versus containers and how do I stack things? How do I do that? What do you hear from customers?  And talk to us about, you know, kind of, it's pervasive in the product line. So how do you think about it internally too? Yeah, absolutely. So I think, you know, containers are absolutely Linux and Linux is fundamental to containers. So I think one of the most interesting paradigms that we're seeing, one of the interesting trends we're seeing is that as people are beginning to adopt containers, they're also beginning to realize that they're looking to simplify their environments as they do that. And so it's presenting a lot of new opportunities and reinvigoration of other technologies. So things like, you know, traditional virtualization that they have in place today, they're looking at maybe, you know, bringing along KVM and starting to orchestrate containers and virtual machines with Kubernetes in a consistent manner across both on-premise and public cloud providers. So we're really excited to be involved in projects around that, where we're helping drive the adoption of that. And with that reinvigoration of KVM as a hypervisor, based on that work, to bring a common orchestration layer, we're seeing even, you know, reinvigoration of the ecosystem around KVM with partners of ours like Trilio, Maxta, Veeam, and so on and so forth, which we've been kind of discussing. Yeah, well, sorry. Yeah. Well, I was going to just add to what James said. What we see also happening is that the Linux market 25 years ago was open source, contributor, laden. Red Hat was, you know, fully engaged there. We are seeing that very same dynamic happening in the Kubernetes environment. We actually see that as very much the equivalent of what Linux was 25 years ago. So we are contributing, you know, to upstream to the Kubernetes project. But our goal there really is not only to stabilize and build out Kubernetes, but also to bring the virtualization aspects that we have brought into KVM and to virtualization into the Kubernetes project and community so that we can get rid of an additional layer of complexity around the hypervisor allowing containers to be managed and deployed and to have the same isolation levels that you have with VMs now. So all that is in process now. We've got upstream work going on and we're leading, you know, a lot of those contributions in the Kubernetes community, specifically via the QBird project. So, anyway. Leads nicely into what I wanted to ask about, which was, Red Hat has a long history of open source and open source is a really important part of containers in general. What are you seeing from enterprises in their adoption of open source? I mean, clearly you've watched it go from something which was once verboten to now it's pretty much de facto. So what are you seeing customers using open source for in this new cloud and container world? Yeah, so I think, you know, the typical pattern we see is a lot of times, previously people would look at open sources as a way to commoditize and reduce cost. That was the beginning of open sources, right? With the Unix to Linux migrations and things of that nature. Now, you know, open source and really Linux is at the forefront of a lot of the innovation happening. So customers are using both those basically techniques inside of their environments to embrace open source. So at one point, they're using their Linux skills to commoditize things inside their environment and reduce cost. They're also looking at as the basis of containers, microservices, machine learning, you know, so on and so forth. So really this common skill set of Linux is kind of both on both sides and it's really rooted in the open source knowledge and methodologies that our customers need to be able to. You hit the nail right on the head when you mentioned that, you know, everything that has to do with the new modernization of the data center built on containers is open source. And, you know, Red Hat's participation in the community is we already have credibility in the Linux world, in the OpenStack world, in the KPM world, in the Kubernetes world as well. So, and what we're seeing on the customer side, specifically enterprise and, you know, public sector is they're embracing open source. They've actually got strategies that name open source as part of the criteria for, you know, proof of concepts and things like that. And, you know, we believe we've been preparing for this moment for the last 25 years for the market to really see this as an open opportunity, not only for, you know, open source and communities, but also to enable their development staffs to extend and participate in those projects to their advantage. So, you know, it's a really good thing. You know, for Red Hat- It's encouraging to see it, yeah. Having watched it develop, it's been really nice seeing that actually get used with enterprises and seeing that Red Hat is there the whole way through that and as a trusted partner, I'm sure it gives them a lot of confidence. One thing I would add is just, you know, it's not just about the ability to deliver open source and use it, although delivering that with a long life cycle is something that is a, you know, core, you know, core competency of Red Hat as a company, but also the ability to actually effect change in those communities and get contributions back in is really key and then even advising customers on how to do that is something that we're, you know, it's easy just to say, hey, we do open source, but actually providing that life cycle around it is a whole other story. Yeah. Red Hat has a lot of experience living in a lot of different environments. Just Linux is pervasive in the data center and in the cloud. When you talk about multi-cloud, customers need to figure out how to, you know, deal with these multi-cloud and environments and, you know, multi-cloud, multi-hypervisor. How does Red Hat help customers through this journey? So there's, we have a really good story there and a really good enablement. There are basically four footprints that you can deploy an application on. Vert, physical, virtual, public and private cloud and Red Hat portfolio deploys nicely there. RHEL, VMs, OpenStack, OpenShift, containers, you name it. So, you know, our approach is not only do we allow the deployment there, but also the management of it as well and we agree with you wholeheartedly. Workloads are portable, they're mobile. People are going to move them between clouds, on-site, they're going to burst into clouds. So our solution to that is the management console that we provide with cloud forms and our management vision going forward for software as a service and some other things that we're doing is all about that heterogeneous environments, multiple hypervisor, multiple cloud providers, multiple OSs as well. So, you know, we want people to see Red Hat as a platform to stabilize on, not a solution where they have to go out and popple together a solution. They should be able to do everything with our product in a portfolio from a single management console, including that heterogeneous environment with multiple hyperbys and multiple clouds. So, that's how we approach it and we're building on that concept, not only with cloud forms, but also with the new core OS tectonic platform that we just, you know, acquired. That'll be part of OpenShift. And then going forward, our management business unit is working on a software as a service consumption-based model that allow customers to do the same thing from their phone as an example. So, you know, it's that vision, but we've already executed on it, but it's only going to get bigger. One thing I would add is, you know, one thing that's fundamental to our vision is that we're actually delivering a consistency across all those footprints. So, it's not one version of Kubernetes for public cloud, another version for on-premise, a different automation tool here and a different automation tool there. It's consistent, right? Ansible automation across bare metal on-premise, virtualization, private, public cloud. OpenShift with the foundation of RHEL consistent across all those for one version of Kubernetes across all of them. So, I think that's a big key differentiator as opposed to some of the other visions where you have one version on public cloud, one version on private, different disparate tools for each of those. We really believe in kind of simplifying that from a complexity standpoint. Well, Robin James, really appreciate you giving us the update on Red Hat. We'll be back with lots more coverage from VMworld 2018. For Justin Moore and I'm Stu Miniman, thanks for watching theCUBE.


I remember I was in grade 8 and I was playing on my grade 8 team and then the coach from the grade 9 team asked me to play with them so I played with them as well and then the grade 10 team and then senior teams that fund an academic side, I mean poly-sized so I was kind of like we're better to study at them in the capital and I knew it would give me some interesting internship opportunities during the summer. It was nice going into this team because it really is like a family like a lot of the different girls who are from Ottawa their families took me in. I think the first half of the season is rough it's when we get we get forced into adversity so that the second half is easier we have to lean on each other and it brings us closer together so that when we come back in January everyone's feeling a bit better a bit happier you still have that closeness that you felt during the hard time and I think from basketball we learned that a couple years of hard work is really worth in the end like we have a year of hard work in practice but championship means it's all worth in the end.


Hello in this lecture we will work on journalizing transactions right here we're going to journalize those transactions here and then we're going to post them to three different places one being the quick post to the trial balance in this entry section so we can see the activity in a quick and easy way and see what the effect is on the trial balance then we're also going to post it to the subsidiary ledger so these are going to affect accounts receivable much of the time and accounts receivable is representing what is owed to us and therefore we also need to know who owes us the money so we're going to start recording that to the subsidiary ledger which will be in order by client or customer in this case and then we're also going to record it to the general ledger so we want to see all of the type of activity that would happen when we're recording these transactions focusing on the accounts receivable cycle so we're going to see the quick reaction here to the trial balance directly analyze that then recognize the fact that we do want to sort this by customer in this case and that would be done through the accounts receivable subsidiary ledger and then of course we have the general ledger and we're only including the general ledger here for the accounts receivable account so we're not going to record every general ledger account of course every other account here would have a general ledger account but we're focusing in on accounts receivable and therefore we're just going to record the general ledger account for receivable to distinction to have a distinction between that and the subsidiary ledger here so of course we have our trial balance right here and that's going to have our assets are going to be in green we've got our yellow or orange or our liabilities the equity account in the light blue and then we got the revenue and the expenses on the bottom we know that we are in balance because the debits minus the credits equals zero and we're going to point post our activity here we also can see that net income is here this is actually income not a loss because it's the revenue less the expenses and there we have the income here and then of course we have our accounting equation up here where the assets are the green ones and then the liabilities notice there's no negative sign here because we flip the sign and then all of this is the equity there must be equity all right so now let's record these out so the first one says perform work on account and invoice the client and the client is Smith in this case so we got 35,000 we did work we invoice the client so is cash affected in this case no because we did the work on account and we sent out an invoice did not yet get the cash therefore we did get something we got an iou that iou being accounts receivable so we're going to say accounts receivables what we have received in this transaction and that is an asset account it's just in undercash and assets have debit balances we need to make it go up how do we make something go up we do the same thing to it as what it is which in this case would be another debit so i'm going to debit the accounts tape i'm going to copy that right click copy one two copy and then i'm going to put my cursor in c five and then right click and paste it one two three so we're pasting just the values not the formulas just the values here and we'll keep the cells looking like they are in that blue color and then we're going to put the amount 35,000 every debit is going to have an equal number of credits for every transactions we're going to have at least two accounts so we're going to have a credit here we will be representing the credits with negative numbers or bracketed numbers in the excel worksheet so we're going to type negative 35,000 and i'm going to hit enter and of course it'll format that cell for us with brackets because of the formatting of the worksheet then we just need to know what this us account should be and why are people going to pay us 35,000 because we did work and earned revenue and we could call this depending on the type of company revenue we could call it incomes we could call it sales we could call it fees earned it just depends on the type of company but it is going to be a revenue type account and of course it'll be down here in the revenue area i mean it's under the capital section on the trial balance so i'm going to copy that right click copy that we're going to paste that on the bottom credits traditionally go on the bottom so we are in cell c6 right click and paste 123 so i'm going to post this now to basically three different places i'm going to post it here to the trial balance so we can see a quick easy beginning and end at trial balance then we'll post it to the subsidiary ledger at least the receivable side of it and then we will post the receivable side of it to the general ledger so let's do that now we're going to say the receivable is here so we're here's the receivable it's a second account so we are in i6 and say equals and then we're going to point to that 35 000 what's going to happen we'll go up here we'll go out of balance by the 35 000 so the 35 represents that customers over 35 and now we are out of balance by the 35 we will then post a revenue in i14 so i14 equals i'm going to point to that 35 000 credit what will happen the credit will go up in the credit direction because we're doing the same thing to it will be back in balance net income is going to go up from the transaction so we're recording revenue revenue is being recorded when we did the work not necessarily when we get the money because we haven't got any money yet so now we're going to record that same account receivable to the subsidiary ledger here so we need to record it by customer why because oftentimes when we look at the trial balance we're going to say who owes us money or how much do people owe us people owe us 35 000 the next question we're going to have is well when are we going to get that money and who owes it to us let's call those people and to do that we're going to need to know the subsidiary ledger by the account receivable by customer using the subsidiary ledger so here we have smith we're just going to record that same debit side to this account here in the subsidiary ledger i'm going to say equals and that's going to point to that 35 000 again now treat it also we're going to have this stuff in the general ledger so i'm not going to post the entire general ledger out but just to recognize that there is a difference we're talking about something different in the subsidiary ledger than what we have seen in the general ledger the general ledger would be posting transactions in order by date or the order of the transaction so we can post the same thing in the AR subsidiary on general ledger so we could say that this equals that same 35 000 and we see that the 35 000 in this section is going to be the same information that will be recorded here it's just that it'll be recorded slightly differently right here it's only recorded by date right here it's recorded by customer and of course the end of it we have the 35 here 35 is what adds up all the customers that ties out to the trial balance all right next transaction we're going to scroll over here and we're going to say that's received cash on account from client smith for work performed in the past so now smith paid us this 35 000 that would be the natural transaction that would happen hopefully sometime in the future we'd get a check in the mail therefore we're going to ask our questions is cash affected yeah we received money we got cash cash has a debit balance we need to make it go up how do we make something go up we do the same thing to it which in this case would be another debit so i'm going to copy the cash we're going to put that in cell c8 so i'm going to right click and put that in c8 and how much did we receive 35 000 because that's that that's what we build them for 35 000 and so we're going to credit the same amount so there's going to be equal number of debits and credits and then we're going to say well and uh why did they pay us 35 000 because we did work but we did work in the past so we're not going to credit the receivable account we already did the work in the past they owe us of course the 35 000 that we put right in the receivable now they paid us that they no longer owe us that therefore that 35 000 debit there needs to go down how do we make something go down we do the opposite thing to it as what it is that's a debit therefore we need to credit it to make it go down we already knew that because we debited cash so that's where the credit's going to go it's going to make the receivable back down to zero so i'm going to copy that i'm going to paste it in c9 right click and paste 123 values only in c9 recognize what is happening here we're just getting a better asset cash and we're losing the worser asset the accounts receivable i know that may not be a word but it sounds good so the receivable is going down cash is going up and uh no effect on revenue for this transaction so let's post it out and see what happens we're going to go up here to i5 i5 equals we're going to point to that 35 000 what's going to happen cash will go up by 35 000 because the debit and the debit makes the debit go up in the debit direction to 603 000 then accounts receivable there's something in it here i can see it in the formula bar well of course d5 is in there that's the d5 here in order to post to it i'm going to double click on it go to the end of it and say plus and then point to this uh 35 000 here and now we see there's two things in there there's the 35 debit the 35 credit one's a positive one's a negative one's a debit one's a credit that's going to make it go down to zero again so even though we have a zero there we can see what's in there and i like to use these icons to point to them and we can see okay that makes sense it went up and went down and if you want to know where those icons are they are in the formulas tab and they are in the formulas auditing and here they are here so then i can turn them off with this thing here all right so we're going to also post those out to the subsidiary ledger and so we're going to say no one owes us any money right now therefore we have to reflect that in the subsidiary ledger meaning smith doesn't owe us any money anymore so we're going to post that same activity in m 10 so this equals the 35 000 and that means smith no longer owes us so this would be the normal activity within a receivable account of course it goes up and then hopefully they pay us it goes down we invoice them we got a check in the mail that's what it should look like if we just look at that in the general ledger we'll post the same activity the general ledger again we're not going to post all the accounts of course to the general ledger we would be posting both the general ledger cash and receivable in real life we're doing the full problem but we're just looking at the receivable the accounts receivable gl account general ledger account and we are in the credit side so we're going to say this equals that same credit so same activity by date so we don't know who necessarily by this 35 by this general ledger account but we can see that it went up went went down we could probably make a safe bet that that's the same client and it may not be of course right next to each other in this activity we could have other sales involved but that's the type of activity we expect to see in the receivable account much of the time so now of course we have zero here the subsidiary ledger adds up to zero and that's what's on the trial balance as well next one perform work on account and invoice the client atoms all right so we're going to do work on account so is cash affected or we did work on account is cash affected and answered no because we did it we're on account and we issued an invoice when we issue an invoice this because we did work and therefore we earned revenue and we have received we believe we've received the intangible asset of an IOU called accounts receivable so accounts receivable is an asset has a debit balance just like cash it needs to go up because people owe us more money how do we make it go up we do the same thing to it which in this case would be another debit so we're going to copy the receivable and right click copy that i'm going to put that in c11 right click and paste it 123 the amount being for 14 000 in this case if we debit something


Hi Robert, this is Ashley with Oxmore Toyota. I wanted to send you over a quick video greeting that way you can see who you'll be working with. Thank you so much for your recent interest in a new 2016 Penn Drive. I wanted to send you over an email with links to our current inventory for you to look over at your convenience. When you get a moment, please give me a call. My number is<PHONE_NUMBER> or you can also email me back. Thanks. Bye.


WARNING! This video contains jump scares. Get it? Because that's what we're gonna be looking at. We're gonna be looking at the jump scares for the, you know, help wanted. Okay. I see how it is. So last night I was browsing through Reddit to see if there was anything interesting, looking at some funny memes, you know. And then I came across a someone's video when they were at PAX East a few days ago that showed the jump scares for both Chica and Faceless Barney, which I thought was just really, really interesting. So I thought, you know what, tomorrow I'm gonna make a video about this just so I can show you guys some more jump scares. Because we have seen a few, but we haven't seen Chica. Or as far as I know, we haven't seen Chica. And especially we definitely haven't seen Faceless Barney. So I'm gonna pull up the video. It's on Reddit. It's a link down below. You can go check it out. I guess I'll be doing an analysis of it. I don't think it has audio though, but if it does, cool. On to the video. So this video was made by a reviewer that actually plays some VR games and says their opinion about them. So I guess we're gonna hear their opinion about it as well. I don't know. I don't know how I feel about that. Hopefully they say good things. Because if they say bad things, then my hopes are gonna go a lot down. I haven't heard their review, by the way. Small puzzles. There's the jump scare. One of which consisted of sitting in a security office watching monitors for creepy animatronics lurking outside. God, I wish I could hear what the game's saying. Hey, there's a Bonnie Plush. The other one required that I tune one of the creature's guitars. One of the creatures. And then they'll build the eyeballs out and reach into its mouth to hit a button. Hey? One of these scenarios ended with me nearly throwing the controller. I'm really looking forward to more of this game when it comes out sometime this spring. Is that the button? Oh! Hey! To enter calibration mode. Okay, Google. Define calibration. Here's the definition of calibration. The action or process of calibrating an instrument or experimental readings. That doesn't help. You can't use the word in the definition.  Yeah, so apparently Bonnie has different modes for his guitar or something. Is that the end? He said... He says something's wrong. With a note? Oh, God. Oh, God. Oh, there's actual... There's actual notes. She's gonna do something wrong, isn't she? I have my faith in you. I think your name was like VR Girl or something. So maybe you had to put the faceplates on. Yeah, VR Game Girl. Whatever. I'll follow them on whatever social that is.  They did provide some pretty good explanation. No, not explanation. Details about the game. So, now let's go step by step looking at it. She said that there were puzzles within the game that are connected or similar to the ones in the original. And as she's currently playing the FNAF 1, I'm guessing those puzzles are just... Watch the cameras. Close the doors. Flick on the lights. Defend yourself. Because I don't think there's gonna be any puzzle puzzles in this minigame. They say it's incredibly creepy. So you can hear Chica moaning. So there's the Chica jumpscare. Let's get that in slow motion like what we did with Foxy in the other video. Damn. That looks awesome, by the way. Steel Wall. Guys, if you haven't already, go support Steel Wall. They're doing an absolutely unbelievably incredible job with this game. Everything about it. I have nothing to say but positive things. Yeah, so we've seen this pulling out Bonnie's eyes. So we're gonna be pulling out Bonnie's eyes and tuning his guitars. Or a guitar. Okay, so this is what I'm getting from the gameplay and her explanation.  And then you have to open up his faceplates by what looks like pressing two buttons on the side of his mask. Which if you guys remember... Wait, let me pull it up. And if you remember, Chica does have green buttons on the side of her mask. So maybe, just maybe, we could be getting a look inside her endoskeleton too. That's just my theory. My game theory! Yeah, so that's the animation of the mask going up. That's actually really good. I like how Bonnie like jolts back. As well as the player. But look at that! Let's just take a good gander at that endoskeleton. That is really, really well done. Hold on, let's hear what he has to say. We have to reach the secondary throat pile, I think he said, to activate calibration mode. I have no clue what that said. Okay Google, calibrate definition. Here's the definition of calibrate. Mark a gauge or instrument with a standard scale of readings. I don't know what that means. I don't speak music. I'm guessing it has something to do with tuning his guitar though. Yeah, so he said, uh oh, something is not right. One of those notes is out of tune. So I'm guessing we just have to retune it by reaching... What do we do again? I like how you have to reach into Bonnie's throat to play the notes. And next you have to guess which note is incorrect. Did they do it? Confirm? Hey, they did it. And then that's the end of the game. You just have to close it back up without dying. Yeah, so what they did was they put in the eyeballs first. I'm pretty sure the guy instructing us said it closed the faceplates. So they didn't do that. So we've got to reach back into the bucket, get the eyes. But again, that animation. Let's get a replay on that. Oh, excuse me. A slow-mo replay on that. Because all the jump scares in this game that we've seen so far, we've also seen a Toy Chica jump scare. I'll see if I can locate that for this video as well. But all the jump scares and all the animations, they look phenomenal. Steel Wool, you guys are doing an amazing job. The endoskeleton looks very similar to the one in FNAF 1, so I'm really glad that they kept... kept similarity. God, I'm so excited.  Yeah, so there's not Toy Bonnie, there's just regular Bonnie. And then they go back to the main menu, and they are going to do the Toy Chica minigame. Da-da-da-da. Or just the jump scare, I guess. Get a good gander at that. I don't know if there are eyelids or different colors, but I'm not sure. Okay, Google. What colors are Toy Chica's eyelids? On the website, freddy-fazbear-pizaria.fandom.com, if you give me an answer. Toy Chica takes the appearance of a stereotypical feminine character. She is a yellow chicken with an orange beak, blue eyes, purple eyelids, long eyelids, and orange feet. To read more, look for the link in your Google Home app. Google actually gave me a correct answer. Thank you for once. But yeah, apparently that is the eyelid. I just forgot the color. Yeah, so that was a look at some more features for help wanted. We're getting pretty close to release. It's only a few weeks away. It's coming at the end of April, April 30th. That's what some sources are saying. But still, well, Scott, neither of them had confirmed that release date. So it really could be coming at any point. But hopefully you guys enjoyed the jump scares in this video. And if you did, don't forget to smash like. And I will see you all on the flip side. Goodbye.


It's Diddy Canem, back today with another Do-Daz video. Huge shout out to everybody tuning in. If you wanna subscribe, make sure you smash that subscribe button. Give me a thumbs up and do not skip those ads. Today is May night, baby. It's time to get to this bag. In this video, you guys are gonna see us. We're gonna work from 7.15 to 11.15 and see how much green we get. Hey, if this go well and you guys comment below and let me know, we may do a lunch shift and we may do a dinner shift on another video. But, you guys, wanna make sure you stay tuned to the full video? If you wanna subscribe, make sure you smash that subscribe button. Give me a thumbs up and do not skip those ads. Also, if you wanna test to win some of the free merch, all you have to do is email me at romesouthofuseatgmail.com. Subscribe to the channel and earn your chance to win. It's time to get it in. Let's go. ! What order, 8.1 miles for 2136. We're about to get in the mix, let's go. Order number 2, what to do? 1, our 2 orders 7.2 miles for 1830. We're gonna show you we work it, let's go. That one real quick, that way I can put that way putting the numbers inside. How you doing this morning? Good. I did all of, if we do all of, I do Spark, DoorDash, Instacart, we got whatever to make that money. Yeah, they had that $3 peak peak yesterday for Mother's Day. Have you ever tried doing that, any of it, like DoorDash or anything? So I did it for the first time yesterday. Oh, you did it? You live in Kenosha? Yeah. I used to live up there. And it's not bad. The people tip. Up there? I don't know anymore, those are. Right, yeah. Hey, they have an app called Para, right? It's an app called Para, and the Para app is going to tell you how much the tip is really going to be. It tells you. It'll pop up right in your thing so you can see it. And we are here to drop off order number one. They got this, too. What is this? I don't know about this. Mop, mop, mop, mop. They got that mop, baby. They about to get busy. They about to clean some things. You know what I'm talking about? Drop it like this high. Bop, bop. Put it over there. I don't know if that worked. I'm not going to do that until I'm done. We don't know where I'm at. We got to drop this off. Then we got to drop off the next Walmart order. Then we got to drop off the Sims for work after that.  I don't know exactly the number yet because she had to hear it for a second.  Step back. You don't want to follow your own orders.  Order number two, what it do, forget change your crew. Here's the eggs.  Wababop. We going. Let's get it on, baby. I hope you guys are out there getting to this money. You want to come up? They be doing it. Drop it like this high over there. Just in case they want to come out here and get busy. Then Coca-Cola with the yola in the old Coca-Cola. Put the eggs right there, bam. They got that orange or they got that... They got that old D. The Juiceman right here. Chevy's same color chocolate can of orange juice. You don't know about that. Put the bread right there, bam. Oh, I almost fell. Put that one right there again. Right. Step back. Hit it with that photo. Smack! We gone. With the Sam Club order to get in order, I ain't going to be able to put it in the driveway because that joint is just too steep. So we're going to get the dolly, the dolly, ollie, ollie. And roll it. And roll, roll, roll your boat. And lay down the string. I had to put the stuff in the front seat and in the back seat because we had too much stuff in here, baby. We had to do, we had to do. Ain't going to put this right here. And I'm trying to get this paper towels. Are you ready for the rumble, baby? I'm going to put this right here first. See if I can get it. Down with the wrong way. I'm a goofball. And some stuff fell off. Hold on, hold on, hold on. Take this down. I don't want to put the dolly down because it's going to be too hard to put it back up. This right here. This right there, bam.  Doing too much. Let's go over just in case they want to come visit. Right there. Step back in with the ball. Smack. We're gone. Thank you so much for contacting delivery support. Hey, how are you doing, ma'am? I'm calling. I had a quick question for you. So previously, I was getting shopping delivery orders for Walmart, but then it just stopped out the blue. And I was wondering if I'll have to call you guys to get it back again, or what? Is there anything I can do about it? Right, let me just have you pulled up to see what's going on first. OK. Before I get anything. So could I have your name and the phone number since you did your account? All right, thank you so much for that information. Let me just have you pulled up here. I said I have incentives to do the shopping delivery orders. Two incentives to do it, but I'd never get them. So there's no way for me to do it. I'm just going to place you just in a brief while I look through the information here, OK? OK. If there was anything that was missed here for you or so, that was a shop and delivery. But I'm not really seeing anything much here. But as I mentioned to you, the system assigns drivers to orders automatically. So I'll just have to ask you if you could just deal with us while the number of orders for shopping and delivery increase and also for the system to assign one day to apologize to Adam. OK. All right, let's do it. Order three and four. We're trying to warm up these dough, but it's going kind of slow. Order number three is Instacart, Mariano's two orders, 16.6 miles, 28 items for 55, 24. You know we got that dough, you already know. Let's go. Order number four is Instacart, all these 2.6 miles, 37 items for 35.96. Hopefully we get in the mix. Let's go. Order number five, we back for the prize. All the way. Tim's got one order 10 miles for 34.79. We back on the grind to the end of time. Y'all going to see us shine. Let's go. I'm doing great. I can't complain. This ain't raining today. Is it here? Only if I clear it now? Yeah. Well, we kind of switched off. This all this is going to here? Yeah. So we pretty much do it together. We do all our apps together, like, you know, door to edge and spark and all that stuff. Got a right, isn't it? This one right here. Thank you very much. See you soon. We are here, baby. It says when we come here, if they see the dog, do not enter the gate.  He's coming here playing. You going to miss here? I'm going to go in the direction. Guess what? What if that dog pops up? I'm going to go in here. What? We here? They don't have that much stuff. They got to do some more stuff, but 34 dollars. I ain't complaining. But guess what? They box me up, too. So this one is going to make it even easier.  And they said make sure you last the gate when you leave so the dog won't get out. OK. Just pull it up like that. What is up? They said I can use that if I want to, but I'm all good. I'm going to come back and get busy. I hope you guys are with me. I'm moving kind of shift.   I'm not going to do it just in case they want to come out here and get busy. I got that. Yeah, I'm going to dolly this one. I'm going to dolly ski. I'm going to dolly ski. I got that Fiji water. That alkaline. That alkaline baby. And it's like right by the lake, too. It's nice. I don't even know. I always close the trunk with two balls. I have to come back and bring the dolly in. Hello. How you doing? That's great to hear. Yes, ma'am. That dog found this. This. What's that? This. Oh, I ripped this a little bit. I'm going to grab a bottle. Thank you. There you go. You're welcome. You're welcome. Take a little photo. You're already on a smack photo. So we can try to get all of us parked up again. Here you go. Do you have a great day? No, thank you. No, thank you. Or you have a good one. Order number six.  Oh, one by two orders nine miles for 17.75. Let's drive. All right. All right. All right. All right. All right. All right. All right. All right. Let's drive. Order number seven. Thank God for us. Bless us. We'll be getting money when he's threatening. Chick-fil-A, baby. 1.7 miles for 9.34. It's time to roll up this dough. Let's go. This is me. Oh, really? Thank you. You guys have a good one. Right there, we are here to talk about this Chick-fil-A, baby. This house is beautiful. I'm talking about this joint. It's amazing. They are here balling out of control. They're on the road. Jump like a child. Stay back in those photos. All right. Let's go. Order eight and nine. We back on the grind to the end of time. All the way sparked up. Walmart 2 orders 11 miles for 27.53. Get with me, baby. Order number nine is all the way sparked up. Walmart 2 orders 4.4 miles for 15.96. We're about to get back in the mix. Let's go. We're actually delivering to a business. This is the health team. They got all the food and all that in there. Let's see if they're ready to get busy. And we got to get a signature, too. Hello. I have a delivery for a roof. Okay. There's a nice bag there. Yeah, my business partner came up with his brand idea. Not me. I can't take the credit. I can't take the credit for that. Because we've had, you know, a couple of people got pissed up like this. This is very convenient. Yeah. Right here. And then I need a signature. Oh.  Thank you very much. Have a great day. Yeah. To the corner door. This is another door over here. All the other... This is nice. It's nice. It's nice. It's decent. Look, we're going to get something like this very soon, guy. Corner door. I got more. And that's the middle door. I don't see other door bills around this job. So let's try to go all the way over here and see what happens. It's number eight right here. So where's nine? Eight. I don't know. I think nine would be in the back. The other ones didn't have any numbers on it. So I don't know what's going on, baby. Trying to get busy. I'm trying to call them. Let me try to call them. Because we ain't got time to play no games. And you already know my name. And let me try to know about that. Hey, how you doing, sir? I'm here with your Walmart order. Okay, sir. Which door would you prefer me to leave it by? Not the... Or where it says number eight on the door? Not that one, right? Yeah. I can see. Okay, no problem, sir. Thank you. Bye-bye. Yeah, I'm just going to wait for him. Because after he specifically said, build the next 20s, don't just drop our order anywhere because it can be stolen. Call if you need help. So I'm going to wait for him so he can make sure he gets the order. He said I can drop it anywhere, but I don't want it.  I don't want no problem. Because this is over here. You guys can see that's one, two, three, four, five, six. One, two, three, four, five, six. And I'm seven, eight, nine. But the other one over there says eight on it. So where would nine be? All right, over here. Hello. Here you go. Thank you, darling. You're welcome. You have a great one. You too. And just like that, it is the end of the video. I hope you guys enjoyed the content. Guess what? Today we did... We had to see about the morning shift, baby. I do some videos of the noon shift, the lunch shift, and then the dinner shift. So you guys did a comment below. Let me know if you want me to do that, baby. Also, we got 2.36, 23. Get with me, baby. We started at 7.15. We ended at 11.15. We got that green, baby. We already getting busy. I hope you guys are with me. Also, if you want a chance to win some of the free merch, all you have to do is to email me at wrongtimesofusetsdmail.com. Subscribe to the channel and earn your chance to win. Tomorrow, we're getting back in again. So make sure you guys lock in. I'll see you guys on the next one. Be going, be going, be flowing. You already know this, DDK, and I'm on my way.


the greatest loves in the world is foster care love. I think it's a superpower I salute any of you that are literally foster parents. I think it's an amazing kind of love and I think it's rare.