 This provides an easy proof that the geometric multiplicity is always less than or equal to the algebraic multiplicity.This usage should not be confused with the "generalized eigenvalue problem" described below.A conjugate eigenvector or coneigenvector is a vector sent after transformation to a scalar multiple of its conjugate, where the scalar is called the conjugate eigenvalue or coneigenvalue of the linear transformation.