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Many proofs that the geometric multiplicity of an eigenvalue cannot exceed the algebraic multiplicity of an eigenvalue use the following idea:

Let the geometric multiplicity of the eigenvalue $\lambda$ of $A$ be $k$. Then we have $k$ linearly independent vectors $v_1,...,v_k$ such that $Av_i = \lambda v_i$. If we change our basis so that the first $k$ elements of the basis are $v_1,...,v_k$, then with respect to this basis we have $$ \begin{bmatrix} \lambda I_k & * \\ 0 & B \\ \end{bmatrix} $$

(this came directly from this proof)

Could someone explain why this is the case?

  • The columns of a transformation matrix are the images of the basis vectors. – amd Mar 12 '19 at 19:19
  • @amd Thanks for the response! Could you elaborate a bit? I'm a little confused about the change of basis portion and how to think about this in terms of block matrices. – Curiosity Mar 12 '19 at 23:36

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