Suppose I get the eigenvalues of A, which are

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The discussion centers on the relationship between the eigenvalues of a matrix A and the eigenvalues of a polynomial function f(A). It is established that if λ is an eigenvalue of A, then f(λ) is an eigenvalue of f(A) when f(x) is expressed as a polynomial. The proof involves applying the polynomial to the eigenvector associated with λ, demonstrating that f(A)(v) results in f(λ)v, confirming that f(λ) is indeed an eigenvalue of f(A).

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Suppose I get the eigenvalues of A, which are [tex]\lambda_{1},\lambda_{2},\dots \lambda_{n}[/tex]. Also, given any polynomial f(x), I get the eigenvalues of f(A). I'm trying to show that the eigenvalues of f(A) are [tex]f(\lambda_{1}),f(\lambda_{2}),\dots f(\lambda_{n})[/tex]. Is this possible? How would I go about showing this?
 
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if f(x) = anx^n +...+a1x + a0, and A has an eigenvector v with eigenvalue λ,

then f(A)(v) = (anA^n +...+a1A + a0I)(v)

= an(A^n(v)) +...+ a1(A(v)) + a0(v) =

= an((λ^n)v) +...+ a1(λv) + a0(v)

= (anλ^n +...+a1λ + a0)(v) = f(λ)v, so f(λ) is an eigenvalue of f(A).
 
hi sessomw5098! :smile:

(have a lambda: λ :wink:)

hint: if Ax = λx, what is Anx ? :wink:
 

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