4. Let V be a vector space over C and let L: V → V be a linear transformation. State the de (b) Let λ = C be arbitrary. State the definition of V₁, the X-eigenspace of L, and prove that it is a subspace of V. (c) Find the characteristic polynomial PA (t) of the matrix A given below, and then the eigen- values of A. -1 -1 2 A = 0 2 0 2 1 -1 (d) Choose one of the eigenvalues of A you found in (c), and find an eigenvector of A corre- sponding to this eigenvalue.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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4. Let V be a vector space over C and let L: V → V be a linear transformation.
State the dem
(b) Let λ = C be arbitrary. State the definition of Vx, the X-eigenspace of L, and prove that it
is a subspace of V.
(c) Find the characteristic polynomial P₁(t) of the matrix A given below, and then the eigen-
values of A.
−1 -1 2
A =
0
2
0
2 1
-1
(d) Choose one of the eigenvalues of A you found in (c), and find an eigenvector of A corre-
sponding to this eigenvalue.
Transcribed Image Text:4. Let V be a vector space over C and let L: V → V be a linear transformation. State the dem (b) Let λ = C be arbitrary. State the definition of Vx, the X-eigenspace of L, and prove that it is a subspace of V. (c) Find the characteristic polynomial P₁(t) of the matrix A given below, and then the eigen- values of A. −1 -1 2 A = 0 2 0 2 1 -1 (d) Choose one of the eigenvalues of A you found in (c), and find an eigenvector of A corre- sponding to this eigenvalue.
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