Question

In: Math

show that a 2x2 complex matrix A is nilpotent if and only if Tr(A)=0 and Tr(A^2)=0....

show that a 2x2 complex matrix A is nilpotent if and only if Tr(A)=0 and Tr(A^2)=0. give an example of a complex 2x2 matrix which is not nilpotent but whose trace is 0

Solutions

Expert Solution

In general the trace of a matrix is the sum of the eigenvalues in the algebraic closure. Suppose λ is an eigenvalue of A and let v≠0 be such that
Av=λv
Suppose An=0 for some n. Then
Anv=λnv=0
Since v≠0, we have that λn=0, hence λ=0. Thus all eigenvalues of A are zero hence the trace is zero.

Let A be an n×n complex nilpotent matrix. Then we know that because all eigenvalues of A must be 0, it follows that tr(An)=0 for all positive integers n.

If the eigenvalues of A are λ1, …, λn, then the eigenvalues of A^k are λ1^k, …, λn^k. It follows that if all powers of A have zero trace, then

for all k≥1.
Using Newton's identities to express the elementary symmetric functions of the λi's in terms of their power sums, we see that all the coefficients of the characteristic polynomial of A (except that of greatest degree, of course) are zero. This means that A is nilpotent.


Related Solutions

Given that the square matrix, A is nilpotent (Ak = 0 for some positive integer k)....
Given that the square matrix, A is nilpotent (Ak = 0 for some positive integer k). If A is n by n, show that An = 0.
Let A be a 2×2 symmetric matrix. Show that if det A > 0 and trace(A)...
Let A be a 2×2 symmetric matrix. Show that if det A > 0 and trace(A) > 0 then A is positive definite. (trace of a matrix is sum of all diagonal entires.)
Find a matrix P that diagonalizes the matrix A = [ 2 0 ?2 / 0...
Find a matrix P that diagonalizes the matrix A = [ 2 0 ?2 / 0 3 0 / 0 0 3 ] and compute P ?1AP.
Given a matrix A = [?1 ? ? 0 ?2 ? 0 0 ?2], with ?1...
Given a matrix A = [?1 ? ? 0 ?2 ? 0 0 ?2], with ?1 ≠ ?2 and ?1, ?2 ≠ 0, A) Find necessary and sufficient conditions on a, b, and c such that A is diagonalizable. B) Find a matrix, C, such that C-1 A C = D, where D is diagonal. C) Demonstrate this with ?1 = 2, ?2 = 5, and a, b, and c chosen by you, satisfying your criteria from A).
Consider the matrix A given by [ 2 0 0 ] [ 0 2 3 ]...
Consider the matrix A given by [ 2 0 0 ] [ 0 2 3 ] [ 0 3 10 ] (20) Find all its eigenvalues and corresponding eigenvectors. Show your work. (+5) Write down the entire eigendecomposition (i.e. the matrices X, Lambda, and X inverse) explicitly.
(a) Find a 3×3 matrix A such that 0 is the only eigenvalue of A, and...
(a) Find a 3×3 matrix A such that 0 is the only eigenvalue of A, and the space of eigenvectors of 0 has dimension 1. (Hint: upper triangular matrices are your friend!) (b) Find the general solution to x' = Ax. PLEASE SHOW YOUR WORK CLEARLY.
In parts a-d evaluate the following determinants. show all steps. a. 2x2 matrix the first row...
In parts a-d evaluate the following determinants. show all steps. a. 2x2 matrix the first row being 1 and 2 the second row being -3 and 4. b. 3x3 matrix, the first row being 2,1, 5, the second row being 0, 3, 2, the third row being 0, 0, 4. c. 3x3 matrix, the first row being 3, -1, 4, the second row being 2, -2, 3, the third row being 1, -1, 2 d. 4x4 matrix, the first row...
Consider the matrix A = [2, -1, 1, 2; 0, 2, 1, 1; 0, 0, 2,...
Consider the matrix A = [2, -1, 1, 2; 0, 2, 1, 1; 0, 0, 2, 2; 0, 0, 0, 1]. Find P, so that P^(-1) A P is in Jordan normal form.
Obtain a spectral decomposition for the symmetric matrix A = [0 2 2, 2 0 2,...
Obtain a spectral decomposition for the symmetric matrix A = [0 2 2, 2 0 2, 2 2 0] (that means the first row is 022, then below that 202, etc.) , whose characteristic polynomial is −(λ + 2)^2 (λ − 4) If you could provide a step-by-step way to solve this I'd greatly appreciate it.
Consider the given matrix. 3    0    0 0    2    0 16   ...
Consider the given matrix. 3    0    0 0    2    0 16    0    1 Find the eigenvalues. (Enter your answers as a comma-separated list.) λ = 1,2,3 Find the eigenvectors. (Enter your answers in order of the corresponding eigenvalues, from smallest eigenvalue to largest.)
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT