12. Let A be a square matrix of order n such that A² = I. Show that (i) the only eigenvalues of A are ±1; (ii) nullity(I + A) + nullity(I – A) = n; (iii) A is diagonalizable.

Linear Algebra: A Modern Introduction
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Chapter4: Eigenvalues And Eigenvectors
Section4.5: Iterative Methods For Computing Eigenvalues
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10. A sequence {an} is defined by ag = a1 = a2
1 and
an = 7a,-2 + 6a,-3 n> 3.
Find a general formula for a, (in terms of n).
(You may use MATLAB to find eigenvalues and eigenvectors.)
11. Let {u1, U2, ., Un} be an orthogonal basis for R" and
A = u;u + uzu, + …… unu,
where the vectors are written as columns vectors.
(i) Show that A is a symmetric matrix.
(ii) Show that each of u1, u2, ..., un is an eigenvector of A and find the corre-
sponding eigenvalues.
(iii) Find an orthogonal matrix P and diagonal matrix D such that
p™ AP = D.
12. Let A be a square matrix of order n such that A² = I. Show that
(i) the only eigenvalues of A are +1;
(ii) nullity(I + A) + nullity(I – A) = n;
(iii) A is diagonalizable.
Transcribed Image Text:10. A sequence {an} is defined by ag = a1 = a2 1 and an = 7a,-2 + 6a,-3 n> 3. Find a general formula for a, (in terms of n). (You may use MATLAB to find eigenvalues and eigenvectors.) 11. Let {u1, U2, ., Un} be an orthogonal basis for R" and A = u;u + uzu, + …… unu, where the vectors are written as columns vectors. (i) Show that A is a symmetric matrix. (ii) Show that each of u1, u2, ..., un is an eigenvector of A and find the corre- sponding eigenvalues. (iii) Find an orthogonal matrix P and diagonal matrix D such that p™ AP = D. 12. Let A be a square matrix of order n such that A² = I. Show that (i) the only eigenvalues of A are +1; (ii) nullity(I + A) + nullity(I – A) = n; (iii) A is diagonalizable.
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