Let A 2 V2 are eigenvectors 3. Let A be a 4 x 4 m the eigenspace for determine if A is WEB 5.3 EXERCISES In Exercises 1 and 2, let A = PDP- and compute A". -[3.D-1 5 1. Р %3 7 2 0 2 0 2. P = 2 -3 0 Р : D = 5 11 -3 1/2 In Exercises 3 and 4, use the factorization A = PDP to pute A, where k represents an arbitrary positive integer. [Sa-b -[ ] 1 а 3. 3(а - b) Ь 1 0 3 ]-6 -1 4 2 4 12 -2 4. 1-3 1 0 1 5 -1 In Exercises 5 and 6, the matrix A is factored in the form Use the Diagonalization Theorem to find the eigenvalues
Let A 2 V2 are eigenvectors 3. Let A be a 4 x 4 m the eigenspace for determine if A is WEB 5.3 EXERCISES In Exercises 1 and 2, let A = PDP- and compute A". -[3.D-1 5 1. Р %3 7 2 0 2 0 2. P = 2 -3 0 Р : D = 5 11 -3 1/2 In Exercises 3 and 4, use the factorization A = PDP to pute A, where k represents an arbitrary positive integer. [Sa-b -[ ] 1 а 3. 3(а - b) Ь 1 0 3 ]-6 -1 4 2 4 12 -2 4. 1-3 1 0 1 5 -1 In Exercises 5 and 6, the matrix A is factored in the form Use the Diagonalization Theorem to find the eigenvalues
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
Problem 8BEXP
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I am stuck on problem 2. I tried doing P inverse, but I would get [5 3;3 2] as my matrix,but it wasn't correct. I woulf really appreciate the help with this problem.
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