Use Python (NumPy or SciPy) to help solve the following problems. [2 2 3 4] 2 2 3 2 3 4 2. Let M = 3 1 1 2 1 a. Problem #7 in Assignment 5.2 describes the spectral (or eigenvalue) decomposition of a symmetric matrix. Calculate the spectral decomposition of M. b. Calculate the QR factorization of M. c. Calculate the SVD decomposition of M.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.3: Eigenvalues And Eigenvectors Of N X N Matrices
Problem 29EQ
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Use Python (NumPy or SciPy) to help solve the following problems.
[2
2. Let M =
2
2 3 3
4
2
1
4 2 1 1.
2
3
2 3
3 1
N W
a.
Problem #7 in Assignment 5.2 describes the spectral (or eigenvalue)
decomposition of a symmetric matrix. Calculate the spectral decomposition of M.
b. Calculate the QR factorization of M.
c. Calculate the SVD decomposition of M.
Transcribed Image Text:Use Python (NumPy or SciPy) to help solve the following problems. [2 2. Let M = 2 2 3 3 4 2 1 4 2 1 1. 2 3 2 3 3 1 N W a. Problem #7 in Assignment 5.2 describes the spectral (or eigenvalue) decomposition of a symmetric matrix. Calculate the spectral decomposition of M. b. Calculate the QR factorization of M. c. Calculate the SVD decomposition of M.
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