5. Left and Right Inverses: We have only talked about inverses of square matrices. This problem will explore the notion of a left and right inverse for a matrix that is not square. Let −1 (3) 0 A - a. Compute AAT, (AAT)−¹ and AT (AAT)-¹. You may use inv() function and matrix multplication in MATLAB or the Python equivalents (such as numpy.linalg.inv()). b. Show that the matrix B = AT (AAT)-¹ is a right inverse for A, i.e., verify that AB= I. Is BA = I? Let A be a m × n matrix with m > n, and suppose that the n x n matrix AT A C.
5. Left and Right Inverses: We have only talked about inverses of square matrices. This problem will explore the notion of a left and right inverse for a matrix that is not square. Let −1 (3) 0 A - a. Compute AAT, (AAT)−¹ and AT (AAT)-¹. You may use inv() function and matrix multplication in MATLAB or the Python equivalents (such as numpy.linalg.inv()). b. Show that the matrix B = AT (AAT)-¹ is a right inverse for A, i.e., verify that AB= I. Is BA = I? Let A be a m × n matrix with m > n, and suppose that the n x n matrix AT A C.
Algebra for College Students
10th Edition
ISBN:9781285195780
Author:Jerome E. Kaufmann, Karen L. Schwitters
Publisher:Jerome E. Kaufmann, Karen L. Schwitters
Chapter12: Algebra Of Matrices
Section12.3: M X N Matrices
Problem 49PS
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