(a) Consider matrices A, U, and V , where A is an invertible n × n matrix, and U and V are n × k matrices with rank k < n. Prove the Sherman–Morrison–Woodbury formula, i.e., that T = I − (V^T) (A^−1)U is nonsingular if and only ifA – UV^T is nonsingular, in which case (A – UV^T)^−1 = (A^−1)−( A^−1)(UT^−1)(V^T)A^−1. (b) Suppose you have a fast algorithm for solving Ax = b (for example, using an LU factorisation of A). Show how to build a fast algorithm for solving Bx = c, where B = A – UV^T.
(a) Consider matrices A, U, and V , where A is an invertible n × n matrix, and U and V are n × k matrices with rank k < n. Prove the Sherman–Morrison–Woodbury formula, i.e., that T = I − (V^T) (A^−1)U is nonsingular if and only ifA – UV^T is nonsingular, in which case (A – UV^T)^−1 = (A^−1)−( A^−1)(UT^−1)(V^T)A^−1. (b) Suppose you have a fast algorithm for solving Ax = b (for example, using an LU factorisation of A). Show how to build a fast algorithm for solving Bx = c, where B = A – UV^T.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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(a) Consider matrices A, U, and V , where A is an invertible n × n matrix, and U and V are n × k matrices with rank k < n. Prove the Sherman–Morrison–Woodbury formula, i.e., that T = I − (V^T) (A^−1)U is nonsingular if and only ifA – UV^T is nonsingular, in which case (A – UV^T)^−1 = (A^−1)−( A^−1)(UT^−1)(V^T)A^−1.
(b) Suppose you have a fast algorithm for solving Ax = b (for example, using an LU factorisation of A). Show how to build a fast algorithm for solving Bx = c, where B = A – UV^T.
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