47. The set of all skew-symmetric n x n matrices is a subspace W of Mnxn(F) (see Exercise 28 of Section 1.3). Find a basis for W. What is the dimension of W? 28. A matrix M is called skew-symmetric if Mt = -M. Clearly, a skew- symmetric matrix is square. Let F be a field. Prove that the set W1 of all skew-symmetric n x n matrices with entries from F is a subspace of Mnxn(F). Now assume that F is not of characteristic 2 (see Ap- pendix C), and let W2 be the subspace of Mnxn(F) consisting of all symmetric n x n matrices. Prove that Mnxn(F) = W1 e W2.
47. The set of all skew-symmetric n x n matrices is a subspace W of Mnxn(F) (see Exercise 28 of Section 1.3). Find a basis for W. What is the dimension of W? 28. A matrix M is called skew-symmetric if Mt = -M. Clearly, a skew- symmetric matrix is square. Let F be a field. Prove that the set W1 of all skew-symmetric n x n matrices with entries from F is a subspace of Mnxn(F). Now assume that F is not of characteristic 2 (see Ap- pendix C), and let W2 be the subspace of Mnxn(F) consisting of all symmetric n x n matrices. Prove that Mnxn(F) = W1 e W2.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.5: Subspaces, Basis, Dimension, And Rank
Problem 63EQ
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