We say (for n > 2) that an n x n matrix A is grumpy if it has n distinct negative" eigenvalues. "i.e. if A is an eigenvalue of A, then A < 0. Here is an example and a couple quick consequences of the definition: -1 The matrix -2 is grumpy, as it has eigenvalues -1 and -3. -3 All grumpy matrices are diagonalizable (since they have n distinct eigenvalues.) Similarly, all grumpy matrices are also invertible (since they cannot have 0 as an eigenvalue.) Prove that if A is a 2 x 2 grumpy matrix,' then det(A) is equal to the area of the fundamental parallelogram of TA (i.e. the image of the unit square under the linear transformation TA). Thm Def
We say (for n > 2) that an n x n matrix A is grumpy if it has n distinct negative" eigenvalues. "i.e. if A is an eigenvalue of A, then A < 0. Here is an example and a couple quick consequences of the definition: -1 The matrix -2 is grumpy, as it has eigenvalues -1 and -3. -3 All grumpy matrices are diagonalizable (since they have n distinct eigenvalues.) Similarly, all grumpy matrices are also invertible (since they cannot have 0 as an eigenvalue.) Prove that if A is a 2 x 2 grumpy matrix,' then det(A) is equal to the area of the fundamental parallelogram of TA (i.e. the image of the unit square under the linear transformation TA). Thm Def
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section: Chapter Questions
Problem 1RQ
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