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[3] 7. Let A be a square matrix such that A# I and A+ -I with eigenvalue X. Prove that if AP = I(I is the identity matrix), then = 1 or = -1.
Let A be a square matrix such that A is not equal to I (Identity),A is not equal to -I with eigenvalue lambda.Prove that if A^2=I(I is the identity matrix),then lambda=1,lambda=-1
Let A be an ( n x n ) matrix, and let Lambda be an eigenvalue of A. Prove that for any scalar Alpha, Lambda + Alpha is an eigenvalue of A + Alpha x I (identity matrix).
ui l uentical . i Let A be a square matrix of order n and λ be an eigenvalue of A with geometric multiplicity k, where 1kn. Choose a basis B -(V1, v2,. .. , Vk) of &A) and extend this to a basis B of R". (1) Show that the matrix of the linear transformation x Ax on R" induced by the matrix A with respect the basis B on both the domain and codomain is: ui l uentical...
Let A be a square matrix. Prove that if A2 = A, then I - 2A is the inverse of I - 2A.
7. Matrix A is said to be involutory if AP = 1. Prove that a square matrix A is both orthogonal and involutory if and only if A is symmetric.
4. (a) (6 marks) Let A be a square matrix with eigenvector v, and corresponding eigenvalue 1. Let c be a scalar. Show that A-ch has eigenvector v, and corresponding eigenvalue X-c. (b) (8 marks) Let A = (33) i. Find the eigenvalues of A. ii. For one of the eigenvalues you have found, calculate the corresponding eigenvector. iii. Make use of part (a) to determine an eigenvalue and a corresponding eigenvector 2 2 of 5 - 1
Problem 3. Give the definitions of an invertible square matrix and of the inverse of Let A be a square matrix. List at least five conditions that are equivalent to A being Prove that the inverse of a square matrix is unique if it exists. a square matrix. invertible. Problem 3. Give the definitions of an invertible square matrix and of the inverse of Let A be a square matrix. List at least five conditions that are equivalent to A...
(a) Let A be a Hermitian matrix. DEFINE: A is positive definite. (b) Let A be an n × n Hermitian matrix. PROVE: If A is positive definite the n every eigenvalue of A is positiv e. (c) Let Abe an n X n Hermitian matrix. PROVE: If every eigenvalue of A is positive. Then A is positive definite. (a) Let A be a Hermitian matrix. DEFINE: A is positive definite. (b) Let A be an n × n Hermitian...
A scalar matrix is simply a matrix of the form XI, where I is the nxn identity matrix. (a) Prove that if A is similar 1 to \I, then in fact A= \I. (b) Show that a diagonalizable matrix having only one eigenvalue is a scalar matrix. 1 100 100 (c) Prove that o 100 is not diagonalizable. 0 0 1 1