defined by Let n ≥2. Consider the reversing operator R:R" R(a1, a2,,an-1, an) = (an, an-1,..., a2, a1). → Rn We denote by E₁ and E-1 the eigenspaces of eigenvalues λ = 1 and λ = −1, respec- tively. (1) If n is even, find a basis of E₁ and a basis of E-1, and determine whether or not R is diagonalizable. (2) If n is odd, find a basis of E₁ and a basis of E-1, and determine whether or not R is diagonalizable.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.1: Inner Product Spaces
Problem 11AEXP
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defined by
Let n ≥2. Consider the reversing operator R:R"
R(a1, a2,,an-1, an) = (an, an-1,..., a2, a1).
→ Rn
We denote by E₁ and E-1 the eigenspaces of eigenvalues λ = 1 and λ = −1, respec-
tively.
(1)
If n is even, find a basis of E₁ and a basis of E-1, and determine
whether or not R is diagonalizable.
(2)
If n is odd, find a basis of E₁ and a basis of E-1, and determine
whether or not R is diagonalizable.
Transcribed Image Text:defined by Let n ≥2. Consider the reversing operator R:R" R(a1, a2,,an-1, an) = (an, an-1,..., a2, a1). → Rn We denote by E₁ and E-1 the eigenspaces of eigenvalues λ = 1 and λ = −1, respec- tively. (1) If n is even, find a basis of E₁ and a basis of E-1, and determine whether or not R is diagonalizable. (2) If n is odd, find a basis of E₁ and a basis of E-1, and determine whether or not R is diagonalizable.
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