Problem 7 (Diagonalization). Let Symm with real coefficients and let Skewn: == === {A Є Mnxn | At = A} be the set of all nxn symmetric matrices {A Є Mnxn | At = -A} be the set of all n×n skew-symmetric matrices with real coefficients. For this problem, feel free to use any properties of the matrix transpose you might find useful. (a) Prove that Symm and Skew are subspaces of Mnxn. (b) Prove that Mnxn = Symm„ ☺ Skewɲ. Hint: note that A = ½ (A+ A²) + ½ (A - At). (c) Define the function L: Mnxn → Mnxn by (i) Prove that L is a linear transformation. (ii) Prove that 0 and 2 are eigenvalues of L. (iii) Prove that L is diagonalizable. L(A) = A- At. :=

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section: Chapter Questions
Problem 14RQ
icon
Related questions
Question
Problem 7 (Diagonalization). Let Symm
with real coefficients and let Skewn:
==
===
{A Є Mnxn | At = A} be the set of all nxn symmetric matrices
{A Є Mnxn | At = -A} be the set of all n×n skew-symmetric matrices
with real coefficients. For this problem, feel free to use any properties of the matrix transpose you might find
useful.
(a) Prove that Symm and Skew are subspaces of Mnxn.
(b) Prove that Mnxn = Symm„ ☺ Skewɲ. Hint: note that A = ½ (A+ A²) + ½ (A - At).
(c) Define the function L: Mnxn → Mnxn by
(i) Prove that L is a linear transformation.
(ii) Prove that 0 and 2 are eigenvalues of L.
(iii) Prove that L is diagonalizable.
L(A) = A- At.
:=
Transcribed Image Text:Problem 7 (Diagonalization). Let Symm with real coefficients and let Skewn: == === {A Є Mnxn | At = A} be the set of all nxn symmetric matrices {A Є Mnxn | At = -A} be the set of all n×n skew-symmetric matrices with real coefficients. For this problem, feel free to use any properties of the matrix transpose you might find useful. (a) Prove that Symm and Skew are subspaces of Mnxn. (b) Prove that Mnxn = Symm„ ☺ Skewɲ. Hint: note that A = ½ (A+ A²) + ½ (A - At). (c) Define the function L: Mnxn → Mnxn by (i) Prove that L is a linear transformation. (ii) Prove that 0 and 2 are eigenvalues of L. (iii) Prove that L is diagonalizable. L(A) = A- At. :=
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Recommended textbooks for you
Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
Algebra
ISBN:
9781285463247
Author:
David Poole
Publisher:
Cengage Learning
College Algebra
College Algebra
Algebra
ISBN:
9781305115545
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning
Algebra and Trigonometry (MindTap Course List)
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:
9781305071742
Author:
James Stewart, Lothar Redlin, Saleem Watson
Publisher:
Cengage Learning
Algebra for College Students
Algebra for College Students
Algebra
ISBN:
9781285195780
Author:
Jerome E. Kaufmann, Karen L. Schwitters
Publisher:
Cengage Learning
College Algebra (MindTap Course List)
College Algebra (MindTap Course List)
Algebra
ISBN:
9781305652231
Author:
R. David Gustafson, Jeff Hughes
Publisher:
Cengage Learning
College Algebra
College Algebra
Algebra
ISBN:
9781938168383
Author:
Jay Abramson
Publisher:
OpenStax