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. :=

College Algebra (MindTap Course List)
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Chapter6: Linear Systems
Section6.3: Matrix Algebra
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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. :=
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