Mark each statement as true or false. Justify your answers. An orthogonally diagonalizable real n x n matrix must be symmetric. b. If AT = A is a real matrix and u and v are vectors that satisfy Au = 3u and a. Av = -4v, ,then u v= 0. c. For a nonzero vector v E R", the matrix vv" is called a projection matrix. d. Every real symmetric matrix is orthogonally diagonalizable. e. If B, P,D are real n x n matrices, D is diagonal, P is invertible and PT = P1, and B = PDP, then B is a symmetric matrix. An orthogonal matrix is orthogonally diagonalizable. g. The geometric multiplicity of an eigenspace of a real symmetric n x n matrix is the f. same as the algebraic multiplicity of the corresponding eigenvalue.

Algebra and Trigonometry (6th Edition)
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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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11. Mark each statement as true or false. Justify your answersS.
An orthogonally diagonalizable real n x n matrix must be
b. If AT = A is a real matrix and u and v are vectors that satisfy Au = 3u and
symmetric.
a.
Av = -4v, ,then u· v = 0.
c. For a nonzero vector v ER", the matrix vv" is called a projection matrix.
d. Every real symmetric matrix is orthogonally diagonalizable.
e. If B, P, D are real n x n matrices, D is diagonal, P is invertible and P" = P1, and
B = P-DP, then B is a symmetric matrix.
f. An orthogonal matrix is orthogonally diagonalizable.
g. The geometric multiplicity of an eigenspace of a real symmetric nx n matrix is the
same as the algebraic multiplicity of the corresponding eigenvalue.
Transcribed Image Text:11. Mark each statement as true or false. Justify your answersS. An orthogonally diagonalizable real n x n matrix must be b. If AT = A is a real matrix and u and v are vectors that satisfy Au = 3u and symmetric. a. Av = -4v, ,then u· v = 0. c. For a nonzero vector v ER", the matrix vv" is called a projection matrix. d. Every real symmetric matrix is orthogonally diagonalizable. e. If B, P, D are real n x n matrices, D is diagonal, P is invertible and P" = P1, and B = P-DP, then B is a symmetric matrix. f. An orthogonal matrix is orthogonally diagonalizable. g. The geometric multiplicity of an eigenspace of a real symmetric nx n matrix is the same as the algebraic multiplicity of the corresponding eigenvalue.
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