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Material Type: Assignment; Professor: Binegar; Class: LINEAR ALGEBRA; Subject: Mathematics ; University: Oklahoma State University - Stillwater; Term: Unknown 1989;
Typology: Assignments
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Problems from §5.1 (pgs. 300-301 of text): 2,4,6,8,10,12,17,19, Problems from §5.2 (pgs. 315-317 of text): 1,2,3,4,5,9,10, Problems from §7.1 (pgs. 394-395 of text): 7,8,9,
(a) A =
(b) A =
(c) A =
(d) A =
(e) A =
(f) A =
(a) T ([x, y]) = [2x − 3 y, − 3 x + 2y]
(b) T ([x 1 , x 2 , x 3 ]) = [x 1 + x 3 , x 2 , x 1 + x 3 ]
(a) Every square matrix has real eigenvalues.
(b) Every n × n matrix has n distinct (possible complex) eigenvalues.
(c) Every n × n matrix has n not necessarily distinct and possibly complex eigenvalues.
(d) There can be only one eigenvalue associated with an eigenvector of a linear transformation.
(e) There can be only one eigenvector associated with an eigenvalue of a linear transformation.
(f) If v is an eigenvector of a matrix A, then v is an eigenvector of A + cI for all scalars c.
(g) If λ is an eigenvalue of a matrix A, then λ is an eigenvalue of A + cI for all scalars c. 1
2
(h) If v is an eigenvector of an invertible matrix A, then cv is an eigenvector of A−^1 for all non-zero scalars c.
(i) Every vector in a vector space V is an eigenvector of the identity transformation of V into V.
(j) Ever nonzero vector in a vector space V is an eigenvector of the identity transformation of V into V.
(a) A =
(b) A =
(c) A =
(d) A =
(e) A =
(a) A =
(b) A =
(a) Every n × n matrix is diagonalizable.
(b) If an n × n matrix has n distinct real eigenvalues, then it is diagonalizable.
(c) Every n × n real symmetric matrix is real diagonalizable.
(d) An n × n matrix is diagonalizable if and only if it has n real eigenvalues.
(e) An n × n matrix is diagonalizable if and only if the algebraic multiplicity of each of its eigenvalues equals the geometric multiplicity.
(f) Every invertible matrix is diagonalizable.
(g) Every triagular matrix is diagonalizable.