(c) If A, B arenxn positive definite symmetric matrices, then for any scalars a, b > 0, aA+bB is also positive definite.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter6: Vector Spaces
Section6.6: The Matrix Of A Linear Transformation
Problem 17EQ
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answer c and d

Prove (by giving a proof) or disprove (by giving a counterexample)
each of the following statements. (Note : You will not get any credit if you
answer only True or False.)
(a) Let V and W be finite dimensional vector spaces, and T: V
W be a
linear transformation. If T is one-to-one then dim V < dim W.
(b) For all linear operators T :V → V, imT is a T-invariant subspace of V.
(c) If A, B arenxn positive definite symmetric matrices, then for any scalars
a, b > 0, aA + bB is also positive definite.
(d) If S,T are symmetric linear operators on an inner product space V, then
their composition ST is also symmetric.
Transcribed Image Text:Prove (by giving a proof) or disprove (by giving a counterexample) each of the following statements. (Note : You will not get any credit if you answer only True or False.) (a) Let V and W be finite dimensional vector spaces, and T: V W be a linear transformation. If T is one-to-one then dim V < dim W. (b) For all linear operators T :V → V, imT is a T-invariant subspace of V. (c) If A, B arenxn positive definite symmetric matrices, then for any scalars a, b > 0, aA + bB is also positive definite. (d) If S,T are symmetric linear operators on an inner product space V, then their composition ST is also symmetric.
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