Chapter 13: Problem 56
Prove that if \(T\) is normal on \(V\), then \(\|T(v)\|=\left\|T^{*}(v)\right\|\) for every \(v \in V\). Prove that the converse holds in complex inner product spaces.
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 13: Problem 56
Prove that if \(T\) is normal on \(V\), then \(\|T(v)\|=\left\|T^{*}(v)\right\|\) for every \(v \in V\). Prove that the converse holds in complex inner product spaces.
All the tools & learning materials you need for study success - in one app.
Get started for free
For any operator \(T,\) show that \(T+T^{* *}\) is self-adjoint and \(T-T^{*}\) is skew-adjoint
Recall that the complex matrices \(A\) and \(B\) are unitarily equivalent if there exists a unitary matrix \(P\) such that \(B=P^{*} A P .\) Show that this relation is an equivalence relation.
Find the adjoint of: (a) \(A=\left[\begin{array}{ll}5-2 i & 3+7 i \\ 4-6 i & 8+3 i\end{array}\right]\) (b) \(\quad B=\left[\begin{array}{rr}3 & 5 i \\ i & -2 i\end{array}\right]\) (c) \(C=\left[\begin{array}{ll}1 & 1 \\ 2 & 3\end{array}\right]\)
Prove Theorem 13.1: Let \(T\) be a linear operator on an \(n\) -dimensional inner product space \(V\). Then (a) There exists a unique linear operator \(T^{*}\) on \(V\) such that $$\langle T(u), v\rangle=\left\langle u, T^{*}(v)\right\rangle \quad \text { for all } u, v \in V$$ (b) Let \(A\) be the matrix that represents \(T\) relative to an orthonormal basis \(S=\left\\{u_{i}\right\\} .\) Then the conjugate transpose \(A^{*}\) of \(A\) represents \(T^{*}\) in the basis \(S\)
Prove Theorem 13.9: The change-of-basis matrix from an orthonormal basis \(\left\\{u_{1}, \ldots, u_{n}\right\\}\) into another orthonormal basis is unitary (orthogonal). Conversely, if \(P=\left[a_{i j}\right]\) is a unitary (orthogonal) matrix, then the vectors \(u_{i^{\prime}}=\sum_{j} a_{j i} u_{j}\) form an orthonormal basis.
What do you think about this solution?
We value your feedback to improve our textbook solutions.