Let A, B be n x n matrices over C. A scalar product can be Problem defined as (A,B) := tr(AB*). The scalar product implies a norm ||A||² = (A, A) = tr(AA*). This norm is called the Hilbert-Schmidt norm. (i) Consider the two Dirac matrices 10 0 0 0 0 0 1 0 0 10 7o := 0 1 0 0 00-1 0 71 := 0 -1 0 0 000 -1 000, Calculate (70, 71). (ii) Let U be a unitary n x n matrix. Find (UA, UB). (iii) Let C, D be m x m matrices over C. Find (A C, B & D). (iv) Let U be a unitary matrix. Calculate (U,U). Then find the norm implied by the scalar product. (v) Calculate ||U|| := max||v||=1 ||Uv||.
Let A, B be n x n matrices over C. A scalar product can be Problem defined as (A,B) := tr(AB*). The scalar product implies a norm ||A||² = (A, A) = tr(AA*). This norm is called the Hilbert-Schmidt norm. (i) Consider the two Dirac matrices 10 0 0 0 0 0 1 0 0 10 7o := 0 1 0 0 00-1 0 71 := 0 -1 0 0 000 -1 000, Calculate (70, 71). (ii) Let U be a unitary n x n matrix. Find (UA, UB). (iii) Let C, D be m x m matrices over C. Find (A C, B & D). (iv) Let U be a unitary matrix. Calculate (U,U). Then find the norm implied by the scalar product. (v) Calculate ||U|| := max||v||=1 ||Uv||.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.5: Subspaces, Basis, Dimension, And Rank
Problem 63EQ
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