Linear algebra: trace and dual space exercise

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Homework Help Overview

The problem involves proving that the trace of the product of a matrix and its conjugate transpose is zero if and only if the product itself is the zero matrix. The context is linear algebra, specifically dealing with properties of matrices and their traces.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to understand the implications of the trace being zero and questions the meaning of the conjugate transpose. They express uncertainty about proving the reverse implication.
  • Some participants suggest starting with a specific case of a 2x2 matrix to explore the properties of the trace and the implications of its value being zero.
  • There is a discussion about the calculation of the trace and the interpretation of the terms involved in the matrix product.

Discussion Status

Participants are exploring different approaches to the problem, including specific examples and generalizations. Some guidance has been offered regarding the implications of the trace being zero, but there is no explicit consensus on the overall proof yet.

Contextual Notes

The discussion includes clarifications about the definitions and properties of the matrices involved, particularly the conjugate transpose, and the implications of the trace being zero. There is an emphasis on the need for careful reasoning regarding the terms in the matrix product.

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Homework Statement .

Let ##A \in \mathbb C^{m\times n}##. Prove that tr##(A^*A)=0## if and only if ##A^*A=0## (here ##0## obviously means the zero matrix).


The attempt at a solution.

By definition of the trace of a matrix, the implication ← is obvious. I am having problems proving the other implication: first of all, I have doubts about the meaning of ##A^*##, if ##f:\mathbb C^n \to \mathbb C^m## is a linear transformation and ##A## is the associated matrix to ##f##, then ##f^t:{(\mathbb C^m)}^* \to {(\mathbb C^n)}^*## defined as ##f^t(\phi)=\phi \circ f## for all ##\phi \in {(\mathbb C^m)}^*##, so, I suppose ##A^*## just means the matrix which represents ##f^t##, am I right?

I have no idea how to prove ##tr(A^*A)=0 \implies A^*A=0##. I would appreciate any suggestions.
 
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Try it first with a ##2\times 2## matrix. What are the diagonal elements of ##A^{*}A## if ##A=\left(\begin{smallmatrix}a&b\\c&d\end{smallmatrix}\right)##? Why does ##Tr(A^{*}A)=0## imply that ##a,b,c## and ##d## are all zero? (I'm supposing that the ##"*"## means hermitian conjugate). Then try to extend the solution to more general matrices.
 
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hilbert2 said:
Try it first with a ##2\times 2## matrix. What are the diagonal elements of ##A^{*}A## if ##A=\left(\begin{smallmatrix}a&b\\c&d\end{smallmatrix}\right)##? Why does ##Tr(A^{*}A)=0## imply that ##a,b,c## and ##d## are all zero? (I'm supposing that the ##"*"## means hermitian conjugate). Then try to extend the solution to more general matrices.

Thanks for clearing up what it means ##A^*##. I want to check if this is correct:

By definition, the entry of the product matrix ##(A^*A)_{ij}=\sum_{k=1}^m (a^*)_{ik}a_{kj}##, but ##(a^*)_{ik}=\overline a_{ki}##, so ##\sum_{k=1}^m (a^*)_{ik}a_{kj}= \sum_{k=1}^m \overline a_{ki} a_{kj}##.

Now, ##tr(A^*A)=\sum_{p=1}^n (A^*A)_{pp}=\sum_{p=1}^n \sum_{k=1}^m (a^*)_{pk}a_{kp}=\sum_{p=1}^n \sum_{k=1}^m \overline a_{kp} a_{kp}=\sum_{p=1}^n \sum_{k=1}^m |a_{kp}|^2##.

Since ##tr(A^*A)=0 \implies \sum_{p=1}^n \sum_{k=1}^m |a_{kp}|^2=0 \implies a_{kp}=0 \space \forall 1\leq k \leq m, 1\leq p \leq n##. From here it follows ##A=0 \implies A^*A=0##.
 
That looks correct. The idea is simply that if a sum of real non-negative numbers is zero, then every term in the sum must be zero.
 
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