Proving that T=T* for a Normal Linear Transformation

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Homework Help Overview

The discussion revolves around proving that a normal linear transformation \( T \) satisfies \( T = T^* \) given the condition \( T^2 = \frac{1}{2} (T + T^*) \). The subject area involves linear algebra, specifically properties of linear transformations and eigenvalues.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss starting points for the proof, including examining the matrix representation of \( T \) and its eigenvalues. There is an emphasis on showing that eigenvalues are real to conclude that \( T \) is Hermitian. Some participants question the approach of proving \( T \) is Hermitian through the characteristic polynomial.

Discussion Status

The discussion is ongoing, with participants exploring different approaches to demonstrate that the transformation is Hermitian. Some guidance has been offered regarding the properties of eigenvalues of Hermitian transformations, but no consensus has been reached on the most effective method to proceed.

Contextual Notes

One participant expresses frustration over the difficulty of the problem, indicating that they have spent considerable time attempting to solve it without success. There is a focus on the implications of the normality of the transformation and the conditions under which it can be shown to be Hermitian.

LeifEricson
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Homework Statement


let [tex]T:V \to V[/tex] be a linear transformation which satisfies [tex]T^2 = \frac{1}{2} (T + T^*)[/tex] and is normal. Prove that [tex]T=T^*[/tex].


Homework Equations





The Attempt at a Solution


I think we should start like this:
Let [tex]\mathbf{A}=[T]_B[/tex] be the matrix representation of T in the orthonormal base [tex]B[/tex]. We look at A as a matrix in the Complex plane. If we prove that for every Eigenvalue, [tex]\lambda[/tex], it happens that [tex]\lambda \in \mathbb{R}[/tex], then [tex]T = T^*[/tex] by a theorem and we finished.
Now, be [tex]\mathbf{x}[/tex] an Eigenvector that satisfies [tex]\mathbf{Ax} = \lambda \mathbf{x}[/tex], then [tex]<\mathbf{Ax},\mathbf{x}> = \lambda ||\mathbf{x}||^2[/tex] and [tex]\lambda = \frac{<\mathbf{Ax},\mathbf{x}>}{||\mathbf{x}||^2}[/tex]. If only I could show that [tex]<\mathbf{Ax},\mathbf{x}>[/tex] is a real number, I solved it.
 
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Prove that the transformation is hermitian, once you do it's pretty east to prove that eigenvalues of a hermitian transformation are real.
 
It doesn't help me, because I plan to show that the transformation is Hermitian by the following theorem:
"If T is a normal transformation whose Characteristic polynomial can be completely factored into linear factors over [tex]\mathbb{R}[/tex], then T is Hermitian".
And then it follows, of course, that T = T*
 
Can someone help me please? I work on it two days. Nothing works. Please. I spent hours.
 

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