Self-adjoint operator (Bens question at Yahoo Answers)

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Discussion Overview

The discussion revolves around determining whether a given linear map represented by a matrix is self-adjoint when the basis is not orthonormal. Participants explore the implications of the inner product and the Gram matrix in this context.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a matrix representing a linear map and questions how to determine if it is self-adjoint without an orthonormal basis.
  • Another participant explains that the self-adjoint property can be expressed in terms of the inner product and introduces the Gram matrix associated with the basis.
  • The condition for self-adjointness is articulated as \( A^T G = G A \), where \( A \) is the matrix of the linear map and \( G \) is the Gram matrix.
  • A later reply reiterates the self-adjoint condition using the inner product notation, emphasizing the equivalence of the two expressions.
  • One participant expresses a preference for using angle brackets over LaTeX commands for inner products, indicating a subjective choice rather than a technical disagreement.

Areas of Agreement / Disagreement

Participants generally agree on the mathematical formulation of self-adjointness but may differ in their preferences for notation. The discussion remains open regarding the implications of non-orthonormal bases.

Contextual Notes

The discussion does not resolve the broader implications of self-adjointness in non-orthonormal contexts, nor does it clarify potential limitations of the Gram matrix approach.

Fernando Revilla
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Self-adjoint operator (Ben's question at Yahoo! Answers)

Here is the question:

I have matrix that represent T:V -> V (linear map over $\mathbb{R}$) according to basis $E$.

E is not an orthonormal set.

how can I know if this T is self-adjoin ?

I know that if E was orthonormal basis we would take the transpose matrix.

but what about here ?

the matrix is :

1 2
2 1

Here is a link to the question:

Self-adjoint and properties? - Yahoo! Answers


I have posted a link there to this topic so the OP can find my response.
 
Last edited:
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Hello Ben,

We need the expression of the inner product. Suppose $G$ is the Gram matrix of the inner product with respect to $E$ and $A$ is the matrix of $T$ with respect to $E$. Denote $X,Y$ the coordinates of $x,y$ respectively with respect to $E$. Then,

$$T\mbox{ is self-adjoint}\Leftrightarrow\; <T(x),y>=<x,T(y)>\quad \forall x\forall y\in V$$
We can express
$$<T(x),y>=(AX)^TGY=X^TA^TGY\\<x,T(y)>=X^TG(AY)=X^TGAY$$ Then, $$X^TA^TGY=X^TGAY\Leftrightarrow X^T(A^TG-GA)Y=0$$ This happens for all $X,Y$ if and only if $A^TG=GA$. So, $$\boxed{T\mbox{ is self-adjoint}\Leftrightarrow A^TG=GA}$$ Particular case: If $E$ is orthonormal then $G=I$, so $T$ is self-adjoint if and only if $A^T=A$ (i.e. $A$ is symmetric).
 
Fernando Revilla said:
$$T\mbox{ is self-adjoint}\Leftrightarrow\; <T(x),y>=<x,T(y)>\quad \forall x\forall y\in V$$

You can use the \langle and \rangle commands in $\LaTeX$ to get better-looking inner products:

$$\langle T(x),y \rangle = \langle x,T(y) \rangle \quad \forall x,y \in V.$$
 
Ackbach said:
You can use the \langle and \rangle commands in $\LaTeX$ to get better-looking inner products:

Thanks, I knew those commads but for me is better-looking < and >. Only a question of particular taste. :)
 

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