Adjoint operator and orthogonal projection

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Discussion Overview

The discussion revolves around the properties of adjoint operators and orthogonal projections in the context of Hilbert spaces. Participants explore how to demonstrate the relationship between the adjoint operator and projections onto closed convex sets, as well as how to construct specific operators that satisfy certain projection equations.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Some participants aim to show that \( T^{*}(Pr_{C}(y)) = Pr_{T^{*}(C)}(T^{*}y) \) under the condition that \( T \in B(H) \) and \( TT^{*} = I \), where \( H \) is a Hilbert space and \( C \) is a closed convex non-empty set.
  • One participant notes that since \( TT^* = I \), it follows that \( \|T^*x\| = \|x\| \) for all \( x \in H \), and suggests showing that \( \inf_{c\in C} \|T^*c - T^*y\| = \inf_{c\in C} \|c - y\| \) to deduce properties of projections.
  • Another participant expresses uncertainty about how to construct the operator \( T \) to satisfy the equations \( Pr_{x + C}(y) = Pr_{C}(x + y) \) and \( Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y) \), and questions how \( T \) relates to these equations.
  • One participant proposes letting \( Ty = y - x \) and questions whether this leads to \( T^{*}y = y + x \), expressing uncertainty about the validity of this approach.
  • Another participant suggests that for the equation \( Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y) \), one can take \( T(y) = \lambda y \), which defines an operator in \( B(H) \) with \( \|T\| = |\lambda| \), while noting that the suggestion of \( Ty = y - x \) does not define a linear operator unless \( x = 0 \).

Areas of Agreement / Disagreement

Participants express various viewpoints on the construction of the operator \( T \) and its implications for the projection equations. There is no consensus on the best approach to define \( T \) or the validity of the proposed methods.

Contextual Notes

Participants discuss the implications of the properties of adjoint operators and projections without resolving the mathematical steps or assumptions involved in their arguments.

mathzero
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Hello,

I want to show $ T^{*}(Pr_{C}(y)) = Pr_{T^{*}(C)}(T^{*}y)$

where $T \in B(H)$ and $TT^{*}=I$ , $H$ is Hilbert space and $C$ is a closed convex non empty set.

but i don't know how to start, or what tricks needed to solve this type of problems.

also i want know how to construct $T$ to satisfying

$ Pr_{x + C}(y) = Pr_{C}(x + y)$ and $ Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y)$

Thanks!
 
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mathzero said:
Hello,

I want to show $ T^{*}(Pr_{C}(y)) = Pr_{T^{*}(C)}(T^{*}y)$

where $T \in B(H)$ and $TT^{*}=I$ , $H$ is Hilbert space and $C$ is a closed convex non empty set.
Since $TT^* = I$, then $\|T^*x\| = \|x\|$ for all $x\in H$. Indeed, given $x\in H$, $\|T^*x\|^2 = \langle T^*x, T^*x\rangle = \langle TT^*x, x\rangle = \langle x,x\rangle = \|x\|^2$. Show that
$$\inf_{c\in C} \|T^*c - T^*y\| = \inf_{c\in C} \|c - y\|$$
and deduce $T^*(\operatorname{Pr}_C(y))$ is a point of $T^*(C)$ closest to $T^*y$. Then the result follows.
mathzero said:
also i want know how to construct $T$ to satisfying

$ Pr_{x + C}(y) = Pr_{C}(x + y)$ and $ Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y)$
How does $T$ relate to those equations?
 
Thank you!

Euge said:
How does $T$ relate to those equations?

i want apply this result $T^{*}(Pr_{C}(y)) = Pr_{T^{*}(C)}(T^{*}y)$, to

$Pr_{x + C}(y) = Pr_{C}(x + y)$ and $Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y)$

by creating $T$ first and later deducing $T^{*}$ (i don't know if this is possible!),

i imagine maybe, just by letting $Ty = y - x$ then $T^{*}y= y + x$? this can be possible?
 
Last edited:
mathzero said:
Thank you!
i want apply this result $T^{*}(Pr_{C}(y)) = Pr_{T^{*}(C)}(T^{*}y)$, to

$Pr_{x + C}(y) = Pr_{C}(x + y)$ and $Pr_{\lambda C}(\lambda y) = \lambda Pr_{C}(y)$

by creating $T$ first and later deducing $T^{*}$ (i don't know if this is possible!),

i imagine maybe, just by letting $Ty = y - x$ then $T^{*}y= y + x$? this can be possible?

In the case $\operatorname{Pr}_C(\lambda C) = \lambda \operatorname{Pr}_C(y)$, you can take $T(y) = \lambda y$, for all $y\in H$, which defines an element of $B(H)$ with $\|T\| = \lvert \lambda \rvert$. For the other equation, you suggest letting $Ty = y - x$, but this does not define a linear operator unless $x = 0$.
 

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