Compact Hausdorff Spaces: Star-Isomorphic Unital C*-Algebras

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Homework Help Overview

The discussion revolves around the properties of continuous functions defined on compact Hausdorff spaces, specifically focusing on the star-isomorphism between the unital C*-algebras C(X) and C(Y) when X and Y are homeomorphic. Participants are exploring the implications of linearity and the structure of these function spaces.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are examining the mapping defined by composition with a homeomorphism and questioning how to demonstrate linearity within the context of vector spaces. There is also discussion about the implications of using composition versus standard multiplication in this setting.

Discussion Status

Some participants have provided insights into the definitions and properties of vector spaces, suggesting that the original poster can utilize the axioms of vector spaces to address their confusion. The conversation indicates a productive exploration of the necessary properties for the mapping to be considered linear and unital, though no consensus has been reached on all aspects of the problem.

Contextual Notes

There is mention of the original poster's uncertainty regarding algebraic definitions due to a lack of recent coursework in the area, which may affect their understanding of the concepts being discussed.

HeinzBor
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Homework Statement
ismorphism between hausdorff compact spaces on C(X) to C(Y)
Relevant Equations
Standard Algebra definitions.
If ##X## and ##Y## are homeomorphic compact Hausdorff spaces, then ##C(X)## and ##C(Y)## are ##star##-isomorphic unital ##C^{*}##-algebras.

So I got the following map to work with

(AND RECALL THAT ##C(X)## and ##C(Y)## are vector spaces).
$$C(h) : C(Y) \rightarrow C(X) \ : \ f \mapsto f \circ h$$
and thus to show linearity (one of the many statements) I must show that
$$((f+ \lambda g) \circ h)(x) = (f \circ h + \lambda g \circ h) (x) \ \ \lambda \in \mathbb{C}, g \in C(Y)$$
However, I am a bit confused on how to work with this mapping, any help is appreciated..
 
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Isn't this simply the definition of the vector space property of ##C(Y)##?
 
fresh_42 said:
Isn't this simply the definition of the vector space property of ##C(Y)##?
Yea I assume I can work with the axioms of a vector space since the functions belong to C(X) and C(Y). However, I haven't had an algebra course for so long, so I am a bit confused on how to work with those definitions, when I have the composition instead of the usual product showing up. Am I allowed to just work with the composition as a standard product in a vector space?
 
You simply have ##h(x)=:y\in Y##. So if you write down the linearity in ##C(Y),## namely the linearity
$$
(f+\lambda \cdot g)(y) := f(y)+ \lambda \cdot g(y),
$$
in a function space, then you get exactly what you need. Only substitute ##y## by ##h(x).##
 
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fresh_42 said:
You simply have ##h(x)=:y\in Y##. So if you write down the linearity in ##C(Y),## namely the linearity
$$
(f+\lambda \cdot g)(y) := f(y)+ \lambda \cdot g(y),
$$
in a function space, then you get exactly what you need. Only substitute ##y## by ##h(x).##
Ahhh yes ! of course.. $$X \rightarrow V$$ can be given the structure of a vector space over $$\mathbb{F}$$, if for any $$f,g : X \rightarrow V$$, $$x \in X$$, $$\lambda \in \mathbb{F}$$ $$(f+g)(x) = f(x) + g(x)$$ and $$(\lambda f)(x) = \lambda f(x)$$ and composition is associative..
 
Last edited:
Okay so for linearity:

$$
((f + \lambda g) \circ h)(x) = f((h(x)) + \lambda g (h(x)))
= (f \circ h + \lambda g \circ h)(x)
$$

Multiplicativity:

$$
(f \circ g) ( g \circ h) (x) = f(g \circ h)(x)
= ((fg) \circ h) (x).
$$

To show the mapping preserves involution:

$$
(\overline{f} \circ h)(x) = \overline{f}(x)
= (\overline{f \circ h})(x)
$$Lastly I must show that it is unital i.e.

$$1 h = 1$$, somehow it seems really obvious, but how can h just be gone... $$h$$ was assumed to be a homeomorphism between to compact hausdorff spaces so its 1-1 and has continuous inverse...
 

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