- categories: Real Analysis, Theorem
The Stone-Weierstrass Theorem generalizes the Weierstrass Approximation Theorem. It extends the result from polynomials to a more general class of functions and provides conditions under which continuous functions on a compact space can be uniformly approximated.
Statement of the Theorem
Let be a compact Hausdorff space, and let be a subalgebra of (the set of continuous real-valued functions on ). The Stone-Weierstrass Theorem states that if :
- Contains a constant function,
- Separates points on (i.e., for any two distinct points , there exists a function such that ),
then is dense in with respect to the uniform norm. This means that for any continuous function and any , there exists a function such that:
Intuition
The Stone-Weierstrass Theorem tells us that if a subalgebra of continuous functions satisfies certain properties, then we can uniformly approximate any continuous function on a compact space using functions from this subalgebra.
- The Weierstrass Approximation Theorem is a special case where the space and the subalgebra is the set of polynomials. The Stone-Weierstrass Theorem applies to much more general spaces and function classes. In the Weierstrass case, the approximating functions are polynomials, whereas in the Stone-Weierstrass Theorem, the approximating functions can be elements of any subalgebra that satisfies the two conditions (constant function and point separation).
Example
Consider and the subalgebra of continuous functions spanned by . This set satisfies the conditions of the Stone-Weierstrass Theorem, so any continuous function on can be uniformly approximated by a finite linear combination of cosine functions.
Applications
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Fourier Series: In many cases, trigonometric polynomials (sums of sines and cosines) are used to approximate functions, and the Stone-Weierstrass Theorem guarantees that this type of approximation is possible.
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Functional Analysis: The theorem is important in the study of Banach algebras and approximation theory, as it ensures that large classes of functions can be approximated by simpler or more structured ones.