Weierstrass Approximation Theorem

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SUMMARY

The Weierstrass Approximation Theorem asserts that for any continuously differentiable function f on the interval [a, b], there exists a sequence of polynomials p_n that converges uniformly to f, and their derivatives p'_n converge uniformly to f'. The discussion highlights the incorrect assumption that p_n can be expressed as c_n t^n, emphasizing that the theorem does not specify the form of p_n. Instead, it suggests focusing on the uniform convergence of the derivatives and the relationship between the errors in approximation and integration.

PREREQUISITES
  • Understanding of the Weierstrass Approximation Theorem
  • Knowledge of uniform convergence in function analysis
  • Familiarity with continuous differentiability
  • Basic principles of polynomial approximation
NEXT STEPS
  • Study the implications of the Weierstrass Approximation Theorem in functional analysis
  • Explore techniques for proving uniform convergence of polynomial sequences
  • Learn about error estimation in polynomial approximations
  • Investigate the relationship between integration and approximation of derivatives
USEFUL FOR

Mathematicians, students studying real analysis, and anyone interested in approximation theory and the properties of polynomial functions.

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Homework Statement


Show that if f is continuously differentiable on [a, b], then there is a sequence of
polynomials pn converging uniformly to f such that p'n converge uniformly to f' as
well.

Homework Equations


The Attempt at a Solution


Let pn(t) = cn t^n
Use uniform convergence and integrate from a to x to get:
[tex]f(x) - f(a) = \lim_{n \rightarrow \infty} \left[ \frac{c_n}{n+1} ( x^{n+1} - a^{n+1}) \right][/tex]

Now what is next?? How do I show that f(a) converges to the right side of the limit? so that then i can conclude that f(x) = lim cn x^(n+1) / (n+1)
 
Last edited:
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You seem to be confused. The Weierstrass approximation theorem tells you that, given any continuous function [tex]g[/tex] on [tex][a, b][/tex], there exists some sequence [tex](p_n)[/tex] of polynomials which converges uniformly to [tex]g[/tex] on [tex][a, b][/tex]. But it does not tell you anything about the form of the [tex]p_n[/tex]; in particular, you cannot assume that they have the form [tex]p_n(t) = c_n t^n[/tex]. So this approach will not get you anywhere.

Your intuition that you should be approximating [tex]f'[/tex] and integrating is, however, correct. Think about what integration does with accumulated errors in an estimate: if [tex]|p_n(t) - f'(t)| < \varepsilon[/tex], uniformly in [tex]t \in [a, b][/tex], can you use that to construct a polynomial that estimates [tex]f[/tex] with some error related somehow to [tex]\varepsilon[/tex]?
 

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