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:
f(x) - f(a) = \lim_{n \rightarrow \infty} \left[ \frac{c_n}{n+1} ( x^{n+1} - a^{n+1}) \right]

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 g on [a, b], there exists some sequence (p_n) of polynomials which converges uniformly to g on [a, b]. But it does not tell you anything about the form of the p_n; in particular, you cannot assume that they have the form p_n(t) = c_n t^n. So this approach will not get you anywhere.

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

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