Can Bernstein Polynomials Approximate Functions and Their Derivatives Uniformly?

In summary: n-1}) + (a^n + a^{n-1}a + ... + a^n) = (x-a)(x^{n-1} + x^{n-2}a + ... + a^{n-1}) + (a^n + a^{n-1}a + ... + a^n) = (x-a)(x^{n-1} + x^{n-2}a + ... + a^{n-1}) + (a^n + a^{n-1}a + ... + a^n) = (x-a)(x^{n-1} + x^{n-2}a + ... + a^{n-1}) + (a^n +
  • #1
adpc
6
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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)
 
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  • #2
= lim p'n(t)

To show that f(a) converges to the right side of the limit, we can use the fact that f is continuously differentiable on [a,b] to apply the Mean Value Theorem. Since f is continuously differentiable, it is also differentiable, which means that f' is continuous on [a,b]. Therefore, by the Mean Value Theorem, there exists a c in (a,x) such that f'(c) = (f(x) - f(a))/(x-a).

Using this, we can rewrite the limit as:

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

Since c_n is a constant and x-a is a fixed value, we can focus on the term (x^n + x^{n-1}a + ... + a^n) and show that it converges to f'(c) as n approaches infinity.

We can use the fact that f' is continuous on [a,b] to apply the Intermediate Value Theorem. This means that for any value of x in [a,b], there exists a d in (a,x) such that f'(d) = (f(x) - f(a))/(x-a).

Using this, we can rewrite the term (x^n + x^{n-1}a + ... + a^n) as:

(x^n + x^{n-1}a + ... + a^n) = (x^n + x^{n-1}a + ... + a^n) - (a^n + a^{n-1}a + ... + a^n) + (a^n + a^{n-1}a + ... + a^n)

= (x^n - a^n) + (x^{n-1}a - a^{n-1}a) + ... + (x-a)a^n + (a^n + a^{n-1}a + ... + a^n)

= (x-a)(x^{n-1} + x^{n-2}a + ... + a^{
 

Related to Can Bernstein Polynomials Approximate Functions and Their Derivatives Uniformly?

1. What are Bernstein polynomials?

Bernstein polynomials are a type of polynomial named after Sergei Natanovich Bernstein. These polynomials are defined on the interval [0,1] and are used to approximate other functions. They have a simple and elegant form, making them useful in various fields of mathematics and science.

2. How are Bernstein polynomials calculated?

Bernstein polynomials are calculated using the formula Bn,k(t) = nCk * tk * (1-t)n-k, where n is the degree of the polynomial and k is the variable. This formula can be easily programmed into a computer for fast and accurate calculations.

3. What are the applications of Bernstein polynomials?

Bernstein polynomials have many applications in mathematics, physics, and computer science. They are commonly used in interpolation, curve fitting, approximation of functions, and solving differential equations. They are also used in computer graphics and image processing for creating smooth curves and surfaces.

4. How do Bernstein polynomials differ from other types of polynomials?

Unlike other types of polynomials, Bernstein polynomials are defined on a specific interval (usually [0,1]) and have a simple form. They also have a lower degree of oscillation, making them useful for approximating continuous functions. Additionally, Bernstein polynomials are positive on the interval [0,1], which makes them useful in probability and statistics.

5. Can Bernstein polynomials be used for higher dimensions?

Yes, Bernstein polynomials can be extended to higher dimensions. In addition to the variable t, the formula for Bernstein polynomials in higher dimensions includes multiple variables (x, y, z, etc.) and the coefficients are multi-dimensional arrays. These polynomials are useful for approximating multi-dimensional functions and surfaces.

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