What are they doing here? (polynomials-functions)

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In summary, the Weierstrass approximation theorem states that every continuous function defined on an interval [a,b] can be uniformly approximated as closely as desired by a polynomial function. The proof is done in two steps: first prove it for any continuous function g(x), which is 0 at the two ends, then use the decomposition to prove it for any continuous function f(x) by adding h(x) to the polynomial approximations for g(x).
  • #1
nalkapo
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I am currently studying Stone–Weierstrass approximation theorem, and some parts really confuse me.
basically, the Weierstrass approximation theorem states that every continuous function defined on an interval [a,b] can be uniformly approximated as closely as desired by a polynomial function.

In the proof,
at first they say on [a,b]=[0,1]
f(0)=f(1)=0. Why do they want to say that at the end points function must be zero?

second, if the theorem is proved for this case, consider
g(x)= f(x)- f(0) - x[f(1)-f(0)] (0<= x <= 1)
Here g(0)=g(1)=0

Can anyone explain the meaning and purpose of these transformation?

My guess is that they want to define function f and then find a g(x) which looks like polynomials. Is that right? and also, is there any relationship between these transformation and uniformly convergence?
 
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  • #2
nalkapo said:
I am currently studying Stone–Weierstrass approximation theorem, and some parts really confuse me.
basically, the Weierstrass approximation theorem states that every continuous function defined on an interval [a,b] can be uniformly approximated as closely as desired by a polynomial function.

In the proof,
at first they say on [a,b]=[0,1]
f(0)=f(1)=0. Why do they want to say that at the end points function must be zero?
I don't understand what you are saying. What is "f"? What are the hypotheses here?

second, if the theorem is proved for this case, consider
g(x)= f(x)- f(0) - x[f(1)-f(0)] (0<= x <= 1)
Here g(0)=g(1)=0

Can anyone explain the meaning and purpose of these transformation?

My guess is that they want to define function f and then find a g(x) which looks like polynomials. Is that right? and also, is there any relationship between these transformation and uniformly convergence?
 
  • #3
HallsofIvy said:
I don't understand what you are saying. What is "f"? What are the hypotheses here?

f is any continuous function f(x) on an interval [a,b] . in the proof they chose [0,1] .
they want to prove that for any continuous function, there is a polynomial that can be approximated to this function as much as desired.
i couldn't understand the change between those function.
 
  • #4
Any function f(x) on a closed interval [a,b] can be represented as the sum of two functions. h(x)=f(a) + [(x-a)/(b-a)]f(b) and g(x)=f(x)-h(x). g(a)=g(b)=0. The proof is then done in two steps: first prove it for any continuous function g(x), which is 0 at the two ends, then use the decomposition to prove it for any continuous function f(x) by adding h(x) to the polynomial approximations for g(x).
 
  • #5
thanks mathman,
now i think i got the idea...
 

FAQ: What are they doing here? (polynomials-functions)

1. What is a polynomial function?

A polynomial function is a mathematical function that can be written in the form f(x) = anxn + an-1xn-1 + ... + a1x + a0, where an, an-1, ..., a1, a0 are constants and n is a non-negative integer.

2. How do you graph a polynomial function?

To graph a polynomial function, plot points by choosing a few x-values and using the function to find the corresponding y-values. Then, connect the points with a smooth curve to get the graph of the function.

3. What is the degree of a polynomial function?

The degree of a polynomial function is the highest exponent in the function. For example, in the function f(x) = 2x3 + 5x2 + 3x + 1, the degree is 3.

4. Can a polynomial function have negative exponents?

No, a polynomial function cannot have negative exponents. This is because polynomial functions are built by adding, subtracting, and multiplying non-negative powers of the variable x.

5. How do you solve a polynomial function?

To solve a polynomial function, set the function equal to zero and use algebraic methods such as factoring, the quadratic formula, or the rational roots theorem to find the roots or solutions of the function.

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