Another uniform convergence question

In summary, to prove that t(x) = \sum^{infinity}_{n=0} xnh(xn) is uniformly convergent on [0,s] where 0<s<1, we can use the Weierstrass M-test and the fact that h is continuous on a compact set to bound h(x^n) and find small bounds for x^n h(x^n). This shows that the sequence of h's for all n is uniformly bounded by a single M and the series xn converges uniformly on this interval. Therefore, t(x) also converges uniformly and is thus uniformly convergent on [0,s].
  • #1
Kate2010
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Homework Statement



h:[0,1] -> R is continuous
Prove that t(x) = [tex]\sum[/tex][tex]^{infinity}_{n=0}[/tex] xnh(xn) is uniformly convergent on [0,s] where 0<s<1

Homework Equations





The Attempt at a Solution



I have the definition of h being continuous but after this I am pretty clueless about how to tackle this problem. I could use the Weierstrass M-test. I know the series xn converges uniformly on this interval as xn < sn but I don't know how to use the fact that h is continuous to find a sequence of real numbers that xnh(xn) is always less than.
 
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  • #2
Use the extreme value theorem to bound h(x^n), and then find small bounds for x^n h(x^n).
 
  • #3
h is continuous (it is a continuous function of a polynomial which is continuous) on a compact set therefore h is bounded for x in the interval [0,s]. the sequence of h's for all n is uniformly bounded by a single M. as you said the s^n is a geometric series so it converges. hence uniform convergence.
 

FAQ: Another uniform convergence question

What is uniform convergence?

Uniform convergence is a type of convergence in which the rate of convergence is the same everywhere in the domain of the function. This means that the function approaches the same limit value at the same rate at every point in its domain.

How is uniform convergence different from pointwise convergence?

In pointwise convergence, the limit of the function may vary depending on the point in the domain, whereas in uniform convergence, the limit is the same for all points in the domain. Additionally, in uniform convergence, the rate of convergence is constant throughout the domain, while in pointwise convergence, it may vary from point to point.

What are the conditions for uniform convergence?

For a sequence of functions to converge uniformly, the functions must converge pointwise and the rate of convergence must be independent of the point in the domain. This means that for any positive number ε, there exists an integer N such that for all x in the domain, the difference between the function and its limit is less than ε when n ≥ N.

How is uniform convergence related to continuity?

Uniform convergence is closely related to continuity because a function that converges uniformly must be continuous. This is because uniform convergence guarantees that the function is close to its limit value at every point in the domain, which is a key requirement for continuity.

Why is uniform convergence important in analysis?

Uniform convergence is important in analysis because it allows us to interchange limits and integrals, which is a powerful tool in solving problems related to sequences of functions. It also ensures that we can manipulate functions within a certain class in a uniform manner, making it easier to analyze their behavior and properties.

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