Proving Uniform Convergence of {fn} to f When f is Continuous

In summary: This is known as the Monotone Convergence Theorem, and it can be applied to our sequence of functions {fn} to show that it converges uniformly to f.In summary, we have shown that if a sequence of functions {fn} is nondecreasing and converges point-wise to a continuous function f, then {fn} also converges uniformly to f. This is an important result in analysis and has many applications in mathematics. I hope this explanation has been helpful to you. Keep up the good work!
  • #1
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Homework Statement
Say we have a sequence of functions {fn: [a,b] -> R} such that each fn is nondecreasing. Suppose that {fn} converges point-wise to f. Prove that if f is continuous, then {fn} converges uniformly to f.

The attempt at a solution
Fix an x in [a,b] and let e > 0. Then we can find a d such that if |y - x| < d, then |f(y) - f(x)| < e. Now fix a y such that |y - x| < d. Then there is an N such that |f(y) - fn(y)| < e for all n > N. And so we have

|f(x) - fn(x)| <= |f(x) - f(y)| + |f(y) - fn(y)| + |fn(y) - fn(x)|.

The first two terms on the RHS can be made arbitrarily small, but not the last one. I haven't used the fact that fn or that f is nondecreasing, but I don't understand how this would come into play. Any tips?
 
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  • #2




Thank you for your question. Your attempt at a solution is on the right track, but there are a few things that need to be clarified. First, let's define what it means for a sequence of functions to converge point-wise. This means that for every x in [a,b], the sequence {fn(x)} converges to f(x) as n goes to infinity. In other words, for every x, we can find an N such that for all n > N, |f(x) - fn(x)| < e. This is slightly different from what you have written, where you fix an x and then choose a y close to x.

Now, let's consider the sequence of functions {fn} and their point-wise limit f. We want to show that this sequence converges uniformly to f, which means that for every e > 0, we can find an N such that for all n > N, |f(x) - fn(x)| < e for all x in [a,b]. This is slightly different from what you have written, where you fix an x and then choose a y close to x.

To prove this, we will use the fact that f is continuous. This means that for every x in [a,b], we can find a d such that if |y - x| < d, then |f(y) - f(x)| < e. Now, let's fix an x in [a,b] and choose an N such that for all n > N, |f(x) - fn(x)| < e/2. This is possible because fn converges point-wise to f. Next, let's choose a y such that |y - x| < d. Then, we have:

|f(y) - fn(y)| <= |f(y) - f(x)| + |f(x) - fn(x)| < e/2 + e/2 = e

This shows that for all x in [a,b], |f(y) - fn(y)| < e for all n > N, which means that {fn} converges uniformly to f.

Now, let's consider the fact that each fn is nondecreasing. This means that for all x in [a,b], fn(x) <= fn+1(x). In other words, the sequence {fn(x)} is nondecreasing for every x in [a,b]. This is important because it allows us to use
 

1. What is uniform convergence?

Uniform convergence is a type of convergence in which a sequence of functions converges to a limit function in such a way that the rate of convergence is independent of the point at which the function is evaluated. This means that the difference between the limit function and each individual function in the sequence becomes smaller and smaller at the same rate, regardless of the input value.

2. How is uniform convergence different from pointwise convergence?

Pointwise convergence is a type of convergence in which a sequence of functions converges to a limit function point by point, meaning that for each input value, the difference between the limit function and the corresponding function in the sequence approaches zero. In contrast, uniform convergence requires that the difference between the limit function and each individual function in the sequence approaches zero at the same rate, regardless of the input value.

3. Why is proving uniform convergence important?

Proving uniform convergence is important because it allows us to make stronger conclusions about the behavior of a sequence of functions. Uniform convergence guarantees that the limit function will possess certain desirable properties, such as continuity and integrability, which may not be guaranteed by pointwise convergence alone.

4. What does it mean for f to be continuous?

A function f is continuous if it has no sudden jumps or breaks in its graph. This means that as the input values change, the output values change smoothly and without any abrupt changes. In terms of a sequence of functions, this means that the limit function is equal to the function being approximated by the sequence at every point.

5. How do you prove uniform convergence of {fn} to f when f is continuous?

To prove uniform convergence of a sequence of functions {fn} to a continuous function f, one can use the epsilon-delta definition of uniform convergence. This involves showing that for any given epsilon greater than zero, there exists a delta greater than zero such that the difference between the limit function and each individual function in the sequence is less than epsilon when the input values are within a distance of delta from each other. This ensures that the rate of convergence is independent of the input value, proving uniform convergence.

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