Check Uniform Convergence of f_n(x): Solutions & Explanations

In summary, to show that f_n(x) is uniformly convergent, we can use the squeeze theorem to show that \lim_{n \rightarrow \infty}f_n(x)=f(x), and then use the fact that f is uniformly continuous on [a,b] to choose a fixed N that works for all x \in [a,b].
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Homework Statement


f(x) is defined within [a,b].
[itex]f_n(x)=\frac{\big\lfloor nf(x) \big\rfloor}{n}[/itex]

Check if [itex]f_n(x)[/itex] is uniform convergent.

The Attempt at a Solution


This one seems to be easy however since I didn't touch calculus for quite a time I'm not confident with my solution.

[itex]|\frac {nf(x)-1} {n}| \leq |\frac {\big\lfloor nf(x) \big\rfloor }{n}| \leq |\frac {nf(x)+1} {n}|[/itex] so by the squeeze theorem: [itex] \lim_{n \rightarrow \infty}f_n(x)=f(x)[/itex].

Now, let [itex]x_0 \in [a,b] [/itex] if [itex] f(x_0) \geq 0 [/itex] then: [itex] |f_n(x)-f(x)|=|\frac {\big\lfloor nf(x) \big\rfloor } {n}-f(x)| \leq |\frac {nf(x)+1} {n}|=\frac {1}{n} \rightarrow 0[/itex], similarly we can show that the same equation hold when f(x_0)<0 what in turns means that we can choose N that is not dependent on x and satisfies [itex] |f_n(x)-f(x)|< \epsilon[/itex]

Looks good?
 
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  • #2


I would like to provide some feedback on your solution. It is correct to use the squeeze theorem to show that \lim_{n \rightarrow \infty}f_n(x)=f(x). However, your argument for choosing N that is not dependent on x is not entirely clear.

To show that f_n(x) is uniformly convergent, we need to show that for any given \epsilon > 0, there exists an N \in \mathbb{N} such that for all x \in [a,b] and all n \geq N, we have |f_n(x)-f(x)| < \epsilon.

In your solution, you only showed that for a fixed x_0 \in [a,b], there exists an N \in \mathbb{N} such that for all n \geq N, we have |f_n(x_0)-f(x_0)| < \epsilon. This is not enough to show uniform convergence, as N depends on the choice of x_0.

To fix this, you can use the fact that [a,b] is a bounded interval and f is continuous on [a,b]. This means that f is uniformly continuous on [a,b], which implies that for any given \epsilon > 0, there exists a \delta > 0 such that for all x,y \in [a,b] with |x-y| < \delta, we have |f(x)-f(y)| < \epsilon.

Now, for any given x \in [a,b], we can choose N \in \mathbb{N} such that |nf(x)-nf(x_0)| < \delta for all n \geq N. This implies that |f_n(x)-f_n(x_0)| < \epsilon for all n \geq N. Since x_0 was arbitrary, this shows that |f_n(x)-f(x)| < \epsilon for all x \in [a,b] and all n \geq N, which is what we needed to show for uniform convergence.

Overall, your solution is on the right track, but it would benefit from being more explicit about the choice of N and how it is not dependent on x.
 

Related to Check Uniform Convergence of f_n(x): Solutions & Explanations

1. What is the definition of uniform convergence of a sequence of functions?

Uniform convergence of a sequence of functions is a property that describes the behavior of the sequence as a whole. It means that for every value of x, the sequence of functions will eventually get close enough to each other that they are all within a certain distance of each other.

2. How is uniform convergence different from pointwise convergence?

Pointwise convergence only guarantees that for each individual value of x, the sequence of functions will eventually get close enough to the limiting function. Uniform convergence, on the other hand, guarantees that the entire sequence of functions will eventually get close enough to each other for all values of x, not just individual ones.

3. What is the Cauchy criterion for uniform convergence?

The Cauchy criterion states that a sequence of functions is uniformly convergent if and only if for every positive number ε, there exists a natural number N such that for all n,m ≥ N and for all x, |fn(x) - fm(x)| < ε.

4. How can you check for uniform convergence of a sequence of functions?

To check for uniform convergence, you can use the Cauchy criterion, or you can use one of several convergence tests, such as the Weierstrass M-test or the Dirichlet test. You can also check if the sequence of functions satisfies the definition of uniform convergence.

5. What are some common examples of sequences of functions that do and do not converge uniformly?

Some common examples of sequences of functions that converge uniformly include polynomial functions, exponential functions, and trigonometric functions. Examples of sequences that do not converge uniformly include the sequence of functions fn(x) = xn on the interval [0,1] and the sequence of functions fn(x) = sin(nx) on the interval [0,π].

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