MHB Real Analysis - Convergence to Essential Supremum

Click For Summary
The discussion centers on proving the limit of the ratio of integrals of a bounded function raised to increasing powers, specifically showing that the limit approaches the essential supremum of the function. The user expresses uncertainty about the approach, noting that the probability space implies the measure of the space is one. A contributor suggests using properties of integrals and Hölder's inequality to establish upper and lower bounds for the integrals involved. By analyzing the behavior of these integrals, they derive that the limit of the ratio converges to the essential supremum of the function. The conversation highlights the importance of understanding convergence in the context of real analysis.
joypav
Messages
149
Reaction score
0
Problem:
Let $\left(X, M, \mu\right)$ be a probability space. Suppose $f \in L^\infty\left(\mu\right)$ and $\left| \left| f \right| \right|_\infty > 0$. Prove that
$lim_{n \rightarrow \infty} \frac{\int_{X}^{}\left| f \right|^{n+1} \,d\mu}{\int_{X}^{}\left| f \right|^{n} \,d\mu} = \left| \left| f \right| \right|_\infty$

Proof:
So... I'm not really sure how to approach this problem.
$\left(X, M, \mu\right)$ is a probability space $\implies \mu\left(X\right) = 1$
Which then, $\left| \left| f \right| \right|_p \leq \left| \left| f \right| \right|_\infty$ for all $p$.

I thought maybe to just use our usual definition for convergence? Meaning,
$\forall \epsilon>0, \exists \delta>0, n>\delta \implies \left|\frac{\int_{X}^{}\left| f \right|^{n+1} \,d\mu}{\int_{X}^{}\left| f \right|^{n} \,d\mu} - \left| \left| f \right| \right|_\infty \right| \leq \epsilon$

But again, I'm not seeing what the next step would be... if someone could give some help I would really appreciate it!
 
Physics news on Phys.org
Hello joypav,

If $\alpha_n = \int_X \lvert f\rvert^n\, d\mu$, then using the fact $\lvert f(x)\rvert \le \|f\|_\infty$ a.e., one finds $\alpha_{n+1} \le \|f\|_\infty \alpha_n$, forcing $\limsup_{n\to \infty} \alpha_{n+1}/\alpha_n \le \|f\|_\infty$. On the other hand, if $\varepsilon \in (0, \|f\|_\infty)$, the set $A := \{x\in X : |f(x)| > \|f\|_\infty - \varepsilon\}$ has finite positive measure. Using Hölder's inequality, show that $$\left(\frac{1}{\mu(A)} \int_A \lvert f\vert^{n+1}\, d\mu\right)^{1/(n+1)} \ge \left(\frac{1}{\mu(A)}\int_A \lvert f\vert^n\, d\mu\right)^{1/n}$$ and consequently $$\alpha_{n+1} \ge \int_A \lvert f\rvert^{n+1}\, d\mu \ge \mu(A)^{-1/n}(\|f\|_\infty - \varepsilon)^{n+1}$$ Since $\alpha_n \le \|f\|_\infty^n$, then $\alpha_{n+1}/\alpha_n \ge \mu(A)^{-1/n}(\|f\|_\infty - \varepsilon)$. Taking inferior limits as $n \to \infty$ results in $$\liminf_{n\to \infty} \frac{\alpha_{n+1}}{\alpha_n} \ge \|f\|_\infty-\varepsilon$$As $\epsilon$ was arbitrary, $\liminf_{n\to \infty} \alpha_{n+1}/\alpha_n \ge \|f\|_\infty$. Hence $\alpha_{n+1}/\alpha_n$ converges to $\|f\|_\infty$.
 
We all know the definition of n-dimensional topological manifold uses open sets and homeomorphisms onto the image as open set in ##\mathbb R^n##. It should be possible to reformulate the definition of n-dimensional topological manifold using closed sets on the manifold's topology and on ##\mathbb R^n## ? I'm positive for this. Perhaps the definition of smooth manifold would be problematic, though.

Similar threads

  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K