Riesz-Fischer Theorem
Theorem
Let $\struct {X, \Sigma, \mu}$ be a measure space.
Let $p \in \R$, $p \ge 1$.
The Lebesgue $p$-space $\map {\LL^p} \mu$, endowed with the $p$-norm $\norm {\cdot}_p$, is a Banach space.
Corollary
![]() | This page has been identified as a candidate for refactoring. In particular: as usual Until this has been finished, please leave {{Refactor}} in the code.
New contributors: Refactoring is a task which is expected to be undertaken by experienced editors only. Because of the underlying complexity of the work needed, it is recommended that you do not embark on a refactoring task until you have become familiar with the structural nature of pages of $\mathsf{Pr} \infty \mathsf{fWiki}$.To discuss this page in more detail, feel free to use the talk page. When this work has been completed, you may remove this instance of {{Refactor}} from the code. |
Let $\struct {X, \Sigma, \mu}$ be a measure space.
Let $p \in \R$, $p \ge 1$.
If a sequence $\sequence {f_k}$ in $\map {\LL^p} \mu$ converges to $f$,
then there is a subsequence $\sequence {f_{k_j}}$ that converges pointwise a.e. to $f$.
Proof
From Absolutely Convergent Series in Normed Vector Space is Convergent iff Space is Banach, to prove $\map {\LL^p} \mu$ is complete, it suffices to prove that every absolutely summable sequence in $\map {\LL^p} \mu$ is summable.
Let $\sequence {f_n}$ be an absolutely summable sequence in $\map {\LL^p} \mu$
Define:
- $\ds \sum_{k \mathop = 1}^\infty \norm {f_k}_p =: B < \infty$
Also define:
- $\ds G_n := \sum_{k \mathop = 1}^n \size {f_k}$
and:
- $\ds G = \sum_{k \mathop = 1}^\infty \size {f_k}$
It is clear that the conditions of the Monotone Convergence Theorem (Measure Theory) hold, so that:
- $\ds \int_X G^p = \lim_{n \mathop \to \infty} \int_X G_n^p$
By observing that:
| \(\ds \norm {G_n}_p\) | \(\le\) | \(\ds \sum_{k \mathop = 1}^n \norm {f_n}_p\) | Minkowski's Inequality/Lebesgue Spaces | |||||||||||
| \(\ds \) | \(\le\) | \(\ds \sum_{k \mathop = 1}^\infty \norm {f_k}_p\) | ||||||||||||
| \(\ds \) | \(\le\) | \(\ds B\) | Definition of $B$ | |||||||||||
| \(\ds \) | \(<\) | \(\ds \infty\) |
we can also say that:
- $\ds \int_X \size {G_n}^p \le B^p$
and therefore:
- $\ds \lim_{n \mathop \to \infty} \int_X \size {G_n}^p \le B^p$
Therefore we have that:
- $\ds \int_X G^p \le B^p < \infty$
This confirms:
- $G \in \map {\LL^p} \mu$
In particular:
- $G \in \map{\LL^p} \mu$
entails that:
- $G < \infty$ a.e.
So $\sequence {f_k}$ is absolutely summable a.e..
By Absolutely Convergent Series is Convergent/Real Numbers:
- $\ds F = \sum_{k \mathop = 1}^\infty f_k$
converges a.e.
Because $\size F \le G$:
- $F \in \map {\LL^p} \mu$
It only remains to show that:
- $\ds \sum_{k \mathop = 1}^n f_k \to F$ in $\norm {\cdot}_p$
which we can accomplish by Lebesgue's Dominated Convergence Theorem.
| This page or section has statements made on it that ought to be extracted and proved in a Theorem page. In particular: extract the part of proof below into a page for a theorem: Dominated Pointwise Convergence implies Convergence in Lp as proved in StackExchange You can help $\mathsf{Pr} \infty \mathsf{fWiki}$ by creating any appropriate Theorem pages that may be needed. To discuss this page in more detail, feel free to use the talk page. |
Because $\ds \size {F - \sum_{k \mathop = 1}^n f_k}^p \le (2G)^p \in \map{\LL^1}\mu$, the theorem applies.
We infer:
- $\ds \norm {F - \sum_{k \mathop = 1}^n f_k}_p^p = \int_X \size {F - \sum_{k \mathop = 1}^n f_k}^p \to 0$
Therefore by Definition of Lp Norm in $\map{\LL^p}\mu$ we have that $\ds \sum_{k \mathop = 1}^\infty f_k$ converges in $\map{\LL^p}\mu$.
This shows that $\sequence {f_k}$ is summable, as we were to prove.
$\blacksquare$
Source of Name
This entry was named for Frigyes Riesz and Ernst Sigismund Fischer.
Historical Note
The was proved jointly by Ernst Sigismund Fischer and Frigyes Riesz.
Fischer proved the result for $p = 2$, while Riesz (independently) proved it for all $p \ge 1$.
Sources
- 1999: Gerald B. Folland: Real Analysis: Modern Techniques and their Applications (2nd ed.): $6.1$ Theorem $6.6$
- 2005: René L. Schilling: Measures, Integrals and Martingales ... (previous) ... (next): $12.7$
