15.4 Uniform Integrability
Definition 15.4.1 (Uniform Integrability).label Let $(X, \cm, \mu)$ be a measure space, $p \in [1, \infty)$, $E$ be a normed vector space over $K \in \RC$, and $\cf \subset L^{p}(X; E)$, then $\cf$ is uniformly $p$-integrable if
Proposition 15.4.2.label Let $(X, \cm, \mu)$ be a measure space, $p \in [1, \infty)$, $E$ be a normed vector space over $K \in \RC$, $\cf \subset L^{p}(X; K)$, and let $|\cf|^{p} = \bracsn{\norm{f}^p| f \in \cf}$, then:
- (1)
If $\cf$ is uniformly $p$-integrable, then $|\cf|^{p}$ is uniformly absolutely continuous with respect to $\mu$.
- (2)
If $\sup_{f \in \cf}\norm{f}_{L^p(X; E)}< \infty$ and $|\cf|^{p}$ is uniformly absolutely continuous with respect to $\mu$, then $\cf$ is uniformly $p$-integrable.
Proof. (1): Let $\eps > 0$, then there exists $M \ge 0$ such that
Thus for any $A \in \cm$,
so if $\mu(A) \le M\eps/2$, then $\sup_{f \in \cf}\int_{A}\norm{f}^{p} d\mu \le \eps$.
(2): Let $\eps > 0$, then there exists $\delta > 0$ such that for any $A \in \cm$ with $\mu(A) < \delta$, $\sup_{f \in \cf}\int_{A} \norm{f}^{p} d\mu < \eps$. By Markov’s inequality,
Thus for sufficiently large $M$, $\sup_{f \in \cf}\mu(\bracs{\norm{f}_E \ge M}) < \delta$, and
$\square$
Theorem 15.4.3 (Vitali Convergence Theorem).label Let $(X, \cm, \mu)$ be a measure space, $p \in [1, \infty)$, $E$ be a normed vector space over $K \in \RC$, and $\fF \subset 2^{L^p(X; E)}$ be a filter, then $\fF$ is Cauchy in $L^{p}(X; E)$ if and only if:
- (M)
$\fF$ is locally Cauchy in measure.
- (UI)
For each $\eps > 0$, there exists $M \ge 0$ and $F \in \fF$ such that
\[\sup_{f \in F}\int_{\bracs{\norm{f}_E \ge M}}\norm{f}_{E}^{p} d\mu < \eps\] - (T)
For each $\eps > 0$, there exists $A \in \cm$ and $F \in \fF$ with $\mu(A) < \infty$ and $\sup_{f \in F}\int_{A^c}\norm{f}_{E}^{p} < \eps$.
Proof. ($L^{p}$) $\Rightarrow$ (M): By Markov’s inequality.
($L^{p}$) $\Rightarrow$ (UI): Let $F \in \fF$ such that for each $f, g \in F$, $\norm{f - g}_{L^p(X; E)}< \eps$. Fix $f \in F$, then by the Dominated Convergence Theorem, there exists $M > 0$ such that $\int_{\bracs{\norm{f}_E \ge M}}\norm{f}_{E}^{p} d\mu < \eps$. For any $g \in F$,
so by Lemma 15.2.2,
Since $\bracs{\norm{g}_E \ge 2M, \norm{f}_E \le M}\subset \bracs{\norm{f - g}_E \ge M}$, by Markov’s inequality,
Therefore
($L^{p}$) $\Rightarrow$ (T): Let $F \in \fF$ such that for each $f, g \in F$, $\norm{f - g}_{L^p(X; E)}< \eps$. Fix $f \in F$, then by the Dominated Convergence Theorem, there exists $A \in \cm$ such that $\mu(A) < \infty$ and $\norm{\one_{A^c}f}_{L^p(X; E)}< \eps$. In which case, for any $g \in F$,
(M) + (UI) + (T) $\Rightarrow$ ($L^{p}$): Let $\eps > 0$. By (T), there exists $A \in \cm$ and $F_{1} \in \fF$ with $\mu(A) < \infty$ and $\sup_{f \in F_1}\int_{A^c}\norm{f}_{E}^{p} < \eps^{p}$. Thus for every $f, g \in F_{1}$,
By (UI), there exists $M > 0$ and $F_{2} \in \fF$ with $F_{2} \subset F_{1}$ such that
Assume without loss of generality that $\mu(A) > 0$ and let $\delta = \eps\mu(A)^{-1/p}$. By (M), there exists $F_{3} \in \fF$ with $F_{3} \subset F_{2}$, such that for any $f, g \in F_{3}$,
In which case,
then for any $f, g \in F_{3}$,
Now,
Similarly, $\normn{\one_{A \cap \bracsn{\norm{f - g}_E \ge \delta}}g}_{L^p(X; E)}\le 3\eps/2$. Thus
Therefore for any $f, g \in F_{3}$, $\norm{f - g}_{L^p(X; E)}\le 6 \eps$, so $\fF$ is Cauchy in $L^{p}(X; E)$.$\square$
Corollary 15.4.4 (Dominated Convergence Theorem (In Measure)).label Let $(X, \cm, \mu)$ be a measure space, $p \in [1, \infty)$, $E$ be a normed vector space over $K \in \RC$, $\fF \subset 2^{L^p(X; E)}$ be a filter, and $g, h \in L^{p}(X; \real)$ such that:
- (M)
$\fF \to g$ locally in measure.
- (D)
There exists $F \in \fF$ such that $|f| \le h$ for all $f \in F$.
then $\fF \to f$ in $L^{p}(X; E)$. In particular, if $p = 1$, then
Proof. Since (D) implies (UI) and (T) of the Vitali Convergence Theorem, the result follows from the Vitali Convergence Theorem.$\square$
Lemma 15.4.5 (Scheffé).label Let $(X, \cm, \mu)$ be a measure space, $p \in [1, \infty)$, $E$ be a normed vector space over $K \in \RC$, $\fF \subset 2^{L^p(X; E)}$ be a filter, and $g \in L^{p}(X; E)$, then $\fF \to g$ in $L^{p}(X; E)$ if and only if:
- (M)
$\fF \to g$ locally in measure.
- (N)
$\lim_{f, \fF}\norm{f}_{L^p(X; E)}= \norm{g}_{L^p(X; E)}$.
Proof. It is sufficient to show conditions (UI) and (T) of the Vitali Convergence Theorem.
(T): Let $\eps > 0$. By (N), there exists $F_{1} \in \fF$ such that $|\norm{f}_{L^p(X; E)}^{p} - \norm{g}_{L^p(X; E)}^{p}| < \eps$ for all $f \in F_{1}$. By the Dominated Convergence Theorem, there exists $A \in \cm$ with $\mu(A) < \infty$ such that:
- (i)
$\int_{A^c}\norm{g}_{E}^{p} < \eps$.
Since $\norm{g}_{E}^{p} d\mu \ll \mu$, by Proposition 22.4.3, there exists $\delta > 0$ such that:
- (ii)
For each $B \in \cm$ with $\mu(B) < \delta$, $\int_{B}\norm{g}_{E}^{p} d\mu < \eps$.
- (iii)
$\int_{A}[(\norm{g}_{E} - \delta) \vee 0]^{p} d\mu > \int_{A} \norm{g}_{E}^{p} d\mu - \eps$.
By (M), there exists $F_{2} \in \fF$ with $F_{2} \subset F_{1}$ such that for each $f \in F_{2}$, $\mu(A \cap \bracs{\norm{f - g}_E > \delta}) < \delta$. In which case, for any $f \in F_{2}$,
By (iii),
and by (ii), $\int_{A} \norm{f}_{E}^{p} d\mu \ge \int_{A}\norm{g}_{E}^{p} d\mu - 2\eps$. Finally, by (i),
and $\int_{A^c}\norm{f}_{E}^{p} d\mu \le 4\eps$.
(UI): Let $\eps > 0$. By (N) and (T), there exists $F_{1} \in \fF$ and $A \in \cm$ with $\mu(A) < \infty$ such that for every $f \in F_{1}$,
- (i)
$|\norm{f}_{L^p(X; E)}^{p} - \norm{g}_{L^p(X; E)}^{p}| < \eps$.
- (ii)
$\int_{A^c}\norm{f}_{E}^{p} d\mu, \int_{A^c}\norm{g}_{E}^{p} d\mu < \eps$.
By (i) and (ii),
- (iii)
$\abs{\int_{A}\norm{f}_E^p d\mu - \int_{A}\norm{g}_E^p}d\mu \le 3\eps$.
Since $\norm{g}_{E}^{p} d\mu \ll \mu$, by Proposition 22.4.3, there exists $\delta > 0$ such that:
- (iv)
For each $B \in \cm$ with $\mu(B) < \delta$, $\int_{B}\norm{g}_{E}^{p} d\mu < \eps$.
- (v)
$\int_{A}[(\norm{g}_{E} - \delta) \vee 0]^{p} d\mu > \int_{A} \norm{g}_{E}^{p} d\mu - \eps$.
By (M), there exists $F_{2} \in \fF$ with $F_{2} \subset F_{1}$ such that for every $f \in F_{2}$,
- (vi)
$\mu(A \cap \bracs{\norm{f - g}_E > \delta}) < \delta$.
Let $B \in \cm$ with $B \subset A$ and $\mu(B) < \delta$, then for any $f \in F_{2}$,
By (vi) and (iv), $\int_{A \cap \bracs{\norm{f - g}_E > \delta}}\norm{g}_{E}^{p} d\mu < \eps$, so
By (v),
Since $\mu(B) < \delta$, by (iv),
and by (iii),
so $\int_{B}\norm{f}_{E}^{p} d\mu \le 6\eps$ for all $B \in \cm$ with $B \subset A$ and $\mu(B) < \delta$.
Finally, by (i) and Markov’s Inequality, there exists $M \ge 0$ such that $\mu\bracs{\norm{f}_E \ge M}< \delta$ for all $f \in F_{2}$. Therefore for any $f \in F_{2}$,
$\square$
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