20.1 Radon Measures

Definition 20.1.1 (Radon Measure).label Let $X$ be a LCH space and $\mu: \cb_{X} \to [0, \infty]$ be a Borel measure, then $\mu$ is a Radon measure if:

  1. (R1)

    For any $K \subset X$ compact, $\mu(K) < \infty$.

  2. (R2)

    $\mu$ is outer regular on all Borel sets.

  3. (R3’)

    $\mu$ is inner regular on all open sets.

Proposition 20.1.2.label Let $X$ be a LCH space and $\mu: \cb_{X} \to [0, \infty]$ be a Radon measure, then

  1. (1)

    For any $U \subset X$ open,

    \[\mu(U) = \sup\bracs{\int f d\mu \bigg | f \in C_c(X; [0, 1]), \supp{f} \subset U}\]

  2. (2)

    For any $K \subset X$ compact,

    \[\mu(K) = \inf\bracs{\int f d\mu \bigg | f \in C_c(X; [0, 1]), f \ge \one_K}\]

Proof. (1): Let $U \subset X$ be open. By Urysohn’s lemma, for any $K \subset U$ compact, there exists $f_{K} \in C_{c}(X; [0, 1])$ such that $f_{K}|_{K} = 1$ and $\supp{f_K}\subset U$. In which case,

\[\mu(K) \le \int f_{K} d\mu \le \mu(U)\]

By (R3’),

\[\mu(U) = \sup_{K \subset U \text{ compact}}\mu(K) \le \sup_{K \subset U \text{ compact}}\int f_{K} d\mu \le \mu(U)\]

(2): Let $K \subset X$ be compact and $U \in \cn^{o}(K)$. By Urysohn’s lemma, there exists $f_{U} \in C_{c}(X; [0, 1])$ such that $f_{U}|_{K} = 1$ and $\supp{f_U}\subset U$. In which case,

\[\mu(K) \le \int f_{U} d\mu \le \mu(U)\]

By (R2),

\[\mu(K) = \inf_{U \in \cn^o(K)}\mu(U) \ge \inf_{U \in \cn^o(K)}\int f_{U} d\mu \ge \mu(K)\]

$\square$

Proposition 20.1.3 ([Proposition 7.5, Fol99]).label Let $X$ be a LCH space and $\mu: \cb_{X} \to [0, \infty]$ be a Radon measure, then

  1. (1)

    $\mu$ is inner regular on all its $\sigma$-finite sets.

  2. (2)

    If $X$ is $\sigma$-compact or $\mu$ is $\sigma$-finite, then $\mu$ is regular.

Proof. (1): Let $E \in \cb_{X}$ with $\mu(E) < \infty$ and $\eps > 0$, then there exists

  • $U \in \cn^{o}(E)$ with $\mu(U \setminus E) < \eps/2$.

  • $K \subset U$ compact with $\mu(K) > \mu(U) - \eps/2$.

  • $V \in \cn^{o}(U \setminus E)$ with $\mu(V) < \eps/2$.

In which case, $K \setminus V \subset E$ is compact with

\[\mu(K \setminus V) \ge \mu(K) - \mu(V) \ge \mu(U) - \eps/2 - \eps/2 \ge \mu(E) - \eps\]

so $\mu$ is inner regular on $E$.

Now suppose that $E$ is $\sigma$-finite, then there exists $\seq{E_n}\subset \cb_{X}$ with $\mu(E_{n}) < \infty$ for each $n \in \natp$ and $E = \bigsqcup_{n \in \natp}E_{n} = E$. Let $N \in \natp$ and $\seqf{K_n}\subset 2^{X}$ compact with $K_{n} \subset E_{n}$ for each $n \in \natp$, then $\bigcup_{n = 1}^{N} K_{n} \subset E$ is compact. Hence

\[\sup_{\substack{K \subset E \\ \text{compact}}}\mu(K) \ge \sum_{n = 1}^{N}\sup_{\substack{K_n \subset E_n \\ \text{compact}}}\mu(K_{n}) = \sum_{n = 1}^{N} \mu(E_{n})\]

As the above holds for all $N \in \natp$,

\[\sup_{\substack{K \subset E \\ \text{compact}}}\mu(K) \ge \sum_{n \in \natp}\mu(E_{n}) = \mu(E)\]

$\square$

Proposition 20.1.4 ([Proposition 7.7, Fol99]).label Let $X$ be a LCH space, $\mu: \cb_{X} \to [0, \infty]$ be a $\sigma$-finite Radon measure, and $E \in \cb_{X}$, then

  1. (1)

    For every $\eps > 0$, there exists $U \in \cn^{o}(E)$ and $F \subset E$ closed such that $\mu(U \setminus F) < \eps$.

  2. (2)

    There exists a $F_{\sigma}$ set $A$ and a $G_{\delta}$ set $B$ such that $A \subset E \subset B$ and $\mu(B \setminus A) = 0$.

Proof. (1): Let $\seq{E_n}\subset \cb_{X}$ such that $\mu(E_{n}) < \infty$. By outer regularity, there exists $\seq{U_n}$ open such that $U_{n} \in \cn^{o}(E_{n})$ and $\mu(U_{n}) < \mu(E_{n}) + \eps/2^{n}$ for all $n \in \natp$. In which case,

\[\mu\paren{\bigcup_{n \in \natp}U_n \setminus E}\le \sum_{n \in \natp}\mu(U_{n} \setminus E_{n}) < \eps\]

so $U = \bigcup_{n \in \natp}U_{n}$ is the desired open set.

Applying the above result to $E^{c}$, there exists $V \in \cn^{o}(E^{c})$ such that $\mu(V \setminus E^{c}) < \eps$. Let $F = V^{c}$, then $F \subset E$ is closed and

\[\mu(E \setminus F) = \mu(E \cap F^{c}) = \mu(E \cap V) = \mu(V \setminus E^{c}) < \eps\]

$\square$

Proposition 20.1.5.label Let $X$ be a LCH space and $\mu: \cb_{X} \to [0, \infty]$ be a Borel measure such that:

  1. (a)

    For any $U \subset X$ open, $U$ is $\sigma$-compact.

  2. (b)

    For any $K \subset X$ compact, $\mu(K) < \infty$.

then $\mu$ is a regular measure on $X$.

Proof. By assumption (b), $f \mapsto \int f d\mu$ is a positive linear functional on $C_{c}(X; \real)$. By the Riesz Representation Theorem, there exists a Radon measure $\nu: \cb_{X} \to [0, \infty]$ such that for any $f \in C_{c}(X; \real)$, $\int f d\mu = \int f d\mu$.

Let $U \subset X$ be open, then by Proposition 20.1.2,

\[\nu(U) = \sup_{\substack{f \in C_c(X; [0, 1]) \\ f \le \one_U}}\int f d\nu = \sup_{\substack{f \in C_c(X; [0, 1]) \\ f \le \one_U}}\int f d\mu \le \mu(U)\]

By assumption (a), there exists $\seq{K_n}\subset 2^{X}$ compact such that $K_{n} \upto U$. By Urysohn’s lemma, there exists $\seq{f_n}\subset C_{c}(X; [0, 1])$ such that $\one_{K_n}\le f_{n} \le \one_{U}$ for all $n \in \natp$, and $f_{n} \upto f$ pointwise. Using the Monotone Convergence Theorem,

\[\mu(U) = \limv{n}\int f_{n} d\mu \le \sup_{\substack{f \in C_c(X; [0, 1]) \\ f \le \one_U}}\int f d\mu = \nu(U)\]

Therefore $\mu(U) = \nu(U)$.

Now let $E \in \cb_{X}$ be arbitrary and $\eps > 0$. By Proposition 20.1.4, there exists $U \in \cn^{o}(E)$ and $V \subset E$ closed such that $\nu(U \setminus E), \nu(E \setminus V) < \eps$. In which case, since $U \setminus V$ is open,

\[\mu(U \setminus E) \le \mu(U \setminus V) = \nu(U \setminus V) < \eps\]

so $\mu(U) = \mu(U \setminus E) + \mu(E) \le \mu(E) + \eps$. Therefore

\[\mu(E) = \inf_{U \in \cn^o(E)}\mu(U) = \inf_{U \in \cn^o(E)}\nu(U) = \nu(E)\]

and $\mu = \nu$.

Since $X$ is $\sigma$-compact, $\mu$ is $\sigma$-finite, so $\mu$ is regular by Proposition 20.1.3.$\square$

Lemma 20.1.6.label Let $X$ be a LCH space, $Y$ be a compact Hausdorff space, $\mu$ be a finite Radon measure on $X \times Y$, and $\nu$ be a measure on $X$. If for each $A \in \cb_{X}$, $\nu(A) \le \mu(A \times Y)$, then $\nu$ is also a Radon measure.

Proof. Let $A \in \cb_{X}$ and $\eps > 0$. By outer regularity of $\mu$, there exists $U \in \cn_{X \times Y}(A \times Y)$ such that $\mu(U \setminus (A \times Y)) < \eps$. By the Tube Lemma, there exists $V \in \cn_{X}(A)$ such that $V \times Y \subset U$. In which case,

\[\nu(V \setminus A) \le \mu((V \setminus A) \times Y) \le \mu(U \setminus (A \times Y)) < \eps\]

so $\nu$ is outer regular on $A$.

On the other hand, by Proposition 20.1.3, there exists $K \subset A \times Y$ compact such that $\mu((A \times Y) \setminus K) < \eps$. By Proposition 5.16.2, $\pi_{1}(K) \subset A$ is also compact. Thus

\[\nu(A \setminus \pi_{1}(K)) \le \mu((A \setminus \pi_{1}(K)) \times Y) \le \mu((A \times Y) \setminus K)\]

so $\nu$ is inner regular on $A$.$\square$

Proposition 20.1.7.label Let $X$ be a LCH space, $\mu: \cb_{X} \to [0, \infty]$ be a Radon measure, $E$ be a normed vector space, and $p \in [1, \infty)$, then $C_{c}(X; E)$ is dense in $L^{p}(X; E)$.

Proof. By Proposition 14.1.9, $\Sigma(X, \cm; E) \cap L^{p}(X; E)$ is dense in $L^{p}(X; E)$. Using linearity, it is sufficient to approximate indicator functions of Borel sets with finite measure.

Let $A \in \cb_{X}$ and $\eps > 0$. By Proposition 20.1.3, there exists $U \in \cn^{o}(A)$ and $K \subset A$ compact such that $\mu(U \setminus A), \mu(A \setminus K) < \eps/2$. By Urysohn’s lemma, there exists $f \in C_{c}(X; [0, 1])$ such that $f|_{K} = 1$ and $\supp{f}\subset U$. In which case, for any $y \in E$,

\[\norm{x \cdot \one_A - x \cdot f}_{L^p(X; E)}\le \norm{x}_{E} \mu(\bracs{f \ne \one_A})^{1/p}\le \norm{x}_{E}\mu(U \setminus K)^{1/p}< \eps^{1/p}\norm{x}_{E}\]

$\square$

Theorem 20.1.8 (Lusin).label Let $X$ be a LCH space, $\mu$ be a Radon measure on $X$, $E$ be a normed vector space, and $f: X \to E$ be a measurable function with $\mu\bracs{f \ne 0}< \infty$, then for any $\eps > 0$,

  1. (1)

    There exists $A \subset \bracs{f \ne 0}$ such that $f|_{A}$ is continuous and $\mu(\bracs{f \ne 0}\setminus A) < \eps$

  2. (2)

    If $E = \complex$, then there exists $\phi \in C_{c}(X; E)$ such that $\mu\bracs{f \ne \phi}< \eps$.

  3. (3)

    If $E = \complex$ and $f$ is bounded, then $\phi$ can be taken such that $\norm{\phi}_{u} \le \norm{f}_{u}$.

Proof [Theorem 7.10, Fol99]. First assume that $f$ is bounded.

(1, bounded): If $f$ is bounded, then $f \in L^{1}(X; E)$. By Proposition 20.1.7, there exists $\seq{\phi_n}\subset C_{c}(X)$ such that $\phi_{n} \to f$ in $L^{1}(\mu)$. Since $\phi_{n} \to f$ in $L^{1}(\mu)$, $\phi_{n} \to f$ in measure by Proposition 14.1.12. By taking a subsequence using 21.6.4, assume without loss of generality that $\phi_{n} \to f$ almost everywhere.

By Egoroff’s Theorem, there exists $A \subset \bracs{f \ne 0}$ such that $\phi_{n} \to f$ uniformly and $\mu(\bracs{f \ne 0}\setminus A) < \eps/3$. By Proposition 20.1.3, there exists $K \subset A$ compact such that $\mu(A \setminus K) < \eps/3$.

Let $\phi_{0} = \lim_{n \to \infty}\phi_{n}$ on $K$, then $\phi_{0} \in C(K; E)$ by Proposition 7.2.2, $\phi_{0} = f$ almost everywhere on $K$, and $\mu(\bracs{f \ne 0}\setminus K) < \eps$.

(2, bounded): By outer regularity, there exists $U \in \cn^{o}(\bracs{f \ne 0})$ such that $\mu(U \setminus \bracs{f \ne 0}) < \eps/3$.

By the Tietze Extension Theorem, there exists $\phi \in C_{c}(X; \complex)$ such that $\phi|_{K} = \phi_{0}$ and $\supp{\phi}\subset U$. In which case,

\[\mu\bracs{\phi \ne f}\le \underbrace{\mu(\bracs{f \ne 0} \setminus K)}_{< 2\eps/3}+ \underbrace{\mu(U \setminus \bracs{f \ne 0})}_{< \eps/3}< \eps\]

(3): Let

\[\psi: \complex \to \complex \quad z \mapsto \begin{cases}z&|z| \le \norm{f}_{u} \\ z\norm{f}_{u}/|z|&|z| > \norm{f}_{u}\end{cases}\]

then $\psi$ is continuous with $\bracs{\phi = f}= \bracs{\psi \circ \phi = f}$ and $\norm{\psi \circ \phi}_{u} \le \norm{f}_{u}$.

Now assume that $f$ is arbitrary.

(1, unbounded): Since $\mu\bracs{f \ne 0}< \infty$, there exists $\alpha > 0$ such that $\mu\bracs{|f| > \alpha}< \eps/2$. Let $g \in L^{\infty}(X; E)$ such that $g = f$ on $\bracs{|f| \le \alpha}$. By (1) applied to $g$, there exists $A \subset \bracs{|f| \le \alpha}$ such that $f|_{A}$ is continuous and $\mu(\bracs{|f| \le \alpha}\setminus A) < \eps/2$. In which case, $\mu(\bracs{f \ne 0}\setminus A) < \eps$, as desired.

(2, unbounded): By (1) applied to $g$, there exists $\phi \in C_{c}(X; \complex)$ such that $\mu\bracs{\phi \ne g}< \eps/2$, and $\mu(\bracs{\phi \ne f}) < \eps$.$\square$

Proposition 20.1.9 (Monotone Convergence Theorem for Lower Semicontinuous Functions).label Let $X$ be a LCH space, $\net{f}$ and $f: X \to [0, \infty]$ be non-negative lower semicontinuous functions such that $f_{\alpha} \upto f$, then for any Radon measure $\mu$ on $X$,

\[\int f d\mu = \sup_{\alpha \in A}\int f_{\alpha} d\mu\]

Proof [Proposition 7.12, Fol99]. Assume without loss of generality that $\int f d\mu < \infty$. By Proposition 5.22.2, $f$ is Borel measurable, so $f \ge f_{\alpha}$ for all $\alpha \in A$ implies that

\[\int f d\mu \ge \sup_{\alpha \in A}\int f_{\alpha} d\mu\]

Let $\phi \in \Sigma^{+}(X, \cm)$ with $0 \le \phi < f$ and $\beta < \int \phi d\mu$. Let $\seqf{a_j}\subset (0, \infty)$ and $\seqf{E_j}\subset \cb_{X}$ such that $\phi = \sum_{j = 1}^{n} a_{j} \one_{E_j}$. Since $\int \phi d\mu < \infty$, for each $1 \le j \le n$, $\mu(E_{j}) < \infty$ by Markov’s Inequality. By Proposition 20.1.3, there exists compact sets $\seqf{K_j}\subset 2^{X}$ such that $K_{j} \subset E_{j}$ for each $1 \le j \le n$ and $\int \sum_{j = 1}^{n} a_{j} \one_{K_j}d\mu > \beta$.

Let $\psi = \sum_{j = 1}^{n} a_{j} \one_{K_j}$ and $K = \bigcup_{j = 1}^{n} K_{j}$, then $K$ is compact by Proposition 5.16.2 and $-\psi$ is lower semicontinuous by Proposition 5.22.2.

For any $x_{0} \in K$, since $f_{\alpha} \upto f$ and $\psi \le \phi < f$, there exists $\alpha(x_{0}) \in A$ such that $f_{\alpha(x_0)}(x_{0}) > \psi(x_{0})$. By Proposition 5.22.2, $f_{\alpha(x_0)}- \psi$ is lower semicontinuous, so

\[\bracsn{\bracsn{f_{\alpha(x_0)} > \psi}|x_0 \in K}\]

is an open cover of $K$. Let $\bracs{x_j}_{1}^{N} \subset K$ such that $K \subset \bigcup_{j = 1}^{N} \bracsn{f_{\alpha(x_j)} > \psi}$. Since $f_{\alpha} \upto f$, there exists $\alpha_{0} \in A$ such that

\[f_{\alpha_0}\ge \max_{1 \le j \le N}f_{\alpha(x_j)}\ge \psi\]

so

\[\int f_{\alpha_0}d\mu \ge \int \psi d\mu \ge \beta\]

As such an $\alpha_{0} \in A$ exists for all $\beta < \int \phi d\mu$,

\[\int \phi d\mu \le \sup_{\alpha \in A}\int f_{\alpha} d\mu\]

Since the above holds for all $\phi \in \Sigma^{+}(X, \cm)$ with $0 \le \phi < f$,

\[\int f d\mu \le \sup_{\alpha \in A}\int f_{\alpha} d\mu\]

by Lemma 22.2.3.$\square$