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\frfilename{mt251.tex}
\versiondate{10.11.06}
\copyrightdate{2000}
\def\chaptername{Product measures}
\def\sectionname{Finite products}
\newsection{251}
The first construction to set up is the product of a pair of measure
spaces. It turns out that there are already substantial technical
difficulties in the way of finding a canonical universally applicable
method. I find myself therefore describing two related, but distinct,
constructions, the `primitive' and `c.l.d.' product measures (251C,
251F). After listing the fundamental properties of the c.l.d\ product
measure (251I-251J), I work through the identification of the product of
Lebesgue measure with itself (251N) and a fairly thorough discussion of
subspaces (251O-251S).
\vleader{48pt}{251A}{Definition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$
be two
measure spaces. For $A\subseteq X\times Y$ set
\Centerline{$\theta A=\inf\{\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n:
E_n\in\Sigma,\,F_n\in\Tau\,\Forall \,n\in\Bbb N,
\,A\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n\}$.}
\cmmnt{\medskip
\noindent{\bf Remark} In the products $\mu E_n\cdot\nu F_n$,
$0\cdot\infty$ is to be taken as $0$, as in \S135.
}
\leader{251B}{Lemma} In the context of 251A, $\theta$ is an outer
measure on $X\times Y$.
\proof{{\bf (a)} Setting $E_n=F_n=\emptyset$ for every
$n\in\Bbb N$, we see that $\theta\emptyset = 0$.
\medskip
{\bf (b)} If $A\subseteq B\subseteq X\times Y$, then whenever
$B\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$ we shall have
$A\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$; so $\theta A\le\theta B$.
\medskip
{\bf (c)} Let $\sequencen{A_n}$ be a sequence of subsets of $X\times Y$,
with union $A$.
For any $\epsilon>0$, we may choose, for each $n\in\Bbb N$, sequences
$\sequence{m}{E_{nm}}$ in $\Sigma$ and $\sequence{m}{F_{nm}}$ in $\Tau$
such that $A_n\subseteq\bigcup_{m\in\Bbb N}E_{nm}\times F_{nm}$ and
$\sum_{m=0}^{\infty}\mu E_{nm}\cdot\nu F_{nm}
\le\theta A_n+2^{-n}\epsilon$.
Because $\Bbb N\times\Bbb N$ is countable, we have a bijection
$k\mapsto(n_k,m_k):\Bbb N\to\Bbb N\times\Bbb N$, and now
\Centerline{$A\subseteq\bigcup_{n,m\in\Bbb N}E_{nm}\times F_{nm}
=\bigcup_{k\in\Bbb N}E_{n_km_k}\times F_{n_km_k}$,}
\noindent so that
$$\eqalign{\theta A&\le\sum_{k=0}^{\infty}
\mu E_{n_km_k}\cdot\nu F_{n_km_k}
=\sum_{n=0}^{\infty}\sum_{m=0}^{\infty}\mu E_{nm}\cdot\nu F_{nm}\cr
&\le\sum_{n=0}^{\infty}\theta A_n+2^{-n}\epsilon
=2\epsilon+\sum_{n=0}^{\infty}\theta A_n.\cr}$$
\noindent As $\epsilon$ is arbitrary, $\theta
A\le\sum_{n=0}^{\infty}\theta A_n$.
As $\sequencen{A_n}$ is arbitrary, $\theta$ is an outer measure.
}
\leader{251C}{Definition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces. By the {\bf primitive product measure} on $X\times Y$
I shall mean the measure $\lambda_0$ derived by \Caratheodory's
method\cmmnt{ (113C)} from the outer measure $\theta$ defined in 251A.
\cmmnt{\medskip
\noindent{\bf Remark}
I ought to point out that there is no general agreement on what
`the' product measure on $X\times Y$ should be. Indeed in 251F below I
will introduce an alternative one, and in the notes to this section I
will mention a third.
}
\leader{251D}{Definition}\cmmnt{ It is convenient to have a name for a
natural construction for $\sigma$-algebras.} If $X$ and $Y$ are sets
with $\sigma$-algebras $\Sigma\subseteq\Cal PX$ and
$\Tau\subseteq\Cal PY$, I will write $\Sigma\tensorhat\Tau$ for the
$\sigma$-algebra of subsets of $X\times Y$ generated by
$\{E\times F:E\in\Sigma,\,F\in\Tau\}$.
\leader{251E}{Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces; let $\lambda_0$ be the primitive product measure on
$X\times Y$, and $\Lambda$ its domain.
Then $\Sigma\tensorhat\Tau\subseteq\Lambda$ and
$\lambda_0(E\times F)=\mu E\cdot\nu F$ for all $E\in\Sigma$
and $F\in\Tau$.
\proof{{\bf (a)} Suppose that $E\in\Sigma$ and $A\subseteq X\times Y$.
For any $\epsilon>0$, there are sequences $\sequencen{E_n}$ in $\Sigma$
and $\sequencen{F_n}$ in $\Tau$ such that
$A\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$ and
$\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n\le\theta A+\epsilon$. Now
\Centerline{$A\cap(E\times Y)
\subseteq\bigcup_{n\in\Bbb N}(E_n\cap E)\times F_n$,
\quad$A\setminus(E\times Y)
\subseteq\bigcup_{n\in\Bbb N}(E_n\setminus E)\times F_n$,}
\noindent so
$$\eqalign{\theta(A\cap(E\times Y))+\theta(A\setminus(E\times Y))
&\le\sum_{n=0}^{\infty}\mu(E_n\cap E)\cdot\nu F_n
+\sum_{n=0}^{\infty}\mu(E_n\setminus E)\cdot\nu F_n\cr
&=\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n
\le\theta A+\epsilon.\cr}$$
\noindent As $\epsilon$ is arbitrary,
$\theta(A\cap(E\times Y))+\theta(A\setminus(E\times Y))\le\theta A$.
And this is enough to ensure that $E\times Y\in\Lambda$ (see 113D).
\medskip
{\bf (b)} Similarly, $X\times F\in\Lambda$ for every $F\in\Tau$,
so $E\times F=(E\times Y)\cap(X\times F)\in\Lambda$ for every
$E\in\Sigma$, $F\in\Tau$.
Because $\Lambda$ is a $\sigma$-algebra, it must include the smallest
$\sigma$-algebra containing all the products $E\times F$, that is,
$\Lambda\supseteq\Sigma\tensorhat\Tau$.
\medskip
{\bf (c)} Take $E\in\Sigma$, $F\in\Tau$. We know that $E\times
F\in\Lambda$; setting $E_0=E$, $F_0=F$, $E_n=F_n=\emptyset$ for $n\ge
1$ in the definition of $\theta$, we have
\Centerline{$\lambda_0(E\times F)
=\theta(E\times F)\le\mu E\cdot\nu F$.}
We have come to the central idea of the construction. In fact
$\theta(E\times F)=\mu E\cdot\nu F$. \Prf\ Suppose that
$E\times F\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$ where
$E_n\in\Sigma$ and $F_n\in\Tau$ for every $n$. Set
$u=\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n$. If $u=\infty$ or $\mu E=0$
or $\nu F=0$ then of course $\mu E\cdot\nu F\le u$. Otherwise, set
\Centerline{$I=\{n:n\in\Bbb N,\,\mu E_n=0\}$,
\quad$J=\{n:n\in\Bbb N,\,\nu F_n=0\}$,
\quad$K=\Bbb N\setminus(I\cup J)$,}
\Centerline{$E'=E\setminus\bigcup_{n\in I}E_n$,
\quad$F'=F\setminus\bigcup_{n\in J}F_n$.}
\noindent Then $\mu E'=\mu E$ and $\nu F'=\nu F$;
$E'\times F'\subseteq\bigcup_{n\in K}E_n\times F_n$; and for $n\in K$,
$\mu E_n<\infty$ and $\nu F_n<\infty$, since
$\mu E_n\cdot\nu F_n\le u<\infty$ and
neither $\mu E_n$ nor $\nu F_n$ is zero. Set
\Centerline{$f_n=\nu F_n\chi E_n:X\to\Bbb R$}
\noindent if $n\in K$, and $f_n=\tbf{0}:X\to\Bbb R$ if $n\in I\cup J$.
Then $f_n$ is a simple function and
$\int f_n=\nu F_n\mu E_n$ for $n\in K$, $0$ otherwise, so
\Centerline{$\sum_{n=0}^{\infty}$
$\textfont3=\twelveex\int f_n(x)\mu(dx)$
$=\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n
\le u$.}
\noindent By B.Levi's theorem (123A), applied to
$\sequencen{\sum_{k=0}^nf_k}$,
$g=\sum_{n=0}^{\infty}f_n$ is integrable and $\int g\,d\mu\le u$.
Write $E''$ for $\{x:x\in E',\,g(x)<\infty\}$, so that
$\mu E''=\mu E'=\mu E$. Now take any $x\in E''$ and set
$K_x=\{n:n\in K,\,x\in E_n\}$. Because
$E'\times F'\subseteq\bigcup_{n\in K}E_n\times F_n$,
$F'\subseteq\bigcup_{n\in K_x}F_n$ and
\Centerline{$\nu F=\nu F'\le\sum_{n\in K_x}\nu F_n
=\sum_{n=0}^{\infty}f_n(x)=g(x)$.}
\noindent Thus $g(x)\ge\nu F$ for every $x\in E''$. We are
supposing that $0<\mu E=\mu E''$ and $0<\nu F$, so we must have
$\nu F<\infty$, $\mu E''<\infty$. Now $g\ge\nu F\chi E''$, so
\Centerline{$\mu E\cdot\nu F=\mu E''\cdot\nu F
=\int\nu F\chi E''\le\int g\le u$
$=\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n$.}
\noindent As $\sequencen{E_n}$, $\sequencen{F_n}$ are arbitrary,
$\theta(E\times F)\ge\mu E\cdot\nu F$ and
$\theta(E\times F)=\mu E\cdot\nu F$.\ \Qed
Thus
\Centerline{$\lambda_0(E\times F)=\theta(E\times F)=\mu E\cdot\nu F$}
\noindent for all $E\in\Sigma$, $F\in\Tau$.
}%end of proof of 251E
\leaveitout{for (c), M.Burke offers:
$\chi E(x)\chi F(y)\le\sum_{n=0}^{\infty}\chi E_n(x)\chi F_n(y)$
by 135F-135G, integrating with respect to $y$, \query
$\chi E(x)\nu F\le\sum_{n=0}^{\infty}\chi E_n(x)\nu F_n$
and now
$\mu E\cdot\nu F\le\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n$.}
\leader{251F}{Definition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces, and $\lambda_0$ the primitive product
measure\cmmnt{ defined in 251C}.
By the {\bf c.l.d.\ product measure} on $X\times Y$ I shall mean the
function $\lambda:\dom\lambda_0\to[0,\infty]$ defined by setting
\Centerline{$\lambda W=\sup\{\lambda_0(W\cap(E\times F)):E\in\Sigma,\,
F\in\Tau,\,\mu E<\infty,\,\nu F<\infty\}$}
\noindent for $W\in\dom\lambda_0$.
\leader{251G}{Remark}\cmmnt{ I had better show at once
that} $\lambda$ is a
measure. \prooflet{\Prf\ Of course its domain $\Lambda=\dom\lambda_0$
is a $\sigma$-algebra,
and $\lambda\emptyset=\lambda_0\emptyset=0$. If $\sequencen{W_n}$ is a
disjoint sequence in $\Lambda$, then for any
$E\in\Sigma$, $F\in\Tau$ of finite measure
\Centerline{$\lambda_0(\bigcup_{n\in\Bbb N}W_n\cap(E\times F))
=\sum_{n=0}^{\infty}\lambda_0(W_n\cap(E\times F))
\le\sum_{n=0}^{\infty}\lambda W_n$,}
\noindent so
$\lambda(\bigcup_{n\in\Bbb N}W_n)\le\sum_{n=0}^{\infty}\lambda W_n$.
On the other hand, if
$a<\sum_{n=0}^{\infty}\lambda W_n$, then we can find $m\in\Bbb N$ and
$a_0,\ldots,a_m$ such that $a\le\sum_{n=0}^ma_n$ and $a_n<\lambda W_n$
for each $n\le m$; now there are $E_0,\ldots,E_m\in\Sigma$ and
$F_0,\ldots,F_m\in\Tau$, all of finite measure, such that
$a_n\le\lambda_0(W_n\cap(E_n\times F_n))$ for each $n$. Setting
$E=\bigcup_{n\le m}E_n$ and $F=\bigcup_{n\le m}F_n$, we have
$\mu E<\infty$ and $\nu F<\infty$, so
$$\eqalign{\lambda(\bigcup_{n\in\Bbb N}W_n)
&\ge\lambda_0(\bigcup_{n\in\Bbb N}W_n\cap(E\times F))
=\sum_{n=0}^{\infty}\lambda_0(W_n\cap(E\times F))\cr
&\ge\sum_{n=0}^m\lambda_0(W_n\cap(E_n\times F_n))
\ge\sum_{n=0}^ma_n
\ge a.\cr}$$
\noindent As $a$ is arbitrary, $\lambda(\bigcup_{n\in\Bbb
N}W_n)\ge\sum_{n=0}^{\infty}\lambda W_n$ and $\lambda(\bigcup_{n\in\Bbb
N}W_n)=\sum_{n=0}^{\infty}\lambda W_n$. As $\sequencen{W_n}$ is
arbitrary, $\lambda$ is a measure.\ \Qed}
\leader{251H}{}\cmmnt{ We need a simple property of the measure
$\lambda_0$.
\medskip
\noindent}{\bf Lemma} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be two
measure spaces; let $\lambda_0$ be the primitive product measure on
$X\times Y$, and $\Lambda$ its domain. If $H\subseteq X\times Y$ and
$H\cap(E\times F)\in\Lambda$ whenever
$\mu E<\infty$ and $\nu F<\infty$, then $H\in\Lambda$.
\proof{ Let $\theta$ be the outer measure described in 251A. Suppose
that $A\subseteq X\times Y$ and $\theta A<\infty$. Let
$\epsilon>0$. Let $\sequencen{E_n}$, $\sequencen{F_n}$ be sequences in
$\Sigma$, $\Tau$ respectively such that $A\subseteq\bigcup_{n\in\Bbb
N}E_n\times F_n$ and $\sum_{n=0}^{\infty}\mu E_n\cdot\nu
F_n\le\theta A+\epsilon$.
Now, for each $n$, the product of the measures $\mu E_n$, $\nu E_n$ is
finite, so either one is zero or
both are finite. If $\mu E_n=0$ or $\nu F_n=0$ then of course
\Centerline{$\mu E_n\cdot\nu F_n=0
=\theta((E_n\times F_n)\cap H)+\theta((E_n\times F_n)\setminus H)$.}
\noindent If $\mu E_n<\infty$ and $\nu F_n<\infty$ then
$$\eqalignno{\mu E_n\cdot\nu F_n
&=\lambda_0(E_n\times F_n)\cr
&=\lambda_0((E_n\times F_n)\cap H)+\lambda_0((E_n\times F_n)\setminus
H)\cr
&=\theta((E_n\times F_n)\cap H)+\theta((E_n\times F_n)\setminus H).\cr
}$$
\noindent Accordingly, because $\theta$ is an outer measure,
$$\eqalign{\theta(A\cap H)+\theta(A\setminus H)
&\le\sum_{n=0}^{\infty}\theta((E_n\times F_n)\cap H)
+\sum_{n=0}^{\infty}\theta((E_n\times F_n)\setminus H)\cr
&=\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n
\le\theta A+\epsilon.\cr}$$
\noindent As $\epsilon$ is arbitrary, $\theta(A\cap H)+\theta
(A\setminus H)\le\theta A$. As $A$ is arbitrary, $H\in\Lambda$.
}
\leader{251I}{}\cmmnt{ Now for the fundamental properties of the
c.l.d.\ product measure.
\medskip
\noindent}{\bf Theorem} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces; let $\lambda$ be the c.l.d.\ product measure on
$X\times Y$, and $\Lambda$ its domain. Then
(a) $\Sigma\tensorhat\Tau\subseteq\Lambda$ and
$\lambda(E\times F)=\mu E\cdot\nu F$ whenever $E\in\Sigma$, $F\in\Tau$
and $\mu E\cdot\nu F<\infty$;
(b) for every $W\in\Lambda$ there is a $V\in\Sigma\tensorhat\Tau$ such
that $V\subseteq W$ and $\lambda V=\lambda W$;
(c) $(X\times Y,\Lambda,\lambda)$ is complete and locally determined,
and in fact is the c.l.d.\ version of
$(X\times Y,\Lambda,\lambda_0)$\cmmnt{ as described in 213D-213E}; in
particular, $\lambda W=\lambda_0W$ whenever $\lambda_0W<\infty$;
(d) if $W\in\Lambda$ and $\lambda W>0$ then there are $E\in\Sigma$,
$F\in\Tau$ such that $\mu E<\infty$, $\nu F<\infty$ and
$\lambda(W\cap(E\times F))>0$;
(e) if $W\in\Lambda$ and $\lambda W<\infty$, then for every $\epsilon>0$
there are $E_0,\ldots,E_n\in\Sigma$, $F_0,\ldots,F_n\in\Tau$, all of
finite measure, such that
$\lambda(W\symmdiff\bigcup_{i\le n}(E_i\times F_i))\le\epsilon$.
\proof{ Take $\theta$ to be the outer measure of 251A and
$\lambda_0$ the primitive product measure of 251C. Set
$\Sigma^f=\{E:E\in\Sigma,\,\mu E<\infty\}$ and
$\Tau^f=\{F:F\in\Tau,\,\nu F<\infty\}$.
\medskip
{\bf (a)} By 251E, $\Sigma\tensorhat\Tau\subseteq\Lambda$. If
$E\in\Sigma$ and $F\in\Tau$ and $\mu E\cdot\nu F<\infty$, either
$\mu E\cdot\nu F=0$ and $\lambda(E\times F)=\lambda_0(E\times F)=0$ or
both $\mu E$ and $\nu F$ are finite and again
$\lambda(E\times F)=\lambda_0(E\times F)=\mu E\cdot\nu F$.
\medskip
{\bf (b)(i)} Take any $a<\lambda W$. Then there are $E\in\Sigma^f$,
$F\in\Tau^f$ such that $\lambda_0(W\cap(E\times F))>a$ (251F); now
$$\eqalign{\theta((E\times F)\setminus W)
&=\lambda_0((E\times F)\setminus W)\cr
&=\lambda_0(E\times F)-\lambda_0(W\cap(E\times F))
<\lambda_0(E\times F)-a.\cr}$$
\noindent Let $\sequencen{E_n}$, $\sequencen{F_n}$ be sequences in
$\Sigma$, $\Tau$ respectively such that $(E\times F)\setminus
W\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$ and $\sum_{n=0}^{\infty}\mu
E_n\cdot\nu F_n\le\lambda_0(E\times F)-a$. Consider
\Centerline{$V=(E\times
F)\setminus\bigcup_{n\in\Bbb N}E_n\times F_n\in\Sigma\tensorhat\Tau$;}
\noindent then $V\subseteq W$, and
$$\eqalignno{\lambda V=\lambda_0V
&=\lambda_0(E\times F)-\lambda_0((E\times F)\setminus V)\cr
&\ge\lambda_0(E\times F)-\lambda_0(\bigcup_{n\in\Bbb N}E_n\times F_n)\cr
\noalign{\noindent (because $(E\times F)\setminus
V\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$)}
&\ge\lambda_0(E\times F)-\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n
\ge a\cr}$$
\noindent (by the choice of the $E_n$, $F_n$).
\medskip
\quad{\bf (ii)} Thus for every $a<\lambda W$ there is a
$V\in\Sigma\tensorhat\Tau$ such that $V\subseteq W$ and $\lambda V\ge
a$. Now choose a sequence $\sequencen{a_n}$ strictly increasing to
$\lambda W$, and for each $a_n$ a corresponding $V_n$; then
$V=\bigcup_{n\in\Bbb N}V_n$ belongs to the $\sigma$-algebra
$\Sigma\tensorhat\Tau$, is included in $W$, and has measure at least
$\sup_{n\in\Bbb N}\lambda V_n$ and at most $\lambda W$; so $\lambda
V=\lambda W$, as required.
\medskip
{\bf (c)(i)} If $H\subseteq X\times Y$ is $\lambda$-negligible, there is
a $W\in\Lambda$ such that $H\subseteq W$ and $\lambda W=0$. If
$E\in\Sigma$, $F\in\Tau$ are of finite measure,
$\lambda_0(W\cap(E\times F))=0$; but $\lambda_0$, being derived from
the outer measure $\theta$
by \Caratheodory's method, is complete (212A), so
$H\cap(E\times F)\in\Lambda$ and $\lambda_0(H\cap(E\times F))=0$.
Because $E$ and $F$
are arbitrary, $H\in\Lambda$, by 251H. As $H$ is arbitrary, $\lambda$
is complete.
\medskip
\quad{\bf (ii)} If $W\in\Lambda$ and $\lambda W=\infty$, then there must
be $E\in\Sigma$, $F\in\Tau$ such that $\mu E<\infty$, $\nu F<\infty$ and
$\lambda_0(W\cap(E\times F))>0$; now
\Centerline{$0<\lambda(W\cap(E\times F))\le\mu E\cdot\nu F<\infty$.}
\noindent Thus $\lambda$ is semi-finite.
\medskip
\quad{\bf (iii)} If $H\subseteq X\times Y$ and $H\cap W\in\Lambda$
whenever $\lambda W<\infty$, then, in particular, $H\cap(E\times
F)\in\Lambda$ whenever $\mu E<\infty$ and $\nu F<\infty$; by 251H
again, $H\in\Lambda$. Thus $\lambda$ is locally determined.
\medskip
\quad{\bf (iv)} If $W\in\Lambda$ and $\lambda_0W<\infty$, then we have
sequences $\sequencen{E_n}$ in $\Sigma$, $\sequencen{F_n}$ in $\Tau$
such
that $W\subseteq\bigcup_{n\in\Bbb N}(E_n\times F_n)$ and
$\sum_{n=0}^{\infty}\mu E_n\cdot\nu F_n<\infty$. Set
\Centerline{$I=\{n:\mu E_n=\infty\}$,
\quad$J=\{n:\nu F_n=\infty\}$,
\quad$K=\Bbb N\setminus (I\cup J)$;}
\noindent then $\nu(\bigcup_{n\in I}F_n)=\mu(\bigcup_{n\in J}E_n)=0$, so
$\lambda_0(W\setminus W')=0$, where
\Centerline{$W'=W\cap\bigcup_{n\in K}(E_n\times F_n)
\supseteq W\setminus((\bigcup_{n\in J}E_n\times Y)
\cup(X\times\bigcup_{n\in I}F_n))$.}
\noindent Now set $E'_n=\bigcup_{i\in K,i\le n}E_i$, $F'_n=\bigcup_{i\in
K,i\le n}F_i$ for each $n$. We have $W'=\bigcup_{n\in\Bbb
N}W'\cap(E'_n\times F'_n)$, so
\Centerline{$\lambda
W\le\lambda_0W=\lambda_0W'=\lim_{n\to\infty}\lambda_0(W'\cap(E'_n\times
F'_n))
\le \lambda W'
\le\lambda W$,}
\noindent and $\lambda W=\lambda_0W$.
\medskip
\quad{\bf (v)} Following the terminology of 213D, let us write
\Centerline{$\tilde\Lambda=\{W:W\subseteq X\times Y,\,W\cap V\in\Lambda$
whenever $V\in\Lambda$ and $\lambda_0V<\infty\}$,}
\Centerline{$\tilde\lambda W
=\sup\{\lambda_0(W\cap V):V\in\Lambda$, $\lambda_0V<\infty\}$.}
\noindent Because $\lambda_0(E\times F)<\infty$ whenever $\mu E<\infty$
and $\nu F<\infty$, $\tilde\Lambda\subseteq\Lambda$ and
$\tilde\Lambda=\Lambda$.
Now for any $W\in\Lambda$ we have
$$\eqalignno{\tilde\lambda W
&=\sup\{\lambda_0(W\cap V):V\in\Lambda,\,\lambda_0V<\infty\}\cr
&\ge\sup\{\lambda_0(W\cap (E\times F)):E\in\Sigma^f,\,F\in\Tau^f\}\cr
&=\lambda W\cr
&\ge\sup\{\lambda(W\cap V):V\in\Lambda,\,\lambda_0V<\infty\}\cr
&=\sup\{\lambda_0(W\cap V):V\in\Lambda,\,\lambda_0V<\infty\},\cr}$$
\noindent using (iv) just above, so that $\lambda=\tilde\lambda$ is the
c.l.d.\ version of $\lambda_0$.
\medskip
{\bf (d)} If $W\in\Lambda$ and $\lambda W>0$, there are
$E\in\Sigma^f$ and $F\in\Tau^f$ such that
$\lambda(W\cap(E\times F))=\lambda_0(W\cap(E\times F))>0$.
\medskip
{\bf (e)} There are $E\in\Sigma^f$, $F\in\Tau^f$ such that
$\lambda_0(W\cap(E\times F))\ge\lambda W-\bover13\epsilon$; set
$V_1=W\cap (E\times F)$; then
\Centerline{$\lambda(W\setminus V_1)=\lambda W-\lambda V_1
=\lambda W-\lambda_0V_1\le\Bover13\epsilon$.}
\noindent There
are sequences $\sequencen{E'_n}$ in $\Sigma$, $\sequencen{F'_n}$ in
$\Tau$ such that $V_1\subseteq\bigcup_{n\in\Bbb
N}E'_n\times F'_n$ and $\sum_{n=0}^{\infty}\mu E'_n\cdot\nu
F'_n\le\lambda_0V_1+\bover13\epsilon$. Replacing $E'_n$, $F'_n$ by
$E'_n\cap E$, $F'_n\cap F$ if necessary, we may suppose that
$E'_n\in\Sigma^f$ and $F'_n\in\Tau^f$ for every $n$. Set
$V_2=\bigcup_{n\in\Bbb N}E'_n\times F'_n$; then
\Centerline{$\lambda(V_2\setminus V_1)
\le\lambda_0(V_2\setminus V_1)
\le\sum_{n=0}^{\infty}\mu E'_n\cdot\nu F'_n-\lambda_0V_1
\le\Bover13\epsilon$.}
\noindent Let $m\in\Bbb N$ be such that
$\sum_{n=m+1}^{\infty}\mu E'_n\cdot\nu F'_n\le\bover13\epsilon$, and set
\Centerline{$V=\bigcup_{n=0}^mE'_n\times F'_n$.}
\noindent Then
\Centerline{$\lambda(V_2\setminus V)
\le\sum_{n=m+1}^{\infty}\mu E'_n\cdot\nu F'_n\le\Bover13\epsilon$.}
Putting these together, we have
$W\symmdiff V\subseteq(W\setminus V_1)\cup(V_2\setminus
V_1)\cup(V_2\setminus V)$, so
\Centerline{$\lambda(W\symmdiff V)
\le\lambda(W\setminus V_1)+\lambda(V_2\setminus
V_1)+\lambda(V_2\setminus
V)\le\Bover13\epsilon+\Bover13\epsilon+\Bover13\epsilon=\epsilon$.}
\noindent And $V$ is of the required form.
}
\leader{251J}{Proposition} If $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ are
semi-finite measure spaces and $\lambda$ is the c.l.d.\ product measure
on $X\times Y$, then $\lambda(E\times F)=\mu E\cdot\nu F$ for all
$E\in\Sigma$, $F\in\Tau$.
\proof{ Setting $\Sigma^f=\{E:E\in\Sigma,\,\mu E<\infty\}$,
$\Tau^f=\{F:F\in\Tau,\,\nu F<\infty\}$, we have
$$\eqalign{\lambda(E\times F)
&=\sup\{\lambda_0((E\cap E_0)\times(F\cap F_0)):
E_0\in\Sigma^f,\,F_0\in\Tau^f\}\cr
&=\sup\{\mu(E\cap E_0)\cdot\nu(F\cap F_0)):
E_0\in\Sigma^f,\,F_0\in\Tau^f\}\cr
&=\sup\{\mu(E\cap E_0):E_0\in\Sigma^f\}\cdot
\sup\{\nu(F\cap F_0):F_0\in\Tau^f\}
=\mu E\cdot\nu F\cr}$$
\noindent (using 213A).
}%end of proof of 251J
\leader{251K}{$\sigma$-finite \dvrocolon{spaces}}\cmmnt{ Of course
most of the measure spaces we shall apply these results to are
$\sigma$-finite, and in this case there are some useful simplifications.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
$\sigma$-finite measure spaces. Then the c.l.d.\ product measure on
$X\times Y$ is equal to the primitive product measure, and is the
completion of its restriction to $\Sigma\tensorhat\Tau$; moreover, this
common product measure is $\sigma$-finite.
\proof{ Write $\lambda_0$, $\lambda$ for the primitive and c.l.d.\
product measures, as usual, and $\Lambda$ for their domain. Let
$\sequencen{E_n}$, $\sequencen{F_n}$ be non-decreasing sequences of sets
of finite measure covering $X$, $Y$ respectively (see 211D).
\medskip
{\bf (a)} For each $n\in\Bbb N$, $\lambda(E_n\times F_n)=\mu E_n\cdot\nu
F_n$ is finite, by 251Ia. Since $X\times Y=\bigcup_{n\in\Bbb
N}E_n\times F_n$, $\lambda$ is $\sigma$-finite.
\medskip
{\bf (b)} For any $W\in\Lambda$,
\Centerline{$\lambda_0W=\lim_{n\to\infty}\lambda_0(W\cap(E_n\times
F_n))=\lim_{n\to\infty}\lambda(W\cap(E_n\times F_n))=\lambda W$.}
\noindent So $\lambda=\lambda_0$.
\medskip
{\bf (c)} Write $\lambda_{\Cal B}$ for the restriction of
$\lambda=\lambda_0$ to $\Sigma\tensorhat\Tau$, and
$\hat\lambda_{\Cal B}$ for its completion.
\medskip
\quad{\bf (i)} Suppose that $W\in\dom\hat\lambda_{\Cal B}$. Then there
are $W'$, $W''\in\Sigma\tensorhat\Tau$ such that
$W'\subseteq W\subseteq W''$ and $\lambda_{\Cal B}(W''\setminus W')=0$
(212C). In this case,
$\lambda(W''\setminus W')=0$; as $\lambda$ is complete, $W\in\Lambda$
and
\Centerline{$\lambda W=\lambda W'=\lambda_{\Cal B}W'
=\hat\lambda_{\Cal B}W$.}
\noindent Thus $\lambda$ extends $\hat\lambda_{\Cal B}$.
\medskip
\quad{\bf (ii)} If $W\in\Lambda$, then there is a
$V\in\Sigma\tensorhat\Tau$ such that $V\subseteq W$ and
$\lambda(W\setminus V)=0$. \Prf\ For each $n\in\Bbb N$ there is a
$V_n\in\Sigma\tensorhat\Tau$ such that
$V_n\subseteq W\cap(E_n\times F_n)$ and
$\lambda V_n=\lambda(W\cap(E_n\times F_n))$ (251Ib). But as
$\lambda(E_n\times F_n)=\mu E_n\cdot\nu F_n$ is finite, this means that
$\lambda(W\cap(E_n\times F_n)\setminus V_n)=0$. So if we set
$V=\bigcup_{n\in\Bbb N}V_n$, we shall have $V\in\Sigma\tensorhat\Tau$,
$V\subseteq W$ and
\Centerline{$W\setminus V
=\bigcup_{n\in\Bbb N}W\cap(E_n\times F_n)\setminus V
\subseteq\bigcup_{n\in\Bbb N}W\cap(E_n\times F_n)\setminus V_n$}
\noindent is $\lambda$-negligible.\ \Qed
Similarly, there is a $V'\in\Sigma\tensorhat\Tau$ such that
$V'\subseteq(X\times Y)\setminus W$ and
$\lambda(((X\times Y)\setminus W)\setminus V')=0$. Setting $V''=(X\times Y)\setminus V'$,
$V''\in\Sigma\tensorhat\Tau$, $W\subseteq V''$ and
$\lambda(V''\setminus W)=0$. So
\Centerline{$\lambda_{\Cal B}(V''\setminus V)
=\lambda(V''\setminus V)
=\lambda(V''\setminus W)+\lambda(W\setminus V)=0$,}
\noindent and $W$ is measured by $\hat\lambda_{\Cal B}$, with
$\hat\lambda_{\Cal B}W=\lambda_{\Cal B}V=\lambda W$. As $W$ is
arbitrary, $\hat\lambda_{\Cal B}=\lambda$.
}%end of proof of 251K
\leader{*251L}{}\cmmnt{ The following result fits in naturally here;
I star it because it will be used seldom (there is a more important version
of the same idea in 254G) and the proof
can be skipped until you come to need it.
\medskip
\noindent}{\bf Proposition}
Let $(X_1,\Sigma_1,\mu_1)$, $(X_2,\Sigma_2,\mu_2)$,
$(Y_1,\Tau_1,\nu_1)$ and $(Y_2,\Tau_2,\nu_2)$ be $\sigma$-finite
measure spaces; let
$\lambda_1$, $\lambda_2$ be the product measures on $X_1\times Y_1$,
$X_2\times Y_2$ respectively. Suppose that $f:X_1\to X_2$ and
$g:Y_1\to Y_2$ are \imp\ functions, and that
$h(x,y)=(f(x),g(y))$ for $x\in X_1$, $y\in Y_1$. Then $h$ is \imp.
%251K
\proof{ Write $\Lambda_1$, $\Lambda_2$ for the domains of $\lambda_1$,
$\lambda_2$ respectively.
\medskip
{\bf (a)} Suppose that $E\in\Sigma_2$ and $F\in\Tau_2$ have finite
measure. Then $\lambda_1h^{-1}[W\cap(E\times F)]$ is defined and equal to
$\lambda_2(W\cap(E\times F))$ for every $W\in\Lambda_2$. \Prf\
$$\eqalign{\lambda_1h^{-1}[E\times F]
&=\lambda_1(f^{-1}[E]\times g^{-1}[F])
=\mu_1f^{-1}[E]\cdot\nu_1g^{-1}[F]\cr
&=\mu_2E\cdot\nu_2F
=\lambda_2(E\times F)\cr}$$
\noindent by 251E/251J.\ \Qed
\medskip
{\bf (b)} Take $E_0\in\Sigma_2$ and $F_0\in\Tau_2$ of finite measure.
Let $\tilde\lambda_1$, $\tilde\lambda_2$ be the subspace measures on
$f^{-1}[E_0]\times g^{-1}[F_0]$ and $E_0\times F_0$ respectively.
Set $\tilde h=h\restr f^{-1}[E_0]\times g^{-1}[F_0]$, and write
$\iota$ for the identity map from $E_0\times F_0$ to $X_2\times Y_2$; let
$\lambda=\tilde\lambda_1\tilde h^{-1}$ and
$\lambda'=\tilde\lambda_2\iota^{-1}$ be the
image measures on $X_2\times Y_2$. Then (a) tells us that
$$\eqalign{\lambda(E\times F)
&=\lambda_1(h^{-1}[(E\cap E_0)\times(F\cap F_0)])\cr
&=\lambda_2((E\cap E_0)\times(F\cap F_0))
=\lambda'(E\times F)\cr}$$
\noindent whenever $E\in\Sigma_2$ and $F\in\Tau_2$. By the Monotone Class
Theorem (136C), $\lambda$ and $\lambda'$ agree on
$\Sigma_2\tensorhat\Tau_2$, that is,
$\lambda_1(h^{-1}[W\cap(E_0\times F_0)])=\lambda_2(W\cap(E_0\times F_0))$
for every $W\in\Sigma_2\tensorhat\Tau_2$.
If $W$ is any member of $\Lambda_2$,
there are $W'$, $W''\in\Sigma_2\tensorhat\Tau_2$ such
that $W'\subseteq W\subseteq W''$ and $\lambda_2(W''\setminus W')=0$
(251K). Now we must have
\Centerline{$h^{-1}[W'\cap(E_0\times F_0)]
\subseteq h^{-1}[W\cap(E_0\times F_0)]
\subseteq h^{-1}[W''\cap(E_0\times F_0)]$,}
\Centerline{$\lambda_1(h^{-1}[W''\cap(E_0\times F_0)]\setminus
h^{-1}[W'\cap(E_0\times F_0)])
=\lambda_2((W''\setminus W')\cap(E_0\times F_0))=0$;}
\noindent because $\lambda_1$ is complete,
$\lambda_1h^{-1}[W\cap(E_0\times F_0)]$ is defined and equal to
\Centerline{$\lambda_1h^{-1}[W'\cap(E_0\times F_0)]
=\lambda_2(W'\cap(E_0\times F_0))
=\lambda_2(W\cap(E_0\times F_0))$.}
\medskip
{\bf (c)} Now suppose that $\sequencen{E_n}$, $\sequencen{F_n}$ are
non-decreasing sequences of sets of finite measure with union $X_2$, $Y_2$
respectively. If $W\in\Lambda_2$,
\Centerline{$\lambda_1h^{-1}[W]
=\sup_{n\in\Bbb N}\lambda_1h^{-1}[W\cap(E_n\times F_n)]
=\sup_{n\in\Bbb N}\lambda_2(W\cap(E_n\times F_n))
=\lambda_2W$.}
\noindent So $h$ is \imp, as claimed.
}%end of proof of 251L
\leader{251M}{}\cmmnt{ It is time that I gave some examples. Of
course the central
example is Lebesgue measure. In this case we have the only reasonable
result. I pause to describe the leading example of the product
$\Sigma\tensorhat\Tau$ introduced in 251D.
\medskip
\noindent}{\bf Proposition} Let $r$, $s\ge 1$ be integers. Then we
have a natural bijection $\phi:\BbbR^r\times\BbbR^s\to\BbbR^{r+s}$,
defined by setting
\Centerline{$\phi((\xi_1,\ldots,\xi_r),(\eta_1,\ldots,\eta_s))
=(\xi_1,\ldots,\xi_r,\eta_1,\ldots,\eta_s)$}
\noindent for $\xi_1,\ldots,\xi_r,\eta_1,\ldots,\eta_s\in\Bbb R$. If
we write $\Cal B_r$, $\Cal B_s$ and $\Cal B_{r+s}$ for the Borel
$\sigma$-algebras of $\BbbR^r$, $\BbbR^s$ and $\BbbR^{r+s}$
respectively, then $\phi$ identifies
$\Cal B_{r+s}$ with $\Cal B_r\tensorhat\Cal B_s$.
\proof{{\bf (a)} Write $\Cal B$ for the $\sigma$-algebra
$\{\phi^{-1}[W]:W\in\Cal B_{r+s}\}$ copied onto $\BbbR^r\times\BbbR^s$
by the bijection $\phi$; we are seeking to prove that
$\Cal B=\Cal B_r\tensorhat\Cal B_s$. We have maps
$\pi_1:\BbbR^{r+s}\to\BbbR^r$, $\pi_2:\BbbR^{r+s}\to\BbbR^s$ defined by
setting $\pi_1(\phi(x,y))=x$, $\pi_2(\phi(x,y))=y$. Each co-ordinate
of $\pi_1$ is continuous, therefore Borel measurable (121Db), so
$\pi_1^{-1}[E]\in\Cal B_{r+s}$ for every $E\in\Cal B_r$, by 121K.
Similarly,
$\pi_2^{-1}[F]\in\Cal B_{r+s}$ for every $F\in\Cal B_s$. So
$\phi[E\times F]=\pi_1^{-1}[E]\cap\pi_1^{-1}[F]$ belongs to
$\Cal B_{r+s}$, that is, $E\times F\in\Cal B$, whenever $E\in\Cal B_r$
and $F\in\Cal B_s$. Because $\Cal B$ is a
$\sigma$-algebra, $\Cal B_r\tensorhat\Cal B_s\subseteq\Cal B$.
\medskip
{\bf (b)} Now examine sets of the form
\Centerline{$\{(x,y):\xi_i\le\alpha\}
=\{x:\xi_i\le\alpha\}\times\BbbR^s$,}
\Centerline{$\{(x,y):\eta_j\le\alpha\}
=\BbbR^r\times\{y:\eta_j\le\alpha\}$}
\noindent for $\alpha\in\Bbb R$, $i\le r$ and $j\le s$, taking
$x=(\xi_1,\ldots,\xi_r)$ and $y=(\eta_1,\ldots,\eta_s)$. All of these
belong to $\Cal B_r\tensorhat\Cal B_s$. But the $\sigma$-algebra they
generate is just $\Cal B$, by 121J. So
$\Cal B\subseteq\Cal B_r\tensorhat\Cal B_s$ and
$\Cal B=\Cal B_r\tensorhat\Cal B_s$.
}%end of proof of 251M
\leader{251N}{Theorem} Let $r$, $s\ge 1$ be integers. Then the
bijection $\phi:\BbbR^r\times\BbbR^s\to\BbbR^{r+s}$ described in 251M
identifies Lebesgue measure on $\BbbR^{r+s}$ with the
c.l.d.\ product $\lambda$
of Lebesgue measure on $\BbbR^r$ and Lebesgue measure on $\BbbR^s$.
\proof{ Write $\mu_r$,
$\mu_s$, $\mu_{r+s}$ for the three versions of Lebesgue measure,
$\mu^*_r$, $\mu^*_s$ and $\mu^*_{r+s}$ for the corresponding outer
measures, and
$\theta$ for the outer measure on $\BbbR^r\times\BbbR^s$ derived from
$\mu_r$ and $\mu_s$ by the formula of 251A.
\medskip
{\bf (a)} If $I\subseteq\BbbR^r$ and $J\subseteq \BbbR^s$ are
half-open intervals, then
$\phi[I\times J]\subseteq\BbbR^{r+s}$ is also a half-open interval, and
\Centerline{$\mu_{r+s}(\phi[I\times J])=\mu_rI\cdot\mu_sJ$;}
\noindent this is immediate from the definition of the Lebesgue measure
of an interval. (I speak of `half-open' intervals here, that is,
intervals of the form
$\prod_{1\le j\le r}\coint{\alpha_j,\beta_j}$, because I used them in the
definition of Lebesgue measure in \S115. If you prefer
to work with open intervals or closed intervals it makes no difference.)
Note also that every half-open interval in $\BbbR^{r+s}$ is expressible
as $\phi[I\times J]$ for suitable $I$, $J$.
\medskip
{\bf (b)} For any $A\subseteq\BbbR^{r+s}$,
$\theta(\phi^{-1}[A])\le\mu^*_{r+s}(A)$. \Prf\ For any $\epsilon>0$,
there is a sequence $\sequencen{K_n}$ of half-open intervals in $\Bbb
R^{r+s}$ such that $A\subseteq\bigcup_{n\in\Bbb N}K_n$ and
$\sum_{n=0}^{\infty}\mu_{r+s}(K_n)\le\mu^*_{r+s}(A)+\epsilon$.
Express each $K_n$ as $\phi[I_n\times J_n]$, where $I_n$ and $J_n$ are
half-open intervals in $\BbbR^r$ and $\BbbR^s$ respectively; then
$\phi^{-1}[A]\subseteq\bigcup_{n\in\Bbb N}I_n\times J_n$, so that
\Centerline{$\theta(\phi^{-1}[A])
\le\sum_{n=0}^{\infty}\mu_rI_n\cdot\mu_sJ_n
=\sum_{n=0}^{\infty}\mu_{r+s}(K_n)\le\mu^*_{r+s}(A)+\epsilon$.}
\noindent As $\epsilon$ is arbitrary, we have the result.\ \Qed
\medskip
{\bf (c)} If $E\subseteq\BbbR^r$ and $F\subseteq\BbbR^s$ are
measurable, then $\mu^*_{r+s}(\phi[E\times F])\le\mu_rE\cdot\mu_sF$.
\medskip
\Prf\ {\bf (i)} Consider first the case $\mu_rE<\infty$, $\mu_sF<\infty$. In
this case, given $\epsilon>0$, there are sequences $\sequencen{I_n}$,
$\sequencen{J_n}$ of half-open intervals such that
$E\subseteq\bigcup_{n\in\Bbb N}I_n$,
$F\subseteq\bigcup_{n\in\Bbb N}F_n$,
\Centerline{$\sum_{n=0}^{\infty}\mu_rI_n\le\mu^*_rE+\epsilon
=\mu_rE+\epsilon$,}
\Centerline{$\sum_{n=0}^{\infty}\mu_sJ_n\le\mu^*_sF+\epsilon=\mu_sF
+\epsilon$.}
\noindent Accordingly
$E\times F\subseteq\bigcup_{m,n\in\Bbb N}I_m\times J_n$ and
$\phi[E\times F]\subseteq\bigcup_{m,n\in\Bbb N}\phi[I_m\times J_n]$, so
that
$$\eqalign{\mu^*_{r+s}(\phi[E\times F])
&\le\sum_{m,n=0}^{\infty}\mu_{r+s}(\phi[I_m\times J_n])
=\sum_{m,n=0}^{\infty}\mu_rI_m\cdot\mu_sJ_n\cr
&=\sum_{m=0}^{\infty}\mu_rI_m\cdot\sum_{n=0}^{\infty}\mu_sJ_n
\le(\mu_rE+\epsilon)(\mu_sF+\epsilon).\cr}$$
\noindent As $\epsilon$ is arbitrary,
we have the result.
\medskip
\quad{\bf (ii)}
Next, if $\mu_rE=0$, there is a sequence $\sequencen{F_n}$ of sets
of finite measure covering $\BbbR^s\supseteq F$, so that
\Centerline{$\mu^*_{r+s}(\phi[E\times F])
\le\sum_{n=0}^{\infty}\mu^*_{r+s}(\phi[E\times F_n])
\le\sum_{n=0}^{\infty}\mu_rE\cdot\mu_sF_n
=0
=\mu_rE\cdot\mu_sF$.}
\noindent Similarly,
$\mu^*_{r+s}(\phi[E\times F])\le\mu_rE\cdot\mu_sF$ if $\mu_sF=0$.
The only remaining case is that in
which both of $\mu_rE$, $\mu_sF$ are strictly positive and one is
infinite; but in this case $\mu_rE\cdot\mu_sF=\infty$, so surely
$\mu^*_{r+s}(\phi[E\times F])\le\mu_rE\cdot\mu_sF$.\ \Qed
\medskip
{\bf (d)} If $A\subseteq\BbbR^{r+s}$, then
$\mu^*_{r+s}(A)\le\theta(\phi^{-1}[A])$. \Prf\ Given $\epsilon>0$,
there are sequences $\sequencen{E_n}$, $\sequencen{F_n}$ of measurable
sets in $\BbbR^r$, $\BbbR^s$ respectively such that
$\phi^{-1}[A]\subseteq\bigcup_{n\in\Bbb N}E_n\times F_n$ and
$\sum_{n=0}^{\infty}\mu_rE_n\cdot\mu_sF_n
\le\theta(\phi^{-1}[A])+\epsilon$.
Now $A\subseteq\bigcup_{n\in\Bbb N}\phi[E_n\times F_n]$, so
\Centerline{$\mu^*_{r+s}(A)
\le\sum_{n=0}^{\infty}\mu^*_{r+s}(\phi[E_n\times F_n])
\le\sum_{n=0}^{\infty}\mu_rE_n\cdot\mu_sF_n
\le\theta(\phi^{-1}[A])+\epsilon$.}
\noindent As $\epsilon$ is arbitrary, we have the result.\ \Qed
\medskip
{\bf (e)} Putting (c) and (d) together, we have
$\theta(\phi^{-1}[A])=\mu^*_{r+s}(A)$ for every $A\subseteq\Bbb
R^{r+s}$. Thus $\theta$ on $\BbbR^r\times\BbbR^s$ corresponds
exactly to $\mu^*_{r+s}$ on $\BbbR^{r+s}$. So the associated
measures $\lambda_0$, $\mu_{r+s}$ must correspond in the same way,
writing $\lambda_0$ for the primitive product measure. But 251K tells
us that $\lambda_0=\lambda$, so we have the result.
}%end of proof of 251N
\vleader{48pt}{251O}{}\cmmnt{ In fact, a large proportion of the
applications
of the constructions here are to subspaces of Euclidean space, rather
than to the whole product $\BbbR^r\times\BbbR^s$. It would not have
been especially difficult to write 251N out to deal with
arbitrary subspaces, but I prefer to give a more general description of
the product of subspace measures, as I feel that it illuminates the
method. I start with a straightforward result on strictly localizable
spaces.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
strictly localizable measure spaces. Then the c.l.d.\ product measure
on $X\times Y$ is strictly localizable; moreover, if
$\langle X_i\rangle_{i\in I}$ and $\langle Y_j\rangle_{j\in J}$ are
decompositions of $X$ and $Y$ respectively,
$\langle X_i\times Y_j\rangle_{(i,j)\in I\times J}$ is a decomposition of
$X\times Y$.
\proof{ Let $\langle X_i\rangle_{i\in I}$ and
$\langle Y_j\rangle_{j\in J}$ be decompositions of $X$, $Y$ respectively.
Then $\langle X_i\times Y_j\rangle_{(i,j)\in I\times J}$ is a partition of
$X\times Y$ into measurable sets of finite measure. If
$W\subseteq X\times Y$ and $\lambda W>0$, there are sets $E\in\Sigma$,
$F\in\Tau$ such that $\mu E<\infty$, $\nu F<\infty$ and
$\lambda(W\cap(E\times F))>0$. We know that
$\mu E=\sum_{i\in I}\mu(E\cap X_i)$ and
$\mu F=\sum_{j\in J}\mu(F\cap Y_j)$, so there must be finite sets
$I_0\subseteq I$, $J_0\subseteq J$ such that
\Centerline{$\mu E\cdot\nu F
-(\sum_{i\in I_0}\mu(E\cap X_i))(\sum_{j\in J_0}\nu(F\cap Y_j))
<\lambda(W\cap(E\times F))$.}
\noindent Setting $E'=\bigcup_{i\in I_0}X_i$ and $F'=\bigcup_{j\in J_0}Y_j$
we have
\Centerline{$\lambda((E\times F)\setminus(E'\times F'))
=\lambda(E\times F)-\lambda((E\cap E')\times(F\cap
F'))<\lambda(W\cap(E\times F))$,}
\noindent so that $\lambda(W\cap(E'\times F'))>0$. There must
therefore be some $i\in I_0$, $j\in J_0$ such that
$\lambda(W\cap(X_i\times Y_j))>0$.
This shows that $\{X_i\times Y_j:i\in I,\,j\in J\}$ satisfies the
criterion of 213O, so that $\lambda$, being complete and locally
determined, must be strictly localizable. Because
$\langle X_i\times Y_j\rangle_{(i,j)\in I\times J}$ covers $X\times Y$,
it is actually a decomposition of $X\times Y$ (213Ob).
}
\leader{251P}{Lemma} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be measure
spaces, and $\lambda$ the c.l.d.\ product measure on
$X\times Y$. Let $\lambda^*$ be the corresponding
outer measure\cmmnt{ (132B)}. Then
\Centerline{$\lambda^*C=\sup\{\theta(C\cap(E\times
F)):E\in\Sigma,\,F\in\Tau,\,\mu E<\infty,\,\nu F<\infty\}$}
\noindent for every
$C\subseteq X\times Y$, where $\theta$ is the outer measure of 251A.
\proof{ Write $\Lambda$ for the domain of $\lambda$, $\Sigma^f$ for
$\{E:E\in\Sigma,\,\mu E<\infty\}$, $\Tau^f$ for $\{F:F\in\Tau,\,\nu
F<\infty\}$; set $u=\sup\{\theta(C\cap(E\times F)):E\in\Sigma^f$,
$F\in\Tau^f\}$.
\medskip
{\bf (a)} If $C\subseteq W\in\Lambda$, $E\in\Sigma^f$ and $F\in\Tau^f$,
then
$$\eqalignno{\theta(C\cap(E\times F))
&\le\theta(W\cap(E\times F))
=\lambda_0(W\cap(E\times F))\cr
\noalign{\noindent (where $\lambda_0$ is the primitive product measure)}
&\le\lambda W.\cr}$$
\noindent As $E$ and $F$ are arbitrary, $u\le\lambda W$; as $W$ is
arbitrary, $u\le\lambda^*C$.
\medskip
{\bf (b)} If $u=\infty$, then of course $\lambda^*C=u$. Otherwise, let
$\sequencen{E_n}$, $\sequencen{F_n}$ be
sequences in $\Sigma^f$, $\Tau^f$ respectively such that