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\frfilename{mt253.tex}
\versiondate{18.4.08}
\def\chaptername{Product measures}
\def\sectionname{Tensor products}
\newsection{253}
The theorems of the last section show that the integrable functions on a
product of two measure spaces can be effectively studied in terms of
integration on each factor space separately. In this section I present
a very striking relationship between the $L^1$ space of a product
measure and the $L^1$ spaces of its factors, which actually determines
the product $L^1$ up to isomorphism as Banach lattice. I start with a
brief note on bilinear operators (253A) and a description of the canonical
bilinear operator from $L^1(\mu)\times L^1(\nu)$ to $L^1(\mu\times\nu)$
(253B-253E). The main theorem of the section is 253F, showing that
this canonical map is universal for continuous bilinear operators from
$L^1(\mu)\times L^1(\nu)$ to Banach spaces; it also determines the
ordering of $L^1(\mu\times\nu)$ (253G). I end with a description of a
fundamental type of conditional expectation operator (253H) and notes
on products of indefinite-integral measures (253I) and upper integrals
of special kinds of function (253J, 253K).
\leader{253A}{Bilinear operators}\cmmnt{ Before looking at any of the
measure theory in this section, I introduce a concept from the theory of
linear spaces.
\medskip
} {\bf (a)} Let $U$, $V$ and $W$ be linear spaces over
$\Bbb R$\cmmnt{ (or, indeed, any field)}. A map
$\phi:U\times V\to W$ is {\bf bilinear} if it is linear in each variable
separately, that is,
\Centerline{$\phi(u_1+u_2,v)=\phi(u_1,v)+\phi(u_2,v)$,}
\Centerline{$\phi(u,v_1+v_2)=\phi(u,v_1)+\phi(u,v_2)$,}
\Centerline{$\phi(\alpha u,v)=\alpha\phi(u,v)=\phi(u,\alpha v)$}
\noindent for all $u$, $u_1$, $u_2\in U$, $v$, $v_1$, $v_2\in V$ and
scalars $\alpha$. Observe that such a $\phi$ gives rise to, and in
turn can be defined by, a linear operator
$T:U\to\eurm L(V;W)$\cmmnt{, writing
$\eurm L(V;W)$ for the space of linear operators from $V$ to $W$}, where
\Centerline{$(Tu)(v)=\phi(u,v)$}
\noindent for all $u\in U$, $v\in V$. \cmmnt{Hence, or otherwise, we
can see, for instance, that} $\phi(0,v)=\phi(u,0)=0$ whenever $u\in U$ and
$v\in V$.
If $W'$ is another linear space\cmmnt{ over the same field,} and
$S:W\to W'$ is a linear operator, then $S\phi:U\times V\to W'$ is
bilinear.
\spheader 253Ab Now suppose that $U$, $V$ and $W$ are
normed spaces, and $\phi:U\times V\to W$ a bilinear operator.
\cmmnt{Then we
say that} $\phi$ is {\bf bounded} if
$\sup\{\|\phi(u,v)\|:\|u\|\le 1,\,\|v\|\le 1\}$ is finite, and in this
case we call this supremum the
norm $\|\phi\|$ of $\phi$. \cmmnt{Note that}
$\|\phi(u,v)\|\le\|\phi\|\|u\|\|v\|$ for all $u\in U$, $v\in
V$\prooflet{ (because
\Centerline{$\|\phi(u,v)\|=\alpha\beta\|\phi(\alpha^{-1}u,\beta^{-1}v)\|
\le\alpha\beta\|\phi\|$}
\noindent whenever $\alpha>\|u\|$, $\beta>\|v\|$)}.
If $W'$ is another normed space and $S:W\to W'$ is a bounded linear
operator, then $S\phi:U\times V\to W'$ is a bounded bilinear operator,
and $\|S\phi\|\le\|S\|\|\phi\|$.
\leader{253B}{Definition}\cmmnt{ The most important bilinear operators of
this section are based on the following idea.} Let $f$ and $g$ be
real-valued functions. I will write $f\otimes g$ for the function
$(x,y)\mapsto f(x)g(y):\dom f\times\dom g\to\Bbb R$.
\leader{253C}{Proposition}
(a) Let $X$ and $Y$ be sets, and $\Sigma$, $\Tau\,\,\sigma$-algebras of
subsets of $X$, $Y$ respectively. If $f$ is a $\Sigma$-measurable
real-valued function defined on a subset of $X$, and $g$ is a
$\Tau$-measurable real-valued function defined on a subset of $Y$, then
$f\otimes g$\cmmnt{, as defined in 253B,} is
$\Sigma\tensorhat\Tau$-measurable.
(b) Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be measure spaces, and
$\lambda$ the c.l.d.\ product measure on $X\times Y$. If
$f\in\eusm L^0(\mu)$ and $g\in\eusm L^0(\nu)$, then
$f\otimes g\in\eusm L^0(\lambda)$.
\cmmnt{\medskip
\noindent{\bf Remark} Recall from 241A that $\eusm L^0(\mu)$ is the
space of $\mu$-virtually measurable real-valued functions defined
on $\mu$-conegligible subsets of $X$.}
\proof{{\bf (a)} The point is that $f\otimes\chi Y$ is
$\Sigma\tensorhat\Tau$-measurable, because for any $\alpha\in\Bbb R$
there is an $E\in\Sigma$ such that
\Centerline{$\{x:f(x)\ge\alpha\}=E\cap\dom f$,}
\noindent so that
\Centerline{$\{(x,y):(f\otimes\chi Y)(x,y)\ge\alpha\}
=(E\cap\dom f)\times Y=(E\times Y)\cap\dom(f\otimes\chi Y)$,}
\noindent and of course $E\times Y\in\Sigma\tensorhat\Tau$. Similarly,
$\chi X\otimes g$ is $\Sigma\tensorhat\Tau$-measurable and
$f\otimes g=(f\otimes\chi Y)\times(\chi X\otimes g)$ is
$\Sigma\tensorhat\Tau$-measurable.
\medskip
{\bf (b)} Let $E\in\Sigma$, $F\in\Tau$ be conegligible subsets of $X$,
$Y$ respectively such that $E\subseteq\dom f$, $F\subseteq\dom g$,
$f\restr E$ is $\Sigma$-measurable and $g\restr F$ is $\Tau$-measurable.
Write $\Lambda$ for the domain of $\lambda$. Then
$\Sigma\tensorhat\Tau\subseteq\Lambda$ (251Ia). Also $E\times F$ is
$\lambda$-conegligible, because
$$\eqalign{\lambda((X\times Y)\setminus(E\times F))
&\le\lambda((X\setminus E)\times Y)+\lambda(X\times(Y\setminus F))\cr
&=\mu(X\setminus E)\cdot\nu Y+\mu X\cdot\nu(Y\setminus F)
=0\cr}$$
\noindent (also from 251Ia). So $\dom(f\otimes g)\supseteq E\times F$
is conegligible. Also, by (a),
$(f\otimes g)\restr(E\times F)
=(f\restr E)\otimes(g\restr F)$ is $\Sigma\tensorhat\Tau$-measurable,
therefore $\Lambda$-measurable, and $f\otimes g$ is virtually
measurable. Thus $f\otimes g\in\eusm L^0(\lambda)$, as claimed.
}%end of proof of 253C
\leader{253D}{}\cmmnt{ Now we can apply the ideas of 253B-253C to
integrable functions.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and
$(Y,\Tau,\nu)$ be measure spaces, and write $\lambda$ for the c.l.d.\
product measure on $X\times Y$. If $f\in\eusm L^1(\mu)$ and
$g\in\eusm L^1(\nu)$, then $f\otimes g\in\eusm L^1(\lambda)$ and
$\int f\otimes g\,d\lambda=\int f\,d\mu\int g\,d\nu$.
\cmmnt{\medskip
\noindent{\bf Remark} I follow \S242 in writing $\eusm L^1(\mu)$ for
the space of $\mu$-integrable real-valued functions.
}
\proof{{\bf (a)} Consider first the
case $f=\chi E$, $g=\chi F$ where $E\in\Sigma$, $F\in\Tau$ have finite
measure; then $f\otimes g=\chi(E\times F)$ is $\lambda$-integrable with
integral
\Centerline{$\lambda(E\times F)=\mu E\cdot\nu F
=\int f\,d\mu\cdot\int g\,d\nu$,}
\noindent by 251Ia.
\medskip
{\bf (b)} It follows at once that $f\otimes g$ is $\lambda$-simple,
with $\int f\otimes g\,d\lambda=\int f\,d\mu\int g\,d\nu$, whenever $f$
is a $\mu$-simple function and $g$ is a $\nu$-simple function.
\medskip
{\bf (c)} If $f$ and $g$ are non-negative integrable functions, there
are non-decreasing sequences $\sequencen{f_n}$, $\sequencen{g_n}$ of
non-negative simple
functions converging almost everywhere to $f$, $g$ respectively; now
note that if $E\subseteq X$, $F\subseteq Y$ are conegligible, $E\times
F$ is conegligible in $X\times Y$, as remarked in the proof of 253C, so
the non-decreasing sequence $\sequencen{f_n\times g_n}$ of
$\lambda$-simple functions converges almost everywhere to $f\otimes g$,
and
\Centerline{$\int f\otimes g\,d\lambda
=\lim_{n\to\infty}\int f_n\otimes g_nd\lambda
=\lim_{n\to\infty}\int f_nd\mu\int g_nd\nu
=\int f\,d\mu\int g\,d\nu$}
\noindent by B.Levi's theorem.
\medskip
{\bf (d)} Finally, for general $f$ and $g$, we can express them as
the differences $f^+-f^-$, $g^+-g^-$ of non-negative integrable
functions, and see that
\Centerline{$\int f\otimes g\,d\lambda
=\int f^+\otimes g^+-f^+\otimes g^--f^-\otimes g^+
+f^-\otimes g^-d\lambda
=\int f\,d\mu\int g\,d\nu.$}
}%end of proof of 253D
\leader{253E}{The canonical map $L^1\times L^1\to L^1$}\cmmnt{ I
continue the argument from 253D. Because $E\times F$ is conegligible
in $X\times Y$ whenever $E$ and $F$ are
conegligible subsets of $X$ and $Y$,
$f_1\otimes g_1=f\otimes g\,\,\lambda$-a.e. whenever $f=f_1\,\,\mu$-a.e.
and $g=g_1\,\,\nu$-a.e.} We may\cmmnt{ therefore} define
$u\otimes v\in L^1(\lambda)$, for $u\in L^1(\mu)$ and $v\in L^1(\nu)$,
by saying that
$u\otimes v=(f\otimes g)^{\ssbullet}$ whenever $u=f^{\ssbullet}$ and
$v=g^{\ssbullet}$. \dvro{The}{
Now if $f$, $f_1$, $f_2\in\eusm L^1(\mu)$, $g$, $g_1$,
$g_2\in\eusm L^1(\nu)$ and $a\in\Bbb R$,
\Centerline{$(f_1+f_2)\otimes g=(f_1\otimes g)+(f_2\otimes g)$,}
\Centerline{$f\otimes(g_1+g_2)=(f\otimes g_1)+(f\otimes g_2)$,}
\Centerline{$(af)\otimes g=a(f\otimes g)=f\otimes(ag)$.}
\noindent It follows at once that the} map $(u,v)\mapsto u\otimes v$ is
bilinear.
\cmmnt{Moreover, if $f\in\eusm L^1(\mu)$ and $g\in\eusm L^1(\nu)$,
$|f|\otimes|g|=|f\otimes g|$, so
$\int|f\otimes g|d\lambda=\int|f|d\mu\int|g|d\nu$. Accordingly}
\Centerline{$\|u\otimes v\|_1=\|u\|_1\|v\|_1$}
\noindent for all $u\in L^1(\mu)$, $v\in L^1(\nu)$. In particular, the
bilinear operator $\otimes$ is bounded, with norm $1$ (except in the trivial
case in which one of $L^1(\mu)$, $L^1(\nu)$ is $0$-dimensional).
\leader{253F}{}\cmmnt{ We are now ready for the main theorem of this
section.
\medskip
\noindent}{\bf Theorem}
Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be measure spaces, and let
$\lambda$ be the c.l.d.\ product measure on $X\times Y$. Let $W$ be
any Banach space and $\phi:L^1(\mu)\times L^1(\nu)\to W$ a bounded bilinear
operator. Then there is a unique bounded linear operator
$T:L^1(\lambda)\to W$ such that $T(u\otimes v)=\phi(u,v)$ for all
$u\in L^1(\mu)$ and $v\in L^1(\nu)$, and $\|T\|=\|\phi\|$.
\proof{{\bf (a)} The centre of the argument is the following
fact: if $E_0,\ldots,E_n$ are measurable sets of finite measure in
$X$, $F_0,\ldots,F_n$ are measurable sets of finite measure in $Y$,
$a_0,\ldots,a_n\in\Bbb R$ and
$\sum_{i=0}^na_i\chi(E_i\times F_i)=0\,\,\lambda$-a.e., then
$\sum_{i=0}^na_i\phi(\chi E_i^{\ssbullet},\chi F_i^{\ssbullet})=0$ in $W$.
\Prf\ We
can find a disjoint family $\langle G_j\rangle_{j\le m}$ of measurable
sets of finite measure in $X$ such that each $E_i$ is expressible as a
union of some subfamily of the $G_j$; so that $\chi E_i$ is
expressible in the form $\sum_{j=0}^mb_{ij}\chi G_j$ (see 122Ca).
Similarly, we
can find a disjoint family $\langle H_k\rangle_{k\le l}$ of measurable
sets of finite measure in $Y$ such that each $\chi F_i$ is expressible
as $\sum_{k=0}^lc_{ik}\chi H_k$. Now
\Centerline{$\sum_{j=0}^m\sum_{k=0}^l
\bigl(\sum_{i=0}^na_ib_{ij}c_{ik}\bigr)
\chi(G_j\times H_k)
=\sum_{i=0}^na_i\chi(E_i\times F_i)=0\,\,\lambda\text{-a.e.}$}
\noindent Because the $G_j\times H_k$ are disjoint, and
$\lambda(G_j\times H_k)=\mu G_j\cdot\nu H_k$ for all $j$, $k$, it
follows that for
every $j\le m$, $k\le l$ we have either $\mu G_j=0$ or $\nu H_k=0$ or
$\sum_{i=0}^na_ib_{ij}c_{ik}=0$. In any of these three cases,
$\sum_{i=0}^na_ib_{ij}c_{ik}\phi(\chi G_j^{\ssbullet},\chi
H_k^{\ssbullet})=0$ in $W$. But this means that
\Centerline{$0=\sum_{j=0}^m\sum_{k=0}^l
\bigl(\sum_{i=0}^na_ib_{ij}c_{ik}\bigr)
\phi(\chi G_j^{\ssbullet},\chi H_k^{\ssbullet})
=\sum_{i=0}^na_i\phi(\chi E_i^{\ssbullet},\chi F_i^{\ssbullet}),$}
\noindent as claimed.\ \Qed
\medskip
{\bf (b)} It follows that if $E_0,\ldots,E_n$, $E'_0,\ldots,E'_m$ are
measurable sets of finite measure in $X$, $F_0,\ldots,F_n$,
$F'_0,\ldots,F'_m$ are measurable sets of finite measure in $Y$,
$a_0,\ldots,a_n,a'_0,\ldots,a'_m\in\Bbb R$ and
$\sum_{i=0}^na_i\chi(E_i\times F_i)=\sum_{i=0}^ma'_i\chi(E'_i\times
F'_i)\,\,\lambda$-a.e., then
\Centerline{$\sum_{i=0}^na_i\phi(\chi
E_i^{\ssbullet},\chi F_i^{\ssbullet})=\sum_{i=0}^ma'_i\phi(\chi
{E'_i}^{\ssbullet},\chi {F'_i}^{\ssbullet})$}
\noindent in $W$. Let $M$ be the linear
subspace of $L^1(\lambda)$ generated by
\Centerline{$\{\chi(E\times F)^{\ssbullet}:E\in\Sigma,\,\mu E<\infty,\,
F\in\Tau,\,\nu F<\infty\};$}
\noindent then we have a unique map $T_0:M\to W$ such that
\Centerline{$T_0(\sum_{i=0}^na_i\chi(E_i\times F_i)^{\ssbullet})
=\sum_{i=0}^na_i\phi(\chi E_i^{\ssbullet},\chi F_i^{\ssbullet})$}
\noindent whenever $E_0,\ldots,E_n$ are measurable sets of finite
measure in $X$, $F_0,\ldots,F_n$ are measurable sets of finite measure
in $Y$ and $a_0,\ldots,a_n\in\Bbb R$. Of course $T_0$ is linear.
\medskip
{\bf (c)} Some of the same calculations show that
$\|T_0u\|\le\|\phi\|\|u\|_1$ for every $u\in M$. \Prf\ If $u\in M$,
then, by the arguments of (a), we can express $u$ as
$\sum_{j=0}^m\sum_{k=0}^la_{jk}\chi(G_j\times
H_k)^{\ssbullet}$, where $\langle G_j\rangle_{j\le m}$ and $\langle
H_k\rangle_{k\le l}$ are disjoint families of sets of finite measure.
Now
$$\eqalign{\|T_0u\|
&=\|\sum_{j=0}^m\sum_{k=0}^la_{jk}\phi(\chi G_j^{\ssbullet},\chi
H_k^{\ssbullet})\|
\le\sum_{j=0}^m\sum_{k=0}^l|a_{jk}|\|\phi(\chi G_j^{\ssbullet},\chi
H_k^{\ssbullet})\|\cr
&\le\sum_{j=0}^m\sum_{k=0}^l|a_{jk}|\|\phi\|\|\chi
G_j^{\ssbullet}\|_1\|\chi H_k^{\ssbullet}\|_1
=\|\phi\|\sum_{j=0}^m\sum_{k=0}^l|a_{jk}|\mu G_j\cdot\nu H_k\cr
&=\|\phi\|\sum_{j=0}^m\sum_{k=0}^l|a_{jk}|\lambda(G_j\times H_k)
=\|\phi\|\|u\|_1,\cr}$$
\noindent as claimed.\ \Qed
\medskip
{\bf (d)} The next point is to observe that $M$ is dense in
$L^1(\lambda)$ for $\|\,\|_1$. \Prf\ Repeating the ideas above once
again, we observe that if $E_0,\ldots,E_n$ are sets of finite measure in
$X$ and $F_0,\ldots,F_n$ are sets of finite measure in $Y$, then
$\chi(\bigcup_{i\le n}E_i\times F_i)^{\ssbullet}\in M$; this is
because,
expressing each $E_i$ as a union of $G_j$, where the $G_j$ are disjoint,
we have
\Centerline{$\bigcup_{i\le n}E_i\times F_i=\bigcup_{j\le m}G_j\times
F'_j,$}
\noindent where $F'_j=\bigcup\{F_i:G_j\subseteq E_i\}$ for each $j$;
now $\langle G_j\times F'_j\rangle_{j\le m}$ is disjoint, so
\Centerline{$\chi(\bigcup_{j\le m}G_j\times F_j)^{\ssbullet}
=\sum_{j=0}^m\chi(G_j\times F'_j)^{\ssbullet}\in M.$}
\noindent So 251Ie tells us that whenever $\lambda H<\infty$ and
$\epsilon>0$ there is a $G$ such that $\lambda(H\symmdiff G)\le\epsilon$
and $\chi G^{\ssbullet}\in M$; now
\Centerline{$\|\chi H^{\ssbullet}-\chi
G^{\ssbullet}\|_1=\lambda(G\symmdiff H)\le\epsilon$,}
\noindent so $\chi H^{\ssbullet}$
is approximated arbitrarily closely by members of $M$, and belongs to
the closure $\overline{M}$ of $M$ in $L^1(\lambda)$. Because $M$ is a
linear subspace of $L^1(\lambda)$, so is $\overline{M}$ (2A4Cb);
accordingly $\overline{M}$ contains the equivalence classes of all
$\lambda$-simple functions; but these are dense in $L^1(\lambda)$
(242Mb), so $\overline{M}=L^1(\lambda)$, as claimed.\ \Qed
\medskip
{\bf (e)} Because $W$ is a Banach space, it follows that there is a
bounded linear operator $T:L^1(\lambda)\to W$ extending $T_0$, with
$\|T\|=\|T_0\|\le\|\phi\|$ (2A4I). Now $T(u\otimes v)=\phi(u,v)$ for
all $u\in L^1(\mu)$, $v\in L^1(\nu)$. \Prf\ If $u=\chi E^{\ssbullet}$ and
$v=\chi F^{\ssbullet}$, where $E$, $F$ are measurable sets of finite
measure, then
\Centerline{$T(u\otimes v)=T(\chi(E\times F)^{\ssbullet})
=T_0(\chi(E\times F)^{\ssbullet})
=\phi(\chi E^{\ssbullet},\chi F^{\ssbullet})=\phi(u,v).$}
\noindent Because $\phi$ and $\otimes$ are bilinear and $T$ is linear,
\Centerline{$T(f^{\ssbullet}\otimes g^{\ssbullet})
=\phi(f^{\ssbullet},g^{\ssbullet})$}
\noindent whenever $f$ and $g$ are simple functions. Now whenever
$u\in L^1(\mu)$, $v\in L^1(\nu)$ and $\epsilon>0$, there are simple
functions $f$, $g$ such that $\|u-f^{\ssbullet}\|_1\le\epsilon$,
$\|v-g^{\ssbullet}\|_1\le\epsilon$ (242Mb again); so that
$$\eqalign{\|\phi(u,v)-\phi(f^{\ssbullet},g^{\ssbullet})\|
&\le\|\phi(u-f^{\ssbullet},v-g^{\ssbullet})\|
+\|\phi(u,g^{\ssbullet}-v)\|
+\|\phi(f^{\ssbullet}-u,v)\|\cr
&\le\|\phi\|(\epsilon^2+\epsilon\|u\|_1+\epsilon\|v\|_1).}$$
\noindent Similarly
\Centerline{$\|u\otimes v-f^{\ssbullet}\otimes g^{\ssbullet}\|_1
\le\epsilon(\epsilon+\|u\|_1+\|v\|_1),$}
\noindent so
\Centerline{$\|T(u\otimes v)-T(f^{\ssbullet}\otimes g^{\ssbullet})\|
\le\epsilon\|T\|(\epsilon+\|u\|_1+\|v\|_1);$}
\noindent because $T(f^{\ssbullet}\otimes g^{\ssbullet})
=\phi(f^{\ssbullet},g^{\ssbullet})$,
\Centerline{$\|T(u\otimes v)-\phi(u,v)\|
\le\epsilon(\|T\|+\|\phi\|)(\epsilon+\|u\|_1
+\|v\|_1).$}
\noindent As $\epsilon$ is arbitrary, $T(u\otimes v)=\phi(u,v)$, as
required.\ \Qed
\medskip
{\bf (f)} The argument of (e) ensured that $\|T\|\le\|\phi\|$.
Because $\|u\otimes v\|_1\le\|u\|_1\|v\|_1$ for all $u\in L^1(\mu)$ and
$v\in L^1(\nu)$, $\|\phi(u,v)\|\le\|T\|\|u\|_1\|v\|_1$ for all $u$, $v$,
and $\|\phi\|\le\|T\|$; so $\|T\|=\|\phi\|$.
\medskip
{\bf (g)} Thus $T$ has the required properties. To see that it is
unique, we have only to observe that any bounded linear operator
$S:L^1(\lambda)\to W$ such that $S(u\otimes v)=\phi(u,v)$ for all $u\in
L^1(\mu)$, $v\in L^1(\nu)$ must agree with $T$ on objects of the form
$\chi(E\times F)^{\ssbullet}$ where $E$ and $F$ are of finite measure,
and
therefore on every member of $M$; because $M$ is dense and both $S$ and
$T$ are continuous, they agree everywhere in $L^1(\lambda)$.
}
\leader{253G}{The order structure of \dvrocolon{$L^1$}}\cmmnt{ In
253F I have treated the $L^1$ spaces exclusively as
normed linear spaces. In general, however, the order structure of an
$L^1$ space (see 242C) is as important as its norm. The map
$\otimes:L^1(\mu)\times L^1(\nu)\to L^1(\lambda)$ respects the order
structures of the three spaces in the following strong sense.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces, and $\lambda$ the c.l.d.\ product measure on $X\times
Y$. Then
(a) $u\otimes v\ge 0$ in
$L^1(\lambda)$ whenever $u\ge 0$ in $L^1(\mu)$ and $v\ge 0$ in
$L^1(\nu)$.
(b) The positive cone $\{w:w\ge 0\}$ of
$L^1(\lambda)$ is precisely the closed
convex hull $C$ of $\{u\otimes v:u\ge 0,\,v\ge 0\}$ in $L^1(\lambda)$.
*(c) Let $W$ be any Banach lattice, and $T:L^1(\lambda)\to W$ a
bounded linear operator. Then
the following are equiveridical:
\quad(i) $Tw\ge 0$ in $W$ whenever $w\ge 0$ in
$L^1(\lambda)$;
\quad(ii) $T(u\otimes v)\ge 0$ in $W$ whenever $u\ge 0$ in
$L^1(\mu)$ and $v\ge 0$ in $L^1(\nu)$.
\proof{{\bf (a)} If $u$, $v\ge 0$ then they are expressible as
$f^{\ssbullet}$, $g^{\ssbullet}$ where $f\in\eusm L^1(\mu)$,
$g\in\eusm L^1(\nu)$, $f\ge 0$ and $g\ge 0$.
Now $f\otimes g\ge 0$ so $u\otimes v=(f\otimes g)^{\ssbullet}\ge 0$.
\medskip
{\bf (b)(i)} Write $L^1(\lambda)^+$ for $\{w:w\in L^1(\lambda),\,w\ge
0\}$. Then $L^1(\lambda)^+$ is a closed convex set in $L^1(\lambda)$
(242De); by (a), it contains $u\otimes v$ whenever $u\in L^1(\mu)^+$ and
$v\in L^1(\nu)^+$, so it must include $C$.
\medskip
\quad{\bf (ii)}($\alpha$)
Of course $0=0\otimes 0\in C$. ($\beta$) If $u\in M$, as defined in
the proof of 253F, and $u>0$, then $u$ is expressible as $\sum_{j\le
m,k\le l}a_{jk}\chi(G_j\times H_k)^{\ssbullet}$, where $G_0,\ldots,G_m$
and $H_0,\ldots,H_l$ are disjoint sequences of sets of finite measure,
as in (a) of the proof of 253F. Now $a_{jk}$ can be negative only if
$\chi(G_j\times H_k)^{\ssbullet}=0$, so replacing every $a_{jk}$ by
$\max(0,a_{jk})$ if necessary, we can suppose that $a_{jk}\ge 0$ for
all $j$, $k$. Not all the $a_{jk}$ can be zero, so $a=\sum_{j\le
m,k\le l}a_{jk}>0$, and
\Centerline{$u
=\sum_{j\le m,k\le l}
\Bover{a_{jk}}a\cdot a\chi(G_j\times H_k)^{\ssbullet}
=\sum_{j\le m,k\le l}\Bover{a_{jk}}a
\cdot(a\chi G_j^{\ssbullet})\otimes\chi H_k^{\ssbullet}
\in C$.}
\noindent ($\gamma$) If $w\in L^1(\lambda)^+$ and $\epsilon>0$, express
$w$ as $h^{\ssbullet}$ where $h\ge 0$ in $\eusm L^1(\lambda)$. There
is a simple function $h_1\ge 0$ such that $h_1\leae h$ and
$\int h\le\int h_1+\epsilon$. Express $h_1$ as
$\sum_{i=0}^na_i\chi H_i$
where $\lambda H_i<\infty$ and $a_i\ge 0$ for each $i$, and for each
$i\le n$ choose sets $G_{i0},\ldots,G_{im_i}\in\Sigma$,
$F_{i0},\ldots,F_{im_i}\in\Tau$, all of finite measure, such that
$G_{i0},\ldots,G_{im_i}$ are disjoint and
$\lambda(H_i\symmdiff\bigcup_{j\le m_i}G_{ij}\times
F_{ij})\le\epsilon/(n+1)(a_i+1)$, as in (d) of the proof of 253F. Set
\Centerline{$w_0
=\sum_{i=0}^na_i\sum_{j=0}^{m_i}\chi(G_{ij}\times F_{ij})^{\ssbullet}$.}
\noindent Then $w_0\in C$ because $w_0\in M$ and $w_0\ge 0$. Also
$$\eqalign{\|w-w_0\|_1
&\le\|w-h_1^{\ssbullet}\|_1+\|h_1^{\ssbullet}-w_0\|_1\cr
&\le\int(h-h_1)d\lambda
+\sum_{i=0}^na_i\int|\chi H_i-\sum_{j=0}^{m_i}\chi(G_{ij}\times
F_{ij})|d\lambda\cr
&\le\epsilon+\sum_{i=0}^na_i\lambda(H\symmdiff\bigcup_{j\le
m_i}G_{ij}\times F_{ij})
\le 2\epsilon.\cr}$$
\noindent As $\epsilon$ is arbitrary and $C$ is closed, $w\in C$. As
$w$ is arbitrary, $L^1(\lambda)^+\subseteq C$ and $C=L^1(\lambda)^+$.
\medskip
{\bf (c)} Part (a) tells us that (i)$\Rightarrow$(ii). For the reverse
implication, we need a fragment from the theory of Banach lattices:
$W^+=\{w:w\in W,\,w\ge 0\}$ is a closed set in $W$.
\Prf\ If $w$, $w'\in W$, then
\Centerline{$w=(w-w')+w'\le|w-w'|+w'\le|w-w'|+|w'|$,}
\Centerline{$-w=(w'-w)-w'\le|w-w'|-w'\le|w-w'|+|w'|$,}
\Centerline{$|w|\le|w-w'|+|w'|$,
\quad$|w|-|w'|\le|w-w'|$,}
\noindent because $|w|=w\vee(-w)$ and the order of $W$ is
translation-invariant (241Ec). Similarly, $|w'|-|w|\le|w-w'|$ and
$||w|-|w'||\le|w-w'|$, so $\||w|-|w'|\|\le\|w-w'\|$, by the definition
of Banach lattice (242G). Setting $\phi(w)=|w|-w$, we see that
$\|\phi(w)-\phi(w')\|\le 2\|w-w'\|$ for all $w$, $w'\in W$, so that
$\phi$ is continuous.
Now, because the order is invariant under multiplication by positive
scalars,
\Centerline{$w\ge 0\iff 2w\ge 0\iff w\ge-w\iff w=|w|\iff\phi(w)=0$,}
\noindent so $W^+=\{w:\phi(w)=0\}$ is closed.\ \Qed
Now suppose that (ii) is true, and set
$C_1=\{w:w\in L^1(\lambda),\,Tw\ge 0\}$. Then $C_1$ contains
$u\otimes v$ whenever $u$, $v\ge 0$; but also
it is convex, because $T$ is linear, and closed, because $T$ is
continuous and $C_1=T^{-1}[W^+]$. By (b), $C_1$ includes
$\{w:w\in L^1(\lambda),\,w\ge 0\}$, as required by (i).
}%end of proof of 253G
\leader{253H}{Conditional \dvrocolon{expectations}}\cmmnt{ The ideas
of this section and the preceding one provide us with some of the most
important examples of conditional expectations.
\medskip
\noindent}{\bf Theorem} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
complete probability spaces, with c.l.d.\ product
$(X\times Y,\Lambda,\lambda)$. Set $\Lambda_1=\{E\times Y:E\in\Sigma\}$.
Then $\Lambda_1$ is a $\sigma$-subalgebra of $\Lambda$. Given a
$\lambda$-integrable real-valued function $f$, set
\Centerline{$g(x,y)=\int f(x,z)\nu(dz)$}
\noindent whenever $x\in X$, $y\in Y$ and the integral is defined in
$\Bbb R$. Then $g$ is a conditional expectation of $f$ on $\Lambda_1$.
\proof{ We know that $\Lambda_1\subseteq\Lambda$, by 251Ia, and
$\Lambda_1$ is a $\sigma$-algebra of sets because $\Sigma$ is.
Fubini's theorem (252B, 252C)
tells us that $f_1(x)=\int f(x,z)\nu(dz)$ is defined for almost every
$x$, and therefore that $g=f_1\otimes\chi Y$ is defined almost everywhere
in $X\times Y$. $f_1$ is $\mu$-virtually measurable; because $\mu$ is
complete, $f_1$ is $\Sigma$-measurable, so $g$ is $\Lambda_1$-measurable
(since $\{(x,y):g(x,y)\le\alpha\}=\{x:f_1(x)\le\alpha\}\times Y$ for
every $\alpha\in\Bbb R$). Finally, if $W\in\Lambda_1$, then
$W=E\times Y$ for some $E\in\Sigma$, so
$$\eqalignno{\int_Wg\,d\lambda
&=\int (f_1\otimes\chi Y)\times(\chi E\otimes\chi Y)d\lambda
=\int f_1\times\chi E\,d\mu\int\chi Y\,d\nu\cr
\noalign{\noindent (by 253D)}
&=\iint\chi E(x)f(x,y)\nu(dy)\mu(dx)
=\int f\times\chi(E\times Y)d\lambda\cr
\noalign{\noindent (by Fubini's theorem)}
&=\int_Wf\,d\lambda.\cr}$$
\noindent So $g$ is a conditional expectation of $f$.
}%end of proof of 253H
\leader{253I}{}\cmmnt{ This is a convenient moment to set out a
useful result on products of indefinite-integral measures.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
measure spaces, and $f\in\eusm L^0(\mu)$, $g\in\eusm L^0(\nu)$
non-negative functions. Let $\mu'$, $\nuprime$ be the corresponding
indefinite-integral measures\cmmnt{ (see \S234)}. Let $\lambda$ be
the c.l.d.\ product of $\mu$ and $\nu$, and $\lambda'$ the
indefinite-integral measure defined from $\lambda$ and
$f\otimes g\in\eusm L^0(\lambda)$\cmmnt{ (253Cb)}. Then $\lambda'$ is
the c.l.d.\ product of $\mu'$ and $\nuprime$.
\proof{ Write $\theta$ for the c.l.d.\ product of $\mu'$ and $\nuprime$.
\medskip
{\bf (a)} If we replace $\mu$ by its completion, we do not change $\mu'$
(234Ke); at the same time, we do not change $\lambda$, by 251T.
The same applies to $\nu$. So it will be enough to prove the result on
the assumption that $\mu$ and $\nu$ are complete; in which case $f$ and
$g$ are measurable and have measurable domains.
Set $F=\{x:x\in\dom f,\,f(x)>0\}$ and $G=\{y:y\in\dom g,\,g(y)>0\}$, so
that $F\times G=\{w:w\in\dom(f\otimes g),\,(f\otimes g)(w)>0\}$. Then
$F$ is $\mu'$-conegligible and $G$ is $\nuprime$-conegligible, so
$F\times G$ is $\theta$-conegligible as well as
$\lambda'$-conegligible. Because both $\theta$ and $\lambda'$ are
complete (251Ic, 234I), it will be enough to show that the subspace
measures $\theta_{F\times G}$, $\lambda'_{F\times G}$ on $F\times G$ are
equal. But note that $\theta_{F\times G}$ can be identified with the
product of $\mu_F'$ and $\nu_G'$, where $\mu_F'$ and $\nu_G'$ are the
subspace measures on $F$, $G$ respectively (251Q(ii-$\alpha$)). At the
same time, $\mu_F'$ is the indefinite-integral measure defined from the
subspace measure $\mu_F$ on $F$ and the function $f\restr F$,
$\nu_G'$ is the indefinite-integral measure defined from the subspace
measure $\nu_G$ on $G$ and $g\restr G$, and $\lambda'_{F\times G}$ is
defined from the subspace measure $\lambda_{F\times G}$ and
$(f\restr F)\otimes(g\restr G)$. Finally, by 251Q again,
$\lambda_{F\times G}$ is the product of $\mu_F$ and $\nu_G$.
What all this means is that it will be enough to deal with the case in
which $F=X$ and $G=Y$, that is, $f$ and $g$ are everywhere defined and
strictly positive; which is what I will suppose from now on.
\medskip
{\bf (b)} In this case $\dom\mu'=\Sigma$ and $\dom\nuprime=\Tau$ (234La).
Similarly, $\dom\lambda'=\Lambda$ is just the domain of $\lambda$. Set
\Centerline{$F_n=\{x:x\in X,\,2^{-n}\le f(x)\le 2^n\}$,
\quad$G_n=\{y:y\in Y,\,2^{-n}\le g(y)\le 2^n\}$}
\noindent for $n\in\Bbb N$.
\medskip
{\bf (c)} Set
\Centerline{$\Cal A=\{W:W\in\dom\theta\cap\dom\lambda'$,
$\theta(W)=\lambda'(W)\}$.}
\noindent If $\mu'E$ and $\nuprime H$ are defined and finite, then
$f\times\chi E$ and $g\times\chi H$ are integrable, so
$$\eqalign{\lambda'(E\times H)
&=\int(f\otimes g)\times\chi(E\times H)d\lambda
=\int(f\times\chi E)\otimes(g\times\chi H)d\lambda\cr
&=\int f\times\chi E\,d\mu\cdot\int g\times\chi H\,d\nu
=\theta(E\times H)\cr}$$
\noindent by 253D and 251Ia, that is, $E\times H\in\Cal A$. If we now
look at
$\Cal A_{EH}=\{W:W\subseteq X\times Y$, $W\cap(E\times H)\in\Cal A\}$,
then we see that
\inset{$\Cal A_{EH}$ contains $E'\times H'$ for every $E'\in\Sigma$,
$H'\in\Tau$,}
\inset{if $\sequencen{W_n}$ is a non-decreasing sequence in
$\Cal A_{EH}$ then $\bigcup_{n\in\Bbb N}W_n\in\Cal A_{EH}$,}
\inset{if $W$, $W'\in\Cal A_{EH}$ and $W\subseteq W'$ then
$W'\setminus W\in\Cal A_{EH}$.}
\noindent Thus $\Cal A_{EH}$ is a Dynkin class of subsets of
$X\times Y$, and by the Monotone Class Theorem (136B) includes
the $\sigma$-algebra generated by
$\{E'\times H':E'\in\Sigma,\,H'\in\Tau\}$, which is
$\Sigma\tensorhat\Tau$.
\medskip
{\bf (d)} Now suppose that $W\in\Lambda$. In this case
$W\in\dom\theta$ and $\theta W\le\lambda'W$. \Prf\ Take $n\in\Bbb N$,
and $E\in\Sigma$, $H\in\Tau$ such that $\mu'E$ and $\nuprime H$ are
both finite. Set $E'=E\cap F_n$, $H'=H\cap G_n$ and $W'=W\cap(E'\times
H')$. Then $W'\in\Lambda$, while $\mu E'\le 2^n\mu'E$ and $\nu H'\le
2^n\nuprime H$ are finite. By 251Ib there is a $V\in\Sigma\tensorhat\Tau$
such that $V\subseteq W'$ and $\lambda V=\lambda W'$. Similarly, there
is a $V'\in\Sigma\tensorhat\Tau$ such that $V'\subseteq(E'\times
H')\setminus W'$ and $\lambda V'=\lambda((E'\times H')\setminus W')$.
This means that $\lambda((E'\times H')\setminus(V\cup V'))=0$, so
$\lambda'((E'\times H')\setminus(V\cup V'))=0$. But
$(E'\times H')\setminus(V\cup V')\in\Cal A$, by (c), so $\theta((E'\times H')\setminus(V\cup V'))=0$ and $W'\in\dom\theta$, while
\Centerline{$\theta W'=\theta V=\lambda'V
\le\lambda'W$.}
Since $E$ and $H$ are arbitrary, $W\cap(F_n\times G_n)\in\dom\theta$
(251H) and $\theta(W\cap(F_n\times G_n))\le\lambda'W$. Since
$\sequencen{F_n}$, $\sequencen{G_n}$ are non-decreasing sequences with
unions $X$, $Y$ respectively,
\Centerline{$\theta W=\sup_{n\in\Bbb N}\theta(W\cap(F_n\times G_n))
\le\lambda'W$. \Qed}
\medskip
{\bf (e)} In the same way, $\lambda'W$ is defined and less than or equal
to $\theta W$ for every $W\in\dom\theta$. \Prf\ The arguments are very
similar, but a refinement seems to be necessary at the last stage.
Take $n\in\Bbb N$, and $E\in\Sigma$, $H\in\Tau$ such that $\mu E$
and $\nu H$ are both finite. Set $E'=E\cap F_n$, $H'=H\cap G_n$ and
$W'=W\cap(E'\times H')$. Then $W'\in\dom\theta$, while $\mu'E'\le
2^n\mu E$ and $\nuprime H'\le 2^n\nu H$ are finite. This time, there are
$V$, $V'\in\Sigma\tensorhat\Tau$ such that $V\subseteq W'$,
$V'\subseteq(E'\times H')\setminus W'$, $\theta V=\theta W'$ and
$\theta V'=\theta((E'\times H')\setminus W')$. Accordingly
\Centerline{$\lambda'V+\lambda'V'=\theta V+\theta V'
=\theta(E'\times H')=\lambda'(E'\times H')$,}
\noindent so that $\lambda'W'$ is defined and equal to $\theta W'$.
What this means is that $W\cap(F_n\times G_n)\cap(E\times H)\in\Cal A$
whenever $\mu E$ and $\nu H$ are finite. So
$W\cap(F_n\times G_n)\in\Lambda$, by 251H;
as $n$ is arbitrary, $W\in\Lambda$ and $\lambda'W$ is defined.
\Quer\ Suppose, if possible, that $\lambda'W>\theta W$. Then there is
some $n\in\Bbb N$ such that $\lambda'(W\cap(F_n\times G_n))>\theta W$.
Because $\lambda$ is semi-finite, 213B tells us that there is some
$\lambda$-simple function $h$ such that
$h\le(f\otimes g)\times\chi(W\cap(F_n\times G_n))$ and
$\int h\,d\lambda>\theta W$; setting $V=\{(x,y):h(x,y)>0\}$, we see that $V\subseteq W\cap(F_n\times G_n)$,
$\lambda V$ is defined and finite and $\lambda'V>\theta W$. Now there
must be sets $E\in\Sigma$, $H\in\Tau$ such that $\mu E$ and $\nu F$ are
both finite and
$\lambda(V\setminus(E\times H))<4^{-n}(\lambda'V-\theta W)$. But in this case $V\in\Lambda\subseteq\dom\theta$ (by (d)), so we can apply the argument just above to $V$ and conclude that
$V\cap(E\times H)=V\cap(F_n\times G_n)\cap(E\times H)$ belongs to
$\Cal A$. And now
$$\eqalign{\lambda'V
&=\lambda'(V\cap(E\times H))+\lambda'(V\setminus(E\times H))\cr
&\le\theta(V\cap(E\times H))+4^n\lambda(V\setminus(E\times H))
<\theta V+\lambda'V-\theta W
\le\lambda'V,\cr}$$
\noindent which is absurd.\ \Bang
So $\lambda'W$ is defined and not greater than $\theta W$.\
\Qed
\medskip
{\bf (f)} Putting this together with (d), we see that $\lambda'=\theta$,
as claimed.
}%end of proof of 253I
\cmmnt{\medskip
\noindent{\bf Remark} If $\mu'$ and $\nuprime$ are totally finite, so that
they are `truly continuous' with respect to $\mu$ and $\nu$ in the sense
of 232Ab, then $f$ and $g$ are integrable, so $f\otimes g$ is
$\lambda$-integrable, and $\theta=\lambda'$ is truly continuous with
respect to $\lambda$.
The proof above can be simplified using fragments of the general theory
of complete locally determined spaces, which will be given in \S412 %412J
in Volume 4.}%end of comment
\leader{*253J}{Upper \dvrocolon{integrals}}\cmmnt{ The idea of 253D
can be repeated in terms of upper integrals, as follows.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
$\sigma$-finite measure spaces, with c.l.d.\ product measure $\lambda$.
Then for any functions $f$ and $g$, defined on conegligible subsets of
$X$ and $Y$ respectively, and taking values in $[0,\infty]$,
\Centerline{$\overlineint f\otimes g\,d\lambda
=\overlineint fd\mu\cdot\overlineint g\,d\nu$.}
\cmmnt{\medskip
\noindent{\bf Remark} Here $(f\otimes g)(x,y)=f(x)g(y)$ for all
$x\in\dom f$ and $y\in\dom g$, taking $0\cdot\infty=0$, as in \S135.
}%end of comment
\proof{{\bf (a)} I show first that
$\overline{\int}f\otimes g\le\overline{\int}f\overline{\int}g$. \Prf\
If $\overline{\int}f=0$, then $f=0$ a.e., so $f\otimes g=0$ a.e.\ and
the result is immediate. The same argument applies if
$\overline{\int}g=0$. If both $\overline{\int}f$ and
$\overline{\int}g$ are non-zero, and either is infinite, the result is
trivial. So let us suppose that both are finite. In this case there
are integrable $f_0$, $g_0$ such that $f\leae f_0$, $g\leae g_0$,
$\overline{\int}f=\int f_0$ and $\overline{\int}g=\int g_0$ (133Ja/135Ha).
So $f\otimes g\leae f_0\otimes g_0$, and
\Centerline{$
\overlineint f\otimes g\le\int f_0\otimes g_0
=\int f_0\int g_0=\overlineint f\overlineint g$,}
\noindent by 253D.\ \Qed
\medskip
{\bf (b)} For the reverse inequality, we need consider only the case in
which $\overline{\int}f\otimes g$ is finite, so that there is a
$\lambda$-integrable function $h$ such that $f\otimes g\leae h$ and
$\overline{\int}f\otimes g=\int h$. Set
\Centerline{$f_0(x)=\int h(x,y)\nu(dy)$}
\noindent whenever this is defined in $\Bbb R$, which is almost
everywhere, by Fubini's theorem (252B-252C). Then
$f_0(x)\ge f(x)\overline{\int}g\,d\nu$ for every
$x\in\dom f_0\cap\dom f$, which is a conegligible set in $X$; so
\Centerline{$
\overlineint f\otimes g=\int h\,d\lambda
=\int f_0d\mu\ge\overlineint f\overlineint g$,}
\noindent as required.
}%end of proof of 253J
\leader{*253K}{}\cmmnt{ A similar argument applies to upper
integrals of sums, as follows.
\medskip
\noindent}{\bf Proposition} Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be
probability spaces, with c.l.d.\ product measure $\lambda$. Then for
any real-valued functions $f$, $g$ defined on conegligible subsets of
$X$, $Y$ respectively,
\Centerline{$
\overlineint f(x)+g(y)\,\lambda(d(x,y))
=\overlineint f(x)\mu(dx)+\overlineint g(y)\nu(dy)$,}
\noindent at least when the right-hand side is defined in
$[-\infty,\infty]$.
\proof{Set $h(x,y)=f(x)+g(y)$ for $x\in\dom f$ and $y\in\dom g$, so that
$\dom h$ is $\lambda$-conegligible.
\medskip
{\bf (a)} As in 253J, I start by showing that
$\overline{\int}h\le\overline{\int}f+\overline{\int}g$. \Prf\ If
either $\overline{\int}f$ or $\overline{\int}g$ is $\infty$, this is
trivial. Otherwise, take integrable functions $f_0$, $g_0$ such that
$f\leae f_0$ and $g\leae g_0$. Set
$h_0=(f_0\otimes\chi Y)+(\chi X\otimes g_0)$; then
$h\le h_0\,\,\lambda$-a.e., so
\Centerline{$
\overlineint h\,d\lambda\le\int h_0d\lambda
=\int f_0d\mu+\int g_0d\nu$.}
\noindent As $f_0$, $g_0$ are arbitrary,
$\overline{\int}h\le\overline{\int}f+\overline{\int}g$.\ \Qed
\medskip
{\bf (b)} For the reverse inequality, suppose that $h\le h_0$ for
$\lambda$-almost every $(x,y)$, where $h_0$ is $\lambda$-integrable.
Set $f_0(x)=\int h_0(x,y)\nu(dy)$ whenever this is defined in $\Bbb R$.
Then $f_0(x)\ge f(x)+\overline{\int}g\,d\nu$ whenever $x\in\dom
f\cap\dom f_0$, so
\Centerline{$\int h_0\,d\lambda
=\int f_0d\mu\ge\overlineint fd\mu+\overlineint g\,d\nu$.}
\noindent As $h_0$ is arbitrary,
$\overline{\int}h\ge\overline{\int}f+\overline{\int}g$, as required.
}%end of proof of 253K
\leader{253L}{Complex spaces} As usual, the ideas\cmmnt{ of 253F and
253H} apply essentially unchanged to complex $L^1$ spaces. Writing
$L^1_{\Bbb C}(\mu)$, etc., for the complex $L^1$ spaces involved, we
have the following\cmmnt{ results}.
Throughout, let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$
be measure spaces, and $\lambda$ the c.l.d.\ product measure on
$X\times Y$.
\spheader 253La If $f\in\eusm L^0_{\Bbb C}(\mu)$ and
$g\in\eusm L^0_{\Bbb C}(\nu)$ then $f\otimes g$, defined by the formula
$(f\otimes g)(x,y)=f(x)g(y)$ for $x\in\dom f$ and $y\in\dom g$, belongs
to $\eusm L^0_{\Bbb C}(\lambda)$.
\spheader 253Lb If $f\in\eusm L^1_{\Bbb C}(\mu)$ and
$g\in\eusm L^1_{\Bbb C}(\nu)$ then
$f\otimes g\in\eusm L^1_{\Bbb C}(\lambda)$ and
$\int f\otimes g\,d\lambda=\int fd\mu\int g\,d\nu$.
\spheader 253Lc We have a bilinear operator $(u,v)\mapsto u\otimes v:
L^1_{\Bbb C}(\mu)\times L^1_{\Bbb C}(\nu)\to L^1_{\Bbb C}(\lambda)$
defined by writing $f^{\ssbullet}\otimes g^{\ssbullet}=(f\otimes
g)^{\ssbullet}$ for all $f\in\eusm L^1_{\Bbb C}(\mu)$, $g\in \eusm
L^1_{\Bbb C}(\nu)$.
\spheader 253Ld If $W$ is any complex Banach space and
$\phi:L^1_{\Bbb C}(\mu)\times L^1_{\Bbb C}(\nu)\to W$ is any bounded
bilinear operator, then there is a unique bounded linear operator
$T:L^1_{\Bbb C}(\lambda)\to W$ such that $T(u\otimes v)=\phi(u,v)$ for
every $u\in L^1_{\Bbb C}(\mu)$ and $v\in L^1_{\Bbb C}(\nu)$, and
$\|T\|=\|\phi\|$.
\spheader 253Le If $\mu$ and $\nu$ are complete probability measures,
and $\Lambda_1=\{E\times Y:E\in\Sigma\}$, then for any $f\in\eusm
L^1_{\Bbb C}(\lambda)$ we have a conditional expectation $g$ of $f$ on
$\Lambda_1$ given by setting $g(x,y)=\int f(x,z)\nu(dz)$ whenever this
is defined.
\exercises{
\leader{253X}{Basic exercises $\pmb{>}$(a)}
%\spheader 253Xa
Let $U$, $V$ and $W$ be linear
spaces. Show that the set of
bilinear operators from $U\times V$ to $W$ has a natural linear structure
agreeing with those of $\eurm L(U;\eurm L(V;W))$ and $\eurm L(V;\eurm
L(U;W))$, writing $\eurm L(U;W)$
for the linear space of linear operators from $U$ to $W$.
\sqheader 253Xb Let $U$, $V$ and $W$ be normed spaces. (i)
Show that for a
bilinear operator $\phi:U\times V\to W$ the following are equiveridical:
($\alpha$) $\phi$ is bounded in the sense of 253Ab; ($\beta$) $\phi$ is
continuous; ($\gamma$) $\phi$ is continuous at some point of $U\times
V$. (ii) Show that the space of bounded bilinear operators from $U\times V$
to $W$ is a linear subspace of the space of all bilinear operators from
$U\times V$ to $W$, and that the functional $\|\,\|$ defined in 253Ab is
a norm, agreeing with the norms of $\eurm B(U;\eurm B(V;W))$ and $\eurm
B(V;\eurm B(U;W))$, writing $\eurm B(U;W)$ for the normed space of
bounded linear operators from $U$ to $W$.
\spheader 253Xc Let
$(X_1,\Sigma_1,\mu_1),\ldots,(X_n,\Sigma_n,\mu_n)$ be
measure spaces, and $\lambda$ the c.l.d.\ product measure on
$X_1\times\ldots\times X_n$, as described in 251W. Let $W$ be a
Banach space, and suppose that
$\phi:L^1(\mu_1)\times\ldots\times L^1(\mu_n)\to W$ is {\bf multilinear}
(that is, linear in each variable
separately) and {\bf bounded} (that is,
$\|\phi\|=\sup\{\phi(u_1,\ldots,u_n):
\|u_i\|_1\le 1\Forall i\le n\}<\infty$). Show that there is a unique
bounded linear operator
$T:L^1(\lambda)\to W$ such that $T\otimes=\phi$, where
$\otimes:L^1(\mu_1)\times\ldots\times L^1(\mu_n)\to L^1(\lambda)$ is a
canonical multilinear operator (to be defined).
\spheader 253Xd Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be measure
spaces, and $\lambda$ the c.l.d.\ product measure on $X\times Y$. Show
that if $A\subseteq L^1(\mu)$ and $B\subseteq L^1(\nu)$ are both
uniformly integrable, then $\{u\otimes v:u\in A,\,v\in B\}$ is uniformly
integrable in $L^1(\lambda)$.
\sqheader 253Xe Let $(X,\Sigma,\mu)$ and $(Y,\Tau,\nu)$ be measure
spaces and $\lambda$ the c.l.d.\ product measure on $X\times Y$.
Show that
\quad (i) we have a bilinear operator
$(u,v)\mapsto u\otimes v:L^0(\mu)\times L^0(\nu)\to L^0(\lambda)$
given by setting
$f^{\ssbullet}\otimes g^{\ssbullet}=(f\otimes g)^{\ssbullet}$ for all
$f\in\eusm L^0(\mu)$ and $g\in \eusm L^0(\nu)$;
\quad (ii) if $1\le p\le\infty$ then $u\otimes v\in L^p(\lambda)$ and
$\|u\otimes v\|_p=\|u\|_p\|v\|_p$ for all $u\in L^p(\mu)$ and
$v\in L^p(\nu)$;
\quad (iii) if $u$, $u'\in L^2(\mu)$ and $v$, $v'\in L^2(\nu)$ then the
inner product $\innerprod{u\otimes v}{u'\otimes v'}$, taken in
$L^2(\lambda)$, is just $\innerprod{u}{u'}\innerprod{v}{v'}$;
\quad (iv) the map
$(u,v)\mapsto u\otimes v:L^0(\mu)\times L^0(\nu)\to L^0(\lambda)$
is continuous if $L^0(\mu)$, $L^0(\nu)$ and $L^0(\lambda)$
are all given their topologies of convergence in measure.