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1 files changed, 16 insertions, 12 deletions
diff --git a/convolution.tex b/convolution.tex
index eee6e16..66120f2 100644
--- a/convolution.tex
+++ b/convolution.tex
@@ -42,14 +42,18 @@ as this will facilitate our proof of the convolution formula.
We consider a $\sigma$-finite measure space $(X,\SigmaAlgebra{A},\mu)$,
a separable Fréchet space $Y$ (over $\CC$) and the task is
to define the integral of functions $f \vcentcolon X \to Y$.
-Recall that a measure space is said to be \emph{$\sigma$-finite}
+Recall that a measure space is said to be
+\emph{$\sigma$-finite}
+%\index{sigma-finite@$sigma$-finite} TODO: fix @
+%\nomenclature[A]{$\mathcal{A}'$}{commutant of $\mathcal{A}$}
if it can be exhausted by a countable number of measurable subsets of finite measure.
-By \emph{Fréchet space} we mean a complete Hausdorff locally convex (topological vector) space
+By \emph{Fréchet space}\index{Fréchet space}
+we mean a complete Hausdorff locally convex (topological vector) space
which possesses countable neighborhood bases.
We will make use of a countable family $P@@$ of seminorms that generates the topology of $@@Y$.
A topological space is called \emph{separable} if it contains a countable dense subset.
-A function $f \vcentcolon X \to Y$ will be called \emph{simple}
+A function $f \vcentcolon X \to Y$ will be called \emph{simple}\index{simple function}
if it is of the form $\sum_{i=1}^n \chi_{A_i} y_i$
where $n \in \NN$, $A_i \in \SigmaAlgebra{A}$ with $\mu(A_i) < \infty$, and $y_i \in Y$.
Naturally, the \emph{integral} of $f$ is defined to be the vector $\int f = \sum_{i=1}^n \mu(A_i) y_i \in Y$.
@@ -60,14 +64,14 @@ if it is the $\mu$-almost everywhere pointwise limit of simple functions.
Suppose $(X,\SigmaAlgebra{A},\mu)$ is a $\sigma$-finite measure space,
and $Y@@$ is a separable Fréchet space
whose topology is generated by a family $P@@$ of seminorms.
-A strongly measurable function $f \vcentcolon X \to Y$ is called \emph{(generalized Bochner) integrable}
+ A strongly measurable function $f \vcentcolon X \to Y$ is called \emph{(generalized Bochner) integrable}
if there exists a sequence $(f_n)$ of simple functions such that
\begin{equation}
\label{equation:bochner-integrable}
\lim_{n \to \infty} \int_X p \circ (f_n - f) \, d\mu = 0
\qquad \forall p \in P.
\end{equation}
-In this case, the \emph{(generalized Bochner) integral} of $f$ is defined by
+ In this case, the \emph{(generalized Bochner) integral}\index{Bochner integral!generalized} of $f$ is defined by
\begin{equation}
\label{equation:bochner-integral}
\int_X f \ d\mu \defequal
@@ -226,7 +230,7 @@ Denote by $\TestFunctions{\RR^n}$ the vector space of all functions $f \vcentco
such that the derivatives $\partial^{\alpha} f$ exist and are continuous for all multi-indices $\alpha \in \NN^n$.
Recall that the space $\SchwartzFunctions{\RR^n}$ of \emph{Schwartz functions} is defined to be the vector space
\begin{equation*}
- \SchwartzFunctions{\RR^n,X} \defequal \braces{f \in \TestFunctions{\RR^n} \vcentcolon \norm{f}_{\alpha,\beta} < \infty \ \forall \alpha,\beta \in \NN^n}
+ \SchwartzFunctions{\RR^n} \defequal \braces{f \in \TestFunctions{\RR^n} \vcentcolon \norm{f}_{\alpha,\beta} < \infty \ \forall \alpha,\beta \in \NN^n}
\end{equation*}
equipped with the locally convex topology induced by the family of seminorms
\begin{equation*}
@@ -247,7 +251,7 @@ is defined in the same way as in \cref{definition:convolution-distribution-test-
\end{equation*}
\begin{proposition}{Vector-Valued Convolution Formula}{vector-valued-convolution-formula}
- Let $v \in \TemperedDistributions{\RR^n\!,X}$ be a tempered distribution with values in a separable Fréchet space $X$, and
+ Let $v \in \TemperedDistributions{\RR^n\!,Y}$ be a tempered distribution with values in a separable Fréchet space $Y$, and
let $f \in \SchwartzFunctions{\RR^n}$ be a Schwartz test function. Then one has
\begin{equation*}
(v * f)(g) = \int v(\tau_x \tilde{f}@@) g(x) \, dx \qquad g \in \SchwartzFunctions{\RR^n}.
@@ -256,7 +260,7 @@ is defined in the same way as in \cref{definition:convolution-distribution-test-
\begin{proof}
We fix a Schwartz function $g$, and consider the finite measure $\mu = \abs{g} \lambda$ on $\RR^n$,
- where $\lambda(x) = dx$ is the Lebesgue measure.
+ where $\lambda = dx$ is the Lebesgue measure.
We show that the mapping $x \mapsto \tau_x \tilde{f}$ is a generalized Bochner $\mu$-integrable function $\RR^n \to \SchwartzFunctions{\RR^n}$
using \cref{theorem:generalized-bochner}.
For all $\alpha,\beta \in \NN^n$ we see by substituting $x+y$ for $y$ that
@@ -275,9 +279,9 @@ is defined in the same way as in \cref{definition:convolution-distribution-test-
because $g$ is Schwartz class.
Hence, $x \mapsto \tau_x \tilde{f}$ defines an integrable function.
- The mapping $v \vcentcolon \SchwartzFunctions{\RR^n} \to X$ is linear and continuous by definition.
+ The mapping $v \vcentcolon \SchwartzFunctions{\RR^n} \to Y$ is linear and continuous by definition.
By \cref{theorem:integral-commutes-with-operator},
- the composite mapping $x \mapsto v(\tau_x \tilde{f})$ is a $\mu$-integrable function $\RR^n \to X$, and
+ the composite mapping $x \mapsto v(\tau_x \tilde{f})$ is a $\mu$-integrable function $\RR^n \to Y$, and
\begin{equation}
\label{equation:general-bochner-appears}
\int v(\tau_x \tilde{f}) \, d\mu(x) = v \parens[\bigg]{\int \tau_x \tilde{f} \, d\mu(x)}
@@ -293,11 +297,11 @@ is defined in the same way as in \cref{definition:convolution-distribution-test-
and the proof is complete.
\end{proof}
-Let us point out that even in the special case that $X$ is a Banach space
+Let us point out that even in the special case that $Y$ is a Banach space
the integral on the right hand side of~\eqref{equation:general-bochner-appears}
only has meaning as a generalized Bochner integral,
since the integrand takes values in $\SchwartzFunctions{\RR^n}$,
which is not a Banach space.
We could not have performed this step with the ordinary Bochner integral.
-%\nomenclature[B]{$\BoundedLinearOperators{X,Y}$}{bounded linear operators from $X$ to $Y$\nomnorefpage}
+% vim: syntax=mytex