We know that there are many versions for the fixed point theorem and they have many applications.
I would like to know whether there is one has an application in Measure Theory.
And I would be grateful if I was informed good references about it.
We know that there are many versions for the fixed point theorem and they have many applications.
I would like to know whether there is one has an application in Measure Theory.
And I would be grateful if I was informed good references about it.
On
The existence of an invariant probability distribution for a Markov process follows naturally from a fixed point argument, indeed an invariant distribution is essentially defined to be a fixed point.
Let $X$ be a compact metrizable space, $\Delta(X)$ be the space of Borel probability measures on $X$ endowed with the weak*-topology induced by identifying it with a subset of $C(X)^*$. Let $k:X\to\Delta(A)$ be continuous. The function $\phi:\Delta(X)\to\Delta(X)$ given by $$\phi(\mu)(A)=\int k(x)(A)~\mathrm d\mu(x)$$ for $A$ each Borel subset of $X$ is a continuous function from a compact convex subset of locally convex Hausdorff topological vector space to itself and has a fixed point by the Schauder–Tychonoff fixed point theorem. Such a fixpoint is exactly an invariant distribution. Any book on random dynamical systems will contain this result, proven in essentially this way.
From the Kakutani's fixed point theorem:
One can deduce the existence of Haar's measures on compact topological groups:
Reference. A. Weil. L’intégration dans les groupes topologiques et ses applications. Hermann, 1965.