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Banach spaces, function spaces, real functions, integral transforms, theory of distributions, measure theory.
37
votes
Accepted
Does there exist a measurable function which is not a.e. "strongly" measurable?
No. In fact, every Lebesgue measurable function $f\colon I\to E$ is equal almost everywhere to a limit of simple Lebesgue measurable functions. As you hint at in the question, this is easy to show in …
19
votes
Polish spaces in probability
There's already been some good responses, but I think it's worth adding a very simple example showing what can go wrong if you don't use Polish spaces.
Consider $\mathbb{R}$ under its usual topology, …
15
votes
Do distance functionals separate probability measures?
No. Suppose that $\Omega$ consists of four points arranged in a square, where adjacent points have distance 1 between them and opposite points have distance 2. Specifically, if the points are labeled …
15
votes
Accepted
Can an operator have Exp(z) as its characteristic "polynomial"?
Here's a proof that $\exp(z)$ is not a characteristic function using the product expansion for the determinant, which is essentially equivalent to Lidskii's theorem stating that the trace of a trace c …
13
votes
Accepted
What is a Gaussian measure?
You could alternatively try defining Gaussian measures as $2$-stable distributions. This does remove any reliance on finite dimensional projections, and even removes reference to topology. Let $V$ be …
12
votes
Accepted
Dense sets in the space of continuous functions
No, $S$ does not have to span $C(X)$.
Taking the case with $X=[0,1]$, let $\mu$ be any atomless finite signed measure whose positive and negative parts $\mu^+$,$\mu^-$ have full support, so that $\mu …
11
votes
Accepted
Extending state space to make a process Feller
Yes, it is possible to extend the state space with respect to which $Y$ is a Feller process. Then, $X$ will be a dense open subset of the extension $\hat X$. Furthermore, for any initial distribution …
8
votes
Accepted
Does infinite-dimensional Brownian motion live in hyperplanes?
As suggested in my comment, here's a simple fact which applies to any probability measure $\mu$ on (the Borel σ-algebra of) a second countable topological space $X$. There is a unique minimal closed s …
8
votes
A counter example to Hahn-Banach separation theorem of convex sets.
The Hahn-Banach theorem for a locally convex space X says that for any disjoint pair of convex sets A, B with A closed and B compact, there is a linear functional $l\in X^*$ separating A and B. So, it …
8
votes
Accepted
$L^\infty$ properties of an infinite-dimensional Gaussian semigroup
As suggested in the question, $P_t$ need not be a well defined operator on $L^\infty(W,\mu)$. That is, $F$ can be zero $\mu$-almost everywhere, but $P_tF$ is nonzero on a set of positive $\mu$-measure …
7
votes
Accepted
Compactness of the set of densities of equivalent martingale measures
The set $Z_{\mathcal{P^\ast}}$ is never compact except in the case where it is a singleton (or empty). This is for the general case with $S=(S^1,S^2,\ldots,S^d)$ being an $\mathbb{R}^d$-valued semimar …
6
votes
Accepted
Does every operator from a Hilbert space to $L^0$ factor through a canonical one?
Yes, it is true that every such operator factors through a canonical map.
Theorem: Let $(\Omega,\mathcal{F},\mathbb{P})$ be a probability space and $A\colon H\to L^0(\mathbb{P})$ be a continuous l …
4
votes
Accepted
Continuous selections from sums of compact sets
No, there does not exist any such universal constant C.
I'll build up a counterexample inductively. First, suppose that we have the following.
(i) Let $K_1,K_2$ be compact and absolutely convex s …
3
votes
Accepted
Existence of dominating measure for weak*-compact set of measures
There always exists a dominating measure.
First, given two finite measures $\mu,\nu$ on $(\Omega,\mathcal{F})$, the Lebesgue decomposition theorem says that there is an $A\in\mathcal{F}$ such that $1 …
3
votes
Accepted
Expectation comparison inequality for concave function of symmetric random variables
It is true that there is a universal constant $c$ such that $\mathbb E[f(Z)]\le c\mathbb E[f(Y)]$. The best (smallest) value for $c$ that I can prove now is $c=2.187...$, but expect that it holds for …