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3 votes
2 answers
757 views

Multi-marginal optimal transport

The notion of Wasserstein distance between two probability measures is well-studied and well-motivated in many different branches of math and stat. Let $\mu$ and $\nu$ be any two probability measures ...
math-Student's user avatar
  • 1,109
5 votes
1 answer
358 views

Pisier's property $(\alpha)$

Let $\Omega$ be a probability space. Suppose $(\epsilon_i)_{1\leq i\leq n}$ is a sequence of i.i.d. Bernoulli random variables on $\Omega,$ i.e. $(\epsilon_i)_{1\leq i\leq n}$ are independent and $P(\...
Mathbuff's user avatar
  • 455
2 votes
0 answers
60 views

Mean width of intersection of two elipsoid

My question is regarding mean widths. For a set $\mathcal{T}$ define the mean width \begin{align*} \omega(T)=\mathbb{E}_{\mathbf{g}\sim\mathcal{N}(0,\mathbf{I})}\bigg[\underset{\mathbf{u}\in\mathcal{...
Anahita's user avatar
  • 363
7 votes
2 answers
460 views

Gaussian Surface Area of Positive Semidefinite Cone

Let $\mathbb{R}^n$ be the Euclidean space and $A \subseteq \mathbb{R}^n$ be a sufficiently regular set, e.g., one that has smooth boundary or is convex. We define the $\epsilon$-neighbor of $A$ in the ...
Minkov's user avatar
  • 1,127
1 vote
0 answers
100 views

Convergence and boundedness in $L^\infty([0,T]\times \Omega)$ of Karhunen-Loeve expansion

Let $X:[0,T]\times\Omega\rightarrow\mathbb{R}$ be a stochastic process in $L^2([0,T]\times\Omega)$. Consider the Karhunen-Loeve expansion of $X$: $$ X(t,\omega)=\mu_X(t)+\sum_{n=1}^\infty \sqrt{\nu_n}\...
user39756's user avatar
  • 141
1 vote
1 answer
203 views

Why study the moment problem in one dimensional case( Hamburger moment problem)

I have been reading about moment problem and I have been curious about the following question. What is the motivation for studying the Hamburger moment problem(one dimensional moment problem? I ...
Jaynot's user avatar
  • 125
7 votes
0 answers
549 views

Counter-example to the completeness of the Wasserstein metric

$\newcommand{\P}{\mathcal{P}}$ Let $(E,d)$ be a complete metric space, let $\P(E)$ be the set of all probability measures on $(E,\mathcal{B}(E))$. Let $W_d$ be the $1$-Wasserstein (Kantorovich) ...
Oleg's user avatar
  • 931
8 votes
0 answers
211 views

Superharmonic functions and amenability

Let $G$ be a group generated by a finite set $S$. Let $P$ be a Markov operator defined by the uniform measure on $S$. A function is superharmonic if $Pf\leq f$. Assume that there is a set of non-...
Kate Juschenko's user avatar
1 vote
1 answer
289 views

Maximizing linear function (not necessarily continuous) over a compact, closed and convex domain

I am interested in studying the following problem: \begin{align} \sup_{\mu \in \mathcal{D} } \int_{\mathbb{R}} f(x) d\mu(x) \end{align} where $\mu$ is a probability measure. Assume that $\mathcal{D}$ ...
Boby's user avatar
  • 671
2 votes
2 answers
351 views

Weak convergence for discrete-time processes using characteristic functions

I am looking for a good reference about the analogues of the Bochner Theorem and the Lévy Continuity Theorem for probability measures on $\mathbb{R}^{\mathbb{N}}$ with the product topology. ...
Abdelmalek Abdesselam's user avatar
7 votes
1 answer
624 views

Expectation involving maximum of Gaussian variables

Let $X\sim N(0, I_d)$ be a $d$-dimensional Gaussian random vector. Let $W_1, \ldots, W_k \in \mathbb{R}^d$ be $k$ fixed vectors in general positions. It is clear that $w_i^\top X, \ldots, w_k^\top X$ ...
Steve's user avatar
  • 1,127
2 votes
0 answers
86 views

when is the average of a function with Gaussian inputs bounded away from zero

Define a function $\phi(x):\mathbb{R}\rightarrow\mathbb{R}$. Consider the expected value function defined as follows \begin{align*} \mu(\beta)=E[g\phi (\beta g)]\quad with \quad g\sim\mathcal{N}(0,1)\...
Anahita's user avatar
  • 363
2 votes
0 answers
332 views

Convergence of probability measures with respect to sequentially weak continuous functions

Consider a separable Banach space $X$. The Borel $\sigma$-algebra $\mathcal{B}$ of $X$ is the same when taken with respect to the weak or strong topology. Hence, the space of probability measures over ...
Jorge E. Cardona's user avatar
3 votes
1 answer
157 views

Bound for expectation of function of 3 normal distributions

Let $X,Y,Z$ be three standard normal distribution. Let $\rho_{XY},\rho_{YZ},\rho_{XZ}$ be the correlation between those random variables. Let $f()$ be a monotone, odd, bounded, and differentiable ...
clj's user avatar
  • 31
1 vote
0 answers
336 views

Existence of solution for Poisson equation in Markov chain

Consider $X_n\in \mathcal{X}$ a controlled Markov chain taking value in a compact set $\mathcal{X}$ with action $a\in \mathcal{A}$, where the action set $|\mathcal{A}|$ is finite. (In particular, we ...
Sung-En Chiu's user avatar
8 votes
2 answers
849 views

Is the Gaussian Correlation Inequality universal?

T. Royen proved the Gaussian correlation inequality in the context of Gamma distributions back in 2014, which was since popularized by Latala and Matlak. The properties of Gaussian integration seem ...
John Jiang's user avatar
  • 4,466
3 votes
1 answer
416 views

Rademacher average involving minima

Let $B\subset\mathbb{R}^d$ be the Euclidean $d$-dimensional unit ball. It is well-known that for any $x_1,\ldots,x_n\in B$, we have the following upper bound on the Rademacher complexity $$ R_n := \...
Aryeh Kontorovich's user avatar
6 votes
0 answers
388 views

Closedness of a set of measures, where conditional marginals are in closed $\varepsilon$-ball w.r.t. Wasserstein distance

Let $(E,d)$ be a bounded polish space (separable, complete metric space satisfying $\sup_{x,y\in E} d(x,y) < \infty$). By $\mathcal{P}(E)$ we denote the space of Borel probability measures on $E$ ...
Steve's user avatar
  • 1,095
1 vote
1 answer
183 views

Diffuse measure space as a product of $[0;1]$ and another diffuse measure space

The title speaks of itself. How far is an arbitrary finite diffuse measure space from being almost isomorphic to a product of $[0;1]$ with another diffuse measure space? What would be reasonable ...
Bedovlat's user avatar
  • 1,959
1 vote
0 answers
87 views

Linear evolution equation $u'(t)=A(t,\omega)u(t)$ with time-dependent random operator

I have had some previous knowledge on evolution equations in a Banach space of the form $$u'(t)=Au(t),$$ where $A$ generates some strongly continuous operator semigroup. Now I am looking at a problem ...
Chuwei Zhang's user avatar
7 votes
0 answers
3k views

What is vague convergence and what does it accomplish?

For convenience, let's say that I have a locally compact Hausdorff space $X$ and am concerned with probability measures on its Borel $\sigma$-algebra $\mathcal{B}(X)$. Natural vector spaces to ...
Greg Zitelli's user avatar
  • 1,124
4 votes
1 answer
225 views

Multivariate Zero-Bias Transform

The zero-bias transform for a univariate random variable $W$ is defined as a random variable $W^*$ satisfying \begin{align} \mathbb{E} [ W \cdot f(W )] = \mathbb{E} [ f' (W^*)] \end{align} for any ...
Steve's user avatar
  • 1,127
2 votes
1 answer
338 views

complex version of Gaussian integral

in DaPrato/Zabczyk's book "Second Order Partial Differential Equations in Hilbert Spaces", there is a useful proposition (Prop. 1.2.8) about a particular calculation of a Gaussian integral in Hilbert ...
Philipp Wacker's user avatar
1 vote
0 answers
96 views

Infimum of equivalent measures

Suppose I have a functional of the form $$ F(\mathbb{P})\triangleq \int_{\mathbb{R}^d} \int_{\Omega}f(x,\omega)\mathbb{P}(d\omega)m(dx), $$ where $m$ is the Lebesgue measure and $\mathbb{P}$ is a ...
Mr Library Guy's user avatar
27 votes
5 answers
3k views

Nice applications for Schwartz distributions

I am to teach a second year grad course in analysis with focus on Schwartz distributions. Among the core topics I intend to cover are: Some multilinear algebra including the Kernel Theorem and ...
Abdelmalek Abdesselam's user avatar
4 votes
2 answers
543 views

Gaussian measure on Banach space

Assume we have a Gaussian measure $\mu$ supported on a Banach space $X$. Can we always find a Hilbert space $H$ embedded in $X$ sch that $\mu$ is also supported on $H$?
madhuresh's user avatar
9 votes
2 answers
548 views

What mode of convergence is this?

I'm interested in a new (to me) mode of convergence which is stronger than convergence in measure/probability. I want to know if it has a name and if it is used much in the literature. I will write ...
Jason Rute's user avatar
  • 6,287
2 votes
0 answers
67 views

Measurability / Integrability of a monotone transformation of random variables

I am trying to wrap my head around the following statement, which involves a monotone transformation of random variables. Let $n\in\mathbb{N}$ be fix and $\{A_{i}\}_{i=1,\ldots,n}$ a family of non-...
Mark's user avatar
  • 169
5 votes
0 answers
166 views

Fourier basis for sub-Gaussian spaces?

Let $(\mathcal{X}, \pi)$ be a probability space such that $\pi$ has full support. Consider $L^2(\mathcal{X},\pi)$ to be the inner product space of function $f: \mathcal{X}^n \to \mathbb{R}$, with ...
Kcafe's user avatar
  • 519
3 votes
0 answers
78 views

Perscribed/Inverting Conditional Expectation

I'm having difficulty finding papers which deal with the following inversion problem. Suppose I have a stochastic process $Y_t$ (which is described by a certain Hilbert-Space-valued SDE). I want to ...
ABIM's user avatar
  • 5,405
4 votes
0 answers
414 views

Definition of the Stratonovich integral in Hilbert spaces

Let $T>0$ $(\Omega,\mathcal A,\operatorname P)$ be a probability space $\mathcal F=(\mathcal F_t)_{t\in[0,\:T]}$ be a filtration on $(\Omega,\mathcal A,\operatorname P)$ $B$ be a (standard, real-...
0xbadf00d's user avatar
  • 167
4 votes
0 answers
269 views

Algebras and $\sigma$-algebras associated to random variables

Let $\{v_\lambda:~\lambda\in\Lambda\}$ be a family of real-valued random variables on a (complete) probability space $(\Omega, \sigma, \mathbb{P})$. Assume the variables lie in $\bigcap_{p=1}^\infty L^...
Ollie's user avatar
  • 1,411
2 votes
1 answer
115 views

Normalization of Gaussian w.r.t. Gaussian in a Banach space

I would like to compute $$\int_X \exp\left(-\frac{1}{2}(Au)^2\right)\mathrm d\mu_0(u)$$ with a linear and continuous operator on a Banach space $A:X\to \mathbb R$ (in my case $X=C([0,1])$) and $\mu_0$ ...
Philipp Wacker's user avatar
1 vote
1 answer
165 views

Decomposition of $L^2$-spaces and singular measures

If $\langle \Omega, \mathfrak{F}, \mathbb{P}\rangle$ is a measure space and $L^2$ is the corresponding $L^2$ space and $$ K\oplus K^{\perp} \cong L^2(\mathfrak{F},\mathbb{P}). $$ Then let: $$ \...
Rombaldo Meniscus's user avatar
0 votes
1 answer
198 views

The eigenfunctions of an operator commuting with all rotations.

When reading the paper E. Carlen, J. Geronimo & M. Loss: SIAM J. MATH. ANAL., vol. 40, no. 1, 327-374 I found an argument like the following. Given an bounded and self-adjoint linear operator ...
gregarki khayal's user avatar
6 votes
0 answers
281 views

Covariance operator analogue for manifolds and respective measure manifolds

Assume $E$ is a connected riemannian manifold with geodesic metric space structure given by $d$ and $P$ is a probability measure over $E$ with Borel sigma-algebra given by this metric structure. Also ...
Nik Bren's user avatar
  • 519
1 vote
1 answer
377 views

Ergodicity of the product Markov chain

$\def\P{\mathsf{P}}$ Let $(X_n)_{n\in\mathbb{Z}_+}$ be a Markov chain with a transition kernel $P(x,dy)$. Consider now a product Markov chain $(X^1_n,X^2_n)_{n\in\mathbb{Z}_+}$ with the transition ...
John's user avatar
  • 21
3 votes
1 answer
864 views

Basic properties of the conditional expectation in Banach spaces

Let $E_1$ be a normed $\mathbb R$-vector space $E_2$ be a separable $\mathbb R$-Banach space $(\Omega,\mathcal A,\operatorname P)$ be a probability space $\mathcal F\subseteq\mathcal A$ be a $\sigma$-...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
112 views

Orlicz spaces and $\phi$-functions

A $\phi$-function $f$ is usually defined as a continuous function $f=\mathbb R_+ \to \mathbb R_+$ such that: (1) $f$ is nondecreasing. (2) $f(0)=0$ and $f(x)>0$ for all $x>0$. (3) $\lim_{x\to ...
Thomas's user avatar
  • 630
6 votes
2 answers
748 views

Does there exist a stochastic time derivative?

The Setup Suppose I have a stochastic process $f(Z_t)$ where $Z_t$ solve the $d$-dimensional SDE $$ dZ_t = \mu(t,Z_t)dt + \sigma(t,Z_t)dW_t $$ and $f$ is a smooth function. My Question Is there a ...
ABIM's user avatar
  • 5,405
5 votes
2 answers
673 views

Regular Dirichlet form and the associated transition kernel

I am reading a paper by Fukushima "On a stochastic calculus related to Dirichlet forms and distorted Brownian motions" and support it by a book "Dirichlet forms and symmetric Markov processes" by ...
tuko's user avatar
  • 51
2 votes
1 answer
401 views

Reference on Probability theory on functional spaces (in special Hilbert spaces)

Currently, I am working on some sort of stochastic optimization problems defined over function spaces. I am familiar with standard probability theory (R. Durrett, ''Probability: Theory and Examples")...
Mohammad Khosravi's user avatar
4 votes
0 answers
271 views

Concentration of infinite-dimensional Gaussian measure

I have the question about finding the subspace of concentration of a Gaussian Measure. More precisely: $\textbf{Question:}$ Assume we have a separable Hilbert space $\ell_2$ with Borel $\sigma$-...
Fedor Goncharov's user avatar
3 votes
0 answers
140 views

Sufficient condition for the unique solvability of Dirichlet problem of Hamilton-Jacobi equation

It shall be an old story in PDE. I am looking for a sufficient condition of Dirichlet problem for the existence of the unique viscosity solution of the equation in the form of $$\inf_{a \in [-1,1]} \{...
kenneth's user avatar
  • 1,399
3 votes
1 answer
164 views

Representation of support of Gaussian measure by kernels of no-variance functionals

Let $\mu$ be a Gaussian measure on a separable Banach space $X$ and $q$ is the covariance operator of $\mu$. I am reading a proof for $$\operatorname {supp} \mu = \bigcap_{q(f, f) = 0} \ker f =: E$$ ...
Philipp Wacker's user avatar
0 votes
1 answer
217 views

Reproducing Kernel Hilbert Spaces with positive kernels

In my research I'm dealing with the following question. Let $E$ set, $K:E \times E \to \mathbb R$ a positive type function, and $\mathcal H := \mathcal H(1+K)$ (in the sense of the Moore theorem). ...
3Matrolod's user avatar
2 votes
1 answer
5k views

Smooth Approximation of Indicator Function of Convex Sets in $\mathbb{R}^n$

Let $( \mathbb{R}^n, \| \cdot \|_P)$ be the $n$-dimensional Euclidean space equipped with $\ell_p$-norm $\| \cdot \|_p$ for some $p\in [1, + \infty]$. Let $A$ be a convex set in $\mathbb{R}^n$ and ...
Steve's user avatar
  • 1,127
0 votes
0 answers
252 views

Hadamard product (Schur product) in $L^2[0,1]$

Let's consider the separable Hilbert space $\mathcal{H} = L^2[0,1]$ of square-integrable functions on the interval $[0,1]$ with orthonormal basis $(e_j)$. For $x,y \in \mathcal{H}$, the Hadamard ...
Obriareos's user avatar
  • 195
2 votes
0 answers
149 views

Question about continuity in the "complete Skorohod Topology"?

I am reading the book in progress of Timo Seppäläinen about the "Translation Invariant Exclusion Process" https://www.math.wisc.edu/~seppalai/excl-book/ajo.pdf In one of the exercises, exercise 8.9 ...
Mario Antonio Ayala Valenzuela's user avatar
2 votes
1 answer
357 views

Measurability of integrals with respect to different measures

Let $Y$ be a locally compact Hausdorff topological space (further assumptions like metrizability, separability, etc., may be added if necessary) and let $\mathscr Y$ denote the Borel $\sigma$-algebra ...
triple_sec's user avatar

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