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The general theory of Lyapunov's stability of first-order differential inclusions in Hilbert spaces has been studied by the authors in a previous work. This new contribution focuses on the natural case when the maximally monotone operator…

Optimization and Control · Mathematics 2013-05-17 Samir Adly , Abderrahim Hantoute , Michel Thera

We study the stability of entropically regularized optimal transport with respect to the marginals. Given marginals converging weakly, we establish a strong convergence for the Schr\"odinger potentials describing the density of the optimal…

Probability · Mathematics 2022-01-26 Marcel Nutz , Johannes Wiesel

Measuring strength or degree of statistical dependence between two random variables is a common problem in many domains. Pearson's correlation coefficient $\rho$ is an accurate measure of linear dependence. We show that $\rho$ is a…

Statistics Theory · Mathematics 2018-04-24 Priyantha Wijayatunga

We investigate covariance shrinkage for Hotelling's $T^2$ in the regime where the data dimension $p$ and the sample size $n$ grow in a fixed ratio -- without assuming that the population covariance matrix is spiked or well-conditioned. When…

Statistics Theory · Mathematics 2025-06-13 Benjamin D. Robinson , Van Latimer

Calling the quantity; 2delta(A)delta(B)/|<[A, B]>|, with non-zero denominator, the uncertainty product ratio or UPR for the pair of observables, (A, B), it is shown that any non-zero correlation coefficient between two observables raises,…

Quantum Physics · Physics 2007-05-23 Gordon N. Fleming

We investigate the decay rates of correlations for nonuniformly hyperbolic systems with or without singularities, on piecewise H\"older observables. By constructing a new scheme of coupling methods using the probability renewal theory, we…

Dynamical Systems · Mathematics 2019-06-28 Sandro Vaienti , Hong-Kun Zhang

This work studies the quantitative stability of the quadratic optimal transport map between a fixed probability density $\rho$ and a probability measure $\mu$ on R^d , which we denote T$\mu$. Assuming that the source density $\rho$ is…

Functional Analysis · Mathematics 2023-03-09 Alex Delalande , Quentin Merigot

In this note, we study Luenberger-type full-state observers for nonlinear systems using contraction theory. We show that if the matrix measure of a suitably defined Jacobian matrix constructed from the dynamics of the system-observer…

Systems and Control · Computer Science 2017-11-16 Samuel Coogan , Murat Arcak

One of the many remarkable features of MHV scattering amplitudes is their conjectured equality to lightlike polygon Wilson loops, which apparently holds at all orders in perturbation theory as well as non-perturbatively. This duality is…

Given a subset $A \subseteq \{0,1\}^n$, let $\mu(A)$ be the maximal ratio between $\ell_4$ and $\ell_2$ norms of a function whose Fourier support is a subset of $A$. We make some simple observations about the connections between $\mu(A)$…

Combinatorics · Mathematics 2018-06-12 Naomi Kirshner , Alex Samorodnitsky

Recent studies on stability and contractivity have highlighted the importance of semi-inner products, which we refer to as pairings, associated with general norms. A pairing is a binary operation that relates the derivative of a curve's…

Optimization and Control · Mathematics 2026-04-03 Anton V. Proskurnikov , Francesco Bullo

It is well known that increasing functions do not preserve operator order in general; nor do decreasing functions reverse operator order. However, operator monotone increasing or operator monotone decreasing do. In this article, we employ a…

Functional Analysis · Mathematics 2021-02-16 Gholamreza Karamali , Hamid Reza Moradi , Mohammad Sababheh

In this paper, we study the problem of testing whether or not a given probability measure $\mu$ on $\mathbb{R}^{d}$ can be decomposed as a mixture of two probability measures whose second order statistics are significantly different. We…

Probability · Mathematics 2026-05-26 March T. Boedihardjo , Joe Kileel , Vandy Tombs

In this article we study the pair correlation statistic for higher dimensional sequences. We show that for any $d\geq 2$, strictly increasing sequences $(a_n^{(1)}),\ldots, (a_n^{(d)})$ of natural numbers have metric Poissonian pair…

Number Theory · Mathematics 2023-08-21 Tanmoy Bera , Mithun Kumar Das , Anirban Mukhopadhyay

In this article we extend the coupling method from classical probability theory to quantum Markov chains on atomic von Neumann algebras. In particular, we establish a coupling inequality, which allow us to estimate convergence rates by…

Operator Algebras · Mathematics 2014-02-12 Burkhard Kümmerer , Kay Schwieger

In this paper, we remark that any optimal coupling for the quadratic Wasserstein distance $W^2_2(\mu,\nu)$ between two probability measures $\mu$ and $\nu$ with finite second order moments on $\mathbb{R}^d$ is the composition of a…

Probability · Mathematics 2019-12-24 Aurélien Alfonsi , Benjamin Jourdain

Let $X = \{1,-1\}^\mathbb{N}$ be the symbolic space endowed with the product order. A Borel probability measure $\mu$ over $X$ is said to satisfy the FKG inequality if for any pair of continuous increasing functions $f$ and $g$ we have…

Dynamical Systems · Mathematics 2017-09-27 Leandro Cioletti , Artur O. Lopes

Divergences that occur in density matrices of decay and scattering processes are shown to be regularized by tracing and unitarity or the optical theorem. These divergences are regularized by the lifetime of the decaying particle or the…

High Energy Physics - Phenomenology · Physics 2024-06-13 Shanmuka Shivashankara , Patti Rizzo , Nicole Cafe

Given low order moment information over the random variables $\mathbf{X} = (X_1,X_2,\ldots,X_p)$ and $Y$, what distribution minimizes the Hirschfeld-Gebelein-R\'{e}nyi (HGR) maximal correlation coefficient between $\mathbf{X}$ and $Y$,…

Information Theory · Computer Science 2015-04-24 Farzan Farnia , Meisam Razaviyayn , Sreeram Kannan , David Tse

Yurinskii's coupling is a popular theoretical tool for non-asymptotic distributional analysis in mathematical statistics and applied probability, offering a Gaussian strong approximation with an explicit error bound under easily verifiable…

Statistics Theory · Mathematics 2025-08-05 Matias D. Cattaneo , Ricardo P. Masini , William G. Underwood
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