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In this paper we show a density property for fractional weighted Sobolev spaces. That is, we prove that any function in a fractional weighted Sobolev space can be approximated by a smooth function with compact support. The additional…

Analysis of PDEs · Mathematics 2015-01-21 Serena Dipierro , Enrico Valdinoci

By adapting the mass transportation technique of Cordero-Erausquin, Nazaret and Villani, we obtain a family of sharp Sobolev and Gagliardo-Nirenberg (GN) inequalities on the half space $\mathbf{R}^{n-1}\times\mathbf{R}_+$, $n\geq 1$…

Functional Analysis · Mathematics 2015-05-20 Van Hoang Nguyen

We study hypercontractivity for the underdamped Langevin dynamics with a convex confining potential. Unlike in the overdamped case, the noise acts only on the velocity variable, so the usual argument based on the logarithmic Sobolev…

Analysis of PDEs · Mathematics 2026-05-26 Bowen Li , Jianfeng Lu

Sobolev embeddings, of arbitrary order, are considered into function spaces on domains of $\mathbb R^n$ endowed with measures whose decay on balls is dominated by a power $d$ of their radius. Norms in arbitrary rearrangement-invariant…

Functional Analysis · Mathematics 2019-12-10 Andrea Cianchi , Luboš Pick , Lenka Slavíková

In this paper, we present recent stability results with explicit and dimensionally sharp constants and optimal norms for the Sobolev inequality and for the Gaussian logarithmic Sobolev inequality obtained by the authors in [24]. The…

Analysis of PDEs · Mathematics 2024-04-23 Jean Dolbeault , Maria J. Esteban , Alessio Figalli , Rupert Frank , Michael Loss

In this note we give a simple, dimension independent, proof of the logarithmic Sobolev inequality on the Heisenberg groups $H_n=\R^{2n+1}$ using the measure preserving transformations of the Brownian motion. We have corrected some serious…

Probability · Mathematics 2023-02-07 Ali Süleyman Üstünel

We employ a Markov semigroup approach combined with the $\Gamma$-calculus to establish a generalized Beckner inequality associated with weighted Gaussian measures. As a direct consequence, we derive the corresponding Poincar\'e inequality…

Functional Analysis · Mathematics 2026-04-21 Nguyen Lam , Guozhen Lu , Andrey Russanov

In this paper, we develop approximation error estimates as well as corresponding inverse inequalities for B-splines of maximum smoothness, where both the function to be approximated and the approximation error are measured in standard…

Numerical Analysis · Mathematics 2017-05-16 Stefan Takacs , Thomas Takacs

We develop a new method to obtain symmetrization inequalities of Sobolev type. Our approach leads to new inequalities and considerable simplification in the theory of embeddings of Sobolev spaces based on rearrangement invariant spaces.

Functional Analysis · Mathematics 2007-06-21 Joaquim Martin , Mario Milman , Evgeniy Pustylnik

We focus on the log-Sobolev inequality for spin systems on the lattice with interactions of higher order than quadratic. We show that if the one-dimensional single-site measure with boundaries satisfies the log-Sobolev inequality uniformly…

Functional Analysis · Mathematics 2020-01-24 James Inglis , Ioannis Papageorgiou

On the framework of the 2-adic group Z_2, we study a Sobolev-like inequality where we estimate the L^2 norm by a geometric mean of the BV norm and the Besov space B(-1,\infty,\infty) norm. We first show, using the special topological…

Analysis of PDEs · Mathematics 2010-11-04 Diego Chamorro

We generalize in this short paper the classical Luzin's theorem about existence of integral on the measurable function and its multidimensional analogues on the many popular classes of rearrangement invariant (r.i.) spaces, namely, on the…

Functional Analysis · Mathematics 2015-02-12 E. Ostrovsky , L Sirota

In this note we present a new proof of Sobolev's inequality under a uniform lower bound of the Ricci curvature. This result was initially obtained in 1983 by Ilias. Our goal is to present a very short proof, to give a review of the famous…

Analysis of PDEs · Mathematics 2021-01-21 Louis Dupaigne , Ivan Gentil , Simon Zugmeyer

We prove logarithmic Sobolev inequality for measures $$ q^n(x^n)=\text{dist}(X^n)=\exp\bigl(-V(x^n)\bigr), \quad x^n\in \Bbb R^n, $$ under the assumptions that: (i) the conditional distributions $$ Q_i(\cdot| x_j, j\neq i)=\text{dist}(X_i|…

Probability · Mathematics 2015-06-23 Katalin Marton

In this article, we show that a function $f\in M^{s,p}(X),$ $0<s\leq 1,$ $0<p<1,$ where $X$ is a doubling metric measure space, has generalized Lebesgue points outside a set of $\mathcal{H}^h$-Hausdorff measure zero for a suitable gauge…

Functional Analysis · Mathematics 2015-06-29 Nijjwal Karak

We prove a sharp Log-Sobolev inequality for submanifolds of a complete non-compact Riemannian manifold with asymptotic non-negative intermediate Ricci curvature and Euclidean volume growth. Our work extends a result of Dong-Lin-Lu which…

Differential Geometry · Mathematics 2023-07-12 Jihye Lee , Fabio Ricci

In this article we study generalization of the classical Talagrand transport-entropy inequality in which the Wasserstein distance is replaced by the entropic transportation cost. This class of inequalities has been introduced in the recent…

Probability · Mathematics 2019-07-02 Giovanni Conforti , Luigia Ripani

We introduce a priori Sobolev-space error estimates for the solution of nonlinear, and possibly parametric, PDEs using Gaussian process and kernel based methods. The primary assumptions are: (1) a continuous embedding of the reproducing…

Numerical Analysis · Mathematics 2023-05-10 Pau Batlle , Yifan Chen , Bamdad Hosseini , Houman Owhadi , Andrew M Stuart

We establish a Sobolev-type inequality in Lorentz spaces for $\mathcal{L}$-superharmonic functions \[ \|u\|_{L^{\frac{nq}{n-\alpha q},t}(\mathbb{R}^n)} \leq c \left\| \frac{u(x) - u(y)}{|x-y|^{\frac{n}{q}+\alpha}}…

Analysis of PDEs · Mathematics 2025-07-15 Aye Chan May , Adisak Seesanea

We propose an algorithm to approximate solutions of global optimization problems in Sobolev spaces that follows the spirit of Consensus-based algorithms in finite dimensions. The main ingredient are Gaussian processes. In fact, we exploit…

Optimization and Control · Mathematics 2026-03-17 Mahmoud Khatab , Claudia Totzeck