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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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4794141188 · May 202619922001200920172026
48 results for log Sobolev inequality

Log Sobolev and Michael Simon inequalities for tensor fields on curved manifolds.

problem Establishing inequalities for tensor fields on curved manifolds.
method Applying the ABP method to symmetric tensor fields on manifolds with nonnegative sectional curvature.
result Log Sobolev and Michael Simon inequalities for tensor fields.

Log-Sobolev inequality proven for submanifolds in specific types of manifolds.

problem Proving Log-Sobolev inequality for submanifolds in asymptotic non-negative intermediate Ricci curvature manifolds.
method Extending previous results, proving inequality for submanifolds in specific types of manifolds.
result Sharp Log-Sobolev inequality proven for submanifolds in complete non-compact Riemannian manifolds with asymptotic non-negative intermediate Ricci curvature and Euclidean volume growth.

Sharp log-Sobolev inequalities proved for CD(0,N){\sf CD}(0,N) spaces.

problem Proving log-Sobolev inequalities in noncompact metric measure spaces.
method Sharp isoperimetric inequality, symmetrisation, scaling argument, Hamilton-Jacobi inequality, Sobolev regularity.
result Sharp log-Sobolev inequalities established in CD(0,N){\sf CD}(0,N) spaces.

In this paper, we prove the equivalent of ultracontractive bound of heat semigroup or the uniform upper bound of the heat kernel with the Nash inequality, Log-Sobolev inequalities on graphs. We also show that under the assumption of volume growth and nonnegative curvature CDE(n,0)CDE'(n,0) the Sobolev inequality, Nash inequa…

2015-02-06abs ↗pdf ↗

The paper derives inequalities and formulas for generalized Ricci flow.

problem Understanding and characterizing generalized Ricci flow.
method Using Bochner formula and adapted Malliavin gradient, the paper derives inequalities and characterizes generalized Ricci flow.
result Characterizations of generalized Ricci flow via inequalities for the associated Malliavin gradient.

New framework improves EM algorithm convergence under log-Sobolev inequality.

problem Improving convergence of the EM algorithm.
method Extending gradient flow techniques to EM algorithm, using free energy representation.
result Exponential convergence of EM algorithm under log-Sobolev inequality.

The study improves Poincaré and log-Sobolev inequalities on hyperbolic spaces.

problem Improving Poincaré and log-Sobolev inequalities on hyperbolic spaces.
method Establishing scale-dependent Poincaré-Hardy type identities and choosing suitable parameters, potentials, and vector fields.
result Derives new versions and substantially improves existing inequalities.

Proves error bounds for PGD, extending log-Sobolev and Talagrand inequalities.

problem Maximum likelihood estimation of large latent variable models.
method Extending log-Sobolev and Talagrand inequalities to models with strongly concave log-likelihoods.
result Non-asymptotic error bounds for PGD in models satisfying LSI and PŁI.

New deficit functions link elliptic and parabolic inequalities, proving log Sobolev.

problem Proving log Sobolev inequality using deficit functions.
method Introducing two deficit functions, one elliptic and one parabolic, and showing their pointwise convergence and equations.
result Elliptic deficit converges to parabolic deficit, leading to an elliptic proof of log Sobolev inequality.

Study establishes Pólya-Szegő inequalities on submanifolds with small total mean curvature.

problem Analyzing Sobolev functions on submanifolds with curvature constraints.
method Developed Pólya-Szegő-type inequalities and derived corollaries.
result Proved sharp pp-Log-Sobolev inequality for minimal submanifolds.

The study proves inequalities and curvature properties for Markov chains.

problem Isoperimetric and concentration inequalities for Markov chains.
method Laplacian separation principle for eikonal equation; modified log-Sobolev constant; Ollivier curvature.
result Affirmative answers to open questions and new inequalities.

Let PtP_t be the diffusion semigroup generated by L:=Δ+VL:=Δ+\nabla V on a complete connected Riemannian manifold with Ric(σ2ρo2+c)\operatorname {Ric}\ge-(σ^2ρ_o^2+c) for some constants σ,c>0σ, c>0 and ρoρ_o the Riemannian distance to a fixed point. It is shown that PtP_t is hypercontractive, or the log-Sobolev inequality holds for the…

2007-12-19abs ↗pdf ↗

The paper examines stability of the Sobolev inequality in metric spaces with curvature dimension conditions.

problem Investigating stability of the Sobolev inequality in metric spaces with curvature dimension conditions.
method Assuming almost the same optimal constant, the paper shows that the cumulative distribution of almost extremal functions is close to that of an Aubin-Talenti bubble on the round sphere.
result Quantitative stability with sharp exponent for the Sobolev inequality in various curvature and dimension assumptions.

Paper proposes new Langevin samplers for sampling from log-concave distributions with superlinear gradient growth.

problem Sampling from log-concave distributions with superlinear gradient growth.
method Proposes two novel discretizations of kinetic Langevin SDEs, showing contractivity and log-Sobolev inequality.
result Establishes non-asymptotic bounds in 2-Wasserstein distance between sampled distributions and target measures.

Inequalities linking entropy, Fisher info, Stein discrepancy, and Wasserstein distance on Riemannian manifolds.

problem Linking entropy, Fisher info, Stein discrepancy, and Wasserstein distance on Riemannian manifolds.
method Deriving inequalities linking these measures on Riemannian manifolds.
result Strengthening and extending existing inequalities to Riemannian manifolds.

We establish sharp Sobolev inequalities of order four on Euclidean d-balls for d greater than or equal to four. When d=4, our inequality generalizes the classical second order Lebedev-Milin inequality on Euclidean 2-balls. Our method relies on the use of scattering theory on hyperbolic d-balls. As an application, we ch…

2015-09-20abs ↗pdf ↗

Greedy MI maximization method outperforms existing approaches in nonlinear models.

problem Maximizing mutual information in nonlinear models with non-Gaussian noise.
method Greedy approaches based on log-Sobolev inequalities for computationally inexpensive MI lower bounds.
result Proposed method outperforms random selection and Gaussian approximations.

Researchers prove rigidity for log-Sobolev inequality on specific metric spaces.

problem Proving rigidity for the logarithmic Sobolev inequality on metric measure spaces.
method Using a new approach to prove the rigidity result.
result Proved that if equality holds in the log-Sobolev inequality, the space must split into a product of a manifold and the Gaussian shrinking soliton.

Sharp bounds on uniform generalization errors in binary linear classification.

problem Understanding the uniform generalization errors in binary linear classification.
method Isoperimetric arguments, Poincaré and log-Sobolev inequalities for joint distributions.
result Sharp concentration bounds on uniform generalization errors, almost sure convergence in broad settings.

Study fine Pólya-Szegő inequalities in metric spaces with applications.

problem Fine Pólya-Szegő rearrangement inequalities in metric spaces.
method Theory of Sobolev and BV functions, synthetic Ricci bounds, isoperimetric inequality.
result New geometric and functional inequalities under Ricci lower bounds.

Proposes a new generalization bound for Bayesian deep nets without strict assumptions.

problem Lack of generalization bounds for Bayesian deep nets without strict assumptions.
method Exploits contractivity of Log-Sobolev inequalities to add a loss-gradient norm term to the generalization bound.
result Introduces a new generalization bound for Bayesian deep nets that avoids strict assumptions.

The paper derives Harnack inequalities for evolving Riemannian manifolds without dimensionality restrictions.

problem Deriving Harnack inequalities for geometric flows with evolving metrics.
method Probabilistic representation of conjugate semigroups and supercontractivity.
result Established dimension-free Harnack inequalities for geometric flows.

Sharp Lipschitz bounds for flow-matching and diffusion models with optimal sampling rates.

problem Establishing optimal Lipschitz regularity for flow-matching and diffusion models.
method Sharp Lipschitz regularity theory for flow-matching vector fields and diffusion-model scores.
result Achieves optimal sampling rate of d/N\sqrt{d}/N for Euler-type samplers in dimension dd.

The paper analyzes convergence rates of Langevin dynamics and Proximal Sampler using ΦΦ-divergence.

problem Analyzing convergence rates of Langevin dynamics and Proximal Sampler.
method Extending mixing time analyses to ΦΦ-divergence, using strong data processing inequalities.
result Convergence of ΦΦ-divergence to 0 exponentially fast along Unadjusted Langevin Algorithm and Proximal Sampler.

We define a Hamilton-Jacobi semigroup acting on continuous functions on a compact length space. Following a strategy of Bobkov, Gentil and Ledoux, we use some basic properties of the semigroup to study geometric inequalities related to concentration of measure. Our main results are that (1) a Talagrand inequality on a …

2006-12-19abs ↗pdf ↗

New sampling algorithms for complex distributions without log-concavity.

problem Efficient sampling from complex, high-dimensional distributions.
method Randomized splitting Langevin Monte Carlo (RSLMC) algorithm.
result Uniform-in-time error bounds for RSLMC and RLMC algorithms.

Paper connects Fenchel-Willmore and Sobolev inequalities for submanifolds in curved spaces.

problem Developing inequalities for submanifolds in curved spaces.
method Connecting Fenchel-Willmore and logarithmic Sobolev inequalities for mean-convex submanifolds.
result Established extensions of Fenchel-Willmore inequality and derived new Sobolev-type inequalities.

Explains optimal functional inequalities, focusing on Sobolev and fractional Sobolev.

problem Optimal functional inequalities and their stability.
method Compactness theorems, characterization of optimizers, and quantitative stability analysis.
result Characterization and stability of optimizers for Sobolev inequalities and their fractional generalizations.