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arXiv research

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.

169,291 papers · 148 categories

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48 results for interpolation inequalities

The paper studies optimal transport in linear quadratic systems and derives interpolation inequalities.

problem Optimal transport problem in Linear Quadratic optimal control systems.
method Well-posedness of the Monge problem, regularity of optimal transport map, displacement interpolation of measures.
result Derivation of general interpolation inequalities for entropy functionals.

In this article, a proof of the interpolation inequality along geodesics in pp-Wasserstein spaces is given. This interpolation inequality was the main ingredient to prove the Borel-Brascamp-Lieb inequality for general Riemannian and Finsler manifolds and led Lott-Villani and Sturm to define an abstract Ricci curvature…

2013-11-21abs ↗pdf ↗

The paper proves new Harnack inequalities for various nonlinear heat equations on manifolds.

problem Analyzing and proving new Harnack inequalities for nonlinear heat equations.
method Proving constrained trace, matrix, and interpolated Harnack inequalities for specific nonlinear heat equations.
result Derives new differential Harnack inequalities with time-exponential correction terms.

The study proves inequalities linking gradient norms and Laplace operator solutions on Riemannian manifolds.

problem Establishing global Sobolev regularity for solutions of the Poisson equation and magnetic Schrödinger semigroups.
method Proved second order LpL^{p}-interpolation inequalities and used abstract functional analytic arguments.
result New global Sobolev regularity results for LpL^p-solutions of the Poisson equation and magnetic Schrödinger semigroups.

We show that stochastic interpolation flow maps are Lipschitz with a sharp constant.

problem High dimensional sampling and transport problems.
method Investigating stochastic interpolation flow for generating data samples.
result Stochastic interpolation flow maps are Lipschitz with a sharp constant matching optimal transport maps.

Solved Cheeger inequalities for simplicial complexes, combining topological and graph theoretic methods.

problem Extend Cheeger inequalities to simplicial complexes and their higher order Laplacians.
method Combining constructions from simplicial topology, signed graphs, Gromov filling radii, and interpolating between 1-Laplacians and 2-Laplacians.
result Developed a general theory for p-Laplacians on simplicial complexes and proved Cheeger-type inequalities.

Study bounds for Brownian motion on manifolds with sticky boundary conditions.

problem Proving geometric bounds for Brownian motion on manifolds with sticky boundary conditions.
method Interpolation involving energy interactions between boundary and interior of the manifold.
result Explicit geometric bounds on Steklov eigenvalues, boundary trace operators, and boundary trace logarithmic Sobolev constants.

The study shows that close hypersurfaces have uniformly bounded inequalities.

problem Bounding inequalities for close hypersurfaces.
method Analyzing families of smooth hypersurfaces close to a fixed one.
result Uniformly bounded constants in Sobolev, Gagliardo-Nirenberg, and geometric Calderón-Zygmund inequalities.

This paper approximates Gaussian process emulators with constraints and noisy data.

problem Realistic stochastic emulators with inequality constraints and noisy observations.
method Monte Carlo and Markov Chain Monte Carlo methods with noise term.
result Improved performance of MC and MCMC samplers with noisy observations and constraints.

Adapts Stein's method for geometric inequalities, addressing boundary terms.

problem Geometric inequalities and their stability under constraints.
method Uses elliptic PDE with oblique boundary condition to handle boundary terms.
result Stability results for various geometric inequalities with respect to a new distance.

Study resolves conjecture on overparameterized linear models' generalization.

problem Asymptotic generalization of multiclass classification with overparameterized models.
method Gaussian covariates bi-level model, Hanson-Wright inequality variant.
result Min-norm interpolating classifier can be suboptimal compared to noninterpolating classifiers.

Alternative proofs for various inequalities on Riemannian manifolds.

problem Various functional inequalities on Riemannian manifolds.
method Generic functional inequality, Riccati pairs, solving Riccati-type ODE.
result Alternative proofs for multiple inequalities, including Hardy-type and Caccioppoli inequalities.

The paper establishes prediction bounds for trend filtering with higher order total variation penalties.

problem Estimating signals with jumps of varying orders using total variation regularization.
method Combining oracle inequalities and interpolating vectors to bound effective sparsity.
result The 1\ell_1-penalty on (k1)extth(k-1)^{ ext{th}} order differences allows adaptive estimation for k{1,2,3,4}k \in \{1,2,3,4\}.

The paper improves stability estimates for soap bubble theorem in curved domains.

problem Stability estimates for the Soap Bubble Theorem in curved domains.
method Leveraging Gagliardo-Nirenberg-type interpolation inequalities.
result Optimal stability estimates for LrL^r deviations of mean curvature from being constant.

Study inequalities on hyperbolic spaces and Riemannian manifolds using symmetrization and heat semigroup.

problem Investigate functional and geometric inequalities on hyperbolic spaces and Riemannian manifolds.
method Employ symmetrization and semigroup approach based on sharp estimates for heat semigroup.
result Developed robust inequalities and methods relying on geometric and isoperimetric properties.

The paper extends Hoeffding's inequality for Markov chains using a generalized concentrability condition.

problem Applying Hoeffding's inequality to non-ergodic Markov chains.
method Integrates generalized concentrability condition via IPM to extend traditional hypotheses.
result Demonstrates utility in machine learning applications such as empirical risk minimization and bandits.

Quantitative estimates for inequalities on sub-Riemannian manifolds.

problem Quantitative estimates for LpL^p-Poincaré and log-Sobolev inequalities on sub-Riemannian manifolds.
method Introducing the Quasi Curvature-Dimension condition and applying it to various sub-Riemannian manifolds.
result Established quantitative estimates independent of the dimension on various sub-Riemannian manifolds.

Researchers prove a stability result for a 3-sphere inequality, extending previous work.

problem Quantitative stability of nonlinear Yamabe-type inequalities on the 3-sphere.
method Proved a two-term refinement of the Schur lemma inequality in the conformal class of the 3-sphere.
result Deduced quantitative stability of an entire family of nonlinear Yamabe-type inequalities.

New stability bounds for GD in overparameterised shallow nets without NTK assumptions.

problem Generalisation and excess risk bounds for shallow neural networks.
method Oracle inequalities and stability analysis of GD without kernelisation.
result Oracle type bounds reveal GD's generalisation is controlled by an interpolating network with shortest GD path.

New method for handling multi-dimensional singular controls with jump costs in mean-field problems.

problem Handling jump costs in multi-dimensional singular controls.
method Introducing two-layer parametrisations to interpolate jumps on both distributional and pathwise levels.
result Derivation of a DPP and characterisation of the value function as a minimal super-solution to a quasi-variational inequality.

We describe and partially solve a natural Yamabe-type problem on smooth metric measure spaces which interpolates between the Yamabe problem and the problem of finding minimizers for Perelman's νν-entropy. This problem reduces in all dimensions on Euclidean space to the characterization of the minimizers of the family …

2013-06-18abs ↗pdf ↗

The paper studies nonlinear mass concepts in 3-manifolds with nonnegative scalar curvature.

problem Nonlinear isocapacitary mass in 3-manifolds with nonnegative scalar curvature.
method Derives positive mass theorems and shows mass coincides with ADM mass under mild conditions.
result Nonlinear masses coincide with ADM mass and prove the Penrose inequality.

Researchers develop neural networks for approximating functions in Banach spaces.

problem Approximating Banach space valued continuous functions.
method Quasi-interpolation Banach space valued neural network operators using algebraic sigmoid functions.
result Jackson type inequalities for function approximation.

Probability distributions of money, income, and energy consumption per capita are studied for ensembles of economic agents. The principle of entropy maximization for partitioning of a limited resource gives exponential distributions for the investigated variables. A non-equilibrium difference of money temperatures betw…

2009-12-24abs ↗pdf ↗

In this article, we introduce a 22-parameter family of affine connections and derive the Ricci curvature. We first establish an integral Bochner technique. On one hand, this technique yields a new proof to our recent work in \cite{LX} for substatic manifolds. On the other hand, this technique leads to various geometri…

2016-09-05abs ↗pdf ↗