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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.

168,738 papers · 148 categories

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4488131175 · May 202619922001200920172026
48 results for inverse flows

The paper studies a flow of Legendre curves, generalizing the inverse curvature flow of regular curves.

problem Analyzing the inverse curvature flow of Legendre curves.
method Investigates the unique existence, monotonicity, and asymptotic behavior of the flow.
result The flow asymptotically converges to a self-similar solution, categorized by initial curve.

Study inverse curvature flows for capillary hypersurfaces in a unit ball.

problem Understanding the behavior of capillary hypersurfaces under inverse curvature flows.
method Investigate inverse curvature flows for strictly convex, capillary hypersurfaces in the unit Euclidean ball.
result Establish existence and convergence results for inverse curvature flows.

Linear flows on inverse limits of tori are defined and it is shown that two linear flows on an inverse limit of tori are equivalent if and only if there is an automorphism of the inverse limit generating the equivalence.

1999-06-24abs ↗pdf ↗

Paper proves stability of quermassintegral inequalities using inverse curvature flow.

problem Stability of quermassintegral inequalities for nearly spherical sets.
method Inverse curvature flow with special rescaling to study quermassintegral inequalities.
result Decreasing rate of k-th quermassintegral is faster than Fraenkel asymmetry for nearly spherical sets.

In this paper, we study self-expanding solutions to a large class of parabolic inverse curvature flows by homogeneous symmetric functions of principal curvatures in Euclidean spaces. These flows include the inverse mean curvature flow and many nonlinear flows in the literature. We first show that the only compact self-…

2017-01-15abs ↗pdf ↗

The flow converges without Kähler-Einstein and develops ideal sheaves.

problem Analyzing convergence of inverse Monge-Ampere flow without Kähler-Einstein metrics.
method Generalizing the flow and providing conditions for convergence and ideal sheaves development.
result The flow converges without Kähler-Einstein metrics and develops Nadel multiplier ideal sheaves.

Efficiently solves inverse problems with diffusion and flow models in just a few steps.

problem Solving inverse problems like super-resolution, inpainting, or deblurring using diffusion or flow models.
method Conditional Conjugate Integrators framework that projects inverse problem dynamics into a more amenable space for sampling.
result Generates high-quality samples in as few as 5 conditional sampling steps, outperforming competing methods.

A method for estimating signal distributions from inverse problems using normalizing flows.

problem Estimating the distribution of the underlying signal from observations in inverse problems.
method A framework for approximate inference on a pre-trained unconditional flow model, using a composition of two flow models for stable variational inference.
result Our method produces high-quality samples with uncertainty quantification and can be amortized for zero-shot inference.

The paper studies area-preserving and length-preserving inverse curvature flow for planar curves with singularities.

problem Investigating the evolution of planar curves with singularities under area-preserving and length-preserving inverse curvature flow.
method Area-preserving and length-preserving inverse curvature flow for \ell-convex Legendre curves.
result The flow results in a circle for \ell-convex Legendre curves, providing geometric inequalities.

Study constructs solutions for evolving hypersurfaces using inverse spacetime mean curvature.

problem Evolution of hypersurfaces in spacetime.
method Weak solutions for hypersurfaces evolving along inverse spacetime mean curvature in asymptotically flat maximal initial data sets.
result Weak solution detects both future- and past-trapped apparent horizons.

Flow Annealing Posterior Sampling unifies stochastic-process regression and PDE inverse problems.

problem Function-space posterior sampling for stochastic processes and inverse problems.
method Flow Annealing Posterior Sampling (FAPS) using pretrained function-space flow-matching priors.
result Coherent posterior samples with accurate uncertainty quantification.

New flow expands hypersurfaces in hyperbolic space, showing round limiting shape for certain powers.

problem Understanding the limiting shape of hypersurfaces expanding in hyperbolic space.
method Introduced shifted inverse curvature flow with positive power pp for a smooth curvature function.
result For 0<p10<p\leq 1, limiting shape is always round as maximal existence time is approached.

Instead of investigating the Willmore flow for two-dimensional, closed immersed surfaces directly we turn to its inversion. We give a lower bound on the lifespan of this inverse Willmore flow, depending on the concentration of curvature in space and the extension of the initial surface, as well as a characterization of…

2015-08-31abs ↗pdf ↗

Study inverse curve shortening flow on hyperbolic plane, classifying solitons.

problem Understanding the behavior of curves in hyperbolic geometry under a specific flow.
method Classifying solitons with respect to vector fields and studying their properties.
result Parabolic solitons are graphs on the y-axis, conformal solitons on the x-axis.

We study positivity in the conjecture proposed by Lejmi and Székelyhidi on finding effective necessary and sufficient conditions for solvability of the inverse σkσ_k equation, or equivalently, for convergence of the inverse σkσ_k-flow. In particular, for the inverse σn1σ_{n-1}-flow we partially verify their conjecture b…

2016-10-29abs ↗pdf ↗

The paper proves existence and growth estimates for inverse mean curvature flow and related pp-Laplacian Green kernel decay.

problem Existence and growth estimates for inverse mean curvature flow.
method Proving new decay estimates for the Green kernel of the pp-Laplacian.
result Existence and optimal growth estimates for the weak inverse mean curvature flow.

Study on curvature flow in Minkowski space for cocompact hypersurfaces.

problem Investigating curvature flow in Minkowski space for cocompact hypersurfaces.
method Investigation of the cocompact inverse \(σ_k\) curvature flow in Minkowski space.
result Longtime existence and convergence of the curvature flow established.

Paper explores stability, regularization, and gradient flows for stochastic inverse problems.

problem Recovering random probability distributions from measurements.
method Direct inversion, variational formulation with regularization, and optimization via gradient flows.
result The choice of metric impacts stability and properties of the optimizer.

Unified framework reduces NFEs for inverse problems.

problem High computational costs and degraded reconstruction quality in existing LDM-based inverse solvers.
method Consistency Regularised Gradient Flows for posterior sampling and prompt optimization.
result Significantly reduced computational cost with state-of-the-art performance.

In this paper, we first study the behavior of inverse mean curvature flow in Schwarzschild manifold. We show that if the initial hypersurface ΣΣ is strictly mean convex and star-shaped, then the flow hypersurface ΣtΣ_t converges to a large coordinate sphere as tt\rightarrow \infty exponentially. We also describe an a…

2012-12-18abs ↗pdf ↗

The flow of a torus by inverse mean curvature keeps total curvature bounded until singularity.

problem Understanding the behavior of a torus under inverse mean curvature flow until singularity.
method Analyzing the evolution of a rotationally symmetric embedded torus in R3\mathbb{R}^{3} by inverse mean curvature flow.
result The total curvature remains bounded until the singular time TmaxT_{\max}.

New boundary condition for weak inverse mean curvature flow in bounded domains.

problem Addressing the well-posedness of inverse mean curvature flow in bounded domains with an outer obstacle.
method Developed a new boundary condition, combined techniques including elliptic regularization, blow-up analysis, and parabolic estimates.
result Existence and uniqueness theorem for weak solutions in smooth bounded domains, with C1,αC^{1,α} regularity of level sets up to the obstacle.

NF-ULA combines Langevin Monte Carlo with normalizing flows for imaging inverse problems.

problem Solving inverse problems in imaging with uncertainty quantification.
method Langevin Monte Carlo with normalizing flow prior.
result NF-ULA outperforms competing methods for severely ill-posed inverse problems.

The paper classifies shapes of translating solitons for a specific flow.

problem Understanding the shapes of translating solitons in a specific flow.
method Analyzing functions on a unit sphere and solving an ODE.
result Classification of the shapes of translating solitons.

We study solutions to the inverse mean curvature flow which evolve by homotheties of a given submanifold with arbitrary dimension and codimension. We first show that the closed ones are necessarily spherical minimal immersions and so we reveal the strong rigidity of the Clifford torus in this setting. Mainly we focus o…

2015-11-12abs ↗pdf ↗

This paper extends IMCF theory to Heisenberg group, solving Penrose inequality.

problem Extending inverse mean curvature flow theory to Heisenberg group.
method Developed a sub-Riemannian theory for Heisenberg group, introduced a flow preserving H-perimeter.
result Established a Minkowski-type formula in Heisenberg group, proving Heintze-Karcher inequality.

The central object of study of this thesis is inverse mean curvature vector flow of two-dimensional surfaces in four-dimensional spacetimes. Being a system of forward-backward parabolic PDEs, inverse mean curvature vector flow equation lacks a general existence theory. Our main contribution is proving that there exist …

2015-08-16abs ↗pdf ↗

Paper classifies ruled surfaces in Lorentz-Minkowski space for a specific flow.

problem Classifying ruled surfaces in Lorentz-Minkowski space.
method Examining homothetic self-similar solutions of the inverse mean curvature flow.
result Existence of two classes of non-cylindrical homothetic solitons.

The paper classifies ruled surfaces in a specific space that move in a special way.

problem Understanding how surfaces move in a special space.
method Classifying ruled surfaces as translating solitons of inverse mean curvature flow.
result Existence of non-cylindrical ruled translating solitons.