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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.

169,051 papers · 148 categories

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48 results for finite mean

In this note, we first prove that the solution of mean curvature flow on a finite time interval [0,T)[0,T) can be extended over time TT if the space-time integration of the norm of the second fundamental form is finite. Secondly, we prove that the solution of certain mean curvature flow on a finite time interval [0,T)[0,T)

2009-05-08abs ↗pdf ↗

Study soap bubbles with almost constant higher-order mean curvature, proving unique limits under certain conditions.

problem Understanding the asymptotic behavior of soap bubbles with almost constant higher-order mean curvature.
method Analyzing sequences of bounded C2C^2-domains in Rn+1 \mathbb{R}^{n+1} converging in volume and perimeter, with kk-th mean curvature functions converging in L1L^1.
result Finite unions of mutually tangent balls are the only possible limits under natural mean convexity and LL^\infty-control on the mean curvature outside a set of vanishing area.

Totally umbilic surfaces in hyperbolic 3-manifolds are constructed and characterized.

problem Characterizing totally umbilic surfaces in hyperbolic 3-manifolds of finite volume.
method Construction and characterization of surfaces based on their properties and embedding conditions.
result Characterization of totally umbilic surfaces in hyperbolic 3-manifolds of finite volume.

The study investigates the consistency of kk-means clustering under finite expectation assumptions.

problem Consistency of kk-means clustering under finite expectation assumptions.
method Investigates the conditions under which kk-means clustering is consistent, considering finite expectation instead of finite variance.
result Inconsistency can arise due to extreme cluster imbalance, leading to some clusters having few points.

New calibration energy measures deviation from calibrated geometry, enabling mean curvature flow in infinite volumes.

problem Mean curvature flow in infinite volumes with finite energy.
method Introducing calibration energy and proving its dissipation identity for mean curvature flows.
result Every proper self-expander with finite calibration energy is a plane in all dimensions and codimensions.

HOMER improves robustness and efficiency in estimating means of heavy-tailed data.

problem Lack of robustness and efficiency in estimating means of heavy-tailed data.
method HOMER aggregates block means through a radial Huber center, interpolating between robustness and mean efficiency.
result HOMER maintains robustness while approaching mean efficiency, especially under finite third moments.

Given any embedded Lagrangian on a four dimensional compact Calabi-Yau, we find another Lagrangian in the same Hamiltonian isotopy class which develops a finite time singularity under mean curvature flow. This contradicts a weaker version of the Thomas-Yau conjecture regarding long time existence and convergence of Lag…

2010-09-06abs ↗pdf ↗

Study shows finite agent equilibrium converges to mean-field limit in asset pricing.

problem Asset pricing equilibrium in markets with finite vs infinite agents.
method Existence of finite agent equilibrium and strong convergence to mean-field limit.
result Finite agent equilibrium converges to mean-field limit under suitable conditions.

The paper discusses the importance of infinite-mean models in finance and risk management.

problem Classic statistical models assume finite mean or variance, which is not suitable for heavy-tailed data.
method Discussion and recent results on infinite-mean models in economics and finance.
result Classic statistical results for finite-mean models often fail or flip for infinite-mean models.

Improved mean estimation for symmetric distributions with finite-sample guarantees.

problem Estimating the mean of a symmetric distribution from samples.
method Using Fisher information rate for finite-sample guarantees.
result Finite-sample convergence close to subgaussian with variance 1/(n * I_r), where I_r is r-smoothed Fisher information.

Compact mean curvature flow solutions with bounded curvature in high dimensions are constructed.

problem Constructing compact mean curvature flow solutions with bounded mean curvature.
method Following Velázquez, Guo, Sesum, and Stolarski's arguments, constructing solutions in \(\mathbb{R}^n\) with \(n \geq 8\).
result Compact mean curvature flow solutions with bounded mean curvature in \(\mathbb{R}^n\) are constructed.

Generic level sets in mean curvature flow are BV solutions.

problem Understanding the behavior of level sets in mean curvature flow.
method Using the framework of sets of finite perimeter and distributional solutions, the paper extends Evans and Spruck's work.
result Generic level sets are distributional solutions with optimal energy dissipation rate.

Study on convergence of Langevin dynamics for zero-sum games in probability distributions.

problem Analyzing convergence of Langevin dynamics for zero-sum games in probability distributions.
method Proved exponential and biased convergence guarantees for mean-field and finite-particle min-max Langevin dynamics.
result Explicit iteration complexity for finite-particle algorithms to approximate equilibrium distributions.

A new method uses Mean Field Games to optimize mixture models of Bernoulli and categorical distributions.

problem Optimizing parameters of finite mixture models of Bernoulli and categorical distributions.
method Mean Field Games theory applied to multi-population systems.
result The Mean Field Games approach provides a method to compute mixture model parameters.

Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow

problem Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow
method Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow
result Identifying the lowest eigenfunction with the scaling mode of the special Lagrangian desingularization

In this article, we use the recently developed mean curvature flow with surgery for 2 convex hypersurfaces to prove several isotopy existence and finally extrinsic finiteness results (in the spirit of Cheeger's compactness theorem) for the space of 2 convex hypersurfaces in Rn+1\mathbb{R}^{n+1}.

2017-05-09abs ↗pdf ↗

A submanifold in space forms is isoparametric if the normal bundle is flat and principal curvatures along any parallel normal fields are constant. We study the mean curvature flow with initial data an isoparametric submanifold in Euclidean space and sphere. We show that the mean curvature flow preserves the isoparametr…

2007-06-25abs ↗pdf ↗

Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.

problem Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.
method Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.
result Derive new Euler-Ramanujan-type identities and infinite decompositions for zero mean curvature graphs in various spaces.

In this paper we prove some general results on constant mean curvature lamination limits of certain sequences of compact surfaces MnM_n embedded in R3\mathbb R^3 with constant mean curvature HnH_n and fixed finite genus, when the boundaries of these surfaces tend to infinity. Two of these theorems generalize to the non…

2015-10-26abs ↗pdf ↗

Constructs finite-time singularities in Lagrangian mean curvature flow with precise dynamics.

problem Finite-time singularities in Lagrangian mean curvature flow.
method Modulation analysis around shrinking cohomogeneity-one special Lagrangian desingularizations.
result Explicit curvature blow-up rate and precise dynamics of singularities.

Faster mean estimation with sub-Gaussian error bounds.

problem Estimating the mean of a random vector with optimal statistical efficiency.
method An estimator for the mean of a random vector in R^d with optimal statistical efficiency and sub-Gaussian error bounds.
result Achieves optimal statistical efficiency with sub-Gaussian error bounds and a significantly faster runtime.

The study classifies translating and self-expanding solitons in 3D space.

problem Characterizing the topology and index of solitons in mean curvature flow.
method Analyzing the spectrum and index of expanding and translating solitons in R3\mathbb{R}^3.
result Translating and self-expanding solitons have finite topology under certain conditions.

Unified framework for finite-sample RL algorithms using Lyapunov theory.

problem Finite-sample convergence guarantees of asynchronous RL algorithms.
method Reformulate RL algorithms as Markovian SA, develop Lyapunov analysis.
result Mean-square error bounds and convergence for various RL algorithms.