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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.

168,695 papers · 148 categories

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265379105 · Jun 202019922001200920172026
48 results for area evolution

This paper studies the critical dynamics of random surfaces, focusing on area and genus evolution.

problem Understanding the time evolution of random surfaces and their genus.
method Analyzes the dynamics of area and genus using Cox-Ingersoll-Ross process and critical phenomena.
result The genus of surfaces evolves into two phases: planar surfaces and foamy surfaces.

Study proves existence and properties of shrinkers in area-preserving curve-shortening flow.

problem Existence and properties of shrinkers in area-preserving curve-shortening flow.
method Using known results on λ-curves, we prove existence of non-circular shrinkers and deduce a saddle-point property.
result Existence and properties of shrinkers in area-preserving curve-shortening flow, including a saddle-point property.

The paper studies how curves evolve under area constraints and converges to a critical point.

problem Evolution of plane curves with fixed area under elastic energy gradient.
method Local and global existence of the flow, simplicity assumption, Łojasiewicz--Simon inequality.
result The evolving curve's length remains bounded and converges to a critical point.

In this paper we consider the evolution of a graph-like hypersurface by anisotropic mean curvature flow, under some restrictions on the anisotropic area integrand. We find interior estimates (in both time and space) on the gradient of such hypersurfaces, depending only on the height of the graph and the anisotropic are…

2005-10-02abs ↗pdf ↗

In this article we give a complete description of the evolution of an area decreasing map f:MNf:M\to N induced by its mean curvature in the situation where MM and NN are complete Riemann surfaces with bounded geometry, MM being compact, for which their sectional curvatures σMσ_M, σNσ_N satisfy minσMsupσN\minσ_M\ge\supσ_N.

2016-02-24abs ↗pdf ↗

We consider the mean curvature flow of the graph of a smooth map f:R2R2f:\mathbb{R}^2\to\mathbb{R}^2 between two-dimensional Euclidean spaces. If ff satisfies an area-decreasing property, the solution exists for all times and the evolving submanifold stays the graph of an area-decreasing map ftf_t. Further, we prove unifo…

2016-08-18abs ↗pdf ↗

In this paper we consider planar polygons with parallel opposite sides. This type of polygons can be regarded as discretizations of closed convex planar curves by taking tangent lines at samples with pairwise parallel tangents. For this class of polygons, we define discrete versions of the area evolute, central symmetr…

2012-10-08abs ↗pdf ↗

In this paper we study properties of the area evolute (AE) and the center symmetry set (CSS) of a convex planar curve γγ. The main tool is to define a Minkowski plane where γγ becomes a constant width curve. In this Minkowski plane, the CSS is the evolute of γγ and the AE is an involute of the CSS. We prove that the…

2013-01-27abs ↗pdf ↗

We consider a regular embedded network composed by two curves, one of them closed, in a convex domain ΩΩ. The two curves meet only in one point, forming angle of 120120 degrees. The non-closed curve has a fixed end point on Ω\partialΩ. We study the evolution by curvature of this network. We show that the maximal exist…

2015-03-30abs ↗pdf ↗

In this paper we discuss some affine properties of convex equal-area polygons, which are convex polygons such that all triangles formed by three consecutive vertices have the same area. Besides being able to approximate closed convex smooth curves almost uniformly with respect to affine length, convex equal-area polygo…

2011-03-14abs ↗pdf ↗

EvoNet predicts the evolution of dynamic graphs using a graph neural network and recurrent architecture.

problem Predicting the evolution of dynamic graphs is challenging and underexplored.
method EvoNet uses a graph neural network and recurrent architecture to predict the evolution of dynamic graphs.
result EvoNet effectively predicts the evolution of dynamic graphs on both artificial and real-world datasets.

We analyze the sectoral dynamics of startup venture financing. Based on a dataset of 52000 start-ups and 110000 funding rounds in the United States from 2000 to 2017, and by applying both Principal Component Analysis (PCA) and Tensor Component Analysis (TCA) in sector space, we visualize and measure the evolution of th…

2019-06-05abs ↗pdf ↗

One dimensional stylized model taking into account spatial activity of firms with uniformly distributed customers is proposed. The spatial selling area of each firm is defined by a short interval cut out from selling space (large interval). In this representation, the firm size is directly associated with the size of i…

2007-10-02abs ↗pdf ↗

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.

This paper gives two methods for constructing associative 3-folds in R^7, based around the fundamental idea of evolution equations, and uses these methods to construct examples of these geometric objects. The paper is a generalisation of the work by Joyce in math.DG/0008021, math.DG/0008155, math.DG/0010036 and math.DG…

2004-01-13abs ↗pdf ↗

AR model forecasts partially observed dynamical time series by estimating evolution function and imputing missing variables.

problem Forecasting dynamical time series with missing variables.
method Autoregressive with slack time series (ARS) model.
result ARS model forecasts future time series with time-invariant and linear assumptions.

The paper proves reverse inequalities in various geometric settings using curvature radius data.

problem Proving reverse Alexandrov-Fenchel inequalities in different geometric settings.
method Using curvature radius data and associated evolute or focal maps.
result Sharp reverse Alexandrov-Fenchel estimates and inequalities in smooth convex curves and hypersurfaces.

New algorithm improves signal reconstruction from noisy measurements with side information.

problem Reconstructing unknown signals from noisy linear measurements with side information.
method Integrates side information into approximate message passing (AMP) and tracks performance using state evolution.
result AMP-SI performance is accurately predicted by state evolution.

Develops a machine learning method for parameter estimation in branching processes models.

problem Parameter evaluation for unevenly distributed sparse and dense regions in stochastic datasets.
method Approximate Bayesian computation based on Isolation Kernel mapping and maxima weighted kernel.
result Effective parameter estimation for cancer cell evolution models using personal data.

In the first part of the paper we survey some nonlocal flows of convex plane curves ever studied so far and discuss properties of the flows related to enclosed area and length, especially the isoperimetric ratio and the isoperimetric difference. We also study a new nonlocal flow of convex plane curves and discuss its e…

2010-05-04abs ↗pdf ↗

This paper studies the large time existence for the motion of closed hypersurfaces in a radially symmetric potential. In physical, this surface can be considered as an electrically charged membrane with a constant charge per area in a radially symmetric potential. The evolution of such surface has been investigated by …

2015-02-17abs ↗pdf ↗

Given a simple closed plane curve ΓΓ of length LL enclosing a compact convex set KK of area FF, Hurwitz found an upper bound for the isoperimetric deficit, namely L24πFπFeL^2-4πF\leq π|F_{e}|, where FeF_{e} is the algebraic area enclosed by the evolute of ΓΓ. In this note we improve this inequality finding strictly posi…

2017-04-04abs ↗pdf ↗

Phase segregation, the process by which the components of a binary mixture spontaneously separate, is a key process in the evolution and design of many chemical, mechanical, and biological systems. In this work, we present a data-driven approach for the learning, modeling, and prediction of phase segregation. A direct …

2018-03-23abs ↗pdf ↗

The RG-2 flow is the two-loop approximation for the world-sheet non-linear sigma model renormalization group flow. The first truncation of the flow is the well known Ricci flow, at two loops higher order curvature terms appear, changing almost completely the behaviour of the evolution equation. In this article we study…

2018-06-26abs ↗pdf ↗

Study curvature flows on pinched Hadamard surfaces, proving convexity preservation and convergence.

problem Preserving convexity and convergence of curves under curvature flows on pinched Hadamard surfaces.
method Area- and length-preserving curvature flows, refined comparison arguments, delicate curvature estimates.
result Convexity is preserved and curves converge to a geodesic circle under certain conditions.

Develops adiabatic theory for ACW flow on surfaces.

problem Evolution of large closed surfaces under area-constrained Willmore flow.
method Constructs a map on a four-dimensional manifold of barycenters to characterize ACW flow dynamics.
result Explicit four-dimensional effective dynamics of barycenters serves as an asymptotic approximation for ACW flow.

This review explores Ricci soliton inequalities in Riemannian geometry.

problem Understanding geometric and analytic characteristics of Riemannian manifolds.
method Comprehensive study of Ricci soliton inequalities, summarizing historical evolution and current developments.
result Complex interactions between curvature conditions and geometric inequalities.