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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.

168,695 papers · 148 categories

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25.0%50.0%75.0%100.0% · Feb 199419922001200920172026
48 results for evolution map

Study the geometry and dynamics of skew evolutes and involutes, related to bicycle kinematics.

problem Understanding the geometry and dynamics of skew evolutes and involutes.
method Investigate the skew evolute and involute maps, comparing them to bicycle kinematics.
result The skew evolute and involute maps have properties analogous to bicycle kinematics.

We solve the differentiability problem for the evolution map in Milnor's infinite dimensional setting. We first show that the evolution map of each CkC^k-semiregular Lie group GG (for kN{lip,}k\in \mathbb{N}\sqcup\{\mathrm{lip},\infty\}) admits a particular kind of sequentially continuity - called Mackey k-continuity. We …

2018-12-20abs ↗pdf ↗

The evolute of a smooth curve in an m-dimensional Euclidean space is the locus of centers of its osculating spheres, and the evolute of a spatial polygon is the polygon whose consecutive vertices are the centers of the spheres through the consecutive (m+1)-tuples of vertices of the original polygon. We study the iterat…

2016-11-27abs ↗pdf ↗

We study the evolution equations for a regularized version of Dirac-geodesics, which are the one-dimensional version of Dirac-harmonic maps. We show that for the regularization being sufficiently large, the evolution equations subconverge to a regularized Dirac-geodesic. In the end, we discuss the limiting process of r…

2013-11-14abs ↗pdf ↗

An array system of coupled maps is proposed as a model for economy evolution. The local dynamics of each map or agent is controlled by two parameters. One of them represents the growth capacity of the agent and the other one is a control term representing the local environmental pressure which avoids an exponential gro…

2005-07-26abs ↗pdf ↗

The paper proposes a method to learn evolving multivariate distributions from sample paths.

problem Learning the temporal evolution of multivariate densities from sample data.
method Normalizing flows to construct time-dependent mappings.
result The method can approximate evolving probability density functions from observed data.

We study iterations of two classical constructions, the evolutes and involutes of plane curves, and we describe the limiting behavior of both constructions on a class of smooth curves with singularities given by their support functions. Next we study two kinds of discretizations of these constructions: the curves are r…

2015-10-27abs ↗pdf ↗

Study on evolutes and focal surfaces of pseudo-spherical framed immersions in anti-de Sitter space.

problem Investigating singularities of evolutes and focal surfaces of pseudo-spherical framed immersions.
method Introduced pseudo-spherical non-null framed curves, defined moving frames, and analyzed evolutes and focal surfaces.
result Evolutes of pseudo-spherical framed immersions are the sets of singular points of their focal surfaces.

Consider vector valued harmonic maps of at most linear growth, defined on a complete non-compact Riemannian manifold with non-negative Ricci curvature. For the norm square of the pull-back of the target volume form by such maps, we report a strong maximum principle, and equalities among its supremum, its asymptotic ave…

2018-01-08abs ↗pdf ↗

The paper proposes an evolution-based approach to estimate causal effects in interference networks without fully observing the network structure.

problem Estimating causal effects in complex systems with unobserved interaction pathways.
method An evolution-based approach that characterizes how outcomes change across observation rounds in response to interventions, using an exposure-mapping perspective.
result The approach identifies minimal structural conditions under which evolution mappings exist, enabling consistent learning about heterogeneous spillover effects.

We analyse the singularity formation of congruences of solutions of systems of second order PDEs via the construction of \emph{shape maps}. The trace of such maps represents a congruence volume whose collapse we study through an appropriate evolution equation, akin to Raychaudhuri's equation. We develop the necessary g…

2015-12-15abs ↗pdf ↗

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.

We construct a general procedure to extract the exclusive Racah matrices S and \bar S from the inclusive 3-strand mixing matrices by the evolution method and apply it to the first simple representations R =[1], [2], [3] and [2,2]. The matrices S and \bar S relate respectively the maps (R\otimes R)\otimes \bar R\longrig…

2016-05-16abs ↗pdf ↗

We solve the regularity problem for Milnor's infinite dimensional Lie groups in the C0C^0-topological context, and provide necessary and sufficient regularity conditions for the (standard) CkC^k-topological setting. We prove that the evolution map is C0C^0-continuous on its domain iff\textit{iff}\hspace{1pt} the Lie gro…

2017-11-09abs ↗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 ↗

Paper confirms Thom's conjecture for nonlinear evolutions on manifolds.

problem Thom's gradient conjecture for nonlinear evolution equations.
method Extending and settling the conjecture in infinite dimensional problems using Łojasiewicz, L. Simon, and Kurdyka-Mostowski-Parusinski's foundational works.
result Uniqueness of the limiting direction and characterization of convergence rates for both classical and infinite dimensional settings.

In this paper we study the Teichmüller harmonic map flow as introduced by Rupflin and Topping [15]. It evolves pairs of maps and metrics (u,g)(u,g) into branched minimal immersions, or equivalently into weakly conformal harmonic maps, where uu maps from a fixed closed surface MM with metric gg to a general target manif…

2017-11-24abs ↗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 ↗

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 ↗

A microscopic approach to macroeconomic features is intended. A model for macroeconomic behavior under heterogeneous spatial economic conditions is reviewed. A birth-death lattice gas model taking into account the influence of an economic environment on the fitness and concentration evolution of economic entities is nu…

2004-02-03abs ↗pdf ↗

Generalizes Hasimoto transformation to arbitrary flows on space curves.

problem Modeling and analyzing wave motions on space curves.
method Develops a mapping between curve evolution and scalar equations, transforming general vector fields in the Frenet frame.
result Binormal flows are generally length preserving but bending energy is fragile.

The normal map of curves is analyzed as a vector field on a cylinder.

problem Understanding the geometric properties of normal maps and their vector field interpretation.
method Interpreting critical points geometrically, studying Poincaré index, projecting to sphere, and analyzing winding and rotation indices.
result Counting theorems regarding winding and rotation indices of curves and their evolutes are proven.

In this paper, we investigate the Gauss maps of a Ricci-mean curvature flow. A Ricci-mean curvature flow is a coupled equation of a mean curvature flow and a Ricci flow on the ambient manifold. Ruh and Vilms proved that the Gauss map of a minimal submanifold in a Euclidean space is a harmonic map, and Wang extended thi…

2017-02-15abs ↗pdf ↗

This paper uses bandit theory and Thompson Sampling to optimize protein sequences.

problem Optimizing protein sequences using machine learning and directed evolution.
method Proposes a Thompson Sampling-guided Directed Evolution (TS-DE) framework.
result TS-DE achieves a nearly optimal Bayesian regret of order ildeO(d2MT) ilde O(d^{2}\sqrt{MT}).

We investigate length decreasing maps f:MNf:M\to N between Riemannian manifolds MM, NN of dimensions m2m\ge 2 and nn, respectively. Assuming that MM is compact and NN is complete such that $$\sec_M>-σ\quad\text{and}\quad{\Ric}_M\ge(m-1)σ\ge(m-1)\sec_N\ge-μ,$$ where σσ, μμ are positive constants, we show that the m…

2013-12-03abs ↗pdf ↗

Jets of mappings introduced by Ehresmann are still the most useful objects for formulating geometric frameworks of physical theories. We are proposing modifications designed to make jet theory less dependent on local coordinates. Extensions of the theory with applications to the calculus of variations and mechanics are…

2006-12-20abs ↗pdf ↗

Let NN be a complete manifold with bounded geometry, such that secNσ<0\sec_N\le -σ< 0 for some positive constant σσ. We investigate the mean curvature flow of the graphs of smooth length-decreasing maps f:RmNf:\mathbb{R}^m\to N. In this case, the solution exists for all times and the evolving submanifold stays the graph of a…

2018-05-29abs ↗pdf ↗

New method models covariates and responses without parametric assumptions using manifold learning.

problem Losing explanatory power for responses in standard factor models applied to covariates alone.
method Anisotropic diffusion maps for learning low-dimensional embeddings.
result Kalman filtering in diffusion-map coordinates improves joint covariate-response prediction.

Study fourth-order geometric flow of shape operator for co-dimension one immersions.

problem Analyzing the geometry of isometric immersions in Riemannian manifolds.
method Introduce a moduli flow to decrease curvature variation energy.
result The flow decreases a natural energy measuring curvature variation.

The paper explores continuous limits of pentagram maps and their relation to KdV equations.

problem Understanding the continuous limits of pentagram maps and their associated KdV equations.
method Quantum calculus and geometric constructions to derive continuous limits and Lax representations.
result Continuous limits of pentagram maps yield specific KdV equations, providing a geometric interpretation.

LR-Robot automates SLRs with AI, expert oversight, and multidimensional analysis.

problem Efficient but contextually limited outputs from existing SLR frameworks.
method Human-in-the-loop process, structured knowledge sources, retrieval-augmented generation.
result Empirical demonstration of AI-driven literature synthesis in option pricing.