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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.

168,932 papers · 148 categories

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1122 · Oct 200219922001200920172026
47 results for one-element

We show that Kervaire invariant one elements in the homotopy groups of spheres exist only in dimensions at most 126. By Browder's Theorem, this means that smooth framed manifolds of Kervaire invariant one exist only in dimensions 2, 6, 14, 30, 62, and possibly 126. With the exception of dimension 126 this resolves a lo…

2009-08-26abs ↗pdf ↗

We enhance the biquandle counting invariant using elements of truncated biquandle-labeled Polyak algebras. These finite type enhancements reduce to the finite type enhancements defined by Goussarov, Polyak and Viro for the trivial biquandle of one element and determine (but are not determined by) the biquandle counting…

2015-06-02abs ↗pdf ↗

We give an elementary (not cut just paste) proof of results of Bott and Shchepin: the space of non-empty subsets of a circle of cardinality at most 3, which is called the third symmetric potency of the circle, is homeomorphic to a 3-sphere and the inclusion of the space of one element subsets is a trefoil knot. Moreove…

2017-09-08abs ↗pdf ↗

It is well-known that a paracompact space XX is of covering dimension at most nn if and only if any map f ⁣:XKf\colon X\to K from XX to a simplicial complex KK can be pushed into its nn-skeleton K(n)K^{(n)}. We use the same idea to characterize asymptotic dimension in the coarse category of arbitrary coarse spaces. Cont…

2015-08-06abs ↗pdf ↗

We present a new operation to be performed on elements in a Garside group, called cyclic sliding, which is introduced to replace the well known cycling and decycling operations. Cyclic sliding appears to be a more natural choice, simplifying the algorithms concerning conjugacy in Garside groups and having nicer theoret…

2008-08-10abs ↗pdf ↗

In this thesis we study sets of points in the plane and their Voronoi diagrams, in particular when the points coincide. We bring together two ways of studying point sets that have received a lot of attention in recent years: Voronoi diagrams and compactifications of configuration spaces. We study moving and colliding p…

2002-10-22abs ↗pdf ↗

Develops relative cohomology for Lie groupoids and algebroids.

problem Lack of relative cohomology theory in Lie groupoids and algebroids.
method Structural theory development, van Est maps relation, intrinsic characteristic classes definition.
result Provides an intrinsic definition of characteristic classes using relative cohomology.

The second order method as Newton Step is a suitable technique in Online Learning to guarantee regret bound. The large data is a challenge in Newton method to store second order matrices as hessian. In this paper, we have proposed an modified online Newton step that store first and second order matrices of dimension m …

2019-04-11abs ↗pdf ↗

It is a well known result from Thistlethwaite that the Jones polynomial of a non-split alternating link is alternating. We find the right generalization of this result to the case of non-split alternating tangles. More specifically: the Jones polynomial of tangles is valued in a certain skein module, we describe an alt…

2008-07-16abs ↗pdf ↗

In this paper we consider the class A\mathcal{A} of those solutions u(x,t)u(x,t) to the conjugate heat equation ddtu=Δu+Ru\frac{d}{dt}u = -Δu + Ru on compact Kähler manifolds MM with c1>0c_1 > 0 (where g(t)g(t) changes by the unnormalized Kähler Ricci flow, blowing up at T<T < \infty), which satisfy Perelman's differential Harnack i…

2006-01-17abs ↗pdf ↗

Researchers develop a new basis to simplify solving infinite systems for HOMFLYPT skein module of lens spaces.

problem Computing the HOMFLYPT skein module of lens spaces L(p,1)L(p, 1) via braids.
method Using a new basis ΛΛ of the HOMFLYPT skein module of the solid torus, relating infinite systems of equations obtained by performing braid band moves on elements in Λ+Λ^+ and ΛΛ^- via a map II.
result Reduced complexity in solving the infinite system of equations for L(p,1)L(p, 1) using braids.

Finite mixture models are statistical models which appear in many problems in statistics and machine learning. In such models it is assumed that data are drawn from random probability measures, called mixture components, which are themselves drawn from a probability measure P over probability measures. When estimating …

2015-02-23abs ↗pdf ↗

The paper computes the Kauffman bracket skein module of (2,2p+1)(2, 2p+1)-torus knots using braids.

problem Computing the Kauffman bracket skein module of (2,2p+1)(2, 2p+1)-torus knots.
method Using geometric mixed braids and parting/combing techniques, the paper establishes a relation between the module and the genus 2 handlebody, and computes the module using a basis of the handlebody's module.
result A basis for the Kauffman bracket skein module of (2,2p+1)(2, 2p+1)-torus knots is found.

We study random walks on groups of isometries of non-proper delta-hyperbolic spaces under the assumption that at least one element in the group satisfies Bestvina-Fujiwara's WPD condition. We show that in this case typical elements are WPD, and the Poisson boundary coincides with the Gromov boundary. Moreover, we show …

2018-07-26abs ↗pdf ↗

Study positive entropy actions by higher-rank lattices, proving rigidity and conjugacy results.

problem Positive entropy actions by higher-rank lattices in Lie groups.
method Analysis of sub-actions, fiber entropy upper semicontinuity, and conjugacy arguments.
result Actions by higher-rank lattices in SL(n,R)\mathrm{SL}(n,\mathbb{R}) are conjugate to affine actions on (infra-)tori.

ShotgunCSP predicts crystal structures using machine learning, achieving high accuracy with minimal computation.

problem Predicting stable or metastable crystal structures of large systems.
method Noniterative screening using transfer learning and generative models.
result ShotgunCSP achieves 93.3% accuracy in benchmark tests with 90 different crystal structures.

This is the first in a series of papers laying the foundations for a differential graded approach to derived differential geometry (and other geometries in characteristic zero). In this paper, we study theories of supercommutative algebras for which infinitely differentiable functions can be evaluated on elements. Such…

2012-11-26abs ↗pdf ↗

A complete Riemannian manifold (M,g)(M, g) is a YlxY^x_l-manifold if every unit speed geodesic γ(t)γ(t) originating at γ(0)=xMγ(0)=x\in M satisfies γ(l)=xγ(l)=x for 0lR0\neq l\in \R. Bérard-Bergery proved that if (Mm,g),m>1(M^m,g), m>1 is a YlxY^x_l-manifold, then MM is a closed manifold with finite fundamental group, and the cohomology ring …

2010-05-27abs ↗pdf ↗

Given a reducible 33-manifold MM with an aspherical summand in its prime decomposition and a homeomorphism f ⁣:MMf\colon M\to M, we construct a map of degree one from a finite cover of MfS1M\rtimes_f S^1 to a mapping torus of a certain aspherical 33-manifold. We deduce that MfS1M\rtimes_f S^1 has virtually infinite first Be…

2018-10-06abs ↗pdf ↗

ECO-DQN uses RL to improve combinatorial optimization solutions by continuous exploration.

problem Finding optimal subsets or orderings in NP-hard combinatorial optimization problems.
method ECO-DQN learns to explore continuously at test time, improving solutions incrementally.
result ECO-DQN achieves state-of-the-art performance on the Maximum Cut problem.

Study uses AI and ML to predict and optimize corrosion resistance of aluminum alloys.

problem Corrosion resistance of aluminum alloys in marine environments.
method Investigated two ML approaches: direct and inverse, using Random Forest, neural network, and Gaussian Process Regression.
result Gaussian Process Regression with hybrid kernel functions provided superior predictive performance.

The study examines manifolds with specific curvature properties and finds topological and metric constraints.

problem Analyzing manifolds with almost non-negative Ricci curvature and positive scalar curvature bounds.
method Using curvature bounds to deduce metric and topological properties.
result The manifold has at most linear volume growth and at most two ends.

This study proposes a new model for predicting financial distress in SMEs using machine learning.

problem Challenges in predicting financial distress for SMEs due to ambiguity and limited data.
method Feature selection algorithm based on element credits and data source collection. Incorporates financial statements, governance qualities, and market data with a Relevant Vector Machine.
result The proposed model improves financial distress prediction efficiency with fewer characteristic factors.

Abstract: Study of geometric structures on surfaces using various tools.

problem Understanding geometric structures on surfaces.
method Use of volume, contact, symplectic, complex, and almost complex structures; local rigidity results; higher-dimensional analogues; constructions with Riemann surfaces; definitions using surjective homomorphisms; models of hyperbolic plane and 3-space; conformal structures.
result Introduction of new models and constructions for hyperbolic plane and 3-space.

In this paper we work toward the Homflypt skein module of the lens spaces L(p,1)L(p,1), S(L(p,1))\mathcal{S}(L(p,1)), using braids. In particular, we establish the connection between S(ST)\mathcal{S}({\rm ST}), the Homflypt skein module of the solid torus ST, and S(L(p,1))\mathcal{S}(L(p,1)) and arrive at an infinite system, whose solution…

2016-04-21abs ↗pdf ↗

Study explores factors influencing saving behavior among Dhaka employees.

problem Factors influencing saving behavior among Dhaka employees.
method Quantitative approach with cross-sectional survey design, structured questionnaire, descriptive statistics, reliability analysis, regression analysis.
result Only financial management practices had a significant positive relationship with saving behavior.

The paper develops models to understand sensory coding and cortical topography.

problem Understanding how visual cortical areas' receptive fields and topographic maps relate to environmental statistical structure.
method Energy-based models applied to probability density estimation, constrained by biological constraints.
result The models qualitatively reproduce receptive field and map properties found in vivo.

This paper is a follow up to the previous author's paper on convex optimization. In that paper we began the process of adjusting greedy-type algorithms from nonlinear approximation for finding sparse solutions of convex optimization problems. We modified there three the most popular in nonlinear approximation in Banach…

2012-06-02abs ↗pdf ↗

This paper is the second in a series in which the authors study the conjugacy decision problem (CDP) and the conjugacy search problem (CSP) in Garside groups. The ultra summit set USS(X) of an element X in a Garside group G is a finite set of elements in G, introduced by the second author, which is a complete invariant…

2006-06-26abs ↗pdf ↗