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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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316293124 · Jun 202019922001200920172026
48 results for topological quantities

The paper explores geometric properties of free boundary hypersurfaces in balls.

problem Geometric properties of free boundary hypersurfaces in balls.
method Establishing relationships between geometric quantities of hypersurfaces and their boundaries.
result Umbilical points of free boundary surfaces in the unit ball depend only on their topology.

Derive monotone quantities for harmonic functions on asymptotically flat 3-manifolds with nonnegative scalar curvature.

problem Derive monotone quantities for harmonic functions on asymptotically flat 3-manifolds with nonnegative scalar curvature.
method Follow the strategy developed in Miao.
result Derive monotone quantities for harmonic functions on asymptotically flat 3-manifolds with nonnegative scalar curvature.

The paper extends surface link coloring theory to triplane diagrams and knots.

problem Understanding the topological properties of knots and surfaces in 4-space.
method Translated Niebrzydowski's theory of region colorings to triplane diagrams and movies of knots, providing inequalities and applications.
result Yoshikawa's 2-knots 919_1 and 10210_2 are non-invertible.

New geometric quantities help classify manifolds and relate to entropy.

problem Classifying Riemannian manifolds using geometric quantities.
method Introducing and analyzing asymptotic geometric quantities like p-capacity, eigenvalues, and Maz'ya constant.
result Geometric quantities coincide with entropy in specific conditions, characterizing manifolds.

We consider closed and orientable immersed hypersurfaces of translational manifolds. Given a vector field on such a hypersurface, we define a perturbation of its Gauss map, which allows us to obtain topological invariants for the immersion that depends on the geometry of the manifold and the ambient space. We use these…

2016-11-07abs ↗pdf ↗

Machine learning predicts topological properties of Calabi-Yau manifolds.

problem Predicting topological quantities of Calabi-Yau manifolds.
method Machine learning approach using neural networks and symbolic regressors.
result High performance scores in predicting Sasakian Hodge numbers and Crowley-Nördstrom invariant.

We introduce the concept of community trees that summarizes topological structures within a network. A community tree is a tree structure representing clique communities from the clique percolation method (CPM). The community tree also generates a persistent diagram. Community trees and persistent diagrams reveal topol…

2017-10-11abs ↗pdf ↗

Let M be a compact manifold with a fixed spin structure χ. The Atiyah-Singer index theorem implies that for any metric g on M the dimension of the kernel of the Dirac operator is bounded from below by a topological quantity depending only on M and χ. We show that for generic metrics on M this bound is attained.

2006-06-09abs ↗pdf ↗

The paper derives inequalities for pp-capacitary functions in 3-manifolds with nonnegative scalar curvature.

problem Deriving inequalities for pp-capacitary functions in 3-manifolds with nonnegative scalar curvature.
method Deriving general monotone quantities and geometric inequalities associated with pp-capacitary functions in asymptotically flat 3-manifolds with nonnegative scalar curvature.
result The inequalities become equalities on the spatial Schwarzschild manifolds outside rotationally symmetric spheres.

Study on Einstein deformations and desingularizations, finding some 4-orbifolds cannot be limits of smooth metrics.

problem Whether every Einstein 4-orbifold is a limit of smooth Einstein 4-manifolds.
method Analysis of integrability of deformations through variations of Schoen's Pohozaev identity and introduction of preserved integral quantities.
result Spherical and hyperbolic 4-orbifolds with the simplest singularities cannot be limits of smooth Einstein 4-manifolds.

New framework improves worst-case generalization bounds for stochastic optimization.

problem Challenges in providing generalization guarantees for stochastic optimization algorithms.
method Introduces random set stability and empirically relevant complexity measures to avoid intractable mutual information terms.
result Bounded worst-case generalization error in terms of random set stability and empirically relevant complexity measures.

In this paper we determine the cosmological constant as a topological invariant by applying certain techniques from low dimensional differential topology. We work with a small exotic R4R^{4} which is embedded into the standard R4\mathbb{R}^{4}. Any exotic R4R^4 is a Riemannian smooth manifold with necessary non-vanishi…

2017-09-11abs ↗pdf ↗

Paper introduces stable vectorization for multiparameter PH using signed barcodes.

problem Lack of stable vectorization methods for multiparameter persistent homology.
method Signed barcodes as measures for stable vectorization of MPH.
result Stable feature vectors from signed barcodes improve performance in data science.

A new discretisation of a doubled, i.e. BF, version of the pure abelian Chern-Simons theory is presented. It reproduces the continuum expressions for the topological quantities of interest in the theory, namely the partition function and correlation function of Wilson loops. Similarities with free spinor field theory a…

1997-04-21abs ↗pdf ↗

The counting function on the natural numbers defines a discrete Morse-Smale complex with a cohomology for which topological quantities like Morse indices, Betti numbers or counting functions for critical points of Morse index are explicitly given in number theoretical terms. The Euler characteristic of the Morse filtra…

2016-08-22abs ↗pdf ↗

Topological data analysis aims to extract topological quantities from data, which tend to focus on the broader global structure of the data rather than local information. The Mapper method, specifically, generalizes clustering methods to identify significant global mathematical structures, which are out of reach of man…

2019-10-17abs ↗pdf ↗

Develops a braid-theoretic framework to analyze chirality in molecular knots.

problem Analyzing chirality in molecular knots constructed using circuit topology.
method Translated circuit topology approach to knot engineering into braid-theoretic framework, calculating Jones polynomial for binary combinations.
result Jones polynomial provides a powerful tool for analyzing chirality of molecular knots.

We introduce a natural extension of the concept of gradient Ricci soliton: the Ricci almost soliton. We provide existence and rigidity results, we deduce a-priori curvature estimates and isolation phenomena, and we investigate some topological properties. A number of differential identities involving the relevant geome…

2010-03-15abs ↗pdf ↗

In this paper we study elliptic PDEs on compact Gromov-Hausdorff limit spaces of Riemannian manifolds with lower Ricci curvature bounds. In particular we establish continuities of geometric quantities, which include solutions of Poisson's equations, eigenvalues of Schrodinger operators, generalized Yamabe constants and…

2014-10-13abs ↗pdf ↗

We investigate the geometric characteristics of constant gaussian curvature surfaces obtained from solutions of the G(m,n)G(m,n) sigma model. Most of these solutions are related to the Veronese sequence. We show that we can distinguish surfaces with the same gaussian curvature using additional quantities like the topologic…

2014-12-03abs ↗pdf ↗

Study uses topological signatures to quantify financial market complexity.

problem Capturing temporal organization beyond volatility measures.
method Null validated topological approach using L1L^1 norm of persistence landscapes.
result Persistence landscape norms reveal dynamical structure during market stress.

Paper analyzes D-SGD convergence with heterogeneous data and proposes topology learning.

problem Efficiently dealing with data heterogeneity in decentralized learning.
method Revisits D-SGD analysis, introduces neighborhood heterogeneity, and proposes topology learning.
result Formulates topology learning as a tractable optimization problem and demonstrates its effectiveness.

Braided vector fields on spatial subdomains homeomorphic to the cylinder play a crucial role in applications such as solar and plasma physics, relativistic astrophysics, fluid and vortex dynamics, elasticity, and bio-elasticity. Often the vector field's topology -- the entanglement of its field lines -- is non-trivial,…

2019-09-17abs ↗pdf ↗

Let MM be a compact 3-manifold with a triangulation ττ. We give an inequality relating the Euler characteristic of a surface FF normally embedded in MM with the number of normal quadrilaterals in FF. This gives a relation between a topological invariant of the surface and a quantity derived from its combinatorial …

2008-10-01abs ↗pdf ↗

Families of objects appear in several contexts, like algebraic topology, theory of deformations, theoretical physics, etc. An unified coordinate-free algebraic framework for families of geometrical quantities is presented here, which allows one to work without introducing ad hoc spaces, by using the language of differe…

2013-02-08abs ↗pdf ↗

We explain the topology of the space, so called, Fredholm-Lagrangian-Grassmannain and the quantity ``Maslov index'' for paths in this space based on the standard theory of Functional Analysis. Our standing point is to define the Maslov index for arbitrary paths in terms of the fundamental spectral property of the Fredh…

2003-11-27abs ↗pdf ↗

Study finds conserved quantities for two types of curves on conformal sphere.

problem Identifying conserved quantities for specific types of curves on a conformal sphere.
method Used parallel tractor and Lagrangian formalism to compute conserved quantities.
result Found relation between conserved quantities of two curve types.

Study quantifies properties of PMC hypersurfaces with area bounds.

problem Understanding the topology and singular set of PMC hypersurfaces.
method Established quantitative topological and singularity properties for PMC hypersurfaces.
result Quantitative bounds on Betti numbers and Minkowski content of singular sets.

We define the stabilizing number sn(K)\operatorname{sn}(K) of a knot KS3K \subset S^3 as the minimal number nn of S2×S2S^2 \times S^2 connected summands required for KK to bound a nullhomotopic locally flat disc in D4#nS2×S2D^4 \# n S^2 \times S^2. This quantity is defined when the Arf invariant of KK is zero. We show that $\oper…

2019-01-05abs ↗pdf ↗

The preceding paper constructed tangle machines as diagrammatic models, and illustrated their utility with a number of examples. The information content of a tangle machine is contained in characteristic quantities associated to equivalence classes of tangle machines, which are called invariants. This paper constructs …

2014-04-10abs ↗pdf ↗