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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.

169,341 papers · 148 categories

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25.0%50.0%75.0%100.0% · Feb 199419922001200920182026
48 results for field coefficients

Characterizes differential forms and vector fields with constant coefficients on manifolds.

problem Understanding constant coefficient differential forms and vector fields on manifolds.
method Analyzes differential forms and vector fields of specific degrees, proving obstructions and characterizing solutions to partial differential systems.
result Characterizes differential forms and vector fields with constant coefficients of various degrees on smooth manifolds.

Investigates simplicial volume over finite fields and compares it with other coefficients.

problem Examines simplicial volume over Fp\mathbb{F}_p coefficients.
method Analyzes simplicial volume and gradient invariants over Fp\mathbb{F}_p coefficients, comparing with other coefficient rings.
result Compares simplicial volumes and Betti numbers over different coefficient rings.

ARMA nets expand receptive fields for dense prediction tasks.

problem Global information in dense prediction problems is challenging for traditional convolutional layers.
method ARMA layers with adjustable autoregressive coefficients replace traditional convolutions.
result ARMA networks improve dense prediction tasks including video prediction and semantic segmentation.

We prove that the space M(K(x,y))M(K(x,y)) of R\mathbb R-places of the field K(x,y)K(x,y) of rational functions of two variables with coefficients in a totally Archimedean field KK has covering and integral dimensions $\dim M(K(x,y))=\dim_\IZ M(K(x,y))=2$ and the cohomological dimension dimGM(K(x,y))=1\dim_G M(K(x,y))=1 for any Abelian 2-di…

2011-10-23abs ↗pdf ↗

Machine learning predicts properties of number fields with high accuracy.

problem Predicting properties of algebraic number fields.
method Training machine learning algorithms on various coefficients or polynomials of number fields.
result Machine learning can distinguish between real quadratic fields with high precision and predict properties of Galois extensions.

Quantum field theory methods yield a physical interpretation of elliptic cohomology.

problem Constructing elliptic cohomology with complex coefficients.
method Using 2D quantum field theory to rigorously construct cocycles.
result Physical interpretation of the elliptic index theorem with complex coefficients.

Researchers calculate the second coefficient in the expansion of a Toeplitz operator.

problem Analyzing the second coefficient in the semi-classical expansion of Toeplitz operators.
method Functional calculus of Toeplitz operators with Reeb vector fields and asymptotic analysis.
result The second coefficient of the expansion is calculated.

Study optimal portfolios for many players in a market model with random coefficients.

problem Optimal portfolio selection for many players under relative performance criteria in a market model with random coefficients.
method Game theory and stochastic optimal control, focusing on CARA and CRRA risk preferences, and extending to continuum of players.
result Existence of forward Nash equilibrium and mean field equilibrium for the n-agent game and corresponding mean field stochastic optimal control problem.

New method uses resurgent analysis to determine growth rate of quantum field theory coefficients.

problem Determining the growth rate of quantum field theory coefficients.
method Resurgence analysis on the Stokes line, leading to transseries decomposition and continued across natural boundary.
result Essential exponent of growth has Cardy-like interpretation as effective central charge.

In sub-Riemannian geometry the coefficients of the Jacobi equation define curvature-like invariants. We show that these coefficients can be interpreted as the curvature of a canonical Ehresmann connection associated to the metric, first introduced in [Zelenko-Li]. We show why this connection is naturally nonlinear, and…

2015-06-05abs ↗pdf ↗

The study finds conditions for a third rank Killing tensor field on a 2D Riemannian torus.

problem Conditions for the existence of a third rank Killing tensor field on a 2D Riemannian torus.
method Analyzes the metric of the torus and uses Fourier coefficients to derive conditions for the function λ.
result Equations relating Fourier coefficients of the function λ determine the existence of a third rank Killing tensor field.

We provide a differential cocycle model for elliptic cohomology with complex coefficients and use analytic methods to construct a cocycle representative for the Witten class in this language. Our motivation stems from the conjectural connection between 2-dimensional field theories and elliptic cohomology originally due…

2013-11-26abs ↗pdf ↗

The pseudo-Finsleroid relativistic metric was constructed upon assuming that the involved vector field bib_i is time-like. In the present paper it is shown that the metric admits just the alternative counterpart in which the field is space-like. The entailed pseudo-Finsleroid-spatial framework is systematically describ…

2008-06-16abs ↗pdf ↗

The space of differential operators acting on skewsymmetric tensor fields or on smooth forms of a smooth manifold are representations of its Lie algebra of vector fields. We compute the first cohomology spaces of these representations and show how they are related to the cohomology with coefficients in ther space of sm…

2002-08-30abs ↗pdf ↗

The subject for investigation in this note is concerned with holomorphic Poisson structures on nilmanifolds with abelian complex structures. As a basic fact, we establish that on such manifolds, the Dolbeault cohomology with coefficients in holomorphic polyvector fields is isomorphic to the cohomology of invariant form…

2015-09-03abs ↗pdf ↗

New field invariant refines real spectrum and relates to absolute Galois group.

problem Understanding field invariants related to absolute Galois groups.
method Introducing Artin-Schreier quandles and computing their properties for different types of fields.
result Artin-Schreier quandles provide relations between fields and their absolute Galois groups.

The paper connects Gaussian matrix models to cohomological field theories using topological recursion.

problem Understanding Gaussian matrix model means in all genera.
method Explicit relation between Gaussian means and KPMM, topological recursion.
result Coefficients of Gaussian means in all genera are polynomials in special times weighted by ancestor invariants.

We extend the topological field theory (``itsy bitsy topological field theory"') of our previous work from mod-2 to twisted coefficients. This topological field theory is derived from sutured Floer homology but described purely in terms of surfaces with signed points on their boundary (occupied surfaces) and curves on …

2014-01-24abs ↗pdf ↗

The abstract proposes a neural network theory using quantum field theory.

problem Understanding the behavior of neural networks in the asymptotic and non-asymptotic limits.
method Mapping neural networks to Wilsonian effective field theory, using Gaussian processes and Feynman diagrams.
result Established a direct connection between overparameterization and simplicity of neural network likelihoods.

Let T be a torus. We present an exact sequence relating the relative equivariant cohomologies of the skeletons of an equivariantly formal T-space. This sequence, which goes back to Atiyah and Bredon, generalizes the so-called Chang-Skjelbred lemma. As coefficients, we allow prime fields and subrings of the rationals, i…

2003-07-09abs ↗pdf ↗

Factorization homology theories of topological manifolds, after Beilinson, Drinfeld and Lurie, are homology-type theories for topological nn-manifolds whose coefficient systems are nn-disk algebras or nn-disk stacks. In this work we prove a precise formulation of this idea, giving an axiomatic characterization of fa…

2012-06-24abs ↗pdf ↗

Researchers construct a series from knot data to match Kashaev invariant coefficients.

problem Constructing a series from knot data to match Kashaev invariant coefficients.
method Using Neumann-Zagier data and complex roots of unity, constructing a power series from a knot complement.
result The coefficients of the constructed series lie in the trace field of the knot, adjoined a complex root of unity.

We study the behaviour of differential forms in a manifold having at least one of their maximal isotropic local distributions endowed with the special algebraic property of being decomposable. We show that they can be represented as the sum of a form with constant coefficients and one that vanishes whenever contracted …

2009-09-04abs ↗pdf ↗

The paper proves stability and instability in homology groups of automorphism groups of free groups.

problem Homological stability and instability in automorphism groups of free groups.
method General homological stability theorem for certain families of groups with product maps, followed by theorems about the last two homology groups outside the stable range.
result New proofs of homological stability with improved stable range, description of last unstable group, and lower bound on penultimate unstable group.

Proposes an adversarial algorithm to learn unbiased representations via HGR coefficient.

problem Learning fair representations without sensitive attribute information.
method Adversarial algorithm using Hirschfeld-Gebelein-Renyi (HGR) maximal correlation coefficient.
result Significant improvements in bias mitigation compared to existing methods.

The nullspace and regularization impact high-dimensional linear regression interpretability.

problem Interpreting high-dimensional linear regression coefficients in complex data.
method Optimization formulation to compare coefficients and physical knowledge.
result Regularization and z-scoring choices affect interpretability and true coefficient closeness.

Formula calculates instanton homology dimensions for knot surgeries over arbitrary fields.

problem Calculating instanton homology dimensions for knot surgeries over arbitrary fields.
method Established a dimension formula for framed instanton homology of knot surgeries over arbitrary fields.
result Formula generalizes instanton homology dimensions to arbitrary fields, including new results for p/qp/q and knots.

Framework uses deep learning and statistical models to solve PDEs with discontinuous coefficients.

problem Solving PDEs with discontinuous coefficients.
method Two-stage physics-informed deep learning and statistical mixture models.
result Framework achieves adaptability and accurate parameter identification.

Study constructs infinite families of non-singular black hole solutions with a negative cosmological constant.

problem Constructing non-singular black hole solutions with a negative cosmological constant.
method Using an elliptic system of equations with complex coefficients for complex-valued tensor fields.
result Infinite-dimensional families of non-singular stationary black hole solutions with a negative cosmological constant.