Research
On-device research index

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.

168,657 papers · 148 categories

Trend · papers per month

72144216288 · Jun 202019922001200920172026
48 results for local polynomial

We generalize the classical study of Alexander polynomials of smooth or PL locally-flat knots to PL knots that are not necessarily locally-flat. We introduce three families of generalized Alexander polynomials and study their properties. For knots with point singularities, we obtain a classification of these polynomial…

2003-07-24abs ↗pdf ↗

Investigates locally symmetric polynomial metrics in Riemannian and Finslerian surfaces.

problem Analyzing locally symmetric polynomial metrics in Riemannian and Finslerian surfaces.
method Examines Riemannian and Finslerian surfaces, providing necessary and sufficient conditions for locally symmetric fourth root metrics in 2D and more complex conditions for higher dimensions.
result Formulates conditions for positive definiteness of locally symmetric polynomial metrics in Finslerian surfaces and provides explicit examples.

By considering a (not necessarily locally-flat) PL knot as the singular locus of a PL stratified pseudomanifold, we can use intersection homology theory to define intersection Alexander polynomials, a generalization of the classical Alexander polynomial invariants for smooth or PL locally-flat knots. We show that the i…

2003-07-10abs ↗pdf ↗

Study local moduli of Sasaki-Einstein metrics on specific polynomial links.

problem Understanding the local moduli of Sasaki-Einstein metrics on links of invertible polynomials.
method Analyzing Sasaki-Einstein metrics on links of invertible polynomials of cycle type and Thom-Sebastiani sums.
result For polynomials of cycle type, local moduli spaces are zero-dimensional. For Thom-Sebastiani sums, dimensions are positive.

In order to apply quantum topology methods to nonplanar graphs, we define a planar diagram category that describes the local topology of embeddings of graphs into surfaces. These \emph{virtual graphs} are a categorical interpretation of ribbon graphs. We describe an extension of the flow polynomial to virtual graphs, t…

2018-05-01abs ↗pdf ↗

Continuity of roots of hyperbolic polynomials with smooth coefficients.

problem Continuity of the solution map for hyperbolic polynomials.
method Proving continuity of the solution map from hyperbolic polynomials of degree d with C^d coefficients to their increasingly ordered roots.
result Continuity of the solution map for hyperbolic polynomials with C^d coefficients.

Proposes a new regression method using LpL_p-norms for non-Gaussian noise.

problem Non-Gaussian noise in residuals affects the performance of local least squares regression.
method Introduces local polynomial LpL_p-norm regression, replacing weighted least squares with weighted LpL_p-norm estimation.
result Demonstrates superior performance over local least squares in one-dimensional data and higher dimensions.

Study integrable geodesic flows on 2-surfaces with high-degree polynomial first integrals.

problem Integrable geodesic flows on 2-surfaces with high-degree polynomial first integrals.
method Semi-Hamiltonian systems of PDEs and generalized hodograph method.
result Construction of many local explicit and implicit integrable examples with polynomial first integrals of degrees 3, 4, 5.

As we have proved in [L], the geodesic flows associated with the flat metrics on T^2 minimize the polynomial entropy. In this paper, we show that, among the geodesic flows that are Bott integrable and dynamically coherent, the geodesic flows associated to flat metrics are local strict minima for the polynomial entropy.…

2012-07-20abs ↗pdf ↗

Shallow neural networks can represent polynomials efficiently.

problem Representing polynomials using shallow neural networks.
method Using shallow neural networks of width 2(R+d)d2(R+d)^d to represent dd-variate polynomials of degree RR.
result Derives minimax optimal convergence rate for shallow networks to unknown univariate regression functions.

We define twisted Alexander polynomials of a complex hypersurface with arbitrary singularities. These generalize the classical Alexander polynomials of high dimensional hypersurfaces and the twisted Alexander polynomial of plane curves. We recover the classical torsionness and divisibility results, which say that, unde…

2015-01-24abs ↗pdf ↗

Study local perturbations of vector bundles with polynomial curvature solutions.

problem Existence and stability of solutions to geometric PDEs under deformations.
method Geometric invariant theory, moment map framework, polystability conditions.
result Existence and uniqueness of solutions under local polystability conditions.

New proof of Alesker's Irreducibility Theorem using localization techniques.

problem Representing polynomial valuations on convex bodies.
method Introducing a localization technique for polynomial valuations and reducing to a representation problem for differential forms.
result Smooth and translation invariant valuations are representable by integration with the normal cycle.

Study shows polynomial-width neural networks can closely approximate infinite-width networks in polynomial time.

problem Approximating dynamics of polynomial-width neural networks with infinite-width networks.
method Bounding approximation gap through a differential equation governed by mean-field dynamics, considering local Hessian.
result Polynomially many neurons are sufficient to closely approximate mean-field dynamics.

This study shows the moment-SOS hierarchy converges in polynomial optimization over product of spheres.

problem Minimizing multihomogeneous polynomials over product of spheres.
method Moment-SOS hierarchy, local optimality conditions, differential geometry, Morse theory.
result The moment-SOS hierarchy has finite convergence for generic multihomogeneous objective functions.

In this paper we give an explicit formula for the twisted Alexander polynomial of any torus link and show that it is a locally constant function on the SL(2,C)SL(2, \mathbb C)-character variety. We also discuss similar things for the higher dimensional twisted Alexander polynomial and the Reidemeister torsion.

2019-04-17abs ↗pdf ↗

The study sharpens local Bernstein estimates for Laplace eigenfunctions on compact manifolds.

problem Understanding local growth properties of Laplace eigenfunctions on compact Riemannian manifolds.
method Refined Donnelly-Fefferman method based on L2L^{2}--Carleman estimates, combined with elliptic regularity and patching of local Carleman estimates.
result Almost sharp local LpL^{p}--Bernstein inequalities for p[1,]p\in[1,\infty].

For any virtual link L=STL = S \cup T that may be decomposed into a pair of oriented nn-tangles SS and TT, an oriented local move of type TTT \mapsto T' is a replacement of TT with the nn-tangle TT' in a way that preserves the orientation of LL. After developing a general decomposition for the Jones polynomial of …

2019-03-10abs ↗pdf ↗

We study a class of 2-variable polynomials called exact polynomials which contains AA-polynomials of knot complements. The Mahler measure of these polynomials can be computed in terms of a volume function defined on the vanishing set of the polynomial. We prove that the local extrema of the volume function are on the …

2018-04-04abs ↗pdf ↗

The paper explores algebraic properties of Alexander polynomials and Reidemeister torsions for torus knots.

problem Investigating algebraic properties of Alexander polynomials and Reidemeister torsions for torus knots.
method Analyzing twisted Alexander polynomials and Reidemeister torsions of torus knots associated with irreducible SLn(C)\mathrm{SL}_n(\Bbb C)-representations.
result Proves that coefficients of twisted Alexander polynomials are locally constant functions on the SLn(C)\mathrm{SL}_n(\Bbb C)-character variety.

Given a homomorphism from a knot group to a fixed group, we introduce an element of a K1K_1-group, which is a generalization of (twisted) Alexander polynomials. We compare this K1K_1-class with other Alexander polynomials. In terms of semi-local rings, we compute the K1K_1-classes of some knots and show their non-trivi…

2020-02-24abs ↗pdf ↗

New approach to adaptively select bandwidths in nonparametric regression.

problem Adaptive bandwidth selection in nonparametric regression.
method Inspired by 2\ell_2-norms of interval projections, introduces a new bandwidth selection procedure.
result Obtains non-asymptotic risk bounds for local polynomial regression methods that adapt to local Hölder exponent.

The space C of conservative vertex colorings (over a field F) of a countable, locally finite graph G is introduced. The subspace of based colorings is shown to be isomorphic to the bicycle space of the graph. For graphs G with a free Z^d-action by automorphisms, C is a finitely generated module over the polynomial ring…

2014-08-27abs ↗pdf ↗

Covariance pooling is a feature pooling method with good classification accuracy. Because covariance features consist of second-order statistics, the scale of the feature elements are varied. Therefore, normalizing covariance features using a matrix square root affects the performance improvement. When pooling methods …

2019-06-05abs ↗pdf ↗

A pseudo-Riemannian manifold is called CSI if all scalar polynomial invariants constructed from the curvature tensor and its covariant derivatives are constant. In the Lorentzian case, the CSI spacetimes have been studied extensively due to their application to gravity theories. It is conjectured that a CSI spacetime i…

2018-12-28abs ↗pdf ↗

Accelerates ERM problems with LPI-GD and improved oracle complexity.

problem Empirical Risk Minimization (ERM) problems with strong convexity and smoothness.
method Local Polynomial Interpolation-based Gradient Descent (LPI-GD) and accelerated methods.
result Oracle complexity improved to $ ilde{O}\left(\sqrtσ m^d \log(1/\varepsilon) ight)$.

Ancient caloric functions on manifolds with polynomial growth are studied under volume doubling barrier.

problem Analyzing ancient caloric functions on manifolds beyond volume doubling.
method Time polynomial structure result on ancient caloric functions with polynomial growth.
result Finiteness result for ancient caloric functions is essentially sharp, except for multi-end cases.

New methods test discrete distributions faster with local privacy constraints.

problem Testing discrete distributions under local differential privacy constraints.
method Efficient randomized algorithms and test procedures, both non-interactive and interactive.
result Faster separation rates in interactive privacy mechanisms.

MixCIT tests conditional independence for mixed data types efficiently and reliably.

problem Testing conditional independence for mixed data types, especially when at least one is continuous.
method Graph-based test statistic comparing kernel similarities, debiased local-polynomial approach for continuous variables.
result Unified, efficient, and statistically guaranteed solution across heterogeneous data types.

Polynomial delay algorithm tests causal models with hidden variables.

problem Testing causal models with hidden variables in polynomial delay.
method c-component local Markov property (C-LMP) and polynomial delay algorithm.
result First algorithm for poly-delay testing of CIs in causal graphs with hidden variables.

Paper addresses ERM in LDP, reducing sample complexity for smooth and convex losses.

problem Achieving error α in ERM with non-interactive LDP, especially for high-dimensional data.
method Developed algorithms using Bernstein polynomial and polynomial approximation techniques.
result For smooth and convex losses, sample complexity is linear in dimensionality.