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

174348521695 · Jun 202019922001200920172026
48 results for polynomial functions

Paper connects AJ conjecture and colored Jones polynomial potential function.

problem Relationship between AA-polynomial and colored Jones polynomial.
method Connects AJ conjecture and colored Jones polynomial potential function.
result Establishes connection between AA-polynomial and colored Jones polynomial potential function.

Study on unimodality of plucking polynomial with delay function.

problem Exploring unimodality of plucking polynomial with delay function.
method Presented a formula for the plucking polynomial of hedgehog rooted trees and explored unimodality with specific delay functions.
result Found interesting examples and speculations on unimodality of plucking polynomials with delay functions.

Study on polynomial growth functions and forms on gradient Ricci solitons.

problem Estimating dimensions of polynomial growth holomorphic functions and forms.
method Relating to spectral data of the ff-Laplacian, proving estimates under curvature assumptions.
result Sharp dimension estimates and almost sharp frequency estimates for polynomial growth holomorphic functions.

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 generalizes polynomial functions on Lie groups and their properties.

problem Generalizing polynomial functions on Lie groups and understanding their properties.
method Generalizing the notion of polynomial functions and horizontally affine maps on Lie groups.
result S-polynomial functions are equivalent to polynomial functions in the sense of Leibman in connected nilpotent Lie groups.

Classifies polynomial growth solutions to drift-harmonic equations on asymptotically paraboloidal manifolds.

problem Classifying polynomial growth solutions to drift-harmonic equations on specific types of manifolds.
method Inductive argument that alternates between constructing and asymptotically controlling drift-harmonic functions.
result All drift-harmonic functions with polynomial growth asymptotically separate variables and dimensions of spaces are computed.

Study polynomial growth harmonic functions on infinite penny graphs.

problem Finite-dimensional property of polynomial growth harmonic functions on infinite penny graphs.
method Asymptotically sharp dimensional estimate for ancient solutions of the heat equation.
result Proved the asymptotically sharp dimensional estimate.

Analytic functions on specific domains are characterized by their smoothness and composites with polynomial curves.

problem Characterizing real analytic functions on closed subanalytic domains.
method Analyzing functions defined on closed uniformly polynomially cuspidal sets in Rn\mathbb{R}^n using composites with polynomial curves.
result Conditions for a function to be real analytic are effectively related to the regularity of the boundary of the domain.

In this work we describe a new invariant of virtual knots. We show that this transcendental function invariant generalizes several polynomial invariants of virtual knots, such as the writhe polynomial, the affine index polynomial and the zero polynomial.

2015-11-26abs ↗pdf ↗

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.

This work improves polynomial approximations for functions with asymmetric behavior.

problem Efficiently approximating functions with asymmetric behavior, especially those growing unbounded on one side.
method Introduces weighted deep polynomial approximants that combine learnable deep polynomials with one-sided weights.
result Weighted deep polynomial approximants outperform existing methods in approximating functions with asymmetric behavior.

Study slice-regular polynomial functions via twistor space group actions.

problem Characterize slice-regular functions and their polynomial subclasses.
method Employ the twistor construction and group actions of PGL(2,H)\mathrm{PGL}(2,\mathbb{H}).
result Characterize slice-regular functions with planar twistor lifts and normal classes of polynomials.

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.

For any manifold with polynomial volume growth, we show: The dimension of the space of ancient caloric functions with polynomial growth is bounded by the degree of growth times the dimension of harmonic functions with the same growth. As a consequence, we get a sharp bound for the dimension of ancient caloric functions…

2019-02-05abs ↗pdf ↗

Holomorphic functions grow polynomially on Kähler-Ricci shrinkers, proving ring finitely generated.

problem Understanding polynomial growth of holomorphic functions on Kähler-Ricci shrinkers.
method Analyzing scalar curvature conditions to prove finite generation of the ring of holomorphic functions.
result The ring of holomorphic functions with polynomial growth on Kähler-Ricci shrinkers is finitely generated.

It is shown that, in the 1-jet space of the circle, the swapping and the flyping procedures, which produce topologically equivalent links, can produce nonequivalent legendrian links. Each component of the links considered is legendrian isotopic to the 1-jet of the 0-function, and thus cannot be distinguished by the cla…

2001-10-20abs ↗pdf ↗

Deep neural networks with piecewise-polynomial activations can approximate smooth functions and their derivatives.

problem Approximating smooth functions and their derivatives with neural networks.
method Derives the depth, width, and sparsity required for approximation in Hölder norms.
result Deep neural networks with bounded weights can approximate Hölder smooth functions and their derivatives.

All link types arise from semiholomorphic polynomials.

problem Proving every link type can be represented by semiholomorphic polynomials.
method Constructive proof showing every link type arises from a weakly isolated singularity of a semiholomorphic polynomial.
result Every link type in the 3-sphere arises as the link of a weakly isolated singularity of a semiholomorphic polynomial.

The paper shows neural networks can approximate functions over non-compact domains with non-polynomial activation.

problem Approximating functions over non-compact domains using neural networks.
method Using single-hidden-layer feedforward neural networks with non-polynomial activation functions over non-compact subsets of Euclidean spaces.
result Neural networks can approximate functions in weighted CkC^k-spaces and weighted Sobolev spaces over unbounded domains.

The Jones polynomial of a knot in 3-space is a Laurent polynomial in qq, with integer coefficients. Many people have pondered why is this so, and what is a proper generalization of the Jones polynomial for knots in other closed 3-manifolds. Our paper centers around this question. After reviewing several existing defin…

2006-01-07abs ↗pdf ↗

Non-negative L1L_1-approximating polynomials for Gaussian distributions are proven for certain classes of sets.

problem Existence of non-negative L1L_1-approximating polynomials for Gaussian distributions.
method Proving the existence of degree-kk non-negative polynomials that approximate indicator functions of sets with Gaussian surface area in L1L_1-norm.
result Proves the existence of non-negative L1L_1-approximating polynomials for certain classes of sets with Gaussian surface area.

We show that the standard stochastic gradient decent (SGD) algorithm is guaranteed to learn, in polynomial time, a function that is competitive with the best function in the conjugate kernel space of the network, as defined in Daniely, Frostig and Singer. The result holds for log-depth networks from a rich family of ar…

2017-02-27abs ↗pdf ↗

Explicit polynomial bound found for subgroup Dehn function.

problem Finding explicit bounds on Dehn functions of subgroups of hyperbolic groups.
method Constructing a specific example of a non-hyperbolic subgroup and analyzing its Dehn function.
result Explicit polynomial upper bound n96n^{96} on the Dehn function of a non-hyperbolic subgroup.

We study deep neural networks with polynomial activations, particularly their expressive power. For a fixed architecture and activation degree, a polynomial neural network defines an algebraic map from weights to polynomials. The image of this map is the functional space associated to the network, and it is an irreduci…

2019-05-29abs ↗pdf ↗

In an earlier paper the first author defined a non-commutative A-polynomial for knots in 3-space, using the colored Jones function. The idea is that the colored Jones function of a knot satisfies a non-trivial linear q-difference equation. Said differently, the colored Jones function of a knot is annihilated by a non-z…

2005-04-14abs ↗pdf ↗

Study introduces a new method for multiple parameter regularization in polynomial functional regression.

problem Handling varying regularization parameters in polynomial functional regression.
method Developed a theoretically grounded algorithm for multiple parameter regularization and model aggregation.
result Promising results from evaluations on synthetic and real-world data.

Study on colored Jones polynomial and link complements.

problem Understanding the structure of link complements with arbitrary colors.
method Investigated the potential function of the colored Jones polynomial and established a relationship with hyperbolicity.
result Evidence supports the Chen-Yang conjecture on link complements.

Research on mixed polynomials, extending non-degeneracy concepts to complex variables.

problem Extending non-degeneracy concepts to mixed polynomials in complex variables.
method Generalization of Mondal's partial non-degeneracy to mixed polynomials, introducing new concepts and proving properties.
result Strong partial non-degeneracy implies isolated singularities, and mixed polynomials that are strongly inner non-degenerate satisfy the strong Milnor condition.

New LL-functions for 3-manifolds connect to Witten invariants and relate to generalized Bernoulli polynomials.

problem Understanding LL-functions for 3-manifolds and their invariants.
method Using Mellin transforms and asymptotic techniques, proving entire functions and their values.
result Linear relations between LL-function values at negative integers, generalizing known zeta functions.

This paper studies a specific blow-up algorithm for sop polynomials and their RLCT.

problem Determining the RLCT of sum-of-products polynomials through blow-up.
method Investigates a specific blow-up algorithm for sop polynomials to resolve their singularities.
result It is possible to resolve the singularities of sop polynomials using a specific blow-up algorithm.

We show that for a special alternating link diagram, the following three polynomials are essentially the same: a) the part of the HOMFLY polynomial that corresponds to the leading term in the Alexander polynomial; b) the hh-vector for a triangulation of the root polytope of the Seifert graph and c) the enumerator of p…

2013-05-21abs ↗pdf ↗