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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.

169,042 papers · 148 categories

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211422633844 · Jun 202019922001200920172026
48 results for additive number theory

Bounding characteristic numbers of Riemannian manifolds via volume.

problem Bounding characteristic numbers of Riemannian manifolds.
method Using Chern-Weil theory and connections constructed from harmonic metric tensors with bounded Hölder norms.
result Characteristic numbers are bounded proportionally to the volume of Riemannian manifolds.

Study on knot unknotting numbers and their behavior under connected sums.

problem Behavior of knot unknotting numbers under connected sums.
method Analyzing the band-unknotting number and its sub-additivity properties.
result Infinitely many examples showing unb(K1#K2)<unb(K1)+unb(K2)u_{nb}(K_1\#K_2) < u_{nb}(K_1) + u_{nb}(K_2) and unb(K1#K2)<unb(Ki)u_{nb}(K_1\#K_2) < u_{nb}(K_i) for i=1,2i=1,2.

Study geodesics in curved spaces, counts ambiguous paths, confirms number theory conjectures.

problem Counting ambiguous geodesics in curved spaces.
method Asymptotic formula for common perpendiculars in negatively curved spaces, applying to modular orbifolds and number fields.
result Confirms and extends Motohashi's conjecture on binary additive divisor problem.

The study examines how quantum resources enhance the complexity of quantum circuits.

problem Quantum resource enhancement on circuit complexity.
method Utilizing quantum resource theories, the study analyzes statistical complexities of quantum circuits with limited quantum resources.
result Bounds for statistical complexities of quantum circuits are derived and applied to specific cases.

It is known that evolution strategies in continuous domains might not converge in the presence of noise. It is also known that, under mild assumptions, and using an increasing number of resamplings, one can mitigate the effect of additive noise and recover convergence. We show new sufficient conditions for the converge…

2014-04-09abs ↗pdf ↗

A well-known conjecture in knot theory says that the percentage of hyperbolic knots amongst all of the prime knots of nn or fewer crossings approaches 100100 as nn approaches infinity. In this paper, it is proved that this conjecture contradicts several other plausible conjectures, including the 120-year-old conjectur…

2016-12-11abs ↗pdf ↗

RL pipeline simplifies knot diagrams, including very hard unknots.

problem Simplifying complex knot diagrams, especially very hard unknots.
method Reinforcement learning for move proposals and heuristic navigation of Reidemeister moves.
result Trained agent simplifies diagrams, including a 41#9104_1\#9_{10} link to a three-step unknotting process.

BART improves predictive performance but slows down with more data.

problem Understanding and improving the computational efficiency of BART with large datasets.
method Asymptotic analysis of a modified BART sampler, focusing on hitting time of high posterior density sets.
result The convergence time of the BART sampler increases with the number of training samples due to multi-modality, but can be mitigated by increasing the number of trees or raising the sampler temperature.

Adding an unknot to any link equals its bridge number and meridional rank.

problem Proving the Meridional Rank Conjecture for any link.
method Embedding an unknot in a link's complement to achieve the conjecture and proving it for new families of links.
result Bridge numbers and meridional ranks are equal for any link and its unknot.

Given a link map f into a manifold of the form Q = N \times \Bbb R, when can it be deformed to an unlinked position (in some sense, e.g. where its components map to disjoint \Bbb R-levels) ? Using the language of normal bordism theory as well as the path space approach of Hatcher and Quinn we define obstructions \widet…

2004-08-03abs ↗pdf ↗

Study on equivariant Heegaard genus of reducible 3-manifolds with group actions.

problem Understanding the equivariant Heegaard genus of reducible 3-manifolds with group actions.
method Thin position theory for 3-dimensional orbifolds to establish bounds on equivariant Heegaard genus.
result Sharp bounds on equivariant Heegaard genus of reducible manifolds, similar to tunnel number results.

We prove that within a certain threshold, the odd Betti numbers of any compact almost-hermitian manifold satisfying a degenerate Kähler condition are even, and the even Betti numbers are strictly positive.

problem The topology of Kähler manifolds is largely determined by the geometry due to its rigidity.
method We prove that within a certain threshold, the odd Betti numbers of any compact almost-hermitian manifold satisfying a degenerate Kähler condition are even, and the even Betti numbers are strictly positive.
result We prove that within a certain threshold, the odd Betti numbers of any compact almost-hermitian manifold satisfying a degenerate Kähler condition are even, and the even Betti numbers are strictly positive.

Study of machine learning in quiver gauge theories and Seiberg duality.

problem Determining dualities in quiver gauge theories using machine learning.
method Defined and explored various questions related to binary and multi-class duality determination, evaluated performance of different classifiers, and analyzed effects of additional data.
result High accuracy and confidence achieved in determining dualities using machine learning.

Unified stability bounds for noisy SGD across convex and non-convex losses.

problem Deriving generalization bounds for noisy stochastic gradient descent.
method Unified approach using Lyapunov functions and applied probability.
result Time-uniform stability bounds for SGD on various loss functions.

Enhanced Bruhat decomposition studies Morse theory and Reidemeister torsion.

problem Investigating the Bruhat numbers associated with Morse functions.
method Using a variation of the classical Bruhat decomposition for GL(F)GL(\mathbb{F}).
result The product of Bruhat numbers is independent of the Morse function and interpretable as Reidemeister torsion.

We survey aspects of classical combinatorial sutured manifold theory and show how they can be adapted to study exceptional Dehn fillings and 2-handle additions. As a consequence we show that if a hyperbolic knot ββ in a compact, orientable, hyperbolic 3-manifold MM has the property that winding number and wrapping nu…

2013-05-07abs ↗pdf ↗

We construct the infinite sequence of invariants for curves in surfaces by using word theory that V. Turaev introduced. For plane closed curves, we add some extra terms, e.g. the rotation number. From these modified invariants, we get the Arnold's basic invariants and some other invariants. We also express how these in…

2007-05-03abs ↗pdf ↗

The paper develops a theory of skein adequate links in thickened surfaces and proves Tait conjectures.

problem Establishing Tait conjectures for adequate links in thickened surfaces.
method Applying Kauffman bracket skein algebras to develop a theory of skein adequate links and proving Tait conjectures.
result The crossing number is additive under connected sum for adequate links in thickened surfaces.

We formulate a 4-dimensional higher gauge theoretic Chern-Simons theory. Its symmetry is encoded in a semistrict Lie 2-algebra equipped with an invariant non singular bilinear form. We analyze the gauge invariance of the theory and show that action is invariant under a higher gauge transformation up to a higher winding…

2014-06-09abs ↗pdf ↗

New knots found with Seifert genus not matching minimal genus Seifert surfaces.

problem Discrepancy between Seifert genus and minimal genus Seifert surfaces.
method Constructed knots with specific genus and handle numbers to demonstrate the discrepancy.
result Found knots where Seifert genus is not realized by minimal genus Seifert surfaces.

Gradient descent can efficiently learn a target function with diverse and near-orthogonal features.

problem Learning a target function with additive structure and diverse features.
method Gradient descent training of a two-layer neural network.
result A large subset of polynomial target functions can be efficiently learned.

The main goal of the present paper is to construct new invariants of knots with additional structure by adding new gradings to the Khovanov complex. The ideas given below work in the case of virtual knots, closed braids and some other cases of knots with additional structure. The source of our additional grading may be…

2007-10-19abs ↗pdf ↗

Kolmogorov-Arnold Networks achieve optimal convergence rates in nonparametric regression.

problem Nonparametric function approximation in multivariate settings.
method Structured additive and multiplicative KANs using B-splines.
result Achieve minimax-optimal convergence rate O(n2r/(2r+1))O(n^{-2r/(2r+1)}) for Sobolev space functions.

This work improves the convergence theory of diffusion models for generating samples from complex distributions.

problem Improving theoretical understanding of diffusion models, particularly their convergence analysis.
method Developed an instance-dependent convergence rate that adapts to the smoothness of target distributions.
result Established an iteration complexity of min{d,d2/3L1/3,d1/3L}ε2/3\min\{d,d^{2/3}L^{1/3},d^{1/3}L\}\varepsilon^{-2/3} for generating high-quality samples.

A knot is an a-small knot if its exterior does not contain closed incompressible surfaces disjoint from some incompressible Seifert surface for the knot. Using circular thin position for knots we prove that the handle number is additive under the connected sum of two a-small knots. As a consequence the Morse-Novikov nu…

2011-09-21abs ↗pdf ↗

We study the existence of D-brane bound states at threshold in Type II string theories. In a number of situations, we can reduce the question of existence to quadrature, and the study of a particular limit of the propagator for the system of D-branes. This involves a derivation of an index theorem for a family of non-F…

1997-05-08abs ↗pdf ↗

The paper improves robust optimization by introducing margin theory.

problem Improving the reliability of solutions in high-dimensional robust optimization.
method Introducing margin theory to improve sample complexity and reliability of solutions.
result The sample complexity of a class of random programs does not depend on the number of variables.

We consider the problem of rational decision making in the presence of nonlinear constraints. By using tools borrowed from spin glass and random matrix theory, we focus on the portfolio optimisation problem. We show that the number of ``optimal'' solutions is generically exponentially large: rationality is thus de fact…

1998-01-21abs ↗pdf ↗

Let pp be a prime number. We develop a theory of pp-adic Mahler measure of polynomials and apply it to the study of Z\mathbb{Z}-covers of rational homology 3-spheres branched over links. We obtain a pp-adic analogue of the asymptotic formula of the torsion homology growth and a balance formula among the leading coe…

2017-02-13abs ↗pdf ↗

We use Nathanson's gg-adic representation of integers to relate metric properties of Cayley graphs of the integers with respect to various infinite generating sets SS to problems in additive number theory. If SS consists of all powers of a fixed integer gg, we find explicit formulas for the smallest positive intege…

2017-11-02abs ↗pdf ↗

We define two new families of invariants for (3-manifold, graph) pairs which detect the unknot and are additive under connected sum of pairs and (-1/2)-additive under trivalent vertex sum of pairs. The first of these families is closely related to both bridge number and tunnel number. The second of these families is a …

2016-06-10abs ↗pdf ↗

It is proven here that if the connected sum of two tunnel number one knots in the 3-sphere is a tunnel number two knot, then at least one of the summand knots has a genus two Heegaard splitting with a meridian as a primitive element. Hence this is a necessary and sufficient condition for tunnel number one knots to have…

1999-06-10abs ↗pdf ↗

Develops a framework for analyzing neural networks and ODE models using control theory.

problem Analyzing deep neural networks and neural ODE models trained with stochastic gradient algorithms.
method Identifies connections between control theory, deep learning, and statistical sampling; derives Pontryagin's optimality principle and Mean-Field Langevin dynamics.
result Derives explicit convergence rates and provides quantitive bounds on generalization error, showing dimension-independent rates.

In this paper we investigate discrete time trading under integer constraints, that is, we assume that the offered goods or shares are traded in integer quantities instead of the usual real quantity assumption. For finite probability spaces and rational asset prices this has little effect on the core of the theory of no…

2017-08-25abs ↗pdf ↗