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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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165329494658 · Jun 202019922001200920172026
48 results for Lagrangian oscillatory functions

The study improves norms of spectral projectors on specific surfaces.

problem Improving the L2oLL^2 o L^{\infty} norm of spectral projectors on certain surfaces.
method Quantum Integrability, joint basis of eigenfunctions, Lagrangian oscillatory functions, caustics, BKW decay.
result Polynomial improvement on the L2oLL^2 o L^{\infty} norm for generic simple spheres of revolution and the Euclidean disk.

Study oscillatory integrals with degenerate singular points in multivariable phase functions.

problem Analyzing oscillatory integrals with degenerate singular points in phase functions.
method Using asymptotic expansions and results from one variable, the study examines multivariable phase functions.
result Asymptotic expansions of oscillatory integrals for multivariable phase functions with degenerate singular points.

The paper calculates asymptotic expansions for specific types of oscillatory integrals.

problem Analyzing oscillatory integrals with complex phase functions.
method Using asymptotic expansions of simpler phase functions to derive results for more complex cases.
result Explicit computation of coefficients in asymptotic expansions for certain integrals.

Improved bounds for Carleson-Sjölin operators on manifolds with specific curvature conditions.

problem Bounding Carleson-Sjölin operators on manifolds with special curvature conditions.
method Two different methods: one using distance function conditions and the other using contact orders of oscillatory integral operators.
result Improved LpL^p bounds for Carleson-Sjölin operators on manifolds with constant sectional curvature and those satisfying Sogge's chaotic curvature condition.

Global propagator for massless Dirac operator defined and analyzed.

problem Analyzing the massless Dirac operator on 3-manifolds.
method Constructing propagator as sum of oscillatory integrals, providing global definitions and small time expansions.
result Explicit calculation of propagators' symbols and coefficients in eigenvalue counting functions.

Study shows global oscillatory solutions for Yang-Mills heat flow in 4D space.

problem Investigating long-time dynamics of Yang-Mills heat flow with specific initial data.
method Analysis of SO(4)SO(4)-equivariant Yang-Mills heat flow with SU(2)SU(2) group in 4D space.
result Global solutions can exhibit oscillatory behavior at time infinity.

In his seminal paper, A. N. Varchenko precisely investigates the leading term of the asymptotic expansion of an oscillatory integral with real analytic phase. He expresses the order of this term by means of the geometry of the Newton polyhedron of the phase. The purpose of this paper is to generalize and improve his re…

2014-06-17abs ↗pdf ↗

Sparse regression models CMs from oscillatory shear data efficiently.

problem Discovering parsimonious constitutive models from oscillatory shear experiments.
method Sparse regression with tensor basis functions, l1 regularization, and greedy two-stage algorithm.
result Inferred CMs extrapolate well beyond training data and flow conditions.

We give a new proof of Witten asymptotic conjecture for Seifert manifolds with non vanishing Euler class and one exceptional fiber. Our method is based on semiclassical analysis on a two dimensional phase space torus. We prove that the Witten-Reshetikhin-Turaev invariant of a Seifert manifold is the scalar product of t…

2016-05-13abs ↗pdf ↗

Geometric approach to Dirac operator evolution on spacetimes.

problem Constructing the Cauchy evolution operator for Lorentzian Dirac operators.
method Realizing the operator as a sum of oscillatory integrals, relating to Feynman propagator.
result Relating Cauchy evolution operators to Feynman propagators and constructing Hadamard states.

This paper extends depth separation results to piece-wise oscillatory functions.

problem Approximating functions with piece-wise oscillatory structure using neural networks.
method Extends existing results to piece-wise oscillatory functions using proof strategy from (Eldan and Shamir, 2016).
result Approximation by one-hidden-layer networks holds at a poly(d) rate for functions with constant domain radius and oscillation rate.

D-LinOSS models learn to dissipate energy, improving performance on long-range tasks.

problem Representational limitations of LinOSS models in long-range reasoning.
method Introducing Damped Linear Oscillatory State-Space models (D-LinOSS) that learn to dissipate latent state energy on arbitrary time scales.
result D-LinOSS consistently outperforms previous LinOSS methods on long-range learning tasks, achieving faster convergence and reducing hyperparameter search space.

Study analyzes low-energy behavior of Schrödinger operators with Coulomb potentials.

problem Analyzing the limiting resolvent of Schrödinger operators at low energies.
method Using Vasy's second microlocal approach (Lagrangian approach), uniformly analyzing the resolvent from E=0E=0.
result Obtained oscillatory asymptotics for the resolvent output at low energy, differing from short-range cases.

Financial market dynamics is rigorously studied via the exact generalized Langevin equation. Assuming market Brownian self-similarity, the market return rate memory and autocorrelation functions are derived, which exhibit an oscillatory-decaying behavior with a long-time tail, similar to empirical observations. Individ…

2010-10-11abs ↗pdf ↗

New Hida-Matérn kernels enable flexible process priors and efficient GP inference.

problem Flexible modeling of stationary processes with oscillatory components.
method Introducing a new class of covariance functions (Hida-Matérn kernels) and their state space representations.
result Efficient Gaussian Process inference and improved numerical stability.

Study measures inequality in social-economic systems using Fokker-Planck equations and Lotka-Volterra dynamics.

problem Measuring inequality in oscillatory social-economic systems described by Fokker-Planck equations and Lotka-Volterra dynamics.
method Used Fokker-Planck equations and Lotka-Volterra dynamics to model inequality, focusing on coefficient of variation as a measure.
result Inequality initially tends to decrease in oscillatory systems, contrary to steady-state models.

Interpretable machine-learning models can be unstable under multicollinearity, leading to oscillatory weights that do not reflect meaningful contributions.

problem Interpretable machine-learning models can be unstable under multicollinearity.
method Theoretical analysis of eigenmodes of the feature correlation matrix.
result Small-eigenvalue modes associated with multicollinearity amplify fluctuations in the weights and generate oscillatory patterns that do not necessarily reflect meaningful contributions.

We show that accelerated gradient descent, averaged gradient descent and the heavy-ball method for non-strongly-convex problems may be reformulated as constant parameter second-order difference equation algorithms, where stability of the system is equivalent to convergence at rate O(1/n 2), where n is the number of ite…

2015-04-07abs ↗pdf ↗

Develops a new model to predict training dynamics of large language models.

problem Lack of mechanistic understanding of training dynamics in large language models.
method A first-principles reduced-order model of training dynamics, predicting group-size invariance and stability thresholds.
result Closed-form model predicts training dynamics with high accuracy and provides new diagnostics.

We show that finite-width deep ReLU neural networks yield rate-distortion optimal approximation (Bölcskei et al., 2018) of polynomials, windowed sinusoidal functions, one-dimensional oscillatory textures, and the Weierstrass function, a fractal function which is continuous but nowhere differentiable. Together with thei…

2018-06-05abs ↗pdf ↗

Empirical analysis serves as an important complement to theoretical analysis for studying practical Bayesian optimization. Often empirical insights expose strengths and weaknesses inaccessible to theoretical analysis. We define two metrics for comparing the performance of Bayesian optimization methods and propose a ran…

2016-03-31abs ↗pdf ↗

In this paper we study Lagrangian tori in CP2{\mathbb C}P^2. A two-dimensional periodic Schrödinger operator is associated with every Lagrangian torus in CP2{\mathbb C}P^2. We introduce an energy functional for tori as an integral of the potential of the Schrödinger operators, which has a natural geometrical meaning. We …

2017-01-25abs ↗pdf ↗

We introduce a structural approach to study Lagrangian submanifolds of the complex hyperquadric in arbitrary dimension by using its family of non-integrable almost product structures. In particular, we define local angle functions encoding the geometry of the Lagrangian submanifold at hand. We prove that these function…

2018-12-19abs ↗pdf ↗

This work is a contribution to the area of Strict Quantization (in the sense of Rieffel) in the presence of curvature and non-Abelian group actions. More precisely, we use geometry to obtain explicit oscillatory integral formulae for strongly invariant strict deformation quantizations of a class of solvable symplectic …

2000-10-01abs ↗pdf ↗

Introduces a variational framework for indefinite Lagrangians with specific symmetries.

problem Handling indefinite Lagrangians with complex symmetries.
method Develops a variational setting for an indefinite Lagrangian with a specific Noether charge.
result Validates the existence of a variational setting for a broad class of Lagrangians.

In some previous papers, a geometric description of Lagrangian Mechanics on Lie algebroids has been developed. In the present paper, we give a Hamiltonian description of Mechanics on Lie algebroids. In addition, we introduce the notion of a Lagrangian submanifold of a symplectic Lie algebroid and we prove that the Lagr…

2004-07-30abs ↗pdf ↗

Given a Lagrangian submanifold in a symplectic manifold and a Morse function on the submanifold, we show that there is an isotopic Morse function and a symplectic Lefschetz pencil on the manifold extending the Morse function to the whole manifold. From this construction we define a sequence of symplectic invariants cla…

2004-07-08abs ↗pdf ↗

Study Hamiltonian stationary Lagrangian surfaces in complex space forms.

problem Characterize Lagrangian surfaces with harmonic mean curvature in complex space forms.
method Analyze surfaces with constant and harmonic mean curvature, using second fundamental form parallelism and Gaussian curvature constancy.
result Complete classification of Lagrangian surfaces with harmonic mean curvature and constant Gaussian curvature.

Study Lagrangian submanifolds on complex hyperbolic quadric.

problem Characterize Lagrangian submanifolds of complex hyperbolic quadric.
method Use shape operators and local almost product structures to define angle functions and relate to spacelike hypersurface principal curvatures.
result Classify minimal Lagrangian submanifolds with parallel second fundamental form or constant induced sectional curvature.

Develops wavelet-based neural network approximation theory.

problem Analyzing neural network approximation capabilities over various activation functions.
method Wavelet frame theory on spaces of homogeneous type, sufficient conditions for approximation, error estimates.
result Derives sufficient conditions for neural networks to approximate any functions in a given space, including non-smooth activations.

We prove an estimate for spherical functions φλ(a)\varphi_λ(a) on SL(3,R)\mathrm{SL}(3,\mathbb{R}), establishing uniform decay in the spectral parameter λλ when the group parameter aa is restricted to a compact subset of the abelian subgroup A\mathrm{A}. In the case of SL(3,R)\mathrm{SL}(3,\mathbb{R}), it improves a result by J.…

2019-10-02abs ↗pdf ↗

Rough path theory is focused on capturing and making precise the interactions between highly oscillatory and non-linear systems. It draws on the analysis of LC Young and the geometric algebra of KT Chen. The concepts and the uniform estimates, have widespread application and have simplified proofs of basic questions fr…

2014-05-18abs ↗pdf ↗

The time evolution operator KK is introduced in the graded context and its main properties are discussed. In particular, the operator KK is used to analize the projectability of constraint functions arising in the Lagrangian formalism for singular Lagrangians.

2001-12-13abs ↗pdf ↗

Solutions near infinity to special Lagrangian equations are asymptotic to quadratic polynomials with logarithmic terms.

problem Solving special Lagrangian equations near infinity with specific conditions.
method Modified Kelvin transforms to characterize remainders in asymptotic expansions.
result Remainders in asymptotic expansions are characterized by a single smooth function in even dimensions and Cn1,αC^{n-1,α} in odd dimensions.