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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.

168,657 papers · 148 categories

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59119178237 · May 202619922001200920172026
48 results for doubly nonlinear evolution equation

Proves existence of solutions for a specific nonlinear equation on Riemannian manifolds.

problem Existence of solutions for a doubly nonlinear evolution equation on Riemannian manifolds.
method Proves existence of weak solutions using the Leibenson equation.
result Proves the existence of a unique weak solution for any initial condition in L1(M)L(M)L^1(M) \cap L^\infty(M).

Sharp sub-Gaussian bounds for subsolutions of Trudinger's equation on Riemannian manifolds.

problem Bounding weak subsolutions of Trudinger's equation on Riemannian manifolds.
method Proving sub-Gaussian upper bounds for weak subsolutions.
result The upper bounds are sharp for specific classes of manifolds, including \(\mathbb{R}^{n}\).

Sharp upper bounds found for solutions of a specific equation on Riemannian manifolds.

problem Finding upper bounds for solutions of a specific equation on Riemannian manifolds.
method Proved sharp upper estimates of weak subsolutions to the Leibenson equation on Riemannian manifolds with non-negative Ricci curvature.
result Improved and proved a conjecture about upper bounds for solutions of the Leibenson equation.

FNOs learn solution operators of dissipative equations efficiently via spectral methods.

problem Learning and approximation of solution operators for dissipative equations.
method Introducing spectral methods and deriving FNO approximation bounds and sample complexity guarantees.
result Polynomial sample complexity guarantees for FNOs learning solution operators of dissipative equations.

Paper confirms Thom's conjecture for nonlinear evolutions on manifolds.

problem Thom's gradient conjecture for nonlinear evolution equations.
method Extending and settling the conjecture in infinite dimensional problems using Łojasiewicz, L. Simon, and Kurdyka-Mostowski-Parusinski's foundational works.
result Uniqueness of the limiting direction and characterization of convergence rates for both classical and infinite dimensional settings.

Bäcklund transformations for smooth and ``space discrete'' Hashimoto surfaces are discussed and a geometric interpretation is given. It is shown that the complex curvature of a discrete space curve evolves with the discrete nonlinear Schrödinger equation (NLSE) of Ablowitz and Ladik, when the curve evolves with the Has…

2000-07-25abs ↗pdf ↗

This is the second paper in a series of works devoted to nonholonomic Ricci flows. By imposing non-integrable (nonholonomic) constraints on the Ricci flows of Riemannian metrics we can model mutual transforms of generalized Finsler-Lagrange and Riemann geometries. We verify some assertions made in the first partner pap…

2007-02-21abs ↗pdf ↗

An efficient method to construct Hamiltonian structures for nonlinear evolution equations is described. It is based on the notions of variational Schouten bracket and l*-covering. The latter serves the role of the cotangent bundle in the category of nonlinear evolution PDEs. We first consider two illustrative examples …

2003-04-17abs ↗pdf ↗

Most known examples of doubly periodic minimal surfaces in R3\mathbb{R}^3 with parallel ends limit as a foliation of R3\mathbb{R}^3 by horizontal noded planes, with the location of the nodes satisfying a set of balance equations. Conversely, for each set of points providing a balanced configuration, there is a correspo…

2016-04-26abs ↗pdf ↗

Generalizes Hasimoto transformation to arbitrary flows on space curves.

problem Modeling and analyzing wave motions on space curves.
method Develops a mapping between curve evolution and scalar equations, transforming general vector fields in the Frenet frame.
result Binormal flows are generally length preserving but bending energy is fragile.

We propose a new cognitive framework for option price modelling, using quantum neural computation formalism. Briefly, when we apply a classical nonlinear neural-network learning to a linear quantum Schrödinger equation, as a result we get a nonlinear Schrödinger equation (NLS), performing as a quantum stochastic filter…

2009-03-04abs ↗pdf ↗

In this paper, we study the gradient estimates of Li-Yau-Hamilton type for positive solutions to both drifting heat equation and the simple nonlinear heat equation problem utΔu=aulogu,  u>0 u_t-Δu=au\log u, \ \ u>0 on the compact Riemannian manifold (M,g)(M,g) of dimension nn and with non-negative (Bakry-Emery)-Ricci curvature. Here…

2010-09-03abs ↗pdf ↗

Paper solves vortex equations on complex surfaces, linking to Higgs bundle stability.

problem Existence of solutions to doubly-coupled vortex equations on Riemann surfaces.
method Introduced doubly-coupled vortex equations and used Higgs bundle theory.
result Existence of solutions to vortex equations is equivalent to Higgs bundle stability.

In this paper, we study the gradient estimate for positive solutions to the following nonlinear heat equation problem utΔu=aulogu+Vu,  u>0 u_t-Δu=au\log u+Vu, \ \ u>0 on the compact Riemannian manifold (M,g)(M,g) of dimension nn and with non-negative Ricci curvature. Here a0a\leq 0 is a constant, VV is a smooth function on MM with $-…

2010-09-03abs ↗pdf ↗

Paper presents a novel method to assess boundedness and stability of nonlinear systems with variable delays.

problem Challenges in assessing boundedness and stability of vector nonlinear systems with variable delays and coefficients.
method Develops a novel framework to evaluate the evolution of solution norms in such systems by constructing scalar counterparts.
result Introduces new criteria for boundedness and stability and estimates the radii of containing balls for history functions.

The paper develops methods for causal inference from single-cell RNA sequencing data with multiple outcomes.

problem Causal inference from single-cell RNA sequencing data with multiple heterogeneous outcomes.
method Generic semiparametric inference framework for doubly robust estimation with multiple derived outcomes.
result Demonstrates the use of semiparametric inferential results for estimating causal effects in genomics.

We establish the estimates of modulus of continuity for viscosity solutions of nonlinear evolution equations on manifolds, extending previous work of B. Andrews and J. Clutterbuck for regular solutions on manifolds \cite{AC3} and the first author's recent work for viscosity solutions in Euclidean spaces \cite{me1}.

2015-11-06abs ↗pdf ↗

New algorithm optimizes nonlinear SDEs online with convergence guarantees.

problem Optimizing nonlinear stochastic differential equations (SDEs) is computationally challenging.
method Forward propagation algorithm that solves an SDE derived using forward differentiation.
result Convergence theorem for nonlinear dissipative SDEs with bounds on stochastic fluctuations.

The paper proves an inequality and describes a curve flow in centro-affine geometry.

problem Proving the isoperimetric inequality in centro-affine plane geometry.
method Investigating a curve flow with centro-affine curvature, expressed as a nonlinear parabolic equation.
result Closed convex curves may converge to ellipses under the described flow.

Geometric analysis of nonlinear dynamics applied to financial time series.

problem Understanding dynamic properties of financial time series.
method Nonparametric filtering method to estimate vector fields and their derivatives from nonlinear oscillation models.
result Vector fields and their derivatives provide insights into the dynamic properties of financial time series.

Study curves evolving on hypersurfaces with free boundaries, preserving length.

problem Evolution of curves on hypersurfaces with free boundaries.
method Nonlocal evolution equation with nonlinear boundary conditions, short-time existence, uniqueness, and parabolic energy estimates.
result Global existence and convergence to critical points proved.

We briefly review results on nonlinear kinetic equation of Boltzmann type which describe the evolution of wealth in a simple agents market. The mathematical structure of the underlying kinetic equations allows to use well-known techniques of wide use in kinetic theory of rarefied gases to obtain information on the proc…

2010-05-27abs ↗pdf ↗

We prove that conservation of probability for the free heat semigroup on a Riemannian manifold MM (namely stochastic completeness), hence a linear property, is equivalent to uniqueness of positive, bounded solutions to nonlinear evolution equations of fast diffusion type on MM of the form ut=Δφ(u)u_t=Δφ(u), φφ being an ar…

2018-06-08abs ↗pdf ↗

New equations describe surfaces with constant curvature.

problem Characterizing and classifying third-order evolution systems for pseudospherical and spherical surfaces.
method Integrability conditions of g\mathfrak{g}-valued linear problems, with g=sl(2,R)\mathfrak{g}=\mathfrak{sl}(2,\R) or g=su(2)\mathfrak{g}=\mathfrak{su}(2).
result Characterization and classification of systems, including new families of coupled KdV and mKdV-type equations.

We present two approaches to the heat flow on a Finsler manifold (M,F)(M,F): either as gradient flow on L2(M,m)L^2(M,m) for the energy; or as gradient flow on the reverse L2L^2-Wasserstein space P2(M)\mathcal{P}_2(M) of probability measures on MM for the relative entropy. Both approaches depend on the choice of a measure mm on …

2008-08-08abs ↗pdf ↗

Enhances DGPs with adaptive RKHS Fourier features for better non-stationary pattern modeling.

problem Capturing complex non-stationary patterns in non-linear dynamical systems.
method Integrates ODE-based RKHS Fourier features into DGPs using convolution operations for adaptive amplitude and phase modulation. Uses a doubly stochastic variational inference framework.
result Improved predictive performance across various regression tasks.

Letter analyzes training dynamics of a nonlinear contrastive learning model in high dimensions.

problem Understanding training dynamics of nonlinear contrastive learning models in high-dimensional settings.
method High-dimensional analysis using McKean-Vlasov PDEs and low-dimensional ODEs.
result The model's performance evolves according to specific ODEs, revealing features like feature learnability and noise effects.

Global solutions found for certain reaction-diffusion equations on specific manifolds.

problem Understanding reaction-diffusion equations on various manifolds.
method Analyzing the bottom of the L2L^2 spectrum of Δ and using time-independent nonlinearities.
result Global existence of solutions for certain power nonlinearities on specific manifolds.

Study spherical doubly warped spacetimes for stellar collapse and cosmology.

problem Analyzing spherically symmetric spacetimes for stellar collapse and cosmology.
method Obtained results for Weyl and Ricci tensors on general doubly warped spacetimes.
result Friedmann equations deviate from standard FRW cosmology due to electric tensor terms.

We initiate the study of a new nonlinear parabolic equation on a Riemann surface. The evolution equation arises as a reduction of the Anomaly flow on a fibration. We obtain a criterion for long-time existence for this flow, and give a range of initial data where a singularity forms in finite time, as well as a range of…

2017-11-22abs ↗pdf ↗

WeldNet reduces complex dynamics to simpler, manageable segments.

problem Complex, high-dimensional time-dependent datasets from physical processes are costly to simulate.
method Windowed Encoders for Learning Dynamics, splitting time domain into windows for nonlinear dimension reduction and propagator training.
result WeldNet captures nonlinear latent structures and dynamics, outperforming existing methods.

Learning nonlinear dynamics from aggregate data is a challenging problem because the full trajectory of each individual is not available, namely, the individual observed at one time may not be observed at the next time point, or the identity of individual is unavailable. This is in sharp contrast to learning dynamics w…

2020-02-10abs ↗pdf ↗

In a number of physically important cases, the nonholonomically (nonintegrable) constrained Ricci flows can be modelled by exact solutions of Einstein equations with nonhomogeneous (anisotropic) cosmological constants. We develop two geometric methods for constructing such solutions: The first approach applies the form…

2007-05-05abs ↗pdf ↗