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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.

169,341 papers · 148 categories

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56111167222 · May 202619922001200920182026
48 results for nonlinear evolution equations

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).

Estimates moduli of continuity for viscosity solutions on manifolds.

problem Estimating moduli of continuity for viscosity solutions on manifolds.
method Extending previous work on regular solutions and viscosity solutions in Euclidean spaces.
result Established estimates of modulus of continuity for viscosity solutions of nonlinear evolution equations on manifolds.

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.

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 ↗

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 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.

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 ↗

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 \(\mathbb{R}^{n}\).

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 ↗

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.

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.

The paper links stochastic completeness to uniqueness and nonexistence in fast diffusion equations on manifolds.

problem Uniqueness and nonexistence of bounded solutions in fast diffusion equations.
method Equivalence of stochastic completeness to uniqueness of solutions to nonlinear evolution equations and nonexistence of bounded solutions to elliptic equations.
result Explicit criteria for uniqueness and nonexistence of bounded solutions to fast diffusion equations on manifolds.

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 ↗

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.

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.

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 ↗

An equation for the evolution of the distribution of wealth in a population of economic agents making binary transactions with a constant total amount of "money" has recently been proposed by one of us (RLR). This equation takes the form of an iterated nonlinear map of the distribution of wealth. The equilibrium distri…

2014-07-28abs ↗pdf ↗

The paper studies curve evolution using the PLR equation and its solutions.

problem Investigating the evolution of space curves governed by the PLR equation.
method Examined the Lund-Regge evolution and derived its representation in the Frenet frame, aligning with the Lax system of the PLR equation. Developed a construction method for curve families via the Sym formula.
result Described the Lund-Regge evolution corresponding to Date multi-soliton solutions to the PLR equation.

New complex structures on jet spaces help explain Fock space dynamics.

problem Understanding dynamics of Fock spaces from variational principles.
method Endowing jet spaces with almost-complex structures, integrating to canonical complex structures, and analyzing Fock spaces.
result Holomorphic approximation explains dynamics of Fock spaces from variational principles.

Characterizes symplectic and variational operators for scalar evolution equations.

problem Understanding the cohomology spaces and operators for scalar evolution equations.
method Analyzes cohomology spaces and uses isomorphisms to characterize operators.
result Cohomology spaces and operator spaces are isomorphic for certain scalar evolution equations.

We formulate the fractional Ricci flow theory for (pseudo) Riemannian geometries enabled with nonholonomic distributions defining fractional integro-differential structures, for non-integer dimensions. There are constructed fractional analogs of Perelman's functionals and derived the corresponding fractional evolution …

2010-04-05abs ↗pdf ↗

Study proves future stability of perturbed Milne model in Einstein-Klein-Gordon system.

problem Stability of perturbed Milne model in Einstein-Klein-Gordon system.
method Worked within CMC gauge, focused on 1+3 splitting of Bianchi-Klein-Gordon equations, established energy scheme.
result Proved nonlinear future stability of perturbed spacetimes.

Develops interpretable model for latent stochastic systems from noisy data.

problem Learning interpretable models of latent stochastic dynamical systems from noisy data.
method Semi-parametric model using Gaussian process for drift, inference of latent paths with sparse variational description.
result Flexible nonparametric model of dynamics with interpretable portraits.

GD-VAEs learn dynamics from observations using geometric and topological information.

problem Learning parsimonious representations of nonlinear dynamics from observations.
method Develops data-driven methods incorporating geometric and topological information using Variational Autoencoders (VAEs).
result GD-VAEs provide methods for learning reduced dimensional representations of nonlinear dynamics.

We consider the structure functions S^(q)(T), i.e. the moments of order q of the increments X(t+T)-X(t) of the Foreign Exchange rate X(t) which give clear evidence of scaling (S^(q)(T)~T^z(q)). We demonstrate that the nonlinearity of the observed scaling exponent z(q) is incompatible with monofractal additive stochasti…

2001-02-21abs ↗pdf ↗