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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.

169,051 papers · 148 categories

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48 results for parabolic differential equation

Study finds conservation laws for a specific class of parabolic equations.

problem Existence and structure of conservation laws for evolutionary scalar second-order differential equations.
method Calculation of linearized characteristic cohomology to find conservation laws, showing dependence on second derivatives.
result Only Monge-Ampère type equations have non-trivial conservation laws.

Sharp Lipschitz bounds and gradient estimates for fully nonlinear parabolic equations.

problem Understanding moduli of continuity for fully nonlinear parabolic equations.
method Proving moduli of continuity of viscosity solutions are subsolutions of one-dimensional parabolic equations.
result Sharp Lipschitz bounds and gradient estimates for fully nonlinear parabolic equations with bounded initial data.

Maximal regularity for nonuniformly parabolic problems with normal degeneration.

problem Nonuniformly parabolic boundary value problems with degeneration in normal direction.
method Theory of linear parabolic differential equations on noncompact Riemannian manifolds.
result Optimal solution theory for natural degeneration case.

Let (M,g(t))(M,g(t)) be a solution to the Ricci flow on a closed Riemannian manifold. In this paper, we prove differential Harnack inequalities for positive solutions of nonlinear parabolic equations of the type $$\ppt f=Δf-f \ln f +Rf.$$ We also comment on an earlier result of the first author on positive solutions of the c…

2010-01-28abs ↗pdf ↗

Gradient estimates for a parabolic PDE under Ricci-Bourguignon flow on warped product manifolds.

problem Analyzing the Ricci-Bourguignon flow on warped product manifolds.
method Establishing gradient estimates for a parabolic partial differential equation.
result Gradient estimates for the parabolic PDE provide analytic input for geometric applications.

This survey paper is focused on qualitative and numerical analyses of fully nonlinear partial differential equations of parabolic type arising in financial mathematics. The main purpose is to review various non-linear extensions of the classical Black-Scholes theory for pricing financial instruments, as well as models …

2017-07-04abs ↗pdf ↗

We consider the Cauchy problem associated with a general parabolic partial differential equation in dd dimensions. We find a family of closed-form asymptotic approximations for the unique classical solution of this equation as well as rigorous short-time error estimates. Using a boot-strapping technique, we also provi…

2013-12-11abs ↗pdf ↗

The moving coframe method is applied to solve the local equivalence problem for the class of linear parabolic equations in two independent variables under an action of the pseudo-group of contact transformations. The structure equations and the complete sets of differential invariants for symmetry groups are found. The…

2003-04-29abs ↗pdf ↗

We prove a differential Harnack inequality for the solution of the parabolic Allen-Cahn equation ft=f(f3f) \frac{\partial f}{\partial t}=\triangle f-(f^3-f) on a closed n-dimensional manifold. As a corollary we find a classical Harnack inequality. We also formally compare the standing wave solution to a gradient estimate of M…

2015-11-01abs ↗pdf ↗

Paper quantifies neural operators' efficiency for solving nonlinear parabolic PDEs.

problem Quantifying the efficiency of neural operators for solving nonlinear parabolic PDEs.
method Deriving approximation rates by transferring PDEs to integral equations and leveraging Picard's iteration.
result Neural operators can efficiently approximate solution operators of nonlinear PDEs without exponential complexity growth.

Tensor trains simplify solving complex PDEs efficiently.

problem Solving high-dimensional parabolic PDEs using traditional methods is computationally infeasible.
method Reformulate PDEs as backward stochastic differential equations and use tensor train format for compression and efficient computation.
result Tensor train methods achieve a good balance between accuracy and computational efficiency.

The study classifies points on ruled surfaces in 4-space based on geometric properties.

problem Characterizing points on smooth ruled surfaces in 4-space.
method Contact with transverse planes, binary differential equations, and projective transformations.
result Parabolic points on ruled surfaces in 4-space can be classified as butterfly hyperbolic, parabolic, or elliptic based on the discriminant of a binary differential equation.

The goal of this paper is to classify parametrically parabolic submanifolds in any codimension. First, we describe the ones that are ruled and show that they are the only parabolic submanifolds that admit an isometric immersion as a hypersurface. Then, we classify the nonruled ones by two different means. In fact, we p…

2009-04-01abs ↗pdf ↗

Ansatze are constructed under which the solutions of 11D supergravity must be stationary points of a parabolic flow on a Riemannian manifold M10pM^{10-p}. This parabolic flow turns out to be the Ricci flow coupled to a scalar field, a (3p)(3-p)-form, and a 44-form. This allows the introduction of techniques from parabolic…

2018-06-02abs ↗pdf ↗

Quantum machine learning solves high-dimensional PDEs with lower variance and improved accuracy.

problem Approximating solutions to high-dimensional parabolic PDEs.
method Pure Variational Quantum Circuit (VQC) for BSDE approximation, using temporal discretization and Monte Carlo simulation.
result VQC achieves lower variance and improved accuracy in most cases, particularly in highly nonlinear regimes.

New method uses tensor trains for efficient PDE approximation.

problem High-dimensional PDEs and the curse of dimensionality.
method Tensor trains and backward stochastic differential equations for parabolic PDEs.
result Achieves a favorable trade-off between accuracy and computational efficiency.

Geometric equation defines canonical metrics on vector bundle families.

problem Finding canonical metrics on families of holomorphic vector bundles.
method Introducing a geometric partial differential equation for families of holomorphic vector bundles.
result Construction of Hermite--Einstein metrics in adiabatic classes on product manifolds and proof of the existence of a unique solution for the Dirichlet problem.

Abstract: Study of surface transitions and IDE inflections via contact geometry.

problem Understanding transitions on surfaces and implicit differential equations.
method Contact geometry and Legendrian properties of projections.
result List of unavoidable local phenomena on surfaces and IDE solutions.

Study solves optimal portfolio selection using HJB equation.

problem Optimal portfolio selection problem.
method Maximal monotone operator method, Banach fixed-point theorem, Fourier transform, monotone operators technique.
result Existence and uniqueness of solution to HJB equation.

Using results from our companion article [arXiv:1112.4824v2] on a Schauder approach to existence of solutions to a degenerate-parabolic partial differential equation, we solve three intertwined problems, motivated by probability theory and mathematical finance, concerning degenerate diffusion processes. We show that th…

2012-11-20abs ↗pdf ↗

Study of limiting configurations for SU(1,2) Hitchin equation solutions.

problem Analyzing the behavior of solutions to the Hitchin equation for SU(1,2) Higgs bundles.
method Gluing construction and analysis of spectral data, focusing on limiting configurations.
result The limiting behavior of solutions is described by a metric on a Hecke modification of VV singular at DD.

Deep learning model solves high-dimensional PDEs using Actor-Critic approach.

problem Solving high-dimensional nonlinear PDEs efficiently.
method Reformulated PDE into BSDE system, inspired by Actor-Critic algorithm for deep RL.
result Improved model with fewer parameters, faster convergence, and less hyperparameter tuning.

There was proposed the method of a factorization of PDE. The method is based on reduction of complicated systems to more easy ones (for example, due to dimension decrease). This concept is proposed in general case for the arbitrary PDE systems, and its concrete investigation is developing for the heat equation case. Th…

2001-08-01abs ↗pdf ↗

Some new results on geometry of classical parabolic Monge-Ampère equations (PMA) are presented. PMAs are either \emph{integrable}, or \emph{nonintegrable} according to integrability of its characteristic distribution. All integrable PMAs are locally equivalent to the equation uxx=0u_{xx}=0. We study nonintegrable PMAs by …

2008-11-24abs ↗pdf ↗

Unified approach combining BSDEs and PINNs for solving PDEs.

problem Solving high-dimensional partial differential equations.
method Interpolating between BSDEs and PINNs using diffusion loss.
result Unified understanding of numerical approaches for high-dimensional PDEs.

We present some applications of ideas from partial differential equations and differential geometry to the study of difference equations on infinite graphs. All operators that we consider are examples of "elliptic operators" as defined by Y. Colin de Verdiere. For such operators, we discuss analogs of inequalities of C…

2005-09-08abs ↗pdf ↗