Results 21 to 30 of about 14,089 (117)

Exotic heat PDE's [PDF]

open access: yes, 2010
Exotic heat equations that allow to prove the Poincar\'e conjecture, some related problems and suitable generalizations too are considered. The methodology used is the PDE's algebraic topology, introduced by A.
Prástaro, Agostino
core   +1 more source

A priori estimates and large population limits for some nonsymmetric Nash systems with semimonotonicity

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
Abstract We address the problem of regularity of solutions ui(t,x1,…,xN)$u^i(t, x^1, \ldots, x^N)$ to a family of semilinear parabolic systems of N$N$ equations, which describe closed‐loop equilibria of some N$N$‐player differential games with Lagrangian having quadratic behaviour in the velocity variable, running costs fi(x)$f^i(x)$ and final costs gi(
Marco Cirant, Davide Francesco Redaelli
wiley   +1 more source

Randomly sparsified Richardson iteration: A dimension‐independent sparse linear solver

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
Abstract Recently, a class of algorithms combining classical fixed‐point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eigenproblems with matrices as large as 10108×10108$10^{108} \times 10^{108}$. So far, a complete mathematical explanation for this success has proven elusive.
Jonathan Weare, Robert J. Webber
wiley   +1 more source

Global and microlocal aspects of Dirac operators: Propagators and Hadamard states

open access: yesMathematische Nachrichten, EarlyView.
Abstract We propose a geometric approach to construct the Cauchy evolution operator for the Lorentzian Dirac operator on Cauchy‐compact globally hyperbolic 4‐manifolds. We realize the Cauchy evolution operator as the sum of two invariantly defined oscillatory integrals—the positive and negative Dirac propagators—global in space and in time, with ...
Matteo Capoferri, Simone Murro
wiley   +1 more source

Quasilinear Degenerate Evolution Systems Modelling Biofilm Growth: Well‐Posedness and Qualitative Properties

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We analyze nonlinear degenerate coupled partial differential equation (PDE)‐PDE and PDE‐ordinary differential equation (ODE) systems that arise, for example, in the modelling of biofilm growth. One of the equations, describing the evolution of a biomass density, exhibits degenerate and singular diffusion.
K. Mitra, S. Sonner
wiley   +1 more source

A Variational Formulation of European Option Prices in the 1‐Hypergeometric Stochastic Volatility Model

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT The paper proposes a variational analysis of the 1‐hypergeometric stochastic volatility model for pricing European options. The methodology involves the derivation of estimates of the weak solution in a weighted Sobolev space. The weight is closely related to the stochastic volatility dynamic of the model.
José Da Fonseca, Wenjun Zhang
wiley   +1 more source

BSDEs with terminal conditions that have bounded Malliavin derivative

open access: yes, 2013
We show existence and uniqueness of solutions to BSDEs of the form $$ Y_t = \xi + \int_t^T f(s,Y_s,Z_s)ds - \int_t^T Z_s dW_s$$ in the case where the terminal condition $\xi$ has bounded Malliavin derivative.
Cheridito, Patrick, Nam, Kihun
core   +1 more source

Optimal Adaptive Reinforcement Learning Control for a Convection‐Reaction Distributed Parameter System

open access: yesOptimal Control Applications and Methods, EarlyView.
Optimal adaptive reinforcement learning control using an actor‐critic architecture. The controller learns optimal control policies online from data measured along the trajectories of a plug flow system ABSTRACT This article is devoted to optimal adaptive control for a distributed parameter convection‐reaction system by reinforcement learning (RL ...
Abdellaziz Binid, Ilyasse Aksikas
wiley   +1 more source

A Physics‐Informed Learning Framework to Solve the Infinite‐Horizon Optimal Control Problem

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT We propose a physics‐informed neural networks (PINNs) framework to solve the infinite‐horizon optimal control problem of nonlinear systems. In particular, since PINNs are generally able to solve a class of partial differential equations (PDEs), they can be employed to learn the value function of the infinite‐horizon optimal control problem via
Filippos Fotiadis   +1 more
wiley   +1 more source

Fractional Cauchy problems on bounded domains

open access: yes, 2008
Fractional Cauchy problems replace the usual first-order time derivative by a fractional derivative. This paper develops classical solutions and stochastic analogues for fractional Cauchy problems in a bounded domain $D\subset\mathbb{R}^d$ with Dirichlet
Meerschaert, Mark M.   +2 more
core   +4 more sources

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