Viscosity Solutions of Fully Nonlinear Equations

Abstract

The eight publications produced by the project established a number of basic results in the theory of viscosity solutions of fully nonlinear differential equations of first and second order in finite and infinite dimensions. These equations arise in the dynamic programming theory of control and differential games (the finite dimensional theory for ode and the infinite dimensional theory for pde dynamics). Being fully nonlinear, the equations do not typically admit regular or classical solutions, and the appropriate notion is that of viscosity solutions. Two major advances in the first order infinite dimensional case consisted of determining the precise notion appropriate to a class of infinite dimensional problems with unbounded terms arising from the pde dynamics, and the examination of a limit case in which the value function is not a solution, but the maximal subsolution. Significant contributions to the second order theory include a new exposition of the finite dimensional theory based on results from previous funding, an infinite dimensional generalization of the foundational result used in this exposition, and the extension of the theory to second order equations in infinite dimensions with unbounded first order terms.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 04, 1994
Accession Number
ADA281725

Entities

People

  • Michael G. Crandall

Organizations

  • University of California, Santa Barbara

Tags

DTIC Thesaurus Topics

  • Availability
  • Differential Equations
  • Dynamic Programming
  • Dynamics
  • Equations
  • Formulas (Mathematics)
  • Functional Analysis
  • Hilbert Space
  • Integral Equations
  • Military Research
  • New York
  • Nonlinear Analysis
  • Nonlinear Differential Equations
  • Partial Differential Equations
  • Personal Information Managers
  • Scientists
  • Students

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Graph Algorithms and Convex Optimization.