366,104 research outputs found
Strong-viscosity Solutions: Semilinear Parabolic PDEs and Path-dependent PDEs
The aim of the present work is the introduction of a viscosity type solution,
called strong-viscosity solution to distinguish it from the classical one, with
the following peculiarities: it is a purely analytic object; it can be easily
adapted to more general equations than classical partial differential
equations. First, we introduce the notion of strong-viscosity solution for
semilinear parabolic partial differential equations, defining it, in a few
words, as the pointwise limit of classical solutions to perturbed semilinear
parabolic partial differential equations; we compare it with the standard
definition of viscosity solution. Afterwards, we extend the concept of
strong-viscosity solution to the case of semilinear parabolic path-dependent
partial differential equations, providing an existence and uniqueness result.Comment: arXiv admin note: text overlap with arXiv:1401.503
A regularization approach to functional It\^o calculus and strong-viscosity solutions to path-dependent PDEs
First, we revisit functional It\^o/path-dependent calculus started by B.
Dupire, R. Cont and D.-A. Fourni\'e, using the formulation of calculus via
regularization. Relations with the corresponding Banach space valued calculus
introduced by C. Di Girolami and the second named author are explored. The
second part of the paper is devoted to the study of the Kolmogorov type
equation associated with the so called window Brownian motion, called
path-dependent heat equation, for which well-posedness at the level of
classical solutions is established. Then, a notion of strong approximating
solution, called strong-viscosity solution, is introduced which is supposed to
be a substitution tool to the viscosity solution. For that kind of solution, we
also prove existence and uniqueness. The notion of strong-viscosity solution
motivates the last part of the paper which is devoted to explore this new
concept of solution for general semilinear PDEs in the finite dimensional case.
We prove an equivalence result between the classical viscosity solution and the
new one. The definition of strong-viscosity solution for semilinear PDEs is
inspired by the notion of "good" solution, and it is based again on an
approximating procedure
On the vanishing viscosity limit in a disk
We say that the solution u to the Navier-Stokes equations converges to a
solution v to the Euler equations in the vanishing viscosity limit if u
converges to v in the energy norm uniformly over a finite time interval.
Working specifically in the unit disk, we show that a necessary and sufficient
condition for the vanishing viscosity limit to hold is the vanishing with the
viscosity of the time-space average of the energy of u in a boundary layer of
width proportional to the viscosity due to modes (eigenfunctions of the Stokes
operator) whose frequencies in the radial or the tangential direction lie
between L and M. Here, L must be of order less than 1/(viscosity) and M must be
of order greater than 1/(viscosity)
On backward stochastic differential equations and strict local martingales
We study a backward stochastic differential equation whose terminal condition
is an integrable function of a local martingale and generator has bounded
growth in . When the local martingale is a strict local martingale, the BSDE
admits at least two different solutions. Other than a solution whose first
component is of class D, there exists another solution whose first component is
not of class D and strictly dominates the class D solution. Both solutions are
integrable for any . These two different BSDE solutions
generate different viscosity solutions to the associated quasi-linear partial
differential equation. On the contrary, when a Lyapunov function exists, the
local martingale is a martingale and the quasi-linear equation admits a unique
viscosity solution of at most linear growth.Comment: Keywords: Backward stochastic differential equation, strict local
martingale, viscosity solution, comparison theore
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