Published September 22, 2011 | Version v1
Journal article

Real-Valued Semigroups and (Causal) Diffusion

  • 1. Department of Mathematics, University of Innsbruck, Technikerstrasse 21a/2, A-6020, Innsbruck (Austria)

Description

It can be shown that a process modeled by a strongly continuous real-valued semigroup (that has a space convolution operator as infinitesimal generator) cannot satisfy causality. By causality we mean that a characteristic feature of a process like an interface or a front must propagate with a finite speed. We present and discuss a causal model of diffusion that satisfies the semigroup property at a discrete set of time instants M:={mτ|m is an element of N0} and that in contrast to the classical diffusion model is not smooth. More precisely, if v denotes the concentration of a substance diffusing with constant speed, then v is continuous but its time derivative is discontinuous at the discrete set M of time instants. It is this property of (causal) diffusion that forbids the classical limit procedure τ→0 that leads to the noncausal diffusion model in Stochastics. Finally, we give two explanations why in some cases the discretization of the noncausal diffusion model can be considered as an approximation of the causal diffusion model. In particular, we present an inhomogeneous wave equation with a time dependent coefficient that is satisfied by causal diffusion.

Additional details

Identifiers

Publishing Information

Journal Title
AIP Conference Proceedings
Journal Volume
1389
Journal Issue
1
Journal Page Range
p. 886-888
ISSN
0094-243X
CODEN
APCPCS

Conference

Title
Conference on numerical analysis and applied mathematics
Acronym
ICNAAM 2011
Dates
19-25 Sep 2011
Place
Halkidiki (Greece)

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
43090270
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
APPROXIMATIONS; CAUSALITY; DIFFUSION; IMAGE PROCESSING; MATHEMATICAL OPERATORS; STOCHASTIC PROCESSES; TIME DEPENDENCE; VELOCITY; WAVE EQUATIONS
Descriptors DEC
CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; PROCESSING

Optional Information

Notes
(c) 2011 American Institute of Physics