Published February 8, 2013 | Version v1
Journal article

Probabilistic methods for physics

Creators

  • 1. LSTA. Paris VI University (France)

Description

We present an asymptotic method giving a probability of presence of the iterated spots of Rd by a polynomial function f. We use the well-known Perron Frobenius operator (PF) that lets certain sets and measure invariant by f. Probabilistic solutions can exist for the deterministic iteration. If the theoretical result is already known, here we quantify these probabilities. This approach seems interesting to use for computing situations when the deterministic methods don't run. Among the examined applications, are asymptotic solutions of Lorenz, Navier-Stokes or Hamilton's equations. In this approach, linearity induces many difficult problems, all of whom we have not yet resolved.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/410/1/012082

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
410
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1742-6596

Conference

Title
International conference on mathematical modelling in physical sciences
Acronym
IC-MSQUARE 2012
Dates
3-7 Sep 2012
Place
Budapest (Hungary)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44069858
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ASYMPTOTIC SOLUTIONS; HAMILTON-JACOBI EQUATIONS; NAVIER-STOKES EQUATIONS; POLYNOMIALS; PROBABILISTIC ESTIMATION; PROBABILITY
Descriptors DEC
CALCULATION METHODS; DIFFERENTIAL EQUATIONS; EQUATIONS; FUNCTIONS; MATHEMATICAL SOLUTIONS; PARTIAL DIFFERENTIAL EQUATIONS