Published February 8, 2013
| Version v1
Journal article
Probabilistic methods for physics
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/10.1088/1742-6596/410/1/012082Additional details
Identifiers
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