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Determination of the Lyapunov exponents and the information dimension in some dynamical systems; Determination des exposants de Lyapunov et de la dimension de l`information dans quelques systemes dynamiques

Abstract

Classical phase space for some dynamical systems relevant in nuclear physics are studied. The nuclei is described by convex billiards or in the mean field theory. In both cases, besides the Poincare surface of sections which gives a qualitative description, each trajectory is characterized by its maximum Lyapunov exponent. The analytic monodromy matrix for a free particle in convex billiards rotating around an axis perpendicular to the plan of billiards, is determined, generalizing a previous result obtained for static billiards. In the frame of the mean field theory, it is shown an interesting alternative to the Lyapunov exponent, which is the dimension of the manifold in the phase space associated to the trajectory, leading to the evaluation of the relative chaotic volume in phase space as a function of the different parameters. The dimension appears as a character which could be determined easily for the rotating mean field, where the dimension of the manifold on which the trajectory is lying could be equal to 5 or 4 for chaotic trajectories, and less or equal to 3 for regular ones.
Authors:
Publication Date:
Jun 30, 1992
Product Type:
Thesis/Dissertation
Report Number:
ISN-92-58
Reference Number:
SCA: 663120; PA: AIX-25:012615; EDB-94:041029; ERA-19:010797; NTS-94:014250; SN: 94001153212
Resource Relation:
Other Information: TH: These (D. es Sc.).; PBD: 30 Jun 1992
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; DYNAMICS; LYAPUNOV METHOD; NUCLEAR PHYSICS; DIMENSIONS; HAMILTONIANS; INSTABILITY; MATHEMATICAL MANIFOLDS; 663120; NUCLEAR STRUCTURE MODELS AND METHODS
OSTI ID:
10127437
Research Organizations:
Grenoble-1 Univ., 38 (France). Inst. des Sciences Nucleaires; Grenoble-1 Univ., 38 (France)
Country of Origin:
France
Language:
French
Other Identifying Numbers:
Other: ON: DE94614715; TRN: FR9400048012615
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
FRN
Size:
106 p.
Announcement Date:
Jul 04, 2005

Citation Formats

Ziar, A. Determination of the Lyapunov exponents and the information dimension in some dynamical systems; Determination des exposants de Lyapunov et de la dimension de l`information dans quelques systemes dynamiques. France: N. p., 1992. Web.
Ziar, A. Determination of the Lyapunov exponents and the information dimension in some dynamical systems; Determination des exposants de Lyapunov et de la dimension de l`information dans quelques systemes dynamiques. France.
Ziar, A. 1992. "Determination of the Lyapunov exponents and the information dimension in some dynamical systems; Determination des exposants de Lyapunov et de la dimension de l`information dans quelques systemes dynamiques." France.
@misc{etde_10127437,
title = {Determination of the Lyapunov exponents and the information dimension in some dynamical systems; Determination des exposants de Lyapunov et de la dimension de l`information dans quelques systemes dynamiques}
author = {Ziar, A}
abstractNote = {Classical phase space for some dynamical systems relevant in nuclear physics are studied. The nuclei is described by convex billiards or in the mean field theory. In both cases, besides the Poincare surface of sections which gives a qualitative description, each trajectory is characterized by its maximum Lyapunov exponent. The analytic monodromy matrix for a free particle in convex billiards rotating around an axis perpendicular to the plan of billiards, is determined, generalizing a previous result obtained for static billiards. In the frame of the mean field theory, it is shown an interesting alternative to the Lyapunov exponent, which is the dimension of the manifold in the phase space associated to the trajectory, leading to the evaluation of the relative chaotic volume in phase space as a function of the different parameters. The dimension appears as a character which could be determined easily for the rotating mean field, where the dimension of the manifold on which the trajectory is lying could be equal to 5 or 4 for chaotic trajectories, and less or equal to 3 for regular ones.}
place = {France}
year = {1992}
month = {Jun}
}