Probabilistic methods for physics

被引:0
作者
Cirier, G. [1 ]
机构
[1] Univ Paris 06, LSTA, F-75252 Paris 05, France
来源
IC-MSQUARE 2012: INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELLING IN PHYSICAL SCIENCES | 2013年 / 410卷
关键词
D O I
10.1088/1742-6596/410/1/012082
中图分类号
O59 [应用物理学];
学科分类号
摘要
We present an asymptotic method giving a probability of presence of the iterated spots of R-d 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.
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页数:5
相关论文
共 4 条
[1]  
Cirier G., 2012, HAL00691097, V2
[2]  
Delabaere E., 2002, GLOBAL ASYMPTOTIC MU
[3]  
Mackey M., 1991, CHAOS FRACTALS NOISE
[4]  
Plancherel M., 1929, Comment. Math. Helv., V1, P227