activity
20062021
most citedPath probability distribution of stochastic motion of non dissipative systems: a classical analog of Feynman factor of path integral

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

math.PR2021

Study of a measure of efficiency as a tool for applying the principle of least effort to the derivation of the Zipf and the Pareto laws

A. El Kaabouchi, F. X. Machu, J. Cocks +3

The principle of least effort is believed to be a universal rule for living systems. Its application to the derivation of the power law probability distributions of living systems…

cond-mat.stat-mech2013★ 8 cited

Path probability distribution of stochastic motion of non dissipative systems: a classical analog of Feynman factor of path integral

T. L. Lin, R. Wang, W. P. Bi +4

We investigate, by numerical simulation, the path probability of non dissipative mechanical systems undergoing stochastic motion. The aim is to search for the relationship between…

cond-mat.stat-mech2012

Numerical study of path probability for stochastic motion of non dissipative systems

Tongling Lin, Ru Wang, W. P. Bi +4

The path probability of stochastic motion of non dissipative or quasi-Hamiltonian systems is investigated by numerical experiment. The simulation model generates ideal one-dimensio…

cond-mat.stat-mech2009

Fractional Dynamics, Tiling Equilibrium states and Riemann's zeta function

A. Le Méhauté, A. El Kaabouchi, L. Nivanen +1

Il is argued that the generalisation of the mechanical principles to other variables than localisation, velocity and momentum leads to the laws of generalized dynamics under the co…

math.GT2006

Contribution of Non Integer Integro-Differential Operators (NIDO) to the geometrical understanding of Riemann's conjecture-(II)

Alain Le Méhauté, Abdelaziz El Kaabouchi, Laurent Nivanen

Advances in fractional analysis suggest a new way for the physics understanding of Riemann's conjecture. It asserts that, if s is a complex number, the non trivial zeros of zeta fu…