Skip to main navigation Skip to search Skip to main content

Dynamical and scale invariance of charged particles slipping on a rough surface with periodic excitation

  • Xi'an Jiaotong University
  • State Grid Shandong Supply Branch Company

Research output: Contribution to journalArticlepeer-review

Abstract

This letter deals with the dynamical and scaling invariance of charged particles slipping on a rough surface with periodic excitation. A variant of the Fermi–Ulam model (FUM) is proposed to describe the transport behavior of the particles when the electric field force Fe is smaller or larger than the friction force Ff, i.e., A<0 or A>0. For these two cases, the stability of fixed points is analyzed with the help of the eigenvalue analysis method, and further the invariant manifolds are constructed to investigate the dynamical invariance such as energy diffusion for some initial conditions in the case A>0 and decay process in the case A<0. Moreover, the scaling invariance analysis is performed to demonstrate the power law of the statistical behavior. It follows that both the FA phenomenon for A>0 and the velocity decay process for A<0 satisfy scaling invariance with respect to the nondimensional acceleration A. Besides, for A<0, the transient number nx is proposed to evaluate the speed of the velocity decay process. More importantly, nx is found to possess the attribute of scaling invariance with respect to both the initial velocity V0 and the nondimensional acceleration A. These results are very useful for the in-depth understanding of the energy transport properties of charged particle systems.

Original languageEnglish
Pages (from-to)2055-2064
Number of pages10
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Volume381
Issue number25-26
DOIs
StatePublished - 12 Jul 2017

Keywords

  • Charged particle
  • Dynamical invariance
  • Fermi acceleration
  • Invariant manifold
  • Scaling invariance

Fingerprint

Dive into the research topics of 'Dynamical and scale invariance of charged particles slipping on a rough surface with periodic excitation'. Together they form a unique fingerprint.

Cite this