2015
DOI: 10.1063/1.4918302
|View full text |Cite
|
Sign up to set email alerts
|

Stochastic D-bifurcation for a damped sine-Gordon equation with noise

Abstract: We investigate the stochastic bifurcation of a damped sine-Gordon equation with Dirichlet boundary conditions under the influence of multiplicative Gaussian white noise. Introducing a slow time scale, we derive the amplitude equations near the trivial solution by multiscale analysis. And the stationary probability density functions are formulated analytically using the stochastic averaging of energy envelope. The numerical calculations show that the system undergoes a stochastic D-bifurcation of energy envelop… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…Technical analysis of stochastic sine-Gordon equations and its generalizations has been performed. Recently, such endeavours have been pursued energetically: for example by Hairer and Shen (2015) for 2 space dimensions, Anton et al (2015) with two-parameter white noise on the unit square, Guarcello et al (2015) with a numerical study of breathers in long Josephson junctions and Huang et al (2015) with a study of stochastic bifurcation theory.…”
Section: Some Previous Studies Of Stochastic Sine-gordon Equationsmentioning
confidence: 99%
“…Technical analysis of stochastic sine-Gordon equations and its generalizations has been performed. Recently, such endeavours have been pursued energetically: for example by Hairer and Shen (2015) for 2 space dimensions, Anton et al (2015) with two-parameter white noise on the unit square, Guarcello et al (2015) with a numerical study of breathers in long Josephson junctions and Huang et al (2015) with a study of stochastic bifurcation theory.…”
Section: Some Previous Studies Of Stochastic Sine-gordon Equationsmentioning
confidence: 99%