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Pattern Generation by Dissipative Parametric Instability.
Perego, A M; Tarasov, N; Churkin, D V; Turitsyn, S K; Staliunas, K.
Affiliation
  • Perego AM; Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, United Kingdom.
  • Tarasov N; Departament de Fisica i Enginyeria Nuclear, Universitat Politècnica de Catalunya, E-08222 Barcelona, Spain.
  • Churkin DV; Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, United Kingdom.
  • Turitsyn SK; Institute of Computational Technologies SB RAS, Novosibirsk 630090, Russia.
  • Staliunas K; Aston Institute of Photonic Technologies, Aston University, Birmingham B4 7ET, United Kingdom.
Phys Rev Lett ; 116(2): 028701, 2016 Jan 15.
Article in En | MEDLINE | ID: mdl-26824573
Nonlinear instabilities are responsible for spontaneous pattern formation in a vast number of natural and engineered systems, ranging from biology to galaxy buildup. We propose a new instability mechanism leading to pattern formation in spatially extended nonlinear systems, which is based on a periodic antiphase modulation of spectrally dependent losses arranged in a zigzag way: an effective filtering is imposed at symmetrically located wave numbers k and -k in alternating order. The properties of the dissipative parametric instability differ from the features of both key classical concepts of modulation instabilities, i.e., the Benjamin-Feir instability and the Faraday instabiltyity. We demonstrate how the dissipative parametric instability can lead to the formation of stable patterns in one- and two-dimensional systems. The proposed instability mechanism is generic and can naturally occur or can be implemented in various physical systems.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Theoretical Language: En Journal: Phys Rev Lett Year: 2016 Document type: Article Affiliation country: United kingdom Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Theoretical Language: En Journal: Phys Rev Lett Year: 2016 Document type: Article Affiliation country: United kingdom Country of publication: United States