TY - JOUR
T1 - On the energy transfer to high frequencies in the damped/driven nonlinear Schrödinger equation
AU - Huang, Guan
AU - Kuksin, Sergei
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
PY - 2021/12
Y1 - 2021/12
N2 - We consider a damped/driven nonlinear Schrödinger equation in Rn, where n is arbitrary, Eut-νΔu+i|u|2u=νη(t,x),ν>0, under odd periodic boundary conditions. Here η(t, x) is a random force which is white in time and smooth in space. It is known that the Sobolev norms of solutions satisfy ‖u(t)‖m2≤Cν-m, uniformly in t≥ 0 and ν> 0. In this work we prove that for small ν> 0 and any initial data, with large probability the Sobolev norms ‖ u(t, ·) ‖ m with m> 2 become large at least to the order of ν-κn,m with κn,m> 0 , on time intervals of order O(1ν). It proves that solutions of the equation develop short space-scale of order ν to a positive degree, and rigorously establishes the (direct) cascade of energy for the equation.
AB - We consider a damped/driven nonlinear Schrödinger equation in Rn, where n is arbitrary, Eut-νΔu+i|u|2u=νη(t,x),ν>0, under odd periodic boundary conditions. Here η(t, x) is a random force which is white in time and smooth in space. It is known that the Sobolev norms of solutions satisfy ‖u(t)‖m2≤Cν-m, uniformly in t≥ 0 and ν> 0. In this work we prove that for small ν> 0 and any initial data, with large probability the Sobolev norms ‖ u(t, ·) ‖ m with m> 2 become large at least to the order of ν-κn,m with κn,m> 0 , on time intervals of order O(1ν). It proves that solutions of the equation develop short space-scale of order ν to a positive degree, and rigorously establishes the (direct) cascade of energy for the equation.
KW - Energy cascading
KW - NLS
KW - Sobolev norms
UR - http://www.scopus.com/inward/record.url?scp=85098722667&partnerID=8YFLogxK
U2 - 10.1007/s40072-020-00187-2
DO - 10.1007/s40072-020-00187-2
M3 - Article
AN - SCOPUS:85098722667
SN - 2194-0401
VL - 9
SP - 867
EP - 891
JO - Stochastics and Partial Differential Equations: Analysis and Computations
JF - Stochastics and Partial Differential Equations: Analysis and Computations
IS - 4
ER -