Numerical analysis of a self-similar turbulent flow in Bose-Einstein condensates

被引:21
作者
Semisalov, B., V [1 ]
Grebenev, V. N. [2 ]
Medvedev, S. B. [1 ,2 ]
Nazarenko, S., V [3 ]
机构
[1] Novosibirsk State Univ, Novosibirsk 630090, Russia
[2] Fed Res Ctr Informat & Computat Technol, Novosibirsk 630090, Russia
[3] Univ Cote DAzur, Inst Phys Nice, Ave Joseph Vallot, F-06100 Nice, France
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2021年 / 102卷
基金
欧盟地平线“2020”;
关键词
Wave turbulence; Bose gas; Nonlinear spectral problem; Cubature formula; Pseudospectral method; Relaxation method; Analysis of the error; NONLINEAR 4-WAVE INTERACTIONS; WEAK TURBULENCE; MODEL; EQUATION; SWELL;
D O I
10.1016/j.cnsns.2021.105903
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study a self-similar solution of the kinetic equation describing weak wave turbulence in Bose-Einstein condensates. This solution presumably corresponds to an asymptotic behavior of a spectrum evolving from a broad class of initial data, and it features a non-equilibrium finite-time condensation of the wave spectrum n(omega) at the zero frequency omega. The self-similar solution is of the second kind, and it satisfies boundary conditions corresponding to a nonzero constant spectrum (with all its derivative being zero) at omega = 0 and a power-law asymptotic n(omega) -> omega(-x) at omega -> infinity x is an element of R+ . Finding it amounts to solving a non-linear eigenvalue problem, i.e. finding the value x* of the exponent x for which these two boundary conditions can be satisfied simultaneously. To solve this problem we develop a new high-precision algorithm based on Chebyshev approximations and double exponential formulas for evaluating the collision integral, as well as the iterative techniques for solving the integro-differential equation for the self-similar shape function. This procedures allow to achieve a solution with accuracy approximate to 4 . 7% which is realized for x* approximate to 1 . 22 . (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:23
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