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Deterministic Chaos of N Stochastic Waves in Two Dimensions

机译:二维N个随机波的确定性混沌

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Kinematic exponential Fourier (KEF) structures, dynamic exponential (DEF) Fourier structures, and KEF-DEF structures with time-dependent structural coefficients are developed to examine kinematic and dynamic problems for a deterministic chaos of N stochastic waves in the two-dimensional theory of the Newtonian flows with harmonic velocity. The Dirichlet problems are formulated for kinematic and dynamics systems of the vorticity, continuity, Helmholtz, Lamb-Helmholtz, and Bernoulli equations in the upper and lower domains for stochastic waves vanishing at infinity. Development of the novel method of solving partial differential equations through decomposition in invariant structures is resumed by using experimental and theoretical computation in Maple?. This computational method generalizes the analytical methods of separation of variables and undetermined coefficients. Exact solutions for the deterministic chaos of upper and lower cumulative flows are revealed by experimental computing, proved by theoretical computing, and justified by the system of Navier-Stokes PDEs. Various scenarios of a developed wave chaos are modeled by 3N parameters and 2N boundary functions, which exhibit stochastic behavior.
机译:动力学指数傅里叶(KEF)结构,动力学指数(DEF)傅里叶结构和具有随时间变化的结构系数的KEF-DEF结构被开发出来,以研究N维随机波的确定性混沌的运动学和动力学问题。牛顿流以谐波速度流动。 Dirichlet问题是针对随机波在无限远处消失的上下域中的涡度,连续性,Helmholtz,Lamb-Helmholtz和Bernoulli方程的运动学和动力学系统制定的。通过在Maple?中进行实验和理论计算,恢复了通过不变结构分解来求解偏微分方程的新方法的开发。这种计算方法概括了变量和不确定系数分离的分析方法。实验计算揭示了上下累积流量确定性混乱的精确解,理论计算证明了该解,Navier-Stokes PDE系统证明了这一点。用3N参数和2N边界函数对波动混沌的各种情况进行建模,这些参数表现出随机行为。

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