Numerical Solutions of the Cauchy Problem in Potential and Elastostatics

2019 ◽  
pp. 115-132 ◽  
Author(s):  
Kazuei Onishi ◽  
Qingchuan Wang
1991 ◽  
Vol 05 (15) ◽  
pp. 2499-2513
Author(s):  
I.P. PAVLOTSKY ◽  
V.M. SUSLIN

Following Bogolubov’s ideas a system of pseudo-differential equations for the density functions of interacting biological species is constructed in self-consistent Vlasov’s approximation. Some mathematical properties of these equations including the Cauchy problem are obtained in the particular case of Volterra’s dynamics. For this case we propose a method of numerical calculation of the evolution of the density functions. Some examples of the numerical solutions are given.


2003 ◽  
Vol 8 (1) ◽  
pp. 61-75
Author(s):  
V. Litovchenko

The well-posedness of the Cauchy problem, mentioned in title, is studied. The main result means that the solution of this problem is usual C∞ - function on the space argument, if the initial function is a real functional on the conjugate space to the space, containing the fundamental solution of the corresponding problem. The basic tool for the proof is the functional analysis technique.


Filomat ◽  
2017 ◽  
Vol 31 (5) ◽  
pp. 1287-1293 ◽  
Author(s):  
Zujin Zhang ◽  
Dingxing Zhong ◽  
Shujing Gao ◽  
Shulin Qiu

In this paper, we consider the Cauchy problem for the 3D MHD fluid passing through the porous medium, and provide some fundamental Serrin type regularity criteria involving the velocity or its gradient, the pressure or its gradient. This extends and improves [S. Rahman, Regularity criterion for 3D MHD fluid passing through the porous medium in terms of gradient pressure, J. Comput. Appl. Math., 270 (2014), 88-99].


2020 ◽  
Vol 18 (1) ◽  
pp. 1685-1697
Author(s):  
Zhenyu Zhao ◽  
Lei You ◽  
Zehong Meng

Abstract In this paper, a Cauchy problem for the Laplace equation is considered. We develop a modified Tikhonov regularization method based on Hermite expansion to deal with the ill posed-ness of the problem. The regularization parameter is determined by a discrepancy principle. For various smoothness conditions, the solution process of the method is uniform and the convergence rate can be obtained self-adaptively. Numerical tests are also carried out to verify the effectiveness of the method.


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