Author : National Aeronautics and Space Administration (NASA)
Release : 2018-07-13
Genre :
Kind : eBook
Book Rating : 688/5 ( reviews)
Book Synopsis Theoretical Study of the Incompressible Navier-Stokes Equations by the Least-Squares Method by : National Aeronautics and Space Administration (NASA)
Download or read book Theoretical Study of the Incompressible Navier-Stokes Equations by the Least-Squares Method written by National Aeronautics and Space Administration (NASA). This book was released on 2018-07-13. Available in PDF, EPUB and Kindle. Book excerpt: Usually the theoretical analysis of the Navier-Stokes equations is conducted via the Galerkin method which leads to difficult saddle-point problems. This paper demonstrates that the least-squares method is a useful alternative tool for the theoretical study of partial differential equations since it leads to minimization problems which can often be treated by an elementary technique. The principal part of the Navier-Stokes equations in the first-order velocity-pressure-vorticity formulation consists of two div-curl systems, so the three-dimensional div-curl system is thoroughly studied at first. By introducing a dummy variable and by using the least-squares method, this paper shows that the div-curl system is properly determined and elliptic, and has a unique solution. The same technique then is employed to prove that the Stokes equations are properly determined and elliptic, and that four boundary conditions on a fixed boundary are required for three-dimensional problems. This paper also shows that under four combinations of non-standard boundary conditions the solution of the Stokes equations is unique. This paper emphasizes the application of the least-squares method and the div-curl method to derive a high-order version of differential equations and additional boundary conditions. In this paper, an elementary method (integration by parts) is used to prove Friedrichs' inequalities related to the div and curl operators which play an essential role in the analysis. Jiang, Bo-Nan and Loh, Ching Y. and Povinelli, Louis A. Glenn Research Center NCC3-233; RTOP 505-90-5K...
