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INHOMOGENEOUS BOUNDARY VALUE PROBLEMS FOR COMPRESSIBLE NAVIER-STOKES EQUATIONS: WELL-POSEDNESS AND SENSITIVITY ANALYSIS.
- Source :
- SIAM Journal on Mathematical Analysis; 2008, Vol. 40 Issue 3, p1152-1200, 49p, 1 Diagram
- Publication Year :
- 2008
-
Abstract
- In this paper compressible, stationary Navier--Stokes equations are considered. A framework for analysis of such equations is established. In particular, the well-posedness for inhomogeneous boundary value problems of elliptic-hyperbolic type is shown. Analysis is performed for small perturbations of the so-called approximate solutions that take form (1.12). The approximate solutions are determined from Stokes problem (1.11). The small perturbations are given by solutions to (1.13). The uniqueness of solutions for problem (1.13) is proved, and, in addition, the differentiability of solutions with respect to the coefficients of differential operators is shown. The results on the well-posedness of nonlinear problems are interesting on their own and are used to obtain the shape differentiability of the drag functional for incompressible Navier--Stokes equations. The shape gradient of the drag functional is derived in the classical and useful for computations form; an appropriate adjoint state is introduced to this end. The material derivatives of solutions to the Navier--Stokes equations are given by smooth functions; however, the shape differentiability is shown in a weak norm. The method of analysis proposed in this paper is general and can be used to establish the well-posedness for distributed and boundary control problems as well as for inverse problems in the case of the state equations in the form of compressible Navier--Stokes equations. The differentiability of solutions to the Navier--Stokes equations with respect to the data leads to the first order necessary conditions for a broad class of optimization problems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00361410
- Volume :
- 40
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- SIAM Journal on Mathematical Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 35187870
- Full Text :
- https://doi.org/10.1137/070694272