Variational and Potential Methods for a Class of Linear Hyperbolic Evolutionary Processes

Variational and Potential Methods for a Class of Linear Hyperbolic Evolutionary Processes
Author :
Publisher : Springer Science & Business Media
Total Pages : 170
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ISBN-10 : 1852338881
ISBN-13 : 9781852338886
Rating : 4/5 (81 Downloads)

Book Synopsis Variational and Potential Methods for a Class of Linear Hyperbolic Evolutionary Processes by : Igor Chudinovich

Download or read book Variational and Potential Methods for a Class of Linear Hyperbolic Evolutionary Processes written by Igor Chudinovich and published by Springer Science & Business Media. This book was released on 2005-02-03 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Variational and boundary integral equation techniques are two of the most useful methods for solving time-dependent problems described by systems of equations of the form 2 ? u = Au, 2 ?t 2 where u = u(x,t) is a vector-valued function, x is a point in a domain inR or 3 R,and A is a linear elliptic di?erential operator. To facilitate a better und- standing of these two types of methods, below we propose to illustrate their mechanisms in action on a speci?c mathematical model rather than in a more impersonal abstract setting. For this purpose, we have chosen the hyperbolic system of partial di?erential equations governing the nonstationary bending of elastic plates with transverse shear deformation. The reason for our choice is twofold. On the one hand, in a certain sense this is a “hybrid” system, c- sistingofthreeequationsforthreeunknownfunctionsinonlytwoindependent variables, which makes it more unusual—and thereby more interesting to the analyst—than other systems arising in solid mechanics. On the other hand, this particular plate model has received very little attention compared to the so-called classical one, based on Kirchho?’s simplifying hypotheses, although, as acknowledged by practitioners, it represents a substantial re?nement of the latter and therefore needs a rigorous discussion of the existence, uniqueness, and continuous dependence of its solution on the data before any construction of numerical approximation algorithms can be contemplated.


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