Detailansicht
Approximation of Additive Convolution-Like Operators
eBook - Real C
ISBN/EAN: 9783764387518
Umbreit-Nr.: 1720731
Sprache:
Englisch
Umfang: 306 S., 12.19 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 19.09.2008
Auflage: 1/2008
E-Book
Format: PDF
DRM: Digitales Wasserzeichen
- Zusatztext
- Various aspects of numerical analysis for equations arising in boundary integral equation methods have been the subject of several books published in the last 15 years [95, 102, 183, 196, 198]. Prominent examples include various classes of o- dimensional singular integral equations or equations related to single and double layer potentials. Usually, a mathematically rigorous foundation and error analysis for the approximate solution of such equations is by no means an easy task. One reason is the fact that boundary integral operators generally are neither integral operatorsof the formidentity plus compact operatornor identity plus an operator with a small norm. Consequently, existing standard theories for the numerical analysis of Fredholm integral equations of the second kind are not applicable. In the last 15 years it became clear that the Banach algebra technique is a powerful tool to analyze the stability problem for relevant approximation methods [102, 103, 183, 189]. The starting point for this approach is the observation that the ? stability problem is an invertibility problem in a certain BanachorC -algebra. As a rule, this algebra is very complicated and one has to ?nd relevant subalgebras to use such tools as local principles and representation theory. However,invariousapplicationsthereoftenarisecontinuousoperatorsacting on complex Banach spaces that are not linear but only additive i. e. , A(x+y)= Ax+Ay for all x,y from a given Banach space. It is easily seen that additive operators 1 are R-linear provided they are continuous.
- Kurztext
- <P>This book deals with numerical analysis for certain classes of additive operators and related equations. It is the first book to present systematic study of approximation methods for the Muskhelishvili equation.</P>