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Determining an unknown source in the heat equation by a wavelet dual least squares method

✍ Scribed by Fang-Fang Dou; Chu-Li Fu


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
425 KB
Volume
22
Category
Article
ISSN
0893-9659

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✦ Synopsis


We consider the problem of determining an unknown source, which depends only on the spatial variable, in a heat equation. The problem is ill-posed in the sense that the solution (if it exists) does not depend continuously on the data. For a reconstruction of the unknown source from measured data the dual least squares method generated by a family of Meyer wavelet subspaces is applied. An explicit relation between the truncation level of the wavelet expansion and the data error bound is found, under which the convergence result with the error estimate is obtained.