On the convergence in variation for the images of measures under differentiable mappings
β Scribed by Daria Alexandrova; Vladimir Bogachev; Andrei Pilipenko
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 481 KB
- Volume
- 328
- Category
- Article
- ISSN
- 0764-4442
No coin nor oath required. For personal study only.
β¦ Synopsis
Let F,, F : R" -R" be measurable mappings such that F, -+ F and a,,., F, -+ i),? F in measure on a measurable set E. We give conditions ensuring that the images of Lebesgue measure XII., on E under the mappings F, converge in the variation norm to the image of Xlk; under F. For example, a sufficient condition is that FJ -+ F in the Sobolev space I4 T1"'(Iwi'5 W") with y >_ n. and E c {det DF # O}. Analogous results are obtained for mappings between Riemannian manifolds and mappings from infinite-dimensional spaces. 0 Acadt?mie des SciencesElsevier, Paris Note pr&entke par Paul MALLIAC'IN.
π SIMILAR VOLUMES
We establish a convergence theorem for the Midpoint method using a new system of rectu'rence relations. The purpose of this note is to relax its convergence conditions. We also give an example where our convergence theorem can be applied but other ones cannot.