Calculus of variations and optimal control; optimization Definition
Relaxation of a variational problem
Definition
Let be a topological space and let be a functional. The relaxed functional, or lower semicontinuous envelope, of is The relaxed problem of the problem is the problem .
Remarks
The function is itself lower semicontinuous, and . If is a metric space, then . In the calculus of variations one uses the sequential form of this formula for weak convergence in a Sobolev space.
The relaxed problem has the same infimum: . If is a metric space, every limit of a subsequence of a minimising sequence of is a minimiser of .
Example: on , let for and . Then for all , which attains the common infimum at , while does not attain it.
Example: let on with weak convergence. Its relaxation is , where is the convex envelope of . The function minimises , with , although has no minimiser.
Non-example: for maps with , replacing the integrand by its convex envelope does not give in general. For matrices, is weakly continuous on for , so it needs no relaxation, but its convex envelope is . The correct integrand is the quasiconvex envelope, under growth conditions.
Reading path
To understand this page from the ground up, read these 4 pages in order. The foundations come first.
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- no evidence level
- Functional concept
- Semicontinuity concept
- Topological space concept
- Relaxation of a variational problem definition
Further reading
About this page
| Tag | S6KGGNFKDF |
|---|---|
| URI | m2://S6KGGNFKDF |
| Kind | definition |
| Writing | W0 stub |
| MSC | 49J45 |
| Defines | Relaxation of a variational problem |
| Uses | Functional, Semicontinuity, Topological space |
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