Calculus of variations and optimal control; optimization Definition
Shape derivative
Definition
Let and let be the Banach space of bounded Lipschitz vector fields , with norm . Let be a class of open subsets of , and let be a shape functional. Let be such that whenever is small enough. Then is shape differentiable at if the map is Fréchet differentiable at . Its Fréchet derivative, a bounded linear map , is the shape derivative of at .
Remarks
For the map is a bi-Lipschitz homeomorphism of , so is again open. Example: the volume of a bounded open set. By the change of variables formula . Since , the shape derivative is . If has a boundary with outward unit normal vector , the divergence theorem gives . Non-example: at a set with is not shape differentiable. Take bounded and a smooth function with compact support that equals on a neighbourhood of . Along one gets and , which has a corner at . For smooth and smooth , the Hadamard structure theorem gives for a function on , the shape gradient.
Reading path
To understand this page from the ground up, read these 11 pages in order. The foundations come first.
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- no evidence level
- Angle between two vectors concept
- Euclidean space object
- Functional concept
- Length of a vector concept
- Line concept
- Plane concept
- Fréchet derivative definition
- Geometric formula for the dot product statement
- Vectors are perpendicular if and only if their dot product is zero statement
- Normal vector definition
- Shape derivative definition
Further reading
About this page
| Tag | RCSXGDTTET |
|---|---|
| URI | m2://RCSXGDTTET |
| Kind | definition |
| Writing | W0 stub |
| MSC | 49Q10, 49Q12 |
| Defines | Shape derivative |
| Uses | Functional, Fréchet derivative, Normal vector |
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