Calculus of variations and optimal control; optimization Definition
Calculus of variations
Builds on Sobolev spacePartial derivative
Definition
Let be a bounded open set and let be a continuous function, the Lagrangian, written . Let be a class of functions with prescribed values on , for which the integral below makes sense. For example, may lie in or in a Sobolev space . The integral functional with Lagrangian is A variational problem asks for a minimiser of on , or more generally for its critical points. A minimiser is a with for all . The calculus of variations is the study of such problems: existence of minimisers, necessary and sufficient conditions for a minimum, and properties of minimisers.
Remarks
The same words are used for functionals with higher derivatives, for vector-valued , and for constraints such as fixed volume or fixed norm.
Example: for , the Dirichlet energy gives . Its minimisers with boundary values are the harmonic functions with these boundary values, which is Dirichlet's principle.
Example: the area of the graph of has Lagrangian , and its critical points solve the minimal surface equation.
Non-example: minimising is an optimisation over functions. But this functional is not the integral of a Lagrangian, so it is not a variational problem in this sense.
Reading path
To understand this page from the ground up, read these 7 pages in order. The foundations come first.
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- no evidence level
- Euclidean space object
- Function concept
- Sobolev space concept
- Function of several variables concept
- Limit of a function of several variables concept
- Partial derivative definition
- Calculus of variations definition
Further reading
About this page
| Tag | 410CS90H3R |
|---|---|
| URI | m2://410CS90H3R |
| Kind | definition |
| Writing | W0 stub |
| MSC | 49-XX, 49K10, 35A15 |
| Defines | Calculus of variations |
| Uses | Sobolev space, Partial derivative |
| Changed | 2 November 2026 |
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