Stiffness matrix
Builds on Hilbert spaceBilinear formGalerkin methodFinite element method
Definition
Let be a real Hilbert space, let be a bounded bilinear form, and let be a bounded linear functional. Let be a finite-dimensional subspace with a basis , as in the Galerkin method or the finite element method. The stiffness matrix is the matrix with entries The vector with is the load vector.
Remarks
The function satisfies for all exactly when . If is symmetric, then is symmetric. If is coercive, with , then for , so is positive definite in the symmetric case and invertible in general. If and have disjoint supports and is an integral of local terms, then .
Example: for on with , take , nodes with , and hat functions with . On each of its two intervals equals , so , , and all other entries are . So .
Non-example: the matrix is built from the inner product, not from the form of the problem. It is the mass matrix, which has and for the hat functions above.
Reading path
To understand this page from the ground up, read these 5 pages in order. The foundations come first.
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- no evidence level
- Bilinear form concept
- Finite element method concept
- Galerkin method concept
- Hilbert space concept
- Stiffness matrix definition
Further reading
About this page
| Tag | DPR9DJRPAF |
|---|---|
| URI | m2://DPR9DJRPAF |
| Kind | definition |
| Writing | W0 stub |
| MSC | 65N30, 74S05 |
| Defines | Stiffness matrix |
| Uses | Hilbert space, Bilinear form, Galerkin method, Finite element method |
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