Raviart–Thomas Basis Functions
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In applied mathematics, Raviart–Thomas basis functions are vector
basis function In mathematics, a basis function is an element of a particular basis for a function space. Every function in the function space can be represented as a linear combination of basis functions, just as every vector in a vector space can be represen ...
s used in finite element and boundary element methods. They are regularly used as basis functions when working in electromagnetics. They are sometimes called Rao-Wilton-Glisson basis functions. The
space Space is the boundless three-dimensional extent in which objects and events have relative position and direction. In classical physics, physical space is often conceived in three linear dimensions, although modern physicists usually consider ...
\mathrm_q spanned by the Raviart–Thomas basis functions of order q is the smallest polynomial space such that the
divergence In vector calculus, divergence is a vector operator that operates on a vector field, producing a scalar field giving the quantity of the vector field's source at each point. More technically, the divergence represents the volume density of the ...
maps \mathrm_q onto \mathrm_q, the space of piecewise polynomials of order q.


Order 0 Raviart-Thomas Basis Functions in 2D

In two-dimensional space, the lowest order Raviart Thomas space, \mathrm_0, has degrees of freedom on the edges of the elements of the finite element mesh. The nth edge has an associated basis function defined by \mathbf_n(\mathbf)=\left\{\begin{array}{ll} \frac{l_n}{2A_n^+}(\mathbf{r}-\mathbf{p}_+)\quad&\mathrm{if\ \mathbf{r}\in\ T_+}\\ -\frac{l_n}{2A_n^-}(\mathbf{r}-\mathbf{p}_-)\quad&\mathrm{if\ \mathbf{r}\in\ T_-}\\ \mathbf{0}\quad&\mathrm{otherwise} \end{array}\right. where l_n is the length of the edge, T_+ and T_- are the two triangles adjacent to the edge, A_n^+ and A_n^- are the areas of the triangles and \mathbf{p}_+ and \mathbf{p}_- are the opposite corners of the triangles. Sometimes the basis functions are alternatively defined as \mathbf{f}_n(\mathbf{r})=\left\{\begin{array}{ll} \frac{1}{2A_n^+}(\mathbf{r}-\mathbf{p}_+)\quad&\mathrm{if\ \mathbf{r}\in\ T_+}\\ -\frac{1}{2A_n^-}(\mathbf{r}-\mathbf{p}_-)\quad&\mathrm{if\ \mathbf{r}\in\ T_-}\\ \mathbf{0}\quad&\mathrm{otherwise} \end{array}\right. with the length factor not included.


References

{{DEFAULTSORT:Raviart-Thomas basis functions Finite element method Numerical differential equations Partial differential equations