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Helmholtz Equation of Any Dimension |
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The Helmholtz equation is usually expressed as
with k being a constant. If k is a function of location it is a generalized Helmholtz equation. For now let k be a constant, but what is sought is a relationship that holds for constant k that will provide insights into the solution for nonconstant k.
The Laplacian operator is equal to the divergence of the gradient operator. Thus the Helmholtz equation is more properly expressed as
This equation can be multiplied by the gradient of φ, ∇φ, to obtain
The RHS is equivalent to (∇·(∇φ))∇φ = −½k²(∇(φ²))
The LHS is more complicated. There is the vector calculus identity.
where (u·∇) is the directional derivative in the direction of u. Thus (u·∇)u is the directional derivative of u in the direction of u. It is thus something in the nature of a derivative of the vector u.
With u set equal to ∇φ this takes the form of
Therefore the LHS is given by
Thus Equation (1) can be expressed as
There is a generalized form of Gauss' Divergence Theorem, called the Generalized Stokes Theorem (GST), which takes the form of
where ω is a differentiable form and dω is its exterior derivative. V denotes an orientable manifold and ∂V is its boundary surface. This theorem may be applied to all of the terms of the above equation.
The next step is to choose a volume over which Equation (2) will be inegrated. The one selected is a tubular one of infinitesimal cross section extending from a minimum of φ², namely zero, to a maximum of φ². The sides of this volume are parallel to ∇φ. The areas of the end plates of this volume are denoted as δS.
The GST applied to the RHS gives
where M indicates at a point of Maximum φ² and m at a point of minimum φ², which happens to be be 0. Thus
Since ∇φ=0 (a vector of zeroes) at a point of maximum φ² the integration of − (∇φ·∇)∇&phi yields
The end surface is everywhere perpendicular to ∇φ. Therefore, by the GST,
(To be continued.)
For two dimensions a relevant solution is of the form
where A is a constant, n is a positive integer, and Y_{n} is a Bessel function of the first kind of index n.
If this function is depicted by showing its maxima the picture would look something like this.
(To be continued.)
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