Eigenfunctions and Eigenvalues of the Airy Equation Using Spectral Methods

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Consider the Airy differential equation, , where
,
, and
. Values of
and
(the eigenvalues and eigenfunctions) can be determined by solving the generalized eigenvalue problem
, where the matrices
and
are given in the details section. The
eigenfunction is given by
, where
is the classic Airy function and
is the
eigenvalue. This Demonstration approximates the values of the eigenvalues and eigenfunctions (up to
) numerically using spectral methods. When the number of grid points is large, the numerical values of
at the grid points match the Airy function very closely.
Contributed by: Housam Binous, Brian G. Higgins, and Ahmed Bellagi (March 2013)
Open content licensed under CC BY-NC-SA
Snapshots
Details
The interior points, the Chebyshev–Gauss–Lobatto points, are given by . These points are the extremums of the Chebyshev polynomial of the first kind
.
The Chebyshev derivative matrix at the quadrature points
,
,
is given by
,
,
for
, and
for
,
and
,
where
for
and
.
The matrix is equal to
(without its first row and first column) and
.
Reference
[1] L. N. Trefethen, Spectral Methods in MATLAB, Philadelphia: SIAM, 2000.
Permanent Citation