Eigenfunction
In mathematics, an eigenfunction of a linear operator, A, defined on some function space is any non-zero function f in that space that returns from the operator exactly as is, except for a multiplicative scaling factor. More precisely, one has
for some scalar, λ, the corresponding eigenvalue. The solution of the differential eigenvalue problem also depends on any boundary conditions required of
. In each case there are only certain eigenvalues
(
) that admit a corresponding solution for
(with each
belonging to the eigenvalue
) when combined with the boundary conditions. The existence of eigenfunctions is typically the most insightful way to analyze
.
For example,
is an eigenfunction for the differential operator
for any value of
, with corresponding eigenvalue
. If boundary conditions are applied to this system (e.g.,
at two physical locations in space), then only certain values of
satisfy the boundary conditions, generating corresponding discrete eigenvalues
.
Specifically, in the study of signals and systems, the eigenfunction of a system is the signal
which when input into the system, produces a response
with the complex constant
.[1]
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[edit] Applications
Eigenfunctions play an important role in many branches of physics. An important example is quantum mechanics, where the Schrödinger equation
,
with
has solutions of the form
where
are eigenfunctions of the operator
with eigenvalues
. The fact that only certain eigenvalues
with associated eigenfunctions
satisfy Schrödinger's equation leads to a natural basis for quantum mechanics and the periodic table of the elements, with each
an allowable energy state of the system. The success of this equation in explaining the spectral characteristics of hydrogen is considered one of the great triumphs of 20th century physics.
Due to the nature of the Hamiltonian operator
, its eigenfunctions are orthogonal functions. This is not necessarily the case for eigenfunctions of other operators (such as the example
mentioned above). Orthogonal functions
,
have the property that
where
is the complex conjugate of 
whenever
, in which case the set
is said to be orthogonal. Also, it is linearly independent.
[edit] Notes
- ^ Bernd Girod, Rudolf Rabenstein, Alexander Stenger, Signals and systems, 2nd ed., Wiley, 2001, ISBN 0471988006 p. 49
[edit] References
- Methods of Mathematical Physics by R. Courant, D. Hilbert ISBN 0-471-50447-5 (Volume 1 Paperback) ISBN 0-471-50439-4 (Volume 2 Paperback) ISBN 0-471-17990-6 (Hardback)


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