Eigenfunction

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This solution of the vibrating drum problem is, at any point in time, an eigenfunction of the Laplace's equation on a disk.

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


\mathcal A f = \lambda f

for some scalar, λ, the corresponding eigenvalue. The solution of the differential eigenvalue problem also depends upon any boundary conditions required of f. In each case there are only certain eigenvalues λ = λn (n = 1,2,3,...) that admit a corresponding solution for f = fn (with each fn belonging to the eigenvalue λn) when combined with the boundary conditions. The existence of eigenfunctions is typically the most insightful way to analyze A.

For example, fk(x) = ekx is an eigenfunction for the differential operator


\mathcal A = \frac{d^2}{dx^2} - \frac{d}{dx}

for any value of k, with a corresponding eigenvalue λ = k2k. If boundary conditions are applied to this system (e.g., f = 0 at two physical locations in space), then only certain values of k = kn satisfy the boundary conditions, generating corresponding discrete eigenvalues \lambda_n=k_n^2-k_n.

Applications

Eigenfunctions play an important role in many branches of physics. An important example is quantum mechanics, where the Schrödinger equation


i \hbar \frac{\partial}{\partial t} \psi = \mathcal H \psi

has solutions of the form


\psi(t) = \sum_k e^{-i E_k t/\hbar} \phi_k,

where φk are eigenfunctions of the operator \mathcal H with eigenvalues Ek. The fact that only certain eigenvalues Ek with associated eigenfunctions φk satisfy Schrödinger's equation leads to a natural basis for quantum mechanics and the periodic table of the elements, with each Ek 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 \mathcal H, its eigenfunctions are orthogonal functions. This is not necessarily the case for eigenfunctions of other operators (such as the example A mentioned above). Orthogonal functions fi, i=1, 2, \dots, have the property that


0 = \int f_i^{*} f_j

where 
f_i^{*}
is the complex conjugate of fi

whenever i\neq j, in which case the set \{f_i \,|\, i \in I\} is said to be orthogonal. Also, it is linearly independent.

See also

Wikipedia content modification information:

  • This page was last modified on 7 November 2008, at 13:22.

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