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Eigenfunction

 
Sci-Tech Dictionary: eigenfunction
(′ī·gən′fəŋk·shən)

(mathematics) Also known as characteristic function. An eigenvector for a linear operator on a vector space whose vectors are functions. Also known as proper function. A solution to the Sturm-Liouville partial differential equation.


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Sci-Tech Encyclopedia: Eigenfunction
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One of the solutions of an eigenvalue equation. A parameter-dependent equation that possesses nonvanishing solutions only for particular values (eigenvalues) of the parameter is an eigenvalue equation, the associated solutions being the eigenfunctions (sometimes eigenvectors). In older usage the terms characteristic equation and characteristic values (functions) are common. Eigenvalue equations appear in many contexts, including the solution of systems of linear algebraic equations (matrix equations), differential or partial differential equations, and integral equations. The importance of eigenfunctions and eigenvalues in applied mathematics results from the widespread applicability of linear equations as exact or approximate descriptions of physical systems. However, the most fundamental application of these concepts is in quantum mechanics where they enter into the definition and physical interpretation of the theory. Only linear eigenvalue equations will be discussed. See also Eigenvalue (quantum mechanics); Energy level (quantum mechanics); Quantum mechanics.


Wikipedia: Eigenfunction
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This solution of the vibrating drum problem is, at any point in time, an eigenfunction of the Laplace operator 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 on 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.

Specifically, in signals and systems, the eigenfunction of a system is the signal f(t) which when input into the system, produces a response y(t) = λf(t) with the complex constant λ.

Applications

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



\mathcal H \psi = E \psi
,


with


 \mathcal H = -\frac{\hbar^2}{2m}\nabla^2+ V(\mathbf{r},t)


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


 
 
Learn More
Wigner's theorem (quantum mechanics)
eigenstate (quantum mechanics)
eigenfunction expansion (mathematics)

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