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Encyclopedia > Eigenfunctions

In mathematics, an eigenfunction f of a linear operator A on a function space is an eigenvector of the linear operator; it satisfies

for some scalar λ, the corresponding eigenvalue. The existence of eigenvectors is typically a great help in analysing A.


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



for any value of k, with a corresponding eigenvalue λ = k2 - k.


Eigenfunctions play an important role in quantum mechanics, where the Schrödinger equation

has solutions of the form

where φk are eigenfunctions of the operator with eigenvalues Ek. 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 A mentioned above)


  Results from FactBites:
 
Eigenfunction Expansions, Operator Algebras and Riemannian Symmetric Spaces (437 words)
This Research Note pays particular attention to studying the convergence of the expansion and to the case where D is a family of partial differential operators.
The elements of the range of these eigenprojections are the eigenfunctions, which solve the appropriate eigenvalue equations by duality.
The spectral measure is abstractly defined, but its absolute continuity with respect to Hausdorf measure on the joint spectrum is shown to occur when the eigenfunctions are very well-behaved.
  More results at FactBites »


 
 

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