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Integral equations Definition

Eigenfunction of an integral operator

Builds on Hilbert–Schmidt integral operatorEigenvectorEigenvalue

Definition

Let a<ba < b, let K∈L2([a,b]×[a,b])K \in L^2([a, b] \times [a, b]), and let TKT_K be the Hilbert–Schmidt integral operator (TKφ)(x)=∫abK(x,y)φ(y) dy(T_K \varphi)(x) = \int_a^b K(x, y) \varphi(y) \, dy on L2[a,b]L^2[a, b]. An eigenfunction of TKT_K is a function φ∈L2[a,b]\varphi \in L^2[a, b], not 00 almost everywhere, such that ∫abK(x,y) φ(y) dy=μ φ(x)for almost every x∈[a,b]\int_a^b K(x, y) \, \varphi(y) \, dy = \mu \, \varphi(x) \quad \text{for almost every } x \in [a, b] for some μ∈ℂ\mu \in \C. The number μ\mu is the eigenvalue of φ\varphi.

Remarks

So an eigenfunction is an eigenvector of TKT_K in the vector space L2[a,b]L^2[a, b]. When μ≠0\mu \ne 0, the eigenfunctions for μ\mu are the nonzero solutions of the homogeneous equation φ=λTKφ\varphi = \lambda T_K \varphi with λ=1/μ\lambda = 1/\mu.

Example: for K(x,y)=min⁡(x,y)K(x, y) = \min(x, y) on [0,1][0, 1] and φ(x)=sin⁡(πx/2)\varphi(x) = \sin(\pi x / 2), one has ∫01min⁡(x,y)φ(y) dy=4π2φ(x)\int_0^1 \min(x, y) \varphi(y) \, dy = \frac{4}{\pi^2} \varphi(x). To check, call the left side g(x)g(x); then g(0)=0g(0) = 0, g′(1)=0g'(1) = 0 and g′′=−φg'' = -\varphi, and 4π2φ\frac{4}{\pi^2} \varphi satisfies the same three conditions, which determine gg.

Non-example: for the same kernel, φ=1\varphi = 1 is not an eigenfunction, since ∫01min⁡(x,y) dy=x−x2/2\int_0^1 \min(x, y) \, dy = x - x^2/2 is not a constant multiple of 11.

The same definition is used with L2[a,b]L^2[a, b] replaced by C[a,b]C[a, b] for continuous kernels, or by the L2L^2 space of a measure space. For continuous kernels and μ≠0\mu \ne 0, every eigenfunction in L2L^2 agrees almost everywhere with a continuous one.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Eigenfunction
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MSC45C05, 47A75, 47G10
DefinesEigenfunction of an integral operator
UsesHilbert–Schmidt integral operator, Eigenvector, Eigenvalue

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