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On periodic domain, people always use Fourier basis, which eigenvectors of Laplace operator. On sphere, people use spherical harmonics, which also are eigenvectors of Laplace operator. In applied science, people decompose functions on a graph using eigenvectors of graph laplacian.

What makes eigenvectors of Laplace operator widely used compared to other orthogonal basis? Are there any other operators also provide orthogonal basis which are also useful? Are there any example that we are not using Laplace operator?

On non-periodic domain, we have many orthogonal polynomial systems, say, Legendre polynomials, Chebyshev polynomials, Jacobi polynomials. So, we have more than just one set of orthogonal basis, in this case. It motivates me to ask those above questions.

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    $\begingroup$ A choice of basis depends on what problem one is trying to solve. When you ask "does any orthogonal basis do the same job" it is not clear what job you are referring to. $\endgroup$
    – Yemon Choi
    Commented Feb 24, 2016 at 0:56
  • $\begingroup$ Is it still unclear after I edited the questions? @qiaochu-yuan $\endgroup$
    – Po C.
    Commented Feb 29, 2016 at 4:34

2 Answers 2

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The exponentials used in Fourier series are eigenvalues of shifts, and thus of any operator commuting with shifts, not just Laplacian. Similarly, spherical harmonics carry irreducible representations of $SO(3)$, and so they are eigenfunctions of any rotationally invariant operator.

If the underlying space has symmetries, it's no wonder that a basis respecting those symmetries has some nice properties.

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    $\begingroup$ This is also the case for the Jacobi, Legendre Chebyshev etc polynomials. You have symmetric spaces and these polynomials come from there. See en.wikipedia.org/wiki/Zonal_spherical_function , and some papers of Koornwinder. $\endgroup$
    – AHusain
    Commented Feb 24, 2016 at 5:03
  • $\begingroup$ @AHusain: Thank you for these references, they have helped me. $\endgroup$ Commented Jun 28, 2018 at 22:24
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The original purpose of all these systems was solving PDE of mathematical physics which involves separation of variables in the Laplace operator. What is special about Laplace operator is explained in Kostya_I answer. But this was realized much later than Fourier series and spherical harmonics were introduced.

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