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1: 30.16 Methods of Computation
2: 37.11 Spherical Harmonics
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►In the case of dimension
see §14.30 for spherical harmonics and (1.5.17) for the Laplacian.
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37.11.3
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►Its dimension is
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37.11.5
, .
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Reduction to Lower Dimension
…3: About Color Map
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►We use color to augment these vizualizations, either to reinforce the recognition of the height, or to convey an extra dimension to represent the phase of complex valued functions.
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4: 37.13 General Orthogonal Polynomials of Variables
5: 1.6 Vectors and Vector-Valued Functions
6: 37.19 Other Orthogonal Polynomials of Variables
7: 21.2 Definitions
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21.2.1
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8: 1.18 Linear Second Order Differential Operators and Eigenfunction Expansions
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Example 1: In one and two dimensions any with a ‘Dip, or Well’ has a partly discrete spectrum
►Suppose that is the whole real line in one dimension, and that , in (1.18.28) has (non-oscillatory) limits of at both , and thus a continuous spectrum on . … … ►Put () and (), the deficiency indices for . … ►Thus has dimension 0, 1 or 2. …9: 37.15 Orthogonal Polynomials on the Ball
10: 10.73 Physical Applications
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►Accordingly, the spherical Bessel functions appear in all problems in three dimensions with spherical symmetry involving the scattering of electromagnetic radiation.
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