Stieltjes constants
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1—10 of 15 matching pages
1: 25.2 Definition and Expansions
2: 25.6 Integer Arguments
3: Errata
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Subsection 25.2(ii) Other Infinite Series
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4: 31.15 Stieltjes Polynomials
§31.15 Stieltjes Polynomials
… ►§31.15(ii) Zeros
… ►This is the Stieltjes electrostatic interpretation. … ►§31.15(iii) Products of Stieltjes Polynomials
…5: 1.14 Integral Transforms
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§1.14(vi) Stieltjes Transform
►The Stieltjes transform of a real-valued function is defined by … … ►Inversion
… ►Laplace Transform
…6: 9.10 Integrals
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9.10.15
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9.10.16
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►For the confluent hypergeometric function and the incomplete gamma function see §§13.1, 13.2, and 8.2(i).
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9.10.17
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§9.10(vii) Stieltjes Transforms
…7: 18.1 Notation
8: 2.6 Distributional Methods
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§2.6(ii) Stieltjes Transform
… ►The Stieltjes transform of is defined by … ►For a more detailed discussion of the derivation of asymptotic expansions of Stieltjes transforms by the distribution method, see McClure and Wong (1978) and Wong (1989, Chapter 6). Corresponding results for the generalized Stieltjes transform …An application has been given by López (2000) to derive asymptotic expansions of standard symmetric elliptic integrals, complete with error bounds; see §19.27(vi). …9: 18.39 Applications in the Physical Sciences
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►All are written in the same form as the product of three factors: the square root of a weight function , the corresponding OP or EOP, and constant factors ensuring unit normalization.
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►and , has eigenfunctions
…There is no need for a normalization constant here, as appropriate constants already appear in §18.36(vi).
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►The Schrödinger operator essential singularity, seen in the accumulation of discrete eigenvalues for the attractive Coulomb problem, is mirrored in the accumulation of jumps in the discrete Pollaczek–Stieltjes measure as .
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►The equivalent quadrature weight, , also forms the foundation of a novel inversion of the Stieltjes–Perron moment inversion discussed in §18.40(ii).
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10: 1.16 Distributions
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►where and are real or complex constants.
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►More generally, for a nondecreasing function the corresponding Lebesgue–Stieltjes measure (see §1.4(v)) can be considered as a distribution:
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►where is a constant.
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►Since is the Lebesgue–Stieltjes measure corresponding to (see §1.4(v)), formula (1.16.16) is a special case of (1.16.3_5), (1.16.9_5) for that choice of .
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►See Hildebrandt (1938) and Chihara (1978, Chapter II) for Stieltjes measures which are used in §18.39(iii); see also Shohat and Tamarkin (1970, Chapter II).
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