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1: 28.12 Definitions and Basic Properties
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►The introduction to the eigenvalues and the functions of general order proceeds as in §§28.2(i), 28.2(ii), and 28.2(iii), except that we now restrict ; equivalently .
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§28.12(ii) Eigenfunctions
… ►For , … ► … ►2: 28.2 Definitions and Basic Properties
3: 16.2 Definition and Analytic Properties
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§16.2(i) Generalized Hypergeometric Series
… ► … ►Polynomials
… ►Note also that any partial sum of the generalized hypergeometric series can be represented as a generalized hypergeometric function via … ►§16.2(v) Behavior with Respect to Parameters
…4: 8.19 Generalized Exponential Integral
§8.19 Generalized Exponential Integral
… ►§8.19(ii) Graphics
… ►§8.19(ix) Inequalities
… ►§8.19(xi) Further Generalizations
►For higher-order generalized exponential integrals see Meijer and Baken (1987) and Milgram (1985).5: 8.21 Generalized Sine and Cosine Integrals
§8.21 Generalized Sine and Cosine Integrals
►§8.21(i) Definitions: General Values
… ►§8.21(iv) Interrelations
… ►§8.21(v) Special Values
… ►6: 1.16 Distributions
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is called a distribution, or generalized function, if it is a continuous linear functional on , that is, it is a linear functional and for every in ,
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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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►More generally, if is an infinitely differentiable function, then
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►Suppose is infinitely differentiable except at , where left and right derivatives of all orders exist, and
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►Friedman (1990) gives an overview of generalized functions and their relation to distributions.
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7: 35.8 Generalized Hypergeometric Functions of Matrix Argument
§35.8 Generalized Hypergeometric Functions of Matrix Argument
►§35.8(i) Definition
… ►Convergence Properties
… ►§35.8(iv) General Properties
… ►Confluence
…8: 19.2 Definitions
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§19.2(i) General Elliptic Integrals
…9: 10.76 Approximations
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