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1: 1.6 Vectors and Vector-Valued Functions
§1.6 Vectors and Vector-Valued Functions
§1.6(i) Vectors
Unit Vectors
Cross Product (or Vector Product)
§1.6(ii) Vectors: Alternative Notations
2: 1.18 Linear Second Order Differential Operators and Eigenfunction Expansions
§1.18(viii) Mixed Spectra and Eigenfunction Expansions
Spectral expansions and self-adjoint extensions
3: 1.3 Determinants, Linear Operators, and Spectral Expansions
§1.3 Determinants, Linear Operators, and Spectral Expansions
Linear Operators in Finite Dimensional Vector Spaces
The adjoint of a matrix 𝐀 is the matrix 𝐀 such that 𝐀 𝐚 , 𝐛 = 𝐚 , 𝐀 𝐛 for all 𝐚 , 𝐛 𝐄 n . …
Orthonormal Expansions
4: 12.20 Approximations
§12.20 Approximations
Luke (1969b, pp. 25 and 35) gives Chebyshev-series expansions for the confluent hypergeometric functions U ( a , b , x ) and M ( a , b , x ) 13.2(i)) whose regions of validity include intervals with endpoints x = and x = 0 , respectively. As special cases of these results a Chebyshev-series expansion for U ( a , x ) valid when λ x < follows from (12.7.14), and Chebyshev-series expansions for U ( a , x ) and V ( a , x ) valid when 0 x λ follow from (12.4.1), (12.4.2), (12.7.12), and (12.7.13). Here λ denotes an arbitrary positive constant.
5: 12.9 Asymptotic Expansions for Large Variable
§12.9 Asymptotic Expansions for Large Variable
§12.9(i) Poincaré-Type Expansions
Throughout this subsection δ is an arbitrary small positive constant. …
§12.9(ii) Bounds and Re-Expansions for the Remainder Terms
Bounds and re-expansions for the error term in (12.9.1) can be obtained by use of (12.7.14) and §§13.7(ii), 13.7(iii). …
6: 11.6 Asymptotic Expansions
§11.6 Asymptotic Expansions
For re-expansions of the remainder terms in (11.6.1) and (11.6.2), see Dingle (1973, p. 445). … More fully, the series (11.2.1) and (11.2.2) can be regarded as generalized asymptotic expansions2.1(v)). … Here …
7: 13.19 Asymptotic Expansions for Large Argument
§13.19 Asymptotic Expansions for Large Argument
Again, δ denotes an arbitrary small positive constant. … Error bounds and exponentially-improved expansions are derivable by combining §§13.7(ii) and 13.7(iii) with (13.14.2) and (13.14.3). … For an asymptotic expansion of W κ , μ ( z ) as z that is valid in the sector | ph z | π δ and where the real parameters κ , μ are subject to the growth conditions κ = o ( z ) , μ = o ( z ) , see Wong (1973a).
8: 18.24 Hahn Class: Asymptotic Approximations
This expansion is in terms of the parabolic cylinder function and its derivative. … This expansion is in terms of confluent hypergeometric functions. … The first expansion holds uniformly for δ x 1 + δ , and the second for 1 δ x 1 + δ 1 , δ being an arbitrary small positive constant. Both expansions are in terms of parabolic cylinder functions. … Taken together, these expansions are uniformly valid for < x < and for a in unbounded intervals—each of which contains [ 0 , ( 1 δ ) n ] , where δ again denotes an arbitrary small positive constant. …
9: 8.20 Asymptotic Expansions of E p ( z )
§8.20 Asymptotic Expansions of E p ( z )
§8.20(i) Large z
δ again denoting an arbitrary small positive constant. … For an exponentially-improved asymptotic expansion of E p ( z ) see §2.11(iii).
§8.20(ii) Large p
10: 13.24 Series
§13.24 Series
§13.24(i) Expansions in Series of Whittaker Functions
For expansions of arbitrary functions in series of M κ , μ ( z ) functions see Schäfke (1961b).
§13.24(ii) Expansions in Series of Bessel Functions
For other series expansions see Prudnikov et al. (1990, §6.6). …