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31: 32.14 Combinatorics
The distribution function F ( s ) given by (32.14.2) arises in random matrix theory where it gives the limiting distribution for the normalized largest eigenvalue in the Gaussian Unitary Ensemble of n × n Hermitian matrices; see Tracy and Widom (1994). … See Forrester and Witte (2001, 2002) for other instances of Painlevé equations in random matrix theory.
32: 31.11 Expansions in Series of Hypergeometric Functions
Series of Type II (§31.11(iv)) are expansions in orthogonal polynomials, which are useful in calculations of normalization integrals for Heun functions; see Erdélyi (1944) and §31.9(i). … Let w ( z ) be any Fuchs–Frobenius solution of Heun’s equation. … Every Fuchs–Frobenius solution of Heun’s equation (31.2.1) can be represented by a series of Type I. … In this case the accessory parameter q is a root of the continued-fraction equation
§31.11(v) Doubly-Infinite Series
33: 18.39 Applications in the Physical Sciences
Brief mention of non-unit normalized solutions in the case of mixed spectra appear, but as these solutions are not OP’s details appear elsewhere, as referenced. … By Table 18.3.1#12 the normalized stationary states and corresponding eigenvalues are … There is no need for a normalization constant here, as appropriate constants already appear in §18.36(vi). … Explicit normalization is given for the second, third, and fourth of these, paragraphs c) and d), below. … thus recapitulating, for Z = 1 , line 11 of Table 18.8.1, now shown with explicit normalization for the measure d r . …
34: 28.15 Expansions for Small q
§28.15(i) Eigenvalues λ ν ( q )
28.15.1 λ ν ( q ) = ν 2 + 1 2 ( ν 2 1 ) q 2 + 5 ν 2 + 7 32 ( ν 2 1 ) 3 ( ν 2 4 ) q 4 + 9 ν 4 + 58 ν 2 + 29 64 ( ν 2 1 ) 5 ( ν 2 4 ) ( ν 2 9 ) q 6 + .
Higher coefficients can be found by equating powers of q in the following continued-fraction equation, with a = λ ν ( q ) :
28.15.2 a ν 2 q 2 a ( ν + 2 ) 2 q 2 a ( ν + 4 ) 2 = q 2 a ( ν 2 ) 2 q 2 a ( ν 4 ) 2 .
28.15.3 me ν ( z , q ) = e i ν z q 4 ( 1 ν + 1 e i ( ν + 2 ) z 1 ν 1 e i ( ν 2 ) z ) + q 2 32 ( 1 ( ν + 1 ) ( ν + 2 ) e i ( ν + 4 ) z + 1 ( ν 1 ) ( ν 2 ) e i ( ν 4 ) z 2 ( ν 2 + 1 ) ( ν 2 1 ) 2 e i ν z ) + ;
35: Bibliography M
  • R. S. Maier (2005) On reducing the Heun equation to the hypergeometric equation. J. Differential Equations 213 (1), pp. 171–203.
  • R. S. Maier (2007) The 192 solutions of the Heun equation. Math. Comp. 76 (258), pp. 811–843.
  • H. R. McFarland and D. St. P. Richards (2001) Exact misclassification probabilities for plug-in normal quadratic discriminant functions. I. The equal-means case. J. Multivariate Anal. 77 (1), pp. 21–53.
  • H. R. McFarland and D. St. P. Richards (2002) Exact misclassification probabilities for plug-in normal quadratic discriminant functions. II. The heterogeneous case. J. Multivariate Anal. 82 (2), pp. 299–330.
  • J. P. Mills (1926) Table of the ratio: Area to bounding ordinate, for any portion of normal curve. Biometrika 18, pp. 395–400.
  • 36: Bibliography L
  • G. Labahn and M. Mutrie (1997) Reduction of Elliptic Integrals to Legendre Normal Form. Technical report Technical Report 97-21, Department of Computer Science, University of Waterloo, Waterloo, Ontario.
  • C. G. Lambe and D. R. Ward (1934) Some differential equations and associated integral equations. Quart. J. Math. (Oxford) 5, pp. 81–97.
  • E. W. Leaver (1986) Solutions to a generalized spheroidal wave equation: Teukolsky’s equations in general relativity, and the two-center problem in molecular quantum mechanics. J. Math. Phys. 27 (5), pp. 1238–1265.
  • D. W. Lozier and J. M. Smith (1981) Algorithm 567: Extended-range arithmetic and normalized Legendre polynomials [A1], [C1]. ACM Trans. Math. Software 7 (1), pp. 141–146.
  • N. A. Lukaševič (1971) The second Painlevé equation. Differ. Uravn. 7 (6), pp. 1124–1125 (Russian).
  • 37: 3.2 Linear Algebra
    With 𝐲 = [ y 1 , y 2 , , y n ] T the process of solution can then be regarded as first solving the equation 𝐋 𝐲 = 𝐛 for 𝐲 (forward elimination), followed by the solution of 𝐔 𝐱 = 𝐲 for 𝐱 (back substitution). … A normalized eigenvector has Euclidean norm 1; compare (3.2.13) with p = 2 . … where 𝐱 and 𝐲 are the normalized right and left eigenvectors of 𝐀 corresponding to the eigenvalue λ . … Define the Lanczos vectors 𝐯 j and coefficients α j and β j by 𝐯 0 = 𝟎 , a normalized vector 𝐯 1 (perhaps chosen randomly), α 1 = 𝐯 1 T 𝐀 𝐯 1 , β 1 = 0 , and for j = 1 , 2 , , n 1 by the recursive scheme …
    38: 22.18 Mathematical Applications
    §22.18(i) Lengths and Parametrization of Plane Curves
    §22.18(iii) Uniformization and Other Parametrizations
    The special case y 2 = ( 1 x 2 ) ( 1 k 2 x 2 ) is in Jacobian normal form. For any two points ( x 1 , y 1 ) and ( x 2 , y 2 ) on this curve, their sum ( x 3 , y 3 ) , always a third point on the curve, is defined by the Jacobi–Abel addition law …
    39: Bibliography H
  • G. W. Hill and A. W. Davis (1973) Algorithm 442: Normal deviate. Comm. ACM 16 (1), pp. 51–52.
  • I. D. Hill (1973) Algorithm AS66: The normal integral. Appl. Statist. 22 (3), pp. 424–427.
  • N. J. Hitchin (1995) Poncelet Polygons and the Painlevé Equations. In Geometry and Analysis (Bombay, 1992), Ramanan (Ed.), pp. 151–185.
  • H. Hochstadt (1963) Estimates of the stability intervals for Hill’s equation. Proc. Amer. Math. Soc. 14 (6), pp. 930–932.
  • H. Hochstadt (1964) Differential Equations: A Modern Approach. Holt, Rinehart and Winston, New York.
  • 40: 31.10 Integral Equations and Representations
    §31.10 Integral Equations and Representations
    Kernel Functions
    Here κ ~ m is a normalization constant and C is the contour of Example 1. … leads to the kernel equation