About the Project

little q-Jacobi polynomials

AdvancedHelp

(0.003 seconds)

21—30 of 271 matching pages

21: 24.18 Physical Applications
§24.18 Physical Applications
Bernoulli polynomials appear in statistical physics (Ordóñez and Driebe (1996)), in discussions of Casimir forces (Li et al. (1991)), and in a study of quark-gluon plasma (Meisinger et al. (2002)). Euler polynomials also appear in statistical physics as well as in semi-classical approximations to quantum probability distributions (Ballentine and McRae (1998)).
22: 3.2 Linear Algebra
When the factorization (3.2.5) is available, the accuracy of the computed solution 𝐱 can be improved with little extra computation. … The polynomial …The multiplicity of an eigenvalue is its multiplicity as a zero of the characteristic polynomial3.8(i)). … … Its characteristic polynomial can be obtained from the recursion …
23: Bibliography D
  • B. Deconinck and M. van Hoeij (2001) Computing Riemann matrices of algebraic curves. Phys. D 152/153, pp. 28–46.
  • H. Delange (1988) On the real roots of Euler polynomials. Monatsh. Math. 106 (2), pp. 115–138.
  • K. Dilcher (2008) On multiple zeros of Bernoulli polynomials. Acta Arith. 134 (2), pp. 149–155.
  • G. C. Donovan, J. S. Geronimo, and D. P. Hardin (1999) Orthogonal polynomials and the construction of piecewise polynomial smooth wavelets. SIAM J. Math. Anal. 30 (5), pp. 1029–1056.
  • T. M. Dunster (2001b) Uniform asymptotic expansions for Charlier polynomials. J. Approx. Theory 112 (1), pp. 93–133.
  • 24: 27.16 Cryptography
    Procedures for finding such primes require very little computer time. …
    25: 4.13 Lambert W -Function
    4.13.1_1 W k ( z ) = ln k ( z ) ln ( ln k ( z ) ) + o ( 1 ) , | z | ,
    in which the p n ( x ) are polynomials of degree n with …
    26: 24.3 Graphs
    See accompanying text
    Figure 24.3.1: Bernoulli polynomials B n ( x ) , n = 2 , 3 , , 6 . Magnify
    See accompanying text
    Figure 24.3.2: Euler polynomials E n ( x ) , n = 2 , 3 , , 6 . Magnify
    27: 18.4 Graphics
    See accompanying text
    Figure 18.4.1: Jacobi polynomials P n ( 1.5 , 0.5 ) ( x ) , n = 1 , 2 , 3 , 4 , 5 . Magnify
    See accompanying text
    Figure 18.4.2: Jacobi polynomials P n ( 1.25 , 0.75 ) ( x ) , n = 7 , 8 . … Magnify
    See accompanying text
    Figure 18.4.4: Legendre polynomials P n ( x ) , n = 1 , 2 , 3 , 4 , 5 . Magnify
    See accompanying text
    Figure 18.4.5: Laguerre polynomials L n ( x ) , n = 1 , 2 , 3 , 4 , 5 . Magnify
    See accompanying text
    Figure 18.4.7: Monic Hermite polynomials h n ( x ) = 2 n H n ( x ) , n = 1 , 2 , 3 , 4 , 5 . Magnify
    28: 18.7 Interrelations and Limit Relations
    §18.7 Interrelations and Limit Relations
    Chebyshev, Ultraspherical, and Jacobi
    Legendre, Ultraspherical, and Jacobi
    §18.7(ii) Quadratic Transformations
    §18.7(iii) Limit Relations
    29: 10.7 Limiting Forms
    10.7.6 Y i ν ( z ) = i csch ( ν π ) Γ ( 1 i ν ) ( 1 2 z ) i ν i coth ( ν π ) Γ ( 1 + i ν ) ( 1 2 z ) i ν + e | ν ph z | o ( 1 ) , ν and ν 0 .
    J ν ( z ) = 2 / ( π z ) ( cos ( z 1 2 ν π 1 4 π ) + e | z | o ( 1 ) ) ,
    Y ν ( z ) = 2 / ( π z ) ( sin ( z 1 2 ν π 1 4 π ) + e | z | o ( 1 ) ) , | ph z | π δ ( < π ) .
    30: 18.41 Tables
    §18.41(i) Polynomials
    For P n ( x ) ( = 𝖯 n ( x ) ) see §14.33. Abramowitz and Stegun (1964, Tables 22.4, 22.6, 22.11, and 22.13) tabulates T n ( x ) , U n ( x ) , L n ( x ) , and H n ( x ) for n = 0 ( 1 ) 12 . The ranges of x are 0.2 ( .2 ) 1 for T n ( x ) and U n ( x ) , and 0.5 , 1 , 3 , 5 , 10 for L n ( x ) and H n ( x ) . … For P n ( x ) , L n ( x ) , and H n ( x ) see §3.5(v). …