M-test for uniform convergence
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11—20 of 207 matching pages
11: 18.29 Asymptotic Approximations for -Hahn and Askey–Wilson Classes
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►These asymptotic expansions are in fact convergent expansions.
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►For a uniform asymptotic expansion of the Stieltjes–Wigert polynomials, see Wang and Wong (2006).
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12: Bibliography W
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Uniform asymptotics of the Stieltjes-Wigert polynomials via the Riemann-Hilbert approach.
J. Math. Pures Appl. (9) 85 (5), pp. 698–718.
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Estimates for the error term in a uniform asymptotic expansion of the Jacobi polynomials.
Anal. Appl. (Singap.) 1 (2), pp. 213–241.
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Uniform asymptotic expansion of the Jacobi polynomials in a complex domain.
Proc. Roy. Soc. London Ser. A 460, pp. 2569–2586.
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On a uniform treatment of Darboux’s method.
Constr. Approx. 21 (2), pp. 225–255.
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On uniform asymptotic expansion of definite integrals.
J. Approximation Theory 7 (1), pp. 76–86.
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13: 1.8 Fourier Series
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►(1.8.10) continues to apply if either or or both are infinite and/or has finitely many singularities in , provided that the integral converges uniformly (§1.5(iv)) at , and the singularities for all sufficiently large .
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§1.8(ii) Convergence
… ►Then the series (1.8.1) converges to the sum …The convergence is non-uniform, however, at points where ; see §6.16(i). … ►For other tests for convergence see Titchmarsh (1962b, pp. 405–410). …14: 17.18 Methods of Computation
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►Method (1) is applicable within the circles of convergence of the defining series, although it is often cumbersome owing to slowness of convergence and/or severe cancellation.
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►Method (1) can sometimes be improved by application of convergence acceleration procedures; see §3.9.
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15: 18.40 Methods of Computation
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►Usually, however, other methods are more efficient, especially the numerical solution of difference equations (§3.6) and the application of uniform asymptotic expansions (when available) for OP’s of large degree.
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►These quadrature weights and abscissas will then allow construction of a convergent sequence of approximations to , as will be considered in the following paragraphs.
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►Gautschi (2004, p. 119–120) has explored the limit via the Wynn -algorithm, (3.9.11) to accelerate convergence, finding four to eight digits of precision in , depending smoothly on , for , for an example involving first numerator Legendre OP’s.
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►Convergence is .
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►Further, exponential convergence in , via the Derivative Rule, rather than the power-law convergence of the histogram methods, is found for the inversion of Gegenbauer, Attractive, as well as Repulsive, Coulomb–Pollaczek, and Hermite weights and zeros to approximate for these OP systems on and respectively, Reinhardt (2018), and Reinhardt (2021b), Reinhardt (2021a).
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16: 9.15 Mathematical Applications
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►Airy functions play an indispensable role in the construction of uniform asymptotic expansions for contour integrals with coalescing saddle points, and for solutions of linear second-order ordinary differential equations with a simple turning point.
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17: 10.74 Methods of Computation
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►In other circumstances the power series are prone to slow convergence and heavy numerical cancellation.
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►For large positive real values of the uniform asymptotic expansions of §§10.20(i) and 10.20(ii) can be used.
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►Newton’s rule is quadratically convergent and Halley’s rule is cubically convergent.
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18: Bibliography N
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Uniform asymptotic expansion for the incomplete beta function.
SIGMA Symmetry Integrability Geom. Methods Appl. 12, pp. 101, 5 pages.
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Uniform Asymptotic Approximations of Solutions of Second-order Linear Differential Equations, with a Coalescing Simple Turning Point and Simple Pole.
Ph.D. Thesis, University of Maryland, College Park, MD.
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Bisection hardly ever converges linearly.
Numer. Math. 70 (1), pp. 111–118.
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19: 3.8 Nonlinear Equations
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►The rule converges locally and is cubically convergent.
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►The convergence of iterative methods
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20: 2.4 Contour Integrals
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►For examples and extensions (including uniformity and loop integrals) see Olver (1997b, Chapter 4), Wong (1989, Chapter 1), and Temme (1985).
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►is seen to converge absolutely at each limit, and be independent of .
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►If this integral converges uniformly at each limit for all sufficiently large , then by the Riemann–Lebesgue lemma (§1.8(i))
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►For a coalescing saddle point and a pole see Wong (1989, Chapter 7) and van der Waerden (1951); in this case the uniform approximants are complementary error functions.
For a coalescing saddle point and endpoint see Olver (1997b, Chapter 9) and Wong (1989, Chapter 7); if the endpoint is an algebraic singularity then the uniform approximants are parabolic cylinder functions with fixed parameter, and if the endpoint is not a singularity then the uniform approximants are complementary error functions.
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