2008
DOI: 10.1007/s11139-007-9078-9
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Asymptotic analysis of the Krawtchouk polynomials by the WKB method

Abstract: We analyze the Krawtchouk polynomials K n (x, N, p, q) asymptotically. We use singular perturbation methods to analyze them for N → ∞, with appropriate scalings of the two variables x and n. In particular, the WKB method and asymptotic matching are used. We obtain asymptotic approximations valid in the whole domain [0, N ] × [0, N ], involving some special functions. We give numerical examples showing the accuracy of our formulas.

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Cited by 27 publications
(14 citation statements)
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“…The same approach was employed by Carlitz in [2]. From (6), it follows easily that for a fixed value of n P n (x) ∼ n! x n , x → ∞.…”
Section: Introductionmentioning
confidence: 90%
See 1 more Smart Citation
“…The same approach was employed by Carlitz in [2]. From (6), it follows easily that for a fixed value of n P n (x) ∼ n! x n , x → ∞.…”
Section: Introductionmentioning
confidence: 90%
“…The paper is organized as follows: in Section 2 we approach the problem using a singularity analysis of the generating function [14] of the polynomials P n (x). In Section 3 we apply the WKB method to the differential-difference equation (6). In [15], we used this approach in the asymptotic analysis of computer science problems and in [6] to study the Krawtchouk polynomials.…”
Section: Introductionmentioning
confidence: 99%
“…The main complication in working with Krawtchouk polynomials is that they have several different forms of asymptotic behavior depending on whether x and k are in the lower, middle or upper part of their range; indeed, [9] breaks the asymptotic properties of κ k (x) into 12 different cases. However, for our purpose, we need only two different upper bounds on the Krawtchouk polynomials, based on whether k/n is greater than or less than 0.14; a somewhat arbitrary threshold that we will see the justification for below.…”
Section: Fourier Analysis and Krawtchouk Polynomialsmentioning
confidence: 99%
“…The parabolic cylinder functions arise in several contexts associated with the limits of queueing models, such as the Ornstein-Uhlenbeck limit of the appropriately scaled infinite-server queue [20] and various limits associated with the Erlang loss model [40]. We note that the parabolic cylinder functions have been studied as the limits of certain polynomials under the HW scaling, using tools from the theory of differential equations [2,[9][10][11]].…”
Section: 2mentioning
confidence: 99%