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q-Analog


A q-analog, also called a q-extension or q-generalization, is a mathematical expression parameterized by a quantity q that generalizes a known expression and reduces to the known expression in the limit q->1^-. There are q-analogs of the factorial, binomial coefficient, derivative, integral, Fibonacci numbers, and so on. Koornwinder, Suslov, and Bustoz, have even managed some kind of q-Fourier analysis. Note that while European writers generally prefer the British spelling "q-analogue" (Koekoek and Swarttouw 1998, p. 7; Koepf 1998, p. 26), American authors prefer the shorter "q-analog" (Andrews et al. 1999, pp. 490 and 496). To avoid this ambiguity (as well as the pitfall that there are sometimes more than just a single q-analog), the term q-extension (Andrews et al. 1999, pp. 483, 485, 487, etc.) may be preferable.

q-analogs are based on the observation that

 lim_(q->1^-)(1-q^alpha)/(1-q)=alpha,
(1)

and the quantity (1-q^alpha)/(1-q) is sometimes written [alpha] (Koekoek and Swarttouw 1998, p. 7). q-analogs provided the basis for the Askey-Wilson classification of all orthogonal polynomials.

A physical motivation for q-special functions is provided by generalizing the canonical commutation relation

 xp-px=1,
(2)

where x is a generalized coordinate and p the corresponding generalized momentum, to

 xp-qpx=1.
(3)

For example, this immediately leads to the q-analog of the Hermite polynomial. q-analogs preserve (or change only slightly) the form of the governing functional equations, and therefore arise in many physical applications, such as exact models in statistical mechanics, noncommutative geometry, and many-particle systems.

q-analogs also have a combinatorial interpretation based on the fact that one can count the elements of some set S to get the number #S. A so-called "statistic" f:S->Z can then be defined which is an integer-valued function on S and separates the elements of S into classes based on what value f takes on the elements. This relationship can be summarized by writing a polynomial in a new variable, usually taken as q, where the coefficient of q^n is #{s in S:f(s)=n}. Evaluating the polynomial at q=1 then adds the coefficients together, returning the original #S.

The q-analog of a mathematical object is generally called the "q-object," hence q-binomial coefficient, q-factorial, etc. There are generally several q-analogs if there is one, and there is sometimes even a multibasic analog with independent q_1, q_2, .... Other types of analogs are also defined, for example the d-analog.


See also

d-Analog, q-Beta Function, q-Binomial Coefficient, q-Binomial Theorem, q-Cosine, q-Derivative, q-Factorial, q-Gamma Function, q-Pochhammer Symbol, q-Series, q-Sine, q-Vandermonde Sum

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References

Andrews, G. E.; Askey, R.; and Roy, R. Special Functions. Cambridge, England: Cambridge University Press, 1999.Exton, H. q-Hypergeometric Functions and Applications. New York: Halstead Press, 1983.Koekoek, R. and Swarttouw, R. F. The Askey-Scheme of Hypergeometric Orthogonal Polynomials and its q-Analogue. Delft, Netherlands: Technische Universiteit Delft, Faculty of Technical Mathematics and Informatics Report 98-17, p. 7, 1998.Koepf, W. Hypergeometric Summation: An Algorithmic Approach to Summation and Special Function Identities. Braunschweig, Germany: Vieweg, p. 26, 1998.

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q-Analog

Cite this as:

Weisstein, Eric W. "q-Analog." From MathWorld--A Wolfram Web Resource. https://mathworld.wolfram.com/q-Analog.html

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