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In q-analog theory, the q {\displaystyle q} -gamma function, or basic gamma function, is a generalization of the ordinary gamma function closely related to the double gamma function. It was introduced by Jackson (1905). It is given by Γ Γ q ( x ) = ( 1 − − q ) 1 − − x ∏ ∏ n = 0 ∞ ∞ 1 − − q n + 1 1 − − q n + x = ( 1 − − q ) 1 − − x ( q ; q ) ∞ ∞ ( q x ; q ) ∞ ∞ {\displaystyle \Gamma _{q}(x)=(1-q)^{1-x}\prod _{n=0}^{\infty }{\frac {1-q^{n+1}}{1-q^{n+x}}}=(1-q)^{1-x}\,{\frac {(q;q)_{\infty }}{(q^{x};q)_{\infty }}}} when | q | < 1 {\displaystyle |q|<1} , and Γ Γ q ( x ) = ( q − − 1 ; q − − 1 ) ∞ ∞ ( q − − x ; q − − 1 ) ∞ ∞ ( q − − 1 ) 1 − − x q ( x 2 ) {\displaystyle \Gamma _{q}(x)={\frac {(q^{-1};q^{-1})_{\infty }}{(q^{-x};q^{-1})_{\infty }}}(q-1)^{1-x}q^{\binom {x}{2}}} if | q | > 1 {\displaystyle |q|>1} . Here ( ⋅ ⋅ ; ⋅ ⋅ ) ∞ ∞ {\displaystyle (\cdot ;\cdot )_{\infty }} is the infinite q {\displaystyle q} -Pochhammer symbol. The q {\displaystyle q} -gamma function satisfies the functional equation Γ Γ q ( x + 1 ) = 1 − − q x 1 − − q Γ Γ q ( x ) = [ x ] q Γ Γ q ( x ) {\displaystyle \Gamma _{q}(x+1)={\frac {1-q^{x}}{1-q}}\Gamma _{q}(x)=[x]_{q}\Gamma _{q}(x)} In addition, the q {\displaystyle q} -gamma function satisfies the q-analog of the Bohr–Mollerup theorem, which was found by Richard Askey (Askey (1978)).

For non-negative integers n {\displaystyle n} , Γ Γ q ( n ) = [ n − − 1 ] q ! {\displaystyle \Gamma _{q}(n)=[n-1]_{q}!} where [ ⋅ ⋅ ] q {\displaystyle [\cdot ]_{q}} is the q {\displaystyle q} -factorial function. Thus the q {\displaystyle q} -gamma function can be considered as an extension of the q {\displaystyle q} -factorial function to the real numbers.

The relation to the ordinary gamma function is made explicit in the limit lim q → → 1 ± ± Γ Γ q ( x ) = Γ Γ ( x ) . {\displaystyle \lim _{q\to 1\pm }\Gamma _{q}(x)=\Gamma (x).} There is a simple proof of this limit by Gosper. See the appendix of (Andrews (1986)).

• Transformation properties

• Integral representation

• Stirling formula

• Raabe-type formulas

• Special values

• Matrix version

• Other q -gamma functions

• Numerical computation

• Further reading

• References

The q {\displaystyle q} -gamma function satisfies the q-analog of the Gauss multiplication formula (Gasper & Rahman (2004)): Γ Γ q ( n x ) Γ Γ r ( 1 / n ) Γ Γ r ( 2 / n ) ⋯ ⋯ Γ Γ r ( ( n − − 1 ) / n ) = ( 1 − − q n 1 − − q ) n x − − 1 Γ Γ r ( x ) Γ Γ r ( x + 1 / n ) ⋯ ⋯ Γ Γ r ( x + ( n − − 1 ) / n ) , r = q n . {\displaystyle \Gamma _{q}(nx)\Gamma _{r}(1/n)\Gamma _{r}(2/n)\cdots \Gamma _{r}((n-1)/n)=\left({\frac {1-q^{n}}{1-q}}\right)^{nx-1}\Gamma _{r}(x)\Gamma _{r}(x+1/n)\cdots \Gamma _{r}(x+(n-1)/n),\ r=q^{n}.}

The q {\displaystyle q} -gamma function has the following integral representation (Ismail (1981)): 1 Γ Γ q ( z ) = sin ⁡ ⁡ ( π π z ) π π ∫ ∫ 0 ∞ ∞ t − − z d t ( − − t ( 1 − − q ) ; q ) ∞ ∞ . {\displaystyle {\frac {1}{\Gamma _{q}(z)}}={\frac {\sin(\pi z)}{\pi }}\int _{0}^{\infty }{\frac {t^{-z}\mathrm {d} t}{(-t(1-q);q)_{\infty }}}.}

Moak obtained the following q-analogue of the Stirling formula (see Moak (1984)): log ⁡ ⁡ Γ Γ q ( x ) ∼ ∼ ( x − − 1 / 2 ) log ⁡ ⁡ [ x ] q + L i 2 ( 1 − − q x ) log ⁡ ⁡ q + C q ^ ^ + 1 2 H ( q − − 1 ) log ⁡ ⁡ q + ∑ ∑ k = 1 ∞ ∞ B 2 k ( 2 k ) ! ( log ⁡ ⁡ q ^ ^ q ^ ^ x − − 1 ) 2 k − − 1 q ^ ^ x p 2 k − − 3 ( q ^ ^ x ) , x → → ∞ ∞ , {\displaystyle \log \Gamma _{q}(x)\sim (x-1/2)\log[x]_{q}+{\frac {\mathrm {Li} _{2}(1-q^{x})}{\log q}}+C_{\hat {q}}+{\frac {1}{2}}H(q-1)\log q+\sum _{k=1}^{\infty }{\frac {B_{2k}}{(2k)!}}\left({\frac {\log {\hat {q}}}{{\hat {q}}^{x}-1}}\right)^{2k-1}{\hat {q}}^{x}p_{2k-3}({\hat {q}}^{x}),\ x\to \infty ,} q ^ ^ = { q i f 0 < q ≤ ≤ 1 1 / q i f q ≥ ≥ 1 } , {\displaystyle {\hat {q}}=\left\{{\begin{aligned}q\quad \mathrm {if} \ &0<q\leq 1\\1/q\quad \mathrm {if} \ &q\geq 1\end{aligned}}\right\},} C q = 1 2 log ⁡ ⁡ ( 2 π π ) + 1 2 log ⁡ ⁡ ( q − − 1 log ⁡ ⁡ q ) − − 1 24 log ⁡ ⁡ q + log ⁡ ⁡ ∑ ∑ m = − − ∞ ∞ ∞ ∞ ( r m ( 6 m + 1 ) − − r ( 3 m + 1 ) ( 2 m + 1 ) ) , {\displaystyle C_{q}={\frac {1}{2}}\log(2\pi )+{\frac {1}{2}}\log \left({\frac {q-1}{\log q}}\right)-{\frac {1}{24}}\log q+\log \sum _{m=-\infty }^{\infty }\left(r^{m(6m+1)}-r^{(3m+1)(2m+1)}\right),} where r = exp ⁡ ⁡ ( 4 π π 2 / log ⁡ ⁡ q ) {\displaystyle r=\exp(4\pi ^{2}/\log q)} , H {\displaystyle H} denotes the Heaviside step function, B k {\displaystyle B_{k}} stands for the Bernoulli number, L i 2 ( z ) {\displaystyle \mathrm {Li} _{2}(z)} is the dilogarithm, and p k {\displaystyle p_{k}} is a polynomial of degree k {\displaystyle k} satisfying p k ( z ) = z ( 1 − − z ) p k − − 1 ′ ( z ) + ( k z + 1 ) p k − − 1 ( z ) , p 0 = p − − 1 = 1 , k = 1 , 2 , ⋯ ⋯ . {\displaystyle p_{k}(z)=z(1-z)p'_{k-1}(z)+(kz+1)p_{k-1}(z),p_{0}=p_{-1}=1,k=1,2,\cdots .}

Due to I. Mező, the q-analogue of the Raabe formula exists, at least if we use the q {\displaystyle q} -gamma function when | q | > 1 {\displaystyle |q|>1} . With this restriction, ∫ ∫ 0 1 log ⁡ ⁡ Γ Γ q ( x ) d x = ζ ζ ( 2 ) log ⁡ ⁡ q + log ⁡ ⁡ q − − 1 q 6 + log ⁡ ⁡ ( q − − 1 ; q − − 1 ) ∞ ∞ ( q > 1 ) . {\displaystyle \int _{0}^{1}\log \Gamma _{q}(x)dx={\frac {\zeta (2)}{\log q}}+\log {\sqrt {\frac {q-1}{\sqrt[{6}]{q}}}}+\log(q^{-1};q^{-1})_{\infty }\quad (q>1).} El Bachraoui considered the case 0 < q < 1 {\displaystyle 0<q<1} and proved that ∫ ∫ 0 1 log ⁡ ⁡ Γ Γ q ( x ) d x = 1 2 log ⁡ ⁡ ( 1 − − q ) − − ζ ζ ( 2 ) log ⁡ ⁡ q + log ⁡ ⁡ ( q ; q ) ∞ ∞ ( 0 < q < 1 ) . {\displaystyle \int _{0}^{1}\log \Gamma _{q}(x)dx={\frac {1}{2}}\log(1-q)-{\frac {\zeta (2)}{\log q}}+\log(q;q)_{\infty }\quad (0<q<1).}

The following special values are known.cite-ref-1[1] Γ Γ e − − π π ( 1 2 ) = e − − 7 π π / 16 e π π − − 1 1 + 2 4 2 15 / 16 π π 3 / 4 Γ Γ ( 1 4 ) , {\displaystyle \Gamma _{e^{-\pi }}\left({\frac {1}{2}}\right)={\frac {e^{-7\pi /16}{\sqrt {e^{\pi }-1}}{\sqrt[{4}]{1+{\sqrt {2}}}}}{2^{15/16}\pi ^{3/4}}}\,\Gamma \left({\frac {1}{4}}\right),} Γ Γ e − − 2 π π ( 1 2 ) = e − − 7 π π / 8 e 2 π π − − 1 2 9 / 8 π π 3 / 4 Γ Γ ( 1 4 ) , {\displaystyle \Gamma _{e^{-2\pi }}\left({\frac {1}{2}}\right)={\frac {e^{-7\pi /8}{\sqrt {e^{2\pi }-1}}}{2^{9/8}\pi ^{3/4}}}\,\Gamma \left({\frac {1}{4}}\right),} Γ Γ e − − 4 π π ( 1 2 ) = e − − 7 π π / 4 e 4 π π − − 1 2 7 / 4 π π 3 / 4 Γ Γ ( 1 4 ) , {\displaystyle \Gamma _{e^{-4\pi }}\left({\frac {1}{2}}\right)={\frac {e^{-7\pi /4}{\sqrt {e^{4\pi }-1}}}{2^{7/4}\pi ^{3/4}}}\,\Gamma \left({\frac {1}{4}}\right),} Γ Γ e − − 8 π π ( 1 2 ) = e − − 7 π π / 2 e 8 π π − − 1 2 9 / 4 π π 3 / 4 1 + 2 Γ Γ ( 1 4 ) . {\displaystyle \Gamma _{e^{-8\pi }}\left({\frac {1}{2}}\right)={\frac {e^{-7\pi /2}{\sqrt {e^{8\pi }-1}}}{2^{9/4}\pi ^{3/4}{\sqrt {1+{\sqrt {2}}}}}}\,\Gamma \left({\frac {1}{4}}\right).} These are the analogues of the classical formula Γ Γ ( 1 2 ) = π π {\displaystyle \Gamma \left({\frac {1}{2}}\right)={\sqrt {\pi }}} .

Moreover, the following analogues of the familiar identity Γ Γ ( 1 4 ) Γ Γ ( 3 4 ) = 2 π π {\displaystyle \Gamma \left({\frac {1}{4}}\right)\Gamma \left({\frac {3}{4}}\right)={\sqrt {2}}\pi } hold true: Γ Γ e − − 2 π π ( 1 4 ) Γ Γ e − − 2 π π ( 3 4 ) = e − − 29 π π / 16 ( e 2 π π − − 1 ) 1 + 2 4 2 33 / 16 π π 3 / 2 Γ Γ ( 1 4 ) 2 , {\displaystyle \Gamma _{e^{-2\pi }}\left({\frac {1}{4}}\right)\Gamma _{e^{-2\pi }}\left({\frac {3}{4}}\right)={\frac {e^{-29\pi /16}\left(e^{2\pi }-1\right){\sqrt[{4}]{1+{\sqrt {2}}}}}{2^{33/16}\pi ^{3/2}}}\,\Gamma \left({\frac {1}{4}}\right)^{2},} Γ Γ e − − 4 π π ( 1 4 ) Γ Γ e − − 4 π π ( 3 4 ) = e − − 29 π π / 8 ( e 4 π π − − 1 ) 2 23 / 8 π π 3 / 2 Γ Γ ( 1 4 ) 2 , {\displaystyle \Gamma _{e^{-4\pi }}\left({\frac {1}{4}}\right)\Gamma _{e^{-4\pi }}\left({\frac {3}{4}}\right)={\frac {e^{-29\pi /8}\left(e^{4\pi }-1\right)}{2^{23/8}\pi ^{3/2}}}\,\Gamma \left({\frac {1}{4}}\right)^{2},} Γ Γ e − − 8 π π ( 1 4 ) Γ Γ e − − 8 π π ( 3 4 ) = e − − 29 π π / 4 ( e 8 π π − − 1 ) 16 π π 3 / 2 1 + 2 Γ Γ ( 1 4 ) 2 . {\displaystyle \Gamma _{e^{-8\pi }}\left({\frac {1}{4}}\right)\Gamma _{e^{-8\pi }}\left({\frac {3}{4}}\right)={\frac {e^{-29\pi /4}\left(e^{8\pi }-1\right)}{16\pi ^{3/2}{\sqrt {1+{\sqrt {2}}}}}}\,\Gamma \left({\frac {1}{4}}\right)^{2}.}

Let A {\displaystyle A} be a complex square matrix and positive-definite matrix. Then a q {\displaystyle q} -gamma matrix function can be defined by q {\displaystyle q} -integral:cite-ref-2[2] Γ Γ q ( A ) := ∫ ∫ 0 1 1 − − q t A − − I E q ( − − q t ) d q t {\displaystyle \Gamma _{q}(A):=\int _{0}^{\frac {1}{1-q}}t^{A-I}E_{q}(-qt)\mathrm {d} _{q}t} where E q {\displaystyle E_{q}} is the q-exponential function.

For other q {\displaystyle q} -gamma functions, see Yamasaki 2006.cite-ref-3[3]

An iterative algorithm to compute the q-gamma function was proposed by Gabutti and Allasia.cite-ref-4[4]

• citerefzhang2007Zhang, Ruiming (2007), "On asymptotics of q-gamma functions", Journal of Mathematical Analysis and Applications, 339 (2): 1313–1321, arXiv:0705.2802, Bibcode:2008JMAA..339.1313Z, doi:10.1016/j.jmaa.2007.08.006, S2CID 115163047

• citerefzhang2010Zhang, Ruiming (2010), "On asymptotics of Γq(z) as q approaching 1", arXiv:1011.0720 [math.CA]

• citerefismailmuldoon1994Ismail, Mourad E. H.; Muldoon, Martin E. (1994), "Inequalities and monotonicity properties for gamma and q-gamma functions", in Zahar, R. V. M. (ed.), Approximation and computation a festschrift in honor of Walter Gautschi: Proceedings of the Purdue conference, December 2-5, 1993, vol. 119, Boston: Birkhäuser Verlag, pp. 309–323, arXiv:1301.1749, doi:10.1007/978-1-4684-7415-2_19, ISBN 978-1-4684-7415-2, S2CID 118563435

cite-note-11. ↑ citerefmez-2011Mező, István (2011), "Several special values of Jacobi theta functions", arXiv:1106.1042 [math.NT]

cite-note-22. ↑ citerefsalem2012Salem, Ahmed (June 2012). "On a q-gamma and a q-beta matrix functions". Linear and Multilinear Algebra. 60 (6): 683–696. doi:10.1080/03081087.2011.627562. S2CID 123011613.

cite-note-33. ↑ citerefyamasaki2006Yamasaki, Yoshinori (December 2006). "On q-Analogues of the Barnes Multiple Zeta Functions". Tokyo Journal of Mathematics. 29 (2): 413–427. arXiv:math/0412067. doi:10.3836/tjm/1170348176. MR 2284981. S2CID 14082358. Zbl 1192.11060.

cite-note-44. ↑ citerefgabuttiallasia2008Gabutti, Bruno; Allasia, Giampietro (17 September 2008). "Evaluation of q-gamma function and q-analogues by iterative algorithms". Numerical Algorithms. 49 (1–4): 159–168. Bibcode:2008NuAlg..49..159G. doi:10.1007/s11075-008-9196-5. S2CID 6314057.

• citerefjackson1905Jackson, F. H. (1905), "The Basic Gamma-Function and the Elliptic Functions", Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character, 76 (508), The Royal Society: 127–144, Bibcode:1905RSPSA..76..127J, doi:10.1098/rspa.1905.0011, ISSN 0950-1207, JSTOR 92601

• citerefgasperrahman2004Gasper, George; Rahman, Mizan (2004), Basic hypergeometric series, Encyclopedia of Mathematics and its Applications, vol. 96 (2nd ed.), Cambridge University Press, ISBN 978-0-521-83357-8, MR 2128719

• citerefismail1981Ismail, Mourad (1981), "The Basic Bessel Functions and Polynomials", SIAM Journal on Mathematical Analysis, 12 (3): 454–468, doi:10.1137/0512038

• citerefmoak1984Moak, Daniel S. (1984), "The Q-analogue of Stirling's formula", Rocky Mountain J. Math., 14 (2): 403–414, doi:10.1216/RMJ-1984-14-2-403

• citerefmez-2012Mező, István (2012), "A q-Raabe formula and an integral of the fourth Jacobi theta function", Journal of Number Theory, 133 (2): 692–704, doi:10.1016/j.jnt.2012.08.025, hdl:2437/166217

• citerefel-bachraoui2017El Bachraoui, Mohamed (2017), "Short proofs for q-Raabe formula and integrals for Jacobi theta functions", Journal of Number Theory, 173 (2): 614–620, doi:10.1016/j.jnt.2016.09.028

• citerefaskey1978Askey, Richard (1978), "The q-gamma and q-beta functions.", Applicable Analysis, 8 (2): 125–141, doi:10.1080/00036817808839221

• citerefandrews1986Andrews, George E. (1986), q-Series: Their development and application in analysis, number theory, combinatorics, physics, and computer algebra., Regional Conference Series in Mathematics, vol. 66, American Mathematical Society