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Q-series

In mathematics, a q-series is defined as

(a,q)_n = \prod_{k=0}^{n-1} (1-aq^k)

usually considered first as a formal power series; it is also an analytic function of q, in the unit disc.

The Euler function is given by

\phi(q)=\prod_{k=1}^\infty (1-q^k)


The coefficient of qk in the Maclaurin series for 1 / φ(q) gives the number of all partitions of k. That is,

\frac{1}{\phi(q)}=\sum_{k=0}^\infty p(k) q^k

where p(k) is the partition function of k.

The Euler identity is

\phi(q)=\sum_{n=-\infty}^\infty (-)^n q^{(3n^2-n)/2}

Note that (3n2 - n) / 2 is a pentagon number.

The Euler function is related to the Dedekind eta function through a Ramanujan identity as

φ(q) = q - 1 / 24η(τ)

where q = eiτ is the square of the nome.

Note that both functions have the symmetry of the modular group. The Euler function also plays a role in describing the interior of the Mandelbrot set.

Contents

Q-analogs

There is a substantial theory constructing q-analogs of results, in particular in combinatorics and the theory of special functions. A q-analog, roughly speaking, is a theorem or identity for a q-series that gives back a known result in the limit, as q → 1, inside the unit circle. For convenience this is written as the limit q → 1, which suggests the limit through real values tending up to 1, which is in fact more restricted, though the difference is not usually significant.

Noticing that

\lim_{q\rightarrow 1^-}\frac{1-q^n}{1-q}=n,

we define the q-analog of n, also known as the q-bracket of n to be

[n]_q=\frac{1-q^n}{1-q}.

From this one can define the q-analog of the factorial, the q-factorial, as

\big[n]_q! =[1]_q! [2]_q! \cdots [n-1]_q! [n]_q!
=\frac{1-q}{1-q} \frac{1-q^2}{1-q} \cdots \frac{1-q^{n-1}}{1-q} \frac{1-q^n}{1-q}
=1(1+q)\cdots (1+q+\cdots + q^{k-2})  (1+q+\cdots + q^{k-1}).

Again, one recovers the usual factorial by taking the limit as q\rightarrow 1^{-1}.

From the q-factorials, one can move on to define the q-binomial coefficients, also known as Gaussian coefficients, Gaussian polynomials, or Gaussian binomials:

\begin{bmatrix} n\\ k \end{bmatrix}_q = \frac{[n]_q!}{[n-k]_q! [k]_q!}.

See also

References

External links

01-04-2007 01:16:19
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