Math 2.0

Difference and functional equations Definition

q-difference equation

Builds on q-derivativeFunction

Definition

Let q∈ℂq \in \C with q≠0q \ne 0 and q≠1q \ne 1, let n≥1n \ge 1, and let U⊆ℂU \subseteq \C be a set with qU⊆UqU \subseteq U. Let FF be a given function of n+2n + 2 complex variables. A qq-difference equation of order nn for an unknown function y ⁣:U→ℂy \colon U \to \C is a condition F(x,y(x),y(qx),…,y(qnx))=0for all x∈U.F\big(x, y(x), y(qx), \dots, y(q^n x)\big) = 0 \quad \text{for all } x \in U. It is linear if it has the form an(x)y(qnx)+⋯+a1(x)y(qx)+a0(x)y(x)=b(x)a_n(x) y(q^n x) + \cdots + a_1(x) y(qx) + a_0(x) y(x) = b(x) with given functions a0,…,an,ba_0, \dots, a_n, b on UU.

Remarks

Example: let 0<∣q∣<10 < \abs{q} < 1 and eq(x)=∑k≥0xk/[k]q!e_q(x) = \sum_{k \ge 0} x^k / [k]_q! for ∣x∣<1/∣1−q∣\abs{x} < 1/\abs{1 - q}, where [k]q=(1−qk)/(1−q)[k]_q = (1 - q^k)/(1 - q) and [k]q!=[1]q⋯[k]q[k]_q! = [1]_q \cdots [k]_q. Since the q-derivative satisfies Dqxk=[k]qxk−1D_q x^k = [k]_q x^{k-1}, one gets Dqeq=eqD_q e_q = e_q. Written out, this is the first-order linear qq-difference equation eq(qx)=(1+(q−1)x)eq(x)e_q(qx) = \big(1 + (q - 1)x\big) e_q(x).

Non-example: y(x+1)=x y(x)y(x + 1) = x\, y(x), satisfied by the gamma function, relates yy at xx and at the translate x+1x + 1. It involves no dilate qjxq^j x, so it is an ordinary difference equation and not a qq-difference equation.

The qq-derivative Dqy(x)=(y(qx)−y(x))/((q−1)x)D_q y(x) = \big(y(qx) - y(x)\big)/\big((q - 1)x\big) lets one rewrite any qq-difference equation in terms of Dq,Dq2,…D_q, D_q^2, \dots, as a qq-analog of a differential equation. Many authors assume ∣q∣≠1\abs{q} \ne 1, or at least that qq is not a root of unity.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Quantum_calculus
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