q-derivative

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In mathematics, in the area of combinatorics and quantum calculus, the q-derivative, or Jackson derivative, is a q-analog of the ordinary derivative, introduced by Frank Hilton Jackson. It is the inverse of Jackson's q-integration. For other forms of q-derivative, see Template:Harvtxt.

Definition

The q-derivative of a function f(x) is defined asTemplate:SfnTemplate:SfnTemplate:Sfn

(ddx)qf(x)=f(qx)f(x)qxx.

It is also often written as Dqf(x). The q-derivative is also known as the Jackson derivative.

Formally, in terms of Lagrange's shift operator in logarithmic variables, it amounts to the operator

Dq=1xqdd(lnx)1q1,

which goes to the plain derivative, Dqddx as q1.

It is manifestly linear,

Dq(f(x)+g(x))=Dqf(x)+Dqg(x).

It has a product rule analogous to the ordinary derivative product rule, with two equivalent forms

Dq(f(x)g(x))=g(x)Dqf(x)+f(qx)Dqg(x)=g(qx)Dqf(x)+f(x)Dqg(x).

Similarly, it satisfies a quotient rule,

Dq(f(x)/g(x))=g(x)Dqf(x)f(x)Dqg(x)g(qx)g(x),g(x)g(qx)0.

There is also a rule similar to the chain rule for ordinary derivatives. Let g(x)=cxk. Then

Dqf(g(x))=Dqk(f)(g(x))Dq(g)(x).

The eigenfunction of the q-derivative is the q-exponential eq(x).

Relationship to ordinary derivatives

Q-differentiation resembles ordinary differentiation, with curious differences. For example, the q-derivative of the monomial is:Template:Sfn

(ddz)qzn=1qn1qzn1=[n]qzn1

where [n]q is the q-bracket of n. Note that limq1[n]q=n so the ordinary derivative is regained in this limit.

The n-th q-derivative of a function may be given as:Template:Sfn

(Dqnf)(0)=f(n)(0)n!(q;q)n(1q)n=f(n)(0)n![n]!q

provided that the ordinary n-th derivative of f exists at x = 0. Here, (q;q)n is the q-Pochhammer symbol, and [n]!q is the q-factorial. If f(x) is analytic we can apply the Taylor formula to the definition of Dq(f(x)) to get

Dq(f(x))=k=0(q1)k(k+1)!xkf(k+1)(x).

A q-analog of the Taylor expansion of a function about zero follows:Template:Sfn

f(z)=n=0f(n)(0)znn!=n=0(Dqnf)(0)zn[n]!q.

Higher order q-derivatives

The following representation for higher order q-derivatives is known:Template:SfnTemplate:Sfn

Dqnf(x)=1(1q)nxnk=0n(1)k(nk)qq(k2)(n1)kf(qkx).

(nk)q is the q-binomial coefficient. By changing the order of summation as r=nk, we obtain the next formula:Template:SfnTemplate:Sfn

Dqnf(x)=(1)nq(n2)(1q)nxnr=0n(1)r(nr)qq(r2)f(qnrx).

Higher order q-derivatives are used to q-Taylor formula and the q-Rodrigues' formula (the formula used to construct q-orthogonal polynomialsTemplate:Sfn).

Generalizations

Post Quantum Calculus

Post quantum calculus is a generalization of the theory of quantum calculus, and it uses the following operator:[1]Template:Sfn

Dp,qf(x):=f(px)f(qx)(pq)x,x0.

Hahn difference

Wolfgang Hahn introduced the following operator (Hahn difference):[2][3]

Dq,ωf(x):=f(qx+ω)f(x)(q1)x+ω,0<q<1,ω>0.

When ω0 this operator reduces to q-derivative, and when q1 it reduces to forward difference. This is a successful tool for constructing families of orthogonal polynomials and investigating some approximation problems.Template:Sfn[4][5]

β-derivative

β-derivative is an operator defined as follows:[6]Template:Sfn

Dβf(t):=f(β(t))f(t)β(t)t,βt,β:II.

In the definition, I is a given interval, and β(t) is any continuous function that strictly monotonically increases (i.e. t>sβ(t)>β(s)). When β(t)=qt then this operator is q-derivative, and when β(t)=qt+ω this operator is Hahn difference.

Applications

The q-calculus has been used in machine learning for designing stochastic activation functions.Template:Sfn

See also

Citations

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Bibliography

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Template:Refend

  1. Gupta V., Rassias T.M., Agrawal P.N., Acu A.M. (2018) Basics of Post-Quantum Calculus. In: Recent Advances in Constructive Approximation Theory. SpringerOptimization and Its Applications, vol 138. Springer.
  2. Hahn, W. (1949). Math. Nachr. 2: 4-34.
  3. Hahn, W. (1983) Monatshefte Math. 95: 19-24.
  4. Kwon, K.; Lee, D.; Park, S.; Yoo, B.: Kyungpook Math. J. 38, 259-281 (1998).
  5. Alvarez-Nodarse, R.: J. Comput. Appl. Math. 196, 320-337 (2006).
  6. Auch, T. (2013): Development and Application of Difference and Fractional Calculus on Discrete Time Scales. PhD thesis, University of Nebraska-Lincoln.