Advances in Pure Mathematics
Vol.06 No.01(2016), Article ID:62841,5 pages
10.4236/apm.2016.61003
q-Laplace Transform
Shahnaz Taheri*, Maryam Simkhah Asil
Department of Mathematical Science, Alzahra University, Tehran, Iran
Copyright © 2016 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
Received 11 October 2015; accepted 16 January 2016; published 19 January 2016
ABSTRACT
The Fourier transformations are used mainly with respect to the space variables. In certain circumstances, however, for reasons of expedience or necessity, it is desirable to eliminate time as a variable in the problem. This is achieved by means of the Laplace transformation. We specify the particular concepts of the q-Laplace transform. The convolution for these transforms is considered in some detail.
Keywords:
Time Scales, Laplace Transform, Convolution
1. Introduction
The Laplace transform provides an effective method for solving linear differential equations with constant coefficients and certain integral equations. Laplace transforms on time scales, which are intended to unify and to generalize the continuous and discrete cases, were initiated by Hilger [1] and then developed by Peterson and the authors [2] .
2. The q-Laplace Transform
Definition 2.1. A time scale T is an arbtrary nonempty closed subset of the real numbers. Thus the real numbers R, the integers Z, the natural numbers N, the nonnegative integers, and the q-numbers
with fixed
are examples of time scales [2] [3] .
Definition 2.2. Assume is a function and
. Then we define
to be the number with the property that given any
, there is a nighbourhood U (in T) of t such that
We call the delta (or Hilger) derivative of f at t.
is the usual Jakson derivative if
.
Definition 2.3. If is a function, then its q-Laplace transform is defined by
(1)
for those values of,
, for which this series converges, where
.
Let us set
(2)
which is a polynomial in Z of degree. It is easily verified that the equations
(3)
and
(4)
hold, where. The numbers
where, belong to the real axis interval
and tend to zero as
. For any
and
, we set
and
so that is a closed domain of the complex plane C, whose points are in distance not less than
from the set
.
Lemma 2.4. For any,
(5)
Therefore, for an arbitrary number, there exists a positive integer
such that
(6)
In particular,
(7)
Example 2.5. We find the q-Laplace transform of (k is a fixed number). We have in,
Example 2.6. We find the q-Laplace transform of the functions and
.
We have (see [4] ),
On the other hand, we know that
with respect to
The q-Laplace transform of the functions and
, would be
and
respectively.
Theorem 2.7. If the function satisfies the condition
(8)
where c and R are some positive constants, then the series in (1) converges uniformly with respect to z in the region and therefore its sum
is an analytic (holomorphic) function in
.
Proof. By Lemma 2.4, for the number R given in (8) we can choose an such that
Then for the general term of the series in (1), we have the estimate
Hence the proof is completed.
A larger class of functions for which the q-Laplace transform exists is the class of functions
satisfying the condition
(9)
Theorem 2.8. For any, the series in (1) converges uniformly with respect to z in the region
, and therefore its sum
is an analytic function in
.
Proof. By using the reverse (5), hence
and comparison test to get the desired result.
Theorem 2.9. (Initial Value and Final Value Theorem). We have the following:
a) If for some
, then
(10)
b) If for all
, then
(11)
Proof. Assume for some
. It follows from (1) that
(12)
and
(13)
Hence
Multiplying, on both sides of the relation of (12) and by using equivalence relation, which yields (10). Note that we have taken a term-by-term limit due to the uniform convergence (Theorem 2.8) of the series in the region
.
3. Convolutions
Definition 3.1. Let T be a time scale. We define the forward jump operator by
Definition 3.2. For a given function, its shift (or delay)
is defined as the solution of the problem
(14)
Definition 3.3. For given functions, their convolution
is defined by
(15)
where is the shift of f introduced in Definition 3.2 [4] .
Definition 3.4. For given functions, their convolution
is defined by
with, where
.
Theorem 3.5. (Convolution Theorem). Assume that,
, and
exist for a given
. Then at the point z,
(16)
4. Concluding Remarks
1) We can see from Theorem 2.9(a) that no function has its q-Laplace transform equal to the constant function 1.
2) Finally, we note that most of the results concerning the Laplace transform on can be generalized appropriately to an arbitrary isolated time scale
such that
Cite this paper
Maryam SimkhahAsil,ShahnazTaheri, (2016) q-Laplace Transform. Advances in Pure Mathematics,06,16-20. doi: 10.4236/apm.2016.61003
References
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- 2. Bohner, M. and Guseinov, G.Sh. (2007) The Convolution on Time Scales. Abstract and Applied Analysis, 2007, Article. ID: 58373.
http://dx.doi.org/10.1155/2007/58373 - 3. Michel, A.N., Hou, L. and Lio, D. (2007) Stability of Dynamical Systems Continuous, Discontinuous, and Discrete Systems. Boston, Basel, Berlin.
- 4. Bohner, M. and Guseinov, G.Sh. (2010) The h-Laplace and q-Laplace Transforms. Journal of Mathematical Analysis and Applications, 365, 75-92.
http://dx.doi.org/10.1016/j.jmaa.2009.09.061
NOTES
*Corresponding author.