Abstract

Monotonicity analysis of delta fractional sums and differences of order υ∈(0,1] on the time scale hZ are presented in this study. For this analysis, two models of discrete fractional calculus, Riemann–Liouville and Caputo, are considered. There is a relationship between the delta Riemann–Liouville fractional h-difference and delta Caputo fractional h-differences, which we find in this study. Therefore, after we solve one, we can apply the same method to the other one due to their correlation. We show that y(z) is υ-increasing on Ma+υh,h, where the delta Riemann–Liouville fractional h-difference of order υ of a function y(z) starting at a+υh is greater or equal to zero, and then, we can show that y(z) is υ-increasing on Ma+υh,h, where the delta Caputo fractional h-difference of order υ of a function y(z) starting at a+υh is greater or equal to −1Γ(1−υ)(z−(a+υh))h(−υ)y(a+υh) for each z∈Ma+h,h. Conversely, if y(a+υh) is greater or equal to zero and y(z) is increasing on Ma+υh,h, we show that the delta Riemann–Liouville fractional h-difference of order υ of a function y(z) starting at a+υh is greater or equal to zero, and consequently, we can show that the delta Caputo fractional h-difference of order υ of a function y(z) starting at a+υh is greater or equal to −1Γ(1−υ)(z−(a+υh))h(−υ)y(a+υh) on Ma,h. Furthermore, we consider some related results for strictly increasing, decreasing, and strictly decreasing cases. Finally, the fractional forward difference initial value problems and their solutions are investigated to test the mean value theorem on the time scale hZ utilizing the monotonicity results.

Highlights

  • Ma+υh,h, we show that the delta Riemann–Liouville fractional h-difference of order υ of a function y(z) starting at a + υh is greater or equal to zero, and we can show that the delta

  • The aim of this study is to investigate the υ-monotonicity analysis on h-discrete delta fractional models in the sense of Riemann–Liouville (RL) and Caputo fractional operators on the time scale h Z

  • Monotonicity analysis of discrete functions defined on M01 was originally introduced in [27], and there is extensive literature on monotonicity analysis techniques and its extensions on Ma,h ; for example, see [22,23,26]

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Summary

Introduction

Fractional differentiation and integration have opened many new doors for researchers in recent decades due to their wide and novel applicability in many fields of science including mathematical analysis, technology, and engineering (see [1,2,3,4,5,6,7]). Using the fixed-point technique, some researchers provided the conditions under which differential and integral equations have unique solutions. Some others provided numerical schemes that could be used to solve numerically differential and integral equations with fractional order. Fractional differentiation and integration found application in image processing, where the fractional kernel is used to remove noise in a given image

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