Abstract
We present here more general concepts of Hausdorff derivatives (structural Nabla derivatives) on a timescale. We examine structural Nabla integration on temporal scales. Using the fixed-point theorem, we establish adequate criteria for the question of existence and uniqueness of the solution to an initial value problem characterized by structural Nabla derivatives on timescales. Furthermore, some features of the new operator are proven and illustrated by using concrete examples.
Keywords:
Hausdorff derivative; existence; structural and fractal derivatives; self-similarity; fractional derivatives; timescales; iterative methods MSC:
26E70; 26A33
1. Introduction, Basics and Preliminaries
Fractal calculus and fractional calculus have recently become the most popular topics in both mathematics and engineering for non-differential solutions [1,2,3,4,5,6,7,8,9,10]. As a result, the use of the fractional derivative has seen significant progress and attention in many disciplines of science [6,7,8,9]. Dynamic equations on timescales have been successfully used to unify differential and difference equations [11,12,13,14]. Recently, several results have presented the generalization of fraction derivatives on timescales. Bastos et al. [12] defined a new definition of fractional-order derivative on timescales. In [15], a novel technique and very interesting results with more generalization were obtained (please see [16,17]). In [17], a new useful definition for local fractional derivatives was given, called the conformal fractional derivative, which was subsequently developed by many researchers (see [18,19,20,21]).
The Hausdorff derivative, like the Tsallis derivative and the Jackson derivative, can be considered as a generalization of the well-known Leibniz derivative. Note that the Hausdorff derivative (structural Nabla derivatives) has been associated with non-extensivity in systems presenting fractal aspects. The fractal derivative (Hausdorff derivative) on fractal time is defined by
where is the fractal dimensions of time. A more general definition is given, as in [6,7,8,9], as follows:
where represents the fractal dimensions of space.
This article is organized as follows. We define the structural Nabla derivatives in Definition 4 and structural Nabla integration on timescales in Definition 5, and we study their important properties. This is the first step in this direction. Next, we provide the initial value problem and establish certain minimal requirements to obtain the unique solution for structural Nabla derivative initial value problems on an arbitrary timescale (see Theorems 9 and 10). We end our studies by introducing illustrative examples.
We now state and recall certain basics, tools, and results, which will be helpful subsequently. For this end, let be a closed set in , representing a timescale. We establish the forward- and backward-leap operators,
by
and
respectively. To make it simpler, let us denote
and
and
and
and
Definition 1.
Let , as we say the following:
- If (or ), then t is right-scattered (or left-scattered) and isolated if it is both;
- If (or ), then t is right-dense (or left-dense);
- It , then t is dense.
The graininess and backward-graininess functions can be expressed as and . We note
If is bounded, then we have , with . For , we construct the closed interval,
Definition 2
([13]). A function is called -continuous if it is continuous at left-dense points in and has right-sided limits at right-dense points in ; it is denoted as .
Definition 3
([14]). Let and ; the ∇-derivative of h at t, expressed as , is given to the number (provided that it exists) with the following criterion: if any there exists a neighborhood of t where
We claim that h is considered ∇-differentiable if exists . The function is referred to as the ∇-derivative of h on . We note
Definition 4
(The timescale structural derivative [1]). Suppose that , , and . The number is defined as follows, granted that it exists: for any , there exists a neighborhood of t in which
The structural derivative of h at t (in relation to ϱ and ) is signified with the expression . Moreover, ) develops for any , and we argue that h is structurally differentiable on (or –differentiable).
For instance, in practical applications to handle coarse-grained fractal spaces (fractal porosity), which are discontinuous in compact Euclidean space, and models of continuous hydrodynamic flows (see [18]), we give an example specifying that structural derivatives on timescales make sense. In particular, we treat a function as structurally differentiable on a broad timescale, even when it is not classically differentiable. It is crucial to be able to differentiate between non-smooth functions.
Example 1.
Assume that , and is left-dense in . If , , where , then
But, does not exist.
Theorem 1
([1]). Let , and . Then, the resulting characteristics apply:
- (1)
- If h is continuous at , then h is -differentiable at t with
- (2)
- If , then h is structural differentiable at t if and only if the limitexists and is finite. Thus,
- (3)
- If h is structural differentiable at t then
Lemma 1.
Let and we have the following inequality:
Lemma 2.
Let E be a Banach space and an application admitting to the fixed point, such that there exists and , with
If then the application A has a unique fixed point.
Proof.
Suppose that application A has two fixed points and , such that ; then, and . By inequality (2), we deduce that and . From inequality (3), we have which contradicts.
This completes the proof. □
2. Timescales and Structural Nabla Derivatives
We begin by introducing the notion of structural Nabla derivatives on timescales (for a function given on an arbitrary timescale ).
Definition 5
(The structural Nabla derivative). Assume . We clarify , provided it exists, with the attribute that provided ; there is a neighborhood of t, such that
The is called the structural Nabla derivative of h at t (associated with ϱ and ). On the other hand, h is said to be the structural Nabla differentiable on , provided exists .
Theorem 2.
Assume , and . Then, h is -differentiable if and only if the limit
exists and is finite. Thus,
Proof.
Assuming that h is -differentiable at t, we have that, for any , there exists a neighborhood of t, such as
Setting
by (5), then there is a neighborhood of t, such as
by the last inequality, we obtain , for , and when tends to 0 we have
The proof is now completed. □
Corollary 1.
Let , be assumed. If , p are ∇-differentiable at t, then h is -differentiable at t and
Proof.
We have, by Theorem 2,
The proof is now completed. □
Theorem 3.
Let , . Then, the characteristics enumerated above are valid:
- 1.
- If p are continuous at t and then h is -differentiable at t and
- 2.
- If h is a structural Nabla differentiable at t thenand if p is ∇-differentiable at t then
Proof.
Assuming p are continuous at , then p are ∇-differentiable at t. By Theorem 2, we find that h is -differentiable at t and is given by (7)
If , then and
If , by 2, we have
This completes the proof. □
Theorem 4.
Let be continuous and a structural Nabla differentiable at . Then, we have
- 1.
- For all , the function is a structural differentiable at t with
- 2.
- The product function is a structural differentiable at t where
- 3.
- If then is a structural differentiable at t where
- 4.
- If then is a structural differentiable at t with
Proof.
From Theorem 2, we have
Applying equality (5) of Theorem 2, we have
If h, g are -differentiable at t then by equality (5) of Theorem 2, we obtain
As h is continuous, then
and we have
By equality (5) of Theorem 2, we obtain
by the hypothesis, then
exists and equals . In view of h being -differentiable at t, then
We calculate a quotient formula using 2 and 3:
The proof is now completed. □
Example 2.
Let
and are functions given by
So, h is -differentiable at 1 and is given by
Remark 1.
By Example 2, we deduce that if h is -differentiable at this does not imply that h is continuous at
Theorem 5.
Let , and ϱ is a quotient of odd positive integers. If h is -differentiable on and p is ld-continuous, then h is ld-continuous on .
Proof.
Assuming that h is -differentiable at t, by Definition 2, for , there exists a neighborhood of t, such as (4) holds. We have the next two cases:
- If , we have p is ld-continuous, then p is continuous at t. By Formula (4), we deduce thatwhich implies that h is continuous at
- If , then exist and is equal to l. Since and in (4), we obtainThen, exists. In the end, we find that h is ld-continuous on .
This completes the proof. □
Proposition 1.
Let with a timescale and ; we have
- (1)
- p is -differentiable on and is defined by
- (2)
- If , then is -differentiable on and is defined by
Proof.
By equality (5) of Theorem 2, we obtain
Since for all , then for all , and by item 3 of Theorem 4 we conclude that is -differentiable, and we have
This completes the proof. □
Example 3.
Assume and . Let the functions , and By Theorem 2 we obtain
and
Indeed, by item 3 of Theorem 4 we have
Example 4.
Assume and , such as p is ∇-differentiable on and let functions be given by and ; then, g and h are -differentiable, by Example 3, and we have
and
We will give the relationship between the usual structural Nabla derivative and the structural derivative given in Definition 4.
Theorem 6.
Let be -differentiable on , and if is continuous on then h is - differentiable on where
Proof.
Let be fixed. We will firstly consider the case where t is left-scattered. Since h is a structural differentiable, it is continuous. Then, h is a Nabla structural differentiable at t where
Since , we have
Then,
which gives the desired result.
Let , simultaneously. Here, since the existence of , we have
existing and finite, which is equal to . Since , by the existence of (8), we have existing as a limit. Then,
This completes the proof. □
3. Structural Nabla Integration on Timescales
Now, we introduce the structural Nabla integration on timescales.
Definition 6
(The structural Nabla integration). Let and , such that h is a regulated function and p is ∇-differentiable in . Let ϱ be a quotient of odd positive integers and ; we define the -integrable function on by
Here, is an usual indefinite integral of timescales (see [2]).
Example 5.
Let be a function defined by . Let ϱ be a quotient of odd positive integers, and p is ∇-differentiable in . From Definition 6, we have
Indeed, if we obtain
Theorem 7.
Let and , such that h is a regulated function and p is ∇-differentiable in . Let ϱ be a quotient of odd positive integers. Then,
If we have
Proof.
From Definitions 5 and 6, we obtain
By Corollary 1, we find
If
we obtain (9).
The proof is now completed. □
Theorem 8.
Let and , such that h is a regulated function and p is ∇-differentiable in . Let ϱ be a quotient of odd positive integers and ; then,
Proof.
We pose ; by Definition 5, we have
That is to say,
The proof is now completed. □
4. An Application
Below, we use as a Banach space of all continuous functions from into , where with the norm
Let , where p is ∇-differentiable in and is a quotient of odd positive integers, such as . We consider the following initial value problem:
where is the -differentiable on timescales, and is a left-dense continuous function. Our next aim is to show the minimal requirements to obtain the existence of a unique solution to (10).
Lemma 3.
Let , such that p is ∇-differentiable in , , . The function is the said solution of (10) if and only if it is the solution of the next integral equation:
Proof.
Let x be a solution to problem (10); then,
By Theorem 8, we obtain
Substituting (13) in (7), we find (11).
Conversely, let x be a solution tp problem (11); then, . Moreover, by Corollary 1, we find
This completes the proof. □
Theorem 9.
Proof.
We will convert problem (10) as a fixed-point problem. Let
given by
We show the existence of a fixed point for A defined by (15) by applying Schauder’s fixed-point theorem [11]. There are four steps to this end.
Step We have A is continuous. Let be a sequence, such that in ; then, so that . Since h is uniformly continuous in , then, given , and there is a , if we have
Moreover, for each , we have
Thus, there is a , such that , for all . Hence,
Let
be operators defined by
and
By (16), we deduce that B is continuous. Moreover, by Lemma 1, we conclude that L is continuous. Since
then A is continuous.
Step It is enough to see that so that For each , we have
Step Let ; then,
As , the RHS of the above inequality tends to zero. By Step 1 to Step 3, and owing to the Arzela–Ascoli theorem, we find that
is completely continuous, since , which implies A is completely continuous. Using Schauder’s fixed point theorem, we find that A has a fixed point, which is a solution to (10).
The proof is now completed. □
Theorem 10.
Let ; there exist two functions,
and a constant , such that (14) holds, and
with
Then, problem (10) admits a unique solution to .
Proof.
From Theorem 9, we find that A has a fixed point in . To show that A admits a unique fixed point, it is enough to satisfy the conditions of Lemma 3 on the application A. We mean to show that there is a positive constant r, so that . For , one has
By Lemma 2, for every and , we have
Substituting (17) to obtain
By inequality (18), we deduce that inequality (3) is satisfied. Finally, we deduce that A has a unique fixed point. This fixed point is exactly the unique solution to (10).
The proof is now completed. □
5. An Example
- Let the next initial value problem,Here, , , , , andLetThen, for , and we haveThen, one can deduce thatand . We haveIf then (18) is verified and then all the requirements of Theorem 10 are satisfied, which implies that (19) has a unique solution to .
- Assume , t is left-dense and . By Theorem 2, we obtainIf are ∇-differentiable at point t, we find that
6. Conclusions
We studied in the present article more general properties of structural Nabla derivatives on a timescale. The concept that is being discussed here by “The definition of derivatives and integrals” is a generalization of the structural derivative, which is crucial to understanding experimental outcomes in biomedicine that pertain to the structure of neuro-imaging signal propagation in different parts of the human brain (see [22]). This new structural derivative on timescales has the benefit of being more than just a straightforward mathematical generalization, since it enables us to address significant ideas like self-similarity and indistinguishability that might arise in complex systems.
Author Contributions
Writing—original draft preparation, A.B.C. and B.B.; writing—review and editing, S.G.G., K.B. and T.R.; supervision, K.Z. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The Researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support (QU-APC-2024-9/1).
Conflicts of Interest
The authors declare no conflicts of interest.
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