Next Article in Journal
Notes on Convergence Results for Parabolic Equations with Riemann–Liouville Derivatives
Next Article in Special Issue
Inverse Problem to Determine Two Time-Dependent Source Factors of Fractional Diffusion-Wave Equations from Final Data and Simultaneous Reconstruction of Location and Time History of a Point Source
Previous Article in Journal
Convergence of Neural Networks with a Class of Real Memristors with Rectifying Characteristics
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

On a Lyapunov-Type Inequality for Control of a ψ-Model Thermostat and the Existence of Its Solutions

1
Department of Mathematics, Azarbaijan Shahid Madani University, Tabriz 3751-71379, Iran
2
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 40402, Taiwan
3
Department of Mathematics, Texas A&M University-Kingsville, Kingsville, TX 78363, USA
4
Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
*
Author to whom correspondence should be addressed.
Mathematics 2022, 10(21), 4023; https://doi.org/10.3390/math10214023
Submission received: 18 September 2022 / Revised: 24 October 2022 / Accepted: 27 October 2022 / Published: 30 October 2022

Abstract

:
In this paper, a new structure of an applied model of thermostat is defined using the generalized ψ -operators with three-point boundary conditions. Some useful properties of the relevant Green’s function are established, and based on these properties, the Lyapunov-type inequality is constructed for the given extended ψ -model thermostat with the help of Jensen’s inequality. By defining mild solutions for such an extended system, the existence and non-existence conditions are discussed.

1. Introduction

Inequalities in their various forms play a vital role in mathematics. In particular, their effective operation can be seen in ordinary and partial differential equations (ODEs and PDEs) that lead to various standard formulas in different applications. In this direction, in recent years, mathematicians have introduced many important inequalities by considering various assumptions on the given functions and using operators with singular and non-singular kernels. One of the most famous of these inequalities is the Lyapunov inequality. To investigate the spectral properties of ODEs, the inequality of the Lyapuov type is a helpful tool [1,2,3]. Moreover, eigenvalue problems, disconjugacy, and oscillation theory are other fields in which this type of inequality is useful [4].
As a starting point in this area, Lyapunov [5] formulated the Lyapunov inequality for a second-order boundary value problem (BVP) for the first time. In fact, by assuming the existence of a non-trivial solution for the following linear BVP,
v ( s ) + ψ ( s ) v ( s ) = 0 , s ( m , n ) , v ( m ) = v ( n ) = 0 ,
Lyapunov derived an inequality as
m n | ψ ( q ) | d q > 4 n m , m , n R ,
so that ψ is a continuous function on [ m , n ] with real values. After that, some researchers such as Yang et al. [6] and Agarwal et al. [7] extended this inequality to higher-order systems. The investigation of Lyapunov inequalities was initiated in the context of standard integer-order ODEs, and then other generalized versions of it were introduced by defining fractional operators. One can consider the first conducted research on the fractional type of the Lyapunov inequality in a paper from Ferreira [8]. In fact, Ferreira extended the linear BVP (1) to a fractional BVP with the Riemann–Liouville derivative given by
D m p v ( s ) + ψ ( s ) v ( s ) = 0 , s ( m , n ) , v ( m ) = v ( n ) = 0 ,
with 1 < p 2 and established the following inequality:
m n | ψ ( q ) | d q > Γ ( p ) 4 n m p 1 , m , n R ,
where Γ ( s ) = 0 t s 1 e t d t is the Gamma function.
One year later, Ferreira [9], in another research, conducted a similar analysis with the Caputo fractional derivative and obtained the following inequality:
m n | ψ ( q ) | d q > p p Γ ( p ) ( p 1 ) p 1 ( n m ) p 1 , m , n R .
Due to the importance of such inequalities in different applied areas, various versions of Lyapunov-type inequalities have been obtained by some other researchers. For instance, Jleli et al. [10] studied the corresponding inequality with the help of q-difference operators. Additionally, Ma and Han [11] implemented a similar study with q-operators on the Schrodinger equation with Woods–Saxon potential. In 2018, Pathak [12] generalized Lyapunov-type inequality when the derivative of the given BVP is of the Hilfer type. For more details, see [13,14,15,16].
By developing practical concepts in the theory of fractional calculus, mathematicians became eager to design various mathematical models with the help of various mathematical tools such as mathematical operators with singular or non-singular kernels. The power of simulation and analysis of fractional and fractal-fractional operators compared to classical operators has caused us to see the publication of various articles in the field of modeling phenomena every day. For instances about the analytical and numerical studies, the readers can find new advanced models via fractional and fractal-fractional operators, such as [17,18,19,20,21,22,23,24,25,26,27,28,29].
In 2006, a second-order model of thermostat was formulated by Infante and Webb [30], which is insulated at s = 0 under the controller at s = 1 , and it has the following formulation:
v ( s ) = φ ( s , v ( s ) ) , ( s I : = [ 0 , 1 ] ) , v ( 0 ) = 0 , v ( p ) + μ v ( 1 ) = 0 ,
with the real constant p I and parameter μ > 0 , and continuous nonlinear function φ : I × R R . By the structure of such a second-order model, the addition or discharging of heat under the performance of a thermostat depends on the temperature assessed by the sensor at s = p . From the mathematical point of view, Infante and his colleague continued their study on the existence results using fixed-point index theory in the context of integral Hammerstein equations. Further, Nieto and his colleague Pimentel [31] discussed and turned to analysis on the properties of existence for solutions of the fractional version of BVP (3) by substituting fractional derivatives of order q instead of classical derivative, in which q ( 1 , 2 ] stands for the order of the Caputo fractional derivative. Some years later, Cabrera, Rocha and Sadarangani [32] presented some new structures of Lyapunov-type inequalities in relation to the aforemantioned fractional thermostat BVP under nonlocal boundary conditions.
In this paper, we focus on this target in which a Lyapunov-type inequality is obtained for a generalized fractional model of thermostat control involving generalized ψ -operators given by
c D ψ ; q v ( s ) = K ( s , v ( s ) ) , ( s I : = [ a 1 , a 2 ] , a 1 , a 2 R ) , c D ψ ; 1 v ( a 1 ) = 0 , v ( p ) + μ c D ψ ; q 1 v ( a 2 ) = 0 ,
with some hypotheses such as q ( 1 , 2 ] , p ( a 1 , a 2 ) , μ > 0 , and c D ψ ; 1 = 1 ψ ( s ) d d s , which is the same generalized ψ -Caputo derivative of order one. Along with these, the given function K : I × R R is continuous, and c D ψ ; γ denotes the generalized ψ -Caputo fractional derivative of order γ { 1 , q , q 1 } . It is natural that by assuming ψ ( s ) = s and q = 2 and [ a 1 , a 2 ] = [ 0 , 1 ] , the fractional ψ -model of thermostat control (4) reduces to the standard second-order model (3) of thermostat control.
In the present study, we concentrate on the establishment of the Lyapunov-type inequality for a new extended ψ -model of thermostat with generalized ψ -operators. As far as we know, the Lyapunov-type inequality for this version of thermostat ψ -model has seldom been studied up to now. Additionally, some required conditions guaranteeing the existence and non-existence of solutions are investigated in the sequel via some established properties of the relevant Green’s function. The insights of the present manuscript can be specified as follows. First, we provide several properties of fractional ψ -integrals and derivatives (Section 2). Then, we obtain the Green’s function and investigate some important properties of it (Section 3). By considering the concavity and increasing properties of some functions, the Lyapunov-type inequality is constructed for the ψ -thermostat model (4) (Section 4). After that, non-existence and existence theorems are stated for our applied ψ -model of thermostat (Section 5). Finally, the conclusion section is provided (Section 6).

2. Basic Notions

In this section, we state and recall some basic and fundamental notations and definitions, which will be used later. Let [ a 1 , a 2 ] ( 0 < a 1 < a 2 < ) be an interval and ψ : [ a 1 , a 2 ] R be a function such that ψ ( s ) > 0 for every s [ a 1 , a 2 ] . Now, by these assumptions, we provide some properties from ψ -fractional calculus.
Definition 1 
([33]). Let q > 0 . The ψ-RL-fractional integral (Riemann–Liouville) of order q for an integrable function v : [ a 1 , a 2 ] R with respect to the function ψ : [ a 1 , a 2 ] R is defined by
I a 1 + ψ ; q v ( s ) = 1 Γ ( q ) a 1 s ψ ( r ) ( ψ ( s ) ψ ( r ) ) q 1 v ( r ) dr ,
with Γ ( · ) as the Gamma function given by
Γ ( q ) = 0 + e r r q 1 dr , q > 0 .
Definition 2 
([34]). Let n N and ψ , v C n ( [ a 1 , a 2 ] , R ) , where ψ is introduced above. The ψ-Caputo fractional derivative of order q for the function v is defined by
c D a 1 + ψ ; q v ( s ) = I a 1 + ψ ; n q 1 ψ ( s ) d d s n v ( s ) ,
with n = [ q ] + 1 for q N and n = q for q N , where [ q ] denotes the largest integer less than or equal to q.
To simplify in writing, the abbreviated symbol
v ψ [ n ] ( s ) = 1 ψ ( s ) d d s n v ( s ) ,
can be used. By definition,
c D a 1 + ψ ; q v ( s ) = a 1 s ψ ( r ) ( ψ ( s ) ψ ( r ) ) n q 1 Γ ( n q ) v ψ [ n ] ( r ) dr , q N , v ψ [ n ] ( s ) , q = n N .
This extension (7) gives the Caputo fractional derivative if ψ ( s ) = s . For ψ ( s ) = ln s , the Caputo–Hadamard fractional derivative is obtained.
Next, we provide a property in relation to the composition of the generalzied fractional ψ -derivatives with ψ -integrals.
Lemma 1 
([35]). Let n N , n 1 < q < n , and v C n ( [ a 1 , a 2 ] , R ) . Then, the following relation holds:
I a 1 + ψ ; q c D a 1 + ψ ; q v ( s ) = v ( s ) j = 0 n 1 v ψ [ j ] ( a 1 ) j ! ψ ( s ) ψ ( a 1 ) j ,
for all s [ a 1 , a 2 ] . Furthermore, for m N and v C n + m ( [ a 1 , a 2 ] , R ) , we have
1 ψ ( s ) d d s m c D a 1 + ψ ; q v ( s ) = c D a 1 + ψ ; q + m v ( s ) + j = 0 m 1 [ ψ ( s ) ψ ( a 1 ) ] j + n q m Γ ( j + n q m + 1 ) v ψ [ j + n ] ( a 1 ) .
Lemma 2 
([33,35]). Let q , p > 0 , and v C ( [ a 1 , a 2 ] , R ) . Then, for each s [ a 1 , a 2 ] , we have
1. 
I a 1 + ψ ; q I a 1 + ψ ; p v ( s ) = I a 1 + ψ ; q + p v ( s ) ,
2. 
c D a 1 + ψ ; q I a 1 + ψ ; q v ( s ) = v ( s ) ,
3. 
I a 1 + ψ ; q ( ψ ( s ) ψ ( a 1 ) ) p 1 = Γ ( p ) Γ ( p + q ) ( ψ ( s ) ψ ( a 1 ) ) p + q 1 ,
4. 
c D a 1 + ψ ; q ( ψ ( s ) ψ ( a 1 ) ) p 1 = Γ ( p ) Γ ( p q ) ( ψ ( s ) ψ ( a 1 ) ) p q 1 ,
5. 
c D a 1 + ψ ; q ( ψ ( s ) ψ ( a 1 ) ) j = 0 , j { 0 , , n 1 } , n N , n 1 < q < n .
Lemma 3 
([36]). (Jensen’s inequality) Assume that μ is a positive measure and B is a measurable set such that μ ( B ) = 1 . If K L 1 ( μ ) is a real-valued function and for each x B , a < K ( x ) < b , and ϕ is a real-valued convex function on ( a , b ) , then
ϕ B K d μ B ( ϕ K ) d μ .
For K with the concavity property on ( a , b ) , (8) is satisfied with ≥ instead of ≤.

3. Green’s Function

Green’s function plays a fundamental role in the theory of integral equations [37,38,39]. Here, we discuss some properties of the relevant Green’s function in the thermostat ψ -model.
Proposition 1. 
Let q ( 1 , 2 ] , p ( a 1 , a 2 ) , μ > 0 and A C R ( I ) , where C R ( I ) denotes the family of all continuous real-valued functions on the interval I . A function v C R ( I ) is a solution for the linear thermostat ψ-model
c D ψ ; q v ( s ) = A ( s ) , ( s I : = [ a 1 , a 2 ] ) , c D ψ ; 1 v ( a 1 ) = 0 , v ( p ) + μ c D ψ ; q 1 v ( a 2 ) = 0 ,
which is given by the integral equation
v ( s ) = a 1 s ψ ( r ) ( ψ ( s ) ψ ( r ) ) q 1 Γ ( q ) A ( r ) d r + a 1 p ψ ( r ) ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) A ( r ) d r + μ a 1 a 2 ψ ( r ) A ( r ) d r .
Proof. 
If v satisfies the linear ψ -thermostat Equation (9), then c D ψ ; q v ( s ) = A ( s ) . As 1 < q 2 , by integrating, it becomes
v ( s ) = 1 Γ ( q ) a 1 s ψ ( r ) ( ψ ( s ) ψ ( r ) ) q 1 A ( r ) d r + c 0 + c 1 ( ψ ( s ) ψ ( a 1 ) ) ,
where we need to find values of the coefficients c 0 , c 1 R . Moreover, the properties of the ψ -Caputo fractional derivative give
c D ψ ; 1 v ( s ) = 1 Γ ( q 1 ) a 1 s ψ ( r ) ( ψ ( s ) ψ ( r ) ) q 2 A ( r ) d r + c 1 ,
and for 0 < q 1 1 , we obtain
c D ψ ; q 1 v ( s ) = a 1 s ψ ( r ) A ( r ) d r + c 1 ( ψ ( s ) ψ ( a 1 ) ) 2 q Γ ( 3 q ) .
By the condition c D ψ ; 1 v ( a 1 ) = 0 and (12), we obtain c 1 = 0 . Moreover, the Equations (11) and (13) and the condition v ( p ) + μ c D ψ ; q 1 v ( a 2 ) = 0 imply that
1 Γ ( q ) a 1 p ψ ( r ) ( ψ ( p ) ψ ( r ) ) q 1 A ( r ) d r + c 0 μ a 1 a 2 ψ ( r ) A ( r ) d r = 0 ,
and thus, we have
c 0 = 1 Γ ( q ) a 1 p ψ ( r ) ( ψ ( p ) ψ ( r ) ) q 1 A ( r ) d r + μ a 1 a 2 ψ ( r ) A ( r ) d r .
Finally, if we substitute the obtained coefficients c 0 and c 1 in (11), then the proof is completed. □
Remark 1. 
Note that one can rewrite (10) by means of Green’s function as
v ( s ) = a 1 a 2 G ψ ( s , r ) ψ ( r ) A ( r ) d r ,
where
G ψ ( s , r ) = ( ψ ( s ) ψ ( r ) ) q 1 Γ ( q ) + ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) + μ , a 1 r min { p , s } ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) + μ , a 1 s r p , ( ψ ( s ) ψ ( r ) ) q 1 Γ ( q ) + μ , p r s a 2 , μ , max { p , s } r a 2 .
Proposition 2. 
For Green’s function given by (15), we have
(i) 
min a 1 r , s a 2 G ψ ( s , r ) = ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) + μ .
(ii) 
max a 1 r , s a 2 G ψ ( s , r ) = μ + ( ψ ( p ) ψ ( a 1 ) ) q 1 Γ ( q ) .
Proof. 
We have
G ψ ( s , r ) s ( q 1 ) ψ ( s ) ( ψ ( s ) ψ ( r ) ) q 2 Γ ( q ) , a 1 r s a 2 , 0 , a 1 s r a 2 .
This shows that G ψ ( s , r ) is a non-increasing function with respect to the first variable s.
(i). From the above result, we deduce that
min a 1 s a 2 G ψ ( s , r ) = G ψ ( a 2 , r ) = ( ψ ( a 2 ) ψ ( r ) ) q 1 Γ ( q ) + ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) + μ , for a 1 r p ( ψ ( a 2 ) ψ ( r ) ) q 1 Γ ( q ) + μ , for p r a 2 .
Using the fact that a x b x ( a b ) x for any a b 0 and x ( 0 , 1 ] , we have
0 ( ψ ( a 2 ) ψ ( r ) ) q 1 ( ψ ( p ) ψ ( r ) ) q 1 ( ψ ( a 2 ) ψ ( p ) ) q 1 ,
for each a 1 r p . This leads to
G ψ ( a 2 , r ) = ( ψ ( a 2 ) ψ ( r ) ) q 1 Γ ( q ) + ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) + μ ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) + μ ,
for each a 1 r p . On the other hand, we can easily see that
min p r a 2 G ψ ( a 2 , r ) = G ψ ( a 2 , p ) = ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) + μ .
Combining two last inequalities yield that
min a 1 r a 2 G ψ ( a 2 , r ) = ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) + μ .
Using (16) and the latter inequality, we obtain
min a 1 r , s a 2 G ψ ( s , r ) = ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) + μ .
(ii). We have
max a 1 s a 2 G ψ ( s , r ) = G ψ ( a 1 , r ) = ( ψ ( p ) ψ ( r ) ) q 1 Γ ( q ) + μ , for a 1 r p , μ , for p r a 2 .
It is obvious that
max a 1 r p G ψ ( a 1 , r ) = G ψ ( a 1 , a 1 ) = ( ψ ( p ) ψ ( a 1 ) ) q 1 Γ ( q ) + μ > μ .
Combining the latter inequality and (17), we obtain
max a 1 r , s a 2 G ψ ( s , r ) = ( ψ ( p ) ψ ( a 1 ) ) q 1 Γ ( q ) + μ .
The proof of Proposition 2 is completed. □
Remark 2. 
Since ψ is a non-decreasing function, from Proposition 2, we have
max a 1 r , s a 2 | G ψ ( s , r ) | = max μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 Γ ( q ) , ( ψ ( a 2 ) ψ ( p ) ) q 1 μ Γ ( q ) Γ ( q ) .
Moreover, if μ ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) , then
max a 1 r , s a 2 | G ψ ( s , r ) | = μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 Γ ( q ) .
Proposition 3. 
For Green’s function given by (15), the following inequality holds:
a 1 a 2 | G ψ ( s , r ) | ψ ( r ) d r max ( ψ ( p ) ψ ( a 1 ) ) q Γ ( q + 1 ) + μ ( ψ ( a 2 ) ψ ( a 1 ) ) , ( ψ ( a 2 ) ψ ( p ) ) q Γ ( q + 1 ) μ ( ψ ( a 2 ) ψ ( a 1 ) ) ,
for each s [ a 1 , a 2 ] .
Proof. 
Using and by direct computations, we reach the desired result of the Proposition. □

4. Lyapunov-Type Inequality

In this section, we obtain a Lyapunov-type inequality for the proposed thermostat control ψ -model. We consider the following assumption:
  • Assumption ( A 1 ) : There exist κ : [ a 1 , a 2 ] R and a positive, concave and non-decreasing function g : R R such that
    | K ( s , v ) | | κ ( s ) | | g ( v ) | ,
    for each s [ a 1 , a 2 ] and v R .
Using the proposed assumption and above notations, we state the main result of this section as follows. Here, we define v = max a 1 s a 2 | v ( s ) | .
Theorem 1. 
Assume that Assumption ( A 1 ) holds. If ψ ( · ) κ ( · ) L 1 [ a , b ] , and the fractional ψ-model of thermostat control (4) has a non-trivial solution, v C [ a 1 , a 2 ] , then
a 1 a 2 ψ ( r ) | κ ( r ) | d r min Γ ( q ) μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 , Γ ( q ) ( ψ ( a 2 ) ψ ( p ) ) q 1 μ Γ ( q ) v g ( v ) .
If μ ( ψ ( a 2 ) ψ ( p ) ) q 1 Γ ( q ) , then
a 1 a 2 ψ ( r ) | κ ( r ) | d r Γ ( q ) v μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 g ( v ) .
Proof. 
If v C [ a 1 , a 2 ] is a non-trivial solution of the fractional ψ -model of thermostat control (4), we find from (14) that
v ( s ) = a 1 a 2 G ψ ( s , r ) ψ ( r ) K ( r , v ( r ) ) d r .
For each s [ a 1 , a 2 ] , by using Jensen’s inequality, and from (18), we have
| v ( s ) | a 1 a 2 | G ψ ( s , r ) ψ ( r ) K ( r , v ( r ) ) | d r max a 1 s , r a 2 | G ψ ( s , r ) | a 1 a 2 ψ ( r ) | κ ( r ) | | g ( v ( r ) ) | d r max a 1 s , r a 2 | G ψ ( s , r ) | ψ ( · ) κ ( · ) L 1 [ a , b ] a 1 a 2 ψ ( r ) | κ ( r ) | ψ κ L 1 [ a , b ] | g ( v ( r ) ) | d r max a 1 s , r a 2 | G ψ ( s , r ) | ψ ( · ) κ ( · ) L 1 [ a , b ] g a 1 a 2 ψ ( r ) | κ ( r ) | ψ κ L 1 [ a , b ] | v ( r ) | d r max a 1 s , r a 2 | G ψ ( s , r ) | ψ ( · ) κ ( · ) L 1 [ a , b ] g ( u ) .
It follows from Proposition 2 that
ψ ( · ) κ ( · ) L 1 [ a , b ] 1 max a 1 s , r a 2 | G ψ ( s , r ) | u g ( u ) = min Γ ( q ) μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 , Γ ( q ) ( ψ ( a 2 ) ψ ( p ) ) q 1 μ Γ ( q ) v g ( v ) .
This completes the proof. □
Corollary 1. 
For K ( s , v ( s ) ) = κ ( s ) v ( s ) , ψ ( s ) = s and μ ( a 2 p ) q 1 Γ ( q ) , we have
a 1 a 2 | κ ( r ) | d r Γ ( q ) μ Γ ( q ) + ( p a 1 ) q 1 .
The result coincides with the one in [32].
Proof. 
Apply Theorem 1 for ψ ( s ) = s and g ( v ) = v . □

5. Some Existence and Non-Existence Results

In this section, we investigate the existence and non-existence of a mild solution for the thermostat control ψ -model (4). We begin with the definition of mild solutions.
Definition 3. 
The function v C [ a 1 , a 2 ] is called a mild solution of the thermostat control model (4) if it satisfies the following integral equation:
v ( s ) = a 1 a 2 G ψ ( s , r ) ψ ( r ) K ( r , v ( r ) ) d r .
To study the existence of a mild solution for our problem, the following assumption will be considered:
  • Assumption ( A 2 ) : There exists κ : [ a 1 , a 2 ] [ 0 , + ) such that
    | K ( s , v ) K ( s , w ) | κ ( s ) | v w | ,
    for each ( s , v ) , ( s , w ) [ a 1 , a 2 ] × R .
Continuously, from now on, for φ C [ a 1 , a 2 ] , we denote φ = max a 1 s a 2 | φ ( s ) | . Based on the above assumption and definition, we can state and prove the existence and uniqueness result for our ψ -model.
Theorem 2. 
Suppose that K is a continuous function which satisfies Assumption ( A 2 ) . If ψ C 1 [ a 1 , a 2 ] , κ L 1 [ a 1 , a 2 ] , and
κ L 1 [ a 1 , a 2 ] < 1 ψ min Γ ( q ) μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 , Γ ( q ) ( ψ ( a 2 ) ψ ( p ) ) q 1 μ Γ ( q ) ,
then the ψ-model (4) of the thermostat has a unique mild solution.
Proof. 
Let us consider the operator Q : C [ a 1 , a 2 ] C [ a 1 , a 2 ] defined by
Q v ( s ) = a 1 a 2 G ψ ( s , r ) ψ ( r ) K ( r , v ( r ) ) d r .
Note that it is well-defined in virtue of the continuity of the functions ψ , G ψ and K. Then
| Q v ( s ) Q w ( s ) |     ψ max a 1 s , r a 2 | G ψ ( s , r ) | a 1 a 2 | K ( r , v ( r ) ) K ( r , w ( r ) ) | d r     ψ max a 1 s , r a 2 | G ψ ( s , r ) | a 1 a 2 κ ( s ) | v ( r ) w ( r ) | d r     ψ max a 1 s , r a 2 | G ψ ( s , r ) | κ L 1 [ a 1 , a 2 ] v w .
It follows
Q v Q w     ψ max a 1 s , r a 2 | G ψ ( s , r ) | κ L 1 [ a 1 , a 2 ] v w .
Note that
κ L 1 [ a 1 , a 2 ] < 1 ψ min Γ ( q ) μ Γ ( q ) + ( ψ ( p ) ψ ( a 1 ) ) q 1 , Γ ( q ) ( ψ ( a 2 ) ψ ( p ) ) q 1 μ Γ ( q ) = ψ max a 1 s , r a 2 | G ψ ( s , r ) | 1 .
Thus, we conclude from (20) that Q is contraction in C [ a 1 , a 2 ] . Hence, Q has a unique fixed point in C [ a 1 , a 2 ] , which is a mild solution of the thermostat control ψ -model (4). The proof of Theorem 2 is completed. □
To complete this section, we give a non-existence result for our problem. Herein, we use the following assumption:
  • Assumption ( A 3 ) : There exists a constant L K > 0 such that
    | K ( s , v ) | L K | v | ,
    for each ( s , v ) [ a 1 , a 2 ] × R .
Theorem 3. 
Suppose that Assumption ( A 3 ) holds. If L K C ψ < 1 with
C ψ = max ( ψ ( p ) ψ ( a 1 ) ) q Γ ( q + 1 ) + μ ( ψ ( a 2 ) ψ ( a 1 ) ) , ( ψ ( a 2 ) ψ ( p ) ) q Γ ( q + 1 ) μ ( ψ ( a 2 ) ψ ( a 1 ) ) ,
then the thermostat control ψ-model (4) has no non-trival mild solution.
Proof. 
We prove by contradiction that the thermostat control ψ -model (4) has a mild solution. Then, from (19), we have
v = max a 1 s a 2 a 1 a 2 G ψ ( s , r ) ψ ( r ) K ( r , v ( r ) ) d r max a 1 s a 2 a 1 a 2 | G ψ ( s , r ) | ψ ( r ) | K ( r , v ( r ) ) | d r L K v max a 1 s a 2 a 1 a 2 | G ψ ( s , r ) | ψ ( r ) d r L K C ψ v <   v ,
due to Proposition 3. This is a contradiction. The proof of Theorem 3 is completed. □

6. Conclusions

In the present reaserch study, we considered a new applied model of thermostat control by defining the relevant differential equation and boundary value conditions with the help of ψ -operators in which ψ is a non-decreasing function. This model covers all previous fractional BVPs of thermostat control. To follow the study, a mathematical structure of Green’s function was obtained, and then maximum and minimum values of it over the given interval were calculated. By using some estimates and the Jensen’s inequality, the Lyapunov-type inequality was proved under the supposed conditions for the generalized ψ -model of the thermostat. Moreover, based on functional analysis techniques, the non-existence and existence of mild solutions for such a generalized ψ -system were established. Due to the importance of real models of processes, we can continue such studies for other forms of applied mathematical models via the newly defined mathematical operators.

Author Contributions

Conceptualization, S.R. and S.E.; formal analysis, S.R., S.E., R.P.A. and K.N.; funding acquisition, K.N.; methodology, S.R., S.E., R.P.A. and K.N.; software, S.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing is not applicable to this article as no datasets were generated nor analyzed during the current study.

Acknowledgments

The first and second authors would like to thank Azarbaijan Shahid Madani University. Additionally, all the authors would like to thank dear reviewers for their useful and constructive comments to improve the quality of the paper.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pinasco, J.P. Lyapunov-Type Inequalities; Springer: New York, NY, USA, 2013. [Google Scholar]
  2. Canada, A.; Villegas, S. A Variational Approach to Lyapunov Type Inequalities; Springer: Cham, Switzerland, 2015. [Google Scholar]
  3. Agarwal, R.P.; Bohner, M.; Ozbekler, A. Lyapunov Inequalities and Applications; Springer: Cham, Switzerland, 2021. [Google Scholar]
  4. Clark, S.; Hinton, D.B. A Lyapunov inequality for linear Hamiltonian systems. Math. Inequal. Appl. 1998, 1, 201–209. [Google Scholar]
  5. Lyapunov, A.M. Problème général de la stabilité du mouvement. Ann. Fac. Sci. Univ. Tolouse. 1907, 2, 203–407. [Google Scholar]
  6. Yang, X.J.; Kim, Y.I.; Lo, K.M. Lyapunov-type inequalities for a class of higher-order linear differential equations. Appl. Math. Lett. 2014, 34, 86–89. [Google Scholar] [CrossRef]
  7. Agarwal, R.P.; Ozbekler, A. Lyapunov type inequalities for nth order forced differential equations with mixed nonlinearities. Commun. Pure Appl. Anal. 2016, 15, 2281–2300. [Google Scholar]
  8. Ferreira, R.A.C. A Lyapunov-type inequality for a fractional boundary value problem. Fract. Calc. Appl. Anal. 2013, 16, 978–984. [Google Scholar] [CrossRef]
  9. Ferreira, R.A.C. On a Lyapunov-type inequality and the zeros of a certain Mittag-Leffler function. J. Math. Anal. Appl. 2014, 412, 1058–1063. [Google Scholar] [CrossRef]
  10. Jleli, M.; Samet, B. A Lyapunov-type inequality for a fractional q-difference boundary value problem. J. Nonlinear Sci. Appl. 2016, 9, 1965–1976. [Google Scholar] [CrossRef] [Green Version]
  11. Ma, K.K.; Han, Z.L. Lyapunov-type inequalities on fractional q-difference Schrodinger equation with Woods-Saxon potential. Int. J. Dyn. Syst. Differ. Equ. 2019, 9, 105–119. [Google Scholar] [CrossRef]
  12. Pathak, N. Lyapunov-type inequality for fractional boundary value problems with Hilfer derivative. Math. Inequal. Appl. 2018, 21, 179–200. [Google Scholar]
  13. Ma, D.; Yang, Z. Lyapunov-type inequality and solution for a fractional differential equation. J. Inequal. Appl. 2020, 2020, 181. [Google Scholar] [CrossRef]
  14. Kassymov, A.; Torebek, B.T. Lyapunov-type inequalities for a nonlinear fractional boundary value problem. RACSAM 2021, 115, 15. [Google Scholar] [CrossRef]
  15. Wang, J.; Zhang, S. A Lyapunov-type inequality for partial differential equation involving the mixed Caputo derivative. Mathematics 2020, 8, 47. [Google Scholar] [CrossRef] [Green Version]
  16. Ntouyas, S.K.; Ahmad, B.; Tariboon, J. A survey on recent results on Lyapunov-type inequalities for fractional differential equations. Fractal Fract. 2022, 6, 273. [Google Scholar] [CrossRef]
  17. Bonyah, E.; Chukwu, C.W.; Juga, M.L. Fatmawati, Modeling fractional-order dynamics of Syphilis via Mittag-Leffler law. AIMS Math. 2021, 6, 8367–8389. [Google Scholar] [CrossRef]
  18. Baleanu, D.; Etemad, S.; Rezapour, S. A hybrid Caputo fractional modeling for thermostat with hybrid boundary value conditions. Bound. Value Probl. 2020, 2020, 64. [Google Scholar] [CrossRef] [Green Version]
  19. Khan, A.; Shah, K.; Abdeljawad, T.; Alqudah, M.A. Existence of results and computational analysis of a fractional order two strain epidemic model. Res. Phys. 2022, 39, 105649. [Google Scholar] [CrossRef]
  20. Mohammad, H.; Kumar, S.; Rezapour, S.; Etemad, S. A theoretical study of the Caputo–Fabrizio fractional modeling for hearing loss due to Mumps virus with optimal control. Chaos Solitons Fractals 2021, 144, 110668. [Google Scholar] [CrossRef]
  21. Asamoah, J.K.K.; Okyere, E.; Yankson, E.; Opoku, A.A.; Adom-Konadu, A.; Acheampong, E.; Arthur, Y.D. Non-fractional and fractional mathematical analysis and simulations for Q fever. Chaos Solitons Fractals 2022, 156, 111821. [Google Scholar] [CrossRef]
  22. Wu, Y.; Ahmad, S.; Ullah, A.; Shah, K. Study of the fractional-order HIV-1 infection model with uncertainty in initial data. Math. Probl. Eng. 2022, 2022, 7286460. [Google Scholar] [CrossRef]
  23. Etemad, S.; Avci, I.; Kumar, P.; Baleanu, D.; Rezapour, S. Some novel mathematical analysis on the fractal–fractional model of the AH1N1/09 virus and its generalized Caputo-type version. Chaos Solitons Fractals 2022, 162, 112511. [Google Scholar] [CrossRef]
  24. Najafi, H.; Etemad, S.; Patanarapeelert, N.; Asamoah, J.K.K.; Rezapour, S.; Sitthiwirattham, T. A study on dynamics of CD4+ T-cells under the effect of HIV-1 infection based on a mathematical fractal-fractional model via the Adams-Bashforth scheme and Newton polynomials. Mathematics 2022, 10, 1366. [Google Scholar] [CrossRef]
  25. Abbas, M.I.; Ragusa, M.A. On the hybrid fractional differential equations with fractional proportional derivatives of a function with respect to a certain function. Symmetry 2021, 13, 264. [Google Scholar] [CrossRef]
  26. Rezapour, S.; Ntouyas, S.K.; Iqbal, M.Q.; Hussain, A.; Etemad, S.; Tariboon, J. An analytical survey on the solutions of the generalized double-order φ-integrodifferential equation. J. Funct. Spaces 2021, 2021, 6667757. [Google Scholar] [CrossRef]
  27. Rezapour, S.; Etemad, S.; Tellab, B.; Agarwal, P.; Guirao, J.L.G. Numerical solutions caused by DGJIM and ADM methods for multi-term fractional BVP involving the generalized ψ-RL-operators. Symmetry 2021, 13, 532. [Google Scholar] [CrossRef]
  28. Mohammadi, H.; Rezapour, S.; Etemad, S.; Baleanu, D. Two sequential fractional hybrid differential inclusions. Adv. Differ. Equ. 2020, 2020, 385. [Google Scholar] [CrossRef]
  29. Agarwal, R.P.; Hristova, S.; O’regan, D. Generalized proportional Caputo fractional differential equations with noninstantaneous impulses: Concepts, integral representations, and Ulam-type stability. Mathematics 2022, 10, 2315. [Google Scholar] [CrossRef]
  30. Infante, G.; Webb, J. Loss of positivity in a nonlinear scalar heat equation. Nonlinear Diff. Equ. Appl. 2006, 13, 249–261. [Google Scholar] [CrossRef]
  31. Nieto, J.J.; Pimentel, J. Positive solutions of a fractional thermostat model. Bound. Value Probl. 2013, 2013, 5. [Google Scholar] [CrossRef] [Green Version]
  32. Cabrera, I.J.; Rocha, J.; Sadarangani, K.B. Lyapunov type inequalities for a fractional thermostat model. RACSAM 2018, 112, 17–24. [Google Scholar] [CrossRef]
  33. Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; North Holland Mathematics Studies, 203; Elsevier: Amsterdam, The Netherlands, 2006. [Google Scholar]
  34. Almeida, R. A Caputo fractional derivative of a function with respect to another function. Commun. Nonlinear Sci. Numer. Simul. 2017, 44, 460–481. [Google Scholar] [CrossRef] [Green Version]
  35. Almeida, R.; Malinowska, A.B.; Teresa, N.; Monteiro, T. Fractional differential equations with a Caputo derivative with respect to a kernel function and their applications. Math. Methods Appl. Sci. 2018, 41, 336–352. [Google Scholar] [CrossRef] [Green Version]
  36. Rudin, W. Real and Complex Analysis, 3rd ed.; McGraw-Hill Book Company: New York, NY, USA, 1987. [Google Scholar]
  37. Jiang, F.; Xu, X.; Cao, Z. The positive properties of Green’s function for fractional differential equations and its applications. Abstr. Appl. Anal. 2013, 2013, 531038. [Google Scholar] [CrossRef] [Green Version]
  38. Wang, Y. The Green’s function of a class of two-term fractional differential equation boundary value problem and its applications. Adv. Differ. Equ. 2020, 2020, 80. [Google Scholar] [CrossRef] [Green Version]
  39. Khan, H.; Tunc, C.; Khan, A. Green function’s properties and existence theorems for nonlinear singular-delay-fractional differential equations. Discret. Contin. Dyn. Syst. S 2020, 13, 2475–2487. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Rezapour, S.; Etemad, S.; Agarwal, R.P.; Nonlaopon, K. On a Lyapunov-Type Inequality for Control of a ψ-Model Thermostat and the Existence of Its Solutions. Mathematics 2022, 10, 4023. https://doi.org/10.3390/math10214023

AMA Style

Rezapour S, Etemad S, Agarwal RP, Nonlaopon K. On a Lyapunov-Type Inequality for Control of a ψ-Model Thermostat and the Existence of Its Solutions. Mathematics. 2022; 10(21):4023. https://doi.org/10.3390/math10214023

Chicago/Turabian Style

Rezapour, Shahram, Sina Etemad, Ravi P. Agarwal, and Kamsing Nonlaopon. 2022. "On a Lyapunov-Type Inequality for Control of a ψ-Model Thermostat and the Existence of Its Solutions" Mathematics 10, no. 21: 4023. https://doi.org/10.3390/math10214023

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop