Startseite Mathematik Penalty method for unilateral contact problem with Coulomb's friction in time-fractional derivatives
Artikel Open Access

Penalty method for unilateral contact problem with Coulomb's friction in time-fractional derivatives

  • Lakbir Essafi und Mustapha Bouallala EMAIL logo
Veröffentlicht/Copyright: 7. November 2024
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

The purpose of this work is to study a mathematical model that describes a contact between a deformable body and a rigid foundation. A linear viscoelastic Kelvin-Voigt constitutive law with time-fractional derivatives describes the material’s behavior. The contact is modeled with Signorini’s condition coupled with Coulomb’s friction law. We derive a variational formulation of the model, and we prove the existence of a weak solution using the theory of monotone operators and Caputo derivative and the Rothe method. We also introduce the penalized problem and prove its solvability using the Galerkin method. Furthermore, we study the convergence of its solution to the solution of the original problem as the penalization parameter tends to zero.

MSC 2010: 35R11; 74M10; 74M15; 65N30; 65M60; 46B50

1 Introduction

The study of the behavior of many materials, such as polymers, reveals a low-frequency dependence of their damping properties over a wide frequency range. This weak frequency dependence is challenging to describe within the framework of classical viscoelastic models (integer-order derivatives) and without an excessive number of parameters. The challenge is overcome by employing fractional-order operators instead of integer-order operators in the constitutive laws. This substitution leads to a decreased number of parameters required to characterize the material’s properties.

Time-fractional-order viscoelastic models find extensive applications in various fields such as mechanics, chemistry, and engineering [13]. For the specific viscoelastic materials, we can find the fractional constitutive model in previous studies [46].

The theory of fractional differential equations has been studied in several works, including [710] and more recently [11,12]. Models utilizing fractional derivatives and their corresponding modeling can be found in [5,1315]. The investigation of differential hemivariational inequalities in Banach spaces was initiated [16,17]. In previous studies [18,19], the authors explore another application of partial differential equations (PDEs) involving fractional-order derivatives, specifically the synchronization of fractional-order stochastic systems in finite-dimensional spaces. Numerical illustrations are provided to validate the theoretical findings.

In 2018, Zeng et al. [17,20] addressed a novel category of generalized differential hemivariational inequalities. Their study incorporated the temporal fractional-order derivative operator while considering a frictional contact problem. They employed Rothe’s method to establish the existence of a weak solution to the contact problem. More recently, in the investigation by Bouallala and Essoufi [21], a fractional contact problem with normal compliance and Coulomb’s friction was examined. This research concentrated on the interplay between a thermo-viscoelastic body and a thermally conductive foundation. A more recent contribution in [22] initiated the exploration of a novel frictionless dynamic contact problem model for a viscoelastic body with normal compliance, incorporating the Kelvin-Voigt constitutive law with a time-fractional component.

The study of a contact problem with friction, considering fractional-order derivatives using the penalization method, presents several motivations. Theoretically, it allows for the generalization of classical models and stimulates research and the development of new methods and theories in applied mathematics and numerical analysis. Practically, important motivations include applications in engineering, more accurate predictions of material behavior, and the optimization of industrial processes.

Furthermore, given that the fractional-order derivative generalizes the constitutive laws of rheological models commonly used in linear viscoelasticity, including springs and dampers. The objective of this document is to analyze a frictional contact problem involving a viscoelastic material and a rigid foundation. In this framework, we express the constitutive equation using the fractional Kelvin-Voigt law. The process is quasi-static, the contact is unilateral, and friction is modeled by a version of Coulomb’s law. We introduce a weak formulation of the model, involving a variational inequality for the displacement field with a fractional derivative component in time.

The novelties of this study are as follows: first, the utilization of a time-fractional Kelvin-Voigt constitutive law for the viscosity tensor is as follows:

σ ( t ) = V ε ( D t α 0 C u ( t ) ) + ε ( u ( t ) ) ,

where α ( 0 , 1 ] and t [ 0 , T ] .

The second novelty lies in tackling a novel problem by penalizing the contact law and regularizing friction. This approach transforms the problem into a variational equation that includes a fractional-order derivative in time. Consequently, this penalized formulation manifests as a nonlinear quasi-variational equation involving fractional-order derivatives.

The third innovation of this study is the combination of two major methods, Rothe and finite difference-Galerkin, which are highly effective in the resolution of PDEs, particularly those involving fractional derivatives. Additionally, the former is used for a quasi-variational inequality and the latter for a variational equation, both of which are nonlinear and involve fractional-order derivatives.

We demonstrate the existence of a penalized solution using the Galerkin method for such equations. Among the difficulties encountered in this study are the estimation of certain non-linear terms and the convergence of the two problems. These challenges stem from the combination of fractional-order derivatives and non-linear boundary conditions.

The remaining sections of this article are organized as follows: In Section 2, we present the model of the contact quasistatic process of a viscoelastic body with the fractional Kelvin-Voigt law. We introduce some preliminary material and list assumptions on the problem data. Additionally, we derive the variational formulation of the problem and present the main results concerning the existence of a weak solution. In Section 3, we prove the existence of a weak solution by leveraging the Rothe method and a surjectivity theorem for multivalued pseudomonotone operators. In Section 4, we discuss the existence of a penalty problem and investigate the convergence of the solution as the penalty parameter approaches zero. The proof is based on utilizing the fractional Caputo derivative, implementing the Galerkin method, and employing the compactness method for the Caputo derivative. Finally, in Appendix, we provide a summary of relevant results, including known definitions and properties in nonlinear analysis and fractional calculus.

2 Problem statement and variational formulation

We assume that a viscoelastic body occupies a regular domain Ω of R d , d = 2 , 3 , which will be supposed bounded with a smooth boundary Γ = Ω . This boundary is divided into three open disjoint parts Γ D , Γ N , and Γ C , such that meas ( Γ D ) > 0 . The interval is denoted as [ 0 , T ] , where T represents a fixed positive value that defines the upper bound of the time interval.

The body is assumed to be clamped in Γ D × ( 0 , T ) and is subjected to a volume force f 1 in Ω × ( 0 , T ) . A density of traction force f N acts on Γ N × ( 0 , T ) . The normalized gap between Γ C and a rigid foundation is denoted by g (Figure 1).

Figure 1 
               Domain in the initial configuration.
Figure 1

Domain in the initial configuration.

In the following, we use S d to denote the space of second-order symmetric tensors on R d , while “⋅” and ∣⋅∣ will represent the inner product and the Euclidean norm on S d and R d , respectively.

u v = u i v i , v = ( v , v ) 1 2 , and σ τ = σ i j τ i j , τ = ( τ , τ ) 1 2 .

We denote by u : Ω × ( 0 , T ) R d the displacement field, σ = ( σ i j ) : Ω × ( 0 , T ) S d the stress tensor, ε ( u ) = ( ε i j ( u ) ) the linearized strain tensor given by ε i j ( u ) = 1 2 ( u i , j + u j , i ) , and div and Div denote the divergence operator for vector-valued and tensor-valued functions, respectively. Specifically, D i v σ = ( σ i j , j ) and div ξ = ( ξ j , j ) .

We represent the normal and tangential components of the displacement field u on Γ as follows:

u ν = u . ν , and u τ = u u ν ν .

The normal and tangential components of the stress field σ on the boundary are defined as follows:

σ ν = ( σ ν ) . ν , and σ τ = σ ν σ ν ν ,

respectively, where ν denote the outward normal vector on Γ .

The classical formulation of the fractional contact problem can be expressed in the following manner:

Problem (P): Find a displacement field u : Ω × ( 0 , T ) R d and a stress field σ : Ω × ( 0 , T ) S d such that

(1) σ ( t ) = V ε ( D t α 0 C u ( t ) ) + ε ( u ( t ) ) , in Ω × ( 0 , T ) ,

(2) Div σ ( t ) + f 1 ( t ) = 0 , in Ω × ( 0 , T ) ,

(3) u = 0 , on Γ D × ( 0 , T ) ,

(4) σ ( t ) ν = f N ( t ) , on Γ N × ( 0 , T ) ,

(5) u ( 0 , x ) = u 0 , in Ω × ( 0 , T ) ,

(6) σ ν ( u ( t ) ) 0 , u ν ( t ) g , σ ν ( u ( t ) ) ( u ν ( t ) g ) = 0 , on Γ C × ( 0 , T ) ,

(7) σ τ ( t ) μ ( u τ ( t ) ) σ ν ( t ) , σ τ ( t ) < μ ( u τ ( t ) ) σ ν ( t ) u τ ( t ) = 0 , σ τ ( t ) = μ ( u τ ( t ) ) σ ν ( t ) λ 0 such that σ τ ( t ) = λ u τ ( t ) , on Γ C × ( 0 , T )

Equation (1) corresponds to the Caputo-type time-fractional Kelvin-Voigt viscoelastic constitutive law, as described in [23]. Here, = ( i j k l ) and V = ( V i j k l ) denote the elastic tensor and viscosity tensor, respectively, both of which are fourth-order tensors. Equation (2) represents the stress equilibrium condition. The relations (3) and (4) represent the mechanical boundary conditions. Additionally, the initial condition is described by equation (5). Relation (6) captures the frictional contact on Γ C with Signorini’s conditions. Furthermore, equation (7) represents Coulomb’s friction, where μ denotes the coefficient of friction.

In the context of a real Banach space X and 1 p , we adopt the conventional notation to represent the spaces L p ( 0 , T ; X ) , C ( 0 , T ; X ) , and W k , p ( 0 , T ; X ) , where k = 1 , 2 , .

To establish the variational formulation of Problem (P), we will utilize the function spaces:

H = L 2 ( Ω ) d = { v = ( v i ) v i L 2 ( Ω ) , i = 1 , , d } , H 1 = H 1 ( Ω ) d = { v = ( v i ) v i H 1 ( Ω ) , i = 1 , , d } , = { τ = ( τ i j ) τ i j = τ j i L 2 ( Ω ) , i , j = 1 , , d } ,

and

1 = { σ Div σ H } .

Endowed with the following inner products:

( u , v ) H = Ω u i v i d x , ( u , v ) H 1 = ( u , v ) H + ( ε ( u ) , ε ( v ) ) , ( σ , τ ) = Ω σ i j τ i j d x , ( σ , τ ) 1 = ( σ , τ ) + ( Div σ , Div τ ) ,

with the associated norm · H , · H 1 , · , and · 1 .

Taking into account (3), we introduce the following space:

V = { v H 1 : v = 0 on Γ D } ,

endowed with the inner products and norm given by

( u , v ) V = ( ε ( u ) , ε ( v ) ) , v V = ( v , v ) V 1 2 .

The set of admissible displacements is defined as follows:

V a d = { v V : v ν g on Γ C } .

Given that meas ( Γ D ) > 0 , Korn’s inequality holds.

ε ( u ) c K v H 1 , for all v V ,

where c K > 0 is a constant, which depends only on Ω and Γ D .

Furthermore, according to Sobolev’s trace theorem, there exists a positive constant c d that depends solely on Ω and Γ C , such that

(8) v L 2 ( Γ C ) d c 0 v V , for all v V .

For simplicity, let us denote the following bilinear and symmetric operators:

(9) a ( u , v ) ( V ε ( u ) , ε ( v ) ) , b ( u , v ) ( ε ( u ) , ε ( v ) ) .

Applying Riesz’s representation theorem, we define the element f ( t ) V as follows:

( f ( t ) , v ) V Ω f 1 ( t ) . v d x + Γ N f N ( t ) . v d Γ , for all v V .

Also, we define the mapping j : V × V R by

(10) j ( u ( t ) , v ) Γ C μ ( u τ ( t ) ) σ ( t ) . v τ d Γ , for all v V .

In the study of mechanical Problem (P), we impose the following assumptions:

    1. The viscosity tensor V : Ω × S d S d and the elasticity : Ω × S d S d exhibit the standard property of symmetry:

      V i j k l = V j i k l = V l k i j L ( Ω ) , i j k l = j i k l = l k i j L ( Ω ) .

    2. The forms a , b satisfy the property of ellipticity

      a ( u , u ) m a u V 2 , and b ( u , u ) m b u V 2 ,

      where m a , m b > 0 for all u V .

    3. The operators a and b adhere to the conventional property of boundedness.

      a ( u , v ) M a u V . v V , and b ( u , v ) M b u V . v V ,

      where M a , M b > 0 , for all u , v V .

    1. The forces and tractions satisfy the following conditions:

      f 1 L 2 ( 0 , T ; L 2 ( Ω ) ) , and f N L 2 ( 0 , T ; L 2 ( Γ N ) d ) .

    2. The gap function and the initial condition fulfill the following conditions:

      g > 0 , g L ( Γ C ) , and u 0 V a d .

  1. The coefficient of friction μ : Γ C × R + R + satisfies

    1. There exists L μ > 0 , for all x , y R +

      μ ( , x 1 ) μ ( , x 2 ) < L μ x 1 x 2 a.e. on Γ C .

    2. The mapping z μ ( z , x ) is measurable on Γ C , for all x R + .

    3. The mapping z μ ( z , x ) is μ * -bounded a.e. on Γ C , where

      μ * = sup t [ 0 , T ] μ ( t ) L ( Γ C ) .

  2. The mapping j satisfies

    1. j is measurable on Γ C .

    2. j is locally Lipschitz on Γ C .

    3. j is a proper convex and l.s.c on V .

    4. There exists c j > 0 such that

      j ( v ) V * c j ( 1 + v V ) .

As V is dense in H , the inclusion mapping from ( V , V ) to ( H , H ) is continuous and dense. Consequently, we identify H with its dual space H * , and we express V H H * V * , with V * being the dual space of V .

By employing a standard procedure relying on Green’s formula, we derive the subsequent variational formulation of (1)–(7):

Variational Problem (PV) : Find a displacement field u : Ω × ( 0 , T ) R d and a stress field σ : Ω × ( 0 , T ) S d for all v V such that

(11) σ ( t ) = V ε ( D t α 0 C u ( t ) ) + ε ( u ( t ) ) ,

(12) a ( D t α 0 C u ( t ) , v u ( t ) ) + b ( u ( t ) , v u ( t ) ) + j ( u ( t ) , v ) j ( u ( t ) , u ( t ) ) ( f ( t ) , v u ( t ) ) ,

(13) u ( 0 ) = u 0 .

3 Existence result

In this section, we present and demonstrate the existence of the result

Theorem 3.1

Assuming that hypotheses ( H P 1 ) ( H P 4 ) and (9)–(10) are satisfied, it follows that Problem (PV) possesses at least one solution.

( u , σ ) W 1 , 2 ( 0 , T ; V ) × L 2 ( 0 , T ; L 2 ( Ω , S d ) ) .

The demonstration of Theorem 3.1 hinges upon the application of logic involving the nonlinear operator, the Caputo derivative, and the Rothe method.

Given y ( t ) = D t α 0 C u ( t ) and u ( t ) = I t α 0 y ( t ) + u 0 , inequality (12) can be restated as follows:

(14) a ( y ( t ) ) + b ( I t α 0 y ( t ) + u 0 ) + j ( I t α 0 y ( t ) + u 0 ) f ( t ) .

Now, let N N be a fixed integer, and Δ t = δ = T N . We proceed to examine the following approximation of the fractional integral operator I t n α 0 y ( t ) by:

I ˜ t n α 0 y ( t ) = 1 Γ ( α ) i = 1 n t j 1 t j ( t n s ) α 1 y ( t i ) d s = δ α Γ ( 1 + α ) i = 1 n y ( t i ) [ ( n i + 1 ) α ( n i ) α ] ,

where t k = k δ . Additionally, we define the functional f δ k as follows:

f δ i = 1 δ t i 1 t i f ( s ) d s ,

for i = 1 , , N .

By applying the Rothe method to equation (14), we derive the ensuing fractional Rothe problem:

Fractional Rothe Problem (FRP): Find { y δ k } V for k = 1 , , N such that

(15) a ( y δ k ) + b ( u δ k ) + j ( u δ k ) f δ k ,

where

(16) u δ k = u 0 + δ Γ ( 1 + α ) i = 1 k y δ i [ ( k i + 1 ) α ( k i ) α ] .

The subsequent result is as follows:

Lemma 3.1

There exists a positive constant δ ¯ such that if δ belongs to the interval ( 0 , δ ¯ ) , the Problem (FRP) possesses at least one solution.

Proof

We assume that { y δ k } k = 0 n 1 are provided, and we will select y δ n V satisfying (15)–(16). To accomplish this, we introduce the following multivalued operators: Π : V V and Π 0 : V V * :

Π ( y ) Π 0 + j ( y )

and

Π 0 ( y ) a ( y ) + b δ α Γ ( 1 + α ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] δ α y + u 0 .

Now, we aim to demonstrate that Π is a surjection operator.

First, we establish the coercivity of the operator Π . To this end, let c t > 0 denote the constant defined by

(17) c t = δ α Γ ( 1 + α ) i = 1 n 1 y δ i [ ( n i + 1 ) α ( n i ) α ] .

Utilizing hypotheses ( H P 4 ) and equation (17), we obtain

j δ α Γ ( 1 + α ) i = 1 n 1 y δ i [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) + u 0 V * c j δ α Γ ( 1 + α ) i = 1 n 1 y δ i V [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) y V + 1 + u 0 V c j 1 + c t + δ α Γ ( 1 + α ) y V .

Based on hypothesis ( H P 1 ) and equation (8), we conclude that

Π ( y , y ) m a y V 2 M b c t + δ α Γ ( 1 + α ) y V y V c j 1 + c t + δ α Γ ( 1 + α ) y V m a δ α ( M b + v j ) Γ ( 1 + α ) y V 2 M b c t + c j δ α Γ ( 1 + α ) y V c j ( 1 + c t ) .

We define δ ¯ = Γ ( 1 + α ) m a δ α ( M b + c j ) to establish the coercivity of the operator Π .

Subsequently, we utilize the assumptions concerning a and b to deduce

Π 0 ( y , y ) m a δ α M b Γ ( 1 + α ) y V 2 .

Therefore, Π 0 exhibits pseudomonotonicity.

Now, it is necessary to demonstrate that the operator Ψ : V V * , which is defined as

Ψ ( y ) j δ α Γ ( 1 + α ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) y + u 0 ,

for y V is pseudomonotone.

It follows from the properties of j and the reflexivity of V that Π ( y ) is nonempty, convex, and weakly compact for all y V . Moreover, according to ( H P 4 ) , Π is bounded.

In other words, suppose { y m } V such that y m y weakly in V , as m , and

β m j δ α Γ ( 1 + α ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) y m + u 0 .

As the operator j is bounded, the sequence { β m } is bounded in V * .

Consequently, by considering a subsequence if necessary, we observe that y m y weakly in V * as m .

Given that the graph of the multivalued mapping

y j δ α Γ ( 1 + α ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) + u 0 ,

is closed with respect to the V × V * topology (see [15, Proposition 3.23(v)]), we conclude that

β j δ α Γ ( 1 + α ) i = 1 n 1 y δ α [ ( n i + 1 ) α ( n i ) α ] + δ α Γ ( 1 + α ) y + u 0 .

Subsequently, it becomes evident that β Π ( y ) , and we define

β m , y m β , y V * × V , as m .

Utilizing Lemma A.1, we infer the pseudomonotonicity of the operator Π , thus establishing that it is pseudomonotone. Consequently, the operator Π is pseudomonotone. Consequently, Problem (FRP) has at least one solution.

Next, we will present the sequence of solutions for the fractional Rothe problem (15).□

Lemma 3.2

Given assumptions ( H P 1 ) ( H P 4 ) and equation (17), there exists δ > 0 and a positive constant c independent of δ such that 0 < δ < δ ¯ ; the solution of (15) satisfies

(18) max k y τ k + max k u τ k + max k β τ k c ,

for k = 1 , , N and β δ k j ( y δ k ) , and

(19) a ( y δ k ) + b ( u δ k ) + β δ k = f δ k .

Proof

For all 1 n N , multiplying equation (19) by y δ n , we obtain

a ( y δ n , y δ n ) + a ( u δ n , y δ n ) + β δ n , y δ n V * × V = f δ n , y δ n V * × V .

With reference to (16), ( H P 1 ) , and ( H P 4 ) , we deduce

f δ n , y τ n m a y δ n V 2 M b u δ n V y δ n V c j ( 1 + u δ n V ) y δ n V m a y δ n V M b u 0 V + δ α Γ ( α + 1 ) i = 1 n y δ i V [ ( n i + 1 ) α ( n i ) α ] y δ n V 1 + u 0 V + δ α Γ ( α + 1 ) i = 1 n y δ i V [ ( n i + 1 ) α ( n i ) α ] y δ n V m a y τ n V 2 M b δ α Γ ( α + 1 ) y δ n V 2 M b u 0 V y δ n V c j y δ n V c j u 0 V y δ n V c j δ α Γ ( α + 1 ) y δ n V 2 M b δ α Γ ( α + 1 ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] y δ i V y δ n V c j δ α Γ ( α + 1 ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] y δ i V y δ n V .

Hence, drawing from the preceding analysis, we conclude that

f δ n V + δ α ( M b + c j ) Γ ( α + 1 ) y δ i V i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] + c j + ( c j + M b ) u 0 V m a δ α ( M b + c j ) Γ ( α + 1 ) y δ n V .

Selecting δ ¯ = m 1 Γ ( 1 + α ) 2 ( M b + c j ) 1 α , we deduce that m a δ α ( M b + c j ) Γ ( 1 + α ) m a 2 for all 0 < δ < δ ¯ . Thus,

2 f δ n V m a + 2 c j + c j u 0 V + M b u 0 V m a + 2 δ α ( M b + c j ) m a Γ ( α + 1 ) i = 1 n 1 y δ i V [ ( n i + 1 ) α ( n i ) α ] y δ n V .

Utilizing hypotheses ( H P 1 ) ( i ) , for every δ > 0 and n N , there exists a positive constant c f > 0 such that f δ n V c f .

For brevity, let us denote c ˜ = 2 m a ( c f + M b u 0 V + c j u V + c j ) .

By applying the generalized discrete Gronwall’s inequality from Lemma A.1, we observe that

(20) f δ n V c 0 exp 2 δ α ( M b + c j ) m a Γ ( α + 1 ) i = 1 n 1 [ ( n i + 1 ) α ( n i ) α ] c 0 exp 2 δ α ( M b + c j ) m a Γ ( α + 1 ) c .

By combining equations (20) and (16), we derive the following result:

u δ n V = u 0 + δ α Γ ( α + 1 ) i = 1 n y δ i [ ( n i + 1 ) α ( n i ) α ] V u 0 V + i = 1 n ( t n i + 1 α t n i α ) u 0 V + c T α Γ ( α + 1 ) c .

Finally, according to ( H P 1 ) , we obtain the following estimate for β δ n :

(21) β δ n V * c j ( 1 + u δ n V ) c j ( 1 + c ) .

Thus, Lemma A.1 is established.

The solvability of Problem (PV) ensues from the subsequent result.□

Proof of Theorem 3.1

Consider a sequence { δ n } such that δ n 0 , as n .

Based on the estimate (18), the sequences { y ¯ δ } , { u ¯ δ } , and { β ¯ δ } , which interpolate to { y δ } , { u δ } , and { β δ } respectively, are bounded for k = 1 , , N .

Therefore, there exists y V , u V and β V * such that

y ¯ δ y weakly in V , as δ 0 ,

(22) u ¯ δ u weakly in V , as τ 0 ,

(23) β ¯ δ β weakly in V * , as τ 0 .

Utilizing [24, Lemma 4 (a)], we derive that

I t α 0 y ¯ δ I t α 0 y weakly in V , as δ 0 .

Employing equation (18), and for all t ( 0 , T ) , it follows that

(24) u ¯ δ ( t ) u 0 I t α 0 y ¯ δ ( t ) = δ α Γ ( α + 1 ) i = 1 n y δ i [ ( n i + 1 ) α ( n i ) α ] 1 Γ ( α ) 0 t ( t s ) α 1 y ¯ δ ( s ) d s c Γ ( α ) t t n ( t n s ) α 1 d s + 0 t ( t s ) α 1 ( t n s ) α 1 d s c Γ ( α ) [ ( t n t ) α + t α + ( t n t ) α t n α ] ,

for t [ t n 1 , t n ] . Then,

u ¯ δ ( t ) u 0 I t α 0 y ¯ δ ( t ) 0 strongly in V , as τ 0 .

This, in conjunction with equation (24), results in

(25) u ¯ δ ( t ) u 0 + I t α 0 y ( t ) weakly in V , as δ 0 .

Considering the mapping u j ( u ) , which is upper semi-continuous from V to V * , and relying on (23) and [25, Theorem 3.13], we have

β ( t ) j ( u 0 + I t α 0 y δ ) , for a.e., t ( 0 , T ) .

We now define the Nemytskii operators a ¯ and b ¯ corresponding to a and b as follows:

( a ¯ y ) ( t ) = a y ( t ) , and ( b ¯ y ) ( t ) = b ( u 0 + I t α 0 y ( t ) ) ,

for all w V and almost every t ( 0 , T ) .

Given assumption ( H P 1 ) ( i i i ) , as well as equations (21) and (22), we have for t ( 0 , T ) that

(26) a ¯ y ¯ δ a ¯ y weakly in V , as τ 0 ,

b ( u 0 + I t α 0 y ¯ δ ( t ) ) b ( u 0 + I t α 0 y ( t ) ) weakly in V , as τ 0 .

Derived from ( H P 1 ) and equation (18), we have

(27) 0 T b ( I t α 0 y ¯ δ ( t ) + u 0 ) V d t M b C Γ ( α + 1 ) 0 T t α d t + T M b u 0 V = M b c T α + 1 Γ ( α + 2 ) + T M b u 0 V .

By applying the Lebesgue dominated convergence theorem, we can express

lim δ 0 b ( y ¯ δ , v ) = lim τ 0 0 T b ( I t α 0 y ¯ δ ( t ) + u 0 , v ( t ) ) d t = 0 T lim τ 0 b ( I t α 0 y ¯ δ ( t ) + u 0 , v ( t ) ) d t = 0 T b ( I t α 0 y ( t ) + u 0 , v ( t ) ) d t = b ( y , v ) .

On the contrary, according to [25, Lemma 3.3], we are aware that

f τ f strongly in V , as τ 0 .

Finally, by utilizing equations (25), (26), and (27), we can take the limit in equation (15), which implies that y L 2 ( 0 , T ; V ) is a solution to Problem (FRP).

Hence, we deduce that u W 1 , 2 ( 0 , T ; V ) , given by u ( t ) = u 0 + I t α 0 y ( t ) for almost every t ( 0 , T ) , is a solution to Problem (PV).□

4 Convergence analysis of the penalty method

In this section, we employ the penalty approach by replacing the Signorini’s condition (6) with a modified condition:

σ ν ( u ε ( t ) g ) 1 ε [ u ε ν ( t ) g ] + ,

where ε > 0 represents the penalty parameter.

For any u , v V and t ( 0 , T ) , we define the function Φ : V × V R as follows:

(28) Φ ( u ( t ) , v ) Γ C [ u ν ( t ) ] + v ν d Γ = [ u ν ( t ) ] + , v ν Γ C .

As j is not differentiable, we introduce a regularization using j ε defined as follows:

j ε ( u ( t ) , v ) Γ C μ ( u τ ( t ) ) . σ ν ( u ( t ) ) . Ψ ε ( v ) d Γ ,

for all v V , where Ψ ε : R d R is the family of convex and differentiable function and satisfy the following property:

0 < Ψ ε ( v ) v ε .

The functionals j ε are Gateaux-differentiable and serve as approximations of j . Specifically, there exists a constant c > 0 satisfying the following inequality:

(29) j ε ( u ( t ) , v ) j ( u ( t ) , v ) c . ε , for all v V .

We denote by j ε : V × V R the derivative of j ε given by

(30) j ε ( u ε ( t ) , v ) , w = Γ C μ ( u ε τ ( t ) ) σ ν ( t ) . Ψ ε ( v τ ) w τ d Γ ,

where Ψ ε ( v ) w = v . w v 2 + ε 2 , for all u , v , w V .

Finally, the regularized problem associated with equations (11) to (13) is given by:

Problem (PVP) : Find a displacement field u ε : Ω × ( 0 , T ) R d and a stress field σ ε : Ω × ( 0 , T ) S d for all v V and ε > 0 such that

(31) σ ε ( t ) = V ε ( D t α 0 C u ε ( t ) ) + ε ( u ε ( t ) ) ,

(32) a ( D t α 0 C u ε ( t ) , v ) + b ( u ε ( t ) , v ) + 1 ε Φ ( u ε ( t ) , v ) + j ε ( u ε ( t ) , u ε ( t ) ) , v = ( f ( t ) , v ) ,

(33) u ε ( 0 ) = u 0 .

We have the following existence and convergence of penalized problem.

Theorem 4.1

Assuming the condition stated in Theorem 3.1, for any ε > 0 , we have the following:

  1. Problem (PVP) possesses at least one solution

    ( u ε , σ ε ) W 1 , 2 ( 0 , T ; V ) × L 2 ( 0 , T ; L 2 ( Ω , S d ) ) .

  2. The solution ( u ε , σ ε ) of Problem (PVP) converges to a solution of Problem (PV), i.e.,

    u u ε V 0 , σ σ ε V 0 , as ε 0 .

In this paragraph, we establish the existence result of the penalized problem by employing the Faedo-Galerkin approximation method.

Proof of (a) in Theorem 4.1

We will utilize the Faedo-Galerkin approximation method. Let { φ i } i N represent a complete orthonormal basis of L 2 ( Ω ) d .

Consisting of eigenfunction of the operator Δ . For a positive integer m , we are to find a function

(34) u ε m i = 1 m d i ( t ) φ i .

The components d i = ( d 1 , d 2 , , d n ) are chosen to be continuous in time and vector-valued functions. They are selected in such a way that satisfies the following conditions:

a ( D t α 0 C u ε m ( t ) , φ i ) + b ( u ε m ( t ) , φ i ) + 1 ε Φ ( u ε m ( t ) , φ i ) + j ε ( u ε m ( t ) , u ε m ( t ) ) , φ i = ( f ( t ) , φ i ) V ,

(35) u ε m ( 0 ) = u 0 .

We denote by F m the vector space generated by φ 1 , φ 2 , , φ n , such that u ε m F m and u ε m converges to u ε in V .

We consider the following approximation problem:

Find u ε m L 2 ( 0 , T ; F m ) such that D t α 0 C u ε m L 2 ( 0 , T ; F m ) and

(36) a ( D t α 0 C u ε m ( t ) , φ k ) + b ( u ε m ( t ) , φ k ) + 1 ε Φ ( u ε m ( t ) , φ k ) + j ε ( u ε m ( t ) , u ε m ( t ) ) , φ k = ( f ( t ) , φ k ) V ,

(37) u ε m ( 0 ) = u 0 .

Taking into account (34) for k = 1 , 2 , , m , we obtain

a ( D t α 0 C u ε m ( t ) , φ k ) = V D t α 0 C d i ( t ) , b ( u ε m ( t ) , φ k ) = d i ( t ) , Φ ( u ε m ( t ) , φ k ) = Φ i = 1 m d i ( t ) φ i , φ k , j ε ( u ε m ( t ) , u ε m ( t ) ) , φ k = j ε i = 1 m d i ( t ) φ i , i = 1 m d i ( t ) φ i , φ k , ( f ( t ) , φ k ) = f k ( t ) .

Thus, the vector function u ε m is a solution of (36)–(37) if the vector d ( t ) = ( d 1 ( t ) , , d n ( t ) ) satisfies the fractional ordinary differential equation:

(38) D t α 0 C d i ( t ) = h ( t , d i ( t ) ) , d i ( 0 ) = ( u ε 0 , φ i ) ,

for i = 1 , , m , where

h ( t , d i ( t ) ) = V 1 f k ( t ) d i ( t ) Φ i = 1 m d i ( t ) φ i , φ k + j ε i = 1 m d i ( t ) φ i , φ k .

Let d i 1 and d i 2 be two functions that satisfy (34). By employing ( H P 1 ) ( i i i ) , we obtain

(39) d i 1 ( t ) d i 2 ( t ) M b d i 1 ( t ) d i 2 ( t ) V .

Combining (28) and (8) with the given inequality

[ x ] + [ y ] + x y ,

we have

Φ i = 1 m d i 1 ( t ) φ i , φ k Φ i = 1 m d i 2 ( t ) φ i , φ k Γ C [ d i ν 1 ( t ) φ i ] + φ k d Γ Γ C [ d i ν 2 φ i ( t ) ] + φ k d Γ Γ C d i ν 1 ( t ) d i ν 2 ( t ) φ i φ k d Γ d i ν 1 ( t ) d i ν 2 ( t ) L 2 ( Γ C ) c d d i 1 ( t ) d i 2 ( t ) V .

Using (8), (30), and ( H P 3 ) , we can establish the existence of a positive constant c dependent on c 0 , ε , L μ , and μ * , satisfying

(40) j ε ( u ε m 1 ( t ) , u ε m 1 ( t ) ) , φ k j ε ( u ε m 2 ( t ) , u ε m 2 ( t ) ) , φ k = Γ C μ ( u ε m 1 ( t ) ) σ ν ( u ε m 1 ) u ε m ν 1 φ k ν ε 2 + u ε m ν 1 2 d Γ Γ C μ ( u ε m 2 ( t ) ) σ ν ( u ε m 2 ) u ε m ν 2 φ k ν ε 2 + u ε m ν 2 2 d Γ c d i 1 ( t ) d i 2 ( t ) V .

Combining relations (39) to (40), we can deduce the existence of a positive constant c such that

h ( t , d i 1 ( t ) ) h ( t , d i 2 ( t ) ) c d i 1 ( t ) d i 2 ( t ) .

By applying a standard method for fractional calculus as described in [26, Proposition 4.6], we can conclude that the system of fractional ordinary differential equations (38) possesses a unique solution d m on the interval [ 0 , T * ) .

In the following analysis, we establish a priori estimates to ensure that the function d is well defined on the interval [ 0 , T ] for all T > 0 . This enables us to consider the limit as n and find a global weak solution to Problem (PVP).

Estimate for u ε m :

To begin, multiply equation (36) by d i ( t ) , summing over i = 1 , , m . Utilizing the fact that u ε m 1 2 u ε m V 2 is a convex function, we obtain

D t α 0 C 1 2 a ( u ε m ( t ) , u ε m ( t ) ) a ( D t α 0 C u ε m ( t ) , u ε m ( t ) ) = ( f ( t ) , u ε m ( t ) ) V b ( u ε m ( t ) , u ε m ( t ) ) 1 ε Φ ( u ε m ( t ) , u ε m ( t ) ) j ε ( u ε m ( t ) , u ε m ( t ) ) , u ε m ( t ) .

For any λ > 0 and the following several calculations, we can deduce that

( f ( t ) , u ε m ( t ) ) V 1 2 λ f ( t ) V 2 + λ 2 u ε m ( t ) V 2 , m b u ε m ( t ) V 2 b ( u ε m ( t ) , u ε m ( t ) ) , 1 ε Φ ( u ε m ( t ) , u ε m ( t ) ) c d 2 ε u ε m ( t ) V 2 , j ε ( u ε m ( t ) , u ε m ( t ) ) , u ε m ( t ) μ * mes ( Γ C ) c 0 2 u ε m ( t ) V 2 .

Then,

(41) D t α 0 C 1 2 a ( u ε m ( t ) , u ε m ( t ) ) + c 1 u ε m ( t ) V 2 c 2 f ( t ) V 2 .

We use Proposition A.1 (c) to (41) and the coercivity of operator a , we have

(42) u ε m ( t ) V 2 + 2 c 1 m a Γ ( α ) 0 t ( t s ) α 1 u ε m ( s ) V 2 d s c 3 ( f V 2 + u 0 V 2 ) .

Therefore, we obtain T * = + .

Estimate for D t α 0 C u ε m :

Taking v = D t α 0 C u ε m ( t ) in (36), we obtain

a ( D t α 0 C u ε m ( t ) , D t α 0 C u ε m ( t ) ) + b ( u ε m ( t ) , D t α 0 C u ε m ( t ) ) + 1 ε Φ ( u ε m ( t ) , D t α 0 C u ε m ( t ) ) + j ε ( u ε m ( t ) , u ε m ( t ) ) , D t α 0 C u ε m ( t ) = ( f ( t ) , D t α 0 C u ε m ( t ) ) V .

However, since we have Ψ ( u , v ) 0 and j ε ( u , v ) , v 0 , and based on assumption ( H P 1 ) , we can conclude that

m a D t α 0 C u ε m ( t ) V * 2 1 2 λ f ( t ) V 2 + λ u ε m ( t ) V 2 + 1 2 λ D t α 0 C u ε m ( t ) V * 2 ,

where λ > 0 . Based on the estimate for u ε m , there exists a positive constant c such that

(43) sup t [ 0 , T ] D t α 0 C u ε m ( t ) V * c .

Passage to the limit

By combining the previous estimates with the compactness result from [27, Theorem 4.2] for the Caputo derivative, we can conclude that there exists a subsequence u ε τ m and u ε L 2 ( 0 , T ; V ) such that

u ε τ m u ε , strongly in L 2 ( 0 , T ; V ) , D t α 0 C u ε τ m D t α 0 C u ε , weakly in L 2 ( 0 , T ; V * ) ,

where τ m is a sequence such that τ m 0 , as m .

Furthermore, we have

a ( D t α 0 C u ε τ m ( t ) , v ) a ( D t α 0 C u ε ( t ) , v ) , in R , b ( u ε τ m ( t ) , v ) b ( u ε ( t ) , v ) , in R , σ ( u ε τ m ( t ) ) σ ( u ε ( t ) ) , in S d .

By utilizing the definitions of the operators Ψ and j ε , it can be observed that

Φ ( u ε m ( t ) , v ) c 0 ε u ε m ( t ) V . v L 2 ( Γ C ) d , j ε ( u ε m ( t ) , u ε m ( t ) ) , v μ * mes ( Γ C ) c 0 c 0 ε u ε m ( t ) V . v L 2 ( Γ C ) d .

Then, { Ψ ( u ε m ( t ) ) } m = 1 and { j ε ( u ε m ( t ) , u ε m ( t ) ) , v } m = 1 are bounded in R , and we may pass to a subsequence if it is necessary.

For v = u ε u ε τ m , we obtain

Φ ( u ε ( t ) , u ε ( t ) u ε τ m ( t ) ) Φ ( u ε τ m ( t ) , u ε ( t ) u ε τ m ( t ) ) c 0 2 u ε ( t ) u ε τ m ( t ) V 2

and

j ε ( u ε ( t ) , u ε ( t ) ) , u ε ( t ) u ε τ m ( t ) j ε ( u ε τ m ( t ) , u ε τ m ( t ) ) , u ε ( t ) u ε τ m ( t ) c u ε ( t ) u ε τ m ( t ) V 2 .

Due to the compactness of the trace operator γ : V L 2 ( Γ C ) d , it follows from the weak convergence of u ε τ m that

(44) u ε τ m u ε , strongly in L 2 ( 0 , T ; L 2 ( Γ C ) d ) .

Then,

Φ ( u ε τ m , v ) Φ ( u ε , v ) , in R , j ε ( u ε τ m , u ε τ m ) , v j ε ( u ε , u ε ) , v , in R .

Thus, we have successfully demonstrated the existence of a weak penalized solution to (31)–(33).□

Proof of (b) in Theorem 4.1

In this paragraph, we present a convergence result that involves the sequence u ε , D t α 0 C u ε , and [ u ε ν ] + . Based on equations (42) and (43), we can deduce that

(45) { u ε } is bounded in L 2 ( 0 , T ; V ) , { σ ε } is bounded in L 2 ( 0 , T ; L 2 ( Ω , S d ) ) , { D t α 0 C u ε } is bounded in L 2 ( 0 , T ; V * ) .

Estimate for [ u ε ν ] + :

Taking into account (28) and (42), we obtain

Φ ( [ u ε ν ] + , u ε n u ) = Γ C [ u ε ν ] + . u ε ν d Γ = u ε ν L 2 ( Γ C ) 2 c .

For almost every t [ 0 , T ] , integrating from 0 to t , we find

{ [ u ε ν ] + } is bounded in L 2 ( 0 , T ; L 2 ( Γ C ) d ) .

Passage to the limit in ε :

The result (45) ensures the existence of subsequences of u ε that converge again to u ε such that

(46) u ε u ˜ , weakly in L 2 ( 0 , T ; V ) , σ ε σ ˜ , weakly in L 2 ( 0 , T ; L 2 ( Ω , S d ) ) , D t α 0 C u ε D t α 0 C u ˜ , weakly in L 2 ( 0 , T ; V * ) .

Similar to (44), we can derive the following

(47) u ε u ˜ , strongly in L 2 ( 0 , T ; L 2 ( Γ C ) d ) , σ ε σ ˜ , strongly in L 2 ( 0 , T ; L 2 ( Γ C ) d ) , D t α 0 C u ε D t α 0 C u ˜ , strongly in L 2 ( 0 , T ; L 2 ( Γ C ) d ) .

According to boundedness of { [ u ε ν ] + } , we obtain

lim ε 0 [ u ε ν ] + g L 2 ( 0 , T ; L 2 ( Γ C ) d ) = [ u ν ] + g L 2 ( 0 , T ; L 2 ( Γ C ) d ) = 0 .

This implies that

[ u ν ] + = g , a.e. on Γ C , and u ˜ ν g , on Γ C .

Then,

u ˜ V a d .

For any v V , utilizing (29), (32), and the fact that Φ ( u ( t ) , v u ( t ) ) 0 , we can deduce that

σ ε ( t ) = V ε ( D t α 0 C u ε ( t ) ) + ε ( u ε ( t ) ) , a ( D t α 0 C u ε ( t ) , v u ε ( t ) ) + b ( u ε ( t ) , v u ε ( t ) ) + j ε ( u ε ( t ) , v ) j ε ( u ε ( t ) , u ε ( t ) ) = ( f ( t ) , v u ε ( t ) ) .

Considering (47), it is evident that

j ε ( u ε ( t ) , v ) j ε ( u ε ( t ) , u ε ( t ) ) j ( u ( t ) , v ) j ( u ( t ) , u ( t ) ) , in R .

For any v , w V , applying the coercivity of j ε and (29), we can conclude that

(48) j ε ( u ( t ) , v ) , w v V * , V j ε ( u ( t ) , w ) j ε ( u ( t ) , v ) j ( u ( t ) , w ) j ( u ( t ) , v ) + 2 c ε .

By combining (46) and (48), and taking the limit as ε 0 , we deduce that

σ ˜ ( t ) = V ε ( D t α 0 C u ˜ ( t ) ) + ε ( u ˜ ( t ) ) , a ( D t α 0 C u ˜ ( t ) , v u ˜ ( t ) ) + b ( u ˜ ( t ) , v u ˜ ( t ) ) + j ( u ˜ ( t ) , v ) j ( u ˜ ( t ) , u ˜ ( t ) ) = ( f ( t ) , v u ˜ ( t ) ) .

Finally, based on (11)–(13), we can conclude that ( u ˜ , σ ˜ ) = ( u , σ ) .□

5 Conclusion and future directions

In this article, we have examined parabolic problems that incorporate the fractional time-derivative operator. We also employed the Rothe method and the Banch method for mathematical purposes. Additionally, we developed an optimization problem by penalizing contact conditions and regularizing friction conditions. This study can be regarded as foundational for further research into other issues related to fractional viscoelastic contact with friction.

This work can serve as a foundation for studying other problems involving piezoelectric, thermo-viscoelastic, and thermo-piezo-viscoelastic behaviors, considering various types of contacts and frictions.

The work presented here encompasses various extensions and perspectives, including the following notable aspects:

  1. Exploring new contact problems inspired by current industrial projects, such as energy production.

  2. The mathematical and numerical analysis of problems, considering additional mechanical and physical properties such as magnetism.

  3. Studying contact models using optimization tools and associated optimal control problems to yield physically applicable results.

  4. Utilize numerical methods based on convex optimization, such as the projected conjugate gradient, alternating direction method of multipliers, and augmented Lagrangian, as well as deep learning techniques.

  5. Investigate contact models using optimization tools and address the associated optimal control problems.

Acknowledgement

The authors would like to express their gratitude to the anonymous referees for their valuable comments that have contributed to the improvement of this article.

  1. Funding information: The authors state that no funding is involved.

  2. Author contributions: All authors have made equal and significant contributions to this article. They have all read and approved the final version of the manuscript.

  3. Conflict of interest: The authors state no conflict interest.

  4. Ethical approval: The research conducted in this study is not associated with either human or animal use.

  5. Data availability statement: Data sharing is not applicable to this article as no datasets were generated or analyzed during this study.

Appendix

In this section, we provide a brief overview of some relevant results concerning fractional calculus and nonlinear analysis. More detailed information can be found in the following references: [25,2830].

Definition A.1

(Riemann-Liouville fractional integral) Let X be a Banach space and ( 0 , T ) be a finite time interval. The Riemann-Liouville fractional integral of order α > 0 for a given function f L 1 ( 0 , T ; X ) is defined by

I t α 0 f ( t ) = 1 Γ ( α ) 0 t ( t s ) α 1 f ( s ) d s , t ( 0 , T ) ,

where Γ ( . ) stands for the Gamma function defined by

Γ ( α ) = 0 t α 1 e t d t .

To complement the definition, we set I t 0 0 = I , where I is the identity operator, which means that I t 0 0 f ( t ) = f ( t ) for a.e. t ( 0 , T ) .

Definition A.2

(Caputo derivative of order 0 < α 1 ) Let X be a Banach space, 0 < α 1 and ( 0 , T ) be a finite time interval. For a given function f A C ( 0 , T ; W ) , the Caputo fractional derivative of f is defined by

D t α 0 C f ( t ) = I t 1 α 0 f ( t ) = 1 Γ ( 1 α ) 0 t ( t s ) α f ( s ) d s , t ( 0 , T ) .

The notation A C ( 0 , T ; X ) refers to the space of all absolutely continuous functions from ( 0 , T ) into X .

It is obvious that if α = 1 , the Caputo derivative reduces to the classical first-order derivative, i.e., we have

D t 1 0 C f ( t ) = I f ( t ) = f ( t ) , for a.e. t ( 0 , T ) .

Proposition A.1

Let X be a Banach space and α , β > 0 . Then, the following statements hold:

  1. For y L 1 ( 0 , T ; X ) , we have I t α 0 I t β 0 y ( t ) = I t α + β 0 y ( t ) , for a.e. t ( 0 , T ) .

  2. For y A C ( 0 , T ; X ) and α ( 0 , α ] , we have

    I t α 0 D t α 0 C y ( t ) = y ( t ) y ( 0 ) , for a.e. t ( 0 , T ) ,

  3. For y L 1 ( 0 , T ; X ) , we have D t α 0 C I t α 0 y ( t ) = y ( t ) , for a.e. t ( 0 , T ) .

Now, we introduce the generalized Caputo derivative based on the modified Riemnn-Liouville operator:

Definition A.3

Let 0 < γ < 1 and φ L loc 1 [ 0 , T ) . For any φ 0 R , we define the generalized Caputo derivative associated with φ 0 to be

(A1) D c γ : φ D c γ φ = J γ φ φ 0 g 1 γ = J γ ( φ φ 0 ) .

If φ X , we impose φ 0 = φ ( 0 + ) unless explicitly mentioned, and in this case, we call D c γ the Caputo derivative of order γ , where

{ v D ( R ) : M v R , supp ( v ) [ M v , + ) } ,

and D ( R ) is the space of distribution, which is the dual of D ( R ) = C c ( R ) . Clearly, is a linear vector space.

Proposition A.2

By the definition, we have the following claims:

  1. For any constant C , D c γ C = 0 .

  2. D c γ : X is a linear operator.

  3. For all φ X , 0 < γ 1 < 1 , and γ 2 > γ 1 1 , we have

    J γ 2 D c γ 1 φ = D c γ 1 γ 2 φ , γ 2 < γ 1 , J γ 2 γ 1 ( φ φ ( 0 + ) ) , γ 2 γ 1 .

  4. Suppose 0 < γ 1 < 1 . If f Y γ 1 , then D c γ 2 J γ 1 f = J γ 1 γ 2 f for 0 < γ 2 < 1 .

  5. If D c γ 1 φ X , then for 0 < γ 2 < 1 , 0 < γ 1 + γ 2 < 1 ,

    (A2) D c γ 2 D c γ 1 φ = D c γ 1 + γ 2 D c γ 1 φ ( 0 + ) g 1 γ 2 .

  6. J γ 1 D c γ φ = J 1 φ φ ( 0 + ) δ ( t ) . If we define this to be D c 1 , then for φ C 1 [ 0 , T ) , D c 1 φ = φ ,

where

X φ L loc 1 [ 0 , T ) : φ 0 R , lim t 0 + 1 t 0 t φ φ 0 d t = 0 ,

and

Y γ f L loc 1 [ 0 , T ) : lim T 0 + 1 T 0 T 0 t ( t s ) γ 1 f ( s ) d s d t = 0 .

Definition A.4

(Clarke generalized directional derivative and generalized gradient) Let J : X R be a locally Lipschitz function. We denote by J 0 ( u , v ) the Clarke generalized directional derivative of J at the point x X in the direction y X is defined by

J 0 ( x , y ) = limsup λ 0 + , z x J ( z + λ y ) J ( z ) λ .

The generalized gradient of J : X R at x X is defined by

J ( x ) = { ξ X * , J 0 ( x , y ) ξ , y X * , X , for all y X } .

Lemma A.1

Let { u n } , { v n } , and { w n } be nonnegative sequences satisfying

u n v n + k = 1 n 1 w k u k , for a l l n 1 .

Then, we have

u n v n + k = 1 n 1 v k w k exp j = k + 1 n 1 w j , for all n 1 .

Moreover, if { u n } and { w n } are such that

u n α = k = 1 n 1 w k u k , for a l l n 1 ,

where α > 0 is a constant, then for all n 1 , it holds

u n α exp k = 1 n 1 w k .

References

[1] W. Chen, H. G. Sun, and X. C. Li, Fractional Derivative Modeling in Mechanics and Engineering, Science Press, Beijing, 2010. Suche in Google Scholar

[2] A. A. Kilbas, H. M. Srivastava, and J. J. Trujillo, Theory and Applications of Fractional Differential Equations, vol. 204, Elsevier, New York, 2006. Suche in Google Scholar

[3] T. Pritz, Analysis of four-parameter fractional derivative model of real solid materials, J. Sound Vibrat. 195 (1996), no. 1, 103–115, DOI: https://doi.org/10.1006/jsvi.1996.0406. 10.1006/jsvi.1996.0406Suche in Google Scholar

[4] Z. H. Liu, D. Motreanu, and S. D. Zeng, Nonlinear evolutionary systems driven by quasi-hemivariational inequalities, Math. Method Appl. Sci. 41 (2018), no. 3, 1214–1229, DOI: https://doi.org/10.1002/mma.4660. 10.1002/mma.4660Suche in Google Scholar

[5] S. Müller, M. Kästner, J. Brummund, and V. Ulbricht, A nonlinear fractional viscoelastic material model for polymers, Comput. Materials Sci. 50 (2011), no. 10, 2938–2949, DOI: https://doi.org/10.1016/j.commatsci.2011.05.011. 10.1016/j.commatsci.2011.05.011Suche in Google Scholar

[6] F. Zeng, C. Li, F. Liu, and I. Turner, The use of finite difference/element approaches for solving the time-fractional subdiffusion equation, SIAM J. Scientif. Comput. 35 (2013), no. 6, 2976–3000, DOI: https://doi.org/10.1137/130910865. 10.1137/130910865Suche in Google Scholar

[7] I. Podlubny, Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, To Methods of Their Solution and Some of Their Applications, Elsevier, New York, 1998. Suche in Google Scholar

[8] X. J. Yang, Advanced Local Fractional Calculus and Its Applications, World Science Publisher, 2012. Suche in Google Scholar

[9] K. Diethelm, The analysis of fractional differential equations, Lecture Notes in Mathematics, Springer Berlin, Heidelberg, 2010. 10.1007/978-3-642-14574-2Suche in Google Scholar

[10] C. Li and M. Cai, Theory and numerical approximations of fractional integrals and derivatives, Society for Industrial and Applied Mathematics. 2019. 10.1137/1.9781611975888Suche in Google Scholar

[11] A. Kubica, K. Ryszewska, and M. Yamamoto, Time-Fractional Differential Equations: A Theoretical Introduction, Springer, Singapore, 2020. 10.1007/978-981-15-9066-5Suche in Google Scholar

[12] B. Jin, Fractional Differential Equations, Springer International Publishing, Cham, Switzerland, 2021. Suche in Google Scholar

[13] J. F. Han, S. Migórski, and H. D. Zeng, Weak solvability of a fractional viscoelastic frictionless contact problem, Appl. Math. Comput. 303 (2017), 1–18, DOI: https://doi.org/10.1016/j.amc.2017.01.009. 10.1016/j.amc.2017.01.009Suche in Google Scholar

[14] L. Li and J.-G. Liu, Some compactness criteria for weak solutions of time-fractional PDEs, SIAM J. Math. Anal. 50 (2018), no.4, 3963–3995, DOI: https://doi.org/10.1137/17M1145549. 10.1137/17M1145549Suche in Google Scholar

[15] S. Migorski, A. Ochal, and M. Sofonea, Nonlinear Inclusions and Hemivariational Inequalities: Models and Analysis of Contact Problems, Springer Science and Business Media, 2012. 10.1007/978-1-4614-4232-5Suche in Google Scholar

[16] A. A. Kilbas, S. G. Samko, and O. I. Marichev, Fractional Integrals and Derivatives: Theory and Applications, 1993. Suche in Google Scholar

[17] S. Zeng, Z. Liu, and S. Migórski, A class of fractional differential hemivariational inequalities with application to contact problem, Z. Angew. Math. Phys. 69 (2018), no. 35, 1–23.10.1007/s00033-018-0929-6Suche in Google Scholar

[18] T. Sathiyaraj, H. Chen, N. R. Babu, and H. Hassanabadi, Fractal-fractional-order stochastic chaotic model: A synchronization study, Results Control Optimiz. 12 (2023), 100290. 10.1016/j.rico.2023.100290Suche in Google Scholar

[19] T. Sathiyaraj, M. Fečkan, and J. Wang, Synchronization of fractional stochastic chaotic systems via Mittag-Leffler function, Fract. Fract. 6 (2022), no. 4, 192. 10.3390/fractalfract6040192Suche in Google Scholar

[20] S. Zeng and S. Migorski, A class of time-fractional hemivariational inequalities with application to frictional contact problem, Commun. Nonl. Sci. Numer. Simulat. 56 (2018), 34–48, DOI: https://doi.org/10.1016/j.cnsns.2017.07.016. 10.1016/j.cnsns.2017.07.016Suche in Google Scholar

[21] M. Bouallala and EL-H. Essoufi, A thermo-viscoelastic fractional contact problem with normal compliance and Coulomb’s friction, J. Math. Phys. Anal. Geometry 17 (2021), no. 3, 280–294, DOI: https://doi.org/10.15407/mag17.03.280. 10.15407/mag17.03.280Suche in Google Scholar

[22] M. Bouallala, EL-H. Essoufi, V. T. Nguyen, and W. Pang, A time-fractional of a viscoelastic frictionless contact problem with normal compliance, Eur. Phys. J.: Spec. Top. 232 (2023), 2549–2558. DOI: https://doi.org/10.1140/epjs/s11734-023-00962-x. 10.1140/epjs/s11734-023-00962-xSuche in Google Scholar

[23] Y. Y. Li, Y. Zhao, G. N. Xie, D. Baleanu, X. J. Yang, and K. Zhao, Local fractional Poisson and Laplace equations with applications to electrostatics in fractal domain, Adv. Math. Phys. 1 (2014), 590574.10.1155/2014/590574Suche in Google Scholar

[24] S. Migorski, A. Ochal, Quasi-static hemivariational inequality via vanishing acceleration approach, SIAM J. Math. Anal. 41 (2009), 1415–1435. 10.1137/080733231Suche in Google Scholar

[25] C. Carstensen and J. Gwinner, A theory of discretization for nonlinear evolution inequalities applied to parabolic Signorini problems, Annali di Matematica Pura ed Applicata 177 (1999), no. 1, 363–394. 10.1007/BF02505918Suche in Google Scholar

[26] F. Mainardi, Fractional Calculus and Waves in Linear Viscoelasticity: An Introduction to Mathematical Models, World Scientific, London, 2022. Suche in Google Scholar

[27] M. Dipaola, R. Heuer, and A. Pirrotta, Fractional visco-elastic Euler-Bernoulli beam, Int. J. Solids and Struct. 50 (2013), no. 22, 3505–3510, DOI: https://doi.org/10.1016/j.ijsolstr.2013.06.010. 10.1016/j.ijsolstr.2013.06.010Suche in Google Scholar

[28] F. H. Clarke, Optimization and Nonsmooth Analysis, Society for Industrial and Applied Mathematics, 1990. 10.1137/1.9781611971309Suche in Google Scholar

[29] L. Li and J.-G. Liu, A generalized definition of Caputo derivatives and its application to fractional odes, SIAM J. Math. Anal. 50 (2018), no. 3, 2867–2900, DOI: https://doi.org/10.1137/17M1160318. 10.1137/17M1160318Suche in Google Scholar

[30] Z. H. Liu, S. D. Zeng, and D. Motreanu, Partial differential hemivariational inequalities, Adv. Nonl. Anal. 7 (2018), no. 4, 571–586, DOI: https://doi.org/10.1515/anona-2016-0102. 10.1515/anona-2016-0102Suche in Google Scholar

Received: 2023-02-13
Revised: 2024-06-14
Accepted: 2024-08-06
Published Online: 2024-11-07

© 2024 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Artikel in diesem Heft

  1. Regular Articles
  2. On the p-fractional Schrödinger-Kirchhoff equations with electromagnetic fields and the Hardy-Littlewood-Sobolev nonlinearity
  3. L-Fuzzy fixed point results in -metric spaces with applications
  4. Solutions of a coupled system of hybrid boundary value problems with Riesz-Caputo derivative
  5. Nonparametric methods of statistical inference for double-censored data with applications
  6. LADM procedure to find the analytical solutions of the nonlinear fractional dynamics of partial integro-differential equations
  7. Existence of projected solutions for quasi-variational hemivariational inequality
  8. Spectral collocation method for convection-diffusion equation
  9. New local fractional Hermite-Hadamard-type and Ostrowski-type inequalities with generalized Mittag-Leffler kernel for generalized h-preinvex functions
  10. On the asymptotics of eigenvalues for a Sturm-Liouville problem with symmetric single-well potential
  11. On exact rate of convergence of row sequences of multipoint Hermite-Padé approximants
  12. The essential norm of bounded diagonal infinite matrices acting on Banach sequence spaces
  13. Decay rate of the solutions to the Cauchy problem of the Lord Shulman thermoelastic Timoshenko model with distributed delay
  14. Enhancing the accuracy and efficiency of two uniformly convergent numerical solvers for singularly perturbed parabolic convection–diffusion–reaction problems with two small parameters
  15. An inertial shrinking projection self-adaptive algorithm for solving split variational inclusion problems and fixed point problems in Banach spaces
  16. An equation for complex fractional diffusion created by the Struve function with a T-symmetric univalent solution
  17. On the existence and Ulam-Hyers stability for implicit fractional differential equation via fractional integral-type boundary conditions
  18. Some properties of a class of holomorphic functions associated with tangent function
  19. The existence of multiple solutions for a class of upper critical Choquard equation in a bounded domain
  20. On the continuity in q of the family of the limit q-Durrmeyer operators
  21. Results on solutions of several systems of the product type complex partial differential difference equations
  22. On Berezin norm and Berezin number inequalities for sum of operators
  23. Geometric invariants properties of osculating curves under conformal transformation in Euclidean space ℝ3
  24. On a generalization of the Opial inequality
  25. A novel numerical approach to solutions of fractional Bagley-Torvik equation fitted with a fractional integral boundary condition
  26. Holomorphic curves into projective spaces with some special hypersurfaces
  27. On Periodic solutions for implicit nonlinear Caputo tempered fractional differential problems
  28. Approximation of complex q-Beta-Baskakov-Szász-Stancu operators in compact disk
  29. Existence and regularity of solutions for non-autonomous integrodifferential evolution equations involving nonlocal conditions
  30. Jordan left derivations in infinite matrix rings
  31. Nonlinear nonlocal elliptic problems in ℝ3: existence results and qualitative properties
  32. Invariant means and lacunary sequence spaces of order (α, β)
  33. Novel results for two families of multivalued dominated mappings satisfying generalized nonlinear contractive inequalities and applications
  34. Global in time well-posedness of a three-dimensional periodic regularized Boussinesq system
  35. Existence of solutions for nonlinear problems involving mixed fractional derivatives with p(x)-Laplacian operator
  36. Some applications and maximum principles for multi-term time-space fractional parabolic Monge-Ampère equation
  37. On three-dimensional q-Riordan arrays
  38. Some aspects of normal curve on smooth surface under isometry
  39. Mittag-Leffler-Hyers-Ulam stability for a first- and second-order nonlinear differential equations using Fourier transform
  40. Topological structure of the solution sets to non-autonomous evolution inclusions driven by measures on the half-line
  41. Remark on the Daugavet property for complex Banach spaces
  42. Decreasing and complete monotonicity of functions defined by derivatives of completely monotonic function involving trigamma function
  43. Uniqueness of meromorphic functions concerning small functions and derivatives-differences
  44. Asymptotic approximations of Apostol-Frobenius-Euler polynomials of order α in terms of hyperbolic functions
  45. Hyers-Ulam stability of Davison functional equation on restricted domains
  46. Involvement of three successive fractional derivatives in a system of pantograph equations and studying the existence solution and MLU stability
  47. Composition of some positive linear integral operators
  48. On bivariate fractal interpolation for countable data and associated nonlinear fractal operator
  49. Generalized result on the global existence of positive solutions for a parabolic reaction-diffusion model with an m × m diffusion matrix
  50. Online makespan minimization for MapReduce scheduling on multiple parallel machines
  51. The sequential Henstock-Kurzweil delta integral on time scales
  52. On a discrete version of Fejér inequality for α-convex sequences without symmetry condition
  53. Existence of three solutions for two quasilinear Laplacian systems on graphs
  54. Embeddings of anisotropic Sobolev spaces into spaces of anisotropic Hölder-continuous functions
  55. Nilpotent perturbations of m-isometric and m-symmetric tensor products of commuting d-tuples of operators
  56. Characterizations of transcendental entire solutions of trinomial partial differential-difference equations in ℂ2#
  57. Fractional Sturm-Liouville operators on compact star graphs
  58. Exact controllability for nonlinear thermoviscoelastic plate problem
  59. Improved modified gradient-based iterative algorithm and its relaxed version for the complex conjugate and transpose Sylvester matrix equations
  60. Superposition operator problems of Hölder-Lipschitz spaces
  61. A note on λ-analogue of Lah numbers and λ-analogue of r-Lah numbers
  62. Ground state solutions and multiple positive solutions for nonhomogeneous Kirchhoff equation with Berestycki-Lions type conditions
  63. A note on 1-semi-greedy bases in p-Banach spaces with 0 < p ≤ 1
  64. Fixed point results for generalized convex orbital Lipschitz operators
  65. Asymptotic model for the propagation of surface waves on a rotating magnetoelastic half-space
  66. Multiplicity of k-convex solutions for a singular k-Hessian system
  67. Poisson C*-algebra derivations in Poisson C*-algebras
  68. Signal recovery and polynomiographic visualization of modified Noor iteration of operators with property (E)
  69. Approximations to precisely localized supports of solutions for non-linear parabolic p-Laplacian problems
  70. Solving nonlinear fractional differential equations by common fixed point results for a pair of (α, Θ)-type contractions in metric spaces
  71. Pseudo compact almost automorphic solutions to a family of delay differential equations
  72. Periodic measures of fractional stochastic discrete wave equations with nonlinear noise
  73. Asymptotic study of a nonlinear elliptic boundary Steklov problem on a nanostructure
  74. Cramer's rule for a class of coupled Sylvester commutative quaternion matrix equations
  75. Quantitative estimates for perturbed sampling Kantorovich operators in Orlicz spaces
  76. Review Articles
  77. Penalty method for unilateral contact problem with Coulomb's friction in time-fractional derivatives
  78. Differential sandwich theorems for p-valent analytic functions associated with a generalization of the integral operator
  79. Special Issue on Development of Fuzzy Sets and Their Extensions - Part II
  80. Higher-order circular intuitionistic fuzzy time series forecasting methodology: Application of stock change index
  81. Binary relations applied to the fuzzy substructures of quantales under rough environment
  82. Algorithm selection model based on fuzzy multi-criteria decision in big data information mining
  83. A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities
  84. Benchmarking the efficiency of distribution warehouses using a four-phase integrated PCA-DEA-improved fuzzy SWARA-CoCoSo model for sustainable distribution
  85. Special Issue on Application of Fractional Calculus: Mathematical Modeling and Control - Part II
  86. A study on a type of degenerate poly-Dedekind sums
  87. Efficient scheme for a category of variable-order optimal control problems based on the sixth-kind Chebyshev polynomials
  88. Special Issue on Mathematics for Artificial intelligence and Artificial intelligence for Mathematics
  89. Toward automated hail disaster weather recognition based on spatio-temporal sequence of radar images
  90. The shortest-path and bee colony optimization algorithms for traffic control at single intersection with NetworkX application
  91. Neural network quaternion-based controller for port-Hamiltonian system
  92. Matching ontologies with kernel principle component analysis and evolutionary algorithm
  93. Survey on machine vision-based intelligent water quality monitoring techniques in water treatment plant: Fish activity behavior recognition-based schemes and applications
  94. Artificial intelligence-driven tone recognition of Guzheng: A linear prediction approach
  95. Transformer learning-based neural network algorithms for identification and detection of electronic bullying in social media
  96. Squirrel search algorithm-support vector machine: Assessing civil engineering budgeting course using an SSA-optimized SVM model
  97. Special Issue on International E-Conference on Mathematical and Statistical Sciences - Part I
  98. Some fixed point results on ultrametric spaces endowed with a graph
  99. On the generalized Mellin integral operators
  100. On existence and multiplicity of solutions for a biharmonic problem with weights via Ricceri's theorem
  101. Approximation process of a positive linear operator of hypergeometric type
  102. On Kantorovich variant of Brass-Stancu operators
  103. A higher-dimensional categorical perspective on 2-crossed modules
  104. Special Issue on Some Integral Inequalities, Integral Equations, and Applications - Part I
  105. On parameterized inequalities for fractional multiplicative integrals
  106. On inverse source term for heat equation with memory term
  107. On Fejér-type inequalities for generalized trigonometrically and hyperbolic k-convex functions
  108. New extensions related to Fejér-type inequalities for GA-convex functions
  109. Derivation of Hermite-Hadamard-Jensen-Mercer conticrete inequalities for Atangana-Baleanu fractional integrals by means of majorization
  110. Some Hardy's inequalities on conformable fractional calculus
  111. The novel quadratic phase Fourier S-transform and associated uncertainty principles in the quaternion setting
  112. Special Issue on Recent Developments in Fixed-Point Theory and Applications - Part I
  113. A novel iterative process for numerical reckoning of fixed points via generalized nonlinear mappings with qualitative study
  114. Some new fixed point theorems of α-partially nonexpansive mappings
  115. Generalized Yosida inclusion problem involving multi-valued operator with XOR operation
  116. Periodic and fixed points for mappings in extended b-gauge spaces equipped with a graph
  117. Convergence of Peaceman-Rachford splitting method with Bregman distance for three-block nonconvex nonseparable optimization
  118. Topological structure of the solution sets to neutral evolution inclusions driven by measures
  119. (α, F)-Geraghty-type generalized F-contractions on non-Archimedean fuzzy metric-unlike spaces
  120. Solvability of infinite system of integral equations of Hammerstein type in three variables in tempering sequence spaces c 0 β and 1 β
  121. Special Issue on Nonlinear Evolution Equations and Their Applications - Part I
  122. Fuzzy fractional delay integro-differential equation with the generalized Atangana-Baleanu fractional derivative
  123. Klein-Gordon potential in characteristic coordinates
  124. Asymptotic analysis of Leray solution for the incompressible NSE with damping
  125. Special Issue on Blow-up Phenomena in Nonlinear Equations of Mathematical Physics - Part I
  126. Long time decay of incompressible convective Brinkman-Forchheimer in L2(ℝ3)
  127. Numerical solution of general order Emden-Fowler-type Pantograph delay differential equations
  128. Global smooth solution to the n-dimensional liquid crystal equations with fractional dissipation
  129. Spectral properties for a system of Dirac equations with nonlinear dependence on the spectral parameter
  130. A memory-type thermoelastic laminated beam with structural damping and microtemperature effects: Well-posedness and general decay
  131. The asymptotic behavior for the Navier-Stokes-Voigt-Brinkman-Forchheimer equations with memory and Tresca friction in a thin domain
  132. Absence of global solutions to wave equations with structural damping and nonlinear memory
  133. Special Issue on Differential Equations and Numerical Analysis - Part I
  134. Vanishing viscosity limit for a one-dimensional viscous conservation law in the presence of two noninteracting shocks
  135. Limiting dynamics for stochastic complex Ginzburg-Landau systems with time-varying delays on unbounded thin domains
  136. A comparison of two nonconforming finite element methods for linear three-field poroelasticity
Heruntergeladen am 5.2.2026 von https://www.degruyterbrill.com/document/doi/10.1515/dema-2024-0050/html
Button zum nach oben scrollen