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Article

Probing the Oscillatory Behavior of Internet Game Addiction via Diffusion PDE Model

Department of Mathematics, School of Electronics & Information Engineering, Taizhou University, Taizhou 318000, China
Axioms 2022, 11(11), 649; https://doi.org/10.3390/axioms11110649
Submission received: 11 October 2022 / Revised: 14 November 2022 / Accepted: 15 November 2022 / Published: 16 November 2022
(This article belongs to the Special Issue Differential Equations in Applied Mathematics)

Abstract

:
We establish a non-linear diffusion partial differential equation (PDE) model to depict the dynamic mechanism of Internet gaming disorder (IGD). By constructing appropriate super- and sub-solutions and applying Schauder’s fixed point theorem and continuation method, we study the existence and asymptotic stability of traveling wave solutions to probe into the oscillating behavior of IGD. An example is numerically simulated to examine the correctness of our outcomes.

1. Introduction

1.1. Background and Model

In the past decade, with the continuous popularization of the Internet, the number of Internet users has increased sharply. The convenience and other benefits of the Internet are obvious to all. However, there is also some harmful content on the Internet, such as pornography, violence, online games and so on. In particular, various types of Internet games are full of major Internet websites with legal identities. These Internet games have attracted a large number of game players, especially teenagers. Many game players become addicted to Internet games. People with Internet gaming addiction tend to be impulsive, violent, misanthropic and withdrawn. This not only brings great harm to the physical and mental health of Internet game addicts but also endangers society and their families. In recent years, the number of Internet game addicts has continued to rise. This phenomenon has been widely concerning and studied. The World Health Organization [1] has pointed out that Internet game addiction is a new disease. The disease is named Internet gaming disorder (IGD) and is characterized by “Persistent and recurrent use of the Internet to engage in games, often with other players, leading to clinically significant impairment or distress” [2]. IGD is often referred to as a mental illness. The Diagnostic and Statistical Manual of Mental Disorders [3,4] provides some classifications of IGD. In order to cure and reduce the number of people with IGD, scholars from all walks of life have begun to study IGD from various aspects. Some researchers [5,6,7,8,9] use mathematical theories and methods to study IGD by establishing mathematical models.
In this context, we also try to use calculus methods to establish a differential equation model to study IGD. To this end, we make the underlying assumptions as follows:
(i)
Internet game players are simply divided into two categories: moderate gamers M and addictive gamers A;
(ii)
Because it is very difficult to stop playing games through self-control, Internet game players M and A are treated.
(iii)
The spatial distribution of the number of Internet game players is very uneven, which is concentrated in places such as Internet cafes and schools, and then gradually decreases outward. Based on this, we assume that the population distribution of the two types of Internet game players is diffuse in space.
Below, we give the state changes in Internet game players, as shown in the Figure 1.
Based on the assumptions ( i ) ( iii ) , we explain the process described in Figure 1 in detail. M ( x , t ) and A ( x , t ) stand for the population density of moderate gamers and addictive gamers at time t and position x, respectively. In time period Δ t , the moderate gamers M have increased by α M ( x , t ) Δ t and δ A ( x , t ) Δ t because some non-gamers have become new gamers and some addictive gamers have converted to moderate gamers after treatment. In the meantime, the moderate gamers M have declined by β M ( x , t ) A ( x , t ) Δ t and γ 1 M ( x , t ) Δ t because some moderate gamers have become addictive gamers and another moderate gamers have converted to non-gamers after treatment. Vice versa, the addictive gamers A have only raised by β M ( x , t ) A ( x , t ) Δ t because of the transformation from moderate gamers to addictive gamers. At the same time, the addictive gamers M have reduced by δ A ( x , t ) Δ t and γ 2 A ( x , t ) Δ t because some addictive gamers have become moderate gamers and another addictive gamers have converted to non-gamers after treatment. Furthermore, we added the diffusion terms d 1 2 M x 2 Δ t and d 2 2 A x 2 Δ t , where d 1 and d 2 are the diffusion coefficients. Through the above analysis, we build a new model as follows:
M t = d 1 2 x 2 M ( x , t ) + α β M ( x , t ) A ( x , t ) γ 1 M ( x , t ) + δ A ( x , t ) , A t = d 2 2 x 2 A ( x , t ) + β M ( x , t ) A ( x , t ) ( γ 2 + δ ) A ( x , t ) ,
where ( x , t ) R × ( 0 , ) , α , β , δ , γ 1 , γ 2 , d 1 , d 2 > 0 are some constants.
Remark 1.
In (1), if there is lack of treatment and diffusion, then M + A = M ( 0 ) + A ( 0 ) + α t + , as t + . This will lead to everyone eventually becoming a gamer. Therefore, proper treatment is necessary. Moreover, there are two kinds of healing effects on addicted gamers. One is to cure them completely and make them non-gamers. The other is to reduce their addiction and make them moderate gamers. This shows that game addiction is a stubborn psychological disease. It is difficult to eradicate completely.

1.2. Significance and Contribution

The traveling wave solutions of non-linear reaction–diffusion equations have important applications in many disciplines, such as biological dynamics [10,11], epidemic dynamics [12,13,14] and tumor dynamics [15,16]. Therefore, the study of traveling wave solutions and their properties of diffusion of non-linear partial differential equation models has attracted the attention of many scholars. There have been many good works [17,18,19,20,21,22,23] dealing with the traveling wave of reaction–diffusion equations. Enlightened by the ideas and methods in these references, this paper focuses on the existence of traveling wave solutions to Equation (1). So, let M ( x , t ) = M ˜ ( ξ ) , A ( x , t ) = A ˜ ( ξ ) , ξ = x + c t   ( c > 0 ) , then (1) becomes
c M ˜ ( ξ ) d 1 M ˜ ( ξ ) = α β M ˜ ( ξ ) A ˜ ( ξ ) γ 1 M ˜ ( ξ ) + δ A ˜ ( ξ ) , c A ˜ ( ξ ) d 2 A ˜ ( ξ ) = β M ˜ ( ξ ) A ˜ ( ξ ) ( γ 2 + δ ) A ˜ ( ξ ) .
It is easy to verify that Equation (2) has a unique non-negative constant solution ( M ˜ ( ξ ) , A ˜ ( ξ ) ) = ( α γ 1 , 0 ) . Let M ( ξ ) = M ˜ ( ξ ) α γ 1 , A ( ξ ) = A ˜ ( ξ ) , then Equation (2) changes into
c M ( ξ ) d 1 M ( ξ ) = β M ( ξ ) A ( ξ ) γ 1 M ( ξ ) ( α β γ 1 1 δ ) A ( ξ ) , c A ( ξ ) d 2 A ( ξ ) = β M ( ξ ) A ( ξ ) + ( α β γ 1 1 γ 2 δ ) A ( ξ ) .
The whole paper requires the following assumptions.
( A )
For some given constants α , β , δ , γ 1 , γ 2 , d 1 , d 2 > 0 and an unknown constant c > 0 , there are γ 2 + δ < α β γ 1 1 and c > 2 d 2 ( α β γ 1 1 γ 2 δ ) .
The paper mainly includes the following contributions. ( a ) We propose a novel diffusion PDE (1) modeling Internet game addiction, which is rare in previous papers. ( b ) Based on Schauder’s fixed point theorem and continuation method, we study the existence and asymptotic stability of traveling waves of the model (1) to reveal the oscillating behavior of IGD. ( c ) Our research provides some theoretical help for the study and treatment of IGD. The remaining structure of the paper is as follows. Section 2 introduces super- and sub-solutions and their properties. Section 3 gives the detailed proof process of the existence of traveling waves. Section 4 studies the global asymptotic stability of traveling waves. In Section 5, we provide an example and carry out numerical simulation to examine the validity of our results. Section 6 is a brief summary.

2. Super- and Sub-Solutions

This section provides the upper and lower solutions of (3) and their properties. Define the super-solutions P ¯ ( ξ ) = e λ ξ , and Q ¯ ( ξ ) = e μ ξ , where
λ = c + c 2 + 4 d 1 γ 1 2 d 1 , μ = c + c 2 4 d 2 ( α β γ 1 1 γ 2 δ ) 2 d 2 .
By the condition ( B ) , one has λ , μ > 0 , and
c P ¯ ( ξ ) d 1 P ¯ ( ξ ) = γ 1 P ¯ ( ξ ) , c Q ¯ ( ξ ) d 2 Q ¯ ( ξ ) = ( α β γ 1 1 γ 2 δ ) Q ¯ ( ξ ) .
Take the sub-solutions P ̲ ( ξ ) = e λ ξ P e ( λ ϵ ) ξ and Q ̲ ( ξ ) = e μ ξ Q e ( μ ϵ ) ξ , where P , Q > 1 and ϵ ( 0 , min { λ , μ } ) are small enough such that
ρ = d 1 ( λ ϵ ) 2 + c ( λ ϵ ) > 0 , ϱ = d 2 ( μ ϵ ) 2 + c ( μ ϵ ) ( α β γ 1 1 γ 2 δ ) > 0 ,
ξ ̲ max ln P ϵ , ln Q ϵ < min 1 λ ln ρ ( α β γ 1 1 δ ) β γ 1 , 1 μ ln P γ 1 α β γ 1 1 δ ξ ¯ .
When ξ ̲ < ξ < ξ ¯ , we obtain P ̲ ( ξ ) , Q ̲ ( ξ ) > 0 , and
c P ̲ ( ξ ) d 1 P ̲ ( ξ ) + β P ̲ ( ξ ) Q ̲ ( ξ ) + γ 1 P ̲ ( ξ ) + ( α β γ 1 1 δ ) Q ̲ ( ξ ) = c λ e λ ξ P ( λ ϵ ) e ( λ ϵ ) ξ d 1 λ 2 e λ ξ P ( λ ϵ ) 2 e ( λ ϵ ) ξ + γ 1 e λ ξ P e ( λ ϵ ) ξ + β e λ ξ P e ( λ ϵ ) ξ e μ ξ Q e ( μ ϵ ) ξ + α β γ 1 1 δ e μ ξ b e ( μ ϵ ) ξ < P d 1 ( λ ϵ ) 2 P c ( λ ϵ ) P γ 1 e ( λ ϵ ) ξ + β e λ ξ e μ ξ + α β γ 1 1 δ e μ ξ < P ρ β e λ ξ e μ ξ + P γ 1 α β γ 1 1 δ e μ ξ e ( λ ϵ ) ξ < P ρ β · ρ ( α β γ 1 1 δ ) β γ 1 · P γ 1 α β γ 1 1 δ + P γ 1 α β γ 1 1 δ · P γ 1 α β γ 1 1 δ e ( λ ϵ ) ξ = 0 ,
c Q ̲ ( ξ ) d 2 Q ̲ ( ξ ) β P ̲ ( ξ ) Q ̲ ( ξ ) ( α β γ 1 1 γ 2 δ ) Q ̲ ( ξ ) = c μ e μ ξ Q ( μ ϵ ) e ( μ ϵ ) ξ d 2 μ 2 e μ ξ Q ( μ ϵ ) 2 e ( μ ϵ ) ξ β e λ ξ P e ( λ ϵ ) ξ e μ ξ Q e ( μ ϵ ) ξ ( α β γ 1 1 γ 2 δ ) e μ ξ Q e ( μ ϵ ) ξ < Q d 2 ( μ ϵ ) 2 + c ( μ ϵ ) ( α β γ 1 1 γ 2 δ ) e ( μ ϵ ) ξ = Q ϱ e ( μ ϵ ) ξ < 0 .
Let P ˜ ( ξ ) = max { 0 , P ̲ ( ξ ) } , Q ˜ ( ξ ) = max { 0 , Q ̲ ( ξ ) } , ξ R , then, we have
c P ˜ ( ξ ) d 1 P ˜ ( ξ ) + β P ˜ ( ξ ) Q ˜ ( ξ ) + γ 1 P ˜ ( ξ ) + ( α β γ 1 1 δ ) Q ˜ ( ξ ) 0 , ξ ln P ϵ ,
c Q ˜ ( ξ ) d 2 Q ˜ ( ξ ) β P ˜ ( ξ ) Q ˜ ( ξ ) ( α β γ 1 1 γ 2 δ ) Q ˜ ( ξ ) 0 , ξ ln Q ϵ .

3. Existence of Traveling Wave

This section mainly discusses the existence and non-existence of traveling waves and some properties of traveling waves. We boil them down to the following theorem.
Theorem 1.
Assume that ( A ) holds, then the following assertions are true:
( a )
For any c > c * = 2 d 2 ( α β γ 1 1 γ 2 δ ) , there is a traveling wave solution ( M ˜ * ( ξ ) , A ˜ * ( ξ ) ) of model (1) satisfying lim ξ M ˜ * ( ξ ) = α γ 1 , lim ξ A ˜ * ( ξ ) = 0 .
( b )
ξ 0 > 0 , when ξ ( , ξ 0 ) , M ˜ * ( ξ ) and A ˜ * ( ξ ) are monotone increasing functions.
( c )
There is no traveling wave solution of model (1) provided that c < c * .
( d )
lim inf ξ + M ˜ * ( ξ ) > α γ 1 , lim inf ξ + A ˜ * ( ξ ) > 0 .
Proof. 
(1) The proof of assertion ( a ) . Here, we prove it in two steps.
Step 1: Local existence of traveling wave. For c > 2 d 2 ( α β γ 1 1 γ 2 δ ) , consider a two-point BVP in ( l , l ) of the form
c M ( ξ ) d 1 M ( ξ ) = β M ¯ ( ξ ) A ¯ ( ξ ) γ 1 M ¯ ( ξ ) ( α β γ 1 1 δ ) A ¯ ( ξ ) F ( M ¯ ( ξ ) , A ¯ ( ξ ) ) , c A ( ξ ) d 2 A ( ξ ) = β M ¯ ( ξ ) M ¯ ( ξ ) + ( α β γ 1 1 γ 2 δ ) A ¯ ( ξ ) G ( M ¯ ( ξ ) , A ¯ ( ξ ) ) , M ( ± l ) = P ˜ ( ± l ) , A ( ± l ) = Q ˜ ( ± l ) , M ( ± l ) = P ˜ ( ± l ) , A ( ± l ) = Q ˜ ( ± l ) ,
where l > ξ ̲ , and
M ¯ ( ξ ) = M ( l ) , ξ < l , M ( ξ ) , l ξ l , M ( l ) , ξ > l , A ¯ ( ξ ) = A ( l ) , ξ < l , A ( ξ ) , l ξ l , A ( l ) , ξ > l .
By Section 2, for a solution ( M ( ξ ) , A ( ξ ) ) of (4), one has P ˜ ( ξ ) M ( ξ ) P ¯ ( ξ ) , Q ˜ ( ξ ) A ( ξ ) Q ¯ ( ξ ) . Introducing a norm
( u , v ) = max sup ξ [ l , l ] | u ( ξ ) | , sup ξ [ l , l ] | v ( ξ ) | , sup ξ [ l , l ] | u ( ξ ) | , sup ξ [ l , l ] | v ( ξ ) | ,
for ( u , v ) C 2 ( [ l , l ] , R 2 ) , then C 2 ( [ l , l ] , R 2 ) is a Banach space. Let ( P ˜ , Q ˜ ) = R 1 , ( P ¯ , Q ¯ ) = R 2 , R 3 = R 1 + R 1 d 1 c 1 e 2 c l d 1 1 + d 1 R 2 c 2 ( β R 2 + γ 1 + α β γ 1 1 δ ) e c l d 1 1 e c l d 1 e c l d 1 , R 4 = R 1 + R 1 d 1 c 1 e 2 c l d 2 1 + d 2 R 2 c 2 ( β R 2 + α β γ 1 1 γ 2 δ ) e c l d 2 1 e c l d 2 e c l d 2 , R = max { R 1 , R 2 , R 3 , R 4 } , Ω = { ( u , v ) C 2 ( [ l , l ] , R 2 ) : ( u , v ) < R + 1 } . For ( u , v ) Ω , define a mapping L = ( L 1 , L 2 ) T : Ω R 2 as
( L ( u , v ) ) ( ξ ) = ( L ( u , v ) ) ( ξ ) ( L ( u , v ) ) ( ξ ) ,
where
( L 1 ( u , v ) ) ( ξ ) = u ( l ) + u ( l ) e c l d 1 l ξ e c d 1 τ d τ 1 d 1 l ξ l τ e c d 1 ( s τ ) F ( u ¯ ( s ) , v ¯ ( s ) ) d s d τ ,
( L 2 ( u , v ) ) ( ξ ) = v ( l ) + v ( l ) e c l d 2 l ξ e c d 2 τ d τ 1 d 2 l ξ l τ e c d 2 ( s τ ) G ( u ¯ ( s ) , v ¯ ( s ) ) d s d τ .
By the boundary conditions, ( A ) and (6), we have
| ( L 1 ( u , v ) ) ( ξ ) | = | P ˜ ( l ) + P ˜ ( l ) e c l d 1 l ξ e c d 1 τ d τ 1 d 1 l ξ l τ e c d 1 ( s τ ) F ( u ¯ ( s ) , v ¯ ( s ) ) d s d τ | | P ˜ ( l ) | + | P ˜ ( l ) | e c l d 1 l l e c d 1 τ d τ + 1 d 1 l l l τ e c d 1 ( s τ ) | F ( u ¯ ( s ) , v ¯ ( s ) ) | d s d τ R 1 + R 1 d 1 c e 2 c l d 1 1 + 1 d 1 l l [ l l e c d 1 ( s τ ) [ β | u ¯ ( s ) | | v ¯ ( s ) ) | + γ 1 | u ¯ ( s ) | + ( α β γ 1 1 δ ) | v ¯ ( s ) | ] d s ] d τ R 1 + R 1 d 1 c 1 e 2 c l d 1 1 + d 1 R 2 c 2 ( β R 2 + γ 1 + α β γ 1 1 δ ) e c l d 1 1 e c l d 1 e c l d 1 = R 3 < R + 1 .
Similar to (7), we obtain
| ( L 2 ( u , v ) ) ( ξ ) | = | v ( l ) + v ( l ) e c l d 2 l ξ e c d 2 τ d τ 1 d 2 l ξ l τ e c d 2 ( s τ ) G ( u ¯ ( s ) , v ¯ ( s ) ) d s d τ | R 1 + R 1 d 1 c 1 e 2 c l d 2 1 + d 2 R 2 c 2 ( β R 2 + α β γ 1 1 γ 2 δ ) e c l d 2 1 e c l d 2 e c l d 2 = R 4 < R + 1 .
From (7) and (8), one knows that L ( Ω ) Ω . Obviously, L is continuous. Moreover, it is easy to prove by Arzela–Ascoli theorem that L is compact. Therefore, by applying Schauder’s fixed point theorem, L exists as a fixed point ( M l * ( ξ ) , A l * ( ξ ) ) Ω , which is the solution of (4). Furthermore, 0 P ˜ ( ξ ) M l * ( ξ ) < R + 1 and 0 Q ˜ ( ξ ) A l * ( ξ ) < R + 1 .
Step 2: Global continuation of traveling wave. For ( M l ( ξ ) , A l ( ξ ) ) , from the standard elliptic estimates, one derives that there is N 0 > 0 such that
M l ( ξ ) C 2 , ν ( l 2 , l 2 ) N 0 , A l ( ξ ) C 2 , ν ( l 2 , l 2 ) N 0 , l > max ln P ϵ , ln Q ϵ ,
where ν ( 0 , 1 ) is a constant. Taking l + , then, one has M l * ( ξ ) M * ( ξ ) , A l * ( ξ ) A * ( ξ ) in C loc 2 ( R ) , and ( M * ( ξ ) , A * ( ξ ) ) satisfies Equation (3). Noticing that 0 P ˜ ( ξ ) M * ( ξ ) e λ ξ = P ¯ ( ξ ) and 0 Q ˜ ( ξ ) A * ( ξ ) e μ ξ = Q ¯ ( ξ ) , we have lim ξ M * ( ξ ) = lim ξ A * ( ξ ) = 0 . Thus, M ˜ * ( ξ ) = M * ( ξ ) + α γ 1 and A ˜ * ( ξ ) = A * ( ξ ) satisfy the Equation (2).
Therefore, ( M ˜ * ( ξ ) , A ˜ * ( ξ ) ) is a traveling wave solution of (1) and satisfies lim ξ M ˜ * ( ξ ) = α γ 1 and lim ξ A ˜ * ( ξ ) = 0 .
(2) The proof of assertion ( b ) . For this purpose, we adopt the reduction to absurdity. Assume that, ξ > 0 , M * ( ξ ) , and A * ( ξ ) is non-monotonic in ( , ξ ) , then, there are two infinite points sequences { ξ k } k = 1 and { η k } k = 1 satisfying lim k ξ k = lim k η k = , lim k M * ( ξ k ) = lim k A ( η k ) = 0 , and M * ( ξ ) taking the maximum at ξ = ξ k ( k N + ) and A * ( ξ ) taking the minimum at ξ = η k ( k N + ) . Thus, we have
( M * ) ( ξ k ) = ( A * ) ( η k ) = 0 , ( M * ) ( ξ k ) < 0 , ( A * ) ( η k ) > 0 ,
which, together with ( A ) , implies that
0 < c ( M * ) ( ξ k ) d 1 ( M * ) ( ξ k ) = β M * ( ξ k ) A * ( ξ k ) γ 1 M * ( ξ k ) < 0 ,
and
0 > c ( A * ) ( η k ) d 2 ( A * ) ( η k ) = β M * ( η k ) A * ( η k ) + ( α β γ 1 1 γ 2 δ ) A * ( η k ) > 0 .
Obviously, (9) and (10) are contradictory in themselves. So, there is a constant ξ 0 > 0 such that M * ( ξ ) and A * ( ξ ) are all monotonous in ( , ξ 0 ) . Moreover, assume that M * ( ξ ) and A * ( ξ ) are all monotonically decreasing in ( , ξ 0 ) , then, for any ξ 0 > ξ > , we have 0 < M * ( ξ ) < M * ( ) = 0 and 0 < A * ( ξ ) < A * ( ) = 0 , which is an evident fallacy. Therefore, M * ( ξ ) and A * ( ξ ) are all monotonically increasing in ( , ξ 0 ) . By M ˜ * ( ξ ) = M * ( ξ ) + α γ 1 and A ˜ * ( ξ ) = A * ( ξ ) , one knows that M ˜ * ( ξ ) and A ˜ * ( ξ ) are all monotonically increasing in ( , ξ 0 ) as well.
(3) The proof of assertion ( c ) . We still adopt the fallacy reduction. Assume that, when c < c * , the model (1) has a traveling wave solution ( M ˜ ( ξ ) , A ˜ ( ξ ) ) , then, the Equation (3) has a traveling wave solution M ( ξ ) = M ˜ ( ξ ) α γ 1 , A ( ξ ) = A ˜ ( ξ ) . Choose an infinite point sequence { ξ k } k = 1 such that lim k ξ k = , and let M k ( ξ ) = M ( ξ + ξ k ) M ( ξ k ) , A k ( ξ ) = A ( ξ + ξ k ) A ( ξ k ) , M ^ k ( ξ ) = M ( ξ + ξ k ) and A ^ k ( ξ ) = A ( ξ + ξ k ) , then, M ^ k ( ξ ) and A ^ k ( ξ ) satisfy the Equation (3), which yields
c A ^ k ( ξ ) d 2 A ^ k ( ξ ) = β M ^ k ( ξ ) A ^ k ( ξ ) + ( α β γ 1 1 γ 2 δ ) A ^ k ( ξ ) .
Dividing by A ( ξ k ) at both ends of (11) leads to
c A k ( ξ ) d 2 A k ( ξ ) = β M ^ k ( ξ ) A k ( ξ ) + ( α β γ 1 1 γ 2 δ ) A k ( ξ ) .
In addition, M k ( 0 ) = A k ( 0 ) = 1 and ( M ^ k ( ξ ) , A ^ k ( ξ ) ) ( 0 , 0 ) as k because of ( M ( ξ ) , A ( ξ ) ) ( 0 , 0 ) as ξ . Setting k on both sides of (12), and denoting lim k A k ( ξ ) = A 0 ( ξ ) in C loc 2 ( R ) , then, we obtain
c A 0 ( ξ ) d 2 A 0 ( ξ ) = ( α β γ 1 1 γ 2 δ ) A 0 ( ξ ) .
The general solution of ODE (13) is
A 0 ( ξ ) = C 1 e μ 1 ξ + C 2 e μ 2 ξ ,
where C 1 , C 2 are two arbitrary constants, and the characteristic roots
μ 1 , 2 = c ± c 2 4 d 2 ( α β γ 1 1 γ 2 δ ) 2 d 2 .
Moreover, A k ( 0 ) = 1 implies A 0 ( 0 ) = 1 . Since A k ( ξ ) > 0 is monotonically increasing, A 0 ( ξ ) > 0 is monotonically increasing, too, which indicates that μ 1 , 2 R . Thus, we obtain c > c * = 2 d 2 ( α β γ 1 1 γ 2 δ ) , which is contradictory to c < c * . So, the model (1) has no traveling wave solution when c < c * .
(4) The proof of assertion ( d ) . Let us first prove that lim inf ξ + [ M * ( ξ ) + A * ( ξ ) ] > 0 . Indeed, since M * ( ξ ) , A * ( ξ ) > 0 , one has lim inf ξ + [ M * ( ξ ) + A * ( ξ ) ] 0 . Now, we just need to prove lim inf ξ + [ M * ( ξ ) + A * ( ξ ) ] 0 . By application of fallacy reduction, suppose that the conclusion is not true, then, there is an infinite point sequence { ζ k } ) k = 1 such that lim k ζ k = + and lim k [ M * ( ζ k ) + A * ( ζ k ) ] = 0 , which deduces lim k M * ( ζ k ) = lim k A * ( ζ k ) = 0 . Let ζ k = ω k , M * ( ζ k ) = M ^ * ( ζ k ) and A * ( ζ k ) = A ^ * ( ζ k ) , then lim k ω k = , lim k M ^ * ( ω k ) = lim k A ^ * ( ω k ) = 0 , M ^ * ( ω k ) and A ^ * ( ω k ) satisfy
( c ) A ^ ( ω k ) d 2 A ^ ( ω k ) = β M ^ ( ω k ) A ^ ( ω k ) + ( α β γ 1 1 γ 2 δ ) A ^ ( ω k ) .
Meanwhile, from the assertion ( b ) , we know that M * ( ω k ) and A * ( ω k ) are monotonically increasing in ( , ξ 0 ) . Similar to the proof process of assertion ( c ) , only when c > 2 d 2 ( α β γ 1 1 γ 2 δ ) , M * ( ω k ) and A * ( ω k ) satisfying (15) are monotonically increasing in ( , ξ 0 ) . Thus, we obtain c < 2 d 2 ( α β γ 1 1 γ 2 δ ) = c * , which is contradictory to the hypothesis c > c * .
Next, we show that lim inf ξ + M * ( ξ ) > 0 and lim inf ξ + A * ( ξ ) > 0 . One can easily obtain lim inf ξ + M * ( ξ ) 0 and lim inf ξ + A * ( ξ ) 0 due to M * ( ξ ) , A * ( ξ ) > 0 . Now, we apply the proof by contradiction to prove that lim inf ξ + M * ( ξ ) 0 and lim inf ξ + A * ( ξ ) 0 . Consider lim inf ξ + M * ( ξ ) 0 at first, if lim inf ξ + M * ( ξ ) = 0 , there exists an infinite point { ξ k } k = 1 such that lim k ξ k = + and lim k M * ( ξ k ) = 0 . For A * ( ξ ) , there are two cases, namely, Case 1: lim inf k A * ( ξ k ) = 0 and Case 2: lim inf k A * ( ξ k ) > 0 . In Case 1, there is a sub-sequence { ξ k * } { ξ k } such that lim k A * ( ξ k * ) = lim k M * ( ξ k * ) = 0 . Similar to the proof of lim inf ξ + [ M * ( ξ ) + A * ( ξ ) ] > 0 , we find the contradiction between c > c * and c < c * . In Case 2, there is a sub-sequence { ξ k * * } { ξ k } such that lim k A * ( ξ k * * ) > 0 and lim k M * ( ξ k * * ) = 0 and satisfies
c ( M * ) ( ξ k * * ) d 1 ( M * ) ( ξ k * * ) = β M * ( ξ k * * ) A * ( ξ k * * ) γ 1 M ( ξ k * * ) ( α β γ 1 1 δ ) A * ( ξ k * * ) .
It is worth noting that we apply lim k M * ( ξ k * * ) = 0 and Taylor expansion formula to obtain lim k ( M * ) ( ξ k * * ) = lim k ( M * ) ( ξ k * * ) = 0 . So, taking the limit k at both ends of (16), we have 0 = 0 ( α β γ 1 1 δ ) lim k A * ( ξ k * * ) < 0 , which is an evident falsehood. Thus, we completed the proof of lim inf ξ + M * ( ξ ) > 0 . Similar discussions can prove that lim inf ξ + A * ( ξ ) > 0 hold, and the specific proof process is omitted. Noticing the transformation M ( ξ ) = M ˜ ( ξ ) α γ 1 and A ( ξ ) = A ˜ ( ξ ) , one obtains lim inf ξ + A ˜ * ( ξ ) > α γ 1 and lim inf ξ + A ˜ * ( ξ ) > 0 .
So far, we completed the proof of all the propositions of the Theorem 1. □

4. Asymptotical Stability of Traveling Wave

This section focuses on the stability of the traveling wave solution of the model (1). Some preparatory work is necessary. According to the actual situation, our model considers the distribution and change in the number of Internet game addicts in a fixed spatial area, so we assume that there is no flow between the population in the spatial area and the outside of the area. Based on this assumption, we give the initial and boundary value conditions for the model (1) as follows:
M ( x , t ) ν = A ( x , t ) ν = 0 , ( x , t ) Λ × R + , M ( x , 0 ) = ϕ 1 ( x ) , A ( x , 0 ) = ϕ 2 ( x ) , x Λ ,
here, R + = ( 0 , ) , Λ R is bounded with smooth boundary Λ , ν is outer normal vector of Λ and ϕ 1 ( x ) , ϕ 2 ( x ) > 0 are continuous.
Let X = C 3 ( Λ ¯ × R + , R 2 ) be a Banach space, then X + = { ( u , v ) X : u > 0 , v > 0 } is a closed positive cone of X . We discuss the stability of traveling wave solutions of model (1). Obviously, ( M ( x , t ) , A ( x , t ) ) = ( α γ 1 , 0 ) is a non-negative constant stationary solution of model (1). Here, we have the following result about the stability of the model (1).
Theorem 2.
If ( A ) is true, then the traveling wave solution ( M * ( x , t ) , A * ( x , t ) ) of model (1) satisfying condition (17) is globally asymptotically stable in X + .
Proof. 
Let M ( x , t ) = M ( x , t ) α γ 1 and A ( x , t ) = A ( x , t ) , then system (1) and condition (17) change into
M t = d 1 Δ M β M A γ 1 M ( α β γ 1 1 δ ) A , ( x , t ) Λ × R + , A t = d 2 Δ A + β M A + ( α β γ 1 1 γ 2 δ ) A , ( x , t ) Λ × R + , M ( x , t ) ν = A ( x , t ) ν = 0 , ( x , t ) Λ × R + , M ( x , 0 ) = ϕ 1 ( x ) α γ 1 , A ( x , 0 ) = ϕ 2 ( x ) , x Λ .
Now, it suffices to prove that the traveling wave solution ( M * ( x , t ) , A * ( x , t ) ) of (18) is globally asymptotically stable in X + . To this end, build a functional V ( t ) = Λ [ M ( x , t ) + A ( x , t ) ] d x . Obviously, V ( t ) is smooth, V ( t ) > 0 for all t 0 and V ( 0 ) = 0 in X + . It follows from [24] that { t R : V ( t ) μ } is bounded for μ 0 . Thus, calculating the derivative of V ( t ) along (18), we have
d V d t = Λ M t + A t d x = Λ [ d 1 Δ M β M A γ 1 M ( α β γ 1 1 δ ) A + d 2 Δ A + β M A + ( α β γ 1 1 γ 2 δ ) A ] d x = Λ d 1 Δ M + d 2 Δ A γ 1 M γ 2 A d x = Λ d 1 Δ M + d 2 Δ A d x Λ γ 1 M + γ 2 A d x .
From the boundary value condition M ( x , t ) ν = A ( x , t ) ν = 0 , we obtain
Λ Δ M d x = M x | Λ = 0 , Λ Δ A d x = A x | Λ = 0 .
(19) and (20) yield
d V d t = Λ γ 1 M + γ 2 A d x < 0 .
In view of (21) and [24], we know that V ( t ) is a Lyapunov function of (18). From the parabolic L p -theory, the Sobolev Embedding Theorem and the standard compactness argument [25], we conclude that there are some constants N , t 0 > 0 such that M C 2 ( Λ ¯ ) + A C 2 ( Λ ¯ ) N , t > t 0 . So, we apply the Sobolev Embedding Theorem [26] to obtain that ( M , A ) ( 0 , 0 ) in L 2 ( Λ ) × L 2 ( Λ ) , as t . Additionally, d V d t = 0 iff ( M , A ) = ( 0 , 0 ) , which leads to { ( M , A ) : d V d t = 0 } = { ( 0 , 0 ) } . Thus, according to Lyapunov stability theory, we conclude that the traveling wave solution ( M * ( x , t ) , A * ( x , t ) ) of (18) is globally asymptotically stable in X + . The proof is completed. □

5. Numerical Simulation

Consider the following non-linear diffusion PDE model of IGD
M t = d 1 Δ M + α β M A γ 1 M + δ A , ( x , t ) Λ × R + , A t = d 2 Δ A + β M A ( γ 2 + δ ) A , ( x , t ) Λ × R + , M ( x , t ) ν = A ( x , t ) ν = 0 , ( x , t ) Λ × R + , M ( x , 0 ) = ϕ 1 ( x ) , A ( x , 0 ) = ϕ 2 ( x ) , x Λ ,
where R + = ( 0 , ) , Λ = ( 0 , 10 ) , α = 10 , β = 6 , γ 1 = 3   γ 2 = 2 , δ = 3 , d 1 = 0.5 , d 2 = 0.8 , ϕ 1 ( x ) = 5 + 3 sin ( x ) , ϕ 2 ( x ) = 7 + 4 cos ( x ) .
A simple calculation gives 5 = γ 2 + δ < α β γ 1 1 = 20 and c * = 2 d 2 ( α β γ 1 1 γ 2 δ ) = 8. The condition ( A ) holds. According to Theorem 1 and Theorem 2, for any c > c * = 8 , the model (22) has a traveling wave solution ( M ˜ * ( ξ ) , A ˜ * ( ξ ) ) , which is globally asymptotically stable.
Figure 2 shows that when the initial conditions are the periodic functions ϕ 1 ( x ) = 5 + 3 sin ( x ) and ϕ 2 ( x ) = 7 + 4 cos ( x ) , the system (22) exists as a globally asymptotically stable oscillatory periodic traveling wave solution.

6. Conclusions

In the last decade, with the popularity of the Internet, the number of Internet users has continued to increase. While people enjoy the convenience and benefits brought by the Internet, some disadvantages brought by the Internet also begin to appear gradually. For example, Internet game addiction endangers the physical and mental health of players. In particular, many young addictive gamers are trapped in it. Many scholars, including mathematicians, have begun to pay attention to and study this phenomenon. Through the analysis of the dynamic change process of Internet gamers, we put forward a new non-linear diffusion PDE model (1) of IGD in this paper. By applying fixed point theory and Lyapunov stability theory, we study the existence and asymptotic stability of the traveling wave of model (1). With the help of the MATLAB toolbox, an example is numerically simulated to examine the correctness of our outcomes. The major findings of the paper provide theoretical help for the research and treatment of Internet game addiction. For example, our results show that appropriate treatment can ensure that the number of gamers is bounded without unlimited increase. The population density of gamers will gradually stabilize at ( α γ 1 , 0 ) , which suggests that we can eventually make the gamers disappear by reducing the number of moderate gamers and strengthening their treatment. Our work provides an example for applying mathematical theories and methods to solve social problems such as Internet game addiction, which makes the study of this kind of problem transform from qualitative research to quantitative research. In addition, recently published papers [27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46] enlighten us to discuss the existence, exponential stability and Ulam–Hyers stability of model (1) in the sense of fractional calculus in the future.

Funding

The APC was funded by research start-up funds for high-level talents of Taizhou University.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The author would like to express his heartfelt gratitude to the editors and reviewers for their constructive comments.

Conflicts of Interest

The author declares no conflict of interest.

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Figure 1. General scheme of the state transition of Internet gamers in our modeling.
Figure 1. General scheme of the state transition of Internet gamers in our modeling.
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Figure 2. Evolutions of M ( x , t ) and A ( x , t ) over time t.
Figure 2. Evolutions of M ( x , t ) and A ( x , t ) over time t.
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Zhao, K. Probing the Oscillatory Behavior of Internet Game Addiction via Diffusion PDE Model. Axioms 2022, 11, 649. https://doi.org/10.3390/axioms11110649

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Zhao K. Probing the Oscillatory Behavior of Internet Game Addiction via Diffusion PDE Model. Axioms. 2022; 11(11):649. https://doi.org/10.3390/axioms11110649

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Zhao, Kaihong. 2022. "Probing the Oscillatory Behavior of Internet Game Addiction via Diffusion PDE Model" Axioms 11, no. 11: 649. https://doi.org/10.3390/axioms11110649

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