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Research article

Sensitivity analysis unveils the interplay of drug-sensitive and drug-resistant Glioma cells: Implications of chemotherapy and anti-angiogenic therapy

  • Received: 01 November 2023 Revised: 05 December 2023 Accepted: 07 December 2023 Published: 14 December 2023
  • This study presented a glioma growth model that accounts for drug-sensitive and drug-resistant cells in response to chemotherapy and anti-angiogenic therapy. Chemotherapy induces mutations in drug-sensitive cells, leading to the emergence of drug-resistant cells and highlighting the benefits of combined therapy. Anti-angiogenic therapy can mitigate mutations by inducing angiogenic dormancy. We have identified two reproduction numbers associated with the non-cell and disease-free states. Numerical sensitivity analysis has highlighted influential parameters that control glioma growth dynamics, emphasizing the interactions between drug-sensitive and drug-resistant cells. To reduce glioma endemicity among sensitive cases, it was recommended to decrease chemotherapy expenditure, increase angiogenic dormancy, and adjust chemotherapy infusion rates. In addition, to combat resistance to glioma endemicity, enhancing angiogenic dormancy is crucial.

    Citation: Latifah Hanum, Dwi Ertiningsih, Nanang Susyanto. Sensitivity analysis unveils the interplay of drug-sensitive and drug-resistant Glioma cells: Implications of chemotherapy and anti-angiogenic therapy[J]. Electronic Research Archive, 2024, 32(1): 72-89. doi: 10.3934/era.2024004

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  • This study presented a glioma growth model that accounts for drug-sensitive and drug-resistant cells in response to chemotherapy and anti-angiogenic therapy. Chemotherapy induces mutations in drug-sensitive cells, leading to the emergence of drug-resistant cells and highlighting the benefits of combined therapy. Anti-angiogenic therapy can mitigate mutations by inducing angiogenic dormancy. We have identified two reproduction numbers associated with the non-cell and disease-free states. Numerical sensitivity analysis has highlighted influential parameters that control glioma growth dynamics, emphasizing the interactions between drug-sensitive and drug-resistant cells. To reduce glioma endemicity among sensitive cases, it was recommended to decrease chemotherapy expenditure, increase angiogenic dormancy, and adjust chemotherapy infusion rates. In addition, to combat resistance to glioma endemicity, enhancing angiogenic dormancy is crucial.



    In this paper, we study the following quasi-linear bi-hyperbolic equation:

    wtt+Δ2wΔw=bf(Δw),inΩ×[0,T), (1.1)

    under the following dynamic boundary conditions,

    w=0,Δwη=aΔwt,inΓ×[0,T), (1.2)

    and initial conditions

    w(x,0)=w0(x),wt(x,0)=w1(x),xΩ, (1.3)

    where a0, b0, t0, xΩ, Ω is an open bounded connected region in Rn (n1) with a smooth boundary Γ:=Ω, and η(x) represents an outer unit normal vector to the boundary Γ.

    The Eq (1.1) represents a mathematical model of a wave process in a physical domain Ω over a time interval [0,T). This wave equation involves wtt as the second-time derivative representing acceleration over time, Δ2w as the second-order spatial Laplacian indicating wave irregularities, Δw as the first-order Laplacian reflecting propagation speed within the wave, and bf(Δw) as a nonlinear term depicting wave interaction with its negative Laplacian. Overall, these equations and conditions provide a framework for understanding wave behavior, interactions at boundaries, and the evolution of waves from specified initial conditions within a physical space. Applications of such equations extend to various areas, including acoustics, electromagnetics, and mechanics, where wave phenomena play a crucial role in modeling and analysis.

    First, we mention some known results of higher-order differential equations under dynamic boundary conditions related to the problems (1.1)–(1.3). Dynamic boundary conditions introduce dependencies on both time and space variables, influencing the behavior and evolution of solutions within specific domains. Recent research has highlighted the significance of dynamic boundary conditions in various mathematical contexts, particularly in studying wave propagation, heat transfer, fluid dynamics, and other physical phenomena. Notably, works by Vasconcellos and Teixeira [1] have explored the implications of dynamic boundary conditions on well-posedness. They considered, for n3, the following problem:

    {utt+Δ2uϕ(Ω|u|2dx)Δu+g(ut)=0,onΩ×(0,T),u=uν=0,onΓ×(0,T),

    where ϕ is a non-negative continuous real differentiable function, and g is a continuous non-decreasing real function. They proved the existence and uniqueness of global solutions. Guedda and Labani [2] studied the problem

    {utt+Δ2u+δutϕ(Ω|u|2dx)Δu=f(u),onΩ×(0,T),u=0,Δu+p(x)utν=0,onΓ×(0,T),

    where p0 is a smooth function defined on the boundary of Ω. They studied the global nonexistence of solutions under certain conditions on f and ϕ. Later, Wu and Tsai [3] considered the initial boundary value problem for a Kirchhoff-type plate equation with a source term in a bounded domain. They established the existence of a global solution using an argument similar to that in [4]. Vitillaro conducted a study in 2017 focusing on dynamic boundary conditions. In this work [5], a wave equation with hyperbolic dynamic boundary conditions, interior and boundary damping effects, and supercritical sources was investigated.

    Several authors have extensively studied blow-up phenomena and global nonexistence (see [4,6,7,8,9]). Levine [8] introduced the concavity method and investigated the nonexistence of global solutions with negative initial energy. Subsequently, Georgiev and Todorova [4] expanded upon Levine's work. In 2002, Vitillaro [10] further refined the results of Georgiev and Todorova for systems with positive initial energy. Vitillaro also explored blow-up phenomena for wave equations with dynamic boundary conditions in [9]. Additionally, Can et al. [6,7] investigated the blow-up properties of (1.1) under various boundary conditions, assuming non-positive initial energy. While their result is achieved by applying the Ladyzhenskaya and Kalantarov lemma [11], along with a generalized concavity method, our approach is based on the blow-up lemma by Korpusov [12], which is another application of the concavity method. In our study of problems (1.1)–(1.3), we obtained both a local existence result and a blow-up result under positive initial energy.

    The paper is structured as follows. Section 2 provides essential definitions, theorems, and inequalities. In Section 3, we initially employ the Galerkin approximation method to investigate the existence of the corresponding linear problems (3.1)–(3.3). Subsequently, utilizing the contraction mapping principle, we establish the local existence and uniqueness of regular solutions for problems (1.1)–(1.3). Finally, in the last section, we deduce the blow-up solutions for problems (1.1)–(1.3) under the condition of positive initial energy.

    The Sobolev space is defined by Wk,p(Ω):={uLp(Ω):DαuLp(Ω),0|α|k} for 1p<, equipped with the following norm:

    uWk,p(Ω):=(0|α|kDαupLp(Ω))1/p.

    We denote by Hk(Ω)=Wk,2(Ω) the Hilbert-Sobolev space. Throughout this paper, we denote .L2(Ω)=.2.

    Definition 2.1. Let w(t) be a weak solution of the problem defined by Eqs (1.1)–(1.3). We define the maximal existence time T as follows:

    (ⅰ) If w(t) exists for 0T<, then T=+.

    (ⅱ) If there exists a T0(0,) such that w(t) exists for 0T<T0, but does not exist at T=T0, then T=T0.

    In order to prove the blow-up result, we will utilize the following lemma due to Korpusov.

    Lemma 2.2. [12] Let ψ(t)C2(0,T) and consider the differential inequality

    ψψα(ψ)2+γψψ+βψ0,α>1,β0,γ0.

    Assume that the following conditions

    ψ(0)>γα1ψ(0),and(ψ(0)γα1ψ(0))2>2β2α1ψ(0),

    hold with ψ(t)0, and ψ(0)>0. Then the time T>0 can not be arbitrarily large. That is,

    T<T=ψ1α(0)A1,

    where T is the maximal existence time interval for ψ(t) and

    A2(α1)2ψ2α(0)[(ψ(0)γα1ψ(0))22β2α1ψ(0)],

    such that limtTψ(t)=+.

    Now, we state the assumptions on the function f:

    (A1) f:H20(Ω)L2(Ω) is locally Lipschitz with the Lipschitz constant Lf, that is, for every xH20(Ω), there exists a neighborhood V of x and a positive constant Lf depending on V such that

    f(y)f(z)2Lfyz2,

    for each y,zV.

    (A2) The function f with its primitive F(u)=u0f(s)ds has the property:

    f(0)=0,uf(u)2(2γ+1)F(u), (2.1)

    for all uR and for some positive real number γ.

    Example 2.3. Consider the function f(u)=u2. This function satisfies property (2.1) based on the conditions f(0)=0 and the behavior of its primitive, F(u)=u0f(s)ds=u0s2ds=u33. Specifically, we can establish the inequality uf(u)=u32(2γ+1)u33, which holds true for some γ14.

    In this section, we delve into the local existence of solutions for the wave Eqs (1.1)–(1.3) employing the contraction mapping principle. Initially, we examine the following linear initial boundary value problem:

    wtt+Δ2wΔw=h(x,t),inΩ×[0,T), (3.1)
    w=0,Δwη=aΔwt,inΓ×[0,T), (3.2)
    w(x,0)=w0(x),wt(x,0)=w1(x),xΩ. (3.3)

    Lemma 3.1. Suppose that w0U, w1H, and hW1,2(0,T;L2(Ω)). Then, the problems (3.1)–(3.3) admit a unique solution w such that

    wL(0,T;U),wtL(0,T;H),

    where U={wH20(Ω):Δwη|Γ=aΔwt}, and H=H10(Ω)H2(Ω).

    Proof. We initially employed the Galerkin approximation method to investigate the existence of solutions to this linear problem. Let (ϕn)nN be a basis in U, and Vn denote the subspace generated by ϕ1,...,ϕn (n=1,2,...). Consider wn(t)=ni=1rin(t)ϕi as the solution of the approximation problem corresponding to (3.1)–(3.3) for ϕVn. Then, we have:

    Ωwnϕdx+ΩΔϕΔwndx+Ωwnϕdx=Ωh(x,t)ϕdx, (3.4)

    with initial conditions satisfying

    wn(0)ni=1(Ωw0ϕidx)ϕiw0inU, (3.5)
    wn(0)ni=1(Ωw1ϕidx)ϕiw1inH. (3.6)

    First, we verify the existence of solutions to (3.4)–(3.6) on some interval [0,tn), 0<tn<T, and then use standard differential equations techniques [13] to extend the solution across the entire interval [0,T]. To achieve this, we need to establish the following a priori estimates.

    Setting ϕ=2wn(t) in (3.4), integrating over (0,t), and utilizing boundary conditions yield:

    wn(t)22+Δwn(t)22+wn(t)22wn(0)22+Δwn(0)22+wn(0)22+2t0Ωh(x,t)wn(t)dx.

    From this, we obtain:

    wn(t)22+Δwn(t)22+wn(t)22C0+t0(wn(s)22+Δwn(s)22)dt, (3.7)

    where C0=wn(0)22+Δwn(0)22+wn(0)22+T0h22dt, and utilizing the estimate:

    2|Ωh(x,t)wn(t)dx|h22+wn(t)22. (3.8)

    The conditions (3.5) and (3.6), and the property of h imply that C0 is bounded. Now, for all 0tT, applying Gronwall's inequality in (3.7), we obtain

    wn(t)22+Δwn(t)22+wn(t)22M1, (3.9)

    where M1 is a positive constant.

    To estimate wn(0) in L2-norm, we set t=0 in (3.4) and ϕ=2wn(0):

    wn(0)22wn(0)2[Δ2wn(0)2+Δwn(0)2+h2]. (3.10)

    By employing (3.5) and (3.6), we find a positive constant M2 such that:

    wn(0)2M2. (3.11)

    Next, we aim to establish an upper bound for wn(t)2. Replacing ϕ=2wn(t) in (3.4) after differentiating it with respect to t gives

    ddt[wn(t)22+Δwn(t)22+wn(t)22]2Ωh(x,t)wn(t)dx. (3.12)

    Hence, by integrating (3.12) over (0,t) and using the inequalities (3.8), (3.9) and (3.11), we obtain

    wn(t)22+Δwn(t)22+wn(t)22=:Y(t)Y(0)+T0h22=:C1+t0(wn(s)22+Δwn(s)22)dt. (3.13)

    Using Gronwall's inequality for the inequality

    Y(t)C1+t0(wn(s)22+Δwn(s)22)dt,

    and (3.5) and (3.6), we can derive

    wn(t)22+Δwn(t)22+wn(t)22M3, (3.14)

    for any t[0,T] with a positive M3, which is independent of nN. Using (3.9) and (3.14), we may conclude that

    wiwweakinL(0,T;H20(Ω)), (3.15)
    wiwweakinL(0,T;H), (3.16)
    wiwandwiwweakinL(0,T;L2(Ω)). (3.17)

    Thus, by taking the limit in (3.4) and utilizing the above convergences, we obtain:

    T0Ω(wtt+Δ2wΔw)uσdxdt=T0Ωh(x,t)uσdxdt,

    for all σD(0,T) and for all uU. From the above identity, we have

    wtt+Δ2wΔw=h(x,t)inL(0,T;L2(Ω)), (3.18)

    since w,Δw and hL(0,T;L2(Ω)) and we deduce Δ2wL(0,T;L2(Ω)), so wL(0,T;U).

    To prove the uniqueness of the solution, let w1 and w2 be two solutions of (3.1)–(3.3). Then v=w1w2 satisfies

    Ωv(t)ϕdx+ΩΔvΔϕdx+Ωvϕdx=0, (3.19)

    for ϕU. Also, we have

    v(x,0)=0,v(x,0)=0inΩ,andv(x,t)=0,Δvη=aΔvtonΓ.

    Now, if we set ϕ=2v(t) in (3.19), then we have

    v(t)22+v(t)22+Δv(t)22t0v(s)22+v(s)22.

    By Gronwall's inequality, we conclude that

    v(t)2=Δv(t)2=v(t)2=0,t[0,T].

    Therefore, we have uniqueness. Now, we establish the local existence of the problems (1.1)–(1.3).

    Theorem 3.2. Suppose that f:H20(Ω)L2(Ω), and that w0U, and w1H, then there exists a unique solution w with wL(0,T;U) and wtL(0,T;H).

    Proof. Define the following space for T>0 and R0>0:

    XT,R0={vL(0,T;U),vtL(0,T;H):e(v(t))vt(t)22+Δv(t)22R20,t[0,T]}.

    Then XT,R0 is a complete metric space with the distance

    d(x,y)=sup0tT[Δ(xy)2+(xy)t2]12, (3.20)

    where x,yXT,R0.

    By Lemma 3.1, for any uXT,R0, the problem

    wtt+Δ2wΔw=bf(Δu) (3.21)

    has a unique solution w of (3.21). We define the nonlinear mapping Bu=w, and then, we shall show that there exists T>0 and R0>0 such that

    (ⅰ) B:XT,R0XT,R0,

    (ⅱ) In the space XT,R0, the mapping B is a contraction according to the metric given in (3.20).

    After multiplication by 2wt in Eq (3.21), and integration over Ω, we find

    e1(w(t)):=t0[wt22+Δw22+w22]=2bt0Ωf(Δu)wtdxI1. (3.22)

    Taking into account the assumption (A1) on f, we obtain

    |I1|=2bt0Ωbf(Δu)wt(t)dΩdtbt0f(Δu)2.wt(t)2dt2bLfT0Δu(t)2.wt(t)2+2bt0f(0)2=0wt(t)2dt(4b2L2f+1)t0(Δu(t)22+wt(t)22)dte1(w(s)).

    Then, by integrating (3.22) over (0,t) and using the above inequality, we deduce

    e1(w(t))e1(w0)+(4b2L2f+1)t0e1(w(s))ds.

    Thus, by Gronwall's inequality, we have

    e1(w(t))e1(w0)et04b2L2f+1. (3.23)

    Therefore, if the parameters T and R0 satisfy e1(w0)et04b2L2f+1R20, we obtain

    e(w(t))(e1(w0))et04b2L2f+1R20. (3.24)

    Hence, it implies that B maps XT,R0 into itself.

    Let us now prove (ⅱ). To demonstrate that B is a contraction mapping with respect to the metric d(.,.) given above, we consider uiXT,R0 and wiXT,R0, where i=1,2 are the corresponding solutions to (3.21). Let v(t)=(w1w2)(t), then v satisfies the following system:

    vtt+Δ2vΔv=f(Δu1)f(Δu2), (3.25)

    with initial conditions

    v(0)=0,vt(0)=0,

    and boundary conditions

    v=0,Δvη=aΔvt.

    Multiplying (3.25) by 2vt, and integrating it over Ω, we find

    ddt[vt22+v22+Δv22]I2+I3, (3.26)

    where

    I2=2bΩ(f(Δu1)f(Δu2))vtdx,

    and

    I3=2ΩΔw2vtdx.

    To proceed the estimates of Ii, i=2,3, we observe that

    |I2|2bf(Δu1)f(Δu2)2.vt22bLfΔu1Δu22.vt22bLfe(u1u2)1/2e(v(t))1/2, (3.27)

    and

    |I3|Δw22.vt2R20e(v(t))1/2. (3.28)

    Thus, by using (3.27) and (3.28) in (3.26), we get

    e(v(t))t0[2bLfe(u1u2)1/2e(v(s))1/2+R20e(v(s))1/2]ds.

    So, from Gronwall's inequality, it follows that

    e(v(t))4b2L2fT2eR20Tsup0tTe(u1u2).

    By (3.20), we have

    d(w1,w2)C(T,R0)1/2d(u1,u2), (3.29)

    where C(T,R0)=4b2L2fT2eR20T. Hence, under inequality (3.24), B is a contraction mapping if C(T,R0)<1. Indeed, we choose R0 to be sufficiently large and T to be sufficiently small so that (3.24) and (3.29) are simultaneously satisfied. By applying the contraction mapping theorem, we obtain the local existence result.

    Remark 3.3. The application of the contraction mapping theorem in Theorem 3.2 guarantees the existence of a unique local solution w(t) defined in the ball B(0,R0)H20(Ω). Since U×(H10(Ω)H2(Ω)) is dense in H20(Ω)×L2(Ω), we can obtain the similar priori estimates in Theorem 3.2 for w(t)H20(Ω) and this norm remains bounded as tT. So, we can conclude that the solution can be extended to the whole space H20(Ω).

    Next, we define a weak solution for the initial and boundary value problem, as follows:

    Definition 3.4. A weak solution to the problems (1.1)–(1.3) on (0,T) is any function wC(0,T;H20(Ω))C(0,T;L2(Ω)), with w0H20(Ω) and w1L2(Ω) verifying

    T0Ω(wtϕt+ΔwΔϕ+wϕ)dΩdt+T0Γ(aΔwtϕ)dΓdt=Ω(wtϕ)|T0+bT0Ωf(Δw)ϕdΩdt,

    for all test functions ϕ in C(0,T;U)C(0,T;L2(Ω)).

    In this section, we study the existence of blow-up solutions for the initial and boundary value problems (1.1)–(1.3). We recall the definition for blow-up of the solutions to the problems (1.1)–(1.3).

    Definition 4.1. Suppose w is a solution to (1.1)–(1.3) in the maximal existence time interval [0,T), 0<T. Then w blows up at T if limsuptT,t<Tw2=+.

    We introduce the energy functional E(t) as:

    E(t):=wt22+Δw22+Δw222bF(Δw),1. (4.1)

    Furthermore, we define the function ψ(t) as follows:

    ψ(t)=w22+t0Γa(Δw)2dσds+Γa(Δw0)2dσ. (4.2)

    The subsequent lemma demonstrates that our energy functional E(t) defined in (4.1) is a non-increasing function.

    Lemma 4.2. Under the assumption (2.1) for the energy function E(t),t>0, the inequality E(t)E(0) holds.

    Proof. Multiplying Eq (1.1) by 2Δwt in L2(Ω) yields the equality:

    2ΩwttΔwtdx+2ΩΔwΔwtdx2ΩΔ2wΔwtdx=2bΩf(Δw)Δwtdx. (4.3)

    By using Green's Formula and the boundary conditions (1.2), we obtain

    ddt[wt22+Δw22+Δw222bF(Δw),1]=2Γa(Δwt)2dσ.

    Then, we have,

    ddtE(t)=2Γa(Δwt)2dσ. (4.4)

    It is obvious from (4.4) that E(t)E(0) for all t0.

    Theorem 4.3. Under the assumptions on the parameter of our problem, the functional ψ(t) given by (4.2) satisfies the following inequality:

    ψ(t)ψ(t)(γ+1)[ψ(t)]2+d0ψ(t)0,

    where

    d0:=2(2γ+1)E(0)+2(γ+1)Γa(Δw0)2dσ.

    Proof. Differentiating the function ψ defined in Eq (4.2) for t, we obtain

    ψ(t)=2w,wt+2t0ΓaΔwΔwtdσds+Γa(Δw0)2dσ. (4.5)

    Taking one more derivative with respect to t and utilizing Green's formula gives:

    ψ(t)=2wt22+2w,wtt+2aΓΔwΔwtdσ=2wt222ΩwttΔw+2Γwηwttdσ+2aΓΔwΔwtdσ=2wt222Ω(ΔwΔ2w+bf(Δw))Δwdx+2aΓΔwΔwtdσ.

    Since

    2ΩΔwΔ2wdx=2ΓΔwηΔwdσ2Ω(Δw)(Δw)dx,

    we obtain,

    ψ(t)=2wt222Δw222Δw22+2bf(Δw),Δw+2ΓΔwηΔwdσ+2aΔwΔwtdσ=0.

    By using the inequality (2.1) we have,

    ψ(t)2wt222Δw222Δw22+4b(2γ+1)F(Δw),1=2(2γ+1)E(t)+4(γ+1)wt22+4γΔw22+4γΔw22. (4.6)

    Thus, we obtain from the inequalities (4.6) and (4.4) that

    ψ(t)2(2γ+1)E(0)+4(2γ+1)t0Γa(Δwt)2dσds+4(γ+1)wt22+4γΔw22+4γΔw224(γ+1)[wt22+t0Γa(Δwt)2dσds+12Γa(Δw0)2dσ]d0.

    Multiplying both sides of the following inequality by ψ(t):

    ψ(t)4(γ+1)[wt22+t0Γa(Δwt)2dσds+12Γa(Δw0)2dσ]Ad0,

    we get

    ψ(t)ψ(t)4(γ+1)Aψ(t)d0ψ(t). (4.7)

    From (4.5), we obtain:

    (1+γ)[ψ(t)]2=4(1+γ)[w,wt+t0ΓaΔwΔwtdσds+12Γa(Δw0)2dσ]2. (4.8)

    Applying Schwartz's and Hölder's inequalities, we obtain:

    (1+γ)[ψ(t)]24(1+γ)[w2.wt2+{t0[Γa(Δw)2dσ]ds}12.{t0[Γa(Δwt)2dσ]ds}12+12Γa(Δw0)2dσ]2. (4.9)

    Now, we introduce the following notations:

    X:=w2,X:={t0[Γa(Δw)2dσ]ds}12,
    Y:=wt2,Y:={t0[Γa(Δwt)2dσ]ds}12,Z:=Γa(Δw0)2dσ.

    Hence, from (4.9), we have

    4(1+γ)[XY+XY+Z2]2=4(1+γ)[(X2Y2+(X)2(Y)2+Z24)+2(XYXY+XYZ2+XYZ2)].

    By Cauchy's inequality, we obtain

    XYZ(X22+Y22)ZandXYZ((X)22+(Y)22)Z.

    On the other hand,

    4(1+γ)Aψ(t)=4(1+γ)[Y2+(Y)2+Z2][X2+(X)2+Z2]=4(1+γ)[X2Y2+(X)2Y2+X2(Y)2+Y2C+(X)2Y2+(Y)2C+X2Z2+(X)2Z2+Z22],

    and we also have

    X2(Y)2+(X)2Y2=(XYXY)2+2XXYY,

    so, we get

    (γ+1)[ψ(t)]24(γ+1)Aψ(t). (4.10)

    Consequently, by subtracting (4.10) from (4.7), we obtain,

    ψ(t)ψ(t)(γ+1)[ψ(t)]2+d0ψ(t)0,

    as desired.

    Theorem 4.4. For each fixed w0W1,p0(Ω), there exists w1L2(Ω) satisfying the conditions

    (ψ(0))2>2β2α1ψ(0),E(0)>0. (4.11)

    Hence, by Lemma 2.2 we have the following upper bound for the existence time T0=T0(u0,u1)>0 of the solution:

    T0ψ1α(0)A1,limtTψ(t)=+forTT0,

    where

    α=1+γ,β=2(2γ+1)E(0)+2(γ+1)Γa(Δw0)2dσ,

    and

    E(0)=w122+Δw022+Δw0222bΓF(Δw0)dx, (4.12)

    with

    ψ(0)=w022+Γa(Δw0)2dσ,ψ(0)=2w0,w1+Γa(Δw0)2dσ.

    Proof. It is sufficient to prove the resulting conditions in (4.11) are compatible. Firstly, we choose a non-trivial initial function w0(x)W1,p0(Ω) in such a way that

    ΓF(Δw0)dx+4a1/2w022Γ(Δw0)2dσ+a2Γ(Δw0)48bw022+8baΓ(Δw0)2dσ>w022Γ(Δw0)2dσ2b(w022+Γa(Δw0)2+a(1+γ)2b(1+2γ)ΓΔw20dσ+Δw0222b+Δw0222b. (4.13)

    Fix w0(x) and put w1(x)=λw0(x) with λ>0 so large that the initial energy is guaranteed to be positive:

    E(0)=λ2w022+Δw022+Δw0222bΓF(Δw0)dx>0.

    Note that ψ(0)=2λw022+Γa(Δw0)2>0. Then the condition (4.11) takes the form,

    4λ2w042+4λw022ΓaΔw20dσ+(ΓaΔw20)2>11+2γ(4(1+2γ)E(0)+4(1+γ)ΓaΔw20dσ).(w022+ΓaΔw20dσ)=(4E(0)+4(1+γ1+2γ)ΓaΔw20dσ)).(w022+ΓaΔw20dσ)=(4λ2w022+4Δw022+4Δw0228bΓF(Δw0)dx+4(1+γ1+2γ)ΓaΔw20dσ).(w022+ΓaΔw20dσ)=4λ2w042+4λw022ΓaΔw20dσ+(4(1+γ1+2γ)ΓaΔw20dσ+4Δw022+4Δw0228bΓF(Δw0)dx).(w022+ΓaΔw20dσ). (4.14)

    Write λ=1/a1/2, where a>0. Then a series of the transformations in (4.14) yields the inequality that coincides with (4.13). This proves that the conditions (4.11) are compatible for sufficiently small a>0.

    Remark 4.5. Consider the function f from Assumption (A2) and the functions w0 and w1 that satisfy the following conditions:

    (i) By Theorem 4.4, the bounded function ψ defined in Eq (4.2) and its derivative ψ satisfy Lemma 2.2.

    (ii) Additionally, the initial energy functional E(0) defined in Eq (4.12) is positive.

    Therefore, a positive number exists T>0 such as T<T, where ψ(t)+ as tT.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors are grateful to the reviewers for their valuable comments and suggestions.

    The authors declare there are no conflicts of interest.



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