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Gravimetric inversion based on model exploration with growing source bodies (Growth) in diverse earth science disciplines

  • Gravimetry is a discipline of geophysics that deals with observation and interpretation of the earth gravity field. The acquired gravity data serve the study of the earth interior, be it the deep or the near surface one, by means of the inferred subsurface structural density distribution. The subsurface density structure is resolved by solving the gravimetric inverse problem. Diverse methods and approaches exist for solving this non-unique and ill-posed inverse problem. Here, we focused on those methods that do not pre-constrain the number or geometries of the density sources. We reviewed the historical development and the basic principles of the Growth inversion methodology, which belong to the methods based on the growth of the model density structure throughout an iterative exploration process. The process was based on testing and filling the cells of a subsurface domain partition with density contrasts through an iterative mixed weighted adjustment procedure. The procedure iteratively minimized the data misfit residuals jointly with minimizing the total anomalous mass of the model, which facilitated obtaining compact meaningful source bodies of the solution. The applicability of the Growth inversion approach in structural geophysical studies, in geodynamic studies, and in near surface gravimetric studies was reviewed and illustrated. This work also presented the first application of the Growth inversion tool to near surface microgravimetric data with the goal of seeking very shallow cavities in archeological prospection and environmental geophysics.

    Citation: Peter Vajda, Jozef Bódi, Antonio G. Camacho, José Fernández, Roman Pašteka, Pavol Zahorec, Juraj Papčo. Gravimetric inversion based on model exploration with growing source bodies (Growth) in diverse earth science disciplines[J]. AIMS Mathematics, 2024, 9(5): 11735-11761. doi: 10.3934/math.2024575

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  • Gravimetry is a discipline of geophysics that deals with observation and interpretation of the earth gravity field. The acquired gravity data serve the study of the earth interior, be it the deep or the near surface one, by means of the inferred subsurface structural density distribution. The subsurface density structure is resolved by solving the gravimetric inverse problem. Diverse methods and approaches exist for solving this non-unique and ill-posed inverse problem. Here, we focused on those methods that do not pre-constrain the number or geometries of the density sources. We reviewed the historical development and the basic principles of the Growth inversion methodology, which belong to the methods based on the growth of the model density structure throughout an iterative exploration process. The process was based on testing and filling the cells of a subsurface domain partition with density contrasts through an iterative mixed weighted adjustment procedure. The procedure iteratively minimized the data misfit residuals jointly with minimizing the total anomalous mass of the model, which facilitated obtaining compact meaningful source bodies of the solution. The applicability of the Growth inversion approach in structural geophysical studies, in geodynamic studies, and in near surface gravimetric studies was reviewed and illustrated. This work also presented the first application of the Growth inversion tool to near surface microgravimetric data with the goal of seeking very shallow cavities in archeological prospection and environmental geophysics.



    Our main goal of the present work is to investigate the following semilinear wave equations with damping term and mass term, namely

    {uttΔu+b1(t)utb2(t)u=f(u,ut),xΩc,t>0,u(x,0)=εf(x),ut(x,0)=εg(x),xΩc,un|B1(0)=0 (1.1)

    and

    {uttΔu+μ1+tut+ν2(1+t)2u=f(u,ut),xΩc,t>0,u(x,0)=εf(x),ut(x,0)=εg(x),xΩc,un|B1(0)=0, (1.2)

    where Δ=3i=12x2i. The coefficients b1(t)C([0,))L1([0,)), b2(t)=ν0(1+t)β+1(ν0>0,β>1) are non-negative functions. μ,ν0. We set f(u,ut)=|u|p, |ut|p, |ut|p+|u|q in problem (1.1) and f(u,ut)=|ut|p+|u|q in problem (1.2), respectively. The exponents of nonlinear terms satisfy 1<p,q<. Let Ω=B1(0)={xR3||x|1} and Ωc=R3B1(0). Ωc and Ωc are smooth and compact. Initial values satisfy f(x),g(x)C(Ωc) and supp(f(x),g(x))ΩcBR(0), where BR(0)={x||x|R}, R>2. The small parameter ε>0 describes the size of initial values. un stands for the derivative of external normal direction. It is well known that a solution u has compact support when the initial values have compact supports. As a consequence, we directly suppose that the solution has compact support set.

    We briefly review several previous results concerning problem (1.1) with b1(t)=b2(t)=0. It is worth pointing out that the Cauchy problem with f(u,ut)=|u|p asserts the Strauss exponent pc(n) (see [31,40,41,42]), which is the positive root of quadratic equation

    r(n,p)=(n1)p2+(n+1)p+2=0.

    The Cauchy problem with f(u,ut)=|ut|p admits the Glassey exponent pG(n)=n+1n1, which has been investigated in [14,19]. Ikeda et al. [15] establish blow-up dynamic and lifespan estimate of solution to the semilinear wave equation and related weakly coupled system by using a framework of test function approach. The Cauchy problem with f(u,ut)=|ut|p+|u|q is discussed in Han et al. [13]. Upper bound lifespan estimate of solution is illustrated by making use of test function method and the Kato lemma.

    Recently, many researchers have been devoted to the study of Cauchy problem for semilinear wave equation

    {uttΔu+g(ut)=f(u,ut),xRn,t>0,u(x,0)=εu0(x),ut(x,0)=εu1(x),xRn, (1.3)

    where f(u,ut)=|u|p,|ut|p,|ut|p+|u|q. Problem (1.3) with damping term g(ut)=ut,μ1+tut,μ(1+t)βut(β>1),(Δ)δut(δ(0,12]),a(x)ut(a(x)C(Rn)) and power nonlinear term f(u,ut)=|u|p is considered in [6,9,18,24,27,30,38]. Lai et al. [27] derive upper bound lifespan estimate of solution to problem (1.3) with damping term g(ut)=μ1+tut by exploiting the Kato lemma. Imai et al. [18] investigate problem (1.3) with scale invariant damping in two dimensions. Blow-up result and lifespan estimate of solution are discussed under certain restriction on the constant μ. Applying test function approach and imposing certain integral sign conditions on the initial values, Georgiev et al. [9] illustrate blow-up result of solution to problem (1.3) with g(ut)=ut on the Heisenberg group when 1<p<pF(n). Wakasa et al. [38] consider formation of singularity of solution to problem (1.3) with scattering damping μ(1+t)βut(β>1). Lifespan estimate of solution to the variable coefficient wave equation in the critical case is analyzed by employing rescaled test function method and iteration technique, which has been utilized in [39]. Problem (1.3) with damping term g(ut)=μ(1+t)βut(β>1),μ(1+|x|)βut(β>2),μ(Δ)σ2ut(μ>0,0<σ2) and derivative type nonlinear term f(u,ut)=|ut|p is considered in [7,25,28]. Lai et al. [25] derive upper bound lifespan estimate of solution to problem (1.3) with scattering damping term g(ut)=μ(1+t)βut(β>1) in the sub-critical and critical cases by introducing a bounded multiplier. Lai et al. [28] verify blow-up and lifespan estimate of solutions to problem (1.3) with space dependent damping term g(ut)=μ(1+|x|)βut(β>2) in the case 1<ppG(n)=n+1n1 by utilizing test function method (Ψ=tψ=t(η2pM(t)etϕ1(x))). Dao et al. [7] investigate formation of singularity of solution to problem (1.3) with structural damping term g(ut)=μ(Δ)σ2ut(μ>0,0<σ2) and derivative nonlinearity. Problem (1.3) with damping term g(ut)=μ1+tut,μ(1+t)βut(β>1) and combined nonlinearities f(u,ut)=|ut|p+|u|q is illustrated in [12,26,32,33]. Applying the rescaled test function approach and iterative method, Ming et al. [33] establish upper bound lifespan estimate of solution to problem (1.3) with scattering damping and divergence form nonlinearity in the sub-critical and critical cases. Hamouda et al. [12] illustrate influence of scale invariant damping on the formation of singularity of solution. Lifespan estimate of solution is derived by imposing certain assumptions on the parameter μ. Liu and Wang [32] consider blow-up of solution to the semilinear wave equation with combined nonlinearities on asymptotically Euclidean manifolds in the case n=2,μ=0.

    Scholars focus widespread attention on the Cauchy problem for semilinear wave equation with damping term and mass term (see detailed illustrations in [1,4,11,17,22,36,37]). Taking advantage of the iteration method, Lai et al. [22] establish blow-up result of solution to the semilinear wave equation with scattering damping term and negative mass term, where the nonlinearity is |u|p. Ikeda et al. [17] investigate lifespan estimate of solution to the semilinear wave equation with damping term, mass term as well as power nonlinearity in the sub-critical and critical cases by utilizing test function approach (ψ(x,t)=ρ(t)ϕ1(x)), which is inspired by [36]. Lai et al. [23] derive upper bound lifespan estimate of solution to the semilinear wave equation with damping term and mass term by employing the Kato lemma and iteration approach. Blow-up phenomenon and lifespan estimate of solution to the semilinear wave equation with scale invariant damping, non-negative mass term and power type of nonlinear term are documented in [36], where the iteration method is performed. Hamouda et al. [11] show blow-up dynamic of solution to the semilinear wave equation with scale invariant damping, mass term and combined nonlinearities. The proof is based on the multiplier technique and solving the ordinary differential inequality. We refer readers to the works in [2,3,5,8,10,16,20,21,29,34,35] for more details.

    Enlightened by the works in [11,17,22,24,25,26,36], our interest is to show blow-up results of solutions to problems (1.1) and (1.2) with Neumann boundary conditions on exterior domain in three dimensions. It is worth pointing out that upper bound lifespan estimates of solutions to the Cauchy problem of semilinear wave equation with scattering damping term μ(1+t)βut(μ>0,β>1) and nonlinear terms |u|p, |ut|p, |ut|p+|u|q are discussed in [24,25,26]. Lai et al. [22] derive blow-up and lifespan estimate of solution to the semilinear wave equation with scattering damping and negative mass term by exploiting the test function technique and iterative approach, where the nonlinear term is |u|p. However, there is no related result about blow-up dynamic of solution to problem (1.1). Thus, we extend the Cauchy problem studied in [24,25,26] to problem (1.1) with damping term, negative mass term and Neumann boundary condition on exterior domain in three dimensions. Upper bound lifespan estimate of solution to problem (1.1) is established by making use of a radial symmetry test function ψ(x,t)=et1rer with r=x21+x22+x23 (see Theorems 1.1, 1.3–1.5). The Cauchy problem investigated in [23] is extended to problem (1.1) by utilizing the test function method (ψ(x,t)=et1rer) and the Kato lemma (see Theorem 1.2). We derive lifespan estimate of solution to problem (1.1) with f(u,ut)=|u|p (see Theorem 1.6) by taking advantage of the test function approach (ψ1(x,t)=ρ(t)1rer), which is inspired by the work [17]. Making use of a multiplier, Hamouda et al. [11] verify blow-up phenomenon of solution to the semilinear wave equation with scale invariant damping and mass term as well as combined nonlinearities. We extend the problem discussed in [11] to problem (1.2). Upper bound lifespan estimate of solution to problem (1.2) with combined nonlinearities f(u,ut)=|ut|p+|u|q is acquired by applying the test function technique (ψ2(x,t)=ρ1(t)1rer) and iterative method (see Theorem 1.7). To the best of our knowledge, the results in Theorems 1.1–1.7 are new. Moreover, we characterize the variation of wave by utilizing numerical simulation.

    Definitions of weak solutions and the main results in this paper are illustrated as follows.

    Definition 1.1. A function u is called a weak solution of problem (1.1) on [0,T) if uC([0,T),H1(Ωc))C1([0,T),L2(Ωc))Lploc((0,T)×Ωc) when f(u,ut)=|u|p, uC([0,T),H1(Ωc))C1([0,T),L2(Ωc))C1((0,T),Lp(Ωc)) when f(u,ut)=|ut|p, u1i=0Ci([0,T),H1i(Ωc))C1((0,T),Lp(Ωc))Lqloc((0,T)×Ωc) when f(u,ut)=|ut|p+|u|q and

    Ωcut(x,t)ϕ(x,t)dxΩcεg(x)ϕ(x,0)dx+t0dsΩc{ut(x,s)ϕt(x,s)Δu(x,s)ϕ(x,s)}dx+t0dsΩcb1(s)ut(x,s)ϕ(x,s)dxt0dsΩcb2(s)u(x,s)ϕ(x,s)dx=t0dsΩcf(u,ut)(x,s)ϕ(x,s)dx, (1.4)

    where ϕC0([0,T)×Ωc) and t[0,T).

    Definition 1.2. A function u is called a weak solution of problem (1.2) on [0,T) if uC([0,T),H1(Ωc))C1([0,T),L2(Ωc)), uLqloc((0,T)×Ωc), utLploc((0,T)×Ωc) when f(u,ut)=|ut|p+|u|q and

    Ωcut(x,t)ϕ(x,t)dxΩcut(x,0)ϕ(x,0)dxt0Ωcut(x,s)ϕt(x,s)dxds+t0Ωcu(x,s)ϕ(x,s)dxds+t0Ωcμ1+sut(x,s)ϕ(x,s)dxds+t0Ωcν2(1+s)2u(x,s)ϕ(x,s)dxds=t0Ωc(|ut(x,s)|p+|u(x,s)|q)ϕ(x,s)dxds, (1.5)

    where ϕC0([0,T)×Ωc) and t[0,T).

    Setting

    m(t)=(1+t)μ,

    we rewrite Definition 1.2 by choosing m(t)ϕ(x,t) as a test function.

    Definition 1.3. A function u is called a weak solution of problem (1.2) on [0,T) if uC([0,T),H1(Ωc))C1([0,T),L2(Ωc)), uLqloc((0,T)×Ωc), utLploc((0,T)×Ωc) when f(u,ut)=|ut|p+|u|q and

    m(t)Ωcut(x,t)ϕ(x,t)dxΩcut(x,0)ϕ(x,0)dxt0m(s)Ωcut(x,s)ϕt(x,s)dxds+t0m(s)Ωcu(x,s)ϕ(x,s)dxds+t0Ωcν2m(s)(1+s)2u(x,s)ϕ(x,s)dxds=t0m(s)Ωc(|ut(x,s)|p+|u(x,s)|q)ϕ(x,s)dxds, (1.6)

    where ϕC0([0,T)×Ωc) and t[0,T).

    Theorem 1.1. Let 1<p<pc(3). Assume that (f,g)H1(Ωc)×L2(Ωc) are non-negative functions and f does not vanish identically. If a solution u to problem (1.1) with f(u,ut)=|u|p satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, there exists a constant ε0=ε0(f,g,R,p,b1(t),b2(t))>0 such that the lifespan estimate T(ε) satisfies

    T(ε)Cε2p(p1)r(p,3), (1.7)

    where 0<εε0, C>0 is independent of ε.

    Theorem 1.2. Assume b1(t)=ν1(1+t)β, b2(t)=ν2(1+t)2, ν10, β>1, ν2>0. Let δ=1+4ν2eν11β>1, d(3)=222[0,2), 1<p<pδ(3) and

    pδ(3)=max{pF(5δ2),pc(3)}={pc(3),δ3d(3),pF(5δ2),3d(3)<δ<5,+,δ5.

    Here, pF(n)=1+2n is the solution of equation rF(p,n)=2n(p1)=0. Suppose that (f,g)H1(Ωc)×L2(Ωc) are non-negative functions and do not vanish identically. If a solution u to problem (1.1) with f(u,ut)=|u|p satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, the lifespan estimate T(ε) satisfies

    T(ε){Cε2p(p1)r(p,3),δ1,Cε(p1)rF(p,31+δ2),1<δ<3d(3),1<p23δ,Cε2p(p1)r(p,3),1<δ<3d(3),23δ<p<pδ(3),Cε(2p13+1+δ2)1,δ3d(3),

    where C>0 is independent of ε.

    Theorem 1.3. Let 1<ppG(3)=2. Assume that (f,g)H1(Ωc)×L2(Ωc) are non-negative functions and g does not vanish identically. If the solution u to problem (1.1) with f(u,ut)=|ut|p satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, the lifespan estimate T(ε) satisfies

    T(ε){Cεp12p,1<p<pG(3),exp(Cε1),p=pG(3),

    where C>0 is independent of ε.

    Theorem 1.4. Let p>1 and 1<q<min{1+2p1,6}. Assume that f and g satisfy the conditions in Theorem 1.3. If a solution u to problem (1.1) with f(u,ut)=|ut|p+|u|q satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, the lifespan estimate T(ε) satisfies

    T(ε)Cεp(q1)q+1p(q1),

    where C>0 is independent of ε.

    Theorem 1.5. Let p>3 and 1<q<2. Assume that f and g satisfy the conditions in Theorem 1.3. If the solution u to problem (1.1) with f(u,ut)=|ut|p+|u|q satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, the lifespan estimate T(ε) satisfies

    T(ε)Cεq12(2q),

    where C>0 is independent of ε.

    Theorem 1.6. Let 1<p<pc(3). Let f and g satisfy the conditions in Theorem 1.1. Suppose that b1(t)C1([0,)) and r2(t)L1([0,)) satisfy

    {r2(t)+b1(t)r2(t)r22(t)=b2(t),r2(t)|t=0=r2(0).

    ρ(0) is the initial value of ρ(t), where ρ(t) is the solution to problem (5.1). It holds that

    {g(x)+r2(0)f(x)0,g(x)+(b1(0)ρ(0))f(x)0.

    There is no sign requirement for b1(t) and b2(t). If a solution u to problem (1.1) with f(u,ut)=|u|p satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, the lifespan estimate T(ε) satisfies

    T(ε)Cε2p(p1)r(p,3),

    where C>0 is independent of ε.

    Theorem 1.7. Let p>pG(3+μ), q>qS(3+μ), μ,ν20 and δ=(μ1)24ν20. Assume that λ(p,q,3+μ)<4, where λ(p,q,n)=(q1)((n1)p2)<4. The initial values (f,g)H1(Ωc)×L2(Ωc) are non-negative functions which do not vanish identically and satisfy

    μ1δ2f(x)+g(x)>0. (1.8)

    If a solution u to problem (1.2) with f(u,ut)=|ut|p+|u|q satisfies supp(u,ut){(x,t)Ωc×[0,T)||x|t+R}, then u blows up in finite time. Moreover, there exists a constant ε0=ε0(f,g,R,p,q,μ,ν)>0 such that the lifespan estimate T(ε) satisfies

    T(ε)Cε2p(q1)4λ(p,q,3+μ), (1.9)

    where C>0 is independent of ε.

    Remark 1.1. Utilizing the Sobolev embedding theorem yields H1(Ωc)Lq(Ωc) when n=3,q<6 in Theorems 1.4 and 1.5. Consequently, the nonlinear term |u|q in problem (1.1) is integrable in the domain ΩcR3.

    Remark 1.2. Taking advantage of the Poincare's inequality, we conclude

    Ωc|u|pψdx1(t+R)pΩc|u|pψdxCΩc|u|pψdx.

    Similar to the proof of Theorem 1.1, we obtain the same result in (1.7) when nonlinear term is f(u,ut)=|u|p.

    Remark 1.3 We call that u is a global solution of problems (1.1) and (1.2) if the maximal existence time of solution Tmax=. While in the case Tmax<, we call that u blows up in finite time.

    Lemma 2.1. [35] Let b1(t)C([0,))L1([0,)) be a non-negative function, which satisfies

    m1(t)=exp(tb1(τ)dτ),

    m1(0)m1(t)1, m1(t)m1(t)=b1(t) for t0.

    Lemma 2.2. Let ϕ1(x)=ϕ1(r)=1rer, where x=(x1,x2,x3) and r=x21+x22+x23. It holds that

    Δϕ1=(rr+2rr)ϕ1=ϕ1

    and ϕ1r|r=1=0. Setting ψ=etϕ1(x), it satisfies

    Ωc{|x|t+R}ψpp1dxC(R+t)2pp1,Δψ=ψ,

    where C is a positive constant.

    Proof of Lemma 2.2. Direct calculation shows

    ϕ1xi=ϕ1rxir,2ϕ1x2i=2ϕ1r2x2ir2+r2x2ir3ϕ1r,

    where i=1,2,3. Thus, we obtain

    Δϕ1=2ϕ1x21+2ϕ1x22+2ϕ1x23=2ϕ1r2(x21r2+x22r2+x23r2)+ϕ1r(r2x21r3+r2x22r3+r2x23r3)=(rr+2rr)ϕ1=ϕ1.

    Employing ψ=et1rer gives rise to

    Ωc{|x|t+R}ψpp1dx=S2dwt+R1[et1rer]pp1r2drCt+R0[e(tr)]pp1(R+r)2pp1drC(R+t)2pp1.

    We complete the proof of Lemma 2.2.

    Let us set three functions

    {F0(t)=Ωcu(x,t)dx,F1(t)=Ωcu(x,t)ψ(x,t)dx,F2(t)=Ωcut(x,t)ψ(x,t)dx,

    where ψ(x,t)=etϕ1(x)=et1rer. It holds that

    ψ=0,Δψ=ψ,(ψ)t=ψ,(ψ)tt=ψ. (2.1)

    By straightforward computation, we achieve

    ΩcΔudx=Ωc1undSΩc1udx=0. (2.2)

    Choosing the test function ϕ(x,s)1 on (x,s){Ωc×[0,t]||x|s+R} in (1.4) with f(u,ut)=|u|p and utilizing (2.2) yield

    F0(t)+b1(t)F0(t)=b2(t)F0(t)+Ωc|u(x,t)|pdx. (2.3)

    Multiplying (2.3) with m1(t) and integrating on [0,t], we deduce

    F0(t)m1(0)t0Ωc|u(x,s)|pdxds, (2.4)

    where we have used the fact F0(0)0 and F0(t)>0.

    We are in the position to establish the lower bound of F1(t). Elementary computation leads to

    un|Ωc=un|r=1=0,ψn|Ωc=ψn|r=1=0. (2.5)

    Applying (2.5) and the Green formula yields

    Ωc(ΔuψuΔψ)dx=Ωc(unψuψn)dS=0.

    Thus, we have

    ΩcΔuψdx=ΩcuΔψdx=Ωcuψdx. (2.6)

    Utilizing (2.1), (2.6) and replacing ϕ(x,s) in (1.4) with f(u,ut)=|u|p by ψ(x,s), we obtain

    m1(t)Ωcut(x,t)ψ(x,t)dxm1(0)εΩcg(x)ψ(x,0)dxm1(t)Ωcu(x,t)ψt(x,t)dx+m1(0)εΩcf(x)ψt(x,0)dx+t0Ωcm1(s)b1(s)u(x,s)ψt(x,s)dxds=t0Ωcm1(s)b2(s)u(x,s)ψ(x,s)dxds+t0Ωcm1(s)|u(x,s)|pψ(x,s)dxds.

    That is

    m1(t){F1(t)+2F1(t)}=m1(0)εΩc{f(x)+g(x)}ϕ1(x)dx+t0m1(s){b1(s)+b2(s)}F1(s)ds+t0Ωcm1(s)|u(x,s)|pψ(x,s)dxds,

    which leads to

    F1(t)+2F1(t)m1(0)Cf,gε+t0m1(s){b1(s)+b2(s)}F1(s)ds,

    where Cf,g=Ωc{f(x)+g(x)}ϕ1(x)dx>0.

    Thanks to the positivity of F1(t) and F1(0), we deduce

    F1(t)>1e2t2m1(0)Cf,gε, (2.7)

    where t>2. Employing (2.4) and the Holder inequality yields

    F0(t)>C1m1(0)t0dss0(r+R)3(p1)Fp0(r)dr. (2.8)

    Making use of the Holder inequality and Lemma 2.2 gives rise to

    Ωc|u(x,t)|pdx(Ωc{|x|t+R}(ψ(x,t))pp1dx)(p1)|F1(t)|pC(t+R)2p|F1(t)|p. (2.9)

    Taking advantage of (2.4), (2.7) and (2.9), we acquire

    F0(t)>C2εp12(R+t)pt4.

    We denote

    F0(t)>Dj(R+t)ajtbj, (2.10)

    where

    D1=C2εp12,a1=p,b1=4. (2.11)

    Combining (2.8) with (2.10), we derive

    F0(t)>C1m1(0)Dpj(pbj+2)2(R+t)3(p1)pajtpbj+2.

    Thus, we define the sequences {Dj}jN,{aj}jN,{bj}jN by

    Dj+1C1m1(0)Dpj(pbj+2)2,aj+1=paj+3(p1),bj+1=pbj+2. (2.12)

    Exploiting (2.11), (2.12) and iterative argument gives rise to

    aj=pj1(p+3)3,bj=pj1(4+2p1)2p1,DjC3Dpj1p2(j1)exp{pj1(logD1Sp())},

    where Sp() is obtained by using the d'Alembert's criterion. Moreover, Sp(j)=j1k=12klogplogC3pk converges to Sp() as j. As a consequence, making use of (2.10) yields

    F0(t)(t+R)3t2p1exp(pj1J(t)) (2.13)

    and

    J(t)=(p+3)log(t+R)+(4+2p1)logt+logD1Sp()log(D1tr(p,3)2(p1))C4,

    where C4=(p+3)log2+Sp()>0 and tR>2. Utilizing the condition p<pc(3), we arrive at J(t)>1 when tC5ε2p(p1)r(p,3). Sending j in (2.13) yields F0(t). Therefore, we derive the lifespan estimate

    T(ε)C5ε2p(p1)r(p,3).

    The proof of Theorem 1.1 is finished.

    Integrating (2.3) on [0,t], we acquire

    F0(t)=F0(0)+m1(0)F0(0)t01m1(s)ds+t01m1(s)dss0m1(r)b2(r)F0(r)dr+t01m1(s)dss0m1(r)drΩc|u(x,s)|pdx. (2.14)

    Let us define two functions

    ˜F0(t)=12F0(0)+m1(0)2F0(0)t+m1(0)t0dss0b2(r)˜F0(r)dr+m1(0)t0dss0drΩc|u(x,r)|pdx (2.15)

    and

    G(t)=(1+t)k+λF0(t).

    Thanks to m1(0)<m1(t)<1 and ν2>0, we achieve

    F0(t)˜F0(t)12F0(0)+m1(0)2F0(0)t+m1(0)t0dss0b2(r)[F0(r)˜F0(r)]dr.

    Applying comparison argument, we conclude F0(t)~F0(t). Employing (2.15) and the formula (4.2) with μ1=0,μ2=m1(0)ν2 in [23] gives rise to

    ˜F0(t)b2(t)m1(0)˜F0(t)=m1(0)Ωc|u(x,t)|pdx. (2.16)

    Similar to the derivation in the proof of Theorem 5 in [23], we derive

    ˜F0(t)=˜F0(0)(1+t)k+[k˜F0(0)+˜F0(0)](1+t)kt0(1+s)λds+(1+t)kt0(1+s)λdss0(1+r)k+λdr×Ωc|u(x,r)|pdx, (2.17)
    G(t)tT0dssT0r(3+k+λ)(p1)G(r)pdr (2.18)

    and

    G(t)εtλ. (2.19)

    Here, AB means that there exists a positive constant C such that ACB. Taking into account (2.7) and the Holder inequality, we obtain

    Ωc|u(x,t)|pεp(t+R)2p,

    which together with (2.17) results in

    ˜F0(t)εp(1+t)ktT1(1+s)λdssT1(1+r)q+δ1dr,

    where tT1>0, q=1+δ2p+4. Therefore, we arrive at

    G(t)εp{tλ+q,q>0,tλln(1+t),q=0,tλ,q<0. (2.20)

    Utilizing (2.18)–(2.20) and the Kato lemma in Sub-section 4.3 in [23], we finishes the proof of Theorem 1.2.

    Direct computation gives rise to

    ddt[m1(t)Ωc{ut(x,t)+u(x,t)}ψ(x,t)dx]=b1(t)m1(t)Ωc{ut(x,t)+u(x,t)}ψ(x,t)dx+m1(t)ddtΩc{ut(x,t)+u(x,t)}ψ(x,t)dx. (3.1)

    Making use of (1.4) and (2.6), we acquire

    ddtΩc{ut(x,t)+u(x,t)}ψ(x,t)dx=Ωc|ut(x,t)|pψ(x,t)dxb1(t)Ωcut(x,t)ψ(x,t)dx+b2(t)Ωcu(x,t)ψ(x,t)dx. (3.2)

    Plugging (3.2) into (3.1) yields

    ddt[m1(t)Ωc{ut(x,t)+u(x,t)}ψ(x,t)dx]=b1(t)m1(t)Ωcu(x,t)ψ(x,t)dx+b2(t)m1(t)Ωcu(x,t)ψ(x,t)dx+m1(t)Ωc|ut(x,t)|pψ(x,t)dx, (3.3)

    which together with (2.7) results in

    m1(t)Ωc{ut(x,t)+u(x,t)}ψ(x,t)dxm1(0)εΩc{f(x)+g(x)}ϕ1(x)dx+t0dsΩcm1(s)|ut(x,s)|pψ(x,s)dx. (3.4)

    Combining (1.4), (2.1) and (2.6), we have

    ddt[m1(t)Ωcut(x,t)ψ(x,t)dx]+m1(t)Ωc{ut(x,t)u(x,t)}ψ(x,t)dx=m1(t)Ωc|ut(x,t)|pψ(x,t)dx+m1(t)b2(t)Ωcu(x,t)ψ(x,t)dx. (3.5)

    An application of (3.4) and (3.5) gives rise to

    ddt[m1(t)Ωcut(x,t)ψ(x,t)dx]+2m1(t)Ωcut(x,t)ψ(x,t)dxm1(0)εΩc{f(x)+g(x)}ϕ1(x)dx+m1(t)Ωc|ut(x,t)|pψ(x,t)dx+t0dsΩcm1(s)|ut(x,s)|pψ(x,s)dx. (3.6)

    We set

    G(t)=m1(t)Ωcut(x,t)ψ(x,t)dxm1(0)2εΩcg(x)ϕ1(x)dx12t0m1(s)dsΩc|ut(x,s)|pψ(x,s)dx, (3.7)

    where G(0)=m1(0)ε2Ωcg(x)ϕ1(x)dx>0. Taking into account (3.6), we acquire

    G(t)+2G(t)m1(t)2Ωc|ut(x,t)|pψ(x,t)dx+m1(0)εΩcf(x)ϕ1(x)dx0.

    It follows that G(t)e2tG(0)>0 for t0. Thus, we conclude

    Ωcut(x,t)ψ(x,t)dxm1(0)ε2Ωcg(x)ϕ1(x)dx. (3.8)

    We define

    H(t)=12t0m1(s)dsΩc|ut(x,s)|pψ(x,s)dx+m1(0)2εΩcg(x)ϕ1(x)dx.

    Applying the Holder inequality and (3.8) yields

    H(t)C1p2(R+t)p1Hp(t).

    As a direct consequence, we have

    ddt[Hp+1(t)]C1p2(R+t)p1.

    It is worth noticing that H(0)=m1(0)2εΩcg(x)ϕ1(x)dx. Therefore, employing the assumption 1<p2, we derive the lifespan estimate in Theorem 1.3. The proof of Theorem 1.3 is finished.

    We are in the position to establish the estimate of F0(t). Choosing the test function ϕ(x,t)=1 in (1.4) yields

    F0(t)+b1(t)F0(t)=Ωc{|ut(x,t)|p+|u(x,t)|q}dx+b2(t)F0(t). (4.1)

    Multiplying (4.1) with m1(t) and integrating on [0,t] yield

    F0(t)m1(0)t0Ωc{|ut(x,s)|p+|u(x,s)|q}dxds, (4.2)

    where we have applied the fact F0(0)0 and F0(t)>0.

    Similar to the estimates in (2.7) and (3.8), we obtain the estimates

    F1(t)m1(0)ε2Ωcf(x)ϕ1(x)dx0,F2(t)m1(0)ε2Ωcg(x)ϕ1(x)dx0

    when nonlinear term is f(u,ut)=|ut|p+|u|q. Taking advantage of Lemma 2.2 and (3.8), we derive

    Ωc|ut(x,t)|pdx|F2(t)|p(Ωc{|x|t+R}(ψ(x,t))pp1dx)p1¯C1εp(t+R)2p, (4.3)

    where ¯C1=C1p(m1(0)2Ωcg(x)ϕ1(x)dx)p. Plugging (4.3) into (4.2) leads to

    F0(t)m1(0)¯C1εpt0s0(r+R)2pdrds¯C2εp(t+R)pt4. (4.4)

    Recalling (4.2), we acquire

    F0(t)¯C3m1(0)t0s0(r+R)3(q1)Fq0(r)drds. (4.5)

    We set

    F0(t)Dj(t+R)ajtbj, (4.6)

    where

    D1=¯C2εp,a1=p,b1=4. (4.7)

    Inserting (4.6) into (4.5), we come to the estimate

    F0(t)¯C3m1(0)Dqj(qbj+2)2(t+R)3(q1)qajtqbj+2.

    Therefore, we denote the sequences {Dj}jN,{aj}jN,{bj}jN by

    Dj+1¯C3m1(0)Dqj(qbj+2)2,aj+1=3(q1)+qaj,bj+1=qbj+2. (4.8)

    Taking advantage of (4.7), (4.8) and iterative argument gives rise to

    aj=qj1(p+3)3,bj=qj1(4+2q1)2q1,Dj¯C4Dqj1q2(j1)exp{qj1(logD1S())},

    where S(j)=j1k=12klogqlog¯C4qk converges to S() as j.

    From (4.6), we have

    F0(t)(t+R)3t2q1exp{qj1J(t)} (4.9)

    and

    J(t)(p+3)log(2t)+(4+2q1)logt+logD1S()=log(t1+2q1pD1)¯C5,

    where ¯C5=(p+3)log2+S()>0,tR>2. Recalling the assumption q<1+2p1, we deduce that J(t)>1 when t>¯C6εp(q1)q+1p(q1). Sending j in (4.9) yields F0(t). Therefore, we achieve the lifespan estimate

    T¯C7εp(q1)q+1p(q1).

    The proof of Theorem 1.4 is finished.

    We set I[f]=Ωcf(x)dx. Utilizing (4.4) gives rise to

    F0(t)Cεpt4p

    for sufficiently large t, where C>0 is independent of ε. Thus, we deduce that (4.4) is weaker than the linear growth when p>3. An application of (4.2) leads to

    F0(t)m1(0)m1(t)F0(0)m1(0)εΩcg(x)dx. (4.10)

    That is

    F0(t)¯C8εt. (4.11)

    It is deduced from (4.5) and (4.11) that

    F0(t)¯C9εqt0s0(R+r)3(q1)rqdrds¯C10εq(R+t)3(q1)tq+2.

    We assume

    F0(t)¯Dj(R+t)¯ajt¯bj, (4.12)

    where

    ¯D1=¯C10εq,¯a1=3(q1),¯b1=q+2. (4.13)

    Plugging (4.12) into (4.5), we derive

    F0(t)¯Dj+1(R+t)q¯aj3(q1)tq¯bj+2 (4.14)

    with

    ¯Dj+1¯C11m1(0)¯Dqj(q¯bj+2)2,¯aj+1=3(q1)+q¯aj,¯bj+1=q¯bj+2. (4.15)

    Making use of (4.13) and (4.15), we conclude

    ¯aj=3qj3,¯bj=qj1(q+2+2q1)2q1,¯Dj¯C12¯Dqj1q2(j1)exp{qj1(log¯D1¯Sq())}.

    Applying (4.12) gives rise to

    F0(t)(R+t)3t2q1exp(qj1¯J(t))

    and

    ¯J(t)=3qlog(R+t)+(q+2+2q1)logt+log¯D1¯Sq().

    Bearing in mind 1<q<2, we arrive at the lifespan estimate in Theorem 1.5. This completes the proof of Theorem 1.5.

    To outline the proof of Theorem 1.6, we recall the following Lemmas.

    Lemma 5.1. [17] Let ρ(t) be a solution of the second order ODE

    {ρ(t)b1(t)ρ(t)+(b2(t)1b1(t))ρ(t)=0,ρ(0)=1,ρ()=0, (5.1)

    where ρ(t) decays as et for large t.

    Lemma 5.2. Let ϕ1(x)=ϕ1(r)=1rer, where x=(x1,x2,x3) and r=x21+x22+x23. Setting ψ1(x,t)=ρ(t)ϕ1(x), it holds that

    Ωc{|x|t+R}(ψ1(x,t))pp1dxC(R+t)2pp1,Δψ1=ψ1,

    where ρ(t)et, C is a positive constant.

    Proof of Lemma 5.2. Taking into account ψ1=ρ(t)1rer, we obtain

    Ωc{|x|t+R}(ψ1)pp1dx=S2dwt+R1[ρ(t)1rer]pp1r2drCt+R0[ρ(tr)]pp1(R+r)2pp1drC(R+t)2pp1.

    We finish the proof of Lemma 5.2.

    Proof of Theorem 1.6. Let us define the functions

    {F0(t)=Ωcu(x,t)dx,F1(t)=Ωcu(x,t)ψ1(x,t)dx,

    where ψ1(x,t)=ρ(t)ϕ1(x).

    Choosing the test function ϕ(x,s)1 on {(x,s)Ωc×[0,t]||x|s+R} in (1.4) with f(u,ut)=|u|p, we have

    F0(t)+b1(t)F0(t)b2(t)F0(t)=Ωc|u(x,t)|pdx. (5.2)

    We rewrite (5.2) into the form

    F0(t)+b1(t)F0(t)b2(t)F0(t)=[F0(t)+r2(t)F0(t)]+r1(t)[F0(t)+r2(t)F0(t)], (5.3)

    where r1(t) and r2(t) satisfy

    {r1(t)+r2(t)=b1(t),r2(t)+r1(t)r2(t)=b2(t).

    Multiplying both sides of (5.3) by exps1s2r1(τ)dτ, integrating over [0,s2] and applying g(x)+r2(0)f(x)0 yield

    F0(s2)+r2(s2)F0(s2)s20es1s2r1(τ)dτΩc|u(x,s1)|pdxds1. (5.4)

    Multiplying (5.4) by exps2tr2(τ)dτ leads to

    F0(t)t0es2tr2(τ)dτs20es1s2r1(τ)dτΩc|u(x,s1)|pdxds1ds2. (5.5)

    Replacing ϕ(x,s) with ψ1(x,s) in (1.4) in the case f(u,ut)=|u|p and employing (2.6), we derive

    t0Ωcutt(x,s)ψ1(x,s)dxdst0Ωcu(x,s)ψ1(x,s)dxds+t0Ωcs(b1(s)ψ1(x,s)u(x,s))s(b1(s)ψ1(x,s))u(x,s)dxdst0Ωcb2(s)ψ1(x,s)u(x,s)dxds=t0Ωc|u(x,s)|pψ1(x,s)dxds. (5.6)

    Employing Lemma 5.1 and (5.6), we deduce

    F1(t)+(b1(t)2ρ(t)ρ(t))F1(t)εCf,g, (5.7)

    where Cf,g=Ωc(g(x)+(b1(0)ρ(0))f(x))ϕ1(x)dx>0.

    Multiplying (5.7) with 1ρ2(t)et0b1(τ)dτ yields

    F1(t)εCf,g,b1(t)t0ρ2(t)ρ2(s)ds. (5.8)

    Utilizing Lemma 5.2 gives rise to

    Ωc|u(x,t)|pdx|F1(t)|p(Ωc{|x|t+R}(ψ1(x,t))pp1dx)p1Cεpt2p, (5.9)

    where t=3+|t|. Taking advantage of (5.5) and Lemma 2.1 in [17] leads to

    F0(t)Cr1,r2t0s20Fp0(s1)(s1+R)3(1p)ds1ds2. (5.10)

    Similar to the iteration argument in Theorem 1.1, we derive the lifespan estimate in Theorem 1.6. The proof of Theorem 1.6 is finished.

    Lemma 6.1. [11] Assume that ρ1(t) is solution of

    d2ρ1(t)dt2ρ1(t)ddt(μ1+tρ1(t))+ν2(1+t)2ρ1(t)=0. (6.1)

    The expression of ρ1(t) is

    ρ1(t)=(1+t)μ+12Kδ2(1+t),

    where Kξ(t)=π2tet(1+O(t1)) as t and Kξ(t)=Kξ+1(t)+ξtKξ(t). It holds that

    ρ1(t)ρ1(t)=1+O(t1),t. (6.2)

    Let ϕ1(x)=ϕ1(r)=1rer, where x=(x1,x2,x3) and r=x21+x22+x23. Setting ψ2(x,t)=ρ1(t)ϕ1(x), it holds that

    2tψ2(x,t)Δψ2(x,t)t(μ1+tψ2(x,t))+ν2(1+t)2ψ2(x,t)=0 (6.3)

    and

    Ωc{|x|t+R}(ψ2(x,t))pp1dxCρpp11eptp1(t+R)2pp1 (6.4)

    for some positive constant C.

    Proof of Lemma 6.1. Applying ψ2=ρ1(t)1rer gives rise to

    Ωc{|x|t+R}(ψ2)pp1dx=S2dwt+R1[ρ1(t)1rer]pp1r2drCt+R0[ρ1(t)er]pp1r2pp1drCρpp11eptp1(t+R)2pp1.

    We complete the proof of Lemma 6.1.

    We denote two functions

    {G1(t)=Ωcu(x,t)ψ2(x,t)dx,G2(t)=Ωcut(x,t)ψ2(x,t)dx.

    Lemma 6.2. Let u be a weak solution of problem (1.2). If (p,q) and (f(x),g(x)) satisfy the conditions in Theorem 1.7, then there exists T0=T0(μ,ν)>1 such that

    G1(t)CG1ε, (6.5)

    where tT0, CG1 is a positive constant which depends on f,g,μ,ν.

    Proof of Lemma 6.2. Replacing ϕ(x,t) in (1.5) by ψ2(x,t)=ρ1(t)ϕ1(x) and employing (6.3), we derive

    Ωc(ut(x,t)ψ2(x,t)u(x,t)tψ2(x,t)+μ1+tu(x,t)ψ2(x,t))dx=t0Ωc(|ut(x,s)|p+|u(x,s)|q)ψ2(x,s)dxds+εC(f,g), (6.6)

    where

    C(f,g)=Kδ2(1)Ωc((μ1δ2f(x)+g(x))ϕ1(x)dx+Kδ2+1(1)Ωcg(x)ϕ1(x)dx>0.

    Thus, we obtain

    G1(t)+(μ1+t2ρ1(t)ρ1(t))G1(t)=t0Ωc(|ut(x,s)|p+|u(x,s)|q)ψ2(x,s)dxds+εC(f,g). (6.7)

    Multiplying (6.7) by 1ρ21(t)(1+t)μ, integrating over (0,t) and exploiting Lemma 6.1 yield

    G1(t)G1(0)ρ21(t)(1+t)μ+εC(f,g)ρ21(t)(1+t)μt0(1+s)μρ21(s)dsεC(f,g)(1+t)K2δ2(1+t)tt21K2δ2(1+s)dsε4C(f,g)e2ttt2e2sdsε16C(f,g) (6.8)

    for t>T0(μ,ν)>1, where G1(0)=εKδ2(1)Ωcf(x)ϕ1(x)dx>0. This finishes the proof of Lemma 6.2.

    Lemma 6.3. Let u be a weak solution of problem (1.2). If (p,q) and (f(x),g(x)) satisfy the conditions in Theorem 1.7, it holds that

    G2(t)+Cν2(1+ν2p1epp1t(1+t))0, (6.9)

    where C is a positive constant which depends on p,f,g,R,ε0,μ but not on ε,ν.

    Proof of Lemma 6.3. We define two functions

    {F1(t)=Ωcu(x,t)ψ(x,t)dx,F2(t)=Ωcut(x,t)ψ(x,t)dx.

    Replacing ϕ(x,s) in (1.6) by ψ(x,t) and using the fact F1(t)+F1(t)=F2(t) lead to

    m(t)(F1(t)+F2(t))εC(f,g)+t0ν2m(s)(1+s)2F1(s)ds=t0m(s)Ωc(|ut(x,s)|p+|u(x,s)|q)ψ(x,s)dxds+t0m(s)F1(s)ds, (6.10)

    where C(f,g)=Ωc(f(x)+g(x))ϕ1(x)dx.

    Therefore, we arrive at

    ddt(F2(t)m(t))+2m(t)F2(t)=m(t)(F1(t)+F2(t))ν2m(t)(1+t)2F1(t)+m(t)Ωc(|ut(x,t)|p+|u(x,t)|q)ψ(x,t)dx. (6.11)

    Combining (6.8), (6.10) and (6.11), we deduce

    ddt(F2(t)m(t))+2m(t)F2(t)=εC(f,g)+t0m(s)Ωc(|ut(x,s)|p+|u(x,s)|q)ψ(x,s)dxds+m(t)Ωc(|ut(x,t)|p+|u(x,t)|q)ψ(x,t)dx+t0m(s)F1(s)dsν2t0m(t)(1+s)2F1(s)dsν2m(t)(1+t)2F1(t)t0Ωc|ut(x,s)|pψ(x,s)dxdsCεν2Cν2t0es|F2(s)|ds, (6.12)

    where C(f,g)=Ωc(f(x)+g(x))ϕ1(x)dx, we have applied the facts G1(t)=etρ1(t)F1(t), F1(t)+F1(t)=F2(t) and m(t)1.

    Taking advantage of the Holder inequality and Lemma 2.2 yields

    Cν2t0es|F2(s)|dst0Ωc|ut(x,s)|pψ(x,s)dxds+Cν2pp1epp1t(1+t). (6.13)

    Making use of (6.12) and (6.13), we have

    ddt(e2tF2(t)m(t))+Cν2e2t+Cν2pp1e3p2p1t(1+t)0. (6.14)

    As a consequent, it holds that

    G2(t)+Cν2etρ1(t)(1+t)μ+Cν2pp1etρ1(t)epp1t(1+t)1μ0, (6.15)

    where we have used G2(t)=etρ1(t)F2(t).

    An application of (6.15) and the fact ρ1(t)etC(1+t)μ2 gives rise to

    G2(t)+Cν2(1+ν2p1epp1t(1+t))0. (6.16)

    This ends the proof of Lemma 6.3.

    Lemma 6.4. Let u be a weak solution of problem (1.2). If (p,q) and (f(x),g(x)) satisfy the conditions in Theorem 1.7, then there exists T1>0 such that

    G2(t)CG2ε,tT1=ln(ε), (6.17)

    where CG2 is a positive constant which depends on p,f,g,R,ε0,ν,μ.

    Proof of Lemma 6.4. Applying (6.7) and the fact G1(t)ρ1(t)ρ1(t)G1(t)=G2(t) leads to

    G2(t)+(μ1+tρ1(t)ρ1(t))G1(t)=t0Ωc(|ut(x,s)|p+|u(x,s)|q)ψ2(x,s)dxds+εC(f,g). (6.18)

    Taking into account (6.1), (6.2), (6.18) and Lemma 6.2, we derive

    G2(t)+34(μ1+t2ρ1(t)ρ1(t))G2(t)I4(t)+I5(t)+Ωc(|ut(x,t)|p+|u(x,t)|q)ψ2(x,t)dxCε, (6.19)

    where

    I4(t)=(ρ1(t)2ρ1(t)μ4(1+t))(G2(t)+(μ1+tρ1(t)ρ1(t))G1(t))Cε+14t0Ωc(|ut(x,s)|p+|u(x,s)|q)ψ2(x,s)dxds

    for t>˜T1(μ,ν)T0,

    I5(t)=(1ν2(1+t)2+(ρ1(t)2ρ1(t)+μ4(1+t))(μ1+tρ1(t)ρ1(t)))G1(t)0

    for t>˜T2(μ,ν)˜T1(μ,ν).

    Utilizing (6.19) and Lemma 6.3, we conclude

    G2(t)CG2ε (6.20)

    for tT1=lnε. This completes the proof of Lemma 6.4.

    We define the function

    F(t)=Ωcu(x,t)dx. (6.21)

    Choosing the test function ϕ(x,t)1 in (1.5) yields

    F(t)+μ1+tF(t)+ν2(1+t)2F(t)=Ωc(|ut(x,t)|p+|u(x,t)|q)dx. (6.22)

    Therefore, we obtain

    \begin{eqnarray} \big(F'(t)+\frac{r_{1}}{1+t}F(t)\big)'+\frac{r_{2}+1}{1+t}\big(F'(t)+\frac{r_{1}}{1+t}F(t) \big) = \int_{\Omega^{c}}\big(|u_{t}(x,t)|^{p}+|u(x,t)|^{q} \big)dx, \end{eqnarray} (6.23)

    where r_{1} = \frac{\mu-1-\sqrt{\delta}}{2} and r_{2} = \frac{\mu-1+\sqrt{\delta}}{2} are real roots of the quadratic equation r^{2}-(\mu-1)r+\nu^{2} = 0 .

    It is deduced from (1.8) and (6.23) that

    \begin{eqnarray} F(t)\geq \int_{0}^{t}(\frac{1+\tau}{1+t})^{r_{1}}d\tau \int_{0}^{\tau}(\frac{1+s}{1+\tau})^{r_{2}+1}ds\int_{\Omega^{c}}\big(|u_{t}(x,s)|^{p}+|u(x,s)|^{q} \big)dx. \end{eqnarray} (6.24)

    Making use of the Holder inequality and (6.24), we acquire

    \begin{eqnarray} F(t)\geq C\int_{0}^{t}(\frac{1+\tau}{1+t})^{r_{1}}d\tau\int_{0}^{\tau}(\frac{1+s}{1+\tau})^{r_{2}+1}(1+s)^{-3(q-1)}|F(s)|^{q}ds, \end{eqnarray} (6.25)

    where C = (means(B_{1}))^{1-q}R^{-3(q-1)} > 0 .

    Employing Lemma 6.4, (6.4) and the fact \rho_{1}(t)e^{t}\leq C(1+t)^{\frac{\mu}{2}} gives rise to

    \begin{eqnarray} &&\int_{\Omega^{c}}|u_{t}(x,t)|^{p}dx\geq G_{2}^{p}(t)(\int_{\Omega^{c}\cap\{|x|\leq t+R\}}(\psi_{2}(x,t))^{\frac{p}{p-1}}dx)^{-(p-1)}\\ &&\qquad\qquad\quad\; \; \; \,\,\geq \widetilde{C}_{1}\varepsilon^{p}(t+R)^{ -\frac{\mu p+2(p-2)}{2}}. \end{eqnarray} (6.26)

    Plugging (6.26) into (6.24), we deduce

    \begin{eqnarray} &&F(t)\geq \widetilde{C}_{1}\varepsilon^{p} \int_{0}^{t}(\frac{1+\tau}{1+t})^{r_{1}}d\tau \int_{0}^{\tau}(\frac{1+s}{1+\tau})^{r_{2}+1}(s+R)^{-\frac{\mu p+2(p-2)}{2}}ds\\ &&\quad \; \,\,\geq \widetilde{C}_{1}\varepsilon^{p}(1+t)^{-r_{1}}\int_{T_{0}}^{t}(1+\tau)^{r_{1}-r_{2}-1-(2+\mu)\frac{p}{2}}d\tau \int_{T_{0}}^{\tau} (1+s)^{3+r_{2}}ds\\ &&\quad \; \,\,\geq \widetilde{C}_{1}\varepsilon^{p}(1+t)^{-r_{2}-1-(2+\mu)\frac{p}{2}}\int_{T_{0}}^{t}d\tau \int_{T_{0}}^{\tau}(s-T_{0})^{3+r_{2}}ds\\ &&\quad \; \,\, \geq \frac{\widetilde{C}_{1}}{(4+r_{2})(5+r_{2})}\varepsilon^{p}(t+R)^{-r_{2}-1-(2+\mu)\frac{p}{2}}(t-T_{0})^{5+r_{2}} \end{eqnarray} (6.27)

    for t > T_{0} .

    We set

    \begin{eqnarray} F(t)\geq D_{j}(t+R)^{-a_{j}}(t-T_{0})^{b_{j}}, \end{eqnarray} (6.28)

    where

    \begin{eqnarray} D_{1} = \frac{\widetilde{C}_{1}}{(4+r_{2})(5+r_{2})} ,\; \; a_{1} = r_{2}+1+(2+\mu)\frac{p}{2},\; \; b_{1} = 5+r_{2}. \end{eqnarray} (6.29)

    Utilizing (6.25) and (6.28), we have

    \begin{eqnarray} &&F(t) \geq CD_{j}^{q}(1+t)^{-r_{2}-1-3(q-1)-qa_{j}}\int_{T_{0}}^{t}\int_{T_{0}}^{\tau}(s-T_{0})^{r_{2}+1+qb_{j}}dsd\tau\\ &&\quad\; \; \,\geq \frac{CD_{j}^{q}}{(r_{2}+qb_{j}+2)(r_{2}+qb_{j}+3)}( t+R)^{-r_{2}-1-3(q-1)-qa_{j}}\\ &&\quad\; \; \,\quad\times (t-T_{0})^{r_{2}+qb_{j}+3}. \end{eqnarray} (6.30)

    We denote the sequences \{D_{j}\}_{j\in\mathbb{N}} , \{a_{j}\}_{j\in\mathbb{N}} , \{b_{j}\}_{j\in\mathbb{N}} by

    \begin{eqnarray} D_{j+1}\geq \frac{CD_{j}^{q}}{(r_{2}+qb_{j}+2)(r_{2}+qb_{j}+3)}, \end{eqnarray} (6.31)
    \begin{eqnarray} a_{j+1} = r_{2}+1+3(q-1)+qa_{j} ,\; \; \; \; b_{j+1} = r_{2}+qb_{j}+3. \end{eqnarray} (6.32)

    Taking advantage of (6.29), (6.31) and (6.32) leads to

    \begin{eqnarray} a_{j} = q^{j-1}(a_{1}+3+\frac{r_{2}+1}{q-1})-(3+\frac{r_{2}+1}{q-1}), \end{eqnarray} (6.33)
    \begin{eqnarray} b_{j} = q^{j-1} (b_{1}+\frac{r_{2}+3}{q-1})-\frac{r_{2}+3}{q-1}, \end{eqnarray} (6.34)
    \begin{eqnarray} D_{j}\geq \exp\{q^{j-1}(\log D_{1}-S_{q}(\infty))\}, \end{eqnarray} (6.35)

    where S_{q}(j) = \frac{2q\log q}{(q-1)^{2}}-\frac{q\log C}{q-1} converges to S_{q}(\infty) as j\rightarrow \infty .

    Employing (6.28), (6.29) and (6.33)–(6.35), we achieve

    \begin{eqnarray} F(t)\geq \exp(q^{j-1}J(t))(t+R)^{3+\frac{r_{2}+1}{q-1}}(t-T_{0})^{\frac{r_{2}+3}{q-1}} \end{eqnarray} (6.36)

    and

    \begin{eqnarray} &&J(t) = \log D_{1}-S_{q}(\infty)-\big(a_{1}+3+\frac{r_{2}+1}{q-1} \big)\log (t+R)\\ &&\qquad\quad\,+\big(b_{1}+\frac{r_{2}+3}{q-1} \big)\log(t-T_{0})\\ &&\quad\; \; \geq \log \big(D_{1} (t-T_{0})^{\frac{4-((2+\mu)p-2)(q-1)}{2(q-1)}}\big)-S_{q}(\infty)\\ &&\qquad\quad\,-\big(a_{1}+3+\frac{r_{2}+1}{q-1}\big) \log2 \end{eqnarray} (6.37)

    for t > 2T_{0}+1 . Recalling p > p_{G}(3+\mu) , q > q_{S}(3+\mu) and \lambda(p, q, 3+\mu) < 4 , we conclude lifespan estimate (1.9) in Theorem 1.7. This completes the proof of Theorem 1.7.

    We are in the position to show variation of wave for the Cauchy problem of semilinear wave equation in two dimensions. All codes are written and run with Matlab2014a on Windows 10 (64bite), RAM:8G and CPU 3.60 GHz. That is,

    \begin{equation} \left\{ \begin{aligned} & \frac{\partial u}{\partial t} = v,\\ & \frac{\partial v}{\partial t} = (\frac{\partial ^{2}}{\partial x^{2}}+\frac{\partial ^{2}}{\partial y^{2}})u +|u|^{3}, \end{aligned} \right. \end{equation} (7.1)
    \begin{equation} \; \; \; \; \; \; \; \; \; \; \; \; \; \; \left\{ \begin{aligned} & \frac{\partial u}{\partial t} = v,\\ & \frac{\partial v}{\partial t} = (\frac{\partial ^{2}}{\partial x^{2}}+\frac{\partial ^{2}}{\partial y^{2}})u-u_{t}+u+|u|^{3}. \end{aligned} \right. \end{equation} (7.2)

    Suppose that the initial values satisfy

    u|_{t = 0} = e^{-20[(x-0.4)^{2}+(y+0.4)^{2}]}+e^{-20[(x+0.4)^{2}+(y-0.4)^{2}]},\; \; \frac{\partial u}{\partial t}|_{t = 0} = 0.

    The following two group figures indicate the propagation of wave in two dimensions.

    Figure 1 represents the trend of wave from t = 0 s to t = 1 s when nonlinear term is |u|^{3} in problem (7.1). It indicates that there are two peaks of wave when t = 0 s. With the increase of time, two peaks of wave move downward until they disappear. Then, two new wave peaks appear at different positions when t = 0.8 s. From t = 0.8 s to t = 0.9 s, the new wave amplitudes decrease gradually. However, when t = 0.9 s \sim 1 s, the old wave amplitudes increase constantly. When t = 1 s, the wave peaks appear again and the position of wave peaks is same as the position of t = 0 s.

    Figure 1.  Wave variation of semilinear wave equation.

    Figure 2 stands for the trend of wave from t = 0 s to t = 2.9 s when nonlinear term is |u|^{3} in problem (7.2). When t = 0 s, it shows the initial state of wave with two peaks. From t = 0 s to t = 0.5 s, the wave peaks continue to drop and begin to stack when they meet. When t = 0.5 s \sim 1 s, two new waves appear at different positions and the amplitude increases continuously to form two new wave peaks. When t = 1 s \sim 1.1 s, the amplitudes of wave decreases gradually. When t = 2.9 s, two wave peaks appears again and the position is same as t = 0 s.

    Figure 2.  Wave variation of semilinear wave equation with frictional damping term and negative mass term.

    From our observation of the above two groups of figures, we obtain that the frictional damping and negative mass terms have an effect on the wave propagation and wave amplitude.

    This article is dedicated to investigating blow-up results and lifespan estimates of solutions to the initial boundary value problems of semilinear wave equations with damping term and mass term as well as Neumann boundary conditions on exterior domain in three dimensions. Our main new contribution is that upper bound lifespan estimates of solutions are related to the Strauss exponent and Glassey exponent. We extend the Cauchy problem investigated in the related papers to problems (1.1) and (1.2) with damping term, mass term and Neumann boundary condition on exterior domain in three dimensions. Applying test function technique ( \psi_{2}(x, t) = \rho_{1}(t)\frac{1}{r}e^{r} with r = \sqrt{x_{1}^{2}+x_{2}^{2}+x_{3}^{2}} ) and iterative approach, upper bound lifespan estimates of solutions to problems (1.1) and (1.2) are deduced (see Theorems 1.1–1.7). In addition, we characterize the variation of wave by employing numerical simulation.

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

    The author Sen Ming would like to express his sincere thanks to Professor Yi Zhou for his guidance and encouragement during the postdoctoral study in Fudan University. The author Sen Ming also would like to express his sincere thanks to Professors Han Yang and Ning-An Lai for their helpful suggestions and discussions. The project is supported by the Fundamental Research Program of Shanxi Province (No. 20210302123021, No. 20210302123045, No. 20210302124657, No. 20210302123182), the Program for the Innovative Talents of Higher Education Institutions of Shanxi Province, the Innovative Research Team of North University of China (No. TD201901), National Natural Science Foundation of China (No. 11601446).

    This work has no conflict of interest.



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