Processing math: 85%
Research article Special Issues

Motion and trajectory planning modeling for mobile landing mechanism systems based on improved genetic algorithm

  • In many traditional soft-landing missions, researchers design the lander and the rover as two separate individuals, which has its limitations. At present, research on landers mainly focuses on the performance analysis of those who cannot move, and the motion of legged mobile lander has not yet been studied. In this paper, a novel Mobile Landing Mechanism (MLM) is proposed. Firstly, the monte-Carlo method is used to solve the workspace, and the motion feasibility of the mechanism is verified. Secondly, combining with the constraints of velocity, acceleration and secondary acceleration of each driving joint of the MLM, the trajectory of its joint space is planned by using cubic spline curve. And based on the weighted coefficient method, an optimal time-jerk pedestal trajectory planning model is established. Finally, by comparing the genetic algorithm (GA) with the adaptive genetic algorithm (AGA), an optimization algorithm is proposed to solve the joint trajectory optimization problem of the MLM, which can obtain better trajectory under constraints. Simulation shows that the motion performance of the mechanism is continuous and stable, which proves the rationality and effectiveness of the foot trajectory planning method.

    Citation: Jinhua Zhou, Shan Jia, Jinbao Chen, Meng Chen. Motion and trajectory planning modeling for mobile landing mechanism systems based on improved genetic algorithm[J]. Mathematical Biosciences and Engineering, 2021, 18(1): 231-252. doi: 10.3934/mbe.2021012

    Related Papers:

    [1] La-Su Mai, Suriguga . Local well-posedness of 1D degenerate drift diffusion equation. Mathematics in Engineering, 2024, 6(1): 155-172. doi: 10.3934/mine.2024007
    [2] Giacomo Ascione, Daniele Castorina, Giovanni Catino, Carlo Mantegazza . A matrix Harnack inequality for semilinear heat equations. Mathematics in Engineering, 2023, 5(1): 1-15. doi: 10.3934/mine.2023003
    [3] David Cruz-Uribe, Michael Penrod, Scott Rodney . Poincaré inequalities and Neumann problems for the variable exponent setting. Mathematics in Engineering, 2022, 4(5): 1-22. doi: 10.3934/mine.2022036
    [4] Pawan Kumar, Christina Surulescu, Anna Zhigun . Multiphase modelling of glioma pseudopalisading under acidosis. Mathematics in Engineering, 2022, 4(6): 1-28. doi: 10.3934/mine.2022049
    [5] Antonio Iannizzotto, Giovanni Porru . Optimization problems in rearrangement classes for fractional p-Laplacian equations. Mathematics in Engineering, 2025, 7(1): 13-34. doi: 10.3934/mine.2025002
    [6] Daniele Castorina, Giovanni Catino, Carlo Mantegazza . A triviality result for semilinear parabolic equations. Mathematics in Engineering, 2022, 4(1): 1-15. doi: 10.3934/mine.2022002
    [7] Anne-Charline Chalmin, Jean-Michel Roquejoffre . Improved bounds for reaction-diffusion propagation driven by a line of nonlocal diffusion. Mathematics in Engineering, 2021, 3(1): 1-16. doi: 10.3934/mine.2021006
    [8] Giuseppe Maria Coclite, Lorenzo di Ruvo . On the initial-boundary value problem for a Kuramoto-Sinelshchikov type equation. Mathematics in Engineering, 2021, 3(4): 1-43. doi: 10.3934/mine.2021036
    [9] Raúl Ferreira, Arturo de Pablo . A nonlinear diffusion equation with reaction localized in the half-line. Mathematics in Engineering, 2022, 4(3): 1-24. doi: 10.3934/mine.2022024
    [10] Antonio Vitolo . Singular elliptic equations with directional diffusion. Mathematics in Engineering, 2021, 3(3): 1-16. doi: 10.3934/mine.2021027
  • In many traditional soft-landing missions, researchers design the lander and the rover as two separate individuals, which has its limitations. At present, research on landers mainly focuses on the performance analysis of those who cannot move, and the motion of legged mobile lander has not yet been studied. In this paper, a novel Mobile Landing Mechanism (MLM) is proposed. Firstly, the monte-Carlo method is used to solve the workspace, and the motion feasibility of the mechanism is verified. Secondly, combining with the constraints of velocity, acceleration and secondary acceleration of each driving joint of the MLM, the trajectory of its joint space is planned by using cubic spline curve. And based on the weighted coefficient method, an optimal time-jerk pedestal trajectory planning model is established. Finally, by comparing the genetic algorithm (GA) with the adaptive genetic algorithm (AGA), an optimization algorithm is proposed to solve the joint trajectory optimization problem of the MLM, which can obtain better trajectory under constraints. Simulation shows that the motion performance of the mechanism is continuous and stable, which proves the rationality and effectiveness of the foot trajectory planning method.


    We investigate existence of nonnegative global in time solutions to the quasilinear parabolic problem

    {ut=div(|u|p2u)+uσinM×(0,T)u=u0inM×{0}, (1.1)

    where M is an N-dimensional, complete, noncompact, Riemannian manifold of infinite volume, whose metric is indicated by g, and where div and are respectively the divergence and the gradient with respect to g and T(0,+]. We shall assume throughout this paper that

    2NN+1<p<N,σ>p1. (1.2)

    The problem is posed in the Lebesgue spaces

    Lq(M)={v:MRmeasurable,vLq:=(Mvqdμ)1/q<+},

    where μ is the Riemannian measure on M. We also assume the validity of the Sobolev inequality:

    (Sobolev inequality)vLp(M)1Cs,pvLp(M)for anyvCc(M), (1.3)

    where Cs,p>0 is a constant and p:=pNNp. In some cases we also assume that the Poincaré inequality is valid, that is

    (Poincaré inequality)vLp(M)1CpvLp(M)for anyvCc(M), (1.4)

    for some Cp>0. Observe that, for instance, (1.3) holds if M is a Cartan-Hadamard manifold, i.e., a simply connected Riemannian manifold with nonpositive sectional curvatures, while (1.4) is valid when M is a Cartan-Hadamard manifold satisfying the additional condition of having sectional curvatures bounded above by a constant c<0 (see, e.g., [15,16]). Therefore, as it is well known, on RN (1.3) holds, but (1.4) fails, whereas on the hyperbolic space both (1.3) and (1.4) are fulfilled.

    Global existence and finite time blow-up of solutions for problem (1.1) has been deeply studied when M=RN, especially in the case p=2 (linear diffusion). The literature for this problem is huge and there is no hope to give a comprehensive review here. We just mention the fundamental result of Fujita, see [10], who shows that blow-up in a finite time occurs for all nontrivial nonnegative data when σ<1+2N, while global existence holds, for σ>1+2N, provided the initial datum is small enough in a suitable sense. Furthermore, the critical exponent σ=1+2N, belongs to the case of finite time blow-up, see e.g., [22] for the one dimensional case, N=1, or [23] for N>1. For further results concerning problem (1.1) with p=2 see e.g., [7,9,11,20,26,34,35,36,41,42,43]).

    Similarly, the case of problem (1.1) when M=RN and p>1 has attracted a lot of attention, see e.g., [12,13,14,30,31,32,33] and references therein. In particular, in [31], nonexistence of nontrivial weak solutions is proved for problem (1.1) with M=RN and

    p>2NN+1,max{1,p1}<σp1+pN.

    Similar weighted problems have also been treated. In fact, for any strictly positive measurable function ρ:RNR, let us consider the weighted Lqρ spaces

    Lqρ(RN)={v:RNRmeasurable,vLqρ:=(RNvqρ(x)dx)1/q<+}.

    In [27] problem

    {ρ(x)ut=div(|u|p2u)+ρ(x)uσinRN×(0,T)u=u0inRN×{0}, (1.5)

    is addressed. In [27,Theorem 1], it is showed that, when p>2, ρ(x)=(1+|x|)l, 0l<p, σ>p1+pN, u0L1ρ(RN)Lsρ(RN) is sufficiently small, with s>(Nl)(σp+1)pl, then problem (1.5) admits a global in time solution. Moreover, the solution satisfies a smoothing estimate L1ρL, in the sense that for sufficiently small data u0L1ρ(RN), the corresponding solution is bounded, and a quantitive bound on the L norm of the solution holds, in term of the L1ρ(RN) norm of the initial datum. On the other hand, in [27,Theorem 2], when p>2, ρ(x)=(1+|x|)l, lp, σ>p1, u0L1ρ(RN)Lsρ(RN) is sufficiently small, with s>Np(σp+1), then problem (1.5) admits a global in time solution, which is bounded for positive times.

    On the other hand, existence and nonexistence of global in time solutions to problems closely related to problem (1.1) have been investigated also in the Riemannian setting. The situation can be significantly different from the Euclidean situation, especially in the case of negative curvature. Infact, when dealing with the case of the N-dimensional hyperbolic space, M=HN, it is known that when p=2, for all σ>1 and sufficiently small nonnegative data there exists a global in time solution, see [3,34,39,40]. A similar result has been also obtain when M is a complete, noncompact, stochastically complete Riemannian manifolds with λ1(M)>0, where λ1(M):=infspec(Δ), see [19]. Stochastic completeness amounts to requiring that the linear heat semigroup preserves the identity, and is known to hold e.g., if the sectional curvature satisfies sec(x)cd(x,o)2 for all xM outside a given compact, and a suitable c>0, where d is the Riemannian distance and o is a given pole. Besides, it is well known that λ1(M)>0 e.g., if sec(x)c<0 for all xM. Therefore, the class of manifolds for which the results of [19] hold is large, since it includes e.g., all Cartan-Hadamard manifolds with curvature bounded away from zero and not diverging faster than quadratically at infinity.

    Concerning problem (1.1) with p>1, we refer the reader to [28,29] and references therein. In particular, in [28], nonexistence of global in time solutions on infinite volume Riemannian manifolds M is shown under suitable weighted volume growth conditions. In [29], problem (1.1) with M=Ω being a bounded domain and uσ replaced by V(x,t)uσ is addressed, where V is a positive potential. To be specific, nonexistence of nonnegative, global solutions is established under suitable integral conditions involving V, p and σ.

    In this paper, we prove the following results. Assume that the bounds (1.2) and the Sobolev inequality (1.3) hold, and besides that σ>p1+pN.

    (a) If u0Ls(M)L1(M) is sufficiently small, with s>(σp+1)Np, then a global solution exists. Furthermore, a smoothing estimate of the type L1L holds (see Theorem 2.2).

    (b) If u0L(σp+1)Np(M) is sufficiently small, then a global solution exists. Furthermore, a smoothing estimate of the type L(σp+1)NpL holds (see Theorem 2.4), this being new even in the Euclidean case.

    (c) In addition, in both the latter two cases, we establish a L(σp+1)NpLq smoothing estimate, for any (σp+1)Npq<+ and an LqLq estimate for any 1<q<+, for suitable initial data u0.

    Now suppose that both the Sobolev inequality (1.3) and the Poincaré inequality (1.4) hold, and that (1.2) holds. This situation has of course no Euclidean analogue, as it is completely different from the case of a bounded Euclidean domain since M is noncompact and of infinite measure. Then:

    (d) If u0Ls(M)LσNp(M) is sufficiently small, with s>max{(σp+1)Np,1}, then a global solution exists. Furthermore, a smoothing estimate of the type LsL holds (see Theorem 2.7).

    (e) In addition, we establish and LσNpLq estimate, for any σNpq<+ and an LqLq estimate for any 1<q<+, for suitable initial data u0.

    Note that, when we require both (1.3) and (1.4), the assumption on σ can be relaxed.

    In order to prove (a), we adapt the methods exploited in [27,Theorem 1]. Moreover, (b), (c) and (e) are obtained by means of an appropriate use of the Moser iteration technique, see also [18] for a similar result in the case of the porous medium equation with reaction. The proof of statement (d) is inspired [27,Theorem 2]; however, significant changes are needed since in [27] the precise form of the weight ρ is used.

    As concerns smoothing effects for general nonlinear evolution equations, we refer the reader to the fundamental works of Bénilan [4] and, slightly later but with considerable further generality and methodological simplifications, Véron [38]. Recently, Coulhon and Hauer further generalize such results and give new and abstract ones which even allow to avoid Moser's iteration in a very general functional analytic setting, through an extrapolation argument, see [8]. It should also be remarked that, though we deal with weak solutions to our problems, it is certainly possible to prove existence of solution in stronger senses, e.g., the strong one according to Bénilan and Crandall seminal contribution [5]. In this regard, we also refer to the recent paper [21], in which existence results are proved also for parabolic equations governed by the p-Laplace operator with Lipschitz lower-order terms. We also mention that several important and seminal contributions to regularity results for solutions of general nonlinear parabolic equations and systems can be found in several works by Mingione, see e.g., [1,6,24].

    The paper is organized as follows. The main results are stated in Section 2. Section 3 is devoted to Lq0Lq and LqLq smoothing estimates, mainly instrumental to what follows. Some a priori estimates are obtained in Section 4. In Sections 5–7, Theorems 2.2, 2.4 and 2.7 are proved, respectively. Finally, in Section 8 we state similar results for the porous medium equation with reaction; the proofs are omitted since they are entirely similar to the p-Laplacian case.

    Solutions to (1.1) will be meant in the weak sense, according to the following definition.

    Definition 2.1. Let M be a complete noncompact Riemannian manifold of infinite volume. Let p>1, σ>p1 and u0L1loc(M), u00. We say that the function u is a weak solution to problem (1.1) in the time interval [0,T) if

    uL2((0,T);W1,ploc(M))Lσloc(M×(0,T))

    and for any φCc(M×[0,T]) such that φ(x,T)=0 for any xM, u satisfies the equality:

    T0Muφtdμdt=T0M|u|p2u,φdμdt+T0Muσφdμdt+Mu0(x)φ(x,0)dμ.

    First we consider the case that σ>p1+pN and that the Sobolev inequality holds on M. In order to state our results, we define

    σ0:=(σp+1)Np. (2.1)

    Observe that σ0>1 whenever σ>p1+pN. Our first result is a generalization of [27] to the geometric setting considered here.

    Theorem 2.2. Let M be a complete, noncompact, Riemannian manifold of infinite volume such that the Sobolev inequality (1.3) holds. Assume (1.2) holds and, besides, that σ>p1+pN, s>σ0 and u0Ls(M)L1(M), u00 where σ0 has been defined in (2.1).

    (ⅰ) Assume that

    u0Ls(M)<ε0,u0L1(M)<ε0, (2.2)

    with ε0=ε0(σ,p,N,Cs,p)>0 sufficiently small. Then problem (1.1) admits a solution for any T>0, in the sense of Definition 2.1. Moreover, for any τ>0, one has uL(M×(τ,+)) and there exists a constant Γ>0 such that, one has

    u(t)L(M)Γtαu0pN(p2)+pL1(M)for all t > 0 , (2.3)

    where

    α:=NN(p2)+p.

    (ⅱ) Let σ0q<. If

    u0Lσ0(M)<ˆε0 (2.4)

    for ˆε0=ˆε0(σ,p,N,Cs,p,q)>0 small enough, then there exists a constant C=C(σ,p,N,ˆε0,Cs,p,q)>0 such that

    u(t)Lq(M)Ctγqu0δqLσ0(M)forallt>0, (2.5)

    where

    γq=1σ1[1N(σp+1)pq],δq=σp+1σ1[1+N(p2)pq].

    (ⅲ) Finally, for any 1<q<, if u0Lq(M)Lσ0(M) and

    u0Lσ0(M)<ε (2.6)

    with ε=ε(σ,p,N,Cs,p,q)>0 sufficiently small, then

    u(t)Lq(M)u0Lq(M)forallt>0. (2.7)

    Remark 2.3. Observe that the choice of ε0 in (2.2) is made in Lemma 5.1. Moreover, the proof of the above theorem will show that one can take an explicit value of ˆε0 in (2.4) and ε in (2.6). In fact, let q0>1 be fixed and {qn}nN be the sequence defined by:

    qn=NNp(p+qn12),for allnN,

    so that

    qn=(NNp)nq0+NNp(p2)n1i=0(NNp)i. (2.8)

    Clearly, {qn} is increasing and qn+ as n+. Fix q[q0,+) and let ˉn be the first index such that qˉnq. Define

    ˜ε0=˜ε0(σ,p,N,Cs,p,q,q0):=[min{minn=0,...,ˉn(p(qn1)1/pp+qn2)p;(p(σ01)1/ppσ02)p}Cps,p2]1σp+1. (2.9)

    Observe that ˜ε0 in (2.9) depends on the value q through the sequence {qn}. More precisely, ˉn is increasing with respect to q, while the quantity minn=0,...,ˉn(qn1)(pp+qn2)pCps,p2 decreases w.r.t. q.

    Then, in (2.4) we can take

    ˆε0=ˆε0(σ,p,N,Cs,p,q)=˜ε0(σ,p,N,Cs,p,q,σ0).

    Similarly, in (2.6), we can take

    ε=ˉε0ˆε0,

    where

    ˉε0=ˉε0(σ,p,Cs,p,q):=[min{(p(q1)1/pp+q2)pCps,p;(p(σ01)1/ppσ02)pCps,p}]1σp+1.

    The next result involves a similar smoothing effect for a different class of data. Such result seems to be new also in the Euclidean setting.

    Theorem 2.4. Let M be a complete, noncompact, Riemannian manifold of infinite volume such that the Sobolev inequality (1.3) holds. Assume (1.2) and, besides, that σ>p1+pN and u0Lσ0(M), u00, with σ0 as in (2.1). Assume that

    u0Lσ0(M)<ε2, (2.10)

    with ε2=ε2(σ,p,N,Cs,p,q)>0 sufficiently small. Then problem (1.1) admits a solution for any T>0, in the sense of Definition 2.1. Moreover, for any τ>0, one has uL(M×(τ,+)) and for any σ>σ0, there exists a constant Γ>0 such that, one has

    u(t)L(M)Γt1σ1u0σp+1σ1Lσ0(M)for all t>0. (2.11)

    Moreover, (ⅱ) and (ⅲ) of Theorem 2.2 hold.

    Remark 2.5. We comment that, as in Remark 2.3, one can choose an explicit value for ε2 in (2.10). In fact, let q0=σ0 in (2.9). It can be shown that one can take, with this choice of q0:

    ε2=ε2(σ,p,N,Cs,p,σ0):=min{˜ε0(σ,p,N,Cs,p,q,σ0);(1C˜C)1σp+1},

    where C>0 and ˜C>0 are defined in Proposition 3.3 and Lemma 4.3, respectively.

    Remark 2.6. Observe that, due to the assumption σ>p1+pN, one has

    1σ1<NN(p2)+p.

    Hence, for large times, the decay given by Theorem 2.4 is worse than the one of Theorem 2.2; however, in this regards, note that the assumptions on the initial datum u0 are different in the two theorems. On the other hand, estimates (2.11) and (2.3), are not sharp in general for small times. For example, when u0L(M), u(t) remains bounded for any t[0,T), where T is the maximal existence time.

    In the next theorem, we address the case σ>p1, assuming that both the inequalities (1.3) and (1.4) hold on M, hence with stronger assumptions on the manifold considered. This has of course no Euclidean analogue, as the noncompactness of the manifold considered, as well as the fact that it has infinite volume, makes the situation not comparable to the case of a bounded Euclidean domain.

    Theorem 2.7. Let M be a complete, noncompact manifold of infinite volume such that the Sobolev inequality (1.3) and the Poincaré inequality (1.4) hold. Assume that (1.2) holds, and besides that p>2. Let u00 be such that u0Ls(M)LσNp(M), for some s>max{σ0,1} and q0>1. Assume also that

    u0Ls(M)<ε1,u0LσNp(M)<ε1,

    with ε1=ε1(σ,p,N,Cs,p,Cp,s) sufficiently small. Then problem (1.1) admits a solution for any T>0, in the sense of Definition 2.1. Moreover, for any τ>0, one has uL(M×(τ,+)) and, for any q>s, there exists a constant Γ>0 such that, one has

    u(t)L(BR)Γtβq,su0psN(p2)+pqLs(BR)forallt>0, (2.12)

    where

    βq,s:=1p2(1psN(p2)+pq)>0.

    Moreover, let sq< and

    u0Ls(M)<ˆε1

    for ˆε1=ˆε1(σ,p,N,Cs,p,Cp,q,s) small enough. Then there exists a constant C=C(σ,p,N,ε1,Cs,p,Cp,q,s)>0 such that

    u(t)Lq(M)Ctγqu0δqLs(M)forallt>0, (2.13)

    where

    γq=sp2[1s1q],δq=sq.

    Finally, for any 1<q<, if u0Lq(M)Ls(M) and

    u0Ls(M)<ε

    with ε=ε(σ,p,N,Cs,p,Cp,q) sufficiently small, then

    u(t)Lq(M)u0Lq(M)forallt>0. (2.14)

    Remark 2.8. It is again possible to give an explicit estimate on the smallness parameter ε1 above. In fact, let q0>1 be fixed and {qm}mN be the sequence defined by:

    qm=p+qm12,forallmN,

    so that

    qm=q0+m(p2). (2.15)

    Clearly, {qm} is increasing and qm+ as m+. Fix q[q0,+) and let ˉm be the first index such that qˉmq. Define ˜ε1=˜ε1(σ,p,N,Cs,p,Cp,q,q0) such that

    ˜ε1:=min{[minm=0,...,ˉm(p(qm1)1/pp+qm2)pC]σ+p+qm2σ(σ+qm1)p(p+qm2);[(p(σNp1)1/p(p+σNp2))pC]σ+p+σNp2σ(σ+σNp1)p(p+σNp2)}

    where C=˜CCp(p1σ)p and ˜C=˜C(Cs,p,σ,q)>0 is defined in (3.37). Observe that ˜ε1 depends on q through the sequence {qm}. More precisely, ˉm is increasing with respect to q, while the quantity minm=0,...,ˉm(p(qm1)1/pp+qm2)pC decreases w.r.t. qm. Furthermore, let δ1>0 be such that

    ˜Cδps(σ1)N(p2)+ps1+C˜C4δps(σ1)N(p2)+pq1<1,

    where C>0 and ˜C>0 are defined in Proposition 3.3 and Lemma 4.3, respectively. Then, let q0=s with s as in Theorem 2.7 and define

    ε1=ε1(σ,p,N,Cs,p,Cp,q,s)=min{˜ε1(σ,p,N,Cs,p,Cp,q,s);δ1}.

    Let x0,xM. We denote by r(x)=dist(x0,x) the Riemannian distance between x0 and x. Moreover, we let BR(x0):={xM:dist(x0,x)<R} be the geodesic ball with centre x0M and radius R>0. If a reference point x0M is fixed, we shall simply denote by BR the ball with centre x0 and radius R. We also recall that μ denotes the Riemannian measure on M.

    For any given function v, we define for any kR+

    Tk(v):={kifvk,vif|v|<k,kifvk;. (3.1)

    For every R>0, k>0, consider the problem

    {ut=div(|u|p2u)+Tk(uσ)inBR×(0,+)u=0inBR×(0,+)u=u0inBR×{0}, (3.2)

    where u0L(BR), u00. Solutions to problem (3.2) are meant in the weak sense as follows.

    Definition 3.1. Let p>1 and σ>p1. Let u0L(BR), u00. We say that a nonnegative function u is a solution to problem (3.2) if

    uL(BR×(0,+)),uL2((0,T);W1,p0(BR))foranyT>0,

    and for any T>0, φCc(BR×[0,T]) such that φ(x,T)=0 for every xBR, u satisfies the equality:

    T0BRuφtdμdt=T0BR|u|p2u,φdμdt+T0BRTk(uσ)φdμdt+BRu0(x)φ(x,0)dμ.

    First we consider the case σ>σ0 where σ0 has been defined in (2.1). Moreover, we assume that the Sobolev inequality (1.3) holds on M.

    Lemma 3.2. Assume (1.2) and, besides, that σ>p1+pN. Assume that inequality (1.3) holds. Suppose that u0L(BR), u00. Let 1<q< and assume that

    u0Lσ0(BR)<ˉε (3.3)

    with ˉε=ˉε(σ,p,q,Cs,p)>0 sufficiently small. Let u be the solution of problem (3.2) in the sense of Definition 3.1, and assume that uC([0,T],Lq(BR)) for any q(1,+), for any T>0. Then

    u(t)Lq(BR)u0Lq(BR)forallt>0. (3.4)

    Note that the request uC([0,T],Lq(BR)) for any q(1,), for any T>0 is not restrictive, since we will construct solutions belonging to that class. This remark also applies to several other intermediate results below.

    Proof. Since u0 is bounded and Tk(uσ) is a bounded and Lipschitz function, by standard results, there exists a unique solution of problem (3.2) in the sense of Definition 3.1. We now multiply both sides of the differential equation in problem (3.2) by uq1,

    BRutuq1dx=BRdiv(|u|p2u)uq1dx+BRTk(uσ)uq1dx.

    Now, we formally integrate by parts in BR. This can be justified by standard tools, by an approximation procedure. We get

    1qddtBRuqdμ=(q1)BRuq2|u|pdμ+BRTk(uσ)uq1dμ. (3.5)

    Observe that, thanks to Sobolev inequality (1.3), we have

    BRuq2|u|pdμ=(pp+q2)pBR|(up+q2p)|pdμ(pp+q2)pCps,p(BRup+q2ppNNpdμ)NpN. (3.6)

    Moreover, the last term in the right hand side of (3.5), by using the H{ö}lder inequality with exponents NNp and Np, becomes

    BRTk(uσ)uq1dxBRuσuq1dx=BRuσp+1up+q2dxu(t)σp+1L(σp+1)Np(BR)u(t)p+q2L(p+q2)NNp(BR). (3.7)

    Combining (3.6) and (3.7) we get

    1qddtu(t)qLq(BR)[(q1)(pp+q2)pCps,pu(t)σp+1Lσ0(BR)]u(t)p+q2L(p+q2)NNp(BR) (3.8)

    Take T>0. Observe that, due to hypotheses (3.3) and the known continuity in Lσ0 of the map tu(t) in [0,T], there exists t0>0 such that

    u(t)Lσ0(BR)2ˉεfor anyt[0,t0].

    Hence (3.8) becomes, for any t(0,t0],

    1qddtu(t)qLq(BR)[(pp+q2)p(q1)Cps,p(2ˉε)σp+1]u(t)p+q2L(p+q2)NNp(BR)0,

    where the last inequality is obtained by using (3.3). We have proved that tu(t)Lq(BR) is decreasing in time for any t(0,t0], thus

    u(t)Lq(BR)u0Lq(BR)for anyt(0,t0]. (3.9)

    In particular, inequality (3.9) follows for the choice q=σ0 in view of hypothesis (3.3). Hence we have

    u(t)Lσ0(BR)u0Lσ0(BR)<ˉεfor anyt(0,t0].

    Now, we can repeat the same argument in the time interval (t0,t1], with t1=2t0. This can be done due to the uniform continuity of the map tu(t) in [0,T]. Hence, we can write that

    u(t)σp+1Lσ0(BR)2ˉεfor anyt(t0,t1].

    Thus we get

    u(t)Lq(BR)u0Lq(BR)for anyt(0,t1].

    Iterating this procedure we obtain that tu(t)Lq(BR) is decreasing in [0,T]. Since T>0 was arbitrary, the thesis follows.

    Using a Moser type iteration procedure we prove the following result:

    Proposition 3.3. Assume (1.2) and, besides, that σ>p1+pN. Assume that inequality (1.3) holds. Suppose that u0L(BR), u00. Let u be the solution of problem (3.2), so that uC([0,T],Lq(BR)) for any q(1,+), for any T>0. Let 1<q0q<+ and assume that

    u0Lσ0(BR)˜ε0 (3.10)

    for ˜ε0=˜ε0(σ,p,N,Cs,p,q,q0) sufficiently small. Then there exists C(p,q0,Cs,p,˜ε0,N,q)>0 such that

    u(t)Lq(BR)Ctγqu0δqLq0(BR)forallt>0, (3.11)

    where

    γq=(1q01q)Nq0pq0+N(p2),δq=q0q(q+Np(p2)q0+Np(p2)). (3.12)

    Proof. Let {qn} be the sequence defined in (2.8). Let ˉn be the first index such that qˉnq. Observe that ˉn is well defined in view of the mentioned properties of {qn}, see (2.8). We start by proving a smoothing estimate from q0 to qˉn using a Moser iteration technique (see also [2]). Afterwards, if qˉnq then the proof is complete. Otherwise, if qˉn>q then, by interpolation, we get the thesis.

    Let t>0, we define

    r=t2¯n1,tn=(2n1)r. (3.13)

    Observe that t0=0,tˉn=t,{tn} is an increasing sequence w.r.t. n. Now, for any 1n¯n, we multiply Eq (3.2) by uqn11 and integrate in BR×[tn1,tn]. Thus we get

    tntn1BRutuqn11dμdttntn1BRdiv(|u|p2u)uqn11dμdt=tntn1BRTk(uσ)uqn11dμdt.

    Then we integrate by parts in BR×[tn1,tn]. Due to Sobolev inequality (1.3) and assumption (3.10), we get

    1qn1[u(,tn)qn1Lqn1(BR)u(,tn1)qn1Lqn1(BR)][(pp+qn12)p(qn11)Cps,p2˜ε0]tntn1u(τ)p+qn12L(p+qn12)NNp(BR)dτ, (3.14)

    where we have made use of inequality Tk(uσ)uσ. We define qn as in (2.8), so that (p+qn12)NNp=qn. Hence, in view of hypotheses (3.10) we can apply Lemma 3.2 to the integral on the right hand side of (3.14), hence we get

    1qn1[u(,tn)qn1Lqn1(BR)u(,tn1)qn1Lqn1(BR)][(pp+qn12)p(qn11)Cps,p2˜ε0]u(,tn)p+qn12L(p+qn12)NNp(BR)|tntn1|. (3.15)

    Observe that

    u(,tn)qn1Lqn1(BR)0,|tntn1|=2n1t2ˉn1. (3.16)

    We define

    dn1:=[(pp+qn12)p(qn11)Cps,p2˜ε0]11qn1. (3.17)

    By plugging (3.16) and (3.17) into (3.15) we get

    u(,tn)p+qn12L(p+qn12)NNp(BR)(2ˉn1)dn2n1tu(,tn1)qn1Lqn1(BR).

    The latter can be rewritten as

    u(,tn)L(p+qn12)NNp(BR)((2ˉn1)dn2n1)1p+qn12t1p+qn12u(,tn1)qn1p+qn12Lqn1(BR).

    Due to to the definition of the sequence {qn} in (2.8) we write

    u(,tn)Lqn(BR)((2ˉn1)dn12n1)NNp1qntNNp1qnu(,tn1)qn1qnNNpLqn1(BR). (3.18)

    We define

    s:=NNp. (3.19)

    Observe that, for any 1nˉn, we have

    ((2ˉn1)dn12n1)s={2ˉn12n1[(pp+qn12)p(qn11)Cps,p2ε]11qn1}s=[2ˉn12n11qn1(qn11)(pp+qn12)pCps,p2εqn1]s, (3.20)

    and

    2ˉn12n12ˉn+1for all1nˉn. (3.21)

    Consider the function

    g(x):=[(x1)(pp+x2)pCps,p2ε]xforq0xqˉn,xR.

    Observe that, due to (2.9), g(x)>0 for any q0xqˉn. Moreover, g has a minimum in the interval q0xqˉn; call ˜x the point at which the minimum is attained. Then we have

    1g(x)1g(˜x)for any q0xqˉn. (3.22)

    Thanks to (3.20)–(3.22), there exist a positive constant C, where C=C(N,Cs,p,˜ε0,ˉn,p,q0) such that

    ((2ˉn1)dn12n1)sC,for all1nˉn. (3.23)

    By plugging (3.19) and (3.23) into (3.18) we get, for any 1nˉn

    u(,tn)Lqn(BR)C1qntsqnu(,tn1)sqn1qnLqn1(BR). (3.24)

    Let us set

    Un:=u(,tn)Lqn(BR).

    Then (3.24) becomes

    UnC1qntsqnUqn1sqnn1C1qntsqn[Csqnts2qnUs2qn2qnk2]...C1qnn1i=0sitsqnn1i=0siUsnq0qn0.

    We define

    αn:=1qnn1i=0si,βn:=sqnn1i=0si=sαn,δn:=snq0qn. (3.25)

    By substituting n with ˉn into (3.25) we get

    αˉn:=NppAqˉn,βˉn:=NpAqˉn,δˉn:=(A+1)q0qˉn. (3.26)

    where A:=(NNp)ˉn1. Hence, in view of (3.13) and (3.26), (3.24) with n=ˉn yields

    u(,t)Lqˉn(BR)CNppAqˉntNpAqˉnu0q0A+1qˉnLq0(BR). (3.27)

    We have proved a smoothing estimate from q0 to qˉn. Observe that if qˉn=q then the thesis is proved. Now suppose that qˉn>q. Observe that q0q<qˉn and define

    B:=N(p2)A+pq0(A+1).

    From (3.27) and Lemma 3.2, we get, by interpolation,

    u(,t)Lq(BR)u(,t)θLq0(BR)u(,t)1θLqˉn(BR)u0()θLq0(BR)CtNAB(1θ)u0pq0A+1B(1θ)Lq0(BR)=CtNAB(1θ)u0pq0A+1B(1θ)+θLq0(BR), (3.28)

    where

    θ=q0q(qˉnqqˉnq0). (3.29)

    Observe that

    (i)NAB(1θ)=Np(qq0q)1q0+Np(p2);(ii)pq0A+1B(1θ)+θ=q0qq+Np(p2)q0+Np(p2).

    Combining (3.28), (3.12) and (3.29) we get the claim, noticing that q was arbitrarily in [q0,+).

    Remark 3.4 One can not let q+ is the above bound. In fact, one can show that ε0 as q. So in such limit the hypothesis on the norm of the initial datum (2.9) is satisfied only when u00.

    We now consider the case σ>p1 and that the Sobolev and Poincaré inequalities (1.3), (1.4) hold on M.

    Lemma 3.5. Assume (1.2) and, besides, that p>2. Assume that inequalities (1.3) and (1.4) hold. Suppose that u0L(BR), u00. Let 1<q< and assume that

    u0LσNp(BR)<ˉε1 (3.30)

    for a suitable ˜ε1=˜ε1(σ,p,N,Cp,Cs,p,q) sufficiently small. Let u be the solution of problem (3.2) in the sense of Definition 3.1, such that in addition uC([0,T);Lq(BR)). Then

    u(t)Lq(BR)u0Lq(BR)forallt>0. (3.31)

    Proof. Since u0 is bounded and Tk(uσ) is a bounded and Lipschitz function, by standard results, there exists a unique solution of problem (3.2) in the sense of Definition 3.1. We now multiply both sides of the differential equation in problem (3.2) by uq1, therefore

    BRutuq1dμ=BRdiv(|u|p2u)uq1dμ+BRTk(uσ)uq1dμ.

    We integrate by parts. This can again be justified by a standard approximation procedure. By using the fact that T(uσ)uσ, we can write

    1qddtBRuqdμ(q1)(pp+q2)pBR|(up+q2p)|pdμ+BRuσ+q1dμ. (3.32)

    Now we take c1>0, c2>0 such that c1+c2=1 so that

    BR|(up+q2p)|pdμ=c1(up+q2p)pLp(BR)+c2(up+q2p)pLp(BR). (3.33)

    Take α(0,1). Thanks to (1.4), (3.33) we get

    BR|(up+q2p)|2dμc1Cppup+q2Lp+q2(BR)+c2(up+q2p)pLp(BR)c1Cppup+q2Lp+q2(BR)+c2(up+q2p)p+pαpαLp(BR)c1Cppup+q2Lp+q2(BR)+c2Cpαpuα(p+q2)Lp+q2(BR)(up+q2p)ppαLp(BR) (3.34)

    Moreover, using the interpolation inequality, Hölder inequality and (1.3), we have

    BRuσ+q1dμ,=uσ+q1Lσ+q1uθ(σ+q1)Lp+q2(BR)u(1θ)(σ+q1)Lσ+p+q2(BR)uθ(σ+q1)Lp+q2(BR)[uσLσNp(BR)up+q2L(p+q2)NNp(BR)](1θ)(σ+q1)σ+p+q2uθ(σ+q1)Lp+q2(BR)u(1θ)σ(σ+q1)σ+p+q2LσNp(BR)(1Cs,p(up+q2p)Lp(BR))p(1θ)σ+q1σ+p+q2 (3.35)

    where θ:=(p1)(p+q2)σ(σ+q1). By plugging (3.34) and (3.35) into (3.32) we obtain

    1qddtu(t)qLq(BR)(q1)(pp+q2)pc1Cppup+q2Lp+q2(BR)(q1)(pp+q2)pc2Cpαpuα(p+q2)Lp+q2(BR)(up+q2p)ppαLp(BR)+˜Cuθ(σ+q1)Lp+q2(BR)u(1θ)σ(σ+q1)σ+p+q2LσNp(BR)(up+q2p)p(1θ)σ+q1σ+p+q2Lp(BR), (3.36)

    where

    ˜C=(1Cs,p)p(1θ)σ+q1σ+p+q2. (3.37)

    Let us now fix α(0,1) such that

    ppα=p(1θ)σ+q1σ+p+q2.

    Hence, we have

    α=p1σ. (3.38)

    By substituting (3.38) into (3.36) we obtain

    1qddtu(t)qLq(BR)(q1)(pp+q2)pc1Cppup+q2Lp+q2(BR)1˜C{(q1)(pp+q2)pCuσ(σ+q1)(p1)(p+q2)σ+p+q2LσNp(BR)}×uα(p+q2)Lp+q2(BR)(up+q2p)ppαLp(BR), (3.39)

    where C has been defined in Remark 2.8. Observe that, due to hypotheses (3.30) and by the continuity of the solution u(t), there exists t0>0 such that

    u(t)LσNp(BR)2˜ε1for anyt(0,t0].

    Hence, (3.39) becomes, for any t(0,t0]

    1qddtu(t)qLq(BR)(q1)(pp+q2)pc1Cppup+q2Lp+q2(BR)1˜C{(q1)(pp+q2)pC2˜εσ(σ+q1)(p1)(p+q2)σ+p+q21}uα(p+q2)Lp+q2(BR)(up+q2p)ppαLp(BR)0,

    provided ˜ε1 is small enough. Hence we have proved that u(t)Lq(BR) is decreasing in time for any t(0,t0], thus

    u(t)Lq(BR)u0Lq(BR)for anyt(0,t0]. (3.40)

    In particular, inequality (3.40) holds q=σNp. Hence we have

    u(t)LσNp(BR)u0LσNp(BR)<˜ε1for anyt(0,t0].

    Now, we can repeat the same argument in the time interval (t0,t1] with t1=2t0. This can be done due to the uniform continuity of the map tu(t) in [0,T]. Hence, we can write that

    u(t)LσNp(BR)2˜ε1for anyt(t0,t1].

    Thus we get

    u(t)Lq(BR)u0Lq(BR)for anyt(0,t1].

    Iterating this procedure we obtain the thesis.

    Using a Moser type iteration procedure we prove the following result:

    Proposition 3.6. Assume (1.2) and, besides, that p>2. Let M be such that (1.3) and (1.4) hold. Suppose that u0L(BR), u00. Let u be the solution of problem (3.2) in the sense of Definition 3.1 such that in addition uC([0,T],Lq(BR)) for any q(1,+), for any T>0. Let 1<q0q<+ and assume that

    u0LσNp(BR)<˜ε1 (3.41)

    for ˜ε1=˜ε1(σ,p,N,Cs,p,Cp,q,q0) sufficiently small. Then there exists C(p,q0,Cs,p,˜ε1,N,q)>0 such that

    u(t)Lq(BR)Ctγqu0δqLq0(BR)forallt>0, (3.42)

    where

    γq=q0p2(1q01q),δq=q0q. (3.43)

    Proof. Arguing as in the proof of Proposition 3.3, let {qm} be the sequence defined in (2.15). Let ¯m be the first index such that q¯mq. Observe that ˉm is well defined in view of the mentioned properties of {qm}, see (2.15). We start by proving a smoothing estimate from q0 to q¯m using again a Moser iteration technique. Afterwards, if q¯mq then the proof is complete. Otherwise, if q¯m>q then, by interpolation, we get the thesis.

    Let t>0, we define

    r=t2¯m1,tm=(2m1)r. (3.44)

    Observe that

    t0=0,t¯m=t,{tm} is an increasing sequence w.r.t.m.

    Now, for any 1m¯m, we multiply Eq (3.2) by uqm11 and integrate in BR×[tm1,tm]. Thus we get

    tmtm1BRutuqm11dμdτtmtm1BRdiv(|up2|u)uqm11dμdτ=tmtm1BRTk(uσ)uqm11dμdτ.

    Then we integrate by parts in BR×[tm1,tm], hence we get

    1qm1[u(,tm)qm1Lqm1(BR)u(,tm1)qm1Lqm1(BR)](qm11)(pp+qm12)ptmtm1BR|(up+qm12p)|pdμdτ+tmtm1BRuσuqm11dμdτ.

    where we have made use of inequality

    Tk(uσ)uσ.

    Now, by arguing as in the proof of Lemma 3.5, by using (3.33) and (3.34) with q=qm1, we get

    BR|(up+qm12p)|pdμc1Cppup+qm12Lp+qm12(BR)+c2Cpαpuα(p+qm12)Lp+qm12(BR)(up+qm12p)ppαLp(BR)

    where α(0,1) and c1>0, c2>0 with c1+c2=1. Similarly, from (3.35) with q=qm1 we can write

    BRuσuqm11dμ=uσ+qm11Lp+qm11(BR)uθ(σ+qm11)Lp+qm12(BR)u(1θ)σ(σ+qm11)σ+p+qm12LσNp(BR)×(1Cs,p(up+qm12p)Lp(BR))p(1θ)σ+qm11σ+p+qm12

    where θ:=(p1)(p+qm12)σ(σ+qm11). Now, due to assumption (3.30), the continuity of u, by choosing ˜C and α as in (3.37) and (3.38) respectively, we can argue as in the proof of Lemma 3.5 (see (3.39)), hence we obtain

    1qm1[u(,tm)qm1Lqm1(BR)u(,tm1)qm1Lqm1(BR)](qm11)(pp+qm12)pc1Cpptmtm1u(,τ)p+qm12Lp+qm12(BR)dτ1˜C{(qm11)(pp+qm12)pC2~ε1σ(σ+qm11)(p1)(p+qm12)σ+p+qm12}×tmtm1u(,τ)α(p+qm12)Lp+qm12(BR)(up+qm12p)(,τ)ppαLp(BR)dτ, (3.45)

    where C has been defined in Remark 2.8. Finally, provided ˜ε1 is small enough, (3.45) can be rewritten as

    1qm1[u(,tm)qm1Lqm1(BR)u(,tm1)qm1Lqm1(BR)](qm11)(pp+qm12)pc1Cpptmtm1u(,τ)p+qm12Lp+qm12(BR)dτ.

    We define qm as in (2.15), so that qm=p+qm12. Then, in view of hypothesis (3.41), we can apply Lemma 3.5 to the integral in the right-hand side of the latter, hence we get

    1qm1[u(,tm)qm1Lqm1(BR)u(,tm1)qm1Lqm1(BR)](qm11)(pp+qm12)pc1Cppu(,tm)qmLqm(BR)|tmtm1|. (3.46)

    Observe that

    u(,tm)qm1Lqm1(BR)0,|tmtm1|=2m1t2¯m1. (3.47)

    We define

    dm1:=(pp+qm12)p1c1Cpp1qm1(qm11). (3.48)

    By plugging (3.47) and (3.48) into (3.46), we get

    u(,tm)qmLqmρ(BR)2ˉm12m1tdm1u(,tm1)qm1Lqm1ρ(BR).

    The latter can be rewritten as

    u(,tm)Lqm(BR)(2ˉm12m1dm1)1qmt1qmu(,tm1)qm1qmLqm1(BR) (3.49)

    Observe that, for any 1mˉm, we have

    2ˉm12m1dm1=2ˉm12m1(pp+qm12)p1c1Cpp1qm1(qm11)2ˉm+11c1Cpp(p+qm12p)p1qm1(qm11). (3.50)

    Consider the function

    h(x):=(p+x2)px(x1),forq0xq¯m,xR.

    Observe that h(x)0 for any q0xq¯m. Moreover, h has a maximum in the interval q0xq¯m, call ˜x the point at which it is attained. Hence

    h(x)h(˜x)for anyq0xq¯m,xR. (3.51)

    Due to (3.50) and (3.51), we can say that there exists a positive constant C, where C=C(Cp,ˉm,p,q0), such that

    2¯m12m1dm1Cfor all1m¯m. (3.52)

    By using (3.52) and (3.49), we get, for any 1m¯m

    u(,tm)Lqm(BR)C1qmt1qmu(,tm1)qm1qmLqm1(BR). (3.53)

    Let us set

    Um:=u(,tm)Lqm(BR)

    Then (3.53) becomes

    UmC1qmt1qmUqm1qmn1C1qmt1qm[C1qm1t1qm1Uqm2qm1m2]...CmqmtmqmUq0qm0.

    We define

    αm:=mqm,δm:=q0qm. (3.54)

    Substituting m with ˉm into (3.54) and in view of (3.44), (3.53) with m=¯m, we have

    u(,t)Lq¯m(BR)Cα¯mtα¯mu0δ¯mLq0(BR).

    Observe that if q¯m=q then the thesis is proved and one has

    α¯m=1p2(1q0q),δ¯m=q0q.

    Now suppose that q<q¯m, then in particular q0qq¯m. By interpolation and Lemma 3.5 we get

    u(,t)Lq(BR)u(,t)θLq0(BR)u(,t)1θLq¯m(BR)u(,t)θLq0(BR)Cα¯m(1θ)tα¯m(1θ)u0δ¯m(1θ)Lq0(BR)Cα¯m(1θ)tα¯m(1θ)u0δ¯m(1θ)+θLq0(BR), (3.55)

    where

    θ=q0q(q¯mqq¯mq0). (3.56)

    Combining (3.43), (3.55) and (3.56), we get the claim by noticing that q was arbitrary fixed in [q0,+).

    In what follows, we will deal with solutions uR to problem (3.2) for arbitrary fixed R>0. For notational convenience, we will simply write u instead of uR since no confusion will occur in the present section. We define

    Gk(v):=vTk(v). (4.1)

    where Tk(v) has been defined in (3.1). Let a1>0, a2>0 and t>τ1>τ2>0. We consider, for any iN{0}, the sequences

    ki:=a2+(a1a2)2i;θi:=τ2+(τ1τ2)2i; (4.2)

    and the cylinders

    Ui:=BR×(θi,t). (4.3)

    Observe that the sequence {θi}iN is monotone decreasing w.r.t. i. Furthermore, we define, for any iN, the cut-off functions ξi(τ) such that

    ξi(τ):={1θi1<τ<t00<τ<θiand|(ξi)τ|2iτ1τ2. (4.4)

    Finally, we define

    S(t):=sup0<τ<t(τu(τ)σ1L(BR)). (4.5)

    We can now state the following

    Lemma 4.1. Let iN, ki, θi, Ui be defined in (4.2), (4.3) and R>0. Let u be a solution to problem (3.2). Then, for any q>1, we have thatX

    supτ1<τ<tBR[Gk0(u)]qdμ+Ui1|[Gki(u)]p+q2p|pdμdτ2iγC1Ui[Gki+1(u)]qdμdτ.

    where γ=γ(p,q) and

    C1:=1τ1τ2+S(t)τ12a1a1a2. (4.6)

    Proof. For any iN, we multiply both sides of the differential equation in problem (3.2) by [Gki(u)]q1ξi, q>1, and we integrate on the cylinder Ui, yielding:

    Uiuτ[Gki(u)]q1ξidμdτ=Uidiv(|u|p2u)[Gki(u)]q1ξidμdτ+UiTk(uσ)[Gki(u)]q1ξidμdτ. (4.7)

    We integrate by parts. Thus we write, due to (4.4),

    Uiuτ[Gki(u)]q1ξidμdτ=1qUiddτ[(Gki(u))q]ξidμdτ=1qUi[Gki(u)]q(ξi)τdμdτ+1qBR[Gki(u(x,t))]qdμ (4.8)

    Moreover,

    Uidiv(|u|p2u)[Gki(u)]q1ξidμdτ=Ui|u|p2u[Gki(u)]q1ξidμdτ(q1)Ui[Gki(u)]q2|[Gki(u)]|pξidμdτ. (4.9)

    Now, combining (4.7), (4.8) and (4.9), using the fact that T(uσ)uσ and (4.4), we can write

    1qBR[Gki(u(x,t))]qdμ+(q1)Ui[Gki(u)]q2|[Gki(u)]|pξidμdτ1qUi[Gki(u)]q(ξi)τdμdτ+Uiuσ[Gki(u)]q1ξidμdτ2iτ1τ2Ui[Gki(u)]qdμdτ+Uiuσ[Gki(u)]q1ξidμdτ. (4.10)

    Let us define

    ˜γ:=[min{1q,q1}]1,

    thus (4.10) reads

    BR[Gki(u(x,t))]qdμ+Ui[Gki(u)]q2|[Gki(u)]|pξidμdτ˜γ2iτ1τ2Ui[Gki(u)]qdμdτ+˜γUiuσ[Gki(u)]q1ξidμdτ. (4.11)

    Observe that the sequence {ki}iN is monotone decreasing, hence

    Gk0(u)Gki(u)Gki+1(u)ufor alliN.

    Thus (4.11) can be rewritten as

    BR[Gk0(u(x,t))]qdμ+Ui1[Gki(u)]q2|[Gki(u)]|pdμdτ2i˜γτ1τ2Ui[Gki+1(u)]qdμdτ+˜γUiuσ[Gki+1(u)]q1dμdτ. (4.12)

    Let us now define

    I:=˜γUiuσ1u[Gki+1(u)]q1dμdτ

    Observe that, for any iN,

    ukiχiuki+1kiki+1χi

    where χi is the characteristic function of Di:={(x,t)Ui:u(x,t)ki}. Then, by using (4.5), we get:

    I˜γtθi1ττu(τ)σ1L(BR)BRu[Gki+1(u)]q1dμdτ=˜γtθi1ττu(τ)σ1L(BR)BRkiuki[Gki+1(u)]q1dμdτ˜γkikiki+1S(t)tθi1τBR[Gki+1(u)]qdμdτ. (4.13)

    By substituting (4.13) into (4.12) we obtain

    supτ1<τ<tBR[Gk0(u(x,t))]qdμ+(pp+q2)pUi1|[Gki(u)]p+q2p|pdμdτ2i˜γτ1τ2Ui[Gki+1(u)]qdμdτ+ki˜γkiki+1S(t)θ0Ui[Gki+1(u)]qdμdτ.

    To proceed further, observe that

    kikiki+1=2i+1a2a1a2+2,andθ0τ1.

    Consequently, by choosing C1 as in (4.6), we get

    supτ1<τ<tBR[Gk0(u(x,t))]qdμ+(pp+q2)pUi1|[Gki(u)]p+q2p|pdμdτ2i˜γC1Ui[Gki+1(u)]qdμdτ.

    The thesis follows, letting

    γ:=[min{1;(pp+q2)p}]1˜γ. (4.14)

    Lemma 4.2. Assume (1.2), let 1<r<q and assume that (1.3) holds. Let ki, θi, Ui be defined in (4.2), (4.3) and R>0. Let u be a solution to problem (3.2). Then, for every iN and ε>0, we have

    supτ1<τ<tBR[Gk0(u)]qdμ+Ui1|[Gki(u)]p+q2p|pdμdτεUi|[Gki+1(u)]p+q2p|pdμdτ+C(ε)(2iγC1)N(p+q2r)+prN(p2)+pr(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+pr,

    with C1 and γ defined as in (4.6) and (4.14) respectively and for some C(ε)>0.

    Proof. Let us fix q>1 and 1<r<q. We define

    α:=rN(p2)+pqN(p+q2r)+pr. (4.15)

    Observe that, since 1<r<q, one has 0<α<q. By Hölder inequality with exponents pNNp(p+q2p(qα)) and N(p+q2)N(p+α2)+p(qα), we thus have:

    BR[Gki+1(u)]qdμ=BR[Gki+1(u)]qα[Gki+1(u)]αdμ(BR[Gki+1(u)](p+q2p)pNNpdμ)(p(qα)p+q2)NppN×(BR[Gki+1(u)]αN(p+q2)N(p+α2)+p(qα)dμ)N(p+α2)+p(qα)N(p+q2)([Gki+1(u)]p+q2pLp(BR))p(qα)p+q2×(BR[Gki+1(u)]αN(p+q2)N(p+α2)+p(qα)dμ)N(p+α2)+p(qα)N(p+q2). (4.16)

    By the definition of α in (4.15) and inequality (1.3), (4.16) becomes

    BR[Gki+1(u)]qdμ(1Cs,p[Gki+1(u)]p+q2pLp(BR))p(qα)p+q2(BR[Gki+1(u)]rdμ)αr. (4.17)

    We multiply both sides of (4.17) by 2iγC1 with C1 and γ as in (4.6) and (4.14), respectively. Then, we apply Young's inequality with exponents p+q2qα and p+q2p+α2 to get:

    2iγC1BR[Gki+1(u)]qdμεBR|[Gki+1(u)]p+q2p|pdμ+C(ε)(2iγC1)p+q2p+α2(BR[Gki+1(u)]rdμ)αrp+q2p+α2 (4.18)

    Define

    λ:=αr(p+q2p+α2)=N(p2)+pqN(p2)+pr.

    Observe that λ>1 since r<q. By Lemma 4.1,

    supτ1<τ<tBR[Gk0(u)]qdμ+Ui1|[Gki(u)]p+q2p|pdμdτ2iγC1tθiBR[Gki+1(u)]qdμdτ (4.19)

    Moreover, let us integrate inequality (4.18) in the time interval τ(θi,t). Then, we observe that

    C(ε)(2iγC1)p+q2p+α2tθi(BR[Gki+1(u)]rdμ)λdτC(ε)(2iγC1)p+q2p+α2(tτ2)(supτ2<τ<tBR[Gki+1(u)]rdμ)λ (4.20)

    where we have used that τ2<θi for every iN. Finally, we substitute (4.19) and (4.20) into (4.18), thus we get

    supτ1<τ<tBR[Gk0(u)]qdμ+Ui1|[Gki(u)]p+q2p|pdμdτεUi|[Gki+1(u)]p+q2p|pdμdτ+C(ε)(2iγC1)p+q2p+α2(tτ2)(supτ2<τ<tBR[Gki+1(u)]rdμ)λ

    The thesis follows by noticing that, for any iN

    Gki(u)Gki+1(u)Gk(u),

    and that

    p+q2p+α2=N(p+q2r)+prN(p2)+pr.

    Proposition 4.3. Assume that (1.2) and (1.3) holds. Let S(t) be defined as in (4.5). Let u be a solution to problem (3.2). Suppose that, for all t(0,T),

    S(t)1.

    Let r1, then there exists k=k(p,r) such that

    u(x,τ)L(BR×(t2,t))ktNN(p2)+pr[supt4<τ<tBRurdμ]pN(p2)+pr,

    for all t(0,T).

    Proof. Let us define, for any jN,

    Ji:=Ui|[Gki+1(u)]p+q2p|pdμdt, (4.21)

    where Gk, {ki}iN and Ui have been defined in (4.1), (4.2) and (4.3) respectively. Let us fix 1r<q and define

    β:=N(p+q2r)+prN(p2)+pr.

    By means of Lemma 4.2 and (4.21), we can write, for any iN{0}

    supτ1<τ<tBR[Gk0(u)]qdμ+J0εJ1+C(ε)(2γC1)β(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+prε{εJ2+C(ε)(22γC1)β(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+pr}+C(ε)(2γC1)β(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+prεiJi+i1j=0(2βε)j(2γC1)βC(ε)(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+pr. (4.22)

    Fix now ε>0 such that ε2β<12. Taking the limit as i+ in (4.22) we have:

    supτ1<τ<tBR[Gk0(u)]qdμ˜C(2γC1)β(tτ2)(supτ2<τ<tBR[Gk(u)]rdμ)N(p2)+pqN(p2)+pr. (4.23)

    Observe that, due to the definition of the sequence {ki}iN in (4.2), one has

    k0=a1,k=a2;Gk0(u)=Ga1(u),Gk(u)=Ga2(u).

    For nN{0}, consider, for some C0>0 to be fixed later, the following sequences

    tn=12t(12n1);hn=C0(12n1);¯hn=12(hn+hn+1). (4.24)

    Let us now set in (4.23):

    τ1=tn+1;τ2=tn;a1=¯hn;a2=hn. (4.25)

    Then the coefficient C1 defined in (4.6), by (4.24) and (4.25), satisfies, since for any t(0,T) one has S(t)1,

    2C1Cn2tfor someC2>1.

    Due to the latter bound and to (4.25), (4.23) reads

    suptn+1<τ<tBR[G¯hn(u)]qdμ˜CγCnβ2tβ+1(suptn<τ<tBR[Ghn(u)]rdμ)N(p2)+pqN(p2)+pr. (4.26)

    Furthermore, observe that

    BR[Ghn+1(u)]rdμ(hn+1¯hn)rqBR[G¯hn(u)]qdμ. (4.27)

    By combining together (4.26) and (4.27), we derive the following inequalities:

    suptn+1<τ<tBR[Ghn+1(u)]rdμ(hn+1¯hn)rqsuptn+1<τ<tBR[G¯hn(u)]qdμ˜CγCnβ2(hn+1hn2)rqtβ+1(suptn<τ<tBR[Ghn(u)]rdμ)N(p2)+pqN(p2)+pr. (4.28)

    Let us finally define

    Yn:=suptn<τ<tBR[Ghn(u)]rdμ.

    Hence, by using (4.24), (4.28) reads,

    Yn+1˜CγCnβ2(hn+1hn2)rqtβ+1YN(p2)+pqN(p2)+prn˜CγCnβ22(n+3)(qr)Crq0tβ+1YN(p2)+pqN(p2)+prnkn(qr)Crq0tβ+1YN(p2)+pqN(p2)+prn,

    for some k=k(p,r)>1. From [25,Chapter 2,Lemma 5.6] it follows that

    Yn0asn+, (4.29)

    provided

    Crq0tβ+1YN(p2)+pqN(p2)+pr10krq. (4.30)

    Now, (4.29), in turn, reads

    uL(BR×(t2,t))C0.

    Moreover, (4.30) is fulfilled since

    C0=ktβ+1qrY(N(p2)+pqN(p2)+pr1)(1qr)0ktNN(p2)+pr[supt4<τ<tBRurdμ]pN(p2)+pr.

    This concludes the proof.

    By Lemma 4.3, using the same arguments as in the proof of [27,Lemmata 4 and 5,and subsequent remarks], we get the following result.

    Lemma 5.1. Assume (1.2) and σ>p1+pN. Suppose that (1.3) and (2.2) hold. Let S(t) be defined as in (4.5). Define

    T:=sup{t>0:S(t)1}. (5.1)

    Then

    T=+.

    Proof of Theorem 2.2. Let {u0,h}h0 be a sequence of functions such that

    (a)u0,hL(M)Cc(M)for allh0,(b)u0,h0for allh0,(c)u0,h1u0,h2for any h1<h2,(d)u0,hu0inLs(M)L1(M)ash+,

    Observe that, due to assumptions (c) and (d), u0,h satisfies (2.2). For any R>0, k>0, h>0, consider the problem

    {ut=div(|u|p2u)+Tk(uσ)inBR×(0,+)u=0inBR×(0,)u=u0,hinBR×{0}. (5.2)

    From standard results it follows that problem (5.2) has a solution uRh,k in the sense of Definition 3.1. In addition, uRh,kC([0,T];Lq(BR)) for any q>1.

    (ⅰ) In view of Proposition 4.3 and Lemma 5.1, the solution uRh,k to problem (5.2) satisfies estimate (4.3) for any t(0,+), uniformly w.r.t. R, k and h. By standard arguments we can pass to the limit as R, k and h and we obtain a solution u to Eq (1.1) satisfying (2.3).

    (ⅱ) Due to Proposition 3.3, the solution uRh,k to problem (5.2) satisfies estimate (3.11) for any t(0,+), uniformly w.r.t. R, k and h. Thus, the solution u fulfills (2.5).

    (ⅲ) We now furthermore suppose that u0,hLq(M) and u0,hu0 in Lq(M). Due to Proposition 3.2, the solution uRh,k to problem (5.2) satisfies estimate (3.4) for any t(0,+), uniformly w.r.t. R, k and h. Thus, the solution u also fulfills (2.7).

    This completes the proof.

    To prove Theorem 2.4 we need the following two results.

    Lemma 6.1. Assume (1.2) and, moreover, that σ>p1+pN. Assume that inequality (1.3) holds. Let u be a solution of problem (3.2) with u0L(BR), u00, such that

    u0Lσ0(BR)ε2,

    for ε2=ε2(σ,p,N,Cs,p,σ0)>0 sufficiently small and σ0 as in (2.1). Let S(t) and T be defined as in (4.5) and (5.1) respectively. Then

    T=+.

    Proof. We suppose by contradiction that T<+. Then, by (5.1) and (4.5), we can write:

    1=S(T)=sup0<t<Ttu(t)σ1L(BR). (6.1)

    Due to Lemma 4.3 with the choice r=q>σ0, (6.1) reduces to

    1=S(T)sup0<t<Tt{ktNN(p2)+pq(supt4<τ<tBRuqdμ)pN(p2)+pq}(σ1)sup0<t<Tkt1N(σ1)N(p2)+pq(supt4<τ<tu(τ)qp(σ1)N(p2)+pqLq(BR)). (6.2)

    Define

    I1:=supt4<τ<tu(τ)pq(σ1)N(p2)+pqLq(BR). (6.3)

    In view of the choice q>σ0, we can apply Proposition 3.3 with q0=σ0 to (6.3), thus we get

    I1supt4<τ<t[Ctγqu0δqLq0(BR)]pq(σ1)N(p2)+pqCtγqpq(σ1)N(p2)+pqu0δqpq(σ1)N(p2)+pqLq0(BR), (6.4)

    where γq and δq are defined in (3.12). By substituting (6.4) into (6.2) we get

    1=S(T)Cksup0<t<Tt1N(σ1)N(p2)+pqγqpq(σ1)N(p2)+pqu0δqpq(σ1)N(p2)+pqLq0(BR).

    Observe that

    1N(σ1)N(p2)+pqγqpq(σ1)N(p2)+pq=0;δqpq(σ1)N(p2)+pq=σp+1>0;

    hence

    1=S(T)<C˜Cεσp+12.

    Provided ε2 is sufficiently small, a contradiction, i.e., 1=S(T)<1. Thus T=+.

    Proposition 6.2. Assume (1.2) and, moreover, that σ>p1+pN. Let u be the solution to problem (3.2) with u0L(BR), u00. Let σ0 be defined in (2.1) and q>σ0. Assume that

    u0Lσ0(BR)<ε2

    with ε2=ε2(σ,p,N,Cs,p,σ0)>0 sufficiently small. Then, for some C=C(N,σ,p,q,σ0)>0:

    u(t)L(BR)Ct1σ1u01p2σ1Lσ0(BR)foranyt(0,+). (6.5)

    Proof. Due to Lemma 6.1,

    S(t)1for allt(0,+).

    Therefore, by Lemma 4.3 and Proposition 3.3 with q0=σ0, for all t(0,+)

    u(t)L(BR)uL(BR×(t2,t))ktNN(p2)+pq[supt4<τ<tu(τ)qLq(BR)]pN(p2)+pqCtNN(p2)+pqγqpqN(p2)+pqu0δqpqN(p2)+pqLσ0(BR), (6.6)

    where C=C(σ,p,N,q,σ0)>0, γq and δq as in (3.12) with q0=σ0. Observe that

    NN(p2)+pqγqpqN(p2)+pq=1σ1, (6.7)

    and

    δqpqN(p2)+pq=σp+1σ1. (6.8)

    By combining (6.6) with (6.7) and (6.8) we get the thesis.

    Proof of Theorem 2.4. We use the same argument discussed in the proof of Theorem 2.2. In fact, let {u0,l}l0 be a sequence of functions such that

    (a)u0,lL(M)Cc(M)for alll0,(b)u0,l0for alll0,(c)u0,l1u0,l2for any l1<l2,(d)u0,lu0inLσ0(M)asl+,

    where σ0 has been defined in (2.1). Observe that, due to assumptions (c) and (d), u0,l satisfies (2.10). For any R>0, k>0, l>0, we consider problem (5.2) with the sequence u0,h replaced by the sequence u0,l. From standard results it follows that problem (5.2) has a solution uRl,k in the sense of Definition 3.1; moreover, uRl,kC([0,T];Lq(BR)) for any q>1.

    Due to Proposition 6.2, Proposition 3.3 and Lemma 3.2, the solution uRl,k to problem (5.2) satisfies estimates (6.5), (3.11) and (3.4) for t(0,+), uniformly w.r.t. R, k and l. Thus, by standard arguments we can pass to the limit as R, k and l and we obtain a solution u to Eq (1.1) satisfying (2.11), (2.5) and (2.7).

    Lemma 7.1. Assume (1.2), p>2, and q>max{σ0,1}. Let u be a solution to problem (3.2) with u0L(BR), u00, such that

    u0Lq(BR)δ1, (7.1)

    for δ1>0 sufficiently small. Let S(t) be as in (4.5), then

    T:=sup{t>0:S(t)1}>1. (7.2)

    Proof. By (4.5) and (7.2) one has

    1=S(T)=sup0<t<Ttu(t)σ1L(BR). (7.3)

    By Lemma (4.3) applied with r=q>max{Np(σp+1),1}, (7.3) gives

    1=S(T)sup0<t<Tt{ktNN(p2)+pq(supt4<τ<tBRuqdμ)pN(p2)+pq}(σ1)sup0<t<Tkt1N(σ1)N(p2)+pq(supt4<τ<tu(τ)qp(σ1)N(p2)+pqLq(BR)). (7.4)

    By applying Proposition 3.6 to (7.4) and due to (7.1), we get

    1=S(T)sup0<t<Tkt1N(σ1)N(p2)+pqu0qp(σ1)N(p2)+pqLq(BR)kT1N(σ1)N(p2)+pqδqp(σ1)N(p2)+pq1.

    The thesis follows for δ1>0 small enough.

    Lemma 7.2. Assume (1.2), p>2 and s>max{σ0,1}. Let u be a solution to problem (3.2) with u0L(BR), u00, such that

    u0Ls(BR)δ1,u0LσNp(BR)δ1, (7.5)

    for δ1>0 sufficiently small. Let S(t) be as in (4.5), then

    T:=sup{t0:S(t)1}=+. (7.6)

    Proof. We suppose by contradiction that

    T<+.

    Then, by (7.6), the definition of S(t) in (4.5) and by Lemma 7.1 we can write,

    1=S(T)=sup0<t<Ttu(t)σ1L(BR)sup0<t<1tu(t)σ1L(BR)+sup1<t<Ttu(t)σ1L(BR)=:J1+J2. (7.7)

    Now, by Lemma 4.3, applied with r=s, and Lemma 3.5 with q=s, we can write

    J1sup0<t<1t{ktNN(p2)+ps(supt4<τ<tBRusdμ)pN(p2)+ps}(σ1)sup0<t<1kt1N(σ1)N(p2)+psu0ps(σ1)N(p2)+psLs(BR). (7.8)

    On the other hand, for any q>s, by Lemma 4.3, applied with r=q, and Proposition 3.6 with q0=s, we get

    J2sup1<t<Tt{ktNN(p2)+pq(supt4<τ<tBRuqdμ)pN(p2)+pq}(σ1)sup1<t<Tkt1N(σ1)N(p2)+pqsupt4<τ<tu(τ)pq(σ1)N(p2)+pqLq(BR)sup1<t<Tkt1N(σ1)N(p2)+pqsupt4<τ<t(Ctsp2(1s1q)u0sqLs(BR))pq(σ1)N(p2)+pqsup1<t<TCk4t1N(σ1)N(p2)+pqspq(σ1)(p2)[N(p2)+pq](1s1q)u0ps(σ1)N(p2)+pqLs(BR). (7.9)

    By substituting (7.8) and (7.9) into (7.7) we get

    1=S(T)sup0<t<1ktau0ps(σ1)N(p2)+psLs(BR)+sup1<t<TCk4tbu0ps(σ1)N(p2)+pqLs(BR), (7.10)

    where we have set

    a=1N(σ1)N(p2)+ps,andb=1N(σ1)N(p2)+pqspq(σ1)(p2)[N(p2)+pq](1s1q).

    Now, observe that, since s>max{Np(σp+1),1} and q>s,

    a>0;andb<0.

    Hence, (7.10), due to assumption (7.5), reads

    1=S(T)<kδps(σ1)N(p2)+ps1+Ck4δps(σ1)N(p2)+pq1.

    Provided that δ1 is sufficiently small, thus yielding 1=S(T)<1, a contradiction. Thus T=+.

    Proposition 7.3. Assume (1.2), p>2 and s>max{σ0,1}. Let u be a solution to problem (3.2) with u0L(BR), u00, such that

    u0Ls(BR)ε1,u0LσNp(BR)ε1,

    with ε1=ε1(σ,p,N,Cs,p,Cp,s) sufficiently small. Then, for any t\in(0, +\infty) , for some \Gamma = \Gamma(\sigma, p, N, q, s, C_{s, p}, C_p) > 0

    \begin{equation} \|u(t)\|_{L^{\infty}(B_R)}\le \Gamma\, t^{-\frac{1}{p-2}\left(1-\frac{ps}{N(p-2)+pq}\right)}\,\|u_0\|_{L^{s}(B_R)}^{\frac{ps}{N(p-2)+pq}}\,. \end{equation} (7.11)

    Proof. Due to Lemma 7.2,

    S(t)\le 1\quad {\text{for all}}\,\,\,t\in(0,+\infty].

    Therefore, by Lemma 4.3 and Proposition 3.6 applied with q_0 = s , for any q > s , we get, for all t\in (0, +\infty)

    \begin{equation*} \begin{aligned} \|u(t)\|_{L^{\infty}(B_R)}&\le \|u\|_{L^{\infty}\left(B_R\times\left(\frac t2,t\right)\right)}\,\\ &\le\, k\,t^{-\frac{N}{N(p-2)+pq}}\;\left[\sup\limits_{\frac t4 < \tau < t}\|u(\tau)\|_{L^q(B_R)}^q\right]^{\frac{p}{N(p-2)+pq}}\\ &\le\,\Gamma\,t^{-\frac{N}{N(p-2)+pq}-\frac{s}{p-2}\left(\frac 1{s}-\frac 1q\right)\frac{pq}{N(p-2)+pq}}\;\|u_0\|_{L^{s}(B_R)}^{\frac{s}{q}\frac{pq}{N(p-2)+pq}}\,. \end{aligned} \end{equation*}

    Observing that

    \begin{equation*} -\frac{N}{N(p-2)+pq}-\frac{s}{p-2}\left(\frac 1{s}-\frac 1q\right)\frac{pq}{N(p-2)+pq} = -\frac 1{p-2}\left(1-\frac{ps}{N(p-2)+pq}\right)\,, \end{equation*}

    we get the thesis.

    Proof of Theorem 2.7. We proceed as in the proof of the previous Theorems. Let \{u_{0, h}\}_{h\ge 0} be a sequence of functions such that

    \begin{equation} \begin{aligned} &(a)\,\,u_{0,h}\in L^{\infty}(M)\cap C_c^{\infty}(M) \,\,\,{\text{for all}} \,\,h\ge 0, \\ &(b)\,\,u_{0,h}\ge 0 \,\,\,{\text{for all}} \,\,h\ge 0, \\ &(c)\,\,u_{0, h_1}\leq u_{0, h_2}\,\,\,{\text{for any }} h_1 < h_2, \\ &(d)\,\,u_{0,h}\longrightarrow u_0 \,\,\, {\text{in}}\,\, L^{s}(M)\quad {\rm{ as }}\, h\to +\infty\,.\\ \end{aligned} \end{equation} (7.12)

    From standard results it follows that problem (5.2) has a solution u_{h, k}^R in the sense of Definition 3.1 with u_{0, h} as in (7.12); moreover, u^R_{h, k}\in C\big([0, \infty); L^q(B_R)\big) for any q > 1 . Due to Proposition 7.3, 3.6 and Lemmata 3.5 and 7.2, the solution u_{h, k}^R to problem (5.2) satisfies estimates (3.31), (3.42) and (7.11) for any t\in(0, +\infty) , uniformly w.r.t. R , k and h . Thus, by standard arguments, we can pass to the limit as R\to+\infty , k\to+\infty and h\to+\infty and we obtain a solution u to problem (1.1), which fulfills (2.12), (2.13) and (2.14).

    We now consider the following nonlinear reaction-diffusion problem:

    \begin{equation} \begin{cases} \, u_t = \Delta u^m +\, u^{\sigma} & {\text{in}}\,\, M\times (0,T) \\ \,\; u = u_0 &{\text{in}}\,\, M\times \{0\}\,, \end{cases} \end{equation} (8.1)

    where M is an N- dimensional complete noncompact Riemannian manifold of infinite volume, \Delta being the Laplace-Beltrami operator on M and T\in (0, \infty] . We shall assume throughout this section that

    N\geq 3,\quad \quad m\, > \,1,\quad \quad \sigma\, > \,m,

    so that we are concerned with the case of degenerate diffusions of porous medium type (see [37]), and that the initial datum u_0 is nonnegative. Let L ^q(M) be the space of those measurable functions f such that |f|^q is integrable w.r.t. the Riemannian measure \mu . We shall always assume that M supports the Sobolev inequality, namely that:

    \begin{equation} ( {\rm{Sobolev\ inequality)}}\ \ \ \ \ \ \|v\|_{L^{2^*}(M)} \le \frac{1}{C_s} \|\nabla v\|_{L^2(M)}\quad {\text{for any}}\,\,\, v\in C_c^{\infty}(M), \end{equation} (8.2)

    where C_s is a positive constant and 2^*: = \frac{2N}{N-2} . In one of our main results, we shall also suppose that M supports the Poincaré inequality, namely that:

    \begin{equation} ( {\rm{Poincaré\ inequality)}}\ \ \ \ \ \|v\|_{L^2(M)} \le \frac{1}{C_p} \|\nabla v\|_{L^2(M)} \quad {\text{for any}}\,\,\, v\in C_c^{\infty}(M), \end{equation} (8.3)

    for some C_p > 0 .

    Solutions to (8.1) will be meant in the very weak, or distributional, sense, according to the following definition.

    Definition 8.1. Let M be a complete noncompact Riemannian manifold of infinite volume, of dimension N\ge3 . Let m > 1 , \sigma > m and u_0\in{ \rm L}^{1}_{loc}(M) , u_0\ge0 . We say that the function u is a solution to problem (8.1) in the time interval [0, T) if

    u\in L^{\sigma}_{loc}(M\times(0,T))

    and for any \varphi \in C_c^{\infty}(M\times[0, T]) such that \varphi(x, T) = 0 for any x\in M , u satisfies the equality:

    \begin{equation*} \begin{aligned} -\int_0^T\int_{M} \,u\,\varphi_t\,d\mu\,dt = &\int_0^T\int_{M} u^m\,\Delta\varphi\,d\mu\,dt\,+ \int_0^T\int_{M} \,u^{\sigma}\,\varphi\,d\mu\,dt \\ & +\int_{M} \,u_0(x)\,\varphi(x,0)\,d\mu. \end{aligned} \end{equation*}

    First we consider the case that \sigma > m+\frac 2 N and the Sobolev inequality holds on M . In order to state our results we define

    \begin{equation} \sigma_1: = (\sigma-m)\frac{N}{2}. \end{equation} (8.4)

    Observe that \sigma_1 > 1 whenever \sigma > m+\frac 2N . We comment that the next results improve and in part correct some of the results of [17]. The proofs are omitted since they are identical to the previous ones.

    Theorem 8.2. Let M be a complete, noncompact, Riemannian manifold of infinite volume and of dimension N\ge3 , such that the Sobolev inequality (8.2) holds. Let m > 1 , \sigma > m+\frac{2}{N} , s > \sigma_1 and u_0\in{ \rm L}^{s}(M)\cap L^1(M) , u_0\ge0 .

    (ⅰ) Assume that

    \begin{equation*} \label{a0} \|u_0\|_{ \rm L^{s}(M)}\, < \,\varepsilon_0,\quad \|u_0\|_{ \rm L^{1}(M)} < \,\varepsilon_0\,, \end{equation*}

    with \varepsilon_0 = \varepsilon_0(\sigma, m, N, C_{s}) > 0 sufficiently small. Then problem (8.1) admits a solution for any T > 0 , in the sense of Definition 8.1. Moreover, for any \tau > 0, one has u\in L^{\infty}(M\times(\tau, +\infty)) and there exists a constant \Gamma > 0 such that, one has

    \begin{equation*} \label{aeq21tot} \|u(t)\|_{L^{\infty}(M)}\le \Gamma\, t^{-\alpha}\,\|u_0\|_{L^{1}(M)}^{\frac{2}{N(m-1)+2}}\,\quad\mathit{{\text{for all $t > 0$,}}} \end{equation*}

    where

    \alpha: = \frac{N}{N(m-1)+2}\,.

    (ⅱ) Let \sigma_1\le q < \infty and

    \begin{equation*} \label{a2} \|u_0\|_{L^{\sigma_1}(M)} < \hat \varepsilon_0 \end{equation*}

    for \hat\varepsilon_0 = \hat\varepsilon_0(\sigma, m, N, C_s, q) > 0 small enough. Then there exists a constant C = C(m, \sigma, N, \varepsilon_0, C_s, q) > 0 such that

    \begin{equation*} \label{a3} \|u(t)\|_{L^q(M)}\le C\,t^{-\gamma_q} \|u_{0}\|^{\delta_q}_{L^{\sigma_1}(M)}\quad for\; all\,\, t > 0\,, \end{equation*}

    where

    \gamma_q = \frac{1}{\sigma-1}\left[1-\frac{N(\sigma-m)}{2q}\right],\quad \delta_q = \frac{\sigma-m}{\sigma-1}\left[1+\frac{N(m-1)}{2q}\right]\,.

    (ⅲ) Finally, for any 1 < q < \infty , if u_0\in { \rm L}^q(M)\cap \rm L^{\sigma_1}(M) and

    \begin{equation*} \label{a5} \|u_0\|_{ \rm L^{\sigma_1}(M)}\, < \,\varepsilon \end{equation*}

    with \varepsilon = \varepsilon(\sigma, m, N, r, C_s, q) > 0 sufficiently small, then

    \begin{equation*} \label{a6} \|u(t)\|_{L^q(M)}\le \|u_{0}\|_{L^q(M)}\quad for\; all\,\, t > 0\,. \end{equation*}

    Theorem 8.3. Let M be a complete, noncompact manifold of infinite volume and of dimension N\ge3 , such that the Sobolev inequality (8.2) holds. Let m > 1 , \sigma > m+\frac{2}{N} and u_0\in{ \rm L}^{\sigma_1}(M) , u_0\ge0 where \sigma_1 has been defined in (8.4). Assume that

    \begin{equation*} \label{a1} \|u_0\|_{ \rm L^{\sigma_1}(M)}\, < \,\varepsilon_0 \end{equation*}

    with \varepsilon_0 = \varepsilon_0(\sigma, m, N, r, C_s) > 0 sufficiently small. Then problem (8.1) admits a solution for any T > 0 , in the sense of Definition 8.1. Moreover, for any \tau > 0, one has u\in L^{\infty}(M\times(\tau, +\infty)) and there exists a constant \Gamma > 0 such that, one has

    \begin{equation*} \|u(t)\|_{L^{\infty}(M)}\le \Gamma\, t^{-\frac1{\sigma-1}}\|u_0\|_{L^{\sigma_1}(M)}^{\frac{\sigma-m}{\sigma-1}}\quad \mathit{{\text{for all $t > 0$.}}} \end{equation*}

    Moreover, the statements in (ⅱ) and (ⅲ) of Theorem 8.2 hold.

    In the next theorem, we address the case that \sigma > m , supposing that both the inequalities (8.2) and (8.3) hold on M .

    Theorem 8.4. Let M be a complete, noncompact manifold of infinite volume and of dimension N\ge3 , such that the Sobolev inequality (8.2) and the Poincaré inequality (8.3) hold. Let

    m > 1,\quad \sigma > m,

    and u_0\in{ \rm L}^{s}(M)\cap { \rm L}^{\sigma\frac N2}(M) where s > \max\left\{1, \sigma_1\right\} , u_0\ge0 . Assume that

    \begin{equation*} \label{a7} \left\| u_0\right\|_{L^{s}(M)}\, < \,\varepsilon_1, \quad \left\| u_0\right\|_{L^{\sigma\frac N2}(M)}\, < \,\varepsilon_1, \end{equation*}

    holds with \varepsilon_1 = \varepsilon_1(m, \sigma, N, r, C_p, C_s) > 0 sufficiently small. Then problem (8.1) admits a solution for any T > 0 , in the sense of Definition 8.1. Moreover for any \tau > 0 and for any q > s one has u\in L^{\infty}(M\times(\tau, +\infty)) and for all t > 0 one has

    \begin{equation*} \label{a8} \|u(t)\|_{L^{\infty}(B_R)}\le \Gamma\, t^{-\beta_{q,s}}\,\|u_0\|_{L^{s}(B_R)}^{\frac{2s}{N(m-1)+2q}}\,, \end{equation*}

    where

    \begin{equation*} \label{a9} \beta_{q,s}: = \frac{1}{m-1}\left(1-\frac{2s}{N(m-1)+2q}\right) > 0\,. \end{equation*}

    Moreover, let s\le q < \infty and

    \begin{equation*} \label{a10} \|u_0\|_{L^{s}(M)} < \hat\varepsilon_1, \end{equation*}

    for some \hat\varepsilon_1 = \hat \varepsilon_1(\sigma, m, N, r, C_p, C_s, q, s) > 0 sufficiently small. Then there exists a constant C = C(\sigma, m, N, \varepsilon_1, C_s, C_p, q, s) > 0 such that

    \begin{equation*} \label{a11} \|u(t)\|_{L^q(M)}\le Ct^{-\gamma_q} \|u_{0}\|_{L^s(M)}^{\delta_q}\quad for\; all \,\, t > 0\,, \end{equation*}

    where

    \gamma_q: = \frac{s}{m-1}\left[\frac 1s-\frac 1q\right],\quad\quad \delta_q: = \frac sq.

    Finally, for any 1 < q < \infty , if u_0\in L^q(M)\cap L^s(M)\cap { \rm L}^{\sigma\frac N2}(M) and

    \begin{equation*} \|u_0\|_{L^{s}(M)} < \varepsilon, \end{equation*}

    for some \varepsilon = \varepsilon(\sigma, m, N, C_p, C_s, q) > 0 sufficiently small, then

    \begin{equation*} \label{a12} \|u(t)\|_{L^q(M)}\le \|u_{0}\|_{L^q(M)}\quad for\; all\,\, t > 0\,. \end{equation*}

    The authors are members of the Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA, Italy) of the Istituto Nazionale di Alta Matematica (INdAM, Italy) and are partially supported by the PRIN project 201758MTR2: "Direct and Inverse Problems for Partial Differential Equations: Theoretical Aspects and Applications" (Italy).

    The authors declare no conflict of interest.



    [1] T. Okada, S. Sasaki, T. Sugihara, K. Saiki, H. Akiyama, M. Ohtake, et al., Lander and rover exploration on the lunar surface: A study for SELENE-B mission, Adv. Space Res., 37 (2006), 88-92. doi: 10.1016/j.asr.2005.05.097
    [2] R. J. Williams, E. K. Gibson, The origin and stability of lunar goethite, hematite and magnetite, Earth Planet. Sci. Lett., 17 (1972), 84-88. doi: 10.1016/0012-821X(72)90261-0
    [3] T. E. Ford, C. Eng, A. F. R. Ae. S, The Apollo lunar module: a description of the construction of the lunar module used to make the first manned landing of a space vehicle on another planet, Aircraft Eng. Aerosp. Technol., 41 (1969), 26-28.
    [4] R. Parkinson, The use of system models in the Euro Moon spacecraft design, Acta Astronaut., 44 (1999), 437-443. doi: 10.1016/S0094-5765(99)00088-0
    [5] M. Benton, B. Donahue, D. Bienhoff, G. Caplin, D. Smith, K. Reiley, Configuration Options to Maximize Lunar Surface Reuse of Altair Lander Structure and Systems, AIAA SPACE 2009 Conference & Exposition, 2006.
    [6] M. A. Siegler, S. E. Smrekar, M. Grott, S. Piqueux, N. Mueller, J. Pierre, et al., The InSight Mars Lander and Its Effect on the Subsurface Thermal Environment, Space Sci. Rev., 211 (2017), 1-17. doi: 10.1007/s11214-017-0414-0
    [7] P. J. Ye, Z. Z. Sun, H. Zhang, F. Li, An overview of the mission and technical characteristics of change'4 lunar probe, Sci. China Technol. Sci., 60 (2017), 658-667. doi: 10.1007/s11431-016-9034-6
    [8] K. Iagnemma, H. Shibly, A. Rzepniewski, S. Dubowsky, P. Territories, Planning and Control Algorithms for Enhanced Rough-Terrain Rover Mobility, International Symposium on Artificial Intelligence, Robotics, and Automation in Space, 2001.
    [9] R. Lindemann, D. B. Bickler, B. D. Harrington, G. M. Ortiz, C. J. Voothees, Mars exploration rover mobility development-mechanical mobility hardware design, development, and testing, IEEE Rob. Autom. Mag., 13 (2006), 19-26. doi: 10.1109/MRA.2006.1638012
    [10] C. K. Liu, B. F. Wang, J. Wang, G. S. Tang, W. J. Wan, Y. L. Bu, Integrated INS and vision based orientation determination and positioning of CE-3 lunar rover, J. Spacecr. TT & C Technol., 33 (2014), 250-257.
    [11] F. Cordes, F. Kirchner, A. Babu, Design and field testing of a rover with an actively articulated suspension system in a Mars analogy terrain, J. Field Robo., 35 (2018), 1149-1181. doi: 10.1002/rob.21808
    [12] L. Liang, Z. Zhang, L. Guo, C. Yang, Y. Zeng, M. Li, et al., Mobile Lunar Lander Crewed Lunar Exploration Missions, Man. Spaceflight, 21 (2015), 472-478.
    [13] R. Zhu, Advances in the Soviet/Russian EVA Spacesuit Technology, Man. Spaceflight, 1 (2009), 25-45.
    [14] B. Birckenstaedt, J. Hopkins, B. Kutter, F. Zegler, T. Mosher, Lunar Lander Configurations Incorporating Accessibility, Mobility, and Centaur Cryogenic Propulsion Experience, Space, 2006 (2006), 1-12.
    [15] Q. Liang, D. Zhang, Y. Wang, G. Coppola, Y. Ge, PM based multi-component F/T sensors-State of the art and trends, Robot, Robo. Comput. Integr. Manuf., 29 (2013), 1-7.
    [16] T. Hashimoto, T. Hoshino, S. Tanaka, M. Otsuki, H. Otake, H. Morimoto, Japanese moon lander SELENE2-Present status in 2009, Acta Astronaut., 68 (2011), 1386-1391. doi: 10.1016/j.actaastro.2010.08.027
    [17] F. Pierrot, C. Reynaud, A. Fournier, DELTA: a simple and efficient parallel robot, Robotica, 8 (1990), 105-109. doi: 10.1017/S0263574700007669
    [18] V. Poppeová, V. Bulej, P. Šindler, Development of simulation software and control system for mechanism with hybrid kinematic structure, ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics), 2010.
    [19] G. Zhong, H. Deng, G. Xin, H. Wang, Dynamic hybrid control of a hexapod walking robot experimental verification, IEEE Trans. Ind. Electron., 63 (2016), 5001-5011.
    [20] P. Yang, F. Gao, Leg kinematic analysis and prototype experiments of walking-operating multifunctional hexapod robot, Proc. Inst. Mech. Eng. Part C, 228 (2014), 2217-2232. doi: 10.1177/0954406213516087
    [21] M. Dirik, A. F Kocamaz, O. Castillo, Global Path Planning and Path-Following for Wheeled Mobile Robot Using a Novel Control Structure Based on a Vision Sensor, Int. J. Fuzzy Syst., 22 (2020), 1880-1890. doi: 10.1007/s40815-020-00888-9
    [22] M. Dirik, O. Castillo, A. F. Kocamaz, Visual-Servoing Based Global Path Planning Using Interval Type-2 Fuzzy Logic Control, Axioms, 58 (2019), 1-16.
    [23] U. Orozco-Rosas, K. Picos, O. Montiel, Hybrid path planning algorithm based on membrane pseudo-bacterial potential field for autonomous mobile robots, IEEE Access, 7 (2019), 156787-156803. doi: 10.1109/ACCESS.2019.2949835
    [24] O. Montiel, U. Orozco-Rosas, R. Sepúlveda, Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles, Expert Syst. Appl., 42 (2015), 5177-5191. doi: 10.1016/j.eswa.2015.02.033
    [25] O. Montiel-Ross, R. Sepúlveda, O. Castillo, P. Melin, Ant colony test center for planning autonomous mobile robot navigation, Comput. Appl. Eng. Educ., 21 (2013), 214-229. doi: 10.1002/cae.20463
    [26] M. A. Porta Garcia, O. Montiel, O. Castillo, R. Sepúlveda, P. Melin, Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation, Appl. Soft Comput., 9 (2009), 1102-1110. doi: 10.1016/j.asoc.2009.02.014
    [27] Y. Pan, F. Gao, A new six-parallel-legged walking robot for drilling holes on the fuselage, Proc. Inst. Mech. Eng., Part C, 228 (2014), 753-764. doi: 10.1177/0954406213489068
    [28] J. T. Yen, Y. H. Chang, Rate-dependent control strategies stabilize limb forces during human locomotion, J. R. Soc. Interface, 7 (2010), 801-810. doi: 10.1098/rsif.2009.0296
    [29] S. K. Banala, S. K. Agrawal, S. H. Kim, J. P. Scholz, Novel gait adaptation and neuromotor training results using an active leg exoskeleton, IEEE-ASME Trans. Mechatron., 15 (2010), 216-225. doi: 10.1109/TMECH.2010.2041245
    [30] F. T. Cheng, H. L. Lee, D. E. Orin, Increasing the locomotive stability margin of multilegged vehicles, Proceedings 1999 IEEE International Conference on Robotics and Automation, 1999.
    [31] D. Pongas, M. Mistry, S. Schaal, A robust quadruped walking gait for traversing rough terrain, Proceedings 2007 IEEE International Conference on Robotics and Automation, 2007.
    [32] S. Zhang, X. Rong, Y. Li, B. Li, A composite cog trajectory planning method for the quadruped robot walking on rough terrain, Int. J. Control Autom., 8 (2015), 101-118. doi: 10.14257/ijca.2015.8.9.11
    [33] H. Liu, X. Lai, W. Wu, Time-optimal and jerk-continuous trajectory planning for robot manipulators with kinematic constraints, Robo. Comput. Integr. Manuf., 29 (2013), 309-317. doi: 10.1016/j.rcim.2012.08.002
    [34] H. Xu, X. Xie, J. Zhuang, S. Wang, Global Time-energy Optimal Planning of Industrial Robot Trajectories, J. Mech. Eng., 46 (2010), 19-25.
    [35] F. Liu, L. Fei, Time-jerk optimal planning of industrial robot trajectories, Int. J. Robo. Autom., 31 (2016), 1-7.
    [36] S. F. P. Saramago, V. Steffen Jr, Optimization of the Trajectory Planning of Robot Manipulators Taking into Account the Dynamics of the System, Mech. Mach. Theory, 33 (1998), 883-894. doi: 10.1016/S0094-114X(97)00110-9
    [37] S. Wen, Z. Ma, S. Wen, Y. Zhao, J. Yao, The study of NAO robot arm based on direct kinematics by using D-H method, 2014 UKACC International Conference on Control (CONTROL), 2014.
    [38] Y. Guan, K. Yokoi, Reachable Space Generation of A Humanoid Robot Using The Monte Carlo Method, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.
    [39] F. Liu, F. Lin, Time-jerk optimal planning of industrial robot trajectories, Int. J Robo. Autom., 31, (2016), 1-7.
    [40] J. L. Martínez, J. González, J. Morales, A. Mandow, A. J. García-Cerezo, Mobile robot motion estimation by 2D scan matching with genetic and iterative closest point algorithms, J. Field Robo., 23 (2010), 21-34.
  • This article has been cited by:

    1. Stefano Biagi, Fabio Punzo, Eugenio Vecchi, Global solutions to semilinear parabolic equations driven by mixed local–nonlocal operators, 2024, 0024-6093, 10.1112/blms.13196
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4010) PDF downloads(226) Cited by(6)

Figures and Tables

Figures(12)  /  Tables(6)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog