To address the limited resources of mobile devices and embedded platforms, we propose a lightweight pose recognition network named HR-LiteNet. Built upon a high-resolution architecture, the network incorporates depthwise separable convolutions, Ghost modules, and the Convolutional Block Attention Module to construct L_block and L_basic modules, aiming to reduce network parameters and computational complexity while maintaining high accuracy. Experimental results demonstrate that on the MPII validation dataset, HR-LiteNet achieves an accuracy of 83.643% while reducing the parameter count by approximately 26.58 M and lowering computational complexity by 8.04 GFLOPs compared to the HRNet network. Moreover, HR-LiteNet outperforms other lightweight models in terms of parameter count and computational requirements while maintaining high accuracy. This design provides a novel solution for pose recognition in resource-constrained environments, striking a balance between accuracy and lightweight demands.
Citation: Zhiming Cai, Liping Zhuang, Jin Chen, Jinhua Jiang. Lightweight high-performance pose recognition network: HR-LiteNet[J]. Electronic Research Archive, 2024, 32(2): 1145-1159. doi: 10.3934/era.2024055
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To address the limited resources of mobile devices and embedded platforms, we propose a lightweight pose recognition network named HR-LiteNet. Built upon a high-resolution architecture, the network incorporates depthwise separable convolutions, Ghost modules, and the Convolutional Block Attention Module to construct L_block and L_basic modules, aiming to reduce network parameters and computational complexity while maintaining high accuracy. Experimental results demonstrate that on the MPII validation dataset, HR-LiteNet achieves an accuracy of 83.643% while reducing the parameter count by approximately 26.58 M and lowering computational complexity by 8.04 GFLOPs compared to the HRNet network. Moreover, HR-LiteNet outperforms other lightweight models in terms of parameter count and computational requirements while maintaining high accuracy. This design provides a novel solution for pose recognition in resource-constrained environments, striking a balance between accuracy and lightweight demands.
We investigate existence of nonnegative global in time solutions to the quasilinear parabolic problem
{ut=div(|∇u|p−2∇u)+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>p−1. | (1.2) |
The problem is posed in the Lebesgue spaces
Lq(M)={v:M→Rmeasurable,‖v‖Lq:=(∫Mvqdμ)1/q<+∞}, |
where μ is the Riemannian measure on M. We also assume the validity of the Sobolev inequality:
(Sobolev inequality)‖v‖Lp∗(M)≤1Cs,p‖∇v‖Lp(M)for anyv∈C∞c(M), | (1.3) |
where Cs,p>0 is a constant and p∗:=pNN−p. In some cases we also assume that the Poincaré inequality is valid, that is
(Poincaré inequality)‖v‖Lp(M)≤1Cp‖∇v‖Lp(M)for anyv∈C∞c(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,p−1}<σ≤p−1+pN. |
Similar weighted problems have also been treated. In fact, for any strictly positive measurable function ρ:RN→R, let us consider the weighted Lqρ spaces
Lqρ(RN)={v:RN→Rmeasurable,‖v‖Lqρ:=(∫RNvqρ(x)dx)1/q<+∞}. |
In [27] problem
{ρ(x)ut=div(|∇u|p−2∇u)+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, 0≤l<p, σ>p−1+pN, u0∈L1ρ(RN)∩Lsρ(RN) is sufficiently small, with s>(N−l)(σ−p+1)p−l, then problem (1.5) admits a global in time solution. Moreover, the solution satisfies a smoothing estimate L1ρ−L∞, in the sense that for sufficiently small data u0∈L1ρ(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, l≥p, σ>p−1, u0∈L1ρ(RN)∩Lsρ(RN) is sufficiently small, with s>Np(σ−p+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 x∈M 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 x∈M. 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>p−1+pN.
(a) If u0∈Ls(M)∩L1(M) is sufficiently small, with s>(σ−p+1)Np, then a global solution exists. Furthermore, a smoothing estimate of the type L1−L∞ holds (see Theorem 2.2).
(b) If u0∈L(σ−p+1)Np(M) is sufficiently small, then a global solution exists. Furthermore, a smoothing estimate of the type L(σ−p+1)Np−L∞ 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(σ−p+1)Np−Lq smoothing estimate, for any (σ−p+1)Np≤q<+∞ and an Lq−Lq 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 u0∈Ls(M)∩LσNp(M) is sufficiently small, with s>max{(σ−p+1)Np,1}, then a global solution exists. Furthermore, a smoothing estimate of the type Ls−L∞ holds (see Theorem 2.7).
(e) In addition, we establish and LσNp−Lq estimate, for any σNp≤q<+∞ and an Lq−Lq 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 Lq0−Lq and Lq−Lq 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>p−1 and u0∈L1loc(M), u0≥0. We say that the function u is a weak solution to problem (1.1) in the time interval [0,T) if
u∈L2((0,T);W1,ploc(M))∩Lσloc(M×(0,T)) |
and for any φ∈C∞c(M×[0,T]) such that φ(x,T)=0 for any x∈M, u satisfies the equality:
−∫T0∫Muφtdμdt=−∫T0∫M|∇u|p−2⟨∇u,∇φ⟩dμdt+∫T0∫Muσφdμdt+∫Mu0(x)φ(x,0)dμ. |
First we consider the case that σ>p−1+pN and that the Sobolev inequality holds on M. In order to state our results, we define
σ0:=(σ−p+1)Np. | (2.1) |
Observe that σ0>1 whenever σ>p−1+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>p−1+pN, s>σ0 and u0∈Ls(M)∩L1(M), u0≥0 where σ0 has been defined in (2.1).
(ⅰ) Assume that
‖u0‖Ls(M)<ε0,‖u0‖L1(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 u∈L∞(M×(τ,+∞)) and there exists a constant Γ>0 such that, one has
‖u(t)‖L∞(M)≤Γt−α‖u0‖pN(p−2)+pL1(M)for all t > 0 , | (2.3) |
where
α:=NN(p−2)+p. |
(ⅱ) Let σ0≤q<∞. If
‖u0‖Lσ0(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)≤Ct−γq‖u0‖δqLσ0(M)forallt>0, | (2.5) |
where
γq=1σ−1[1−N(σ−p+1)pq],δq=σ−p+1σ−1[1+N(p−2)pq]. |
(ⅲ) Finally, for any 1<q<∞, if u0∈Lq(M)∩Lσ0(M) and
‖u0‖Lσ0(M)<ε | (2.6) |
with ε=ε(σ,p,N,Cs,p,q)>0 sufficiently small, then
‖u(t)‖Lq(M)≤‖u0‖Lq(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}n∈N be the sequence defined by:
qn=NN−p(p+qn−1−2),for alln∈N, |
so that
qn=(NN−p)nq0+NN−p(p−2)n−1∑i=0(NN−p)i. | (2.8) |
Clearly, {qn} is increasing and qn⟶+∞ as n→+∞. Fix q∈[q0,+∞) and let ˉn be the first index such that qˉn≥q. Define
˜ε0=˜ε0(σ,p,N,Cs,p,q,q0):=[min{minn=0,...,ˉn(p(qn−1)1/pp+qn−2)p;(p(σ0−1)1/pp−σ0−2)p}Cps,p2]1σ−p+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(qn−1)(pp+qn−2)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=ˉε0∧ˆε0, |
where
ˉε0=ˉε0(σ,p,Cs,p,q):=[min{(p(q−1)1/pp+q−2)pCps,p;(p(σ0−1)1/pp−σ0−2)pCps,p}]1σ−p+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>p−1+pN and u0∈Lσ0(M), u0≥0, with σ0 as in (2.1). Assume that
‖u0‖Lσ0(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 u∈L∞(M×(τ,+∞)) and for any σ>σ0, there exists a constant Γ>0 such that, one has
‖u(t)‖L∞(M)≤Γt−1σ−1‖u0‖σ−p+1σ−1Lσ0(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)1σ−p+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>p−1+pN, one has
1σ−1<NN(p−2)+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 u0∈L∞(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>p−1, 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 u0≥0 be such that u0∈Ls(M)∩LσNp(M), for some s>max{σ0,1} and q0>1. Assume also that
‖u0‖Ls(M)<ε1,‖u0‖LσNp(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 u∈L∞(M×(τ,+∞)) and, for any q>s, there exists a constant Γ>0 such that, one has
‖u(t)‖L∞(BR)≤Γt−βq,s‖u0‖psN(p−2)+pqLs(BR)forallt>0, | (2.12) |
where
βq,s:=1p−2(1−psN(p−2)+pq)>0. |
Moreover, let s≤q<∞ and
‖u0‖Ls(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)≤Ct−γq‖u0‖δqLs(M)forallt>0, | (2.13) |
where
γq=sp−2[1s−1q],δq=sq. |
Finally, for any 1<q<∞, if u0∈Lq(M)∩Ls(M) and
‖u0‖Ls(M)<ε |
with ε=ε(σ,p,N,Cs,p,Cp,q) sufficiently small, then
‖u(t)‖Lq(M)≤‖u0‖Lq(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}m∈N be the sequence defined by:
qm=p+qm−1−2,forallm∈N, |
so that
qm=q0+m(p−2). | (2.15) |
Clearly, {qm} is increasing and qm⟶+∞ as m→+∞. Fix q∈[q0,+∞) and let ˉm be the first index such that qˉm≥q. Define ˜ε1=˜ε1(σ,p,N,Cs,p,Cp,q,q0) such that
˜ε1:=min{[minm=0,...,ˉm(p(qm−1)1/pp+qm−2)pC]σ+p+qm−2σ(σ+qm−1)−p(p+qm−2);[(p(σNp−1)1/p(p+σNp−2))pC]σ+p+σNp−2σ(σ+σNp−1)−p(p+σNp−2)} |
where C=˜CCp(p−1σ)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(qm−1)1/pp+qm−2)pC decreases w.r.t. qm. Furthermore, let δ1>0 be such that
˜Cδps(σ−1)N(p−2)+ps1+C˜C4δps(σ−1)N(p−2)+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,x∈M. We denote by r(x)=dist(x0,x) the Riemannian distance between x0 and x. Moreover, we let BR(x0):={x∈M:dist(x0,x)<R} be the geodesic ball with centre x0∈M and radius R>0. If a reference point x0∈M 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 k∈R+
Tk(v):={kifv≥k,vif|v|<k,−kifv≤−k;. | (3.1) |
For every R>0, k>0, consider the problem
{ut=div(|∇u|p−2∇u)+Tk(uσ)inBR×(0,+∞)u=0in∂BR×(0,+∞)u=u0inBR×{0}, | (3.2) |
where u0∈L∞(BR), u0≥0. Solutions to problem (3.2) are meant in the weak sense as follows.
Definition 3.1. Let p>1 and σ>p−1. Let u0∈L∞(BR), u0≥0. We say that a nonnegative function u is a solution to problem (3.2) if
u∈L∞(BR×(0,+∞)),u∈L2((0,T);W1,p0(BR))foranyT>0, |
and for any T>0, φ∈C∞c(BR×[0,T]) such that φ(x,T)=0 for every x∈BR, u satisfies the equality:
−∫T0∫BRuφtdμdt=−∫T0∫BR|∇u|p−2⟨∇u,∇φ⟩dμdt+∫T0∫BRTk(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>p−1+pN. Assume that inequality (1.3) holds. Suppose that u0∈L∞(BR), u0≥0. Let 1<q<∞ and assume that
‖u0‖Lσ0(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 u∈C([0,T],Lq(BR)) for any q∈(1,+∞), for any T>0. Then
‖u(t)‖Lq(BR)≤‖u0‖Lq(BR)forallt>0. | (3.4) |
Note that the request u∈C([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 uq−1,
∫BRutuq−1dx=∫BRdiv(|∇u|p−2∇u)uq−1dx+∫BRTk(uσ)uq−1dx. |
Now, we formally integrate by parts in BR. This can be justified by standard tools, by an approximation procedure. We get
1qddt∫BRuqdμ=−(q−1)∫BRuq−2|∇u|pdμ+∫BRTk(uσ)uq−1dμ. | (3.5) |
Observe that, thanks to Sobolev inequality (1.3), we have
∫BRuq−2|∇u|pdμ=(pp+q−2)p∫BR|∇(up+q−2p)|pdμ≥(pp+q−2)pCps,p(∫BRup+q−2ppNN−pdμ)N−pN. | (3.6) |
Moreover, the last term in the right hand side of (3.5), by using the H{ö}lder inequality with exponents NN−p and Np, becomes
∫BRTk(uσ)uq−1dx≤∫BRuσuq−1dx=∫BRuσ−p+1up+q−2dx≤‖u(t)‖σ−p+1L(σ−p+1)Np(BR)‖u(t)‖p+q−2L(p+q−2)NN−p(BR). | (3.7) |
Combining (3.6) and (3.7) we get
1qddt‖u(t)‖qLq(BR)≤−[(q−1)(pp+q−2)pCps,p−‖u(t)‖σ−p+1Lσ0(BR)]‖u(t)‖p+q−2L(p+q−2)NN−p(BR) | (3.8) |
Take T>0. Observe that, due to hypotheses (3.3) and the known continuity in Lσ0 of the map t↦u(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],
1qddt‖u(t)‖qLq(BR)≤−[(pp+q−2)p(q−1)Cps,p−(2ˉε)σ−p+1]‖u(t)‖p+q−2L(p+q−2)NN−p(BR)≤0, |
where the last inequality is obtained by using (3.3). We have proved that t↦‖u(t)‖Lq(BR) is decreasing in time for any t∈(0,t0], thus
‖u(t)‖Lq(BR)≤‖u0‖Lq(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)≤‖u0‖Lσ0(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 t↦u(t) in [0,T]. Hence, we can write that
‖u(t)‖σ−p+1Lσ0(BR)≤2ˉεfor anyt∈(t0,t1]. |
Thus we get
‖u(t)‖Lq(BR)≤‖u0‖Lq(BR)for anyt∈(0,t1]. |
Iterating this procedure we obtain that t↦‖u(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>p−1+pN. Assume that inequality (1.3) holds. Suppose that u0∈L∞(BR), u0≥0. Let u be the solution of problem (3.2), so that u∈C([0,T],Lq(BR)) for any q∈(1,+∞), for any T>0. Let 1<q0≤q<+∞ and assume that
‖u0‖Lσ0(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)≤Ct−γq‖u0‖δqLq0(BR)forallt>0, | (3.11) |
where
γq=(1q0−1q)Nq0pq0+N(p−2),δq=q0q(q+Np(p−2)q0+Np(p−2)). | (3.12) |
Proof. Let {qn} be the sequence defined in (2.8). Let ˉn be the first index such that qˉn≥q. 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 qˉn≡q then the proof is complete. Otherwise, if qˉn>q then, by interpolation, we get the thesis.
Let t>0, we define
r=t2¯n−1,tn=(2n−1)r. | (3.13) |
Observe that t0=0,tˉn=t,{tn} is an increasing sequence w.r.t. n. Now, for any 1≤n≤¯n, we multiply Eq (3.2) by uqn−1−1 and integrate in BR×[tn−1,tn]. Thus we get
∫tntn−1∫BRutuqn−1−1dμdt−∫tntn−1∫BRdiv(|∇u|p−2∇u)uqn−1−1dμdt=∫tntn−1∫BRTk(uσ)uqn−1−1dμdt. |
Then we integrate by parts in BR×[tn−1,tn]. Due to Sobolev inequality (1.3) and assumption (3.10), we get
1qn−1[‖u(⋅,tn)‖qn−1Lqn−1(BR)−‖u(⋅,tn−1)‖qn−1Lqn−1(BR)]≤−[(pp+qn−1−2)p(qn−1−1)Cps,p−2˜ε0]∫tntn−1‖u(τ)‖p+qn−1−2L(p+qn−1−2)NN−p(BR)dτ, | (3.14) |
where we have made use of inequality Tk(uσ)≤uσ. We define qn as in (2.8), so that (p+qn−1−2)NN−p=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
1qn−1[‖u(⋅,tn)‖qn−1Lqn−1(BR)−‖u(⋅,tn−1)‖qn−1Lqn−1(BR)]≤−[(pp+qn−1−2)p(qn−1−1)Cps,p−2˜ε0]‖u(⋅,tn)‖p+qn−1−2L(p+qn−1−2)NN−p(BR)|tn−tn−1|. | (3.15) |
Observe that
‖u(⋅,tn)‖qn−1Lqn−1(BR)≥0,|tn−tn−1|=2n−1t2ˉn−1. | (3.16) |
We define
dn−1:=[(pp+qn−1−2)p(qn−1−1)Cps,p−2˜ε0]−11qn−1. | (3.17) |
By plugging (3.16) and (3.17) into (3.15) we get
‖u(⋅,tn)‖p+qn−1−2L(p+qn−1−2)NN−p(BR)≤(2ˉn−1)dn2n−1t‖u(⋅,tn−1)‖qn−1Lqn−1(BR). |
The latter can be rewritten as
‖u(⋅,tn)‖L(p+qn−1−2)NN−p(BR)≤((2ˉn−1)dn2n−1)1p+qn−1−2t−1p+qn−1−2‖u(⋅,tn−1)‖qn−1p+qn−1−2Lqn−1(BR). |
Due to to the definition of the sequence {qn} in (2.8) we write
‖u(⋅,tn)‖Lqn(BR)≤((2ˉn−1)dn−12n−1)NN−p1qnt−NN−p1qn‖u(⋅,tn−1)‖qn−1qnNN−pLqn−1(BR). | (3.18) |
We define
s:=NN−p. | (3.19) |
Observe that, for any 1≤n≤ˉn, we have
((2ˉn−1)dn−12n−1)s={2ˉn−12n−1[(pp+qn−1−2)p(qn−1−1)Cps,p−2ε]−11qn−1}s=[2ˉn−12n−11qn−1(qn−1−1)(pp+qn−1−2)pCps,p−2εqn−1]s, | (3.20) |
and
2ˉn−12n−1≤2ˉn+1for all1≤n≤ˉn. | (3.21) |
Consider the function
g(x):=[(x−1)(pp+x−2)pCps,p−2ε]xforq0≤x≤qˉn,x∈R. |
Observe that, due to (2.9), g(x)>0 for any q0≤x≤qˉn. Moreover, g has a minimum in the interval q0≤x≤qˉn; call ˜x the point at which the minimum is attained. Then we have
1g(x)≤1g(˜x)for any q0≤x≤qˉn. | (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
((2ˉn−1)dn−12n−1)s≤C,for all1≤n≤ˉn. | (3.23) |
By plugging (3.19) and (3.23) into (3.18) we get, for any 1≤n≤ˉn
‖u(⋅,tn)‖Lqn(BR)≤C1qnt−sqn‖u(⋅,tn−1)‖sqn−1qnLqn−1(BR). | (3.24) |
Let us set
Un:=‖u(⋅,tn)‖Lqn(BR). |
Then (3.24) becomes
Un≤C1qnt−sqnUqn−1sqnn−1≤C1qnt−sqn[Csqnt−s2qnUs2qn−2qnk−2]≤...≤C1qnn−1∑i=0sit−sqnn−1∑i=0siUsnq0qn0. |
We define
αn:=1qnn−1∑i=0si,βn:=sqnn−1∑i=0si=sαn,δn:=snq0qn. | (3.25) |
By substituting n with ˉn into (3.25) we get
αˉn:=N−ppAqˉn,βˉn:=NpAqˉn,δˉn:=(A+1)q0qˉn. | (3.26) |
where A:=(NN−p)ˉn−1. Hence, in view of (3.13) and (3.26), (3.24) with n=ˉn yields
‖u(⋅,t)‖Lqˉn(BR)≤CN−ppAqˉnt−NpAqˉn‖u0‖q0A+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 q0≤q<qˉn and define
B:=N(p−2)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)‖1−θLqˉn(BR)≤‖u0(⋅)‖θLq0(BR)Ct−NAB(1−θ)‖u0‖pq0A+1B(1−θ)Lq0(BR)=Ct−NAB(1−θ)‖u0‖pq0A+1B(1−θ)+θLq0(BR), | (3.28) |
where
θ=q0q(qˉn−qqˉn−q0). | (3.29) |
Observe that
(i)NAB(1−θ)=Np(q−q0q)1q0+Np(p−2);(ii)pq0A+1B(1−θ)+θ=q0qq+Np(p−2)q0+Np(p−2). |
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 ε⟶0 as q→∞. So in such limit the hypothesis on the norm of the initial datum (2.9) is satisfied only when u0≡0.
We now consider the case σ>p−1 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 u0∈L∞(BR), u0≥0. Let 1<q<∞ and assume that
‖u0‖LσNp(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 u∈C([0,T);Lq(BR)). Then
‖u(t)‖Lq(BR)≤‖u0‖Lq(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 uq−1, therefore
∫BRutuq−1dμ=∫BRdiv(|∇u|p−2∇u)uq−1dμ+∫BRTk(uσ)uq−1dμ. |
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
1qddt∫BRuqdμ≤−(q−1)(pp+q−2)p∫BR|∇(up+q−2p)|pdμ+∫BRuσ+q−1dμ. | (3.32) |
Now we take c1>0, c2>0 such that c1+c2=1 so that
∫BR|∇(up+q−2p)|pdμ=c1‖∇(up+q−2p)‖pLp(BR)+c2‖∇(up+q−2p)‖pLp(BR). | (3.33) |
Take α∈(0,1). Thanks to (1.4), (3.33) we get
∫BR|∇(up+q−2p)|2dμ≥c1Cpp‖u‖p+q−2Lp+q−2(BR)+c2‖∇(up+q−2p)‖pLp(BR)≥c1Cpp‖u‖p+q−2Lp+q−2(BR)+c2‖∇(up+q−2p)‖p+pα−pαLp(BR)≥c1Cpp‖u‖p+q−2Lp+q−2(BR)+c2Cpαp‖u‖α(p+q−2)Lp+q−2(BR)‖∇(up+q−2p)‖p−pαLp(BR) | (3.34) |
Moreover, using the interpolation inequality, Hölder inequality and (1.3), we have
∫BRuσ+q−1dμ,=‖u‖σ+q−1Lσ+q−1≤‖u‖θ(σ+q−1)Lp+q−2(BR)‖u‖(1−θ)(σ+q−1)Lσ+p+q−2(BR)≤‖u‖θ(σ+q−1)Lp+q−2(BR)[‖u‖σLσNp(BR)‖u‖p+q−2L(p+q−2)NN−p(BR)](1−θ)(σ+q−1)σ+p+q−2≤‖u‖θ(σ+q−1)Lp+q−2(BR)‖u‖(1−θ)σ(σ+q−1)σ+p+q−2LσNp(BR)(1Cs,p‖∇(up+q−2p)‖Lp(BR))p(1−θ)σ+q−1σ+p+q−2 | (3.35) |
where θ:=(p−1)(p+q−2)σ(σ+q−1). By plugging (3.34) and (3.35) into (3.32) we obtain
1qddt‖u(t)‖qLq(BR)≤−(q−1)(pp+q−2)pc1Cpp‖u‖p+q−2Lp+q−2(BR)−(q−1)(pp+q−2)pc2Cpαp‖u‖α(p+q−2)Lp+q−2(BR)‖∇(up+q−2p)‖p−pαLp(BR)+˜C‖u‖θ(σ+q−1)Lp+q−2(BR)‖u‖(1−θ)σ(σ+q−1)σ+p+q−2LσNp(BR)‖∇(up+q−2p)‖p(1−θ)σ+q−1σ+p+q−2Lp(BR), | (3.36) |
where
˜C=(1Cs,p)p(1−θ)σ+q−1σ+p+q−2. | (3.37) |
Let us now fix α∈(0,1) such that
p−pα=p(1−θ)σ+q−1σ+p+q−2. |
Hence, we have
α=p−1σ. | (3.38) |
By substituting (3.38) into (3.36) we obtain
1qddt‖u(t)‖qLq(BR)≤−(q−1)(pp+q−2)pc1Cpp‖u‖p+q−2Lp+q−2(BR)−1˜C{(q−1)(pp+q−2)pC−‖u‖σ(σ+q−1)−(p−1)(p+q−2)σ+p+q−2LσNp(BR)}×‖u‖α(p+q−2)Lp+q−2(BR)‖∇(up+q−2p)‖p−pαLp(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]
1qddt‖u(t)‖qLq(BR)≤−(q−1)(pp+q−2)pc1Cpp‖u‖p+q−2Lp+q−2(BR)−1˜C{(q−1)(pp+q−2)pC−2˜εσ(σ+q−1)−(p−1)(p+q−2)σ+p+q−21}‖u‖α(p+q−2)Lp+q−2(BR)‖∇(up+q−2p)‖p−pαLp(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)≤‖u0‖Lq(BR)for anyt∈(0,t0]. | (3.40) |
In particular, inequality (3.40) holds q=σNp. Hence we have
‖u(t)‖LσNp(BR)≤‖u0‖LσNp(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 t↦u(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)≤‖u0‖Lq(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 u0∈L∞(BR), u0≥0. Let u be the solution of problem (3.2) in the sense of Definition 3.1 such that in addition u∈C([0,T],Lq(BR)) for any q∈(1,+∞), for any T>0. Let 1<q0≤q<+∞ and assume that
‖u0‖LσNp(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)≤Ct−γq‖u0‖δqLq0(BR)forallt>0, | (3.42) |
where
γq=q0p−2(1q0−1q),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¯m≥q. 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¯m≡q then the proof is complete. Otherwise, if q¯m>q then, by interpolation, we get the thesis.
Let t>0, we define
r=t2¯m−1,tm=(2m−1)r. | (3.44) |
Observe that
t0=0,t¯m=t,{tm} is an increasing sequence w.r.t.m. |
Now, for any 1≤m≤¯m, we multiply Eq (3.2) by uqm−1−1 and integrate in BR×[tm−1,tm]. Thus we get
∫tmtm−1∫BRutuqm−1−1dμdτ−∫tmtm−1∫BRdiv(|∇up−2|∇u)uqm−1−1dμdτ=∫tmtm−1∫BRTk(uσ)uqm−1−1dμdτ. |
Then we integrate by parts in BR×[tm−1,tm], hence we get
1qm−1[‖u(⋅,tm)‖qm−1Lqm−1(BR)−‖u(⋅,tm−1)‖qm−1Lqm−1(BR)]≤−(qm−1−1)(pp+qm−1−2)p∫tmtm−1∫BR|∇(up+qm−1−2p)|pdμdτ+∫tmtm−1∫BRuσuqm−1−1dμdτ. |
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=qm−1, we get
∫BR|∇(up+qm−1−2p)|pdμ≥c1Cpp‖u‖p+qm−1−2Lp+qm−1−2(BR)+c2Cpαp‖u‖α(p+qm−1−2)Lp+qm−1−2(BR)‖∇(up+qm−1−2p)‖p−pαLp(BR) |
where α∈(0,1) and c1>0, c2>0 with c1+c2=1. Similarly, from (3.35) with q=qm−1 we can write
∫BRuσuqm−1−1dμ=‖u‖σ+qm−1−1Lp+qm−1−1(BR)≤‖u‖θ(σ+qm−1−1)Lp+qm−1−2(BR)‖u‖(1−θ)σ(σ+qm−1−1)σ+p+qm−1−2LσNp(BR)×(1Cs,p‖∇(up+qm−1−2p)‖Lp(BR))p(1−θ)σ+qm−1−1σ+p+qm−1−2 |
where θ:=(p−1)(p+qm−1−2)σ(σ+qm−1−1). 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
1qm−1[‖u(⋅,tm)‖qm−1Lqm−1(BR)−‖u(⋅,tm−1)‖qm−1Lqm−1(BR)]≤−(qm−1−1)(pp+qm−1−2)pc1Cpp∫tmtm−1‖u(⋅,τ)‖p+qm−1−2Lp+qm−1−2(BR)dτ−1˜C{(qm−1−1)(pp+qm−1−2)pC−2~ε1σ(σ+qm−1−1)−(p−1)(p+qm−1−2)σ+p+qm−1−2}×∫tmtm−1‖u(⋅,τ)‖α(p+qm−1−2)Lp+qm−1−2(BR)‖∇(up+qm−1−2p)(⋅,τ)‖p−pαLp(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
1qm−1[‖u(⋅,tm)‖qm−1Lqm−1(BR)−‖u(⋅,tm−1)‖qm−1Lqm−1(BR)]≤−(qm−1−1)(pp+qm−1−2)pc1Cpp∫tmtm−1‖u(⋅,τ)‖p+qm−1−2Lp+qm−1−2(BR)dτ. |
We define qm as in (2.15), so that qm=p+qm−1−2. 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
1qm−1[‖u(⋅,tm)‖qm−1Lqm−1(BR)−‖u(⋅,tm−1)‖qm−1Lqm−1(BR)]≤−(qm−1−1)(pp+qm−1−2)pc1Cpp‖u(⋅,tm)‖qmLqm(BR)|tm−tm−1|. | (3.46) |
Observe that
‖u(⋅,tm)‖qm−1Lqm−1(BR)≥0,|tm−tm−1|=2m−1t2¯m−1. | (3.47) |
We define
dm−1:=(pp+qm−1−2)−p1c1Cpp1qm−1(qm−1−1). | (3.48) |
By plugging (3.47) and (3.48) into (3.46), we get
‖u(⋅,tm)‖qmLqmρ(BR)≤2ˉm−12m−1tdm−1‖u(⋅,tm−1)‖qm−1Lqm−1ρ(BR). |
The latter can be rewritten as
‖u(⋅,tm)‖Lqm(BR)≤(2ˉm−12m−1dm−1)1qmt−1qm‖u(⋅,tm−1)‖qm−1qmLqm−1(BR) | (3.49) |
Observe that, for any 1≤m≤ˉm, we have
2ˉm−12m−1dm−1=2ˉm−12m−1(pp+qm−1−2)−p1c1Cpp1qm−1(qm−1−1)≤2ˉm+11c1Cpp(p+qm−1−2p)p1qm−1(qm−1−1). | (3.50) |
Consider the function
h(x):=(p+x−2)px(x−1),forq0≤x≤q¯m,x∈R. |
Observe that h(x)≥0 for any q0≤x≤q¯m. Moreover, h has a maximum in the interval q0≤x≤q¯m, call ˜x the point at which it is attained. Hence
h(x)≤h(˜x)for anyq0≤x≤q¯m,x∈R. | (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¯m−12m−1dm−1≤Cfor all1≤m≤¯m. | (3.52) |
By using (3.52) and (3.49), we get, for any 1≤m≤¯m
‖u(⋅,tm)‖Lqm(BR)≤C1qmt−1qm‖u(⋅,tm−1)‖qm−1qmLqm−1(BR). | (3.53) |
Let us set
Um:=‖u(⋅,tm)‖Lqm(BR) |
Then (3.53) becomes
Um≤C1qmt−1qmUqm−1qmn−1≤C1qmt−1qm[C1qm−1t−1qm−1Uqm−2qm−1m−2]≤...≤Cmqmt−mqmUq0qm0. |
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¯mt−α¯m‖u0‖δ¯mLq0(BR). |
Observe that if q¯m=q then the thesis is proved and one has
α¯m=1p−2(1−q0q),δ¯m=q0q. |
Now suppose that q<q¯m, then in particular q0≤q≤q¯m. By interpolation and Lemma 3.5 we get
‖u(⋅,t)‖Lq(BR)≤‖u(⋅,t)‖θLq0(BR)‖u(⋅,t)‖1−θLq¯m(BR)‖u(⋅,t)‖θLq0(BR)Cα¯m(1−θ)t−α¯m(1−θ)‖u0‖δ¯m(1−θ)Lq0(BR)≤Cα¯m(1−θ)t−α¯m(1−θ)‖u0‖δ¯m(1−θ)+θLq0(BR), | (3.55) |
where
θ=q0q(q¯m−qq¯m−q0). | (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):=v−Tk(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 i∈N∪{0}, the sequences
ki:=a2+(a1−a2)2−i;θi:=τ2+(τ1−τ2)2−i; | (4.2) |
and the cylinders
Ui:=BR×(θi,t). | (4.3) |
Observe that the sequence {θi}i∈N is monotone decreasing w.r.t. i. Furthermore, we define, for any i∈N, the cut-off functions ξi(τ) such that
ξi(τ):={1θi−1<τ<t00<τ<θiand|(ξi)τ|≤2iτ1−τ2. | (4.4) |
Finally, we define
S(t):=sup0<τ<t(τ‖u(τ)‖σ−1L∞(BR)). | (4.5) |
We can now state the following
Lemma 4.1. Let i∈N, 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<t∫BR[Gk0(u)]qdμ+∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤2iγC1∬Ui[Gki+1(u)]qdμdτ. |
where γ=γ(p,q) and
C1:=1τ1−τ2+S(t)τ12a1a1−a2. | (4.6) |
Proof. For any i∈N, we multiply both sides of the differential equation in problem (3.2) by [Gki(u)]q−1ξi, q>1, and we integrate on the cylinder Ui, yielding:
∬Uiuτ[Gki(u)]q−1ξidμdτ=∬Uidiv(|∇u|p−2∇u)[Gki(u)]q−1ξidμdτ+∬UiTk(uσ)[Gki(u)]q−1ξidμdτ. | (4.7) |
We integrate by parts. Thus we write, due to (4.4),
∬Uiuτ[Gki(u)]q−1ξidμdτ=1q∬Uiddτ[(Gki(u))q]ξidμdτ=−1q∬Ui[Gki(u)]q(ξi)τdμdτ+1q∫BR[Gki(u(x,t))]qdμ | (4.8) |
Moreover,
−∬Uidiv(|∇u|p−2∇u)[Gki(u)]q−1ξidμdτ=∬Ui|∇u|p−2∇u⋅∇[Gki(u)]q−1ξidμdτ≥(q−1)∬Ui[Gki(u)]q−2|∇[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
1q∫BR[Gki(u(x,t))]qdμ+(q−1)∬Ui[Gki(u)]q−2|∇[Gki(u)]|pξidμdτ≤1q∬Ui[Gki(u)]q(ξi)τdμdτ+∬Uiuσ[Gki(u)]q−1ξidμdτ≤2iτ1−τ2∬Ui[Gki(u)]qdμdτ+∬Uiuσ[Gki(u)]q−1ξidμdτ. | (4.10) |
Let us define
˜γ:=[min{1q,q−1}]−1, |
thus (4.10) reads
∫BR[Gki(u(x,t))]qdμ+∬Ui[Gki(u)]q−2|∇[Gki(u)]|pξidμdτ≤˜γ2iτ1−τ2∬Ui[Gki(u)]qdμdτ+˜γ∬Uiuσ[Gki(u)]q−1ξidμdτ. | (4.11) |
Observe that the sequence {ki}i∈N is monotone decreasing, hence
Gk0(u)≤Gki(u)≤Gki+1(u)≤ufor alli∈N. |
Thus (4.11) can be rewritten as
∫BR[Gk0(u(x,t))]qdμ+∬Ui−1[Gki(u)]q−2|∇[Gki(u)]|pdμdτ≤2i˜γτ1−τ2∬Ui[Gki+1(u)]qdμdτ+˜γ∬Uiuσ[Gki+1(u)]q−1dμdτ. | (4.12) |
Let us now define
I:=˜γ∬Uiuσ−1u[Gki+1(u)]q−1dμdτ |
Observe that, for any i∈N,
ukiχi≤u−ki+1ki−ki+1χi |
where χi is the characteristic function of Di:={(x,t)∈Ui:u(x,t)≥ki}. Then, by using (4.5), we get:
I≤˜γ∫tθi1ττ‖u(τ)‖σ−1L∞(BR)∫BRu[Gki+1(u)]q−1dμdτ=˜γ∫tθi1ττ‖u(τ)‖σ−1L∞(BR)∫BRkiuki[Gki+1(u)]q−1dμdτ≤˜γkiki−ki+1S(t)∫tθi1τ∫BR[Gki+1(u)]qdμdτ. | (4.13) |
By substituting (4.13) into (4.12) we obtain
supτ1<τ<t∫BR[Gk0(u(x,t))]qdμ+(pp+q−2)p∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤2i˜γτ1−τ2∬Ui[Gki+1(u)]qdμdτ+ki˜γki−ki+1S(t)θ0∬Ui[Gki+1(u)]qdμdτ. |
To proceed further, observe that
kiki−ki+1=2i+1a2a1−a2+2,andθ0≡τ1. |
Consequently, by choosing C1 as in (4.6), we get
supτ1<τ<t∫BR[Gk0(u(x,t))]qdμ+(pp+q−2)p∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤2i˜γC1∫∫Ui[Gki+1(u)]qdμdτ. |
The thesis follows, letting
γ:=[min{1;(pp+q−2)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 i∈N and ε>0, we have
supτ1<τ<t∫BR[Gk0(u)]qdμ+∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤ε∬Ui|∇[Gki+1(u)]p+q−2p|pdμdτ+C(ε)(2iγC1)N(p+q−2−r)+prN(p−2)+pr(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+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(p−2)+pqN(p+q−2−r)+pr. | (4.15) |
Observe that, since 1<r<q, one has 0<α<q. By Hölder inequality with exponents pNN−p(p+q−2p(q−α)) and N(p+q−2)N(p+α−2)+p(q−α), we thus have:
∫BR[Gki+1(u)]qdμ=∫BR[Gki+1(u)]q−α[Gki+1(u)]αdμ≤(∫BR[Gki+1(u)](p+q−2p)pNN−pdμ)(p(q−α)p+q−2)N−ppN×(∫BR[Gki+1(u)]αN(p+q−2)N(p+α−2)+p(q−α)dμ)N(p+α−2)+p(q−α)N(p+q−2)≤(‖[Gki+1(u)]p+q−2p‖Lp∗(BR))p(q−α)p+q−2×(∫BR[Gki+1(u)]αN(p+q−2)N(p+α−2)+p(q−α)dμ)N(p+α−2)+p(q−α)N(p+q−2). | (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+q−2p‖Lp(BR))p(q−α)p+q−2(∫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+q−2q−α and p+q−2p+α−2 to get:
2iγC1∫BR[Gki+1(u)]qdμ≤ε∫BR|∇[Gki+1(u)]p+q−2p|pdμ+C(ε)(2iγC1)p+q−2p+α−2(∫BR[Gki+1(u)]rdμ)αrp+q−2p+α−2 | (4.18) |
Define
λ:=αr(p+q−2p+α−2)=N(p−2)+pqN(p−2)+pr. |
Observe that λ>1 since r<q. By Lemma 4.1,
supτ1<τ<t∫BR[Gk0(u)]qdμ+∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤2iγC1∫tθi∫BR[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+q−2p+α−2∫tθi(∫BR[Gki+1(u)]rdμ)λdτ≤C(ε)(2iγC1)p+q−2p+α−2(t−τ2)(supτ2<τ<t∫BR[Gki+1(u)]rdμ)λ | (4.20) |
where we have used that τ2<θi for every i∈N. Finally, we substitute (4.19) and (4.20) into (4.18), thus we get
supτ1<τ<t∫BR[Gk0(u)]qdμ+∬Ui−1|∇[Gki(u)]p+q−2p|pdμdτ≤ε∬Ui|∇[Gki+1(u)]p+q−2p|pdμdτ+C(ε)(2iγC1)p+q−2p+α−2(t−τ2)(supτ2<τ<t∫BR[Gki+1(u)]rdμ)λ |
The thesis follows by noticing that, for any i∈N
Gki(u)≤Gki+1(u)≤…≤Gk∞(u), |
and that
p+q−2p+α−2=N(p+q−2−r)+prN(p−2)+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 r≥1, then there exists k=k(p,r) such that
‖u(x,τ)‖L∞(BR×(t2,t))≤kt−NN(p−2)+pr[supt4<τ<t∫BRurdμ]pN(p−2)+pr, |
for all t∈(0,T).
Proof. Let us define, for any j∈N,
Ji:=∬Ui|∇[Gki+1(u)]p+q−2p|pdμdt, | (4.21) |
where Gk, {ki}i∈N and Ui have been defined in (4.1), (4.2) and (4.3) respectively. Let us fix 1≤r<q and define
β:=N(p+q−2−r)+prN(p−2)+pr. |
By means of Lemma 4.2 and (4.21), we can write, for any i∈N∪{0}
supτ1<τ<t∫BR[Gk0(u)]qdμ+J0≤εJ1+C(ε)(2γC1)β(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+pr≤ε{εJ2+C(ε)(22γC1)β(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+pr}+C(ε)(2γC1)β(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+pr≤…≤εiJi+i−1∑j=0(2βε)j(2γC1)βC(ε)(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+pr. | (4.22) |
Fix now ε>0 such that ε2β<12. Taking the limit as i⟶+∞ in (4.22) we have:
supτ1<τ<t∫BR[Gk0(u)]qdμ≤˜C(2γC1)β(t−τ2)(supτ2<τ<t∫BR[Gk∞(u)]rdμ)N(p−2)+pqN(p−2)+pr. | (4.23) |
Observe that, due to the definition of the sequence {ki}i∈N in (4.2), one has
k0=a1,k∞=a2;Gk0(u)=Ga1(u),Gk∞(u)=Ga2(u). |
For n∈N∪{0}, consider, for some C0>0 to be fixed later, the following sequences
tn=12t(1−2−n−1);hn=C0(1−2−n−1);¯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,
2C1≤Cn2tfor someC2>1. |
Due to the latter bound and to (4.25), (4.23) reads
suptn+1<τ<t∫BR[G¯hn(u)]qdμ≤˜CγCnβ2t−β+1(suptn<τ<t∫BR[Ghn(u)]rdμ)N(p−2)+pqN(p−2)+pr. | (4.26) |
Furthermore, observe that
∫BR[Ghn+1(u)]rdμ≤(hn+1−¯hn)r−q∫BR[G¯hn(u)]qdμ. | (4.27) |
By combining together (4.26) and (4.27), we derive the following inequalities:
suptn+1<τ<t∫BR[Ghn+1(u)]rdμ≤(hn+1−¯hn)r−qsuptn+1<τ<t∫BR[G¯hn(u)]qdμ≤˜CγCnβ2(hn+1−hn2)r−qt−β+1(suptn<τ<t∫BR[Ghn(u)]rdμ)N(p−2)+pqN(p−2)+pr. | (4.28) |
Let us finally define
Yn:=suptn<τ<t∫BR[Ghn(u)]rdμ. |
Hence, by using (4.24), (4.28) reads,
Yn+1≤˜CγCnβ2(hn+1−hn2)r−qt−β+1YN(p−2)+pqN(p−2)+prn≤˜CγCnβ22(n+3)(q−r)Cr−q0t−β+1YN(p−2)+pqN(p−2)+prn≤kn(q−r)Cr−q0t−β+1YN(p−2)+pqN(p−2)+prn, |
for some k=k(p,r)>1. From [25,Chapter 2,Lemma 5.6] it follows that
Yn⟶0asn→+∞, | (4.29) |
provided
Cr−q0t−β+1YN(p−2)+pqN(p−2)+pr−10≤kr−q. | (4.30) |
Now, (4.29), in turn, reads
‖u‖L∞(BR×(t2,t))≤C0. |
Moreover, (4.30) is fulfilled since
C0=kt−β+1q−rY(N(p−2)+pqN(p−2)+pr−1)(1q−r)0≤kt−NN(p−2)+pr[supt4<τ<t∫BRurdμ]pN(p−2)+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>p−1+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}h≥0 be a sequence of functions such that
(a)u0,h∈L∞(M)∩C∞c(M)for allh≥0,(b)u0,h≥0for allh≥0,(c)u0,h1≤u0,h2for any h1<h2,(d)u0,h⟶u0inLs(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|p−2∇u)+Tk(uσ)inBR×(0,+∞)u=0in∂BR×(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,k∈C([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,h∈Lq(M) and u0,h⟶u0 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>p−1+pN. Assume that inequality (1.3) holds. Let u be a solution of problem (3.2) with u0∈L∞(BR), u0≥0, such that
‖u0‖Lσ0(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<Tt‖u(t)‖σ−1L∞(BR). | (6.1) |
Due to Lemma 4.3 with the choice r=q>σ0, (6.1) reduces to
1=S(T)≤sup0<t<Tt{kt−NN(p−2)+pq(supt4<τ<t∫BRuqdμ)pN(p−2)+pq}(σ−1)≤sup0<t<Tkt1−N(σ−1)N(p−2)+pq(supt4<τ<t‖u(τ)‖qp(σ−1)N(p−2)+pqLq(BR)). | (6.2) |
Define
I1:=supt4<τ<t‖u(τ)‖pq(σ−1)N(p−2)+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
I1≤supt4<τ<t[Ct−γq‖u0‖δqLq0(BR)]pq(σ−1)N(p−2)+pq≤Ct−γqpq(σ−1)N(p−2)+pq‖u0‖δqpq(σ−1)N(p−2)+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<Tt1−N(σ−1)N(p−2)+pq−γqpq(σ−1)N(p−2)+pq‖u0‖δqpq(σ−1)N(p−2)+pqLq0(BR). |
Observe that
1−N(σ−1)N(p−2)+pq−γqpq(σ−1)N(p−2)+pq=0;δqpq(σ−1)N(p−2)+pq=σ−p+1>0; |
hence
1=S(T)<C˜Cεσ−p+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>p−1+pN. Let u be the solution to problem (3.2) with u0∈L∞(BR), u0≥0. Let σ0 be defined in (2.1) and q>σ0. Assume that
‖u0‖Lσ0(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)≤Ct−1σ−1‖u0‖1−p−2σ−1Lσ0(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)≤‖u‖L∞(BR×(t2,t))≤kt−NN(p−2)+pq[supt4<τ<t‖u(τ)‖qLq(BR)]pN(p−2)+pq≤Ct−NN(p−2)+pq−γqpqN(p−2)+pq‖u0‖δqpqN(p−2)+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(p−2)+pq−γqpqN(p−2)+pq=−1σ−1, | (6.7) |
and
δqpqN(p−2)+pq=σ−p+1σ−1. | (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}l≥0 be a sequence of functions such that
(a)u0,l∈L∞(M)∩C∞c(M)for alll≥0,(b)u0,l≥0for alll≥0,(c)u0,l1≤u0,l2for any l1<l2,(d)u0,l⟶u0inLσ0(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,k∈C([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 u0∈L∞(BR), u0≥0, such that
‖u0‖Lq(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<Tt‖u(t)‖σ−1L∞(BR). | (7.3) |
By Lemma (4.3) applied with r=q>max{Np(σ−p+1),1}, (7.3) gives
1=S(T)≤sup0<t<Tt{kt−NN(p−2)+pq(supt4<τ<t∫BRuqdμ)pN(p−2)+pq}(σ−1)≤sup0<t<Tkt1−N(σ−1)N(p−2)+pq(supt4<τ<t‖u(τ)‖qp(σ−1)N(p−2)+pqLq(BR)). | (7.4) |
By applying Proposition 3.6 to (7.4) and due to (7.1), we get
1=S(T)≤sup0<t<Tkt1−N(σ−1)N(p−2)+pq‖u0‖qp(σ−1)N(p−2)+pqLq(BR)≤kT1−N(σ−1)N(p−2)+pqδqp(σ−1)N(p−2)+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 u0∈L∞(BR), u0≥0, such that
‖u0‖Ls(BR)≤δ1,‖u0‖LσNp(BR)≤δ1, | (7.5) |
for δ1>0 sufficiently small. Let S(t) be as in (4.5), then
T:=sup{t≥0: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<Tt‖u(t)‖σ−1L∞(BR)≤sup0<t<1t‖u(t)‖σ−1L∞(BR)+sup1<t<Tt‖u(t)‖σ−1L∞(BR)=:J1+J2. | (7.7) |
Now, by Lemma 4.3, applied with r=s, and Lemma 3.5 with q=s, we can write
J1≤sup0<t<1t{kt−NN(p−2)+ps(supt4<τ<t∫BRusdμ)pN(p−2)+ps}(σ−1)≤sup0<t<1kt1−N(σ−1)N(p−2)+ps‖u0‖ps(σ−1)N(p−2)+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
J2≤sup1<t<Tt{kt−NN(p−2)+pq(supt4<τ<t∫BRuqdμ)pN(p−2)+pq}(σ−1)≤sup1<t<Tkt1−N(σ−1)N(p−2)+pqsupt4<τ<t‖u(τ)‖pq(σ−1)N(p−2)+pqLq(BR)≤sup1<t<Tkt1−N(σ−1)N(p−2)+pqsupt4<τ<t(Ct−sp−2(1s−1q)‖u0‖sqLs(BR))pq(σ−1)N(p−2)+pq≤sup1<t<TCk4t1−N(σ−1)N(p−2)+pq−spq(σ−1)(p−2)[N(p−2)+pq](1s−1q)‖u0‖ps(σ−1)N(p−2)+pqLs(BR). | (7.9) |
By substituting (7.8) and (7.9) into (7.7) we get
1=S(T)≤sup0<t<1kta‖u0‖ps(σ−1)N(p−2)+psLs(BR)+sup1<t<TCk4tb‖u0‖ps(σ−1)N(p−2)+pqLs(BR), | (7.10) |
where we have set
a=1−N(σ−1)N(p−2)+ps,andb=1−N(σ−1)N(p−2)+pq−spq(σ−1)(p−2)[N(p−2)+pq](1s−1q). |
Now, observe that, since s>max{Np(σ−p+1),1} and q>s,
a>0;andb<0. |
Hence, (7.10), due to assumption (7.5), reads
1=S(T)<kδps(σ−1)N(p−2)+ps1+Ck4δps(σ−1)N(p−2)+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 u0∈L∞(BR), u0≥0, such that
‖u0‖Ls(BR)≤ε1,‖u0‖LσNp(BR)≤ε1, |
with ε1=ε1(σ,p,N,Cs,p,Cp,s) sufficiently small. Then, for any t∈(0,+∞), for some Γ=Γ(σ,p,N,q,s,Cs,p,Cp)>0
‖u(t)‖L∞(BR)≤Γt−1p−2(1−psN(p−2)+pq)‖u0‖psN(p−2)+pqLs(BR). | (7.11) |
Proof. Due to Lemma 7.2,
S(t)≤1for allt∈(0,+∞]. |
Therefore, by Lemma 4.3 and Proposition 3.6 applied with q0=s, for any q>s, we get, for all t∈(0,+∞)
‖u(t)‖L∞(BR)≤‖u‖L∞(BR×(t2,t))≤kt−NN(p−2)+pq[supt4<τ<t‖u(τ)‖qLq(BR)]pN(p−2)+pq≤Γt−NN(p−2)+pq−sp−2(1s−1q)pqN(p−2)+pq‖u0‖sqpqN(p−2)+pqLs(BR). |
Observing that
−NN(p−2)+pq−sp−2(1s−1q)pqN(p−2)+pq=−1p−2(1−psN(p−2)+pq), |
we get the thesis.
Proof of Theorem 2.7. We proceed as in the proof of the previous Theorems. Let {u0,h}h≥0 be a sequence of functions such that
(a)u0,h∈L∞(M)∩C∞c(M)for allh≥0,(b)u0,h≥0for allh≥0,(c)u0,h1≤u0,h2for any h1<h2,(d)u0,h⟶u0inLs(M)ash→+∞. | (7.12) |
From standard results it follows that problem (5.2) has a solution uRh,k in the sense of Definition 3.1 with u0,h as in (7.12); moreover, uRh,k∈C([0,∞);Lq(BR)) for any q>1. Due to Proposition 7.3, 3.6 and Lemmata 3.5 and 7.2, the solution uRh,k to problem (5.2) satisfies estimates (3.31), (3.42) and (7.11) for any t∈(0,+∞), uniformly w.r.t. R, k and h. Thus, by standard arguments, we can pass to the limit as R→+∞, k→+∞ and h→+∞ 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:
{ut=Δum+uσinM×(0,T)u=u0inM×{0}, | (8.1) |
where M is an N−dimensional complete noncompact Riemannian manifold of infinite volume, Δ being the Laplace-Beltrami operator on M and T∈(0,∞]. We shall assume throughout this section that
N≥3,m>1,σ>m, |
so that we are concerned with the case of degenerate diffusions of porous medium type (see [37]), and that the initial datum u0 is nonnegative. Let Lq(M) be the space of those measurable functions f such that |f|q is integrable w.r.t. the Riemannian measure μ. We shall always assume that M supports the Sobolev inequality, namely that:
(Sobolev inequality) ‖v‖L2∗(M)≤1Cs‖∇v‖L2(M)for anyv∈C∞c(M), | (8.2) |
where Cs is a positive constant and 2∗:=2NN−2. In one of our main results, we shall also suppose that M supports the Poincaré inequality, namely that:
(8.3) |
for some .
Solutions to (8.1) will be meant in the very weak, or distributional, sense, according to the following definition.
Definition 8.1. Let be a complete noncompact Riemannian manifold of infinite volume, of dimension . Let , and , . We say that the function is a solution to problem (8.1) in the time interval if
and for any such that for any , satisfies the equality:
First we consider the case that and the Sobolev inequality holds on . In order to state our results we define
(8.4) |
Observe that whenever . 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 be a complete, noncompact, Riemannian manifold of infinite volume and of dimension , such that the Sobolev inequality (8.2) holds. Let , , and , .
(ⅰ) Assume that
with sufficiently small. Then problem (8.1) admits a solution for any , in the sense of Definition 8.1. Moreover, for any one has and there exists a constant such that, one has
where
(ⅱ) Let and
for small enough. Then there exists a constant such that
where
(ⅲ) Finally, for any , if and
with sufficiently small, then
Theorem 8.3. Let be a complete, noncompact manifold of infinite volume and of dimension , such that the Sobolev inequality (8.2) holds. Let , and , where has been defined in (8.4). Assume that
with sufficiently small. Then problem (8.1) admits a solution for any , in the sense of Definition 8.1. Moreover, for any one has and there exists a constant such that, one has
Moreover, the statements in (ⅱ) and (ⅲ) of Theorem 8.2 hold.
In the next theorem, we address the case that , supposing that both the inequalities (8.2) and (8.3) hold on .
Theorem 8.4. Let be a complete, noncompact manifold of infinite volume and of dimension , such that the Sobolev inequality (8.2) and the Poincaré inequality (8.3) hold. Let
and where , . Assume that
holds with sufficiently small. Then problem (8.1) admits a solution for any , in the sense of Definition 8.1. Moreover for any and for any one has and for all one has
where
Moreover, let and
for some sufficiently small. Then there exists a constant such that
where
Finally, for any , if and
for some sufficiently small, then
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] |
S. Wu, Z. Wang, B. Shen, J. Wang, D. Li, Human-computer interaction based on machine vision of a smart assembly workbench, Assem. Autom., 40 (2020), 475–482. https://doi.org/10.1108/AA-10-2018-0170 doi: 10.1108/AA-10-2018-0170
![]() |
[2] |
B. Debnath, M. O'brien, M. Yamaguchi, A. Behera, A review of computer vision-based approaches for physical rehabilitation and assessment, Multimedia Syst., 28 (2022), 209–239. https://doi.org/10.1007/s00530-021-00815-4 doi: 10.1007/s00530-021-00815-4
![]() |
[3] |
N. Lyons, Deep learning-based computer vision algorithms, immersive analytics and simulation software, and virtual reality modeling tools in digital twin-driven smart manufacturing, Econ. Manage. Financ. Mark., 17 (2022), 67–81. https://doi.org/10.22381/emfm17220224 doi: 10.22381/emfm17220224
![]() |
[4] |
Q. Kha, Q. Ho, N. Q. K. Le, Identifying snare proteins using an alignment-free method based on multiscan convolutional neural network and PSSM profiles, J. Chem. Inf. Model., 62 (2022), 4820–4826. https://doi.org/10.1021/acs.jcim.2c01034 doi: 10.1021/acs.jcim.2c01034
![]() |
[5] |
Z. Zhao, J. Gui, A. Yao, N. Q. K. Le, M. C. H. Chua, Improved prediction model of protein and peptide toxicity by integrating channel attention into a convolutional neural network and gated recurrent units, ACS Omega, 7 (2022), 40569–40577. https://doi.org/10.1021/acsomega.2c05881 doi: 10.1021/acsomega.2c05881
![]() |
[6] |
Z. Li, F. Liu, W. Yang, S. Peng, J. Zhou, A survey of convolutional neural networks: analysis, applications, and prospects, IEEE Trans. Neural Networks Learn. Syst., 33 (2022), 6999–7019. https://doi.org/10.1109/TNNLS.2021.3084827 doi: 10.1109/TNNLS.2021.3084827
![]() |
[7] | C. Zheng, S. Zhu, M. Mendieta, T. Yang, C. Chen, Z. Ding, 3D human pose estimation with spatial and temporal transformers, preprint, arXiv: 2103.10455. |
[8] | C. Li, G. H. Lee, Generating multiple hypotheses for 3D human pose estimation with mixture density network, in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2019), 9879–9887. https://doi.org/10.1109/CVPR.2019.01012 |
[9] | A. Toshev, C. Szegedy, Deeppose: Human pose estimation via deep neural networks, in 2014 IEEE Conference on Computer Vision and Pattern Recognition, (2014), 1653–1660. https://doi.org/10.1109/CVPR.2014.214 |
[10] | J. Tompson, A. Jain, Y. LeCun, C. Bregler, Joint training of a convolutional network and a graphical model for human pose estimation, preprint, arXiv: 1406.2984. |
[11] | S. Wei, V. Ramakrishna, T. Kanade, Y. Sheikh, Convolutional pose machines, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2016), 4724–4732. https://doi.org/10.1109/CVPR.2016.511 |
[12] |
Y. Chen, Y. Tian, M. He, Monocular human pose estimation: A survey of deep learning-based methods, Comput. Vision Image Understanding, 192 (2020), 102897. https://doi.org/10.1016/j.cviu.2019.102897 doi: 10.1016/j.cviu.2019.102897
![]() |
[13] |
C. Zheng, W. Wu, C. Chen, T. Yang, S. Zhu, J. Shen, et al., Deep learning-based human pose estimation: A survey, ACM Comput. Surv., 56 (2023), 1–37. https://doi.org/10.1145/3603618 doi: 10.1145/3603618
![]() |
[14] | G. Papandreou, T. Zhu, N. Kanazawa, A. Toshev, J. Tompson, C. Bregler, et al., Towards accurate multi-person pose estimation in the wild, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2017), 4903–4911. https://doi.org/10.1109/CVPR.2017.395 |
[15] |
S. Ren, K. He, R. Girshick, J. Sun, Faster R-CNN: Towards real-time object detection with region proposal networks, IEEE Trans. Pattern Anal. Mach. Intell., 39 (2017), 1137–1149. https://doi.org/10.1109/tpami.2016.2577031 doi: 10.1109/tpami.2016.2577031
![]() |
[16] | K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2016), 770–778. https://doi.org/10.1109/CVPR.2016.90 |
[17] | K. Sun, B. Xiao, D. Liu, J. Wang, Deep high-resolution representation learning for human pose estimation, in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2019), 5693–5703. https://doi.org/10.1109/CVPR.2019.00584 |
[18] | L. Pishchulin, E. Insafutdinov, S. Tang, B. Andres, M. Andriluka, P. Gehler, et al., Deepcut: Joint subset partition and labeling for multi person pose estimation, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2016), 4929–4937. https://doi.org/10.1109/CVPR.2016.533 |
[19] | Z. Cao, T. Simon, S. Wei, Y. Sheikh, Realtime multi-person 2D pose estimation using part affinity fields, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2017), 1302–1310. https://doi.org/10.1109/CVPR.2017.143 |
[20] | F. Zhang, X. Zhu, M. Ye, Fast human pose estimation, in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2019), 3512–3521. https://doi.org/10.1109/CVPR.2019.00363 |
[21] |
D. Xu, R. Zhang, L. Guo, C. Feng, S. Gao, LDNet: Lightweight dynamic convolution network for human pose estimation, Adv. Eng. Inf., 54 (2022), 101785. https://doi.org/10.1016/j.aei.2022.101785 doi: 10.1016/j.aei.2022.101785
![]() |
[22] | C. Yu, B. Xiao, C. Gao, L. Yuan, L. Zhang, N. Sang, et al., Lite-HRNet: A lightweight high-resolution network, in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021), 10435–10445. https://doi.org/10.1109/CVPR46437.2021.01030 |
[23] | S. Woo, J. Park, J. Lee, I. S. Kweon, Cbam: Convolutional block attention module, in European Conference on Computer Vision, 11211 (2018), 3–19. https://doi.org/10.1007/978-3-030-01234-2_1 |
[24] | A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, et al., MobileNets: Efficient convolutional neural networks for mobile vision applications, preprint, arXiv: 1704.04861. |
[25] | K. Han, Y. Wang, Q. Tian, J. Guo, C. Xu, C. Xu, Ghostnet: More features from cheap operations, in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2020), 1577–1586. https://doi.org/10.1109/CVPR42600.2020.00165 |
[26] | M. Andriluka, L. Pishchulin, P. Gehler, B. Schiele, 2D human pose estimation: New benchmark and state of the art analysis, in 2014 IEEE Conference on Computer Vision and Pattern Recognition, (2014), 3686–3693. https://doi.org/10.1109/CVPR.2014.471 |
[27] | N. Ma, X. Zhang, H. Zheng, J. Sun, Shufflenet v2: Practical guidelines for efficient cnn architecture design, in European Conference on Computer Vision, 11218 (2018), 122–138. https://doi.org/10.1007/978-3-030-01264-9_8 |
[28] | M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, L. Chen, Mobilenetv2: Inverted residuals and linear bottlenecks, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, (2018), 4510–4520. https://doi.org/10.1109/CVPR.2018.00474 |
[29] | M Tan, Q. V. Le, Efficientnet: Rethinking model scaling for convolutional neural networks, preprint, arXiv: 1905.11946. |
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