In this article, estimation of the parameters as well as some lifetime parameters such as reliability and hazard rate functions for the Dagum distribution based on record statistics is obtained. Both Bayesian and non-Bayesian inferential approaches of the distribution parameters and reliability characteristics are discussed. Moreover, approximate confidence intervals for the parameters based on the asymptotic distribution of the maximum likelihood estimators are constructed. Besides, to construct the variances of the reliability and hazard rate functions the delta method is implemented. The Lindley's approximation and Markov chain Monte Carlo techniques are proposed to construct the Bayes estimates. To this end, the results of the Bayes estimates are obtained under both symmetric and asymmetric loss functions. Also, the corresponding highest posterior density credible intervals are constructed. A simulation study is utilized to assay and evaluate the performance of the proposed inferential approaches. Finally, a real data set of COVID-19 mortality rate is analyzed to illustrate the proposed methods of estimation.
Citation: Rashad M. EL-Sagheer, Mohamed S. Eliwa, Khaled M. Alqahtani, Mahmoud El-Morshedy. Bayesian and non-Bayesian inferential approaches under lower-recorded data with application to model COVID-19 data[J]. AIMS Mathematics, 2022, 7(9): 15965-15981. doi: 10.3934/math.2022873
[1] | Chao Shi . Existence of stable standing waves for the nonlinear Schrödinger equation with mixed power-type and Choquard-type nonlinearities. AIMS Mathematics, 2022, 7(3): 3802-3825. doi: 10.3934/math.2022211 |
[2] | Yali Meng . Existence of stable standing waves for the nonlinear Schrödinger equation with attractive inverse-power potentials. AIMS Mathematics, 2022, 7(4): 5957-5970. doi: 10.3934/math.2022332 |
[3] | Meixia Cai, Hui Jian, Min Gong . Global existence, blow-up and stability of standing waves for the Schrödinger-Choquard equation with harmonic potential. AIMS Mathematics, 2024, 9(1): 495-520. doi: 10.3934/math.2024027 |
[4] | Jiayin Liu . On stability and instability of standing waves for the inhomogeneous fractional Schrodinger equation. AIMS Mathematics, 2020, 5(6): 6298-6312. doi: 10.3934/math.2020405 |
[5] | Qiuying Li, Xiaoxiao Zheng, Zhenguo Wang . Orbital stability of periodic standing waves of the coupled Klein-Gordon-Zakharov equations. AIMS Mathematics, 2023, 8(4): 8560-8579. doi: 10.3934/math.2023430 |
[6] | Mohammad Alqudah, Manoj Singh . Applications of soliton solutions of the two-dimensional nonlinear complex coupled Maccari equations. AIMS Mathematics, 2024, 9(11): 31636-31657. doi: 10.3934/math.20241521 |
[7] | Aly R. Seadawy, Bayan Alsaedi . Contraction of variational principle and optical soliton solutions for two models of nonlinear Schrödinger equation with polynomial law nonlinearity. AIMS Mathematics, 2024, 9(3): 6336-6367. doi: 10.3934/math.2024309 |
[8] | Yanxia Hu, Qian Liu . On traveling wave solutions of a class of KdV-Burgers-Kuramoto type equations. AIMS Mathematics, 2019, 4(5): 1450-1465. doi: 10.3934/math.2019.5.1450 |
[9] | Lingxiao Li, Jinliang Zhang, Mingliang Wang . The travelling wave solutions of nonlinear evolution equations with both a dissipative term and a positive integer power term. AIMS Mathematics, 2022, 7(8): 15029-15040. doi: 10.3934/math.2022823 |
[10] | Lulu Tao, Rui He, Sihua Liang, Rui Niu . Existence and multiplicity of solutions for critical Choquard-Kirchhoff type equations with variable growth. AIMS Mathematics, 2023, 8(2): 3026-3048. doi: 10.3934/math.2023156 |
In this article, estimation of the parameters as well as some lifetime parameters such as reliability and hazard rate functions for the Dagum distribution based on record statistics is obtained. Both Bayesian and non-Bayesian inferential approaches of the distribution parameters and reliability characteristics are discussed. Moreover, approximate confidence intervals for the parameters based on the asymptotic distribution of the maximum likelihood estimators are constructed. Besides, to construct the variances of the reliability and hazard rate functions the delta method is implemented. The Lindley's approximation and Markov chain Monte Carlo techniques are proposed to construct the Bayes estimates. To this end, the results of the Bayes estimates are obtained under both symmetric and asymmetric loss functions. Also, the corresponding highest posterior density credible intervals are constructed. A simulation study is utilized to assay and evaluate the performance of the proposed inferential approaches. Finally, a real data set of COVID-19 mortality rate is analyzed to illustrate the proposed methods of estimation.
Gradient estimates are very powerful tools in geometric analysis. In 1970s, Cheng-Yau [3] proved a local version of Yau's gradient estimate (see [25]) for the harmonic function on manifolds. In [16], Li and Yau introduced a gradient estimate for positive solutions of the following parabolic equation,
(Δ−q(x,t)−∂t)u(x,t)=0, | (1.1) |
which was known as the well-known Li-Yau gradient estimate and it is the main ingredient in the proof of Harnack-type inequalities. In [10], Hamilton proved an elliptic type gradient estimate for heat equations on compact Riemannian manifolds, which was known as the Hamilton's gradient estimate and it was later generalized to the noncompact case by Kotschwar [15]. The Hamilton's gradient estimate is useful for proving monotonicity formulas (see [9]). In [22], Souplet and Zhang derived a localized Cheng-Yau type estimate for the heat equation by adding a logarithmic correction term, which is called the Souplet-Zhang's gradient estimate. After the above work, there is a rich literature on extensions of the Li-Yau gradient estimate, Hamilton's gradient estimate and Souplet-Zhang's gradient estimate to diverse settings and evolution equations. We only cite [1,8,11,12,18,19,24,28,31] here and one may find more references therein.
An important generalization of the Laplacian is the following diffusion operator
ΔV⋅=Δ+⟨V,∇⋅⟩ |
on a Riemannian manifold (M,g) of dimension n, where V is a smooth vector field on M. Here ∇ and Δ are the Levi-Civita connenction and Laplacian with respect to metric g, respectively. The V-Laplacian can be considered as a special case of V-harmonic maps introduced in [5]. Recall that on a complete Riemannian manifold (M,g), we can define the ∞-Bakry-Émery Ricci curvature and m-Bakry-Émery Ricci curvature as follows [6,20]
RicV=Ric−12LVg, | (1.2) |
RicmV=RicV−1m−nV⊗V, | (1.3) |
where m≥n is a constant, Ric is the Ricci curvature of M and LV denotes the Lie derivative along the direction V. In particular, we use the convention that m=n if and only if V≡0. There have been plenty of gradient estimates obtained not only for the heat equation, but more generally, for other nonlinear equations concerning the V-Laplacian on manifolds, for example, [4,13,20,27,32].
In [7], Chen and Zhao proved Li-Yau type gradient estimates and Souplet-Zhang type gradient estimates for positive solutions to a general parabolic equation
(ΔV−q(x,t)−∂t)u(x,t)=A(u(x,t)) | (1.4) |
on M×[0,T] with m-Bakry-Émery Ricci tensor bounded below, where q(x,t) is a function on M×[0,T] of C2 in x-variables and C1 in t-variable, and A(u) is a function of C2 in u. In the present paper, by studying the evolution of quantity u13 instead of lnu, we derive localised Hamilton type gradient estimates for |∇u|√u. Most previous studies cited in the paper give the gradient estimates for |∇u|u. The main theorems are below.
Theorem 1.1. Let (Mn,g) be a complete Riemannian manifold with
RicmV≥−(m−1)K1 |
for some constant K1>0 in B(¯x,ρ), some fixed point ¯x in M and some fixed radius ρ. Assume that there exists a constant D1>0 such that u∈(0,D1] is a smooth solution to the general parabolic Eq (1.4) in Q2ρ,T1−T0=B(¯x,2ρ)×[T0,T1], where T1>T0. Then there exists a universal constant c(n) that depends only on n so that
|∇u|√u≤c(n)√D1((m−1)√K1ρ+2m−1ρ2+1t−T0+maxQρ,T1−T0|∇q|23)12+3√D1((m−1)K1+maxQρ,T1−T0|q|2−min{0,minQρ,T1−T0(A′(u)−A(u)2u)})12 | (1.5) |
in Qρ2,T1−T0 with t≠T0.
Remark 1.1. Hamilton [10] first got this gradient estimate for the heat equation on a compact manifold. We also have Hamilton type estimates if we assume that RicV≥−(m−1)K1 for some constant K1>0, and notice that RicV≥−(m−1)K1 is weak than RicmV≥−(m−1)K1. Since we do not have a good enough V-Laplacian comparison for general smooth vector field V, we need the condition that |V| is bounded in this case. Nevertheless, when V=∇f, we can use the method given in [23] to obtain all results in this paper, without assuming that |V| is bounded.
If q=0 and A(u)=aulnu, where a is a constant, then following the proof of Theorem 1.1 we have
Corollary 1.2. Let (Mn,g) be a complete Riemannian manifold with
RicmV≥−(m−1)K1 |
for some constant K1>0 in B(¯x,ρ), some fixed point ¯x in M and some fixed radius ρ. Assume that u is a positive smooth solution to the equation
∂tu=ΔVu−aulnu | (1.6) |
in Q2ρ,T1−T0=B(¯x,2ρ)×[T0,T1], where T1>T0.
(1) When a>0, assuming that 1≤u≤D1 in Q2ρ,T1−T0, there exists a constant c=c(n) such that
|∇u|√u≤c√D1(4√(m−1)2K1ρ2+√2m−1ρ+1√t−T0+|2(m−1)K1−2a|12) | (1.7) |
in Qρ2,T1−T0 with t≠T0.
(2) When a<0, assuming that 0<u≤D1 in Q2ρ,T1−T0, there exists a constant c=c(n) such that
|∇u|√u≤c√D1(4√(m−1)2K1ρ2+√2m−1ρ+1√t−T0+|2(m−1)K1−a(2+lnD1)|12) | (1.8) |
in Qρ2,T1−T0 with t≠T0.
Using the corollary, we get the following Liouville type result.
Corollary 1.3. Let (Mn,g) be a complete Riemannian manifold with RicmV≥−(m−1)K1 for some constant K1>0. Assume that u is a positive and bounded solution to the Eq (1.6) and u is independent of time.
(1) When a>0, assume that 1≤u≤D1. If a=(m−1)K1, then u≡1.
(2) When a<0, assume that 0<u≤exp{−2+2(m−1)K1a}, then u does not exist.
Remark 1.2. When V=0, ΔV and RicmV become Δ and Ric, respectively. It is clear that Corollary 1.2–1.3 generalize Theorem 1.3 and Corollary 1.1 in [14].
We can obtain a global estimate from Theorem 1.1 by taking ρ→0.
Corollary 1.4. Let (Mn,g) be a complete Riemannian manifold with RicmV≥−(m−1)K1 for some constant K1>0. u is a positive smooth solution to the general parabolic Eq (1.4) on Mn×[T0,T1]. Suppose that u≤D1 on Mn×[T0,T1]. We also suppose that
|A′(u)−A(u)2u|≤D2,|q|2≤D3,|∇q|23≤D4 |
on Mn×[T0,T1]. Then there exists a universal constant c that depends only on n so that
|∇u|√u≤c(n)√D1(1t−T0+D4)12+3√D1((m−1)K1+D3+D2)12 | (1.9) |
in Mn×[T0,T1] with t≠T0.
Let A(u)=a(u(x,t))β in Corollary 1.4, we obtain Hamilton type gradient estimates for bounded positive solutions of the equation
(ΔV−q(x,t)−∂t)u(x,t)=a(u(x,t))β,a∈R,β∈(−∞,0]∪[12,+∞). | (1.10) |
Corollary 1.5. Let (Mn,g) be a complete Riemannian manifold with RicmV≥−(m−1)K1 for some constant K1>0. u is a positive smooth solution to (1.10) on Mn×[T0,T1]. Suppose that u≤D1 on Mn×[T0,T1]. We also suppose that
|q|2≤D3,|∇q|23≤D4 |
on Mn×[T0,T1]. Then in Mn×[T0,T1] with t≠T0, there exists a universal constant c that depends only on n so that
|∇u|√u≤c(n)√D1(1t−T0+D4)12+3√D1((m−1)K1+D3+Λ0)12, | (1.11) |
where
Λ0={0,a≥0,β≥12,−a(β−12)Dβ−11,a≤0,β≥12,0,a≤0,β≤0,a(12−β)(minMn×[T0,T1]u)β−1,a≥0,β≤0. |
In the next part, our result concerns gradient estimates for positive solutions of
(Δt−q(x,t)−∂t)u(x,t)=A(u(x,t)) | (1.12) |
on (Mn,g(t)) with the metric evolving under the geometric flow:
∂∂tg(t)=2S(t), | (1.13) |
where Δt depends on t and it denotes the Laplacian of g(t), and S(t) is a symmetric (0,2)-tensor field on (Mn,g(t)). In [31], Zhao proved localised Li-Yau type gradient estimates and Souplet-Zhang type gradient estimates for positive solutions of (1.12) under the geometric flow (1.13). In this paper, we have the following localised Hamilton type gradient estimates for positive solutions to the general parabolic Eq (1.12) under the geometric flow (1.13).
Theorem 1.6. Let (Mn,g(t))t∈[0,T] be a complete solution to the geometric flow (1.13) on Mn with
Ricg(t)≥−K2g(t),|Sg(t)|g(t)≤K3 |
for some K2, K3>0 on Qρ,T=B(¯x,ρ)×[0,T]. Assume that there exists a constant L1>0 such that u∈(0,L1] is a smooth solution to the general parabolic Eq (1.12) in Q2ρ,T. Then there exists a universal constant c(n) that depends only on n so that
|∇u|√u≤c(n)√L1(√K2ρ+1ρ2+1t+K3+maxQρ,T|∇q|23)12+3√L1(K2+K3+maxQρ,T|q|2−min{0,minQρ,T(A′(u)−A(u)2u)})12 | (1.14) |
in Qρ2,T.
Remark 1.3. Recently, some Hamilton type estimates have been achieved to positive solutions of
(Δt−q−∂t)u=au(lnu)α |
under the Ricci flow in [26], and for
(Δt−q−∂t)u=pub+1 |
under the Yamabe flow in [29], where p, q∈C2,1(Mn×[0,T]), b is a positive constant and a,α are real constants. Our results generalize many previous well-known gradient estimate results.
The paper is organized as follows. In Section 2, we provide a proof of Theorem 1.1 and a proof of Corollary 1.3 and Corollary 1.5. In Section 3, we study gradient estimates of (1.12) under the geometric flow (1.13) and give a proof of Theorem 1.6.
We first give some notations for the convenience of writing throughout the paper. Let h:=u13 and ˆA(h):=A(u)3u23. Then ˆAh=A′(u)−2A(u)3u. To prove Theorem 1.1 we need two basic lemmas. First, we derive the following lemma.
Lemma 2.1. Let (Mn,g) be a complete Riemannian manifold with RicmV≥−(m−1)K1 for some constant K1>0. u is a positive smooth solution to the general parabolic Eq (1.4) in Q2ρ,T1−T0. If h:=u13, and μ:=h⋅|∇h|2, then we have
(ΔV−∂t)μ≥4h−3μ2−2h−1⟨∇h,∇μ⟩−2(m−1)K1μ+qμ−23h32|∇q|√μ+2ˆAhμ+h−1ˆA(h)μ. | (2.1) |
Proof. Since h:=u13, by a simple computation, we can derive the following equation from (1.4):
(ΔV−∂t)h=−2h−1|∇h|2+qh3+ˆA(h). | (2.2) |
By direct computations, we have
∇iμ=|∇h|2∇ih+2h∇i∇jh∇jh, |
and
ΔVμ=Δμ+⟨V,∇μ⟩=2h|∇2h|2+2h∇i∇i∇jh∇jh+4∇2h(∇h,∇h)+|∇h|2Δh+2h∇i∇jh∇jhVi+⟨V,∇h⟩|∇h|2=2h|∇2h|2+2h⟨∇Δh,∇h⟩+2hRic(∇h,∇h)+4∇2h(∇h,∇h)+|∇h|2ΔVh+2h∇i∇jh∇jhVi=2h|∇2h|2+2h⟨∇Δh,∇h⟩+2hRicV(∇h,∇h)+2h∇jVi∇ih∇jh+4∇2h(∇h,∇h)+|∇h|2ΔVh+2h∇i∇jh∇jhVi=2h|∇2h|2+2h⟨∇ΔVh,∇h⟩−2h(∇jVi∇ih∇jh+∇i∇jh∇jhVi)+2hRicV(∇h,∇h)+2h∇jVi∇ih∇jh+4∇2h(∇h,∇h)+|∇h|2ΔVh+2h∇i∇jh∇jhVi=2h|∇2h|2+2h⟨∇ΔVh,∇h⟩+2hRicV(∇h,∇h)+4∇2h(∇h,∇h)+|∇h|2ΔVh. | (2.3) |
By the following fact:
0≤(√m−nmnΔh−√nm(m−n)⟨∇h,V⟩)2=(1n−1m)(Δh)2−2m⟨∇h,V⟩Δh+(1m−n−1m)⟨∇h,V⟩2=1n(Δh)2−1m((Δh)2+2⟨∇h,V⟩Δh+⟨∇h,V⟩2)+1m−n⟨∇h,V⟩2≤|∇2h|2−1m(ΔVh)2+1m−n⟨∇h,V⟩2, |
it yields
|∇2h|2≥1m(ΔVh)2−1m−n⟨∇h,V⟩2. | (2.4) |
Plugging (2.4) into (2.3), we have
ΔVμ≥2h(1m(ΔVh)2−1m−n⟨∇h,V⟩2)+2h⟨∇ΔVh,∇h⟩+2hRicV(∇h,∇h)+4∇2h(∇h,∇h)+|∇h|2ΔVh=2mh(ΔVh)2+2hRicmV(∇h,∇h)+2h⟨∇ΔVh,∇h⟩+4∇2h(∇h,∇h)+|∇h|2ΔVh. | (2.5) |
The partial derivative of μ with respect to t is given by
∂tμ=|∇h|2∂th+2h∇i(∂th)∇ih=|∇h|2∂th+2h∇i(ΔVh+2h−1|∇h|2−qh3−ˆA(h))∇ih=|∇h|2∂th+2h⟨∇ΔVh,∇h⟩+8∇2h(∇h,∇h)−4h−1|∇h|4−2qh|∇h|23−2h2⟨∇q,∇h⟩3−2hˆAh|∇h|2. | (2.6) |
It follows from (2.2), (2.5) and (2.6) that
(ΔV−∂t)μ=2mh(ΔVh)2+2hRicmV(∇h,∇h)−4∇2h(∇h,∇h)+|∇h|2(ΔV−∂t)h+4h−1|∇h|4+2qh3|∇h|2+2h2⟨∇q,∇h⟩3+2hˆAh|∇h|2=2mh(ΔVh)2+2hRicmV(∇h,∇h)−4∇2h(∇h,∇h)+|∇h|2(−2h−1|∇h|2+qh3+ˆA(h))+4h−1|∇h|4+2qh3|∇h|2+2h2⟨∇q,∇h⟩3+2hˆAh|∇h|2=2mh(ΔVh)2+2hRicmV(∇h,∇h)−4∇2h(∇h,∇h)+2h−1|∇h|4+qh|∇h|2+2h2⟨∇q,∇h⟩3+2hˆAh|∇h|2+ˆA(h)|∇h|2≥−2(m−1)K1h|∇h|2−4∇2h(∇h,∇h)+2h−1|∇h|4+qh|∇h|2+2h2⟨∇q,∇h⟩3+2hˆAh|∇h|2+ˆA(h)|∇h|2. | (2.7) |
Note that
−4∇2h(∇h,∇h)=2h−1|∇h|4−2h−1⟨∇h,∇(h|∇h|2)⟩=2h−3μ2−2h−1⟨∇h,∇μ⟩. | (2.8) |
Therefore,
(ΔV−∂t)μ≥−2(m−1)K1h|∇h|2+4h−3μ2−2h−1⟨∇h,∇μ⟩+qh|∇h|2+2h2⟨∇q,∇h⟩3+2hˆAh|∇h|2+ˆA(h)|∇h|2≥−2(m−1)K1μ+4h−3μ2−2h−1⟨∇h,∇μ⟩+qμ−23h32|∇q|√μ+2ˆAhμ+h−1ˆA(h)μ, | (2.9) |
which is the desired estimate.
The following cut-off function will be used in the proof of Theorem 1.1 (see [2,16,22,30]).
Lemma 2.2. Fix T0, T1∈R and T0<T1. Given τ∈(T0,T1], there exists a smooth function ¯Ψ:[0,+∞)×[T0,T1]→R satisfying the following requirements.
1). The support of ¯Ψ(s,t) is a subset of [0,ρ]×[T0,T1], and 0≤¯Ψ≤1 in [0,ρ]×[T0,T1].
2). The equalities ¯Ψ(s,t)=1 in [0,ρ2]×[τ,T1] and ∂¯Ψ∂s(s,t)=0 in [0,ρ2]×[T0,T1].
3). The estimate |∂t¯Ψ|≤¯Cτ−T0¯Ψ12 is satisfied on [0,+∞]×[T0,T1] for some ¯C>0, and ¯Ψ(s,T0)=0 for all s∈[0,+∞).
4). The inequalities −Cb¯Ψbρ≤∂¯Ψ∂s≤0 and |∂2¯Ψ∂s2|≤Cb¯Ψbρ2 hold on [0,+∞]×[T0,T1] for every b∈(0,1) with some constant Cb that depends on b.
Throughout this section, we employ the cut-off function Ψ:Mn×[T0,T1]→R by
Ψ(x,t)=¯Ψ(r(x),t), |
where r(x):=d(x,¯x) is the distance function from some fixed point ¯x∈Mn.
From Lemma 2.1, we have
(ΔV−∂t)(Ψμ)=μ(ΔV−∂t)Ψ+Ψ(ΔV−∂t)μ+2⟨∇μ,∇Ψ⟩≥μ(ΔV−∂t)Ψ+2⟨∇μ,∇Ψ⟩−2Ψh−1⟨∇h,∇μ⟩+Ψ[−2(m−1)K1μ+4h−3μ2−23h32|∇q|√μ+qμ+2ˆAhμ+h−1ˆA(h)μ]=μ(ΔV−∂t)Ψ+2Ψ⟨∇Ψ,∇(Ψμ)⟩−2|∇Ψ|2Ψμ−2h−1⟨∇h,∇(Ψμ)⟩+2h−1μ⟨∇h,∇Ψ⟩+Ψ[−2(m−1)K1μ+4h−3μ2−23h32|∇q|√μ+qμ+2ˆAhμ+h−1ˆA(h)μ]. | (2.10) |
For fixed τ∈(T0,T1], let (x1,t1) be a maximum point for Ψμ in Qρ,τ−T0. Obviously at (x1,t1), we have the following facts: ∇(Ψμ)=0, ΔV(Ψμ)≤0, and ∂t(Ψμ)≥0. It follows from (2.10) that at such point
0≥h3μ(ΔV−∂t)Ψ−2h3|∇Ψ|2Ψμ−2h32μ32|∇Ψ|+Ψ[−2(m−1)K1h3μ+4μ2−23h92|∇q|√μ+qμh3+2h3ˆAhμ+h2ˆA(h)μ]. | (2.11) |
In other words, we have just proved that
4Ψμ2≤−h3μ(ΔV−∂t)Ψ+2h32μ32|∇Ψ|+23h92|∇q|√μΨ+2h3|∇Ψ|2Ψμ+Ψμ[2(m−1)K1h3−qh3−2h3ˆAh−h2ˆA(h)] | (2.12) |
at (x1,t1).
Next, to realize the theorem, it suffices to bound each term on the right-hand side of (2.12). To deal with ΔVΨ(x1,t1), we divide the arguments into two cases.
Case 1. If d(¯x,x1)<ρ2, then it follows from Lemma 2.2 that Ψ(x,t)=1 around (x1,t1) in the space direction. Therefore, ΔVΨ(x1,t1)=0.
Case 2. Suppose that d(¯x,x1)≥ρ2. Since RicmV≥−(m−1)K1, we can apply the generalized Laplace comparison theorem (see Corollary 3.2 in [20]) to get
ΔVr≤(m−1)√K1coth(√K1r)≤(m−1)(√K1+1r). |
Using the generalized Laplace comparison theorem and Lemma 2.2, we have
ΔVΨ=∂¯Ψ∂rΔVr+∂2¯Ψ∂r2|∇r|2≥−C1/2Ψ12ρ(m−1)(√K1+2ρ)−C1/2Ψ12ρ2 |
at (x1,t1), which agrees with Case 1. Therefore, we have
−h3μ(ΔV−∂t)Ψ=−uμ(ΔV−∂t)Ψ≤(C1/2Ψ12ρ(m−1)(√K1+2ρ)+C1/2Ψ12ρ2+¯CΨ12τ−T0)uμ≤cD1Ψ12μ((m−1)√K1ρ+2m−1ρ2+1τ−T0)≤12Ψμ2+cD21((m−1)√K1ρ+2m−1ρ2+1τ−T0)2 | (2.13) |
for some universal constant c>0. Here we used Lemma 2.2, 0≤Ψ≤1 and Cauchy's inequality.
On the other hand, by Young's inequality and Lemma 2.2, we obtain
2h32μ32|∇Ψ|=2Ψ34μ32u12|∇Ψ|Ψ34≤12Ψμ2+cD21|∇Ψ|4Ψ3≤12Ψμ2+cD211ρ4, | (2.14) |
23Ψh92|∇q|√μ=23Ψ14μ12u32Ψ34|∇q|≤12Ψμ2+cu2Ψ|∇q|43≤12Ψμ2+cD21Ψ|∇q|43, | (2.15) |
2|∇Ψ|2Ψh3μ=2|∇Ψ|2Ψ−32Ψ12uμ≤2D1|∇Ψ|2Ψ−32Ψ12μ≤12Ψμ2+cD21|∇Ψ|4Ψ3≤12Ψμ2+cD21ρ4 | (2.16) |
and
Ψμ[2(m−1)K1h3−qh3−2h3ˆAh−h2ˆA(h)]=Ψ12μΨ12u[2(m−1)K1−q−2ˆAh−h−1ˆA(h)]≤12Ψμ2+12Ψu2[2(m−1)K1−q−2ˆAh−h−1ˆA(h)]2≤12Ψμ2+D212Ψ[2(m−1)K1−q−2ˆAh−h−1ˆA(h)]2. | (2.17) |
Now, we plug (2.13)–(2.17) into (2.12) to get
(Ψμ)2(x1,t1)≤(Ψμ2)(x1,t1)≤cD21((m−1)√K1ρ+2m−1ρ2+1τ−T0+|∇q|23)2+D21((m−1)K1+|q|2−min{0,minQρ,T1−T0(ˆAh+12h−1ˆA(h))})2≤cD21((m−1)√K1ρ+2m−1ρ2+1τ−T0+maxQρ,T1−T0|∇q|23)2+D21((m−1)K1+maxQρ,T1−T0|q|2−min{0,minQρ,T1−T0(A′(u)−A(u)2u)})2. | (2.18) |
The finally, since Ψ(x,τ)=1 in B(¯x,ρ2), it follows from (2.18) that
μ(x,τ)≤Ψμ(x1,t1)≤cD1((m−1)√K1ρ+2m−1ρ2+1τ−T0+maxQρ,T1−T0|∇q|23)+D1((m−1)K1+maxQρ,T1−T0|q|2−min{0,minQρ,T1−T0(A′(u)−A(u)2u)}). | (2.19) |
Since τ∈(T0,T1] is arbitrary and μ=|∇u|29u, we have
|∇u|√u≤c√D1((m−1)√K1ρ+2m−1ρ2+1t−T0+maxQρ,T1−T0|∇q|23)12+3√D1((m−1)K1+maxQρ,T1−T0|q|2−min{0,minQρ,T1−T0(A′(u)−A(u)2u)})12 | (2.20) |
in Qρ2,T1−T0. We complete the proof.
Proof of Corollary 1.3.
(1) When a>0, for a=(m−1)K1, using the inequality (1.7), we have
|∇u|√u≤c√D1(4√(m−1)2K1ρ2+√2m−1ρ+1√t−T0). | (2.21) |
Letting ρ→+∞, t→+∞ in (2.21), we get u is a constant. Using ΔVu−aulnu=0, we get u=1.
(2) When a<0, for D1=exp{−2+2(m−1)K1a}, using the inequality (1.8), we have
|∇u|√u≤c√D1(4√(m−1)2K1ρ2+√2m−1ρ+1√t−T0). | (2.22) |
Letting ρ→+∞, t→+∞ in (2.22), we get u is a constant. Using ΔVu−aulnu=0, we get u=1, but 0<u≤D1=exp{−2+2(m−1)K1a}<1. So u does not exist.
Proof of Corollary 1.5.
Let
Λ:=−min{0,minMn×[T0,T1](a(β−12)uβ−1)}. |
From Corollary 1.4, we just have to compute Λ. By the definition, we have
Λ0={0,a≥0,β≥12,−a(β−12)Dβ−11,a≤0,β≥12,0,a≤0,β≤0,a(12−β)(minMn×[T0,T1]u)β−1,a≥0,β≤0. |
In this section, we consider positive solutions of the nonlinear parabolic Eq (1.12) on (Mn,g) with the metric evolving under the geometric flow (1.13). To prove Theorem 1.6, we follow the procedure used in the proof of Theorem 1.1.
We first derive a general evolution equation under the geometric flow.
Lemma 3.1. ([21]) Suppose the metric evolves by (1.13). Then for any smooth function f, we have
(|∇f|2)t=−2S(∇f,∇f)+2⟨∇f,∇(ft)⟩. |
Next, we derive the following lemma in the same fashion of Lemma 2.1.
Lemma 3.2. Let (Mn,g(t))t∈[0,T] be a complete solution to the geometric flow (1.13) and u be a smooth positive solution to the nonlinear parabolic Eq (1.12) in Q2ρ,T. Suppose that there exists positive constants K2 and K3, such that
Ricg(t)≥−K2g(t),|Sg(t)|g(t)≤K3 |
in Qρ,T. If h:=u13, and μ:=h⋅|∇h|2, then in Qρ,T, we have
(Δt−∂t)μ≥4h−3μ2−4h−1⟨∇h,∇μ⟩−23h32|∇q|√μ−2(K2+K3)μ+qμ+h−1ˆA(h)μ+2ˆAhμ. | (3.1) |
Proof. Since u is a solution to the nonlinear parabolic Eq (1.12), the function h=u13 satisfies
(Δt−∂t)h=−2h−1|∇h|2+qh3+ˆA(h). | (3.2) |
As in the proof of Lemma 2.1, we have that
Δtμ=2h|∇2h|2+2h⟨∇Δth,∇h⟩+2hRic(∇h,∇h)+4∇2h(∇h,∇h)+|∇h|2Δth. |
On the other hand, by the equation ∂tg(t)=2S(t), we have
∂tμ=|∇h|2∂th+2h∇i(∂th)∇ih−2hS(∇f,∇f)=|∇h|2∂th+2h∇i(Δth+2h−1|∇h|2−qh3−ˆA(h))∇ih−2hS(∇f,∇f)=|∇h|2∂th+2h⟨∇Δth,∇h⟩+8∇2h(∇h,∇h)−4h−1|∇h|4−2qh|∇h|23−2h2⟨∇q,∇h⟩3−2hˆAh|∇h|2−2hS(∇f,∇f). | (3.3) |
Therefore,
(Δt−∂t)μ=2h|∇2h|2−4∇2h(∇h,∇h)+2h−1|∇h|4+2h2⟨∇q,∇h⟩3+2hRic(∇h,∇h)+2hS(∇h,∇h)+qh|∇h|2+2hˆAh|∇h|2+ˆA(h)|∇h|2≥−8∇2h(∇h,∇h)−2h(K2+K3)|∇h|2−23h2|∇h||∇q|+(qh+2hˆAh+ˆA(h))|∇h|2=4h−3μ2−4h−1⟨∇h,∇μ⟩−23h32|∇q|√μ−2(K2+K3)μ+qμ+h−1ˆA(h)μ+2ˆAhμ, | (3.4) |
where we used (2.8), the assumption on bound of Ric+S and
h|∇2h|2+2∇2h(∇h,∇h)+h−1|∇h|4=|√h∇2h+dh⊗dh√h|2≥0. |
The proof is complete.
Finally, we employ the cut-off function Ψ:Mn×[T0,T1]→R, with T0=0, T1=T, by
Ψ(x,t)=¯Ψ(r(x,t),t), |
where r(x,t):=dg(t)(x,¯x) is the distance function from some fixed point ¯x∈Mn with respect to the metric g(t).
To prove Theorem 1.6, we follows the same procedure used previously to prove Theorem 1.1; hence in view of Lemma 3.2,
(Δt−∂t)(Ψμ)≥μ(Δt−∂t)Ψ+2Ψ⟨∇Ψ,∇(Ψμ)⟩−2|∇Ψ|2Ψμ−4h−1⟨∇h,∇(Ψμ)⟩+4h−1μ⟨∇h,∇Ψ⟩+Ψ[−2(K2+K3)μ+4h−3μ2−23h32|∇q|√μ+qμ+2ˆAhμ+h−1ˆA(h)μ]. | (3.5) |
For fixed τ∈(0,T], let (x2,t2) be a maximum point for Ψμ in Qρ,τ:=B(¯x,ρ)×[0,τ]⊂Qρ,T. It follows from (3.5) that at such point
0≥h3μ(Δt−∂t)Ψ−2h3|∇Ψ|2Ψμ−4h32μ32|∇Ψ|+Ψ[−2(K2+K3)μh3+4μ2−23h92|∇q|√μ+qμh3+2h3ˆAhμ+h2ˆA(h)μ]. | (3.6) |
At (x2,t2), making use of (3.6), we further obtain
4Ψμ2≤−h3μ(Δt−∂t)Ψ+4h32μ32|∇Ψ|+23h92|∇q|√μΨ+2h3|∇Ψ|2Ψμ+Ψμ[2(K2+K3)h3−qh3−2h3ˆAh−h2ˆA(h)]. | (3.7) |
Next, we need to bound each term on the right-hand side of (3.7). To deal with ΔtΨ(x2,t2), we divide the arguments into two cases:
Case 1: r(x2,t2)<ρ2. In this case, from Lemma 2.2, it follows that Ψ(x,t)=1 around (x2,t2) in the space direction. Therefore, Δt2Ψ(x2,t2)=0.
Case 2: r(x2,t2)≥ρ2. Since Ricg(t)≥−(n−1)K2, the Laplace comparison theorem (see [17]) implies that
Δtr≤(n−1)√K2coth(√K2r)≤(n−1)(√K2+1r). |
Then, it follows that
ΔtΨ=∂¯Ψ∂rΔtr+∂2¯Ψ∂r2|∇r|2≥−C1/2Ψ12ρ(n−1)(√K2+2ρ)−C1/2Ψ12ρ2 |
at (x2,t2), which agrees with Case 1.
Next, we estimate ∂tΨ. ∀x∈B(¯x,ρ), let γ:[0,a]→Mn be a minimal geodesic connecting x and ¯x at time t∈[0,T]. Then, we have
|∂tr(x,t)|g(t)=|∂ta∫0|˙γ(s)|g(t)ds|g(t)≤12a∫0||˙γ(s)|−1g(t)∂tg(˙γ(s),˙γ(s))|g(t)ds≤K3r(x,t)≤K3ρ. |
Thus, together with Lemma 2.2, we find that
∂tΨ≤|∂t¯Ψ|g(t)+|∇¯Ψ|g(t)|∂tr|g(t)≤¯CΨ1/2τ+C1/2K3Ψ1/2. | (3.8) |
Therefore, we have
−h3μ(Δt−∂t)Ψ=−uμ(Δt−∂t)Ψ≤(C1/2Ψ12ρ(n−1)(√K2+2ρ)+C1/2Ψ12ρ2+¯CΨ1/2τ+C1/2K3Ψ1/2)uμ≤cL1Ψ12μ(√K2ρ+1ρ2+1τ+K3)≤12Ψμ2+cL21(√K2ρ+1ρ2+1τ+K3)2 | (3.9) |
at (x2,t2) for some universal constant c>0 that depends only on n. By similar computations as in the proof of Theorem 1.1, we arrive at
4h32μ32|∇Ψ|≤Ψμ2+2cL211ρ4, | (3.10) |
23Ψh92|∇q|√μ≤12Ψμ2+cL21Ψ|∇q|43, | (3.11) |
2|∇Ψ|2Ψh3μ≤12Ψμ2+cL21ρ4 | (3.12) |
and
Ψμ[2(K2+K3)h3−qh3−2h3ˆAh−h2ˆA(h)]≤12Ψμ2+L212Ψ[2(K2+K3)+|q|−min{0,minQρ,T(2ˆAh+h−1ˆA(h))}]2. | (3.13) |
Plugging (3.9)–(3.13) into (3.6), we get
(Ψμ)2(x2,t2)≤(Ψμ2)(x2,t2)≤cL21(√K2ρ+1ρ2+1τ+K3+|∇q|23)2+L21(K2+K3+|q|2−min{0,minQρ,T(ˆAh+12h−1ˆA(h))})2≤cL21(√K2ρ+1ρ2+1τ+K3+maxQρ,T|∇q|23)2+L21(K2+K3+maxQρ,T|q|2−min{0,minQρ,T(A′(u)−A(u)2u)})2. | (3.14) |
Note that Ψ(x,τ)=1 when d(x,¯x)<ρ2, it follows from (2.18) that
μ(x,τ)≤Ψμ(x2,t2)≤cL1(√K2ρ+1ρ2+1τ+K3+maxQρ,T|∇q|23)+L1(K2+K3+maxQρ,T|q|2−min{0,minQρ,T(A′(u)−A(u)2u)}). | (3.15) |
Since τ∈(0,T] is arbitrary and μ=|∇u|29u, we have
|∇u|√u≤c√L1(√K2ρ+1ρ2+1τ+K3+maxQρ,T|∇q|23)12+3√L1(K2+K3+maxQρ,T|q|2−min{0,minQρ,T(A′(u)−A(u)2u)})12 | (3.16) |
in Qρ2,T.
We complete the proof.
Remark 3.1. We also obtain the corresponding applications similar to Corollary 1.4 and Corollary 1.5, which we will not write them down here.
The author would like to thank the referee for helpful suggestion which makes the paper more readable. This work was supported by NSFC (Nos. 11971415, 11901500), Henan Province Science Foundation for Youths (No.212300410235), and the Key Scientific Research Program in Universities of Henan Province (No.21A110021) and Nanhu Scholars Program for Young Scholars of XYNU (No. 2019).
The author declares no conflict of interest.
[1] |
K. N. Chandler, The distribution and frequency of record values, J. R. Stat. Soc. B, 14 (1952), 220–228. https://doi.org/10.1111/j.2517-6161.1952.tb00115.x doi: 10.1111/j.2517-6161.1952.tb00115.x
![]() |
[2] |
S. I. Resnick, Record values and maxima, Ann. Probab., 4 (1973), 650–662. https://doi.org/10.1214/aop/1176996892 doi: 10.1214/aop/1176996892
![]() |
[3] |
R. W. Shorrock, Record values and inter record times, J. Appl. Probab., 10 (1973), 543–555. https://doi.org/10.2307/3212775 doi: 10.2307/3212775
![]() |
[4] |
N. Glick, Breaking records and breaking boards, Am. Math. Mon., 85 (1978), 2–26. https://doi.org/10.1080/00029890.1978.11994501 doi: 10.1080/00029890.1978.11994501
![]() |
[5] | V. B. Nevzorov, Records, Theor. Probab. Appl., 32 (1987), 201–228. |
[6] |
H. N. Nagaraja, Record values and related statistics: A review, Commun. Stat. Theor. M., 17 (1988), 2223–2238. https://doi.org/10.1080/03610928808829743 doi: 10.1080/03610928808829743
![]() |
[7] | D. Kumar, Recurrence relations for marginal and joint moment generating functions of generalized logistic distribution based on lower k record values and its characterization, Prob. Stat. Forum, 5 (2012), 47–53. |
[8] |
M. A. W. Mahmoud, A. A. Soliman, A. H. Abd Ellah, R. M. EL-Sagheer, Markov chain Monte Carlo to study the estimation of the coefficient of variation, Int. J. Comput. Appl., 77 (2013), 31–37. https://doi.org/10.5120/13384-1000 doi: 10.5120/13384-1000
![]() |
[9] | D. Kumar, J. Saran, Ratio and inverse moments of record values from Marshall-Olkin log-logistic distribution, Pac. J. Appl. Math., 6 (2014), 103. |
[10] |
R. M. EL-Sagheer, Inferences for the generalized logistic distribution based on record statistics, Int. Inform. Manage., 6 (2014), 171–182. https://doi.org/10.4236/iim.2014.64018 doi: 10.4236/iim.2014.64018
![]() |
[11] | B. C. Arnold, N. Balakrishnan, H. N. Nagaraja, Records, New York: John Wiley & Sons, 1998. |
[12] | C. Dagum, A new model for personal income distribution: Specification and estimation, In: Modeling income distributions and Lorenz curves, New York: Springer, 2008. https://doi.org/10.1007/978-0-387-72796-7_1 |
[13] | C. Kleiber, S. Kotz, Statistical size distributions in economics and actuarial science, John Wiley & Sons, 2003. |
[14] | C. Kleiber, A guide to the Dagum distribution, In: Modeling income distributions and Lorenz curves series: Economic studies in inequality, New York: Springer, 2008. https://doi.org/10.1007/978-0-387-72796-7_6 |
[15] | F. Domma, G. Latorre, M. Zenga, The Dagum distribution in reliability analysis, Stat. Appl., 10 (2012), 97–113. |
[16] |
F. Domma, F. Condino, The Beta-Dagum distribution: Definition and properties, Commun. Stat. Theor. M., 42 (2013), 4070–4090. https://doi.org/10.1080/03610926.2011.647219 doi: 10.1080/03610926.2011.647219
![]() |
[17] |
R. Alotaibi, H. Rezk, S. Dey, H. Okasha, Bayesian estimation for Dagum distribution based on progressive type Ⅰ interval censoring, Plos One, 16 (2021), e0252556. https://doi.org/10.1371/journal.pone.0252556 doi: 10.1371/journal.pone.0252556
![]() |
[18] | A. Agresti, Categorical data analysis, John Wiley & Sons, 2003. |
[19] |
D. V. Lindley, Approximate Bayesian method, Trabajos Estad., 31 (1980), 223–237. https://doi.org/10.1007/BF02888353 doi: 10.1007/BF02888353
![]() |
[20] |
P. K. Singh, S. K. Singh, U. Singh, Bayes estimator of inverse Gaussian parameters under general entropy loss function using Lindley's approximation, Commun. Stat. Simul. C., 37 (2008), 1750–1762. https://doi.org/10.1080/03610910701884054 doi: 10.1080/03610910701884054
![]() |
[21] |
X. Ying, W. Gui, Statistical inference of the lifetime performance index with the Log-Logistic distribution based on progressive first-failure-censored data, Symmetry, 12 (2020), 937. https://doi.org/10.3390/sym12060937 doi: 10.3390/sym12060937
![]() |
[22] |
R. Kazemi, A. Kohansal, Stress-Strength parameter estimation based on Type-Ⅱ progressive censored samples for a Weibull-Half-Logistic distribution, Bull. Malays. Math. Sci. Soc., 44 (2021), 2531–2566. https://doi.org/10.1007/s40840-021-01081-3 doi: 10.1007/s40840-021-01081-3
![]() |
[23] |
W. K. Hastings, Monte Carlo sampling methods using Markov chains and their applications, Biometrika, 57 (1970), 97–109. https://doi.org/10.2307/2334940 doi: 10.2307/2334940
![]() |
[24] | L. Tierney, Markov chains for exploring posterior distributions with discussion, Ann. Stat., 22 (1994), 1701–1722. |
[25] |
H. M. Almongy, E. M. Almetwally, H. M. Aljohani, A. S. Alghamdi, E. H. Hafez, A new extended Rayleigh distribution with applications of COVID-19 data, Results Phys., 23 (2021), 104012. https://doi.org/10.1016/j.rinp.2021.104012 doi: 10.1016/j.rinp.2021.104012
![]() |
1. | Chao Shi, Existence of stable standing waves for the nonlinear Schrödinger equation with mixed power-type and Choquard-type nonlinearities, 2022, 7, 2473-6988, 3802, 10.3934/math.2022211 | |
2. | Qiuying Li, Xiaoxiao Zheng, Zhenguo Wang, Orbital stability of periodic standing waves of the coupled Klein-Gordon-Zakharov equations, 2023, 8, 2473-6988, 8560, 10.3934/math.2023430 | |
3. | Jianlun Liu, Ziheng Zhang, Rui Guo, Ground state normalized solutions to Schrödinger equation with inverse-power potential and HLS lower critical Hartree-type nonlinearity, 2025, 44, 2238-3603, 10.1007/s40314-025-03131-z |