# Critical extinction exponents for a fast diffusion equation with nonlocal source and absorption

- Haixia Li
^{1}and - Yuzhu Han
^{1}Email author

**2014**:24

https://doi.org/10.1186/1687-2770-2014-24

© Li and Han; licensee Springer. 2014

**Received: **22 August 2013

**Accepted: **10 January 2014

**Published: **30 January 2014

## Abstract

In this article, the authors apply the super-solution and sub-solution methods, instead of energy estimate methods, to investigate the critical extinction exponents for a fast diffusion equation with a nonlocal source and an absorption term. They give a classification of the exponents and coefficients for the solutions to vanish in finite time or not, which improve, in some sense, the results by Xu *et al.* (Bound. Value Probl. 2013:24 2013) and by Han *et al.* (Arch. Math. 97:353-363, 2011).

**MSC:**35K55, 35K57.

## Keywords

## 1 Introduction

where $0<m<1$, $a,b,q,r>0$, Ω is a bounded domain in ${R}^{N}$ ($N\ge 1$) with smooth boundary *∂* Ω, and ${u}_{0}\in {L}^{\mathrm{\infty}}(\mathrm{\Omega})$ is a nonnegative nontrivial function.

The equation in (1.1) is a fast diffusion equation perturbed by both a nonlocal source term and an absorption term, which describes the diffusion of concentration of some Newtonian fluids or the density of some biological species (see [1, 2] and the references therein). What we are interested in here is the extinction in finite time of the nonnegative solutions $u(x,t)$ of (1.1), *i.e.* there exists a finite time $T>0$ such that the solution is nontrivial for $0<t<T$, but $u(x,t)\equiv 0$ for almost every $(x,t)\in \mathrm{\Omega}\times [T,\mathrm{\infty})$. In this case, *T* is called the extinction time. As one of the most important properties of solutions of evolutionary equations, extinction in finite time of solutions has been intensively studied by several authors (see [3–16] and the references therein). In particular, in a recent paper by Xu *et al.* [13], the authors investigated the extinction and non-extinction phenomena of solutions of Problem (1.1) and obtained the following result.

**Theorem 1.1** (Theorems 1-3 in [13])

*Suppose* $N\ge 1$. *If* $0<r<1$ *and* $0<m=q<1$, *then the nonnegative nontrivial weak solution of Problem* (1.1) *vanishes in finite time for any nonnegative initial data provided that either* $|\mathrm{\Omega}|$ *or* *a* *is sufficiently small*; *If* $0<r<1$, *then the nonnegative nontrivial weak solution of Problem* (1.1) *vanishes in finite time provided that* ${u}_{0}$, $|\mathrm{\Omega}|$ *or* *a* *is sufficiently small*, *and* $q>C$ *with* *C* *being a positive constant depending only on* *N*, *r* *and* *m*; *If* $0<r<1$ *and* $m>q\ge r$, *then the nonnegative nontrivial weak solution of Problem* (1.1) *vanishes in finite time for any nonnegative initial data provided that* *b* *is sufficiently large*.

It can be seen from the above theorem that the extinction of nonnegative nontrivial weak solutions to Problem (1.1) occurs when the absorption term is in some sense strong. However, when the absorption term is suitably weak, whether Problem (1.1) admits non-extinction solutions or not is not answered in [13]. On the other hand, it can be seen from [9] that $q=m$ is the critical extinction exponent when there is no absorption term. An interesting problem is whether the absorption term can change the critical extinction exponent. We know from a recent paper [17] by Liu *et al.* that the critical extinction exponent is not changed (at least when the source is local) when $r=1$. However, when the absorption term is nonlinear, *i.e.* when $r\ne 1$, the problem is open.

Motivated by the works mentioned above, we investigate the critical extinction exponents for Problem (1.1) by constructing suitable super and sub-solutions and give a more complete classification of exponents and coefficients for the solutions to vanish in finite time or not.

By the strong maximum principle we know that $M,\mu >0$. Our main results are the following theorems.

**Theorem 1.2** *If* $q>m$, *then all the solutions* $u(x,t)$ *vanish in finite time for suitably small initial data* ${u}_{0}(x)$. *If* $q=m$ *and* $a\mu <1$, *then all the solutions* $u(x,t)$ *vanish in finite time for any nonnegative bounded initial data*.

**Theorem 1.3** *If* $r<min\{q,1\}$ *or* $r=q<1$ *with* $a|\mathrm{\Omega}|<b$, *then all the solutions* $u(x,t)$ *of Problem* (1.1) *vanish in finite time for appropriately small initial data* ${u}_{0}(x)$.

**Theorem 1.4** *If* $q<min\{r,m\}$ *or* $r=q<m$ *with* $a\gamma >b$, *then Problem* (1.1) *admits at least one non*-*extinction solution for any nonnegative initial data*.

Here $\gamma >0$ will be given in the proof of Theorem 1.4.

**Theorem 1.5** *If* $q=m<r$ *with* $a\mu >1$, *then Problem* (1.1) *admits at least one non*-*extinction solution for any nonnegative initial data*.

**Theorem 1.6** *If* $q=m<1\le r$ *with* $a\mu =1$, *then* (1.1) *admits at least one non*-*extinction solution* $u(x,t)$ *for any strictly positive initial data* ${u}_{0}(x)$. *If* $q=m<r<1$ *with* $a\mu =1$, *then Problem* (1.1) *admits at least one extinction solution* $u(x,t)$ *for any nonnegative initial data*. *If* $q=m<r<1$ *and* $a|\mathrm{\Omega}|\le {\lambda}_{1}$, *then* $u(x,t)$ *vanishes in the sense that* ${lim}_{t\to +\mathrm{\infty}}{\parallel u(\cdot ,t)\parallel}_{m+1}=0$.

**Remark 1.1** Comparing Theorems 1.2-1.6 with Theorem 1.1 we can see that our results complement those obtained in [13] since the case $r\ge 1$ is also considered in our paper. Moreover, according to Theorems 1.2, 1.5 and the first part of Theorem 1.6 it is easy to see that $q=m$ is the critical extinction exponent for Problem (1.1) when $r=1$, which is the same as the problems with local reaction terms (see [17]). However, when $r=1$ and $q=m$, for the nonlocal problem under consideration, the first eigenvalue ${\lambda}_{1}$ of −Δ in Ω no longer plays the same role as it does in the local case.

## 2 Proof of the main results

where ${Q}_{T}=\mathrm{\Omega}\times (0,T)$.

**Definition 2.1**A function $u\in {L}^{\mathrm{\infty}}({Q}_{T})$ is called a sub-solution (super-solution) of Problem (1.1) in ${Q}_{T}$ if the following conditions hold:

- (i)
$u(x,0)\le (\ge ){u}_{0}(x)$ in Ω,

- (ii)
$u(x,t)\le (\ge )0$ on $\partial \mathrm{\Omega}\times (0,T)$,

- (iii)for almost every $t\in (0,T)$ and every $\xi \in \mathcal{F}$,$\begin{array}{r}{\int}_{\mathrm{\Omega}}u(x,t)\xi (x,t)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x-{\int}_{\mathrm{\Omega}}{u}_{0}(x)\xi (x,0)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x+b{\int}_{0}^{t}{\int}_{\mathrm{\Omega}}{u}^{r}(x,s)\xi (x,s)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x\phantom{\rule{0.2em}{0ex}}\mathrm{d}s\\ \phantom{\rule{1em}{0ex}}\le (\ge ){\int}_{0}^{t}{\int}_{\mathrm{\Omega}}\{u{\xi}_{s}+{u}^{m}\mathrm{\Delta}\xi +a{\int}_{\mathrm{\Omega}}{u}^{q}(y,s)\phantom{\rule{0.2em}{0ex}}\mathrm{d}y\xi (x,s)\}\phantom{\rule{0.2em}{0ex}}\mathrm{d}x\phantom{\rule{0.2em}{0ex}}\mathrm{d}s.\end{array}$(2.1)

A function $u(x,t)$ is called a local solution of (1.1) if it is both a sub-solution and a super-solution for some $T>0$ and $u(x,t)$ is called a solution of (1.1) if it is a local solution of (1.1) in ${Q}_{T}$ for any $T>0$.

where $T>0$ may be chosen sufficiently small in such a way that there exists a solution ${u}_{k}$ of (2.2) on ${Q}_{T}$ for every $k\in \mathbb{N}$, and ${\parallel {u}_{k}\parallel}_{\mathrm{\infty}}$ is bounded independently of *k*. Furthermore, $1/l\le {u}_{l}\le {u}_{k}$ for $k<l$, and a super-solution (sub-solution) comparison theory holds for (2.2) (see [1, 19]).

*k*, we may define $U(x,t)\equiv {lim}_{k\to \mathrm{\infty}}{u}_{k}(x,t)$, and it is easy to see that $U(x,t)$ is a solution of (1.1). Furthermore, if

*u*is a solution of (1.1), then we have

*∂*Ω to derive this inequality. With ${\mathrm{\Phi}}_{k}$ and ${F}_{k}$ defined so that

Thus, we can choose the appropriate test function *ξ* as in [1, 19] to obtain $u\le {u}_{k}$. If *u* is a sub-solution of (1.1), the above argument shows that $u\le {u}_{k}$. Thus $U(x,t)$ is the maximal solution of (1.1), and this solution satisfies a sub-solution comparison principle.

Before proving our main results, we give a comparison principle for the solution of Problem (1.1), which is similar to Proposition 2.3 in [9] and can be proved by modifying the above arguments (see also [1, 10, 19]).

**Proposition 2.1** *Let* *u* *and* *v* *be a nonnegative bounded sub*-*solution and a nonnegative super*-*solution of* (1.1), *respectively*. *If either* $q\ge 1$ *and* *u* *is bounded from the above or* $0<q<1$ *and* *v* *has a positive lower bound*, *then* $u(x,t)\le v(x,t)$ *in* ${Q}_{T}$ *if* ${u}_{0}(x)\le {v}_{0}(x)$ *in* Ω.

*Proof of Theorem 1.2*Case (i): $q=m$ with $a\mu <1$. For any bounded smooth domain ${\mathrm{\Omega}}^{\prime}$ such that ${\mathrm{\Omega}}^{\prime}\supset \supset \mathrm{\Omega}$, let $\varphi (x)$ be the unique solution of the following elliptic problem:

By the comparison principle for linear elliptic problem we know $\phi (x)\le \varphi (x)$ in Ω. Set ${\mu}_{1}={\int}_{\mathrm{\Omega}}\varphi (x)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x$, ${M}_{1}={max}_{x\in {\overline{\mathrm{\Omega}}}^{\prime}}\varphi (x)$ and $\delta ={min}_{x\in \overline{\mathrm{\Omega}}}\varphi (x)$. It is well known from the strong maximum principle that $\delta >0$.

In addition, $v(x,t)\ge 0$ on $\partial \mathrm{\Omega}\times (0,T)$, for any $0<T<{T}^{\ast}$, and $v(x,0)\ge {u}_{0}(x)$ by the choice of *A*. Moreover, there exists a positive constant ${C}_{1}$ such that $v(x,t)\ge {C}_{1}$ in ${Q}_{T}$. Therefore, by applying Proposition 2.1 to (1.1) we see that $u(x,t)\le v(x,t)$ for $(x,t)\in {Q}_{T}$, which implies $u(x,T)\le v(x,T)$. The arbitrariness of $T<{T}^{\ast}$ and $v(x,{T}^{\ast})=0$ ensure that $u(x,{T}^{\ast})=0$. Furthermore, let $\tilde{u}(x,t)=u(x,t+{T}^{\ast})$, then $\tilde{u}(x,t)$ satisfies (1.1) with the initial condition $\tilde{u}(x,0)=0$. By the aforementioned proof, we see that $\tilde{u}(x,t)\le v(x,t)$ with any $A>0$. From the relation of the extinction time ${T}^{\ast}$ of $v(x,t)$ to *A*, it follows that $\tilde{u}(x,t)=0$ for any $t>0$, *i.e.* $u(x,t)=0$ for any $t\ge {T}^{\ast}$.

*ϕ*, ${M}_{1}$ be the same as Case (i) and denote ${k}_{0}=max\{1,\frac{2{M}_{1}^{\frac{q-m}{m}}\mu}{{\int}_{\mathrm{\Omega}}{\varphi}^{\frac{q}{m}}(x)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x}\}$. Set $v(x,t)=k{\varphi}^{\frac{1}{m}}(x)$ with $k={(\frac{1}{a{k}_{0}{\int}_{\mathrm{\Omega}}{\varphi}^{\frac{q}{m}}(x)\phantom{\rule{0.2em}{0ex}}\mathrm{d}x})}^{\frac{1}{q-m}}$, then it is easy to verify that $v(x,t)$ is a super-solution of (1.1) when ${u}_{0}(x)$ is sufficiently small such that ${u}_{0}(x)\le k{\varphi}^{\frac{1}{m}}(x)$ in Ω. Applying Proposition 2.1 to Problem (1.1) in ${Q}_{T}$ for any $T>0$ we obtain $u(x,t)\le v(x,t)$ in ${Q}_{T}$, which implies that $u(x,t)\le k{M}_{1}^{\frac{1}{m}}$. Therefore, $u(x,t)$ satisfies

By the choice of *k* and ${k}_{0}$ it is easily verified that $a{(k{M}_{1}^{\frac{1}{m}})}^{q-m}\mu \le \frac{1}{2}<1$. Thus, by the results of Case (i), we can conclude that the solution $u(x,t)$ vanishes in finite time when the initial data are suitably small. The proof of this theorem is complete. □

*Proof of Theorem 1.3*We first prove the case $r=q<1$ with $b>a|\mathrm{\Omega}|$. Set $v(x,t)=g(t)$ where $g(t)$ satisfies the following ordinary differential equation:

Since $0<q<1$ and $b>a|\mathrm{\Omega}|$, we know by integrating the ODE that $g(t)$ vanishes at some finite time ${T}^{\ast}$. Moreover, as in the proof of Theorem 1.2, it can be verified that $g(t)$ is a super-solution of (1.1). Thus, by applying Proposition 2.1 to $u(x,t)$ and $g(t)$ for any $0<T<{T}^{\ast}$ we know that $u(x,t)$ also vanishes at ${T}^{\ast}$.

where $0<{g}_{0}<{(\frac{b}{a|\mathrm{\Omega}|})}^{\frac{1}{q-m}}$. Similar to the first case, it is well known that $g(t)$ vanishes in finite time since $r<1$ and $g(t)$ is a super-solution of (1.1) provided that ${u}_{0}(x)$ is small enough such that ${\parallel {u}_{0}\parallel}_{{L}^{\mathrm{\infty}}(\mathrm{\Omega})}\le {g}_{0}$. Applying Proposition 2.1 to $u(x,t)$ and $g(t)$ guarantees the finite time extinction of $u(x,t)$. This completes the proof of Theorem 1.3. □

*Proof of Theorem 1.4*(i) Consider first the case $q<r\le m$. Let ${\lambda}_{1}$ be the first eigenvalue of the following eigenvalue problem:

where $C={max}_{t>0}\{{\lambda}_{1}{g}^{m-q}(t),b{g}^{r-q}(t)\}<+\mathrm{\infty}$. It is easy to see that (2.10) is valid for sufficiently small $\rho >0$ since $q<r\le m<1$.

- (ii)
The case $q<m<r$ can be treated similarly to Case (i).

- (iii)Finally we consider the case $r=q<m$ with $a\gamma >b$. Let $g(t)$ satisfy the following ODE:$\{\begin{array}{cc}{g}^{\prime}(t)=-{\lambda}_{1}{g}^{m}(t)+(a\gamma -b){g}^{q}(t),\hfill & t>0,\hfill \\ g(0)=0,\hfill \\ g(t)>0,\phantom{\rule{1em}{0ex}}t>0.\hfill \end{array}$(2.11)

Then $g(t)$ is nondecreasing and satisfies $g(t)\le {(\frac{a\gamma -b}{{\lambda}_{1}})}^{\frac{1}{m-q}}$. (The upper bound of $g(t)$ can be obtained by contradiction arguments and the monotonicity of $g(t)$ follows immediately as the upper bound is derived.) As in the proof of Case (i), we can construct a non-extinction sub-solution $v(x,t)=\rho g(t){\psi}^{\frac{1}{m}}(x)$ with $\rho >0$ sufficiently small.

Moreover, $v(x,t)\le w(x,t)$ by the choice of *k*. Therefore, by applying the monotonicity iteration process we can obtain a non-extinction solution $u(x,t)$ of (1.1) satisfying $v(x,t)\le u(x,t)\le w(x,t)$. The proof of Theorem 1.4 is complete. □

*Proof of Theorem 1.5*The proof of this theorem is similar to that of Theorem 1.4, so we only sketch the outline here. Set $v(x,t)=\rho g(t){\phi}^{\frac{1}{m}}(x)$ where $\phi (x)$ is defined in (1.2) and $g(t)$ satisfies the following ODE problem:

Since $a\mu >1$ and $m<r$, it is well known that $g(t)$ is nondecreasing and bounded above by ${(\frac{a\mu -1}{b{M}^{\frac{r}{m}}})}^{\frac{1}{r-m}}$. Then $v(x,t)$ is a sub-solution of (1.1) if $\rho >0$ is sufficiently small. On the other hand, the super-solution $w(x,t)$ can be chosen to be a large positive constant *L* satisfying $L\ge max\{{\parallel {u}_{0}\parallel}_{{L}^{\mathrm{\infty}}(\mathrm{\Omega})},{(\frac{a|\mathrm{\Omega}|}{b})}^{\frac{1}{r-q}},\rho {M}^{\frac{1}{m}}{max}_{t\ge 0}g(t)\}$. It can be observed that $(v,w)$ is a pair of sub-solution and super-solution of (1.1) satisfying $v(x,t)\le w(x,t)$. Therefore, by monotonicity iteration, we know that (1.1) admits at least one solution $u(x,t)$ such that $v(x,t)\le u(x,t)\le w(x,t)$. Since $v(x,t)>0$ in $\mathrm{\Omega}\times (0,+\mathrm{\infty})$, $u(x,t)$ cannot vanish at any finite time. The proof of Theorem 1.5 is complete. □

*Proof of Theorem 1.6*(i) Let $u(x,t)$ be any solution of (1.1). It can be verified that, for the case $m=q<r<1$, a sufficiently large constant

*L*is a super-solution of (1.1). Therefore, we know that $u(x,t)\le L$ in $\mathrm{\Omega}\times (0,+\mathrm{\infty})$. For convenience, in the following proof, we assume that the weak solution is appropriately smooth; otherwise, we can consider the corresponding regularized problem, and the same result can also be obtained through an approximate process (see [15]). Multiplying equation (1.1) by ${u}^{m}$ and integrating by parts over Ω yield the identity

- (ii)Let $w(x,t)=g(t){\phi}^{\frac{1}{m}}(x)$, where $g(t)$ satisfies$\{\begin{array}{cc}{g}^{\prime}(t)+b{M}^{-\frac{1-r}{m}}{g}^{r}(t)=0,\hfill & t>0,\hfill \\ g(0)=A>0.\hfill \end{array}$(2.15)

- (iii)
Finally we consider the case $q=m<1\le r$. First we construct a non-extinction sub-solution of (1.1). Set $v(x,t)={h}_{0}{e}^{-\alpha t}{\phi}^{\frac{1}{m}}(x)$, where ${h}_{0}$,

*α*are two positive constants to be determined. Noticing that $a\mu =1$, it is easily verified that when $r=1$, $v(x,t)$ is a sub-solution of (1.1) if $\alpha \ge b$ and if ${h}_{0}$ is so small such that ${h}_{0}{\phi}^{\frac{1}{m}}(x)\le {u}_{0}(x)$. When $r>1$, for $v(x,t)$ to be sub-solution of (1.1) it is reasonable to choose first ${h}_{0}$ so small such that ${h}_{0}{\phi}^{\frac{1}{m}}(x)\le {u}_{0}(x)$ and then $\alpha \ge b{h}_{0}^{r-1}{M}^{\frac{r-1}{m}}$. Next, since $r>q$ and $v(x,t)$ is bounded, we can choose a sufficiently large constant $L\ge v(x,t)$ to be a sup-solution of (1.1). Therefore, by monotonicity iteration, we can obtain a solution of (1.1) satisfying $v(x,t)\le u(x,t)\le L$. Since $v(x,t)$ does not vanish at any finite time, neither does $u(x,t)$. The proof of Theorem 1.6 is complete. □

## Declarations

### Acknowledgements

The authors would like to thank the referees for their valuable comments and suggestions which improve the original manuscript. The authors would also like to express their sincere gratitude to Professor Wenjie Gao for his enthusiastic guidance and constant encouragement. The project was supported by NSFC (11271154).

## Authors’ Affiliations

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