Abstract Generated abstract
This paper studies stabilization as time tends to infinity for the Cauchy problem for a linear parabolic equation in several spatial variables with time-dependent coefficients. Using an explicit fundamental solution and Gaussian integral representation, it relates the limiting behavior of solutions to averaged limiting properties of the bounded initial function, including ball, spherical, and angular means. Several sufficient conditions are established under which the solution converges uniformly on bounded spatial domains to the product of the limiting mean of the initial data and the limiting exponential factor from the zeroth-order coefficient. Additional results cover cases with large drift, initial data converging at spatial infinity, and bounded multiple primitives, with applications to equations with scalar diffusion and to periodic or almost periodic data in one dimension.
Full Text
Mathematics
Yu. N. Drozhzhinov
ON THE STABILIZATION OF THE SOLUTION OF THE CAUCHY PROBLEM FOR A PARABOLIC EQUATION
(Presented by Academician I. G. Petrovskii, 2 VIII 1961)
Consider the parabolic equation:
\[ \frac{\partial u}{\partial t} = \sum_{k,l=1}^{n} a_{kl}(t)\frac{\partial^2 u}{\partial x_k \partial x_l} + \sum_{k=1}^{n} b_k(t)\frac{\partial u}{\partial x_k} + g(t)u; \tag{1} \]
\[ a_{ij}(t)=a_{ji}(t), \qquad \sum_{k,l=1}^{n} a_{kl}(t)\alpha_k\alpha_l \ge \gamma(t)\sum_{k=1}^{n}\alpha_k^2, \qquad \gamma(t)>0. \tag{1'} \]
The functions \(a_{kl}(t)\), \(b_k(t)\), \(g(t)\) for all \(k,l=1,2,\ldots,n\) are assumed to be integrable in every finite interval of the argument \(t\).
Introduce the notation:
\[ A_{kl}(t)=\int_{0}^{t} a_{kl}(\tau)\,d\tau,\qquad B_k(t)=\int_{0}^{t} b_k(\tau)\,d\tau,\qquad G(t)=\int_{0}^{t} g(\tau)\,d\tau. \]
The symmetric matrix \(A=\|A_{ij}(t)\|\) is uniformly positive definite for \(t\ge t^*>0\), since the parabolicity condition \((1')\), integrated from \(0\) to \(t\), gives
\[ \sum_{k,l=1}^{n} A_{kl}(t)\alpha_k\alpha_l \ge \int_{0}^{t}\gamma(\tau)\,d\tau \sum_{k=1}^{n}\alpha_k^2. \]
The eigenvalues of \(A\) satisfy
\[ \lambda_i(t)\ge \int_{0}^{t}\gamma(\tau)\,d\tau \ge \delta>0 \quad \text{for } \quad t\ge t^*>0. \]
The fundamental solution of equation (1), according to \((^1)\), can be written in the form
\[ W(\bar{x}-\bar{\xi},t) = \frac{e^{G(t)}}{(2\pi)^n} \int \exp\left[i(\bar{y}',\bar{\alpha})-\bar{\alpha}'A\bar{\alpha}\right]\,d\alpha, \tag{2} \]
where the integral is extended over the whole space, \(d\alpha=d\alpha_1\ldots d\alpha_n\),
\[ \bar{\alpha}= \begin{pmatrix} \alpha_1\\ \vdots\\ \alpha_n \end{pmatrix}, \qquad \bar{\alpha}'=(\alpha_1,\ldots,\alpha_n), \qquad \sum_{k=1}^{n}\alpha_k^2=(\bar{\alpha}',\bar{\alpha}), \]
\[ \bar{y}= \begin{pmatrix} B_1(t)+x_1-\xi_1\\ \cdots\\ B_n(t)+x_n-\xi_n \end{pmatrix} \equiv \bar{B}+\bar{x}-\bar{\xi}. \]
With the aid of (2), the solution of the Cauchy problem for equation (1) with bounded initial condition
\[ u\big|_{t=0}=\varphi(x_1,\ldots,x_n)\equiv \varphi(\bar{x}) \tag{3} \]
can be written as follows:
\[ u(t,\bar{x}) = \tag{4} \]
\[ = \frac{e^{G(t)}}{2^n\sqrt{\pi^n\det A}} \int \varphi(\bar{\xi}) \exp\left[ -\frac14 \sum_{i,j=1}^{n} \bar{A}_{ij}(t)(B_i+x_i-\xi_i)(B_j+x_j-\xi_j) \right], \]
where \(\bar{A}_{ij}(t)\) are the elements of the matrix \(A^{-1}\). For what follows, it is more convenient to present (4) in the form
\[ u(t,\bar{x})= \frac{e^{G(t)}}{\sqrt{\pi^n}} \int \varphi(\bar{B}+\bar{x}-2PA\bar{\xi})\exp[-(\bar{\xi}',\bar{\xi})]\,d\bar{\xi}, \tag{*} \]
where
\[ \Lambda^1 \equiv \begin{pmatrix} \lambda_1(t) & 0\\ & \ddots\\ 0 & \lambda_n(t) \end{pmatrix} = P'AP \]
is the Jordan normal form of the symmetric positive-definite matrix \(A\); \(P=\|p_{ij}(t)\|\) is an orthogonal matrix. Denote by \(\lambda_{\max}(t)\) and \(\lambda_{\min}(t)\), respectively, the maximum and minimum eigenvalues of the matrix \(A\); then the estimate holds:
\[ \exp\left[-\frac{1}{4\lambda_{\min}(t)}\right] \sum_{i=1}^{n}(B_i+x_i-\xi_i)^2 \leq \]
\[ \leq \exp\left[ -\frac14 \sum_{i,j=1}^{n}\bar{A}_{ij}(t)(B_i+x_i-\xi_i)(B_j+x_j-\xi_j) \right]\leq \]
\[ \leq \exp\left[ -\frac{1}{4\lambda_{\max}(t)} \sum_{i=1}^{n}(B_i+x_i-\xi_i)^2 \right]. \tag{5} \]
Let \(\bar{e}\) be the vector \((\varepsilon_1,\ldots,\varepsilon_n)\), where each \(\varepsilon_i\), for all \(i=1,2,\ldots,n\), can take only two different values \(\pm1\); \(R_{\bar e}\) is the angle of the space \(\{\varepsilon_1x_1\geq 0,\ldots,\varepsilon_nx_n\geq 0\}\); \(\bar a\) is an arbitrary vector \((a_1,\ldots,a_n)\), with
\[ [a]=\prod_{i=1}^{n} a_i; \]
\(R_{\bar e a}\) is the parallelepiped \(\{0\leq \varepsilon_1x_1\leq a_1,\ldots,0\leq \varepsilon_nx_n\leq a_n\}\).
Following (2), we shall say that \(\varphi(\bar{x})\) has angular limiting means \(l\), if
\[ E(\varphi)\equiv \lim_{\substack{a_1\to+\infty\\ \cdots\\ a_n\to+\infty}} \frac1{[a]} \int_{R_{\bar e a}}\varphi(\bar{\xi})\,d\bar{\xi} = l \tag{6} \]
for all vectors \(\bar e\). We say that \(\varphi(\bar{x})\) has a ball limiting mean equal to \(l\), if
\[ M(\varphi)\equiv \lim_{r\to+\infty} \frac1{c_n r^n} \int_{0}^{r}\int_{\Omega} \varphi(r'\bar{\omega})(r')^{n-1}\,d\Omega\,dr' = l, \tag{7} \]
where \(c_n\) is the volume of the \(n\)-dimensional unit ball; \(\Omega\) is the \(n\)-dimensional unit sphere; \(\bar{\omega}\) is a variable unit vector. We say that \(\varphi(\bar{x})\) has a spherical limiting mean equal to \(l\), if
\[ N(\varphi)\equiv \lim_{r\to+\infty} \frac1{s_n r^{\,n-1}} \int_{\Omega}\varphi(r\bar{\omega})r^{n-1}\,d\Omega = l, \tag{8} \]
where \(s_n\) is the area of the \(n\)-dimensional unit sphere \(\Omega\).
It can be proved that the existence, for a bounded function, of angular limiting means equal to \(l\) implies the existence for it of a spherical limiting mean equal to \(l\). But, as the simple example
\[ \varphi(x,y)= \begin{cases} 1, & \text{for } x>0,\ y>0 \text{ and } x<0,\ y<0,\\ -1, & \text{for } x<0,\ y>0 \text{ and } x>0,\ y<0, \end{cases} \]
shows, the converse is not true. It is easily proved that if a bounded function has a spherical limiting mean equal to \(l\), then it also has a ball limiting mean equal to \(l\).
Let \(u(t,\vec x)\) be the solution of the Cauchy problem for equation (1) with initial condition (3). Suppose that \(M(\varphi)=l\). The question arises: what conditions must be imposed on the coefficients of equation (1) so that the solution \(u(t,\vec x)\) stabilizes as \(t\to+\infty\)?
Theorem 1. If:
1) the trace of the matrix \(A\), \(\operatorname{Sp} A\to+\infty\) as \(t\to+\infty\);
2) there exists \(K\) such that \((\operatorname{Sp} A)^n/\det A\leq K\);
3) \[ \sum_{i=1}^{n} B_i^2(t)/\operatorname{Sp} A\to 0 \quad \text{as } t\to+\infty; \]
4) \[ \lim_{t\to+\infty} G(t)=c; \]
5) \(\varphi(\vec x)\) is bounded, \(M(\varphi)=l\), and \(\varphi(\vec x)-l\) preserves its sign,
then the solution \(u(t,\vec x)\) of the Cauchy problem (1), (3) stabilizes to \(le^c\), i.e.
\[ \lim_{t\to+\infty} u(t,\vec x)=le^c \]
uniformly in \(x\) in any bounded domain.
Theorem 2. If:
1) there exist a positive function \(\varkappa(t)\) and a constant \(K\) such that
\[ \varkappa(t)\sum_{i=1}^{n}\alpha_i^2 \geq \sum_{k,l=1}^{n} a_{kl}(t)\alpha_k\alpha_l; \qquad \int_{0}^{t}\varkappa(\tau)\,d\tau-\int_{0}^{t}\gamma(\tau)\,d\tau\leq K; \]
2) \[ \int_{0}^{t}\gamma(\tau)\,d\tau\to+\infty \quad \text{as } t\to+\infty; \]
3) \[ \sum_{i=1}^{n} B_i^2(t)\bigg/ \int_{0}^{t}\gamma(\tau)\,d\tau \to 0 \quad \text{as } t\to+\infty; \]
4) \[ \lim_{t\to+\infty}G(t)=c; \]
5) \(\varphi(\vec x)\) is bounded, \(M(\varphi)=l\), then the solution of the Cauchy problem (1), (3) stabilizes to \(le^c\) uniformly in \(x\) in any bounded domain.
We give a brief proof of Theorem 2.
Let \(\varphi(\vec x)-l=\psi(\vec x)\). Clearly, \(M(\psi)=0\). Using (*), we have:
\[ u(t,\vec x)-le^{G(t)} = \frac{e^{G(t)}}{\sqrt{\pi^n}} \int_{\Xi} \psi\!\left(\vec B+\vec x-2P\Lambda\vec \xi\right) \exp\left[-(\vec \xi,\vec \xi)\right]d\vec \xi = I_1+I_2, \tag{9} \]
where \(I_1\) is the integral over the domain \((\delta>|\vec \xi|)\cup(|\vec \xi|>R)\), and \(I_2\) over the remaining part of space \(\delta<|\vec \xi|<R\). Since \(\psi(\vec x)\) is bounded, \(|\psi(\vec x)|\leq M\), for every \(\varepsilon>0\) there exist \(\delta^*\) and \(R^*\) such that \(|I_1|<\varepsilon/3\) for \(\delta<\delta^*\) and \(R>R^*\). Passing in \(I_2\) to spherical coordinates, separating out the ball mean and integrating by parts, we obtain:
\[ I_2= \frac{e^{G(t)}}{\sqrt{\pi^n}} \left\{ e^{-r^2} \int_{0}^{r} \int_{\Omega} \psi\!\left(\vec B+\vec x-2P\Lambda r'\vec\omega\right) (r')^{n-1}\,d\Omega\,dr' \bigg|_{r=\delta}^{r=R} \right. \]
\[ \left. + \int_{\delta}^{R} 2re^{-r^2} \int_{0}^{r} \int_{\Omega} \psi\!\left(\vec B+\vec x-2P\Lambda r'\vec\omega\right) (r')^{n-1}\,d\Omega\,dr'\,dr \right\} = \frac{e^{G(t)}}{\sqrt{\pi^n}}\{I_2' + I_2''\}. \tag{10} \]
For sufficiently small \(\delta^*\) and \(1/R^*\), \(|I_2'|<\varepsilon/3\). Fixing \(\delta<\delta^*\) and \(R>R^*\), we make the change of variables \(2r'\sqrt{\lambda_{\min}(t)}=\xi\) in the inner integral of the expression \(I_2''\):
\[ I_2''=\int_\delta^R 2r^{n+1}e^{-r^2} \left\{ \frac{1}{\left(2r\sqrt{\lambda_{\min}(t)}\right)^n} \int_0^{2r\sqrt{\lambda_{\min}(t)}}\int_\Omega \psi\bigl(\bar B+\bar x-\xi P\tilde\Lambda\bar\omega\bigr)\xi^{n-1}\,d\Omega\,d\xi \right\}dr, \]
where
\[ \tilde\Lambda=\frac{1}{\sqrt{\lambda_{\min}(t)}}\Lambda. \]
The expression in braces is the integral of the function \(\psi(\bar x)\) over an \(n\)-dimensional ellipsoid with semiaxes \(\{2r\sqrt{\lambda_1(t)},\ldots,2r\sqrt{\lambda_n(t)}\}\) and center at the point \((\bar B(t)+\bar x)\), rotated in some way in the space by the orthogonal matrix \(P\). Using the conditions of the theorem and the fact that \(M(\psi)=0\), one can show that the expression in braces tends to zero as \(t\to+\infty\). Consequently, \(|I_2|<2\varepsilon/3\) for sufficiently large \(t\). The proof of the theorem now follows easily from this.
In particular, the conditions of Theorem 2 are satisfied for the equation
\[ \frac{\partial u}{\partial t}=a(t)\Delta u+\sum_{k=1}^n b_k(t)\frac{\partial u}{\partial x_k}, \qquad \text{where } a(t)>0, \]
\[ \int_0^t a(\tau)\,d\tau\to\infty,\qquad \int_0^t b_k(\tau)\,d\tau \bigg/ \left[\int_0^t a(\tau)\,d\tau\right]^{1/2}\to 0 \quad \text{as } t\to\infty \text{ for } k=1,2,\ldots,n. \]
Moreover, the following stabilization theorems hold:
Theorem 3. If:
1) \[ \lim_{t\to+\infty}G(t)=c; \]
2) \[ \lim_{|\bar x|\to+\infty}\varphi(\bar x)=l; \]
3) there exists at least one \(k\), \(k=1,2,\ldots,n\), such that
\[ \lim_{t\to+\infty}\left|\frac{B_k(t)}{\sqrt{\operatorname{Sp} A}}\right|=+\infty, \]
then the solution of the Cauchy problem (1), (3) stabilizes to \(le^c\) as \(t\to+\infty\), uniformly in \(x\) in any bounded domain.
Theorem 4. If:
1) \[ \lim_{t\to+\infty}G(t)=c; \]
2) \(\gamma(t)\) in the parabolicity condition \((1')\) is such that
\[ \int_0^t \gamma(\tau)\,d\tau\to+\infty \quad \text{as } t\to+\infty; \]
3) there exist constants \(K\) and \(l\) such that, for bounded \(\varphi(\bar x)\),
\[ \left| \int_0^{x_1}\cdots\int_0^{x_n}\bigl[\varphi(\bar\xi)-l\bigr]\,d\xi \right|\le K \qquad \text{for all } \bar x, \]
then the solution of the Cauchy problem (1), (3) stabilizes to \(le^c\) as \(t\to+\infty\), uniformly in \(x\) in any bounded domain.
Let us note that, in the case of one variable \((n=1)\), condition 3) of Theorem 4 will be satisfied for every uniformly almost periodic function whose Fourier exponents do not have zero as an accumulation point (see \((^3)\), p. 89). In particular, this condition will be satisfied for a periodic function.
Received
30 VI 1961
CITED LITERATURE
- I. G. Petrovsky, Bull. Moscow State Univ., A, no. 7 (1938).
- S. D. Eidelman, F. O. Porper, Izv. Vyssh. Uchebn. Zaved., Mathematics, no. 4, 210 (1960).
- B. M. Levitan, Almost Periodic Functions, Moscow, 1953.