Abstract Generated abstract
This note studies a singularly perturbed boundary value problem for the second order equation with a small parameter multiplying the highest derivative, in the case where the right hand side depends only on the unknown function and the independent variable. Under smoothness assumptions near the limiting curve and the positivity condition on the derivative with respect to the unknown function, the authors construct matched asymptotic expansions combining an outer solution of the degenerate equation with boundary layer corrections at both endpoints. The resulting formulas give a uniform approximation on the whole interval with an error of order μ^{n+1}, and a simplified interior expansion with an error of order μ^{2(n+1)} away from the endpoints.
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MATHEMATICS
A. B. VASIL’EVA and V. A. TUPCHIEV
ASYMPTOTIC FORMULAS FOR THE SOLUTION OF A BOUNDARY-VALUE PROBLEM FOR A SECOND-ORDER EQUATION WITH A SMALL PARAMETER AT THE HIGHEST DERIVATIVE
(Presented by Academician I. G. Petrovskii, July 1, 1960)
In the paper (¹) asymptotic formulas were given for the solution of the boundary-value problem
\[ y(0)=0,\qquad y(1)=0 \tag{1} \]
for the equation
\[ \mu y''=F(y',y,t), \tag{2} \]
when \(\mu>0\) tends to zero. One of the essential requirements of the method proposed in (¹) was the condition \(F_{y'}\ne 0\) at least in some neighborhood of the solution under consideration.
In the present note it will be shown that, for the solution of an equation of the form
\[ \mu^2 y''=F(y,t) \tag{3} \]
(instead of \(\mu\), for convenience we write \(\mu^2\), since, as will be seen below, the asymptotic formulas will contain a quantity equal to the square root of the factor multiplying \(y''\)), i.e., for the case when \(F_{y'}\equiv 0\), one can construct asymptotic formulas which in their structure resemble the formulas presented in (¹).
Let us prescribe for (3) the boundary conditions (1). In the paper (²), under the condition of continuity of \(F\) and \(F_y\) in some domain \(D\), \(0\le t\le 1\), \(|y|\le M\) (\(M\) is a certain constant determined by the form of the right-hand side), and under the condition \(F_y>0\) in \(D\), the existence was proved, for sufficiently small \(\mu\), of a solution \(y(t,\mu)\) of the boundary-value problem (1), and it was also proved that
\[ \lim_{\mu\to 0} y(t,\mu)=\varphi(t)\qquad (0<t<1), \tag{4} \]
where \(\varphi(t)\) is the solution of the degenerate equation
\[ F(y,t)=0, \tag{5} \]
lying in the domain \(D\).
Consider the curve consisting of the segment of the curve \(y=\varphi(t)\) \((0\le t\le 1)\) and two straight-line segments \(t=0\) (from the point \(y=0\) to the point \(y=\varphi(0)\)) and \(t=1\) (from the point \(y=0\) to the point \(y=\varphi(1)\)). Denote by \(\alpha\) an arbitrarily small, but \(\mu\)-independent, neighborhood of this curve. For sufficiently small \(\mu\), the solution \(y(t,\mu)\) of the boundary-value problem under consideration lies in \(\alpha\). Suppose that in \(\alpha\) the function \(F(y,t)\) has continuous partial derivatives up to order \((n+1)\) inclusive, and that \(F_y\) has continuous partial derivatives up to order \(2n\) inclusive. Denote by \(m\) some positive constant such that \(F_y\ge m\) in \(\alpha\).
We introduce for consideration a series of auxiliary functions. We write the formal solution of (3) in the form of the expansion
\[ y=\bar y_0(t)+\mu \bar y_1(t)+\mu^2\bar y_2(t)+\cdots . \tag{6} \]
In this case \(\bar y_0(t)=\varphi(t)\), \(\bar y_1(t)=0\) (and, in general, \(\bar y_{2k+1}(t)=0\)), \(\bar y_2(t)=\dfrac{\varphi''(t)}{F_y(\varphi(t),t)}\), etc. Next, in (3), make the change of variables \(\tau_0=\dfrac{t}{\mu}\) and \(\tau_1=\dfrac{t-1}{\mu}\). We obtain two auxiliary systems
\[ \frac{d^2 \overset{(0)}{y}}{d\tau_0^2} = \overset{(0)}{F}(y,\tau_0\mu), \tag{7} \]
\[ \frac{d^2 \overset{(1)}{y}}{d\tau_1^2} = \overset{(1)}{F}(y,1+\tau_1\mu). \tag{8} \]
Let us construct formal solutions of systems (7) and (8) in the form, respectively, of the expansions
\[ \overset{(0)}{y} = \overset{(0)}{y}_0+\mu \overset{(0)}{y}_1+\cdots, \tag{9} \]
\[ \overset{(1)}{y} = \overset{(1)}{y}_0+\mu \overset{(1)}{y}_1+\cdots. \tag{10} \]
Then
\[ \frac{d^2 \overset{(0)}{y}_0}{d\tau_0^2} = \overset{(0)}{F}\bigl(\overset{(0)}{y}_0,0\bigr), \tag{11} \]
\[ \frac{d^2 \overset{(1)}{y}_0}{d\tau_1^2} = \overset{(1)}{F}\bigl(\overset{(1)}{y}_0,1\bigr). \tag{12} \]
The equations for \(\overset{(0)}{y}_k\) and \(\overset{(1)}{y}_k\) \((k>0)\) will be linear. In order to determine \(\overset{(0)}{y}_0\) and \(\overset{(1)}{y}_0\) from (11) and (12), it is necessary to prescribe additional conditions. We prescribe them as follows:
\[ \begin{aligned} \overset{(0)}{y}_0\bigm|_{t=0}&=0, & \overset{(0)}{y}_0\bigm|_{t=1}&=\bar y(0), \\ \overset{(1)}{y}_0\bigm|_{t=1}&=0, & \overset{(1)}{y}_0\bigm|_{t=0}&=\bar y(1). \end{aligned} \tag{13} \]
The functions \(\overset{(0)}{y}_k\), \(\overset{(1)}{y}_k\) will also be determined by boundary conditions of the following form:
\[ \overset{(0)}{y}_k\bigm|_{t=0}=0, \]
\[ (\mu^k\overset{(0)}{y}_k)\bigm|_{t=1} = \left[ \mu^k\bar y_k(0) + t\mu^{k-1}\bar y_{k-1,t}(0) +\cdots+ \frac{t^k}{k!}\bar y_{0,t^k}(0) \right]_{t=1}; \tag{14^0} \]
\[ \overset{(1)}{y}_k\bigm|_{t=1}=0, \]
\[ (\mu^k\overset{(1)}{y}_k)\bigm|_{t=0} = \left[ \mu^k\bar y_k(1) + (t-1)\mu^{k-1}\bar y_{k-1,t}(1) +\cdots+ \frac{(t-1)^k}{k!}\bar y_{0,t^k}(1) \right]_{t=0}. \tag{14^1} \]
From the auxiliary functions thus constructed, we form the combinations:
\[ \begin{aligned} Y_n={}& \bar y_0+\mu\bar y_1+\cdots+\mu^n\bar y_n +\overset{(0)}{y}_0+\mu\overset{(0)}{y}_1+\cdots+\mu^n\overset{(0)}{y}_n \\ &+\overset{(1)}{y}_0+\mu\overset{(1)}{y}_1+\cdots+\mu^n\overset{(1)}{y}_n -\bigl(\bar y_0(0)+\mu\bar y_1(0)+t\bar y_{0,t}(0)+\cdots \\ &\qquad\cdots+\mu^n\bar y_n(0)+t\mu^{n-1}\bar y_{n-1,t}(0)+\cdots+\frac{t^n}{n!}\bar y_{0,t^n}(0)\bigr) \\ &-\bigl(\bar y_0(1)+\mu\bar y_1(1)+(t-1)\bar y_{0,t}(1)+\cdots \\ &\qquad\cdots+\mu^n\bar y_n(1)+(t-1)\mu^{n-1}\bar y_{n-1,t}(1)+\cdots+\frac{(t-1)^n}{n!}\bar y_{0,t^n}(1)\bigr). \tag{15} \end{aligned} \]
This expression will be the asymptotic formula for the solution \(y(t,\mu)\) of the boundary-value problem (1) for equation (3), in the sense that the inequality
\[ |y(t,\mu)-Y_n|<C\mu^{n+1}, \tag{16} \]
holds, where \(C\) is some constant independent of \(t\) and \(\mu\) for \(0\leqslant t\leqslant 1\), provided \(\mu\) is sufficiently small, \(\mu\leqslant \mu^0\).
Estimate (16) is uniform on the whole interval \(0\leqslant t\leqslant 1\). If, however, one is interested in the asymptotics on the interval \(\varepsilon\leqslant t\leqslant 1-\varepsilon\), where \(\varepsilon\) is an arbitrarily small but fixed number independent of \(\mu\), then instead of \(Y_n\) one may use the simpler expression—the partial sum of series (6)
\[ \overline{Y}_n=\overline{y}_0(t)+\mu\overline{y}_1(t)+\cdots+\mu^n\overline{y}_n(t). \tag{17} \]
It can be shown that
\[ k!\,\overline{y}_k(t)=\lim_{\mu\to 0}\frac{\partial^k}{\partial\mu^k}\,y(t,\mu) \]
and, moreover, the derivatives \(\dfrac{\partial^k}{\partial\mu^k}y(t,\mu)\) are uniformly bounded on the interval \(\varepsilon\leqslant t\leqslant 1-\varepsilon\). Hence it follows that
\[ |y(t,\mu)-\overline{Y}_n|<C\mu^{n+1}, \]
where \(C\) is a constant independent of \(t\) and \(\mu\) for \(\varepsilon\leqslant t\leqslant 1-\varepsilon\) and \(\mu\leqslant \mu^0\). Since \(\overline{y}_{2k+1}=0\), it is more convenient, instead of \(\overline{Y}_n\), to use the expression
\[ U_n=\overline{y}_0(t)+\mu^2\overline{y}_2(t)+\cdots+\mu^{2n}\overline{y}_{2n}(t), \tag{18} \]
which is related to \(y(t,\mu)\) by the inequality
\[ |y(t,\mu)-U_n|<C\mu^{2(n+1)}. \]
The results obtained may be formulated as the following theorem:
Theorem. If \(F(y,t)\) has, in the domain \(\alpha\), continuous partial derivatives up to order \((n+1)\) inclusive, and \(F_y\geqslant m>0\) in this domain and has continuous partial derivatives up to order \(2n\) inclusive, then for the solution \(y(t,\mu)\) of the boundary-value problem (1) for equation (3) the inequalities
\[ \begin{aligned} |y(t,\mu)-Y_n|&<C\mu^{n+1} &&(0\leqslant t\leqslant 1),\\ |y(t,\mu)-U_n|&<C\mu^{2(n+1)} &&(\varepsilon\leqslant t\leqslant 1-\varepsilon), \end{aligned} \]
hold, where the functions \(Y_n, U_n\) are defined respectively by formulas (15) and (18); \(\varepsilon\) is an arbitrarily small number independent of \(\mu\); \(C\) is a constant independent of \(\mu\) for \(\mu\leqslant\mu^0\).
Moscow State University
named after M. V. Lomonosov
Received
30 VI 1960
REFERENCES
- A. B. Vasil’eva, DAN, 124, No. 3 (1959).
- N. I. Brish, DAN, 95, No. 3 (1954).