Abstract
We construct a regularized asymptotics of the solution of the first boundary value problem for a singularly perturbed two-dimensional differential equation of the parabolic type for the case in which the limit equation has a regular singularity. There arise power-law and corner boundary layers along with parabolic ones in such problems.
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INTRODUCTION
Lomov’s regularization method [1] for singularly perturbed problems was originally developed for equations whose order does not decrease as the small parameter tends to zero but exhibits some singularity [2]. The method allows one to construct a regularized asymptotics of the solution [1]. Subsequently, this method was generalized to many classes of singularly perturbed equations in various settings. (A bibliography of recent papers dealing with the construction of regularized asymptotics can be found in the monograph [3].) Problems with a power-law boundary layer were studied from various points of view in [2,3,4,5,6,7]. For example, the asymptotics of solutions of boundary and initial value problems was constructed in [4] for ordinary differential equations with a small parameter and with a power-law boundary layer. The same paper also gives examples of mixed boundary value problems for partial differential equations of parabolic and hyperbolic types which, when solved, give rise to the phenomenon of a power-law boundary layer. There is no small parameter multiplying the self-adjoint elliptic operator in the equations studied in [4]. The Fourier method was used there to reduce the original problem to an ordinary differential equation for which the asymptotics of the solution contains only a power-law boundary layer.
In contrast to [4], the parabolic equation studied in the present paper contains a small parameter multiplying part of the second spatial derivatives. The small parameter thus introduced into the equation results in the onset of an additional parabolic boundary layer described by the special function known as the complementary error function. Moreover, the asymptotics of the solution contains corner boundary layer functions, which are products of power-law and parabolic boundary layer functions. Fundamental results on power-law boundary layers for ordinary differential equations can be found in the monograph [3, pp. 379–401], where a regularized asymptotics is constructed using the regularization method for singularly perturbed problems. This asymptotics of the solution contains a polynomial in powers of \(\ln (1+\tau ) \), \(\tau =t/\varepsilon \). By introducing regularizing functions in a different way, we manage to simplify the structure of the solution so that it does not contain a polynomial in powers of \(\ln (1+\tau )\). For ordinary differential equations, such a result was published in [7]. An algebraic method was used in [5, 6] to study singularly perturbed initial and boundary value problems for systems of ordinary differential equations with singularities of various types, and asymptotics of the solution containing power-law boundary layers were constructed.
The method can be applied to problems in hydro- and aerodynamics. Singularly perturbed problems in fluid mechanics, explosion theory, and other applied fields are given in the paper [8], while the paper [9] describes such problems in radio engineering.
The present paper deals with the asymptotic solution of the first boundary value problem for a singularly perturbed two-dimensional differential equation of the parabolic type
Along with a parabolic boundary layer function, the asymptotics of the solution of this problem also contains the power-law boundary layer function
as well as their product, which describes a corner boundary layer [7].
The problem is solved under the following assumptions.
Assumption 1.
The function \(a(x) \) belongs to the class \( C^{\infty }[0,1]\) and is positive for all \(x\in [0,1]\) . The free term \(f(x,y,t)\) belongs to the class \(C^\infty (\overline {Q}) \) .
Assumption 2.
For each \(t\in [0,T] \), the self-adjoint operator \(L(y,t)\) on the Hilbert space \(L_2[0,1] \) has simple discrete spectrum \(\{\lambda _k(t):k\in \mathbb {N}\} \) (i.e., \(L\psi _k(y,t)=\lambda _k(t)\psi _k(y,t)\), \(\psi _k(y,t)|_{y=0}=\psi _k(y,t)_{y=1}=0 \)) such that
-
(a)
\(\lambda _i(t)\ne \lambda _j(t) \) for any \(i\ne j\) and \(t\in [0,T]\).
-
(b)
\(\lambda _k(0)<0 \) for each \(k\in \mathbb {N}\).
1. REGULARIZATION OF THE PROBLEM
Along with the independent variables \(x\) and \(t \), we introduce regularizing variables with the use of the relations
and declare them to be independent variables of the extended function
In view of definition (2), from (3) we find the derivatives of the extended function,
To simplify the notation, we omit the terms containing \( \partial ^2_{\zeta _1,\zeta _2}\tilde {u}(M) \), because the asymptotics does not contain functions depending on \((\zeta _1,\zeta _2)\).
Based on (1) and (2)–(4), for the extended function \( \tilde {u}(M,\varepsilon )\) we pose the problem
where
Here one has the identity
We seek a solution of problem (5) in the form of the series
In a standard manner, for the coefficients of this series we obtain the iterative problems
2. SPACE OF RESONANCE-FREE SOLUTIONS
Let us define a function class in which each of problems (7) is uniquely solvable. To this end, we introduce the function spaces
From these spaces we construct the new space defined as the direct sum of these spaces,
Following [1], we refer to this new space as the space of resonance-free solutions. An arbitrary element \(u_k(M) \) of the space \(U \) has the form
Let us calculate the action of the operators \(T_0 \), \(T_1\), and \(L_\zeta \) on a function \(u_k(M)\in U \). We have
3. SOLVABILITY OF THE ITERATIVE PROBLEMS
In the general case, the iterative equations (7) can be written in the form
Theorem 1.
Let Assumptions 1 and 2 be satisfied, and let the function \( h^k(M)\) lie in the space \( G_1\oplus G_3\). Then Eq. (10) has a solution \(u_k(M)\) in the space \(U\).
Proof. Let \(h^k(M)\in G_1\oplus G_3 \); i.e.,
Let us substitute the representation (8) into Eq. (10). Then, based on the calculations in (9), for the functions \( Y^k(N^l)\) and \(Z^{k}(N^l) \) we obtain the equations
These equations with the corresponding boundary conditions
have solutions representable in the form
where \(h^{k,r}_1(x,t)\) and \(h^{k,r}_2(\eta ,s)\) are known functions.
Let us estimate the integral \(I_r(\eta _l,\tau )\) using the mean value theorem,
Since
we have, choosing \(\theta =1/4 \),
Let us make the change of variables \(\tau -\nu =z \). Applying the mean value theorem, we obtain
Sharpening the inequality and applying the mean value theorem one more time, we arrive at the inequality
Hence, using formula 3.321.3 in [10], we obtain the desired estimate. The proof of the theorem is complete.
In what follows, given a matrix \(C\), by \(\overline {C} \) (respectively, \(\overline {\overline {C}} \)) we denote the matrix with the same diagonal entries and zero off-diagonal entries (respectively, with the same off-diagonal entries and zero diagonal entries); in particular, \(C=\overline {C}+\overline {\overline {C}} \).
Theorem 2.
Let Assumptions 1 and 2 be satisfied, and let \( \overline {h^{k,2}(x,t)}|_{t=0}=0\)(i.e., \(h^{k,2}_{{ii}}(x,0)=0 \)). Then the problem
where \( \mathbf {1}=\mathrm {col}\thinspace (1,1,\ldots ) \), is uniquely solvable.
Proof. In Eq. (12), set
Then, by virtue of the condition \(\overline {h^{k,2}(x,t)}|_{t=0}=0 \), system (12) is nonsingular.
Under the corresponding initial conditions in (12) and (13), Eq. (12) unambiguously determines the function \(C^k(x,t) \). The proof of the theorem is complete.
Remark.
When solving the iterative equations, the condition \(\overline {h^{k,2}(x,t)}|_{t=0}=0\) is ensured by the choice of the vector function \(P^k(x)=(P^k_1(x),P^k_2(x),\ldots ) \).
Theorem 3.
Let Assumptions 1 and 2 be satisfied. Then Eq. (10) has a unique solution satisfying the conditions
-
(a)
\(u_k(M)|_{t=\tau =\mu =0}=0 \), \( u_k(M)|_{\partial B}=0\).
-
(b)
\(T_1 u_k(M)+h^k(M)\in G_1\oplus G_3\).
-
(c)
\(L_\zeta u_k(M)=0 \).
Proof. By Theorem 1, there exists a solution of Eq. (10), which can be represented in the form (8). Let us subject the solution (8) to condition (b), which holds if the arbitrary functions \(\upsilon _k(x,t)\) and \(C^k(x,t) \) are chosen to be solutions of the equations
Then, based on (9), the expression \(T_1 u_k(M)+h^k(M) \) is written in the form
Subjecting the function (8) to the boundary conditions (a), we find
The matrix function \(C^k(x,t) \) is determined unambiguously by Theorem 2.
Let us substitute the function \(u_k(M)\) into condition (c). Then, taking into account the representations (11) as well as the relation \( h^{k,r+3}(N^l)=h^{k,r+3}(x,t)I_r(\zeta _l,\tau ) \), and noticing that the function \(\mathrm {erfc}\thinspace (\zeta _l/2\sqrt {\tau })\) satisfies the same estimate as the function \( I_r(\zeta _l,\tau )\), \(r=1,2 \), according to (9) we obtain the equations
Under the initial conditions in (14), from these equations we unambiguously determine the functions \(d^{k,l}_i(x,t) \) and \(W^{k,l}_{i,j}(x,t) \) and hence, by virtue of (11), uniquely find the functions \(Y^k(N^l) \) and \(Z^k(N^l) \).
The equation for \(\upsilon _k(x,t)\) has a unique smooth solution (see [2, 3, 11, 12]) satisfying the condition \(\|\upsilon _k(x,0)\|<\infty \).
Thus, the solution of Eq. (10) has been unambiguously determined. The proof of the theorem is complete.
4. SOLUTION OF THE ITERATIVE PROBLEMS
The iterative equation (7) is homogeneous for \(k=0,1 \); therefore, according to Theorem 1, these equations are solvable in the space \(U \) if the functions \(Y^{k}(N^1) \) and \(Z^k(N^l) \) are solutions of the equations
Under the boundary conditions
the solutions of these equations can be represented as
where the arbitrary functions \(d^{k,l}_i(x,t)\) and \( W^{k,l}_{ij}(x,t)\) satisfy the conditions
Let us calculate the free term in Eq. (7) for \(k=2\), having preliminarily expanded the free term \(f(x,y,t)\) in the series
As a result, we obtain
Set
then
The equation with this right-hand side is solvable in the space \(U \) if the functions \(Y^2_i(N^l) \) and \(Z^2_{ij}(N^l) \) are the solutions of the equations
Consider Eqs. (16). The first equation has a solution satisfying the condition \(\|\upsilon _0(x,0)\|<\infty \) (see [2, 3, 11, 12]).
Removing the degeneracy of the second system in (16), we set
Moreover, from the initial condition (14) we find
in coordinate form, in view of (17), this relation can be written as
Relations (17) and (18) are used in the initial conditions of the second system in (16), which is uniquely solvable.
Let us proceed to the next iterative equation for \(k=3 \). Based on the calculations in (9), the free term of this equation can be written in the form
To ensure the solvability of this equation, based on (15), we set
From the first equation in (19), we find \(v_1(x,t)=0 \). Solving the second and third equations under the conditions \( d^{0,l}_i(x,t)|_{t=0}\!=\!-v_{0,i}(x,0)\) and \( W^{0,l}_{i,j}(x,t)|_{t=0}\!=\!-c^0_{i,j}(x,0) \), we determine \(d^{0,l}_i(x,t) \) and \(W^{0,l}_{i,j}(x,t) \). The fourth equation is solvable if
From the initial condition (14), we find
It will be shown below that \(P^k_i(x)=0 \) for odd \(k \). The equation for \(c^1_{ij}(x,t) \) is homogeneous; therefore, \(c^1_{ij}(x,t)=0 \). The free term of the iterative equation for \(k=3 \) acquires the form
By Theorem 1, this equation has a solution representable in the form (8) with \(k=3 \).
At the next step (\(k=4\)), the free term of the iterative equation is written in the form
To ensure the solvability of the iterative equation for \(k=4 \), we set
The first equation permits one to determine the function \(v_2(x,t) \). Removing the degeneracy of the second equation, we set
The last relation is ensured by the choice of the components of the vector \(P^0(x)\!=\!(P_1^0(x),P_2^0(x),\ldots ) \),
The equations for the functions \(d_i^{1,l}(x,t)\) and \( W_{ij}^{1,l}(x,t)\) in (20) are solved under the zero initial conditions
here we have taken into account the fact that \(P_i^1(x)=0 \), hence \(Y^1(N^l)=0 \) and \(Z^1(N^l)=0 \), and consequently, \(u_1(M)=0 \).
Based on (20), the free term \(F_4(M) \) acquires the form
the iterative equation for \(k=4 \) is solvable in \(U \) by Theorem 1.
Consider one more iterative equation for \(k=5 \). The free term of this equation is written in the form
By Theorem 1, the iterative equation for \(k=5 \) is solvable if
Since \(C^1(x,t)=0\), we set \(P^1(x)=0 \) to ensure the solvability of the second equation in (21). Further, in a similar way, we successively determine the coefficients of the partial sum
5. REMAINDER ESTIMATE
We substitute the expression
into the extended problem (5). Then, considering the iterative problems (7), for the remainder term we obtain the problem
where
In relations (23) and (24), we perform restriction by means of the regularizing functions \(\theta =\chi (x,t,\varepsilon ) \). Then, by virtue of identity (6), for \(R_{\varepsilon ,n}(x,t)\equiv R_{\varepsilon }(M) \) we obtain the problem
The very construction of the functions \(u_k(M) \) and identity (6) imply the boundedness of the right-hand side \(g_{\varepsilon ,n}(x,t)\equiv g_{\varepsilon ,n}(M)|_{\theta =\chi (x,t,\varepsilon )} \) of the equation in problem (25). For sufficiently small \(\varepsilon >0 \), the operator \(L_{\varepsilon } \) satisfies all the conditions of the maximum principle [13, p. 22]; therefore, following [14], we obtain the estimate \( \|R_{\varepsilon ,n}(x,t)\|<c\). From (22), we have the estimate
where the constant \(c \) is independent of \(\varepsilon >0 \), \(n=0,1,2,\ldots \)
Theorem 4.
Let Assumptions 1 and 2 be satisfied. Then the partial sum (22) obtained by the above-described method with \(\theta =\chi (x,t,\varepsilon )\) is an asymptotic solution of problem (1); i.e., for sufficiently small \(\varepsilon >0 \) and all \( n=0,1,2,\ldots \) one has the estimate (26).
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Omuraliev, A.S., Abylaeva, E.D. & Esengul kyzy, P. Parabolic Problem with a Power-Law Boundary Layer. Diff Equat 57, 75–85 (2021). https://doi.org/10.1134/S0012266121010067
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DOI: https://doi.org/10.1134/S0012266121010067