On the Stabilization of the Solution to the Initial-Boundary Value Problem for One-Dimensional Isothermal Equations of Viscous Compressible Multicomponent Media Dynamics

Dmitriy Prokudin

doi:10.20944/preprints202306.1362.v1

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On the Stabilization of the Solution to the Initial-Boundary Value Problem for One-Dimensional Isothermal Equations of Viscous Compressible Multicomponent Media Dynamics

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Dmitriy Prokudin^*

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16 June 2023

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19 June 2023

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Abstract

An initial-boundary value problem is considered for one-dimensional isothermal equations of the dynamics of viscous compressible multicomponent media, which are a generalization of the Navier--Stokes equations. We prove the stabilization of the solution to the initial-boundary value problem while the time tends to infinity, without simplifying assumptions for the structure of the viscosity matrix, except for the standard physical requirements of symmetry and positive definitenes.

Keywords:

viscous compressible medium; multicomponent flows; stabilization of solution

Subject:

Computer Science and Mathematics - Applied Mathematics

1. Statement of the initial-boundary value problem and formulation of the main result

Modeling the motion of multicomponent media, and hence the solution of the resulting mathematical problems, is an interesting and relatively little-studied problem of both physics and mathematics. Until now, a unified approach to this problem has not been developed, and there is no advanced mathematical theory about the existence, uniqueness, and properties of solutions to initial-boundary value problems that arise in this modeling. The purpose of this article does not include a detailed review of this problem as a whole; to a certain extent, an idea of it can be obtained from monographs [1,2], as well as from the reviews given in the articles [3,4]. The aim of the article is a mathematical study of the asymptotic behavior of the solution at

t \to + \infty

of the following initial-boundary value problem for one-dimensional isothermal equations of viscous compressible multicomponent media:

\begin{matrix} \frac{\partial ρ}{\partial t} + \frac{\partial (ρ v)}{\partial x} = 0, \end{matrix}

(1)

\begin{matrix} ρ \frac{\partial u_{i}}{\partial t} + ρ v \frac{\partial u_{i}}{\partial x} + K \frac{\partial ρ}{\partial x} = \sum_{j = 1}^{N} ν_{i j} \frac{\partial^{2} u_{j}}{\partial x^{2}}, i = 1, \dots, N, \end{matrix}

(2)

\begin{matrix} {ρ |}_{t = 0} = ρ_{0} (x), u_{i} |_{t = 0} = u_{0 i} (x), i = 1, \dots, N, \end{matrix}

(3)

\begin{matrix} u_{i} {|_{x = 0} = u_{i} |}_{x = 1} = 0, i = 1, \dots, N . \end{matrix}

(4)

Here

ρ

u_{i}

i = 1, \dots, N

are respectively the density and velocity of the medium components, which are sought functions of time

t \in [0, T]

0 < T < + \infty

, and of the point x of the flow domain

Ω = {x \in R | 0 < x < 1}

v = \frac{1}{N} \sum_{i = 1}^{N} u_{i}

is and average velocity of the medium,

N ⩾ 2

is the number of components,

K = const > 0

, and constant viscosity coefficients

ν_{i j}

i, j = 1, \dots, N

from a symmetric matrix

N > 0

As can be seen, equations (1), (2) are a generalization of the one-dimensional isothermal Navier—Stokes equations for the multicomponent case. Equations (2) contain higher order derivatives of the velocities of all components, since, unlike the Navier—Stokes equations, in which viscosity is a scalar, in the multicomponent case, due to the composite structure of viscous stress tensors, the viscosities form a matrix whose entries are responsible for viscous friction. Diagonal elements are responsible for viscous friction within each component, while off-diagonal elements are responsible for friction between components. This does not allow us to automatically extend the known results for the Navier—Stokes equations to the multicomponent case. In the case of a diagonal viscosity matrix, the equations are connected possibly via the lower order terms only. In this paper, we consider a more complex case of an off-diagonal viscosity matrix. Stabilization of solutions to one-dimensional Navier—Stokes equations is studied in [5,6,7,8,9]. Unique solvability and asymptotic behavior (as

t \to + \infty

) of the solution to the considered one-dimensional equations of viscous compressible multicomponent media in the polytropic case is studied in [10,11,12]. Similar questions for related one-dimensional models of multicomponent media are discussed in [13,14,15,16,17,18,19,20].

It will be useful to use mass Lagrangian coordinates in the study of the equations (1), (2). Let us consider t and

y (x, t) = \int_{0}^{x} ρ (s, t) d s

as new independent variables. Then the system (1), (2) takes the form

\begin{matrix} \frac{\partial ρ}{\partial t} + ρ^{2} \frac{\partial v}{\partial y} = 0, v = \frac{1}{N} \sum_{j = 1}^{N} u_{j}, \end{matrix}

(5)

\begin{matrix} \frac{\partial u_{i}}{\partial t} + K \frac{\partial ρ}{\partial y} = \sum_{j = 1}^{N} ν_{i j} \frac{\partial}{\partial y} (ρ \frac{\partial u_{j}}{\partial y}), i = 1, \dots, N . \end{matrix}

(6)

After that, the flow domain

Ω

transforms to the domain

\tilde{Ω} = {y \in R | 0 < y < d}

, where

d = \int_{0}^{1} ρ_{0} (x) d x > 0

, and the initial and boundary conditions arrive at the form

\begin{matrix} {ρ |}_{t = 0} = {\tilde{ρ}}_{0} (y), u_{i} |_{t = 0} = {\tilde{u}}_{0 i} (y), i = 1, \dots, N, \end{matrix}

(7)

\begin{matrix} u_{i} {|_{y = 0} = u_{i} |}_{y = d} = 0, i = 1, \dots, N . \end{matrix}

(8)

The main result of the article is the following assertion.

Theorem 1.

Assume that

ρ_{0} \in W_{2}^{1} (0, 1)

ρ_{0} > 0

u_{0 i} \in \overset{\circ}{W_{2}^{1}} (0, 1)

i = 1, \dots, N

. Then

ρ \to d

u_{i} \to 0

i = 1, \dots, N

, as

t \to + \infty

, in the norm of the space

W_{2}^{1} (0, 1)

Proof.

Let us obtain a priori estimates for the solution to the problem (1)–(4), which would be uniform in t, and from which the stabilization of the solution follows.

2. A priori estimates

Let us multiply the equations (2) by

u_{i}

, summarize in i and integrate in y, thus, using (1), we obtain

\begin{matrix} \frac{1}{2} \frac{d}{d t} \sum_{i = 1}^{N} \int_{0}^{1} ρ u_{i}^{2} d x + \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{1} (\frac{\partial u_{i}}{\partial x}) (\frac{\partial u_{j}}{\partial x}) d x = - K \sum_{i = 1}^{N} \int_{0}^{1} u_{i} (\frac{\partial ρ}{\partial x}) d x . \end{matrix}

(9)

Since

N > 0

, the second summand in the left-hand side of (9) satisfies the inequality 1

\begin{matrix} \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{1} (\frac{\partial u_{i}}{\partial x}) (\frac{\partial u_{j}}{\partial x}) d x ⩾ C_{1} (N) \sum_{i = 1}^{N} \int_{0}^{1} {(\frac{\partial u_{i}}{\partial x})}^{2} d x . \end{matrix}

(10)

Multiplying (1) by

ln ρ - ln d

and integrating in x, we obtain for the right-hand side of (9)

\begin{matrix} - K \sum_{i = 1}^{N} \int_{0}^{1} u_{i} (\frac{\partial ρ}{\partial x}) d x = K N \sum_{i = 1}^{N} \int_{0}^{1} ρ (\frac{\partial v}{\partial x}) d x = - K N \frac{d}{d t} \int_{0}^{1} (ρ ln ρ - (ln d + 1) ρ + d) d x . \end{matrix}

(11)

Thus, using (10) and (11), from (9) we derive

\begin{matrix} \frac{1}{2} \frac{d}{d t} \sum_{i = 1}^{N} \int_{0}^{1} ρ u_{i}^{2} d x + K N \frac{d}{d t} \int_{0}^{1} (ρ ln ρ - (ln d + 1) ρ + d) d x + C_{1} \sum_{i = 1}^{N} \int_{0}^{1} {(\frac{\partial u_{i}}{\partial x})}^{2} d x ⩽ 0 . \end{matrix}

(12)

In the Lagrangian coordinates

(t, y)

the formula (12) looks like

\begin{matrix} \frac{1}{2} \frac{d}{d t} \sum_{i = 1}^{N} \int_{0}^{d} u_{i}^{2} d y + K N \frac{d}{d t} \int_{0}^{d} \frac{1}{ρ} (ρ ln ρ - (ln d + 1) ρ + d) d y + C_{1} \sum_{i = 1}^{N} \int_{0}^{d} ρ {(\frac{\partial u_{i}}{\partial y})}^{2} d y ⩽ 0 . \end{matrix}

(13)

From (13), after integration in t, we obtain the estimate

\begin{matrix} \sum_{i = 1}^{N} \int_{0}^{d} u_{i}^{2} d y + \int_{0}^{d} \frac{ρ ln ρ - (ln d + 1) ρ + d}{ρ} d y + \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} ρ {(\frac{\partial u_{i}}{\partial y})}^{2} d y d τ ⩽ C_{2}, \end{matrix}

(14)

where

C_{2} = C_{2} (C_{1}, K, N,

d, inf_{(0, d)} {\tilde{ρ}}_{0}, sup_{(0, d)} {\tilde{ρ}}_{0}, \{{∥{\tilde{u}}_{0 i}∥}_{L_{2} (0, d)}\})

. Note that all terms in the left-hand side of (14) are nonnegative.

Let us rewrite the equations (6) as

\begin{matrix} \frac{1}{N} \sum_{j = 1}^{N} {\tilde{ν}}_{i j} \frac{\partial u_{j}}{\partial t} + \frac{K}{N} (\sum_{j = 1}^{N} {\tilde{ν}}_{i j}) \frac{\partial ρ}{\partial y} = \frac{1}{N} \frac{\partial}{\partial y} (ρ \frac{\partial u_{i}}{\partial y}), i = 1, \dots, N, \end{matrix}

(15)

where

{\tilde{ν}}_{i j}

i, j = 1, \dots, N

are the entries of the matrix

\tilde{N} = N^{- 1}

. Summarizing (15) in i, we obtain

\begin{matrix} \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \frac{\partial u_{j}}{\partial t} + \tilde{K} \frac{\partial ρ}{\partial y} = \frac{\partial}{\partial y} (ρ \frac{\partial v}{\partial y}), \end{matrix}

(16)

where

\tilde{K} = \frac{K}{N} (\sum_{i, j = 1}^{N} {\tilde{ν}}_{i j}) > 0

. The equations (5) imply that

\begin{matrix} ρ \frac{\partial v}{\partial y} = - \frac{\partial ln ρ}{\partial t} . \end{matrix}

(17)

Substituting

ρ \frac{\partial v}{\partial y}

from (17) into the equality (16), we arrive at the relation

\begin{matrix} \frac{\partial^{2} ln ρ}{\partial t \partial y} + \tilde{K} \frac{\partial ρ}{\partial y} = - \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \frac{\partial u_{j}}{\partial t} . \end{matrix}

(18)

Let us multiply (18) by

\frac{\partial ln ρ}{\partial y}

and integrate in y, then we obtain the equality

\begin{matrix} \frac{1}{2} \frac{d}{d t} \int_{0}^{d} {(\frac{\partial ln ρ}{\partial y})}^{2} d y + \tilde{K} \int_{0}^{d} ρ {(\frac{\partial ln ρ}{\partial y})}^{2} d y = - \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} (\frac{\partial u_{j}}{\partial t}) (\frac{\partial ln ρ}{\partial y}) d y . \end{matrix}

(19)

The right-hand side of (19) can be converted via integration by parts and using (8), (17):

\begin{matrix} - \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} (\frac{\partial u_{j}}{\partial t}) (\frac{\partial ln ρ}{\partial y}) d y = - \frac{d}{d t} (\frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} u_{j} (\frac{\partial ln ρ}{\partial y}) d y) + \\ + \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} ρ (\frac{\partial u_{j}}{\partial y}) (\frac{\partial v}{\partial y}) d y . \end{matrix}

(20)

Hence from (19) it follows that

\begin{matrix} \frac{1}{2} \frac{d}{d t} \int_{0}^{d} {(\frac{\partial ln ρ}{\partial y})}^{2} d y + \tilde{K} \int_{0}^{d} ρ {(\frac{\partial ln ρ}{\partial y})}^{2} d y = - \frac{d}{d t} (\frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} u_{j} (\frac{\partial ln ρ}{\partial y}) d y) + \\ + \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} ρ (\frac{\partial u_{j}}{\partial y}) (\frac{\partial v}{\partial y}) d y . \end{matrix}

(21)

Let us integrate (21) in t:

\begin{matrix} \frac{1}{2} \int_{0}^{d} {(\frac{\partial ln ρ}{\partial y})}^{2} d y + \tilde{K} \int_{0}^{t} \int_{0}^{d} ρ {(\frac{\partial ln ρ}{\partial y})}^{2} d y d τ = \\ = \frac{1}{2} \int_{0}^{d} \frac{1}{{\tilde{ρ}}_{0}^{2}} {(\frac{\partial {\tilde{ρ}}_{0}}{\partial y})}^{2} d y - \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} u_{j} (\frac{\partial ln ρ}{\partial y}) d y + \\ + \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{d} \frac{{\tilde{u}}_{0 j}}{{\tilde{ρ}}_{0}} (\frac{\partial {\tilde{ρ}}_{0}}{\partial y}) d y + \frac{1}{N} \sum_{i, j = 1}^{N} {\tilde{ν}}_{i j} \int_{0}^{t} \int_{0}^{d} ρ (\frac{\partial u_{j}}{\partial y}) (\frac{\partial v}{\partial y}) d y d τ . \end{matrix}

The last equality and (14) lead to the estimate

\begin{matrix} \int_{0}^{d} {(\frac{\partial ln ρ}{\partial y})}^{2} d y + \int_{0}^{t} \int_{0}^{d} ρ {(\frac{\partial ln ρ}{\partial y})}^{2} d y d τ ⩽ C_{3}, \end{matrix}

(22)

where

C_{3} = C_{3} (C_{2}, \tilde{N}, \tilde{K},

N,

inf_{(0, d)} {\tilde{ρ}}_{0}, {∥{\tilde{ρ}}_{0}∥}_{W_{2}^{1} (0, d)},

{{∥{\tilde{u}}_{0 i}∥}_{L_{2} (0, d)}})

Let note that the equation (5) implies, for every

t \in [0, T]

, the existence of a point

\tilde{y} (t) \in [0, d]

such that

\begin{matrix} ρ (t, \tilde{y} (t)) = d . \end{matrix}

(23)

Since

ln ρ (t, y) = ln ρ (t, \tilde{y} (t)) + \int_{\tilde{y} (t)}^{y} \frac{\partial (ln ρ (t, s))}{\partial s} d s,

then by the Hölder inequality, taking into account (22) and (23), we deduce that

| ln ρ (y, t) | ⩽ | ln d | + \sqrt{d} {∥\frac{\partial ln ρ}{\partial y}∥}_{L_{2} (0, d)} ⩽ C_{4} (C_{3}, d),

and we immediately conclude that

\begin{matrix} 0 < \frac{1}{C_{5}} ⩽ ρ (t, y) ⩽ C_{5} < + \infty, C_{5} = C_{5} (C_{4}) . \end{matrix}

(24)

Hence, from (14), (22) and (24) we obtain the estimate

\begin{matrix} \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y d τ + \int_{0}^{d} {(\frac{\partial ρ}{\partial y})}^{2} d y + \int_{0}^{t} \int_{0}^{d} {(\frac{\partial ρ}{\partial y})}^{2} d y d τ ⩽ C_{6} (C_{2}, C_{3}, C_{5}) . \end{matrix}

(25)

In order to derive the next group of estimates, we multiply (6) by

\frac{\partial^{2} u_{i}}{\partial y^{2}}

and integrate in y, thus we obtain

\begin{matrix} \frac{1}{2} \frac{d}{d t} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y + \sum_{j = 1}^{N} ν_{i j} \int_{0}^{d} ρ (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial^{2} u_{j}}{\partial y^{2}}) d y = - \sum_{j = 1}^{N} ν_{i j} \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial u_{j}}{\partial y}) d y + \\ + K \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) d y . \end{matrix}

(26)

Let us summarize the equation (26) over i and integrate over t, then we obtain

\begin{matrix} \frac{1}{2} \sum_{i = 1}^{N} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y + \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{t} \int_{0}^{d} ρ (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial^{2} u_{j}}{\partial y^{2}}) d y d τ = \frac{1}{2} \sum_{i = 1}^{N} \int_{0}^{d} {(\frac{\partial {\tilde{u}}_{0 i}}{\partial y})}^{2} d y - \\ - \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{t} \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial u_{j}}{\partial y}) d y d τ + K \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) d y d τ . \end{matrix}

(27)

The left-hand side of (27) satisfies the estimate

\begin{matrix} \frac{1}{2} \sum_{i = 1}^{N} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y + \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{t} \int_{0}^{d} ρ (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial^{2} u_{j}}{\partial y^{2}}) d y d τ ⩾ \\ ⩾ C_{7} (C_{1}, C_{5}) (\sum_{i = 1}^{N} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y + \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} {(\frac{\partial^{2} u_{i}}{\partial y^{2}})}^{2} d y d τ) . \end{matrix}

(28)

Due to (25) and the inequalities (

i = 1, \dots, N

)

\begin{matrix} {∥\frac{\partial u_{i}}{\partial y}∥}_{C [0, d]}^{2} ⩽ 2 {∥\frac{\partial u_{i}}{\partial y}∥}_{L_{2} (0, d)} {∥\frac{\partial^{2} u_{i}}{\partial y^{2}}∥}_{L_{2} (0, d)}, \end{matrix}

(29)

the second summand in the right-hand side of (27) satisfies the estimate

\begin{matrix} - \sum_{i, j = 1}^{N} ν_{i j} \int_{0}^{t} \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) (\frac{\partial u_{j}}{\partial y}) d y d τ ⩽ \frac{C_{7}}{4} \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} {(\frac{\partial^{2} u_{i}}{\partial y^{2}})}^{2} d y d τ + C_{8}, \end{matrix}

(30)

where

C_{8} = C_{8} (C_{6}, C_{7}, N, N)

. The third summand in the right-hand side of (27) can be estimated as follows:

\begin{matrix} K \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} (\frac{\partial ρ}{\partial y}) (\frac{\partial^{2} u_{i}}{\partial y^{2}}) d y d τ ⩽ \frac{C_{7}}{4} \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} {(\frac{\partial^{2} u_{i}}{\partial y^{2}})}^{2} d y d τ + C_{9} (C_{6}, C_{7}, K, N) . \end{matrix}

(31)

Thus, from (27), due to (28), (30) and (31), the estimate

\begin{matrix} \sum_{i = 1}^{N} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y + \sum_{i = 1}^{N} \int_{0}^{t} \int_{0}^{d} {(\frac{\partial^{2} u_{i}}{\partial y^{2}})}^{2} d y d τ ⩽ C_{10} (C_{7}, C_{8}, C_{9}, \{∥ {\tilde{u}}_{0 i} ∥_{W_{2}^{1} (0, d)}\}) \end{matrix}

(32)

follows. Finally, integrating (26) in t, we arrive at the inequalities

\begin{matrix} \int_{0}^{t} |\frac{d}{d τ} \int_{0}^{d} {(\frac{\partial u_{i}}{\partial y})}^{2} d y| d τ ⩽ C_{11} (C_{5}, C_{6}, C_{10}, N, K, N), i = 1, \dots, N . \end{matrix}

(33)

3. Stabilization of the solution with an unlimited increase in time

From (25) and (33), the following convergence follow

\begin{matrix} {∥\frac{\partial u_{i}}{\partial y}∥}_{L_{2} (0, d)} \to 0, i = 1, \dots, N \end{matrix}

(34)

t \to + \infty

. Differentiating (5) with respect to y and multiplying by

\frac{\partial ρ}{\partial y}

, using (29), we arrive at the estimate

\begin{matrix} \int_{0}^{t} |\frac{d}{d τ} \int_{0}^{d} {(\frac{\partial ρ}{\partial y})}^{2} d y| d τ ⩽ C_{12} (C_{5}, C_{6}, C_{10}, N) . \end{matrix}

(35)

Hence, as

t \to + \infty

, we have

\begin{matrix} {∥\frac{\partial ρ}{\partial y}∥}_{L_{2} (0, d)} \to 0 . \end{matrix}

(36)

Thus, it is proved that (see (23)) in the norm of

W_{2}^{1} (0, d)

\begin{matrix} u_{i} \to 0, i = 1, \dots, N, ρ \to d \end{matrix}

(37)

t \to + \infty

. It is easy to verify now that the same convergence takes place in the Euler variables in the norm of the space

W_{2}^{1} (0, 1)

. The theorem is proved. □

4. Conclusions

For the system of differential equations of isothermal viscous compressible multicomponent media with an non-diagonal, symmetric, and positive-definite viscosity matrix, an analysis is made of the asymptotic behavior (as

t \to + \infty

) of the solution to the initial-boundary value problem in the case of one spatial variable. The main difficulty was to obtain a priori estimates. To overcome it, the mass Lagrangian coordinates have been used. As a result, new a priori estimates are obtained and stabilization of the solution of the initial-boundary value problem is proved.

Funding

The research was supported by Russian Science Foundation (project 23–21–00381).

Conflicts of Interest

The author report no conflict of interest.

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Notes

1	Everywhere, $C_{k}$ , $k \in N$ stand for various positive constants depending on the values given in brackets, but independent of t.

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On the Stabilization of the Solution to the Initial-Boundary Value Problem for One-Dimensional Isothermal Equations of Viscous Compressible Multicomponent Media Dynamics

Abstract

Keywords:

Subject:

1. Statement of the initial-boundary value problem and formulation of the main result

2. A priori estimates

3. Stabilization of the solution with an unlimited increase in time

4. Conclusions

Funding

Conflicts of Interest

References

Notes

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