1. Introduction
Let 
, 
, be a bounded domain with a smooth boundary 
. Let the vector function 
 = 
, 
, be the velocity field of a moving fluid filling 
. The trajectory of a fluid particle occupying a position 
 at time 
 is described by a vector function 
 of a variable 
, which is the solution to the Cauchy problem for the ODE system
      
      or, equivalently, the integral equation
      
Let function  satisfy the condition , where  is a given function defined on the boundary .
In the case of a smooth velocity field  and  identically equal to zero, the function  on the boundary of  (adhesion condition), and the solutions to the Cauchy problem (2) are defined for all  and  for all  and . In this case, fluid particles do not leave the  domain when moving.
At 
, the fluid can both flow into 
 and flow out of 
 through the boundary 
. In this case, the existence interval 
 of a complete solution to the Cauchy problem (3) (see [
1], Section I.3) can lie strictly inside 
, and it is important to know at what time moment 
 a fluid particle occupying the position 
 at time 
t begins motion in 
 to the point 
x. Here, the function 
 of the variables 
 is defined as
      
The set  defines the path of a given particle. If , then the motion of the particle along the path  begins at the zero time moment, and either  or .
Since the function  means the time moment at which a fluid particle occupying the position  at time t begins to move in  to the point x, in the following, we call it the initial function.
If , then at that time moment the particle occupies position , and  means the flow in moment of this particle into  through .
There are various inhomogeneous problems with nontrivial function 
. As an example of such a problem, let us present the Jeffreys model of a viscoelastic incompressible fluid (see [
2], Section 7.1).
The Jeffreys model (J) is represented by a dashpot (N) and a Maxwell model (M) connected in parallel (). In turn, the Maxwell model is represented by a dashpot and a spring (H) connected in series (−). Thus, the schema of the Jeffreys model reads as follows: .
A Jeffreys fluid is determined by a constitutive law
      
      Here, 
 is a substantial derivative, 
 is the deviator of the stress tensor, 
 = 
 means the strain rate tensor, i.e., a matrix with coefficients 
, and 
 and 
 are some constants.
The integral form of (5) is
      
     The substitution of (6) in the momentum equation
      
      yields the problem
      
     Here, 
 = 
 and 
 are vector and scalar functions, respectively, which determine the motion velocity and pressure of the fluid. Function 
 stands for a density of external forces. The divergence 
 of a matrix is defined as a vector whose components are divergences of the matrix rows, 
, 
, and 
 are constants characterizing the viscoelastic properties of a fluid, 
 and 
 are the specified initial and boundary values of the function 
u.
Note that the presence of the integral term in (8) means (see, e.g., [
2] Ch. 7) that there is a memory along the trajectories of field 
u.
If boundary function , then field  vanishes at the boundary . As mentioned above, the solution  to the Cauchy problem (11) is defined over the entire interval  (), and therefore,  in (8).
The case 
 was studied in [
3,
4,
5]. A non-local weak and strong solvability for systems of the form (8)–(11) was established.
If  on the boundary , then  is defined at , where , which explains the presence of  in (8).
The case of an inhomogeneous condition on the boundary of simply connected domain 
 was studied in [
6,
7,
8], where a weak solvability of (8)–(11) was established.
Usually, when studying the weak solvability of a problem of the (8)–(11) type it is assumed that . Therefore, the solvability of the Cauchy problem (11) becomes nontrivial because generally speaking, there is no classical solution to it.
It turns out to be convenient to understand the solution of problem (11) in the sense of the theory of regular Lagrangian flows.
The existence and uniqueness of the solution 
 to (8) are guaranteed by the classical Cauchy-Lipschitz theorem. But if 
, the problem (8) has (non-unique) solution 
 only for 
x from some dense subset of 
. The selection of such a solution, where the mapping 
 conserves a measure, is encoded in the concept of regular Lagrangian flow (see 
Section 7 for details).
Accordingly, the study of the  function included in the (8)–(11) system becomes more complicated.
The case of a domain 
 with multiple boundary components is already much more complicated for the Navier-Stokes system (problem (8)–(11) with 
). A survey of results on this problem can be found in [
9].
A weak solvability of (8)–(11) for an inhomogeneous condition on the boundary of a multi-connected domain 
 was established in [
10].
The motivation for studying function  is as follows.
One of the most effective tools in studying the weak solvability of problems of (8)–(11) type is the topological approximation method [
2]. It consists in smoothing the nonlinear terms in (8) and (10) and data 
, 
, and 
f, and building a sequence of regularized problems which provide the solvability of these problems and convergence of their solutions 
, 
, and 
 to 
u, 
z, and 
.
Since functions z and  are determined by Cauchy problem (10), it is necessary that boundary conditions  of functions  yield  in the limit.
But the usual smoothing of u and  fails to provide the convergence  to  in the case of an inhomogeneous . The reason is the complex behavior of the trajectories  in the vicinity of the touch points of  to .
The reason is the presence of a tangent set  for  on . It turns out that a sufficient condition for the convergence of  to  is the “smallness” of tangent sets for .
The goal of the present paper is to construct approximations  and  of the fields u and  which provide the convergence of  to  in the case of multi-connected , space , and , .
The paper is organized as follows. 
Section 1 and 
Section 2 are Introduction and Notations, respectively. In 
Section 3, the assumptions on domain 
 and boundary function 
 are given. In 
Section 4, approximations of the smooth function 
 by a family of specific functions are constructed. In 
Section 4, approximations are constructed for 
. The properties of the initial function 
 for smooth field 
u are studied in 
Section 5. In 
Section 6, the properties of function 
 are investigated in a common case of a field 
u from a Sobolev space. In 
Section 7, necessary facts from the 
 theory are given.
  2. Notations
Notation 
 stands for Sobolev spaces 
n times differentiable in 
 vector functions, 
 (see [
11], Section II.1.5). Sign 
, 
, denotes the space of function traces from 
 on 
.
The embedding  is continuous. Symbol  denotes the set of infinitely differentiable compactly supported maps of  in .
Let 
. Denote by 
H and 
V the closure of 
 in the norms of spaces 
 and 
, respectively (see  [
12], Section III.1.4).
By , we denote the dual space of V.
We denote by  the action of the functional f from the dual space  of V on the function v from V. The identification of the Hilbert space H with its dual  and Riesz’s theorem lead to continuous embeddings of .
For  and , the relationship  with a scalar product in H is valid.
Sign  denotes the scalar product in Hilbert spaces , H, , and . It is clear from the context in which space the product is taken.
Norms in the space H and  are denoted as , and in V as . Norms in the spaces  are denoted as .
Norms in  and  are denoted as , norms in  and  as , and the norm in space  as . The norm in the space  is denoted as .
  3. Preliminaries
  3.1. Domain 
Let ,  be a family of bounded simply connected domains , , with the boundaries . Let ,  and , .
It is assumed that domain  is obtained by removing from domain  pairwise disjoint simply connected domains , .
Thus, the surface (curve) 
 bounds 
 from the outside, while the other connected components of the boundary 
, 
, lie inside this surface, so that (see 
Figure 1)
        
For technical reasons, we assume that 
 is contained in some bounded domain 
 with the boundary 
 (see 
Figure 2).
It is convenient for us to assume that the boundary  of the domain of  is determined by the relation , where the function  and  for  and  for .
  3.2. Boundary Function
We are interested in the velocity field 
 of an incompressible fluid that flows in the domain 
 and takes the value 
 on 
. Here, 
 is a given function. Thus, the function 
 satisfies the following relations
        
         From the continuity Equation (12), there follows that the function 
 must satisfy the following condition
        
       Here, 
 is the unit outward normal to 
 at point 
,
        
        The condition (14) means that the flux of the incompressible fluid across the boundary of the flow region 
 is equal to zero.
Let
        
        be the flux of the velocity vector 
u across each connected component 
 of the boundary of 
.
By (14), it follows that
        
         Since the behavior of the solutions to the Cauchy problem in (11) is closely related to the boundary function 
, we impose some conditions on 
.
From the inclusion  it follows that for the trace  of the function u on the boundary , the relation  is valid.
Let us denote
        
        Let us introduce the space
        
         The function 
 allows the continuation of 
a in 
 such that 
 in 
, 
 on 
 (see [
9]), and the following inequality is true:
Denote by  the operator that assigns to an arbitrary function  the so constructed function , so that .
The function 
 allows the continuation of 
 into 
 such that 
 on 
 and 
 on 
 (see [
9]), and the following inequality is valid:
Denote by  the operator that assigns to an arbitrary function  the so constructed function , so that .
For an arbitrary function 
, the function 
 is defined as 
 for 
 and 
 at 
. Obviously, 
 and
        
        Denote by 
 the operator that assigns to the function 
 the so constructed function 
, so that 
.
Obviously, . Note that the sets , , and  can have a nonempty intersection with any part  of the boundary .
If , then . This means that each component  of the boundary  belongs to either  or . In the case of , the inequality  takes place on , and  is the outflow area of the fluid from . In the case of  the condition  takes place, which means  is the inflow area.
  3.3. Cauchy Problem
In the case when the velocity field u of the problem (8)–(11) belongs to the space , there is no classical solution to the Cauchy problem (11), generally speaking. Therefore, it is convenient to understand the solvability of the problem (8)–(11) in the sense of the  theory.
However, the direct application of this theory is hindered by the presence of an inhomogeneous boundary condition  for function u.
To make use of the  theory, we extend function u from  to the wider domain  by some function  vanishing on .
Let us build this function. Let  be a given function and let u belong to  and satisfy the boundary condition .
Therefore, 
 can be represented as an element of the set of functions
        
         Here, function 
a is the extension of 
 from 
 to 
 by the ratio 
. The set 
 is a hyperplane in 
.
Let function v of variables  belong to the space . Extend function v from  to  to function  by setting  for  and  for . Denote the extension operator by , so that .
Obviously, if , then .
Now, let us define the function 
 on 
 as 
. Then, the function 
 satisfies the following ratios
        
       Along with problem (11), consider the auxiliary Cauchy problem
        
Since , we are in position to make use of the  theory. Replacing  by  and making use of Theorem 5, we infer that there exists a unique  z generated by the function . In particular, this means that the Cauchy problem (19) has an absolutely continuous solution  with respect to  for a.a.  and .
The restriction of  from  to  yields the solutions of the Cauchy problem (11).
The function 
 is defined as
        
        where 
 is the 
 generated by 
.
Denote by  the operator that matches the function u with the function , so that .
  4. Approximations of Functions from 
The behavior of the trajectories z of a field u in the vicinity of a boundary  depends significantly on the boundary function . Suitable approximations  of  provide the convergence of appropriate , , and  to the solution u, z, and  of original problem (8)–(11).
A complexity in the behavior of the trajectories , and as a consequence of , arises in a vicinity of the touch points of  to . Therefore, the set of such points should be small enough.
Below, we build approximations , whose touch-point set consists of a finite number of smooth curves on  in the case of  or a finite number of points on  in the case of . The use of trigonometric polynomials proves to be a convenient tool for this.
Denote by  the set of smooth functions  such that the set  is either empty or consists of a finite number of smooth curves on  in the case of  and a finite number of points on  in the case of .
Theorem 1.  Let . Then, for any  there is a function  such that the following inequality is true  Proof of Theorem 1 (case   = 2).  In this case, the boundary  of domain  is , where  are smooth closed curves.
Let us take a fixed . Obviously, the restriction of the function  from  to  (let us keep the designation  for the restriction) is such that .
Let the smooth function , , , define a parametrization of . Here, s means the distance along  from  to , and S is the length of the curve .
Represent the function  in the form , where  is the outward unite normal, and , , is the tangent vector at the point . Then, the scalar functions  belong to the space .
Approximate the function  by a function .
A change of variable 
 converts function 
 to function
        
The inclusion  and the smoothness of  imply the inclusion .
Denote by 
 the set of smooth functions 
 such that the set
        
        is either empty or consists of a finite number of points on 
].
Lemma 1.  Let . Then, for any , there is such a function  that the following inequality is true:  Proof of Lemma 1.  We can (see [
13], Section 2.1) approximate the functions 
, 
, by trigonometric polynomials 
, so that
          
         Note that the set of zeros of the functions 
 is finite. Therefore, 
.
Lemma 1 is proved.    □
 Let 
 be the inverse to the 
 map. A change of variable 
 converts function 
 to the smooth function
        
From the finiteness of the set of zeros of the function  and the smoothness of , it follows the finiteness of the set of zeros of function  = . Therefore, .
Let us introduce the function
        
        Note that the set of zeros of the function 
 and the set of zeros of the function 
 are finite.
It follows from (23)–(25) that
        
         Consequently,
        
Estimate 
. Making use of (25), one has
        
From (22) and (28), it follows that
        
         A change of the variable yields
        
Further,
        
         From (22), (24), and (30), it follows that
        
      From (29), (30) and (33), it follows that
        
Now, we define the function 
 on 
 by the ratio
        
        where 
 on each 
 is determined by the formula (25).
From inequality (34), for each 
, there follows the inequality
        
        Let us show that 
 belongs to the class 
.
Obviously, the finiteness of the set of zeros of the function  implies the finiteness of the set of zeros of the function .
It remains to prove the equality .
Making use of (26), we have
        
         Thus, the function 
 belongs to the class 
.
From this and the relations (35) and (36), there follows the statement of Theorem 1.
Theorem 1 is proved in the case of . □
 Proof of Theorem 1 (case  = 3).  In this case boundary  of the domain  is , where  are smooth surfaces.
We approximate the function  by the function . Recall that in the case , the class  consists of smooth functions  such that the set  is either empty or consists of a finite number of smooth curves on  and a finite number of points.
Let us take a fixed surface . Consider the restriction of the function  defined on  to , while retaining the previous notation. Obviously, the inclusion  implies the inclusion .
Denote by  the set of smooth functions  on  such that the set  consists of either a finite number of smooth curves on  or is empty.
Lemma 2.  Let . Then, for any , there is a smooth function  that satisfies the inequality  Proof of Lemma 2.  Consider the 
 unit sphere
          
Let  be a one-to-one smooth map, so that .
Let
          
          and define a one-to-one smooth map 
 as 
, 
, 
.
Define the map  by the expression , , so that it is a smooth map.
Given function , define , . It is clear that , .
From the smoothness of the mappings  and their inverses, it follows that .
Note that the function  defined on  allows a periodic continuation to  due to the obvious relations  and .
Approximate 
 by a non-zero trigonometric polynomial 
 (see [
13], 
Section 2), so that
          
          Due to the smoothness of the map 
r, the set of zeros 
 of the function 
 is either empty or may consist of a finite number of smooth curves, possibly intersecting, and a finite number of points.
Let 
 be an arbitrary function, 
, 
. The smoothness of the maps 
r and 
 implies the inequalities
          
          for some 
.
The inequalities (38) and (39) imply the inequality (37).
Lemma 2 is proved.    □
 Let 
. Represent the function 
 in the form
        
       Here, the normal and tangent components of 
 are defined as 
 and 
, respectively, 
 is the unit outward normal to 
 at the point 
.
Consider the restriction  of the function  to the part  of .
Making use of Lemma 2, we approximate the function 
 by the function 
 so that for a predetermined 
, there holds the inequality
        
         Let function 
 be defined on 
 as having restrictions 
 on each 
. Then, from (40), there follows
        
       Approximate the vector function 
 by the smooth function 
, so that the following inequality holds
        
		Let 
. From inequalities (41) and (42), there follow the inclusion 
 and the inequality
        
Let 
, 
. If 
, let us say 
, 
. Then, from (43), there follows
        
If 
, then consider the function
        
        where 
 is the area of 
. Let us show that the inequality (43) holds for this 
.
Using the form of 
, we have
        
        Let us estimate the value of 
.
         Using elementary calculations and inequality (43), we obtain
        
        It follows from (45) that
        
        Thus, 
.
We have shown that in the case of , the inequality (43) is valid for the function , and .
Now, define the function  on  by the expression  for , . The inequalities (43) for , , imply the validity of the inequality (20).
It follows from the properties of the functions 
 that 
 and
        
         Thus, 
 and satisfies the conditions of Theorem 1.
Theorem 1 is proved. □
 Remark 1.  From Theorem 1, it follows that an arbitrary function  can be approximated by the sequence , , such, that the ratio  holds. Let us move on to studying the properties of the initial function.
   5. Initial Function (Case )
  5.1. The Case of 
Let , the condition (13) be satisfied on , and . Let us continue the function u in a smooth way from  in  so that the continuation of  to  vanishes. Then, .
Along with problem (3), consider the Cauchy problem
        
         Since 
 vanishes on 
 and 
, the Cauchy problem (49) is uniquely solvable, and its solution 
 is defined for all 
 and is continuously differentiable on 
.
In accordance with (4), the initial function 
 for solution 
 to the Cauchy problem (49), we define the omitting index 
u by the ratio
        
The behavior of the function  depends on the behavior of the boundary function  on  at the tangent points.
Theorem 2.  Let the set . Then, the function  is continuous on .
 Proof of Theorem 2.  Let . Denote , . Then, .
At first, consider the case when . In this case, . Otherwise,  could be continued to the left of . Therefore, .
Since 
 at 
 and 
, then trajectory 
 enters 
 at point 
,
          
          and 
. Therefore, 
 belongs to the set 
.
Consider the function 
. The ratio 
 defines 
 as an implicit function of variables 
. Indeed, it is not difficult to see that
          
          Since the vector 
 is proportional to the normal vector 
, then, by virtue of boundary condition (13) and the inclusion of 
, it follows that
          
         Therefore (see [
14], Section Ch. 9, p. 223), there exists the implicit function 
 of variables 
 which is continuously differentiable in the neighborhood of 
 and even more continuous. It is clear that this function 
.
Now, let . In this case, either  or . In the first case, by virtue of the condition of Theorem 2,  belongs to the set , and the proof is similar to the one performed above.
Consider the case of 
. From the continuity of 
 according to the initial data (see [
1], Section V.2), it follows that there is such a small neighborhood 
U of the point 
 that for 
, the solution of the Cauchy problem 
 differs little from 
. Then, 
 for 
, and therefore, 
 is continuous at point 
.
Theorem 2 is proved.    □
 Let us now consider the case of a nonempty set . In this case, the function , generally speaking, is not continuous on . Let us give an example.
  5.2. An Example of a Discontinuous Function 
The continuity of the function  does not guarantee the continuity of the function  by . Let the domain be , .
Consider the Cauchy problem
        
        or, equivalently, the integral Equation (3), where 
, 
.
Obviously, the Cauchy problem (51) is uniquely solvable for any .
Let , . Then, , where  and , is the solution to the Cauchy problem (51).
Obviously,  for  and . This means that trajectory  which comes out from  at moment  get on the boundary of the  at moment . Therefore,  for , .
Now, let , , where  is quite small. Then,  is a solution to the Cauchy problem (51) with the initial condition , . In this case, , and then  for all . Therefore,  for , .
Now, let us say , where  is quite small. Then,  is a solution to the Cauchy problem (51) with the initial condition . In this case, , since when decreasing  function  decreases while  increases. Therefore, there is such a  that  when , and . Consequently,  for , .
It is easy to show that for  and , .
Thus, when  tends to x on the left and right, the function  has limits 0 and , respectively. Therefore,  is discontinuous at the point  for , .
Note that the unboundedness of the domain in this example is a technical point, and in the case of a bounded domain, it is not difficult to construct a similar example.
  5.3. Case of a Nonempty 
Let 
 be the solution to the Cauchy problem (3). Consider the set
        
        The set 
 is the image of 
 into 
 by the mapping 
.
Since , then , where  is the Lebesgue measure of the set  in .
Let . Obviously, .
Theorem 3.  Let the set . Then, the function  is continuous on .
 Proof of the Theorem 3.  Let . Then, , and therefore, . Consequently, . The proof of the continuity of the function  in the vicinity of a given point  is carried out in the same way as in the proof of Theorem 2 in the situation .
Theorem 3 is proved.    □
 Let us move on to studying the properties of the initial function in the general case.
  7. Regular Lagrangian Flows
Here are the facts used above from the theory of 
 (see, for example, [
16,
17,
18]).
Definition 1.  Let , . Associated to u, a regular Lagrangian flow is the function , , which satisfies the following conditions:
(1) For a.a. x and any , the function  is absolutely continuous with respect to τ and satisfies the equation (2) For any  and an arbitrary Lebesgue measurable set B, the relation is valid 
(3) For all , and a.a.   Here,  is a Lebesgue measure of the set B.
Let us recall some results on .
Theorem 5.  Let , . Then, there exists a unique z generated by v. Moreover,  Theorem 6.  Let v, ,  for some . Let the inequalities be fulfilledLet  converge to v in  for . Let  and  be the s generated by  and v, respectively. Then, the sequence  converges (up to the subsequence) to z with respect to a Lebesgue measure on the set  uniformly on .  For  and , the trajectory  belongs to the domain , unless , .
From the definition of the function , it follows that  at , and  when .
It is clear that for all , a.a.  and , the function  satisfies Equation (67).
Note that in the case of a smooth , the   is a classical solution of the Cauchy problem (67).