Abstract:
The nonstationary Navier–Stokes equations are studied in the infinite cylinder II=.
under the additional condition of the prescribed time-periodic flow rate (flux) F(t). It is assumed that the flow rate F belongs to the space
, only. The time-periodic Poiseuille solution has the form 
, where
is a solution of an inverse problem for the time-periodic heat equation with a specific over-determination condition. The existence and uniqueness of a solution to this problem is proved.
Keywords: Navier–Stokes equations, cylindrical domain, time-periodic Poiseuille-type solution, inverse problem, minimal regularity.
Articles
Time-periodic Poiseuille-type solution with minimally regular flow rate.

Recepción: 23 Diciembre 2020
Revisado: 06 Julio 2021
Publicación: 01 Septiembre 2021
Mathematical modelling is very useful in many practical applications. For example, in medicine, it can be helpful by choosing the optimal strategy of medical treatment. In such modelling, very important issues are multiscale mathematical models of the blood circulation in a network of vessels. The full 3D computations are nowadays very time consuming and may be applied only for small parts of the blood circulation system. Therefore, a new trend is related to the creation of hybrid dimension models that combine the 1D reduction in the regular zones (mostly in straight vessels) with 3D zooms in small zones of singular behaviour. This method of asymptotic partial decomposition of a do- main was proposed by Panasenko (see [12]) and developed in [13–16]. It mathematically justifies a size of zoomed areas and prescribes asymptotically exact junction conditions. These hybrid-dimension models require significantly smaller computational resources.
The 1D Poiseuille-type flows in straight vessels play a very important role in hybrid- dimension models.
The steady-state Poiseuille flow in an infinite straight pipe 
of constant cross-section σ was invented by Jean Louis Poiseuille in 1841 (see [2,11,24]). The Poiseuille flow is described by the fact that the associated velocity field has only one nonzero component
directed along the xn-axis of Π, which depends only on
, and the pressure function
is linear. The Poiseuille-type solutions can be also defined in the nonstationary case (see [7, 17–21, 23, 26]). Moreover, in [14] the behaviour of the nonstationary Poiseuille flow was studied in a thin cylinder (with the cross-section of radius ε), and the asymptotics of it as
was found.
In the time-periodic case, such flow is usually called Womersley’s flow (see [28]). The time-periodic Poiseuille-type solutions were studied in [3] and [8]. The time periodic solutions for the full Navier–Stokes problem were considered in many papers (see, e.g., [4–6]). Notice that the time-periodic case is very important because of applications to hemodynamics.
In mentioned above papers the Poiseuille-type solutions were studied in the case when data is sufficiently regular. However, in real applications, one usually does not have data defined by smooth functions, and it is important to study the case of minimal regularity of data. The nonstationary Poiseuille-type solution with a prescribed initial condition and given flow rate F(t) belonging to
was studied in [22], where a new class of weak solutions was introduced, and the unique existence of the solution in such class was proved. The goal of the present paper is to extend the result obtained in [22] to the case of time-periodic Poiseuille-type solutions.
Let us consider the time-periodic Navier–Stokes problem describing the motion of a viscous incompressible fluid in the infinite cylinder II:

where u is the fluid velocity, p is the pressure function, and
is the constant kinematic viscosity of the fluid.
We look for the solution u of (1) in Π satisfying the additional condition of prescribed flow rate (flux) F(t):

where 
The solution
of problem (1) has the following expression:

with an arbitrary function p0(t). Putting (2) into (1), we obtain the following problem on the cross-section σ

where
and q(t) are unknown functions,
is the Laplace operator with respect to
.
The Poiseuille flow can be uniquely determined either prescribing the pressure drop q(t) or the flow rate F(t). In the first case the problem is reduced to the standard time- periodic problem for the heat equation for unknown velocity
with time- periodic forcing q(t). Problems of such type are well studied (see, e.g., [9]). However, in the real word applications the pressure is unknown, and only the flow rate (flux) of the fluid is given. Therefore, it is necessary to prescribe the additional condition

In this case the solution of problem (3), (4) is a pair of functions
, and one has to solve for
and q(t) more complicated inverse parabolic problem: for given F(t), to find a pair of functions
solving problem (3) with
satisfying the flux condition (4).
Thus, in the second case the relation between q(t) and F(t) depends on the solution of the inverse problem (in the stationary case the flux F and the pressure gradient q are proportional, and the problem remains very simple). The solvability of the time-periodic problem with the assumption that the flux F(t) is from the Sobolev space
was proved by Beirão da Veiga [3], and in [8] an elementary relationship between the pressure drop q(t) and the flux F(t) was found. However, in applications and numerical computations, the data usually is not regular. Therefore, in this paper, we study problem (3), (4) assuming only that
.
Problem (3), (4) can be reduced to the case when all involved functions have zero mean values. Let us denote by
the mean value of a function H. Let
be a solution of the following problem on σ (the stationary Poiseuille solution corresponding to the flux
):

The solution
of (5) can be represented in the form
, where

and

Let us represent the solution
in the form

Then, obviously,
, and
is the solution of the problem

where
. So, without loss of generality, we assume
, that is
.
Below, we deal with a weak solution of problem (3), (4). The reasoning about the reduction to the case of functions with zero mean values remains valid for weak solutions as well, and we will study only this case.
The rest of the paper is organized in the following way. In Section 2, function spaces are defined and the main result is formulated. In Section 3 the Galerkin approximations of the solution are constructed, and in Section 4 a priori estimates for these approximations are proved. In Section 5 the main result of the paper, that is the existence and the uniqueness of the solution, is proved.
Below, we will use the following notation. If G is the domain in
means, as usual, the set of all infinitely differentiable functions in G, and
is the subset of functions from
with compact supports in G. We use the usual (see [1,9]) notation for Lebesgue and Sobolev spaces:
, and
. The norm of an element u in the function space V is denoted by
is the Bochner space of functions u such that
for almost all
, and the norm

is finite
Let us consider the set of smooth periodic functions 
defined on the interval
. Let
be a Lebesgue space on the interval
. We extend the functions from
to the whole line R by putting
for any t. To emphasize that functions are periodically extended to R, we used notation
. Let
. Clearle
is a closure of
in
- norm, and it is a proper subspace of
. Let
be the closure of the set
in
-norm. Since function f from
coincides with a continuous function on a set whose complement is of measure zero, we may assume that
. Let
be dual of 
.
For any function
, denote by
its primitive:

Clearly,
.
If
, then
. Moreover,

and
is a period function:

Thus,
. Note that functions
defined by (9) with various t0 differ from each other by a constant.
Note that the L2-limit of a sequence
) is not necessary a primitive of some function from
. We will prove that an element
possesses a primitive in the distributional sense.
Lemma 1.Any functional
can be represented in the form

with the uniquely determined
.
Proof. Obviously, the functional given by formula (10) obeys the estimate

and hence,
.
Let us take an arbitrary functional
and show that it can be represented in the form (10). Consider the operator
due to periodicity,
. Since for any
, the equality
holds with

we have
, and the operator ∂ is an isomorphism from
to
, where the bounded operator
is given by (11).
For
, define the functional
. Clearly

Hence, there exists a uniquely defined
such that

Thus

and
is represented in the form (10).
Remark 1. Note that if the functional h can be represented in the form
=
with
and arbitrary
, then H(t)=
. Therefore, also in the case of a general functional h, for the distributional primitive H, we use the notation
.
Definition of a weak solution
Let
. By a weak solution of problem (8) we understand a pair
such that
satisfies the flux condition

and the pair
satisfies the integral identity

for any test function
such that
.
For a regular solution
, taking into account that
, identity (13) can be easily obtained multiplying equation (8)1 by η, integrating over σ and over the interval
and integrating by parts with respect to
and t. On the other hand, by uniqueness of such weak solution
(see Theorem 1 below) it follows that for
, the solution
coincides with the regular one, that is
. Thus, the proposed definition is an extension of the concept of weak solutions.
Theorem 1.Let
. Then problem (8) admits a unique weak solution (V, s). Then there holds the estimate

where the constant c depends only on σ.
Remark 2. Since
and all primitives of the function
differ from each other by a function independent of t, the integral identity (13) remains valid for any primitive function SV, and we can assume, for example, that SV is taken to be zero at the point 
Theorem 1 will be proved applying some version of Galerkin approximations (see Sections 3 and 4). Notice that in order to get estimates of approximate solutions
, we have used primitive functions defined over the integrals
with specially chosen points
and
. Thus, estimate (14) is valid only for the primitive function SV obtained as a limit of the sequence 
Let
and
be eigenfunctions and eigenvalues of the Laplace operator:

Note that
and
. The eigenfunctions
are orthogonal in
, and we assume that
are normalized in
. Then

Moreover,
is a basis in
and
.
We look for an approximate solution of problem (8) in the form

The coefficients
and the function
are obtained by solving the following linear problems

which, in virtue of the orthonormality of functions
, are equivalent to ordinary differential equations for the functions
:

where
. Note that
.
The solution of problem (17) has the form

where

It is easy to see that
.
Substituting expression (18) into (15), we obtain

Now the flux condition yields

Thus, for the function
, we derived Fredholm integral equation of the first kind:

It is well known (see, e.g., [10, 25]) that such equations, in general, are ill-posed in L2 setting. In order to regularize equation (19), we consider the following Fredholm integral equation of the second kind:

where α later will tend to 0, i.e., instead of problem (16), (19), we study the regularized problem

where

Lemma 2.Let
. Then equation (20) admits a unique solution 
.
Proof. First, we show that equation (20)is well defined in the space
.Obviously, if F is periodic and
is the solution of (20), then
also is a periodic function. Assume that mean value
. Then

Since

the second term in (22) is equal to
and from (22) it follows that

and thus,
.
From this it follows that the mean value
also vanishes:
.
It is well known that Fredholm integral equations of the second kind satisfy the Fredholm alternative (e.g., [27]). So, it is enough to prove the uniqueness of the solution to (20). Let
. By construction

and the homogeneous equation (20) gives

Multiplying (21) by
, summing by k from 1 to N and integrating over the interval
yield

Integrating by parts with respect to t and taking into account the time-periodicity of
, we obtain

Thus,
for a.a.
, and the lemma is proved.
Let the pair
be the solution of problem (21) and
be the solution of problem (6). Consider the integral
. Since the mean value
, we have

Therefore, there exists
such that
. By periodicity we also have 
Let
define the notation
, define the notation
Since the mean value of F nabishes, we hace
. Moreover, 
Lemma 3. The following estimate

holds with a constant c independent of α and N.
Proof. Define
. Multiplying (21) by
summing the obtained relation from k = 1 to k = N and integrating them over the interval
, we obtain

Using the relation

and (21), we derive

Therefore, (24) can be written as

Then


Calculating similarly two integrals J1 and J2 on the left-hand side of (25), we derive that

Hence, relation (25) takes the form

Now multiply (21) by
, sum from k = 1 till k = N and integrate over the interval
:

Evaluating each of the three integrals in (27) and having in mind that mean values of participating functions are zero, we obtain

From (26) and (28) it follows that

and

Let us estimate the integral
. Let
be a solution of problem (6). Remind that the flux of U0 is nonzero,
(see (7)). Since
is a basis in
, U0 can be expressed as a Fourier series in
:

Let us multiply relations (21) by ak and sum them over k. This gives

On the other hand, multiplying (6) by
and integrating by parts in σ, we obtain

Substituting (32) into (31) yields

i.e.,

Integrating (33) with respect to t from τ to
, we obtain

Here we have used the choice of the point t∗, that is

and hence,

From (34) it follows that

Substituting (35) into (29) yields

and choosing ε sufficiently small, we obtain

Estimates (36) and (35) give

Finally, from (30) and (37) it follows that

The constants in (36)–(38) are independent of α and N.
The constructed approximate solutions
satisfy equalities (21). Multiplying these relations by arbitrary functions
such that 
, summing over k from k = 1 to
, integrating with respect to t and then integrating by parts, we obtain the integral identity

for test functions η having the form
.
Recall that
obey a priori estimate (23) with a constant c independent of α and N.
Since all functions in (23) are 2π-periodic, inequality (23) is equivalent to

Let us fix N and choose a subsequences
and
such that l
converges weakly in
to some
converges weakly in
to SV(N)5, while
converges weakly in
to s(N). The last convergence means that

where , and
, and
is a primitive of s(N) in the distributional sense.
Obviously, for the limit functions V(N) and Ss(N), estimate (40) remains valid with a constant c independent of N. In (39), taking
and passing to the limit as
, we get

Let us show that
satisfy the flux condition

Integrating equation (21) for
from t to 2π yields

Obviously, the sequence
is bounded in
. So we may assume, without loss of generality, that
is weakly convergent to
in
. Then the sequence of primitives
for all
, and hence,
. From (43) we have

Therefore,

and differentiating this equality with respect to t, we get (42).
Now we choose a subsequence
such that
converges weakly in
to some
converges weakly in
; to SV and
converges weakly in
to s. In (41) ,passing to the limit over the subsequence as
yields

Exactly as above, we can prove that
satisfies the flux condition (12). However, the integral identity (44) is proved, up to now, only for test functions η, which can be represented as the sums:
with
such that
. After we have passed to the limit in (41) as
, the subscript M in these sums can be arbitrary large natural number. Such sums are dense in the space
. This can be proved exactly in the same way as it is done in the book [9] for the case of an initial boundary value problem. Thus, they also are dense in the subspace 
, and therefore, (41) remains valid for all
This proves that
satisfies the integral identity (13), and thus, it is a weak solution of problem (8). Estimate (14) for
follows from estimate (40) for the approximate solutions.
Assume that
. Since
, we take

Obviously,
. Putting this η into identity (13), we obtain

Since

by Fubini’s theorem and the time-periodicity of the function
we have



Therefore, from (45) it follows that

Then
, and hence,
. Integrating over σ, we get

Thus,
, and since
, we conclude that
, that is
for a.a.
and t.
This implies
. From identity (13) it follows that

In (46), we take
, where
is arbitrary, and
is the solution of problem (6). Recall that
. Then (46) takes the form

Thus, Ss(t)=const. Since
,i.e. the mean value of Ss(t) is equal to zero, we get that Ss(t) = 0. Therefore, the functional s=0.























































































