1. Introduction
The results of this paper are proved in detail in the monograph [
1]. In the author’s papers, listed in the References (see [
2,
3,
4,
5]), some preliminary results are obtained. In paper [
6] some of the results are summarized. These results are stated in the abstract. The aim of this paper is to explain for broad audience the author’s result concerning the Navier–Stokes problem (NSP) in
without boundaries. The result, proven in detail in the book [
1], can now be stated:
If the exterior force , the initial velocity , and the solution of the NSP exists for all , then .
This result, that we call the NSP paradox (or just paradox), shows that
The NSP is not a correct statement of the problem of motion of viscous incompressible fluid. The NSP is neither physically nor mathematically correct statement of the dynamics of incompressible viscous fluid.
Let us explain the steps of our proof. The NSP consists of solving the equations:
see, for example, books [
1,
7]. Here
is the velocity of incompressible viscous fluid,
is the pressure,
is the exterior force,
is the viscoucity coefficient,
is the initial velocity,
. The data
and
f are given, the
v and
p are to be found. The fluid’s density
.
(a) First we reduce the NSP to an equivalent integral equation.
where
depends only on the data
f and
, see [
1]. We assume that
. This is done for simplicity only. Under this assumption one has (see [
1]):
where
The tensor
is calculated explicitly in [
1]:
Let us define the Fourier transform:
Take the Fourier transform of Equation (
2) and get the integral equation:
where ★ denotes the convolution in
. The following inequality, that follows from the Cauchy inequality, is useful:
One proves a priori estimate (see [
1]):
By
c here and throughout the paper various positive constants, independent of
t, are denoted. We denote by
the special constant from Equation (
27), see below.
Let us prove inequality (
9).
We denote
,
, write Equation (
1) as
where over the repeated indices summation is understood,
. We assume that
is real-valued and
Here is norm.
Multiply Equation (
10) by
, integrate over
and sum up over
j to get
where
. In deriving inequality (
12) we have used integration by parts:
,
and
.
From inequality (
12) it follows that
. Consequently,
This and our assumption (
11) imply estimate
. By Parseval equality the desired estimate (
9) follows. Estimate (
9) is proved.
Inequalities (
8) and (
9) imply
Therefore, Equation (
7) implies inequality (
22), see below.
From (
5) it follows that
because
.
(b) Secondly, we prove that any solution to Equation (
7) satisfies integral inequality (
15), see below. The integral in this inequality is a convolution with the kernel that is hyper-singular; this integral diverges classically, that is, from the classical point of view. This inequality is derived in
Section 2 (see also [
1]):
where
The norm here and below is
norm. Since the convolution integral in (
15) diverges classically, we give a new definition to this integral in
Section 3 and estimate the solution
to integral inequality (
15) by the solution
to an integral equation with the same hyper-singular kernel:
Namely, we prove the following inequality
The term depends on the data only (on since we assume ) and we may assume that is smooth and rapidly decaying as .
(c) We prove a priori estimate
part of which is inequality (
9). One has
by the Parseval equality. We prove that Equation (
17) has a solution in the space
,
provided that the data
is smooth and rapidly decaying at infinity. Moreover, this solution is unique and
(d) We prove that any solution
of inequality (
15) with
a smooth rapidly decaying function satisfies inequality (
18). Since
and
it follows that
. This yields the NSP paradox mentioned at the beginning of this section. Indeed, the initial data
, so
and we prove that
.
The NSP paradox impies the conclusions we have made:
The NSP is physically not a correct description of motion of incompressible viscous fluid in and the NSP does not have a solution on the interval unless the data are equal to zero. In this case the solution to the NSP does exist on the whole inteval and is identically equal to zero.
The uniqueness of the solution to NSP is proved in
Section 4, see Theorem 3.
2. Derivation of the Integral Inequality
Take the absolute value of both sides of Equation (
7), then use inequalities (
9) and (
14) to get
where the Parseval formula
was used, and we denoted
In this paper, by
c various constants, independent of
t, are denoted. Multiply inequality (
22) by
, take the norm
of both sides of the resulting inequality and get inequality (
15). In this calculation one uses the formulas
which are easy to derive. The
c are different in these formulas.
To study integral Equation (
17) and integral inequality (
15) we need to define the hyper-singular integral in this equation.
To do this, one needs some auxiliary material.
Let us define the function
where
is the gamma function. Here and throughout
, that is,
for
,
for
. It is known (see [
8] ) that
is an analytic function of
except for the points
, at which it has simple poles. The function
is entire function of
.
Consider the convolution operator
One has
where ☆ denotes the convolution on
and
. Inequality (
15) can be written as
Consider also the corresponding integral equation:
3. Investigation of Integral Equations and Inequalities with Hyper-Singular Kernel
In this section, we solve Equation (
28) analytically and prove estimate (
18). First, let us define the hyper-singular integral
. We are especially interested in the value
because it appears in Equation (
28). For
the convolution
is defined classically for
and one has
, where
L is the Laplace transform operator defined as
which is analytic in the region Re
if
. If
and
, then
is an analytic function of
p in the region Re
. The Laplace transform is injective on any domain of its definition. Therefore the inverse operator
is well defined on the range of
L. The inversion formula is known:
where
is the straight line
,
,
changes from
to ∞ and
is a function of
p. In Appendix 3 of [
1] one finds information on the Laplace transform used in this paper. In particular, the following Lemmas 1–3 will be used. Their proofs can be found in Appendix 3 of [
1].
Lemma 1. If is analytic in the region Re andthen , and . In Lemma 1 sufficient conditions are given for a function, analytic in the region Re to be the Laplace transform of an function.
Lemma 2. Let the assumptions of Lemma 1 hold with . Then .
Here we have used the known result (see [
1] or [
9]):
and the known formula
For
and
q smooth and decaying at infinity this formula can be understood classically. For
it is defined by the analytic continuation with respect to
where
is given in formula (
33). Formula (
33) is valid for all
by the analytic continuation from the region Re
, where it is valid classically.
Let us define convolution
by the formula:
The expression under the sign
is an entire function of
. For
the
is well defined classically if
. The function
admits analytic continuation with respect to
to the whole complex plane
. Therefore, the convolution
is defined for all
. We are especially interested in the value
because it appears in Equation (
27).
To illustrate the argument with analytic continuation, consider a simple example:
where
. Formula (
36) is valid classically for Re
, but remains valid for all
,
, by the analytic continuation with respect to
z because
is analytic for
,
, and
is an entire function of
z. Formula (
33) follows from (
36) immediately: just divide both sides of (
36) by
. The integral (
36) diverges classically for Re
, but formula (
36) is valid by analytic continuation for all
except for
. In [
10], a regularization method is described for defining divergent integrals. By this method one writes
and uses analytic continuation with respect to
z. The third term of the right side of Equation (
37) for Re
can be written as
. The first integral on the right side of (
37) is analytic with respect to
z in the region Re
, the second integral is also analytic with respect to
z in this region and the third term,
, admits analytic continuation with respect to
z from the region Re
to the complex plane
except for the points
and
. Thus, the right side of Equation (
37) admits analytic continuation with respect to
z to the region Re
, except for the points
and
at which it has simple poles. So, this right side is well defined at
.
However, the right side of (
37) is much less convenient than
, the expression we use. If one deals with the integral
, then the advantage of our definition, based on the Laplace transform, is even greater because the three terms, analogous to the terms on the right side of Equation (
37), will depend on
p and on
z and there is no separation of
z-dependence similar to the one we have in Equation (
36). Furthermore, these three terms are not all the Laplace transforms. Consequently, it is wrong to use the regularization procedure from [
10] in our problem.
Lemma 4. One hasfor any . If thenwhere is the Dirac distribution. Proof. By formulas (
32) and (
33) one gets
This proves formula (
38).
This proves formula (
39).
Lemma 4 is proved. □
This proof is taken from [
1].
Our plan is to prove that Equation (
28) has a solution
provided that
is smooth and rapidly decaying as
. Moreover, this solution is unique in
and
. Any solution
to inequality (
27) satisfies the relation
.
In particular, . This is the NSP paradox because a priori .
To realize this plan, let us investigate Equation (
28). First, let us apply to (
28) the operator
and use Lemma 4 to get
Take the Laplace transform of (
44) to get
The function
is analytic function of
p in the region
, where
is the argument of
p. One can check that the function
,
, is an analytic function of
p in the region Re
and is bounded in this region. To check this, denote
and write
This inequality is valid for all
. The function
is also analytic in this region. Therefore, the function
in formula (
46) is analytic in this region. We assumed that
is smooth and rapidly decaying as
. Thus,
is analytic in the region Re
and
Therefore,
is analytic in the region Re
and
By Lemma 1, the function is the Laplace transform of the function and . We have proved the following result.
Theorem 1. Assume that is smooth and rapidly decaying as , and . Then estimate (48) holds, Equation (28) is solvable in , its solution is unique in this space and . Let us now prove that
, where
solves inequality (
27).
Theorem 2. Any solution of inequality (27) satisfies the inequality . Proof of Theorem 2 requires the following lemma.
Lemma 5. The operator in the space for any fixed and has spectral radius equal to zero. The equation is uniquely solvable in X. Its solution can be obtained by iterationsfor any and the convergence holds in X. Proof. The spectral radius of a linear operator
A is defined by the formula
By induction one proves that
From this formula and the known asymptotic of the gamma function
for
(see [
8]) the conclusion
follows. If
then the solution to equation
is unique and can be calculated by the iterative process (
49).
This proof is taken from [
1] where more details are provided.
Lemma 5 is proved. □
By Lemma 5 the solution to Equation (
44) can be obtained as
and any solution to inequality (
27) satisfies the inequality
which is checked by iterations.
Proof of Theorem 2. From (
51) and (
52) the inequality
follows.
Theorem 2 is proved. □
It follows from Theorems 1 and 2 that
,
. This and the Parseval equality implies
. Together with the estimate (
9) this proves the a priori estimate (
19). So, solutions to Equation (
7) belong to
, where
is the Sobolev space.