Numerous studies of the Navier-Stokes equations are devoted to the problem of its solution’s smoothness. A good overview of the studies was made in [1,2]. Spatial differentiability of the solutions is one of the most important aspect of the study, as it is mostly responsible for an evolution of the solutions.

Obviously differentiable solutions do not provide an effective description of turbulence. On the other hand, the global solvability and differentiability of the solutions are not proven, and therefore the turbulence description problem remains to be open.

It is interesting to study the properties of the Fourier transform of solutions of the Navier-Stokes equation: how they can be used in the description of turbulence, and whether they are differentiable. Differentiability of Fourier transform of the Navier-Stokes equation’s solution seems to be related to the appearance or disappearance of the resonances, as it will mean the absence of large energy flows from small to large harmonics, which in turn means the inability of turbulence.

Thus, obtaining the uniform global estimations of the Fourier transform of solutions of the Navier-Stokes equations will mean that the principle of modeling of complex flows and related calculations shall be based on the Fourier transform method.

The authors continue to research these issues in application to the numerical weather prediction model and this paper is a theoretical justification for this approach.

Consider Cauchy problem for the Navier-Stokes equations:

in the domain, supposing about:

The problem (1), (2), (3) has at least one weak solution in the so-called Leray-Hopf class [1].

Here are the known results proved in [1]:

Theorem 1 If

there is a single generalized solution of (1), (2), (3) in the domain, , satisfying to the following conditions:

Note that depends on,.

Lemma 1 Let, , then

Our goal is to provide global estimatimation of Fourier transforms of the Navier-Stokes equations’ soutions derivatives (1), (2), (3) without assumption of the smallness of the initial velocity and force.

We get this time-uniform estimation. Let use the following notation:

Assertion 1 The solution of (1), (2), (3) according to the Theorem 1 staisfies to:

where.

This follows from the definition of the Fourier transform and the theory of linear differential equations.

Assertion 2 The solution of (1), (2), (3) staisfies to:

` (10)

and the following estimations:

Submission for obtained by using and the Fourier transform. The estimations follow from this representation.

Lemma 2 The solution of (1), (2), (3) in Theorem 1 satisfies to the following inequalities:

or

This follows from the Navier-Stokes equations, first a priori estimation (Lemma 1) and Lemma 2.

Lemma 3 The solution of (1), (2), (3) satisfies to the following inequalities:

These estimations follow from (9), Parseval’s identity, Cauchy-Schwarz inequality, Lemma 3.

Lemma 4 The solution of (1), (2), (3) satisfies to the following inequalities:

where are finite.

Let prove the first estimation. By definition of and Lemm 3,4 assertions follow the inequlities:

where.

The rest estimations can be proved in a similar way.

Lemma 5 The solution of (1), (2), (3) according to the Theorem 1 staisfies to: where:

This follows from a priori estimation (Lemma 1) and assertion of Lemma 3.

Lemma 6 Let, , then:

Provement of the lemma can be obtained using Plancherel theorem.

Thus, the uniform global estimations of the Fourier transform of solutions of the Navier-Stokes equations indicate that the principle of modeling of complex flows and related calculations shall be based on the Fourier transform method. In terms of the Fourier transform, both smooth initial conditions and right-hand sides do not appear exacerbations modes for speed and pressure. Loss of smoothness in terms of the Fourier transform can be expected only in the case of singular initial conditions, or of unlimited forces in the.

We thank the Ministry of Education and Science of the Republic of Kazakhstan for a grant, and the “Factor” Company of System Researches for combining our efforts in this project.

The work was performed as part of the international project “Joint Kazakh-Indian study the influence of anthropogenic factors on atmospheric phenomena on the basis of numerical weather prediction models WRF (Weather Research and Forecasting)”, commissioned by the Ministry of Education and Science of the Republic of Kazakhstan.