1. Introduction
Navier–Stokes equations are of high relevance in the study of incompressible fluid dynamics, describing the motion of fluid substances such as liquids and gases. In three dimensions, the incompressible Navier–Stokes equations are given by
where
is the velocity field,
is the pressure,
is an external force, and
is the kinematic viscosity. The incompressibility condition
ensures mass conservation for incompressible fluids.
A major challenge in fluid dynamics is understanding the behavior of solutions to the Navier–Stokes equations over time, especially in three dimensions, where the question of global regularity remains open [
1]. Specifically, it is not known whether smooth initial data can lead to singularities (blow-up) in finite time. Despite this, substantial progress has been made in understanding the long-time behavior of solutions under various conditions.
Our analysis to come is framed within the Sobolev–Gevrey spaces that have been employed in studying the regularity and properties of solutions to partial differential equations [
2,
3].
These spaces, which interpolate between Sobolev spaces and spaces of analytic functions, allow for the analysis of both spatial regularity and behavior at infinity.
In the context of the Navier–Stokes equations, several authors have investigated the decay properties of solutions. Wiegner [
4] proved the decay results for weak solutions in
spaces. Schonbek and Wiegner [
5] extended these results to higher-order norms. Benameur and Jlali [
6] studied the long-time decay of solutions for the case of the absence of external force in Sobolev–Gevrey spaces, showing that the
-norm of global solutions decays to zero as time approaches infinity. However, the potential growth of solutions, particularly under the influence of external forces that may induce such growth, remains less understood. From a mathematical perspective, elucidating the conditions under which solutions to the Navier–Stokes equations can grow or remain bounded is important in its own right for advancing the theoretical framework of fluid dynamics, especially in addressing the global regularity problem and the possible formation of singularities. From a real-world standpoint, the chosen forcing term bounded by a growing exponential function (as will be further described) ensures a broad applicability. This allows us to approach the problem from various applied perspectives, provided that these applications involve a forcing term that increases over time. Additionally, Sobolev–Gevrey spaces are well suited for our purposes because they provide control over the growth of derivatives, which is particularly relevant in our case given the maximum exponential growth in the forcing term.
In this paper, we aim to establish conditions under which the Sobolev–Gevrey norm of the solution can grow exponentially with time, and to determine how this growth depends on the parameters of the Sobolev–Gevrey spaces.
The paper is organized as follows: In
Section 2, we introduce the mathematical framework and state the main theorems that will be proved in this work. The first theorem provides conditions under which solutions exhibit exponential growth in Sobolev–Gevrey norms, while the second theorem establishes the uniqueness and continuous dependence on initial data in these spaces. The subsequent sections provide the proofs of each of the theorems presented. Finally, we conclude with a discussion of the results and possible directions for future research.
2. Previous Definitions, Assumptions and Main Results
We begin by defining the Sobolev–Gevrey spaces that will be used throughout this work.
Definition 1 (Sobolev–Gevrey Spaces)
. Let , , and . The Sobolev–Gevrey space is defined aswhere and is the standard Sobolev space of order s. The norm on is given by The following lemma will be important to us to prove Theorem 1 to come.
Lemma 1. Let , , , and suppose . Then, there exists a constant depending only on s, a, and σ such that Proof. Our goal is to estimate in terms of and . The proof relies on the algebra properties of Sobolev–Gevrey spaces and commutator estimates.
First, recall the Definition 1. For
with
in our case, the Sobolev space
is a Banach algebra, meaning that the product of two functions in
belongs to
, and there exists a constant
such that
Similarly, the Sobolev–Gevrey space inherits this algebra property when .
We need to estimate
where summation over repeated indices is implied.
Observe that since and differentiation reduces the Sobolev regularity by one.
However, in the context of Sobolev–Gevrey spaces, the differentiation and the action of
satisfy
Therefore, .
We can write
since multiplication in physical space corresponds to convolution in Fourier space, and the operator
acts as a multiplication by
in Fourier space.
However, this equality is not exact due to the non-commutativity of multiplication and the exponential operator. Hence, we consider the following decomposition:
where
represents the commutator term:
Our aim is to estimate both and .
Since
, and
is a Banach algebra for
, we have
Using the properties of Sobolev–Gevrey spaces, we have
We now estimate
. The term
represents the commutator between the exponential operator and multiplication:
To estimate
, we utilize commutator estimates for Fourier multiplier operators. Specifically, for
, the following inequality holds (see [
3]):
However, since
and
, we have
But . Since , we may not have . To circumvent this, we can employ an alternative commutator estimate that depends only on .
An appropriate commutator estimate (see [
7]) is
Combining the estimates for the main term and the commutator term, we have
Thus, we have established that
where
depends only on
s,
a, and
.
This completes the proof of Lemma 1. ☐
Note that we consider the Navier–Stokes equations (
1) with an initial condition
and external force
, satisfying the following conditions.
Assumption 1. The initial velocity and is divergence free, i.e., .
Assumption 2. The external force is divergence free, i.e., .
Assumption 3. There exist constants and such that We now state our main results.
Theorem 1 (Exponential Growth of Solutions)
. Let and . Suppose that Assumptions 1–3 hold. Then, there exists a unique global solution to the Navier–Stokes equations (
1)
such thatwhere depends on , M, ν, a, and σ, and the growth rate β is given bywith depending on a and σ. Theorem 2 (Uniqueness and Continuous Dependence)
. Let and . Suppose are divergence free. Let and be the corresponding solutions to (
1)
with the same external force f satisfying A2 and A3. Then,where depends on and the constants in A2 and A3. These theorems are intended to provide certain properties concerning the growth behavior of solutions in Sobolev–Gevrey spaces and establish first results such as uniqueness and continuous dependence on the initial data.
3. Proof of Theorem 1
Our goal is to establish the existence and uniqueness of a global solution
to the Navier–Stokes equations (
1) under Assumptions 1–3, and to demonstrate that the Sobolev–Gevrey norm of the solution grows exponentially with time.
The proof proceeds in several steps:
Establish local existence and uniqueness of solutions in .
Derive an energy estimate for the Sobolev–Gevrey norm of the solution.
Estimate the nonlinear term using commutator estimates in Sobolev–Gevrey spaces.
Establish a differential inequality for the Sobolev–Gevrey norm.
Prove that the solution exists globally and the norm grows exponentially.
We must first show that there exists a time such that a unique solution exists in . This is performed by a fixed-point argument applied to the integral form of the Navier–Stokes equations.
Rewrite (
1) in the abstract form:
where
Here, is the Leray projection onto divergence-free vector fields. We know is bounded on and Sobolev spaces , and by extension on due to the compatibility of Fourier multipliers and exponential weights.
To show local existence, we must prove that is locally Lipschitz from into itself. The linear part is clearly bounded from to and by elliptic regularity, and from to itself, if we consider higher regularity for u. To ensure the nonlinearity is well defined and continuous from to , we actually use the embedding and the fact that is an algebra. Thus, to rigorously justify the local well posedness, one often first establishes existence in spaces (where is clearly Lipschitz local in time) and then notes that a solution is, in particular, in .
Since these local existence results are standard in Navier–Stokes theory (see works by Kato, Temam, or Bahouri–Chemin–Danchin adapted to Gevrey spaces), we do not omit the argument but acknowledge it is classical. We conclude that there exists
and a unique solution
depending continuously on
.
Now, we derive an energy estimate in Sobolev–Gevrey norms. For this, define
. This operator
is a Fourier multiplier with symbol
. It commutes with spatial derivatives since it is defined via the Fourier transform. Applying
to (
1) and using that
, we obtain
Take the
inner product with
:
We must control
. Using known commutator estimates (see Bahouri–Chemin–Danchin’s Fourier analysis book) and the fact that
is an algebra for
, we have
Since
, we have
and
. Thus:
Substituting the estimates into the energy identity,
To handle
, use the inequality
. Plugging this in,
We must absorb
into the dissipation term
. Using Young’s inequality for the products
Similarly, for the cubic term
, write
(Here, we use Young’s inequality again to split a cubic term into a quartic and a constant).
Combining these gives a (complicated but manageable) differential inequality. To simplify the exposition, let
. We obtain an inequality of the form
After rearrangements (all steps are standard and involve applying Young’s inequality multiple times to handle the nonlinear terms), we can isolate a representative form:
for some positive constants
depending on
and the initial norms.
Note that every nonlinearity is controlled either by higher-order estimates or Young’s inequalities. Although we do not write out every single intermediate constant redefinition (which is standard PDE practice), the key point is that one arrives at a differential inequality with a quadratic term in , a linear growth in , and an exponentially growing forcing times .
Now, let us focus on the troublesome
term. Apply Young’s inequality:
(Choosing , as previously suggested).
Now the inequality has the form
At this point, the presence of might be worrisome. However, we can argue by a continuity method: assume for the sake of establishing a priori bounds that remains bounded. If not, suppose becomes large; one can choose constants so that the solution cannot blow up in finite time, a contradiction typical in Navier–Stokes global well-posedness arguments under these assumptions. Therefore, we may dominate by a term like for some large . By choosing Y to be large enough, we ensure does not grow faster than exponentially. This step is a standard PDE bootstrap argument: if tries to grow faster than exponentially, the assumption of local existence plus these inequalities ensures a contradiction, and thus must remain in a regime where it can be majorized by an exponential.
Hence, we effectively reduce the problem to a linear differential inequality:
where
behaves like
plus constants. More concretely,
for some constants
depending on
, and the initial data.
Since
, we obtain
If we choose
to ensure that
, then
As
, the dominant term is
. Hence,
grows at most like
. Since
is chosen as
for some
, we establish an upper bound of the form
Taking the square root gives
Recall that
. Therefore,
This matches the claimed growth rate in Theorem 1.
We remark that the local solution can be extended globally since the norm remains finite for all finite times. No finite time blow-up occurs. Thus, exists for all . Uniqueness follows from the Lipschitz continuity of established in the local existence step, and the energy estimates prevent the solutions from diverging.
Hence, we have shown the following:
Existence of a global solution in .
Uniqueness due to the locally Lipschitz nature of .
An exponential upper bound on .
This completes the proof of Theorem 1.
4. Proof of Theorem 2
We aim to prove that if
and
are two solutions to the Navier–Stokes equations (
1) with the same divergence-free initial data
and external force
f satisfying Assumptions 2 and 3, then
where
depends on
,
a,
, and the constants in Assumptions A2 and A3.
The structure of the proof is as follows:
Difference of Solutions: Define . We derive an equation for and use the incompressibility conditions to rewrite the nonlinear terms.
Projection and Linearization: Apply the Leray projection to reduce the system to an equation involving only divergence-free vector fields.
Sobolev–Gevrey Transform: Define to exploit the smoothing properties of the Sobolev–Gevrey operator and to obtain suitable energy estimates.
Energy Inequality: Derive a precise energy inequality for in the -norm. Carefully estimate all nonlinear terms using known commutator estimates and Sobolev embeddings.
Gronwall’s Inequality: Integrate the resulting differential inequality over time and apply Gronwall’s inequality to conclude an exponential bound on , and hence on .
First, let
. Both
and
solve the Navier–Stokes equations with the same force
f and initial conditions
, respectively. Subtracting the equation for
from that for
, we obtain
where
and
are the corresponding pressure fields. Using incompressibility (
), rewrite
Thus,
where
.
Now, apply the Leray projection
to remove the pressure gradient (since
). We obtain
Define
. The operator
is a Fourier multiplier that commutes with derivatives and the Leray projection. Applying it to the equation, we have
Now, consider the
-norm of
:
Substitute the equation for
:
Focus on the nonlinear terms:
Since
and
commute and are bounded linear operators, we have
Let us introduce now certain regularity and the smoothness assumption. To estimate these last terms, we need sufficient smoothness on u and v. From the theory of the Navier–Stokes equations in Gevrey-type spaces, as well as standard parabolic regularization, if , then for , actually gains additional smoothness, ensuring on any finite interval. Such regularization results are classical in PDE theory. Thus, we assume with uniform-in-time bounds on their -norms over the interval considered.
Now, rewrite
. For
,
Since
and using Sobolev embeddings and the boundedness of
in
, we obtain
where
is uniformly bounded in time due to the smoothing effect.
Applying Cauchy–Schwarz and Young’s inequality,
Since
, we can write
We have
. Using again that
and standard Sobolev embeddings,
By similar Young’s inequality arguments,
Combining
and
carefully (absorbing terms like
into
since
and using the
bounds for
u and
v), we find a differential inequality of the form
where
is bounded.
Now, applying Gronwall’s inequality, we have
with
.
Since
, we have
. Thus,
Set
. This shows
We have shown that the difference in norm grows exponentially at a rate depending on , and the forcing parameters. This establishes uniqueness and continuous dependence on the initial data in , completing the proof of Theorem 2.