Abstract
In 1981, Foias, Guillopé and Temam proved a priori estimates for arbitrary-order space derivatives of solutions to the Navier–Stokes equation. Such bounds are instructive in the numerical investigation of intermittency that is often observed in simulations, e.g., numerical study of vorticity moments by Donzis et al. (2013) revealed depletion of nonlinearity that may be responsible for smoothness of solutions to the Navier–Stokes equation. We employ an original method to derive analogous estimates for space derivatives of three-dimensional space-periodic weak solutions to the evolutionary equations of diffusive magnetohydrodynamics. Construction relies on space analyticity of the solutions at almost all times. An auxiliary problem is introduced, and a Sobolev norm of its solutions bounds from below the size in of the region of space analyticity of the solutions to the original problem. We recover the exponents obtained earlier for the hydrodynamic problem. Moreover, the same approach is followed here to derive and prove similar a priori bounds for arbitrary-order space derivatives of the first-order time derivative of the weak MHD solutions.
1. Introduction
A standing problem of the analytical study of turbulence is to derive from the basic equations of hydrodynamics, the Euler equation and the Navier–Stokes equation, the empirical relations characterising this phenomenon. This requires a profound understanding of the behaviour of small-scale structures in flows, which is also necessary to achieve progress in pure mathematical problems such as to identify the class of functions in which existence and uniqueness of solutions is guaranteed, or to answer the related question on whether singularities can develop at a finite time in the solutions. A possible approach to addressing these problems consists of obtaining information on norms of high-order derivatives of the solutions: the higher the order, the more the respective norms are controlled by the small-scale components of the solutions. The energy inequality
for solenoidal solutions to the Navier–Stokes equation,
bounds the Lebesgue space norms of an incompressible fluid flow and its spatial gradient only, and not of the second derivatives describing the action of diffusivity. This led J. Leray [] and E. Hopf [] (see also [,,,]) to formulate the concept of weak solutions to the Navier–Stokes equation—namely, vector fields satisfying integral relations that are obtained by scalar multiplying (2) by a sufficiently smooth solenoidal test function with a finite support, integrating over the fluid volume and transferring differentiation from the unknown solution to the test function by integration by parts. If the resultant integral identity holds for all such test functions and is sufficiently smooth, it is simple to show that it also solves (1); such solutions are called strong. Later it was shown [,] that second-order spatial derivatives and the time derivative of a three-dimensional weak solution to (2) as well as the gradient of pressure, that are involved in (2), do exist and belong to the Lebesgue space ; the proof relies on the observation that for a vector field obeying the energy bound (1), the nonlinear term in (2) belongs to this space. Existence of weak solutions was demonstrated in [,]; the existence of strong three-dimensional solutions is an open question. While for an incompressible fluid residing in a bounded domain uniqueness was proven for three-dimensional flows satisfying suitable boundary conditions and belonging to the Lebesgue space for which the Ladyzhenskaya–Prodi–Serrin condition [,,,] holds, the energy bound (1) for weak solutions implies only . Due to importance of these mathematical questions, numerous papers were devoted to the investigation of smoothness and spatial analyticity of solutions to the Navier–Stokes equations. In the seminal work [], C. Foias and R. Temam examined Gevrey class regularity of space-periodic solutions and proved that three-dimensional flows, which initially have spatial gradients in , instantaneously become space-analytic and, for a finite time, the size of the region of analyticity in is proportional to time. (A similar derivation in [] serves for estimating the minimum length scales in the flow and Fourier spectrum decay in terms of the instantaneous rate of the bulk energy dissipation; see also [,].) Space analyticity persists while the norm of remains finite (for weak solutions, this can be guaranteed for finite times only). In the celebrated paper [], C. Foias, C. Guillopé and R. Temam established another regularising effect of the Navier–Stokes equation that is manifested by new a priori estimates: for initial conditions of a minimum regularity, the weak solutions admit the bounds
(Here and in what follows, denotes the norm in the Sobolev space ; it is essentially equivalent to the sum of the norms of all derivatives of order m.) This result was derived in [,] by a different method relying on the so-called ladder inequalities employed for estimating the “natural” length scale developing in a forced flow [,,,,,]. Recent developments in the study of analyticity of solutions to the Navier–Stokes equations are described in []. An ordinary differential equation (ODE) is studied in [] that governs the evolution of the size in of the region of analyticity of the solution and involves the Gevrey class norms; this is reminiscent of the approach [] that we follow here. A bound from below for the size of the region of analyticity that vanishes on a measure zero time set was constructed in []. An important problem is to characterise the singularities presumably developing in solutions to the equations of hydrodynamics and magnetohydrodynamics (MHD). Citing [], “It was Leray’s conjecture on turbulence, which is not yet proved nor disproved, that the solutions to the Navier–Stokes equations do develop singularities… It seems useful to study the properties of weak solutions of Navier–Stokes equations with the hope of either proving that they are regular, or studying the nature of their singularities if they are not. … Of course” the results “would lose all of their interest if the existence of strong solutions were demonstrated.” J. Leray [] showed that for any weak solution of the force-free Navier–Stokes equation, there exists at most a countable set of disjoint open time intervals such that is infinite, are finite for , , the Lebesgue measure of the complement is zero and the solution is smooth in all space-time regions . If a body force acts on the fluid, the singularity set has the same structure [] (except for the inequality on the lengths of the time intervals of smoothness does not necessarily remain valid). Investigation of the partial regularity of solutions to the Navier–Stokes equations was continued by V. Scheffer [,,,] and culminated in the work by L. Caffarelli, R. Kohn and L. Nirenberg [], who proved that for any suitable weak solution of the Navier–Stokes equation on an open set in space-time, the singular set has a zero Hausdorff measure .
Proven bounds are instructive in numerical analysis of the nature of intermittency observed in solutions to hydrodynamic or MHD equations. For instance, the numerical study [] of vorticity moments of solutions to the Navier–Stokes equations revealed depletion of nonlinearity that may be responsible for the smoothness of the solutions under investigation.
Existence of weak solutions to equations of diffusive magnetohydrodynamics was proven in []. The large-time behavior of a solution to the Navier–Stokes equation [] or an MHD solution [] is completely determined if it is known in a sufficiently large but finite set of points in the fluid region. Since the nature of the quadratic nonlinearities in the magnetic induction and Navier–Stokes equations (in the MHD case, the latter involving the Lorentz force acting on the electrically conducting fluid) is the same, most results for the hydrodynamic Navier–Stokes equation can be generalised, often straightforwardly, to encompass the system of equations of diffusive magnetohydrodynamics. For instance, the methods of [] provided an opportunity to investigate the Gevrey class regularity of the MHD solutions and to obtain the results [] analogous to []. The present paper has three goals:
- To carry over the a priori bounds for arbitrary-order space derivatives of solutions to the Navier–Stokes equation to space-periodic solutions to the equations of diffusive magnetohydrodynamics;
- To derive similar a priori bounds for arbitrary-order space derivatives of the first-order time derivative of the Fourier–Galerkin approximants and to prove that the bounds are admitted by weak solutions to the equations of magnetohydrodynamics;
- To reveal a link between these bounds and space analyticity of the MHD solutions at almost all times.
They are achieved by following an original approach [] based on a transformation of coefficients in the expansion of the solutions in the Fourier series in spatial variables. We introduce an auxiliary problem, solutions of which are Fourier series involving the transformed coefficients; in it, an additional first-order pseudodifferential operator emerges. This enables us to estimate a Gevrey class norm of the MHD solutions. The time-dependent index of this norm controls the size in (in the imaginary directions) of the region of space analyticity upon complexification of the spatial variables; it is inversely proportional to a Sobolev norm of the solution to the auxiliary system of equations. The estimate is global, i.e., applicable at all times except for a set of Lebesgue measure zero, where the norm becomes infinite. Finiteness of a Gevrey class norm of a solution implies that its Fourier series converges as a geometric series, as well as the Fourier series of its spatial derivatives. Following this observation, we construct bounds for norms of arbitrary high spatial derivatives in terms of estimates of a suitable norm of the solution and the common ratio of the geometric series. The structure of the paper is as follows. In the next section we state the problem, introduce the main equations to be investigated and set the notation. In Section 3, we follow [] to show that space analyticity sets in instantaneously, provided that the initial data belongs to the Sobolev space . We are only interested in real analyticity. We introduce in Section 4 the auxiliary system of equations and derive an a priori bound of the energy type for its solutions. It is used for construction of a priori bounds for Sobolev spaces and Wiener algebra norms of weak solutions to the equations of magnetohydrodynamics in Section 5 and of the first-order time derivatives of the solutions in Section 6. While carrying a priori bounds for Fourier–Galerkin approximants over to the weak solutions relies on standard arguments that are straightforward, this is not the case for bounds for the time derivatives. They are justified in Section 7. We provide concluding remarks in the last section of the paper. For the sake of the reader’s convenience, our presentation is reasonably detailed. The end of the proof of a lemma or theorem is marked by the symbol □.
This paper is dedicated to Professor Uriel Frisch on the occasion of his 80th anniversary as a sign of appreciation of the Scientist and the Teacher.
2. Statement of the Problem
An electrically conducting fluid flow, the velocity of which is in the Eulerian coordinates , in the presence of magnetic field satisfies the equations
Here, P is the total pressure and t is time. The first equation, (4.1), is the fluid momentum equation known as the Navier–Stokes equation and the second equation, (4.2), is the magnetic induction equation. We assume that the only external body force acting on the fluid is the magnetic Lorentz force. (This assumption is made for the sake of simplicity only; adding a prescribed space-analytic body force does not present any fundamental mathematical difficulty but renders the presentation more involved.) The flow is supposed to be incompressible and magnetic field is solenoidal:
Initially (at ) the flow velocity and magnetic field are prescribed.
We seek space-periodic solutions, the periodicity cell being a cube . Expanding the solution in Fourier series
(where summation is over three-dimensional vectors with integer components), multiplying (4.1) and (4.2) by and integrating over yields a system of ODEs for the Fourier coefficients
Fourier–Galerkin approximants of solutions to the system of Equations (4) are truncated series
(we set for ). Fourier coefficients of the approximants satisfy (6) for . Henceforth, we drop the superscript indicating the dependence of the approximants on the resolution parameter N but reinstate this notation in Section 7.
The fields and are assumed to be zero-mean:
(note that in the course of temporal evolution due to Equations (4), the spatial means of and are conserved). They are real as long as
(the bar denotes complex conjugation). The solenoidality conditions (4.3) reduce to the orthogonality
We denote by the linear projection of a three-dimensional vector on the plane normal to :
Let denote the norm in the functional Lebesgue space ,
We denote by the subspace of comprised of space-periodic (with the periodicity cell ) three-dimensional zero-mean solenoidal vector fields equipped with the norm
By the embedding theorem for Sobolev spaces ([], see also, e.g., [,,,,]), for every positive there exists a constant such that each function of a three-dimensional space variable satisfies the inequality
The Gevrey class norm is defined for by the relation
If the norm of a field is finite, it is space-analytic inasmuch as the size of the open region of analyticity of the field in the imaginary directions for complex is at least . The inequality
implies a relation between Gevrey norms of different indices:
3. Instantaneous Onset of Space Analyticity
In this section, we prove Theorem 1.
Theorem 1.
Let the initial data and at time belong to for some . Then there exists such that the weak solution to the system of Equations (4) is space-analytic in the open interval .
Proof.
Following [], we set
where is a strictly positive constant, and derive a priori bounds on the interval for the modified solutions
By the triangle inequality, the exponential in the r.h.s. of Equations (14) does not exceed 1. For , we scalar multiply (14.1) and (14.2) by and , respectively, sum up the results over all (see (8)) and take into account the inequalities
(stemming from the orthogonality (9)) and
Choosing , we find
In terms of scalar functions
the r.h.s. of (17) can be expressed as
and further bounded as follows:
(by Hölder’s inequality)
(by the embedding theorem inequalities (10); we have denoted
Choosing now such that , denoting, solving the inequality (17) and applying (13) yields
for
(The initial data for the Fourier–Galerkin system of Equations (14) should be used in the r.h.s. of (19) and (20), but we replace the norms in (19) and (20) by the norms of the initial data for the original problem (4), since the norms of the truncated initial conditions monotonically increase with the resolution parameter N.) Thus, the Fourier–Galerkin approximants (7) of solutions to (4) obey an a priori bound that is independent of N. The usual arguments show that they converge to a weak solution to the problem (4) (see Section 7) that is space-analytic for even if the initial condition is not and, hence, on this time interval it is strong and unique. □
4. An a Priori Bound for Approximants of Solutions to the Auxiliary Problem
We now consider the initial-value problem stated at such that . We have shown in the previous section that the “initial” fields and are space-analytic. By virtue of (19) and (12),
Constructions of the present section are based on this property of the initial data and otherwise do not rely on the results of the previous section: It suffices to assume that the norms of the data at are finite for some and uniformly in N bounded for the finite-space Fourier–Galerkin approximants, and consider the initial-value problem paying no attention to the prior existence of the solution to (4) for . We assume .
4.1. A Transformation of Solutions to (4) and the Auxiliary System of Equations
Following [], we transform the Fourier coefficients,
of the truncated Fourier–Galerkin approximants (7) of a solution to (4); here we have denoted
and is a constant. Substituting the Fourier series (7) and (21) into (6) yields
The system of ODEs (23) is satisfied by the Fourier–Galerkin approximants of solutions to the system of pseudodifferential equations which we call an auxiliary problem:
where is defined in the subspace of zero-mean vector fields of the Lebesgue space . While not very illuminating in the present setup, the equations in this form may be useful when considering the problem with appropriate boundary conditions in a finite fluid domain. For , they reduce to the original equations of magnetohydrodynamics (4).
In order to render (23) as an explicit system of ODEs, we scalar multiply (23.1) and (23.2) by and , respectively, sum up the results over all (see (8)) and obtain
where we have denoted
(Here and in what follows, we use the orthogonality relations stemming from (9) and swap the indices of summation and in some terms when it is convenient to rearrange the sums.) Finding
from (25) and substituting into (23) yields the desired explicit system of ODEs for which we now need to supply the initial conditions.
The transformed solutions can be constructed for both the truncated sums (7) and infinite series (5). By virtue of (21), the harmonics
are available at , if the value of the parameter is known. These relations imply
We regard (27) as an equation in . Let R denote the size of the region of analyticity, defined as the infimum of such r that . By the results of the previous section, ; evidently, for untruncated series (5). We note that and increases monotonically from to if or otherwise to . Hence, in both cases, the equation (27) has a unique solution . Now the initial data and at are fully determined.
4.2. The “Energy” Bound for the Transformed Solutions
Thus, for a given resolution parameter N, and can be found for any as a solution to an explicit finite system of ODEs, provided it does not blow up at a finite time. Theorem 2 rules out this possibility.
Theorem 2.
Proof.
We consider an analogue of the energy equation for (23). Since new terms are present in (23), we scalar multiply (23.1) and (23.2) by and , respectively. Summing up the results over yields
(see (26)). The terms constituting the l.h.s. of (30) are bounded as follows:
since ;
since on the interval the function monotonically decreases;
since and due to the elementary inequality that holds true for any and ; similarly,
The sums in the r.h.s. of (30) are bounded by essentially different procedures depending on whether p vanishes or it is positive. We note that the exponential does not exceed 1, since the exponent in the r.h.s. is negative. For , (26) implies
(see (18))
(by Hölder’s inequality)
(by the embedding theorem inequalities (10))
(by the Cauchy–Schwarz inequality). For , this implies
Compared to the usual energy bound, we have thus obtained a new bound:
for the Fourier–Galerkin approximants of solutions to the auxiliary problem (24). Although it is uniform over the resolution parameter N, a further effort is required to deduce from it a bound for weak solutions to the system of Equations (4). This “bonus” bound is due to the presence of the first-order dissipative operator in the modified equation that emerges upon the transformation (13). An operator of this type was originally employed in the study of the “lake” equation in [], where a time dependence of the index of the respective Gevrey class norm of the solution was assumed; our transformation (13) also introduces such a dependence but a different one.
5. A Priori Bounds for Approximants of Solutions to the System (4)
Here, we use Theorem 2 for constructing bounds for the Fourier–Galerkin approximants of solutions to the MHD system of Equations (4) in Sobolev and Wiener algebra norms that are uniform in the truncation parameter N. They feature the same exponents as those proven in []. A similar approach was entertained in [], where bounds for algebraic decay of high-order derivatives of strong solutions to the unforced Navier–Stokes equations in were constructed by bounding a single Gevrey class seminorm of the solutions.
Theorem 3.
For and any ,
where and depend only on the initial conditions at and parameters and η. For , are independent of , while for and are sublinear functions of .
The Proof differs in details when the inequalities for Sobolev and Wiener algebra norms are considered. It is presented in the next two sections.
5.1. Bounds in the Sobolev Space Norms
By the Cauchy–Schwarz inequality,
This implies
Integrating in time and using (29) yields
Hence, for and , the inequality
Hölder’s inequality, (33) and (29) imply
We can now establish a priori bounds for the truncated Fourier–Galerkin approximants (7) of solutions to the original equations of magnetohydrodynamics (4). By (21) and the inequality (11),
and hence applying (35) proves (32.1):
For , the exponents are obtained by interpolating between the endpoints of the interval and thus constitute a different family. Young’s inequality and the energy inequality for (4) prove (32.2):
Corollary 1.
For any , and :
where we have denoted and .
Proof of the Corollary
By (10), . We apply this inequality to and , and note . By (32.1),
□
For solutions to the Navier–Stokes equation, this was proven in []. Using (32.2), it is easy to derive the analogous exponents for the case .
5.2. A Priori Bounds for the Wiener Algebra Norm
We finish here the proof of Theorem 3.
The bound (32.3) follows from a bound for the Wiener algebra norm of the fields and . The norm of a field is defined as the sum of absolute values of its Fourier coefficients, i.e., a field has a finite Wiener algebra norm whenever its Fourier series converges absolutely; obviously, the norm bounds the field’s maximum. (Applying this Banach space proved useful, for instance, for estimating the dissipation length scale for turbulence [] and for showing time analyticity of solutions to the Euler equation in Lagrangian coordinates [,].) The proof exploits the following Lemma.
Lemma 1.
For any and p such that , and ,
where constants depend on p and a but not on Φ.
Proof.
Let denote the cube . Then
where
□
The bound (32.3) was proven for solutions of the Navier–Stokes equation for in [] (the authors attribute the proof to L. Tartar []) and for in [].
6. A Priori Bounds for Time Derivatives of Solutions to the System (4)
Similar bounds for higher-order norms of and can now be constructed by using space analyticity of the solutions to (4). An alternative derivation based on bounds (32.1) for the solutions is presented in Section 6.3.
Theorem 4.
Time derivatives of the solutions to the system of equations of magnetohydrodynamics (4) satisfy the following a priori inequalities:
Here, are sublinear functions of time that depend on the initial data and constants and η only.
Proof.
We have introduced a transformation (21) of coefficients of the Fourier–Galerkin approximants of solutions to (4). The modified coefficients satisfy the system of Equations (23) and the time derivatives of and can be expanded as follows:
where it is denoted
6.1. Bounds in the Sobolev Space Norms
We need to bound Sobolev norms of the quantities
Scalar multiplying (23.1) and (23.2) by and , respectively, and summing up the results over (note (8)) yields
(by the orthogonality (9))
for an arbitrary such that (the triangle inequality is applied to bound the exponential and the inequality (15) is used with and replacing and ). For different indices s of the norms, further derivations are similar but differ in details.
Proof of (36.1).
Consequently, (39) implies
Proof of (36.2).
For s in the subinterval , we assume and bound the last sum in (39) by
(see (18))
where the constant
has been introduced. For
we assume
and majorise the last sum in (39) as follows:
where . Applying now (41.1) or (41.2) (depending on to which of the two subintervals s belongs), we infer from (39)
(by Hölder’s inequality) for all the considered s in the interval .
For , the last term (arising from the nonlinear terms in (4)) in the r.h.s. of (42) becomes time-integrable upon raising to the power . For , the other two terms in the r.h.s. of (42), arising from the linear diffusivity terms in (4), are time-integrable when raised to the higher power
For ,
and therefore the terms describing diffusivity become integrable in time if raised to the power ; for they are finite at any time due to the energy inequality. Thus, for they do not affect the maximum power to which the l.h.s. of (42) can be raised without losing the time integrability. We conclude in view of relations (37), that for the integrals
remain bounded for all ; it is easy to deduce explicit expressions for in (36.2) from (42) and (29). Clearly, for the integrals remain finite when raised to any positive power.
6.2. Bounds in the Wiener Algebra Norms
6.3. Bounds for Time Derivatives Stemming from the Inequalities (32)
A priori bounds for higher-index norms of and can also be constructed following the standard techniques by using (4) directly. We show here that for , this yields inequalities similar to (36.1) and involving the same exponents (for which the norms of the second derivatives are guaranteed to be time-integrable).
We scalar multiply (6.1) and (6.2) by and , respectively, and sum up the results over (by virtue of (8)). Let us denote
Taking into account the orthogonality (9), the inequalities
(stemming from (15) where and and replace and , and from (16)) and similar ones for , and the embedding theorem inequalities (10), we obtain for
(for s > 0, we have used the invariance of the last sum under the change of the index k → n − k)
where . Now the identity , Young’s inequality and the inequality (34) yield for
implying a bound of the form (36.1).
7. From A Priori Bounds to Bounds for Weak Solutions
The goal of this section is to prove that a priori bounds (36) for the time derivatives of the Fourier–Galerkin approximants of solutions to the problem (4) are also satisfied by the derivatives of the weak solutions. In this section, the dependence of the approximants on the resolution parameter N is shown explicitly.
7.1. Justification of the Bounds (32) for the Weak Solutions
It is instructive to recall how weak solutions to (4) are constructed.
Theorem 5.
For any , there exists a subsequence such that, for all , and converge pointwise uniformly on to continuous functions and , respectively. The fields (5) are weak solutions to Equations (4). They belong to at any time and are weakly continuous in time in ; for all m. The energy inequality
is satisfied, as well as the bounds (32).
Proof.
Coefficients of the truncated series (7) satisfy Equations (6) which we consider on a time interval . Scalar multiplying (6.1) and (6.2) by and , respectively, and summing up yields
Here, and denote the initial fields upon projecting them onto the subspace in which the Fourier–Galerkin approximant of the solution is sought. In view of this inequality, integrating (6.1) over a time interval such that yields, for :
Similarly, from (6.2) we obtain
Inequality (46) implies that for each wave vector coefficients , as well as , are uniformly (over the resolution N) bounded on the given time interval. For each wave vector , by (47), the functional sets and are uniformly over N equicontinuous. Applying the Arzelà–Ascoli theorem and the diagonal process, we can extract a subsequence such that, for any , the approximants uniformly on converge to a continuous in time limit function and similarly . Now (5) are weak solutions to (4).
They must satisfy integral identities obtained by scalar multiplying (4.1) and (4.2) by arbitrary smooth space-periodic solenoidal test vector fields and , respectively, and integrating by parts over the cylinder so that the test fields only would be differentiated in the integrand. These identities can be proven by the standard arguments, taking the limit in (6) and recalling that convergence and is uniform in time and the embedding is compact. We do not provide a detailed proof here.
The equality (46) does not necessarily hold for weak solutions to (4), but it implies the inequality (45). To observe this, we consider partial sums truncated at a certain level .
In the limit for the chosen subsequence, this inequality takes the form
Since the latter inequality holds true for all truncation parameter values M, we obtain (45), whereby at any time and belong to .
In order to establish weak continuity of in time at time t, it suffices to show that, given a field , we can find such that
is below any given threshold. We split
By (47.1),
On increasing M, becomes sufficiently small and for this M the first term is made sufficiently small by choosing an appropriate . Weak continuity of is established along the same lines.
Like the energy inequality, (32) can be proven for the weak solution by passing to the limit in the a priori inequalities (32) for the approximants, where the norms of the approximants are replaced by the respective sums over wave vectors for . In the case of (32.3), we apply this procedure to the stronger inequality, where sums of absolute values of the Fourier coefficients of the respective terms replace the maxima in the l.h.s. □
7.2. A Bound for and for
We may try to apply a similar reasoning to establish bounds (36) for time derivatives of a weak solution to (4). By (36.3), for each wave vector , the derivatives and are uniformly (over the resolution parameter N) bounded on . We could apply the Arzelà–Ascoli theorem, if we showed that for each wave vector the functional sets and are uniformly (over ) equicontinuous. We need, therefore, bounds for second time derivatives of the approximants. Differentiating (6) in time yields
The r.h.s. of (51) involve first derivatives of the Fourier coefficients. Their bounds in the space fit best our goals. We obtain from (44):
where depends only on the parameters of the problem (the diffusivities and ) and the initial data and .
Bounds for the norms and of any index are suitable to establish equicontinuity for a fixed wave vector . We choose for simplicity because this provides an opportunity to employ the embedding theorem inequality (43). We scalar multiply (51.1) and (51.2) by and , respectively, use the inequality valid for and , sum up the results over and obtain
(by (43)) and thus by (52),
We observe that the r.h.s. of (53) involves powers of the sum that are too high (larger than 1) to guarantee the time integrability of the r.h.s. (apparently, this also happens for any larger s). Thus, the quadratic nonlinearity in (4) prevents us from demonstrating, by using (53) directly, that the derivatives and are uniformly (over the resolution parameter N) equicontinuous on for a given . Nevertheless, a subtler reasoning provides an opportunity to establish the desired result by using the bound (53) for times when is finite. We show this in Section 7.4.
7.3. The Singularity Set of Solutions to Equations of Magnetohydrodynamics
It was established in [,] that there exists an open set of times such that the norms of weak solutions to the Navier–Stokes equation are finite and continuous for all , and the complement has the Lebesgue measure zero provided that the initial condition belongs to . We apply now the approach of [] to the equations of magnetohydrodynamics (4).
We have shown that if is finite for some at a certain time , then for (see (49)) the solution consists of space-analytic vector fields.
Definition 1.
For , an open time interval such that is called an -regularity interval for a solution to (4), if on this interval and belong to and depend continuously on time in the norm . The open interval is called a maximal -regularity interval, if no larger -regularity interval including exists in for this solution.
Definition 2.
Suppose and belong to at a time for some . The open time interval is called the time interval of guaranteed space analyticity. An open interval is called a maximal interval of space analyticity, if there does not exist in any larger open interval on which this solution is space-analytic at any time, including .
Theorem 6.
Suppose and belong to for some . We focus on the solution for . Let be the intersection of with the union of all intervals of guaranteed space analyticity of the solution, such that their left ends t satisfy .
- i.
- The set is open. The Lebesgue measure of the complement is zero.
- ii.
- For any , maximal -regularity intervals coincide with maximal intervals of space analyticity.
- iii.
Proof.
By virtue of the energy inequality (45), the set
has the Lebesgue measure zero. Any time t in the complement can serve as the left end of an open interval of guaranteed space analyticity (by (50), has an empty intersection with ). The union of open intervals is open. Any connected component of is a maximal interval of space analyticity of the solution. The set consists of end points of such intervals and hence it is at most countable (since each interval contains a rational point) and has the Lebesgue measure zero. This proves i.
Let us consider a maximal -regularity interval for . Any point in is the left end of an interval of guaranteed space analyticity. These intervals cover the entire interval . If, otherwise, is not covered, then for any monotonically increasing sequence and a contradiction arises: by the time continuity of and on , the norms have a uniform upper bound in a sufficiently short closed interval and thus the lengths of the intervals of guaranteed space analyticity with the left ends have a uniform positive bound from below. Thus, belongs to a maximal interval of space analyticity.
In order to prove the converse, we note that at each point of a maximal interval of space analyticity, which we now denote , and are finite for any and hence the solution belongs to . Thus, to establish that belongs to a maximal -regularity interval, it suffices to show that the norms are continuous in time.
To perform this, we first show that and are uniformly bounded for any on a closed subinterval , where is sufficiently small. By construction, the maximal interval is covered by open intervals of guaranteed space analyticity. Hence, we can choose a finite coverage of . The function
is continuous on (see (48)). Consequently, is also continuous on and hence it admits its minimum on the closed interval . The minimum is strictly positive since its vanishing at a certain t would indicate that this t is outside of each of the K intervals covering the subinterval. Therefore,
is uniformly bounded on .
Second, for any s we establish the time continuity of the solution in the norm on the same closed subinterval. Due to convergence of the Fourier harmonics and on when , (47) implies
Thus,
which proves the continuity on , since and are uniformly bounded on this closed interval. Since is arbitrary, the solutions are continuous in time in the norm on the entire maximal interval of space analyticity.
If for some , the sum is bounded for a sequence of , then by (49) the intervals of guaranteed space analyticity beginning at have lengths bounded from below by a positive constant. This contradicts with the assumption that is a maximal interval of space analyticity of the solutions. Therefore, in every such interval . Statement is proven.
The transformation (21) of the Fourier coefficients introduced in Section 4 can be implemented for any , provided that the Fourier series is an analytic function that has a strictly positive size of the region of analyticity. In particular, such a transformation and construction of the transformed series and (22) is possible everywhere in , the resultant fields and belonging to . Consequently, any connected component of is also a maximal interval of -regularity of the solutions and to the auxiliary problem (24). The proof of the Theorem is completed. □
7.4. Application of (53) for Proving the Bounds (36) for Weak Solutions
We focus on the subsequence of the Fourier–Galerkin approximants , the limit of which is the weak solution at hand to (4) on a certain time interval . We prove here equicontinuity of the time derivatives and for each wave vector on any closed subinterval of a maximal interval of space analyticity. In order to carry over the bounds (36) to weak solutions, we apply a technical Theorem 7.
Theorem 7.
Let be a maximal interval of space analyticity and ϵ an arbitrary number satisfying . The Fourier–Galerkin approximants that tend to the weak solution to (4) under consideration converge in uniformly on the time interval and thus and are uniformly (over ) bounded on this interval.
Proof.
Let us consider a closed subinterval of a maximal interval of space analyticity, where . We exploit compactness of the embedding . By Theorem 6,
Since the maximum is finite,
where is arbitrary. The numbers
do not exceed the r.h.s. of (32.1) for , which is independent of N. Thus, for each N, there exists a point in the interval , at which
whereby
Due to the weak convergence and for , there exists such that
for all . Together, inequalities (55) imply that, given and , we can find for any a point in the interval at which the norms of the discrepancies , are controlled:
It is convenient to split the discrepancies in two parts:
Fourier coefficients of and satisfy the following equations for :
By (55.1), for the fixed and , discrepancies for satisfy the inequality
Scalar multiplying (57.1) and (57.2) for by and , respectively, and summing up the results yields
We bound the two sums in the r.h.s. of this inequality on the subinterval separately. The first one, (59.1), by Young’s inequality, does not exceed
((54) for and (58) have been used). The second sum, (59.2), has an upper bound
(Young’s inequality has been again employed).
The two bounds (60) give rise to a differential inequality for of the form
The constant in (61) is proportional to and, for small , the three remaining constants are O(1). Initial conditions (56) at are O(). Thus, (61) implies an O() upper bound for on the O(1)-long time interval . Consequently, uniformly on the interval in the limit and , and hence . This proves the Theorem. □
We are now in a position to achieve the goal of this section.
Theorem 8.
Time derivatives of weak solutions to the problem (4) obey the bounds (36).
Proof.
Evidently,
Hence, (53) for and (52) imply
where denotes the finite on the interval supremum (over ) of the middle part of this inequality. Therefore,
for any and belonging to this interval, whereby, for each wave vector , and are equicontinuous on this time interval. Relying on the Arzelà–Ascoli theorem and employing the diagonal process, we construct a subsequence such that, for any , the derivatives and converge uniformly on the interval to some continuous limit functions and , respectively. Taking the limit in the identities
we obtain the relations
which are equivalent to and .
Thus, for a subsequence of , and converge on the interval to the derivatives of the harmonics, and , respectively. Recalling that is an arbitrary sufficiently small number and considering now the problem for a sequence , we establish the convergence
on the entire -regularity interval for a subsequence of (for which we keep the notation ) by employing the diagonal process on increasing the interval. Since the -regularity intervals are countable, employing the diagonal process again, we can distill a subsequence for which the convergence occurs on the entire set , i.e., almost everywhere in the interval .
In order to show that the a priori bounds (36) hold true for the weak solutions of the problem (4), we note that the Fourier series for approximants truncated at a level M satisfy (36), e.g., (36.3) implies
Convergence of the time derivatives of individual harmonics almost everywhere being proven, this inequality, for a fixed M, holds upon taking the limit and then the inequality (36.3) for the weak solutions follows almost everywhere since M is arbitrary. Similarly, (36.1) implies
For a fixed M, the sum in the integrand converges almost everywhere for to the analogous sum for the Fourier coefficients of the weak solution. Hence, by Fatou’s lemma (see, e.g., []), the inequality holds true in the limit . Truncations being arbitrary, (36.1) follows for weak solutions as desired when . The inequality (36.2) is proven by a similar argument.
Finally, we use a similar approach to demonstrate the Wiener norm bound (36.4) for weak solutions. We have proven a stronger a priori bound
which implies (36.4). In view of convergence and when , by Fatou’s lemma this inequality holds true for truncated sums of the Fourier coefficients of weak solutions. Letting the truncation parameter tend to infinity proves (36.4) for the weak solution. □
8. Concluding Remarks
The similarity of the quadratic nonlinearity of the terms describing advection and the Lorentz force in the Navier–Stokes equation and in the magnetic induction equation has enabled us to carry over the results of the theory of the Navier–Stokes equation to the system of equations of magnetohydrodynamics. Namely, by applying the techniques of [], we have shown that the MHD solutions instantaneously acquire space analyticity, provided initially they have a minimum regularity of for (see Section 3). Next, following [] we have introduced the auxiliary problem (24) for vector fields, the Fourier series of which involve transformed coefficients (Section 4.1). Solutions to the auxiliary problem admit the energy-like a priory bound (29) (Section 4.2) that yields an integral bound for the norm of these solutions. The inverse of this norm serves as a lower bound for the size of the spatial analyticity region of the solutions to the original MHD problem; we thus obtain a simple proof that are space-analytic vector fields at almost all times. Relying on space analyticity, we derive a priori bounds for norms of the solutions for arbitrary indices s (Section 5.1) that are direct generalisations of the bounds derived in [] in the hydrodynamic setup. An integral a priori bound for the maximum of the flow velocity in the cube of periodicity was also presented ibid. We have expanded this result by constructing bounds for the Wiener algebra norms (i.e., the sums of absolute values of the Fourier coefficients) of the fields and for arbitrary (Section 5.2). It is notable that three independent approaches (the original one of [], the one relying on ladder inequalities [,,,] and the present one) yield the same exponents in (3), suggesting that these values are optimal and cannot be improved unless construction of the bounds is based on new, significantly different ideas. Finally, we have derived similar a priori integral bounds for the Sobolev space and Wiener algebra norms (Section 6) of and . Proving that the a priori bounds hold for the time derivatives of the weak MHD solutions (Section 7) is considerably more involved than those for the solution itself. This has required identifying the structure of the singularity set of the solution in the time domain and proving convergence in the norm of the relevant subsequence of the Fourier–Galerkin approximants at times in the complement to this set (Section 7.3). We have thus demonstrated that the bounds for the Sobolev and Wiener norms of the MHD solutions and their time derivatives stem from their space analyticity.
According to the present paradigm, the action of viscosity and diffusivity hampers the development of small-scale structures generated by the nonlinearity. Thus, bounding the diffusive and nonlinear terms jointly may be expected to result in more accurate bounds for a larger “number of derivatives” (i.e., for a higher-index Sobolev space norm). We have not achieved this when estimating the time derivatives of the MHD solutions: our bounds for the nonlinear advective terms are for the same index norms, as for the dissipative terms. Indirectly, this confirms that cancellation may be possible with the sum residing in a higher-index Sobolev space; our estimations are then too conservative.
The singularity set of a weak solution is the zero-measure complement to the union of its maximal intervals of space analyticity or the union of maximal -regularity intervals for any . If for a certain initial condition weak MHD solutions are non-unique, then their branching occurs only at times belonging to the singularity set. It is unclear, whether any specific techniques for constructing weak solutions favour some of them that are in some sense “better”. We may mention the prominent difference in construction of weak solutions using their Galerkin approximations (as we have done in this paper) or regularising the original system of MHD Equation (4). Regularisation can be achieved by introducing the hyperdiffusivity terms and into the r.h.s. of (4.1) and (4.2), respectively, for and (see []). Like in the hydrodynamic setup, it is easy to show that the regularised solutions are strong and unique, they depend continuously on , and any sequence contains a subsequence, for which the regularised solutions weakly converge to a weak solution to the original problem (4). Either such a limit weak solution is unique (i.e., a weak limit exists for ) or a continuum of weak solutions exist for the initial condition at hand. (This stems from the fact that is not a discrete parameter: If the limit is non-unique, then there exist vector fields and such that tends for some to distinct limits for two sequences , , (see Figure 1). By suitably rarefying the two sequences, we can render them intermittent: for all j. Let w satisfy for a sufficiently small . Due to the weak convergence, for a sufficiently large J and all for both sequences . Continuity in implies that there exists a sequence such that and
There exists a subsequence of for which the regularised solutions converge to a weak solution such that (62) evidently holds. Since the open interval consists of a continuum of such w, a continuum of weak solutions exist for the initial condition at hand.) While simple changes in the proofs of Theorems 2 and 3 suffice to specialise them for the solutions obtained by the hyperdiffusive regularisation of the problem (4), our proof cannot be modified straightforwardly to justify the bounds of Theorem 4 for time derivatives of these weak solutions.
Figure 1.
A sketch of behaviour of when two distinct limit weak solutions to the MHD equations coexist (see the text). Points (blue dots) tend to (black dots) for , . The sequence (red dots), where , exists due to continuity of in for . Dashed lines: boundaries of the regions .
Funding
This research received no external funding.
Conflicts of Interest
The author declares no conflict of interest.
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