Weak solutions of ideal MHD which do not conserve magnetic helicity
Rajendra Beekie, Tristan Buckmaster, Vlad Vicol

TL;DR
This paper constructs finite energy weak solutions to the ideal MHD equations that do not conserve magnetic helicity, challenging assumptions about the behavior of such solutions in the zero viscosity limit.
Contribution
It introduces a Nash-type convex integration method tailored to MHD, demonstrating non-conservation of magnetic helicity in finite energy weak solutions.
Findings
Existence of weak solutions with non-constant magnetic helicity.
Weak solutions can have finite energy without conserving magnetic helicity.
Supports the idea that ideal MHD solutions may not be physically realizable as limits of viscous solutions.
Abstract
We construct weak solutions to the ideal magneto-hydrodynamic (MHD) equations which have finite total energy, and whose magnetic helicity is not a constant function of time. In view of Taylor's conjecture, this proves that there exist finite energy weak solutions to ideal MHD which cannot be attained in the infinite conductivity and zero viscosity limit. Our proof is based on a Nash-type convex integration scheme with intermittent building blocks adapted to the geometry of the MHD system.
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Weak solutions of ideal MHD which
do not conserve magnetic helicity
Rajendra Beekie Courant Institute of Mathematical Sciences, New York University. [email protected].
Tristan Buckmaster Department of Mathematics, Princeton University. [email protected].
Vlad Vicol Courant Institute of Mathematical Sciences, New York University. [email protected].
Abstract
We construct weak solutions to the ideal magneto-hydrodynamic (MHD) equations which have finite total energy, and whose magnetic helicity is not a constant function of time. In view of Taylor’s conjecture, this proves that there exist finite energy weak solutions to ideal MHD which cannot be attained in the infinite conductivity and zero viscosity limit. Our proof is based on a Nash-type convex integration scheme with intermittent building blocks adapted to the geometry of the MHD system.
1 Introduction
We consider the three-dimensional incompressible ideal magneto-hydrodynamic (MHD) equations
[TABLE]
posed on the periodic box , for the velocity field , the magnetic field , and the scalar pressure . This is the classical macroscopic model coupling Maxwell’s equations to the evolution of an electrically conducting fluid/plasma [4, 26, 53].
1.1 MHD conservation laws
The ideal MHD equations (1.1) posses a number of conservation laws, which inform the class of solutions we work with. The mean of and over are conserved in time (even for weak solutions) and thus we consider solutions of (1.1) such that . For smooth solutions of (1.1) the coercive conservation law, and in fact Hamiltonian [58, 42] of the system, is given by the total energy
[TABLE]
This motivates us to work with solutions to (1.1) such that for all times . At this regularity level the cross helicity
[TABLE]
is well-defined, and (1.1) formally conserves the cross helicity. Lastly, we mention the conservation of the magnetic helicity [59, 60, 47], defined as
[TABLE]
where is a vector potential for , i.e. . As we work on the simply connected domain , the value of is independent of the choice of . Indeed, keeping in mind the Helmholtz decomposition we note that the gradient part of is orthogonal to , and thus may be chosen without loss of generality such that and . Throughout the paper we work with this representative vector potential given by the Biot-Savart law: . This also justifies our generalized helicity notation used above: (see also [42]).
We emphasize that as opposed to the total energy and cross helicity (the so-called Elsässer energies [2]), the magnetic helicity lies at a negative regularity level, namely . This subtle difference points to the fact that magnetic helicity plays a special role among the conserved quantities of (1.1), a fact which is famously manifested in the context of reconnection events in magneto-hydrodynamic turbulence. While turbulent low-density plasma configurations are observed to dissipate energy [46, 24], it is commonly accepted knowledge in the plasma physics literature that the magnetic helicity is conserved in the infinite conductivity limit. This striking phenomenon is known as Taylor’s conjecture [56, 57, 3, 32, 48], and we recall in Section 1.3 its mathematical foundations [14, 35]. In contrast, our main result (cf. Theorem 1.4) shows that there exist weak solutions of the ideal MHD equations (cf. Definition 1.1) whose magnetic helicity is not a constant function of time. We thus prove that the ideal-MHD-version of Taylor’s conjecture is false.
1.2 Weak solutions and Onsager exponents for MHD
Before stating our result precisely, we recall a number of previous works on this subject. First, we introduce the notion of weak/distributional solutions to (1.1) that we consider in this paper. We work with solutions of regularity at the level of the strongest known coercive conservation law, i.e., they have finite energy.
Definition 1.1** **(Weak solution).
We say is a weak solution of the ideal MHD system (1.1) if for any the vector fields are divergence free in the sense of distributions, they have zero mean, and (1.1) holds in the sense of distributions, i.e.
[TABLE]
hold for all divergence free test functions .
In analogy with the famed Onsager conjecture for weak solutions of the 3D Euler equations [51], it is natural to ask the question of the minimal regularity required by weak solutions of (1.1) to respect the ideal MHD conservation laws: the energy , the cross helicity , and the magnetic helicity . Once a suitable scale of Banach spaces is fixed to measure regularity, this putative minimal regularity exponent defines a critical/threshold exponent above which all weak solutions obey the given conservation law (the rigid side), while below this exponent there exist weak solutions which violate it (the flexible side). See [43], where this question is posed for general nonlinear, supercritical, Hamiltonian evolution equations (3D Euler and 3D MHD being examples of such systems), [11, Remark 1.8] in the context of the SQG system, and [40] for more general active scalar equations.
Concerning the conservation of the quantities and , similar results have been established in parallel to the rigid side of the Onsager conjecture in 3D Euler [22, 33, 15]. To see this, recall that the Elsässer variables are incompressible and obey , where . Using the commutator estimates of [22], Caflisch-Klapper-Steele [14] proved the conservation of energy and cross helicity for weak solutions with . See also [41] who use the methods of [15] to reach the endpoint case .
The analogy with 3D Euler spectacularly fails when we consider the flexible part of the Onsager question, namely to construct weak solutions to (1.1), in the sense of Definition 1.1, with regularity below when measured in , that do not conserve energy, or cross helicity. For 3D Euler the Onsager conjecture is now solved, cf. Isett [38], and B.-De Lellis-Székelyhidi-V. [10] for dissipative solutions. In contrast, for 3D MHD the only non-trivial (i.e. ) non-conservative example arises when one imposes a symmetry assumption which embeds the system into a D Euler flow: if solves 3D Euler, then setting and , the resulting independent functions solve the ideal MHD system. This symmetry reduced system is used by Bronzi-Lopes Filho-Nussenzveig Lopes in [5] to construct an example with not constant. Note however that in this case both the cross helicity and the magnetic helicity vanish identically, so that are conserved. Thus, to date there are no known examples of non-conservative, truly 3D, weak solutions to (1.1). The only attempt at constructing wild solutions is the work of Faraco-Lindberg [34], who use the ideas of De Lellis-Székelyhidi [27] and the Tartar framework [55] to show that there do in fact exist non-vanishing smooth strict subsolutions of 3D ideal MHD with compact support in space-time. However, the interior of the 3D -convex hull is empty, and it is not known if a convex integration approach would succeed to construct an actual weak solution, starting with this subsolution. In fact, in this same paper [34] it is shown that ideal 2D MHD does not have weak solutions (or even subsolutions) with compact support in time and with . The emptiness of the interior of the 3D -convex hull for (1.1) may seem like just a technical obstacle for the flexible part of the Onsager question. There is, however, a fundamental physical reason why the construction of weak solutions to (1.1) fails. A convex integration scheme which would produce weak solutions such that and are non-constant, would inadvertently also show that is non-constant. This is, however, impossible: the magnetic helicity is conserved by weak solutions under much milder assumptions. We note that a parallel obstruction for convex-integration constructions occurs in the setting of the SQG equation: the kinetic energy conservation requires that the potential vorticity has regularity, whereas the conservation of the Hamiltonian only requires integrability [40, 11].
Indeed, Caflisch-Klapper-Steele prove in [14] that the magnetic helicity is conserved by weak solutions of (1.1) as soon as with . Note the considerably weaker condition for conservation, as opposed to for . Kang-Lee [41] and subsequently Aluie [1] and Faraco-Lindberg [34] were able to derive the endpoint case which states that magnetic helicity is conserved as soon as . This discrepancy between the requirements for energy and magnetic helicity conservation is the underlying physical difficulty to our construction, known in the plasma physics community as Taylor’s conjecture (discussed in Section 1.3 below).
Whether the regularity threshold for the conservation of is sharp remains open. As mentioned before, we do not have examples of non-conservative solutions to (1.1). This open problem is stated explicitly in [35]: “It is still open whether magnetic helicity is conserved if and belong to the energy space ”. In this paper we answer this question in the positive, see Theorem 1.4.
1.3 Taylor’s conjecture
Before turning to our main result, we briefly discuss the mathematical aspects of Taylor’s conjecture, which has interesting consequences concerning the set of weak solutions to (1.1).
The viscous ( and resistive () MHD equations are given by
[TABLE]
In analogy to the 3D Navier-Stokes equation, using the energy inequality for (1.2)
[TABLE]
it is classical to build a theory of Leray-Hopf weak solutions for (1.2). These are solutions with which obey (1.3) for a.e. and all . Note that the only uniform in bounds for Leray-Hopf weak solutions to (1.2) are at the regularity level, as in Definition 1.1. Following [35, Definition 1.1] we recall the definition:
Definition 1.2** (Weak ideal limit [35]).**
Let be a sequence of vanishing viscosity and resistivity. Associated to a sequence of divergence free initial data converging weakly in , let be a sequence of Leray-Hopf weak solutions of (1.2). Any pair of functions such that in , are called a weak ideal limit of the sequence .
Note in particular that a weak ideal limit need not be a weak solution of the ideal MHD equations (1.1). Taylor’s conjecture states that weak ideal limits of Leray-Hopf weak solutions to (1.2) conserve the magnetic helicity. This was proven recently in [35]:
Theorem 1.3** (Proof of Taylor’s conjecture [35]).**
Suppose is a weak ideal limit of a sequence of Leray-Hopf weak solutions. Then is a constant function of time. In particular, finite energy weak solutions of the ideal MHD equations (1.1) which are weak ideal limits, conserve magnetic helicity.
The proof of Theorem 1.3 given in [35] (who also consider domains which are not simply connected) has three ingredients: Leray-Hopf weak solutions to (1.2) have desirable properties which may be deduced from (1.3), the magnetic helicity is bounded as soon as , and the fact is compact (we work with zero mean functions). We recall this argument in Appendix B and note that similar proofs appear in the context of the 2D Euler equations [16] and of the 2D SQG equations [20].
In conclusion, we emphasize that there is a substantial integrability/scaling discrepancy between the results of [41, 1, 34], which consider the conservation of directly for weak solutions of ideal MHD, and the result of Taylor’s conjecture [35], which considers weak solutions to (1.1) that arise as weak ideal limits from (1.2). The first set of results require integrability to guarantee that the magnetic helicity is constant in time, while the second result requires merely integrability. Thus, there is additional hidden information in the definition of a weak ideal limit, a ghost of the energy inequality (1.3). Our goal in this paper is to show that this scaling discrepancy is real, by proving that there exist weak solutions to ideal MHD which do not conserve magnetic helicity (see Section 1.4 for details).
1.4 Results and new ideas
In this paper we prove the existence of non-trivial non-conservative weak solutions to (1.1) with finite kinetic energy. For clarity of the presentation, we only prove the simplest version of this statement:
Theorem 1.4** **(Main result).
There exists such that the following holds. There exist weak solutions of (1.1), in the sense of Definition 1.1, which do not conserve magnetic helicity. In particular, there exist solutions as above with and . For these solutions the total energy and cross helicity are non-trivial non-constant functions of time.
To the best of our knowledge Theorem 1.4 provides the first example of a non-conservative weak solution to the ideal MHD equations, for which and are all non-trivial. A direct consequence of our result is the non-uniqueness of weak solutions to (1.1) in the sense of Definition 1.1. In fact, at this regularity level, Theorem 1.4 also gives the first existence result for weak solutions to (1.1), as the usual weak-compactness methods from smooth approximations fail, for the same reasons they fail in 3D Euler. In fact, we note that in view of Theorem 1.3, the weak solutions of 3D ideal MHD which we construct in Theorem 1.4 cannot be obtained as weak ideal limits from 3D viscous and resistive MHD.
The regularity of the weak solutions from Theorem 1.4 is slightly better than , as the parameter is very small (as in [13]). In view of the conservation of magnetic helicity in , and of the Sobolev embedding, any construction of non-conservative weak solutions in must have . However, it seems that fundamentally new ideas are needed to substantially increase the value of in Theorem 1.4. Additionally, making progress towards the flexible side of an Onsager conjecture for ideal MHD, i.e. to construct weak solutions in with which do not conserve total energy seems out of reach of current methods (such solutions would need to conserve magnetic helicity, but not total energy).
The proof of Theorem 1.4 is based on a Nash-style convex integration scheme with intermittent building blocks adapted to the specific geometry of the MHD system. For the 3D Euler equations, Scheffer [52] and Shnirelman [54] first gave examples of wild solutions in , respectively , while De Lellis-Székelyhidi [27] have placed these constructions in a unified mathematical framework. Convex integration schemes based on the ideas of Nash [49] were first used in the context of the 3D Euler system by De Lellis-Székelyhidi in the seminal work [28]. A sequence of works [29, 8, 6, 9, 39, 25] further built on these ideas, leading to the resolution of the Onsager conjecture by Isett [38, 37]. For dissipative solutions, the proof of the flexible side of the Onsager conjecture was given by B.-De Lellis-Székelyhidi-V. [10] (see [30, 12] for recent reviews). Nash-style convex integration schemes in Hölder spaces were also applied to other classical hydrodynamic models [40, 11, 18, 50]. The last two authors’ work [13] introduced intermittent building blocks in a -based convex integration scheme in order to construct weak solutions of the 3D Navier-Stokes equations (3D NSE) with prescribed kinetic energy. These ideas were further developed in [7] to construct intermittent weak solutions of 3D NSE with partial regularity in time, in [44, 7] for the hyperdissipative problem, in [45, 17] for the stationary problem, and in [23] to treat the Hall-MHD system. We note that Dai’s [23] non-uniqueness result fundamentally relies on the presence of the Hall term which is of highest order and is not present in the ideal MHD system. We refer to the review papers [30, 31, 12] for further references.
The main difficulties in proving Theorem 1.4 arise from the specific geometric structure of 3D MHD which we describe next, along with the main new ideas used to overcome them. First, the intermittent constructions developed in the context of 3D NSE [13, 7, 17], more specifically the building blocks of these constructions (intermittent Beltrami flows, intermittent jets, respectively viscous eddies), are not applicable to the ideal MHD system. Informally speaking, for 3D NSE one requires building blocks with more than 2D intermittency, whereas the geometry of the nonlinear terms of 3D MHD system requires the building blocks’ direction of oscillation to be orthogonal to two direction vectors, only permitting the usage of 1D intermittency (co-dimension ). In particular, our construction does not work for the 2D MHD system, as expected [34]. Our solution is based on constructing (see Section 5) a set of intermittent building blocks adapted to this geometry, which we call intermittent shear velocity flows and intermittent shear magnetic flows. Their spatial support is given by a thickened plane spanned by two orthogonal vectors and , whereas their only direction of oscillation is given by a vector which is orthogonal to both and . The second fundamental difference is that in 3D NSE intermittency is only used to treat the linear term , as an error term. In the case of 3D ideal MHD it turns out that intermittency is used to treat the nonlinear oscillation terms. Due to the two dimensional nature of their support, the interaction of different intermittent shear flows is not small when measured using the usual techniques. At this point intermittency plays a key role: we note that the product of two rationally-skew-oriented 1D intermittent building blocks is more intermittent than each one of them: it has 2D intermittency because the intersection of two thickened (nonparallel) planes is given by a thickened line, which has 2D smallness.
We remark that a similar method to the one outlined here, combined with suitable localization arguments, should be able to yield the existence of weak solutions to ideal 3D MHD which have compact support in physical space and which do not conserve magnetic helicity (see [36, 21] for the construction of smooth and of rough solutions to steady ideal MHD with compact support). Such a construction would permit the treatment of non-simply-connected domains, an important geometry in plasma physics (e.g. tokamaks).
We also note that the construction given in this paper describes an algorithm with very explicit steps. Moreover, as opposed to Euler convex integration schemes, one does not need to numerically solve a large number of transport equations, which is computationally costly. It would be very interesting to implement the construction given below on a computer, and to visualize the emerging intermittent MHD structures.
2 Outline of the paper
The proof of Theorem 1.4 relies on constructing solutions for every integer to the following relaxation of (1.1):
[TABLE]
where is a symmetric traceless matrix which we call the Reynolds stress and is a skew-symmetric matrix which we call the magnetic stress. We recover the pressure by solving the equation with . We construct solutions to (2.1) such that the Reynolds and magnetic stresses go to zero in a particular way as , so that in the limit we obtain a weak solution of (1.1).
In order to quantify the convergence of the stresses we introduce a frequency parameter and an amplitude parameter defined as follows:
[TABLE]
where is a (very small) regularity parameter and are both large. By induction, we will assume the following bounds on the solution of (2.1) at level :
[TABLE]
The constants and are universal: only depends on fixed geometric quantities, and depends on and other geometric quantities. We can assume that . We note that, unless otherwise stated, will be used as shorthand for . Moreover, we write to denote .
Proposition 2.1** **(Main Iteration).
There exist constants and such that for any natural number there exist functions which solve (2.1) and satisfy (2.3) and (2.4) at level . Furthermore, they satisfy
[TABLE]
Sections 3–6 contain the proof of Proposition 2.1, while the proof of Theorem 1.4 is given in Section 7.
3 Mollification
It is convenient to mollify the velocity and the magnetic field to avoid the loss of derivatives problem. Let be a family of standard Friedrichs mollifiers on and let be a family of standard Friedrichs mollifiers on . Define a mollification of in space and time at length scale by
[TABLE]
Using (2.1a) and (2.1b), and satisfy
[TABLE]
where the traceless symmetric commutator stress and the skew-symmetric commutator stress are given by
[TABLE]
and is defined as
[TABLE]
Using standard mollification estimates and (2.3)–(2.4) we have the following estimates for and :
[TABLE]
For we use the double commutator estimate from [19] and the inductive estimates (2.3)–(2.4) to conclude
[TABLE]
Since and satisfy the same inductive estimates, we have the same bound from (3.3):
[TABLE]
We will choose the mollification length scale so that both (3.3) and (3.4) are less than : using (2.2) this implies that must satisfy
[TABLE]
If we define as
[TABLE]
then (3.5) translates into .
Remark 3.1**.**
The implicit constants appearing in (3.3) and (3.4), as well as later inequalities in this paper, will depend on the mollifiers, (see Remark 4.3), (see Section 5), and various other geometric quantities. In particular, none of the implicit constants will depend on . By taking to be sufficiently large we will be able to use a small power of to absorb the implicit constants and have bonafide inequalities.
4 Linear Algebra
As with previous convex integration schemes, we construct perturbations to add to the velocity and magnetic fields to reduce the size of the stresses. The following two lemmas are an important part of designing the perturbations so that this cancellation of the previous stress occurs. The proofs are given in Appendix A.
Lemma 4.1** **(First Geometric Lemma).
There exists a set that consists of vectors with associated orthonormal bases , , and smooth positive functions , where is the ball of radius centered at 0 in the space of skew-symmetric matrices, such that for we have the following identity:
[TABLE]
Lemma 4.2** **(Second Geometric Lemma).
There exists a set that consists of vectors with associated orthonormal bases , , and smooth positive functions , where is the ball of radius centered at the identity in the space of symmetric matrices, such that for we have the following identity:
[TABLE]
Furthermore, we may choose such that .
Remark 4.3**.**
By our choice of and and the associated orthonormal bases, there exists with
[TABLE]
For instance, suffices.
Remark 4.4**.**
Let be a geometric constant such that
[TABLE]
This parameter is universal. We will need this parameter later when estimating the size of the perturbations, see (5.2.1) and (5.2.1).
5 Constructing the Perturbation: Intermittent Shear flows
Let be a smooth cutoff function supported on the interval . Assume it is normalized in such a way that satisfies
[TABLE]
For a small parameter , define the rescaled functions
[TABLE]
which implies the relation . We periodize and so that we can view the resulting functions (which we will also denote as and ) as functions defined on . For a large parameter such that and the intermittent shear velocity flow is defined as
[TABLE]
and the intermittent shear magnetic flow is defined as
[TABLE]
where the notation at the subindex is shorthand for a dependence on other parameters. The fields and are periodic, have zero mean, and are divergence free. We introduce the shorthand notation
[TABLE]
which allows us to write the intermittent fields more concisely as
[TABLE]
Note that by the choice of normalization for , we have
[TABLE]
This sets the zeroth Fourier coefficient for to equal and implies that .
5.1 Estimates for and
Lemma 5.1**.**
For and we have the following estimates for and :
[TABLE]
Furthermore, we have the following estimate for the size of the support of :
[TABLE]
where denotes Lebesgue measure and the implicit constant only depends on the wavevector sets and fixed geometric quantities.
Proof of Lemma 5.1.
First, we estimate the norm. Let be a multiindex such that . Then,
[TABLE]
where . Using the definition of we have that
[TABLE]
Since is a smooth compactly supported function this implies that
[TABLE]
Next, we estimate the norm. To do this, we first obtain a bound on the size of the support of , as claimed in (5.3). Recall that is -periodic. Therefore, on can be thought of as being made of copies of defined on cubes of side length . Thus, it suffices to obtain an estimate on cubes with side length and then multiply the resulting estimates by . Due to the periodicity of , in one of these cubes the support of consists of parallel planes with thickness . The minimum distance between the planes is bounded below by where depends only on the wavevector sets (specifically, is the minimum distance from the planes determined by to a point in ; by the rationality of the entries of and since there are only a finite number of wavevectors this number is finite). Since the side length of the cubes is , the the maximum number of thickened planes that could compose the support of is bounded by . Therefore, over the small cube we have a support bound given by where is a constant depending on the wavevector sets and other geometric quantities. Multiplying this bound by gives the desired support estimate for whole torus.
The estimate follows from the support bound. Using Hölder’s inequality, (5.4), and (5.3) we have
[TABLE]
Interpolating between the and yields the desired estimate for all . Repeating the same analysis for gives the desired conclusion. ∎
Lemma 5.2** **(Product estimate).
For , , and we have the following estimate
[TABLE]
Furthermore, we have the following estimate for the size of the support of :
[TABLE]
where the implicit constant only depends on the wavevector sets and fixed geometric quantities.
Proof of Lemma 5.2.
Proceeding as before, we first estimate the norm. Using (5.2) with yields
[TABLE]
We now obtain a bound on the support of the function for . As in the proof of Lemma 5.1 it suffices to obtain an estimate on cubes with side length and then multiply the resulting estimates by . Since the support of consists of parallel planes with thickness , the support of will consist of the intersection of these thickened planes, which are thickened lines with cross-sectional area where is the angle between and . Since there are only a finite number of wavevectors, there is a minimal separation angle . Therefore the cross-sectional area for an individual cylinder is bounded by where is some constant depending on the wavevector sets and other geometric quantities. To estimate the total number of intersections of the planes in a given cube, we note that since the total number of thickened planes in the support of in a small cube is bounded by the number of intersection points for two distinct planes is bounded by . Finally, the length of such an intersection is bounded by the main diagonal of the cube, therefore it is bounded by . Combining all of this, we conclude that, over an individual cube with side length , the measure of the support of is bounded by . Multiplying by the total number of cubes gives the bound in (5.6).
We now proceed with the estimate using Hölder’s inequality, (5.7), and (5.6):
[TABLE]
By interpolation between the and norms we obtain the desired result. ∎
We will now fix the values of the parameters and . We set
[TABLE]
The requirement that implies that from (2.2) should be divisible by 4.
Remark 5.3**.**
Now that we have defined all the fundamental parameters, we can specify values that allow the proof of Proposition 2.1 to close. If we let then and are allowable choices.
5.2 The Perturbation
5.2.1 Amplitudes
To apply the geometric lemmas we need pointwise control over the size of the stresses. However, the stresses are not necessarily spatially homogeneous, so we need to divide them by suitable functions to ensure that they are pointwise small, as well as small in . To achieve this, we follow [44]. Let be a smooth function satisfying
[TABLE]
with for .
Next, we define
[TABLE]
where is as in Lemma 4.1. The key properties of are that pointwise we have
[TABLE]
and that for all the bound
[TABLE]
holds. By using standard Hölder estimates (see, for example, [8, Appendix C]), (3.2), the ordering , and the gain of integrability for mollified functions we have
[TABLE]
for .
We then define the magnetic amplitude functions
[TABLE]
By (5.8), (2.3), the fact that mollifiers have mass , and by choosing sufficiently small, we have
[TABLE]
where is defined in Lemma 5.4. The reason for the strange prefactor in front of the is because the magnetic amplitudes will be used to define two different objects which need to satisfy different sets of bounds (for details, see the discussion preceding (5.15) and (5.35) below). Using (5.9b) we arrive at
[TABLE]
for .
The motivation for definition (5.10) is as follows: by (5.1) we have
[TABLE]
where denotes spatial average over and denotes projection onto nonzero Fourier modes. Multiplying through by , summing over , and using Geometric Lemma 1 gives
[TABLE]
Before we give the definition of the velocity amplitude functions we note that we need to account for two key differences with the magnetic amplitudes: Geometric Lemma 2 allows us to cancel matrices in a neighborhood of the identity as opposed to the origin. In order to cancel both stresses, the velocity perturbation will need to have wavevectors from both and (see (5.21a)). To address this second issue we define
[TABLE]
Note that since only depends on , we have that is a function of . By using that , (3.2), (5.9a), and (5.2.1), for we have
[TABLE]
Next, define and the associated velocity amplitudes as
[TABLE]
Comparing (5.10) and (5.16) we notice that the definitions of for , respectively for , differ slightly. Throughout the paper we abuse this notation and write for and also for . With these definitions we have the following properties for and :
[TABLE]
and we have for all
[TABLE]
Using (5.2.1), (5.17), the fact that mollifiers have mass , (2.4), and choosing sufficiently small we have
[TABLE]
Note that only depends on and which are fixed at the beginning of the induction. In particular, does not depend on the value of so there is no circular reasoning caused by depending on . Using the same techniques used to derive (5.12) with (5.15) we have for
[TABLE]
Analogous reasoning to that used in (5.13) for the coefficients defined for gives
[TABLE]
Thus, if we define the the principal part of the perturbations and as
[TABLE]
then in the nonlinear term in the magnetic equation we can use (5.13) to write
[TABLE]
while for the velocity equation we have that
[TABLE]
where the terms and are defined by the first, respectively second line of the above. Using the identity
[TABLE]
which follows from (5.14), and appealing to (5.20), we rewrite the term as
[TABLE]
Therefore, combining (5.23) and (5.24), we arrive at
[TABLE]
The calculation in (5.25) motivates the definition of : due to the fact that needs more wavevectors than , we get an extra self-interaction term in the expansion of that is too large to go into the next Reynolds stress so must be cancelled completely.
Note that as a consequence of the definitions (5.21), the estimates (5.2), (5.12), (5.19), and the parameter inequality we have
[TABLE]
5.3 Incompressibility Correctors
Due to the spatial dependence of the amplitudes , the principal parts of the perturbation, and , are no longer divergence free. To fix this, we define incompressibility correctors analogously to [7]. First define
[TABLE]
Then we define the incompressibility correctors
[TABLE]
With this definition we see that
[TABLE]
and
[TABLE]
From (5.3) and (5.29) we deduce that , which justifies the definitions of the incompressibility correctors.
Using (5.27), (5.12), and (5.2), and the fact that we obtain for any
[TABLE]
Using (5.19) for we also have that
[TABLE]
Thus, by (5.19), (5.12), (5.2), and we obtain
[TABLE]
Lastly, we define the velocity and magnetic perturbations:
[TABLE]
and the next iterate:
[TABLE]
5.4 Decorrelation
In order to verify the inductive estimates on the perturbations and we will need the Decorrelation Lemma from [13], which we record here for convenience.
Lemma 5.4** ( Decorrelation).**
Fix integers N, and let be such that
[TABLE]
Let , and let be a -periodic function such that there exists a constant such that
[TABLE]
holds for all . In addition, let be a function. Then we have that
[TABLE]
where is a universal constant.
We will apply this lemma with , , , and . The choice of and depends on the wavevector set. For , using (5.2.1), (5.12), and that we have for
[TABLE]
For , using (5.2.1) and (5.19) gives
[TABLE]
Thus we can take and for and with for . We are justified in applying the decorrelation lemma with the above chosen parameters because which is the most restrictive condition coming from our choice of parameters.
Applying Lemma 5.4 gives
[TABLE]
since was normalized to have unit average over .
5.5 Verification of inductive estimates
Using (5.3) and (5.35) we can verify inductive estimates (2.3) and (2.4). For the magnetic increment we have the bound
[TABLE]
where we used an extra power of to absorb any implicit constants coming from (5.3) and that in the last inequality. Similarly, for the velocity we have
[TABLE]
Applying standard mollification estimates, using (2.3), (2.4), and
[TABLE]
and
[TABLE]
Combining (5.39), (5.37), (5.40), and (5.5) for the magnetic field and velocity respectively we obtain
[TABLE]
as desired.
Now we check the norm:
[TABLE]
where we used that . The same reasoning shows that as well.
We finish by checking the estimate for the velocity and magnetic field at level : using the parameter inequality , and the bounds (5.26), (5.32), we have
[TABLE]
and
[TABLE]
6 Reynolds and Magnetic Stress
6.1 Symmetric Inverse divergence
In order to define the Reynolds and magnetic stress we need an inverse divergence operator that acts on mean-free vector fields. For the Reynolds stress it suffices to use the inverse-divergence operator from [28]:
[TABLE]
where . The operator returns a symmetric, trace-free matrix and satisfies the following key identity for mean-free vector fields: . Note that is a Calderon-Zygmund operator.
6.2 Skew-Symmetric Inverse divergence
Unlike in previous convex integration schemes, we will also need an inverse divergence that returns skew-symmetric matrices as opposed to symmetric trace-free ones. We will denote this operator as . We want where and . If we define
[TABLE]
where is the Levi-Civita tensor and , then a direct calculation of the divergence (contracting along the second index) shows that . Again, is a Calderon-Zygmund operator.
6.3 Decomposition of the stresses
Our goal is now to show that the stresses and satisfy (2.4) and (2.3). However, we must first determine and . To do this, consider the equation satisfied by :
[TABLE]
and
[TABLE]
Applying the symmetric and skew-symmetric inverse divergence operators allows us to define the different parts of the Reynolds and magnetic stresses as follows:
[TABLE]
and
[TABLE]
The associated pressure terms are defined as and . In order to determine the equation for , we use (5.22) and the fact that , and obtain
[TABLE]
Here and throughout the paper we use the notation to denote the contraction on the second component of the tensor, namely . Similarly, to find and we appeal to (5.25) and apply the divergence operator, to arrive at
[TABLE]
where
[TABLE]
Therefore, from (6.7) we have that the magnetic oscillation stress is given by
[TABLE]
while from (6.8) we deduce that the Reynolds oscillation stress is defined as
[TABLE]
In conclusion, we note that the pressure at level is given by , while the magnetic and Reynolds stresses are given respectively by
[TABLE]
6.4 Estimates for the magnetic stress
In order to estimate the stresses in , since Calderon-Zygmund operators are not bounded on , we fix an integrability parameter sufficiently close to , which we will use whenever we have a stress term that involves a Calderon-Zygmund operator.
6.4.1 Linear Error
We first estimate the time derivative term in (6.3). By (5.29) we have . Therefore using (5.12), the definition of in (5.27), and (5.1) we have
[TABLE]
where we used the fact that to remove the (good) factor from the estimate.
Next we estimate the high-low interaction terms present in (6.2). First we write so we have . We will only show how to estimate one term since the other terms can be handled similarly. By (2.4), regularizing properties of mollification, (5.3), and (5.2) we have
[TABLE]
where we used that . The same estimate also holds for the term . Therefore,
[TABLE]
6.4.2 Oscillation Error
In order to estimate the magnetic oscillation stress we use (6.9) to decompose it into two parts:
[TABLE]
where
[TABLE]
First note that since , we can conclude that is mean free. A calculation also shows that so is well-defined. Therefore it suffices to estimate and individually. For , we note that since is periodic, so is . Therefore the minimal active frequency in is ; we have that . This allows us to exploit the frequency separation between and and gain a factor of from the application of . To be precise, we recall Lemma B.1 from [13]:
Lemma 6.1**.**
Fix parameters , and assume there exists an such that
[TABLE]
Let be such that there exists with
[TABLE]
for all . Assume also that is such that . Then we have
[TABLE]
where the implicit constant depends only on and .
Using (5.15) we see that we can apply Lemma 6.1 with and parameter values , , , and . We are justified in these choices because . Applying Lemma 6.1 and (5.1) yields
[TABLE]
For the second term in the decomposition of , namely , we apply the product estimate (5.5), along with the magnitude bounds (5.12) and (5.19) to derive
[TABLE]
Combining the estimates for and we conclude that
[TABLE]
upon recalling that , and that is close to .
6.4.3 Corrector Error
Due to the smallness of the corrector terms, to estimate (6.4), it suffices to simply apply Cauchy-Schwarz and use (5.3), (5.31), (5.37), and (5.5):
[TABLE]
This concludes the estimates necessary to bound .
6.5 Estimates for the Reynolds stress
6.5.1 Linear Error
To bound (6.5) we proceed just as we did for (6.3). As we had for the magnetic perturbations, by (5.3) we have . Therefore we can obtain the same estimate as in (6.4.1) except we account for the worse amplitudes estimates we get for :
[TABLE]
Furthermore, an examination of (6.4.1) shows that the same bound will hold for cross terms in the Reynolds stress (again using the fact that ):
[TABLE]
Therefore we obtain the same bound for the linear Reynolds stress as we had obtained earlier for the linear magnetic stress in (6.4.1):
[TABLE]
6.5.2 Oscillation error
In order to estimate (6.10) we decompose it into three terms:
[TABLE]
where
[TABLE]
and is defined by the high frequency terms on the last two lines on the right side of (6.10).
To estimate we again apply Lemma 6.1 with the same parameters, except now and . This leads to
[TABLE]
For , we can just use the estimate for since only the direction is different, and obeys the same bounds as . From (6.15) we then obtain
[TABLE]
Lastly we bound the stress given by the last two lines on the right side of (6.10). Since we need only consider the amplitude functions themselves and not their derivatives, setting in (5.12) and (5.19) we arrive at
[TABLE]
Combining the estimates obtained for the three parts in which we have decomposed we obtain
[TABLE]
6.5.3 Corrector Error
First, note that by inspection one can check that (6.6) can be written in the following symmetric way as
[TABLE]
We now proceed to estimate as we did for :
[TABLE]
6.6 Verification of Inductive estimate for magnetic and Reynolds Stress
Finally, we verify (2.3) and (2.4) for the stresses. Using (6.4.1), (6.16), (6.4.3), and (3.3) we have
[TABLE]
upon taking close to , and sufficiently large to make the last inequality true. Finally, we estimate the velocity Reynolds stress. From (6.19), (6.20), (6.5.3), and (3.4) we derive
[TABLE]
as above. This concludes the proof of the main iteration in Proposition 2.1.
7 Proof of Theorem 1.4
Having established Proposition 2.1, we now turn to the proof of Theorem 1.4. Consider the mean-free, incompressible vector fields and given by
[TABLE]
A calculation shows that and that . Therefore, and satisfy (2.1a) and (2.1b) with
[TABLE]
and
[TABLE]
We have that . Therefore by taking sufficiently large we have and . Similarly we can show that the other conditions in (2.3) and (2.4) are all satisfied (possibly by taking larger). Therefore, we can apply Proposition 2.1 to get the existence of a sequence of iterates which satisfy (2.1) and obey the bounds (2.3)–(2.5).
By interpolation, we have for any the sequence of velocity and magnetic increments is summable in , i.e.
[TABLE]
The sequence is hence Cauchy and we may define a limiting pair . This pair satisfies (1.1) because in . Therefore, we have a weak solution of (1.1) which lies in , proving the first part of Theorem 1.4 replacing by .
Now we will show that the magnetic helicity of the weak solution of (1.1) at least doubles from time [math] to time , and is nonzero at time . The vector field has associated with it the vector potential :
[TABLE]
Therefore we can compute the first iterate of the magnetic helicity, , as
[TABLE]
Next, we wish to estimate the deviation between this quantity and the magnetic helicity for the limiting vector field :
[TABLE]
Using (2.3) we have that and by construction, . Therefore, we have
[TABLE]
Applying the triangle inequality, (2.5), and using the fact that and consequently that for we can estimate as
[TABLE]
To estimate we use the fact that we can take to be divergence free for all . This choice allows us to recover using the Biot-Savart law:
[TABLE]
Now, recall that , and therefore
[TABLE]
We first estimate the term. Note that has mean zero, and thus . Furthermore, using standard mollification estimates and (2.3) we obtain the bound
[TABLE]
Summing this expression gives
[TABLE]
where we used that and that . Finally, we estimate . Recall that . Using that is divergence free, we have that
[TABLE]
From the triangle inequality, (5.12), Lemma 5.1, and the fact that we have
[TABLE]
Using a factor of to absorb the implicit constant, and using that , we deduce that
[TABLE]
where we used that .
Therefore we have proven that
[TABLE]
which gives the bound
[TABLE]
Since by taking sufficiently large, we can ensure that . This implies that and , since . This shows that the magnetic helicity at least doubles in magnitude and is nonzero at time .
Remark 7.1**.**
The total energy and the cross-helicity can similarly be shown to not be conserved for the limiting solution , if we use (7.1) as the first term in the sequence. By inspection, the initial fields have non-trivial energy and cross-helicity which allows us to prove the non-conservation as in the proof of Theorem 1.4.
Appendix A Proof of Geometric Lemmas
In this section, we will provide proofs of Lemmas 4.1 and 4.2, following the classical arguments of [28, 8].
Proof of Lemma 4.1.
Let and to these vectors, consider the orthonormal bases given by
[TABLE]
We define
[TABLE]
Using these matrices we can write
[TABLE]
Since form a basis for the 3 3 skew-symmetric matrices, we can express any skew-symmetric matrix as a unique linear combination . Combining this with (A.1) gives
[TABLE]
Therefore we can define
[TABLE]
For , the will be smooth. Therefore it suffices to take . ∎
Proof of Lemma 4.2.
Proceeding as before let and to these vectors, consider the orthonormal bases given by
[TABLE]
Note that . Next, note that , and thus by the implicit function theorem, there exists such that for , can be expressed as a linear combination of the with positive coefficients. See [28, 8] for further details. ∎
Appendix B Proof of Magnetic Helicity Conservation
In this appendix we give the proof of Theorem 1.3. For we have magnetic helicity conservation for (1.1), as in [41]. A simple modification of this argument shows that Leray-Hopf solutions of (1.2) satisfy a magnetic helicity balance (by interpolation we have that ):
[TABLE]
Assume that is a weak ideal sequence and that . Using the uniform bounds coming from the total energy inequality (1.3) we have that
[TABLE]
Therefore, passing to the limit in (B.1) (for and ), we obtain
[TABLE]
where the last equality comes from the fact that since in , in and the product of a weakly convergent sequence and a strongly convergent sequence converges. By Aubin-Lions Lemma with the triple applied to , we conclude that has a strongly convergent subsequence in (also denoted ). This implies is strongly convergent in . Along this subsequence
[TABLE]
where we are using that limit of the strongly convergent subsequence must coincide with the weak ideal limit by uniqueness of weak-* limits. Furthermore, we can extend this to the entire sequence to conclude
[TABLE]
as desired.
Acknowledgements
R.B. was supported by an NSF Graduate Fellowship Grant No. 1839302. T.B. was supported by the NSF grant DMS-1600868. V.V. was supported by the NSF CAREER grant DMS-1652134. The authors are grateful to Theodore Drivas for pointing us to a number of references on magneto-hydrodynamic turbulence.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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