Example of exponentially enhanced magnetic reconnection driven by a spatially-bounded and laminar ideal flow
Abstract
In laboratory and natural plasmas of practical interest, the spatial scale at which magnetic field lines lose distinguishability differs enormously from the scale of magnetic reconnection across the field lines. In the solar corona, plasma resistivity gives , which is the magnetic Reynold number . The traditional resolution of the paradox of disparate scales is for the current density associated with the reconnecting field to be concentrated by a factor of by the ideal evolution, so . A second resolution is for the ideal evolution to increase the ratio of the maximum to minimum separation between pairs of arbitrarily chosen magnetic field lines, , when calculated at various points in time. Reconnection becomes inevitable where . A simple model of the solar corona will be used for a numerical illustration that the natural rate of increase in time is linear for the current density but exponential for . Reconnection occurs on a time scale and with a current density enhanced by only from the ideal evolution time and from the current density . In both resolutions, once a sufficiently wide region, , has undergone reconnection, the magnetic field loses static force balance and evolves on an Alfvénic time scale. The Alfvénic evolution is intrinsically ideal but expands the region in which is large.
I Introduction
Magnetic reconnection has an interesting early history Cargill:2015 and was defined in 1956 by Parker and Krook Parker-Krook:1956 as the “severing and reconnection of lines of force.”
The ideal evolution of magnetic fields is the opposing concept to magnetic reconnection. Newcomb showed in 1958 that magnetic field lines move with a velocity and do not break, if and only if the field obeys the ideal evolution equation Newcomb
(1) |
The exact equation for the evolution of is Faraday’s Law, . The ideal evolution of a magnetic field that is embedded in a plasma is broken Boozer:ideal-ev when the electric field parallel to the magnetic field, , cannot be balanced by the parallel component of the gradient of a well-behaved potential, . The components , which are perpendicular to , are associated with the velocity of the magnetic field lines, .
Two effects that cause deviations from an ideal evolution are resistivity along the magnetic field , which contributes to as , and electron inertia, which contributes Spitzer to as . The electron skin depth, , is the speed of light divided by the electron plasma frequency.
The Oxford English Dictionary defines a paradox as “a strongly counter-intuitive (statement), which investigation…may nevertheless prove to be well-founded or true.” Both the resistivity and the electron skin depth are so small in many plasmas of practical interest that it is paradoxical that magnetic reconnection could be of any relevance. Yet it is. Approximately 1500 papers have been written on magnetic reconnection, which demonstrate the importance of the topic to the understanding of both laboratory and naturally occurring plasmas. The speed and prevalence of magnetic reconnection are so great that they must be derivable from the properties of Equation (1) for the ideal evolution of a magnetic field Boozer:ideal-ev .
To define the reconnection paradox, let be a characteristic spatial scale over which varies across the magnetic field lines; the time scale for an ideal evolution is
(2) |
Resistivity spatially interdiffuses magnetic field lines, which implies that lines that approach each other closer than the distance remain distinguishable only for a time less than . The ratio of the resistive time scale of the overall system to the evolution time scale is the magnetic Reynolds number
(3) |
Magnetic field lines that come closer than lose their distinguishability, where in the solar corona.
The electron inertia causes evolving magnetic field lines that approach each other closer than , the electron skin depth, to become indistinguishable, Appendix C of Boozer:null-X . In the solar corona .
What is paradoxical is that magnetic field lines are observed to reconnect and become indistinguishable over a region of width across the magnetic field lines on a time scale only an order of magnitude or so longer than the characteristic ideal-evolution time of the magnetic field, . Effects such as the resistivity would be expected to cause a loss of distinguishability of magnetic field lines in the solar corona only on a time scale of order times longer than . This paradox was clearly described in 1988 by Schindler, Hesse, and Birn Schindler:1988 .
Schindler et al Schindler:1988 sought to resolve the paradox of reconnection occurring over a region of far greater width than . In their resolution, the current density would become and remain extremely large, , in a layer of width , where is the part of the magnetic field that is reconnecting. This assumption has formed the basis of most of the reconnection literature from even before Schindler et al developed their reconnection theory. Nonetheless, it is difficult to understand how an ideal evolution would result in such a strong current. Most of the reconnection literature has not dealt with that issue but has focused instead on how such a large current density could be maintained if it were initially present. A foundational publication for recent work on the maintenance issue, with more than two hundred citations, is the 2010 paper by Uzdenksy, Louriero, and Schekochihin Loureiro:2010 on plasmoids.
The paradoxical speed of magnetic reconnection when non-ideal effects are extremely small has analogues with other phenomena, such as thermal equilibration in air. The analogy between magnetic reconnection and thermal equilibration in a room was demonstrated Boozer:rec-phys by Boozer in 2021. In both reconnection and thermal equilibration, the time scale of the relaxation of the ideal constraint is the ideal evolution time times a term that is logarithmically dependent on the ratio of the non-ideal time scale divided by the . This explains why a radiator can heat a room in tens of minutes rather than the several weeks that would be expected from thermal diffusion alone. Many may find the subtle mathematics used in Boozer:rec-phys difficult to follow. Here a simple model of magnetic field evolution driven by footpoint motion, as in the solar corona, is used to illustrate the general principles that were explained in the companion paper Boozer:rec-phys .
The equation for temperature equilibration in air moving with a divergence-free velocity is , which is the standard form for the advection-diffusion equation. In many problems of practical importance, the Péclet number, , is many orders of magnitude greater than unity. The diffusion coefficient for magnetic field lines is , so the magnetic Reynolds number would be better called the magnetic Péclet number.
The classic paper on the advection-diffusion equation was written in 1984 by Hassan Aref Aref;1984 and has had over two thousand citations. This paper showed that a laminar flow can equilibrate on the evolution time times a logarithm of the Péclet number as . Before Aref’s paper, it had been assumed a turbulent was required to obtain fast equilibration. Section I.B in an article Aref:2017 published in the Reviews of Modern Physics discusses the merits of the use of turbulent versus laminar flows to speed the mixing of fluids. What that article did not discuss is that for a given maximum flow speed a laminar flow can give a faster mixing over a large region than a turbulent flow. A demonstration starts with the last sentence on p. 3 of Boozer:rec-phys . The laminar part of a flow, which is defined as an average over the small spatial scales of , generally dominates the advective part of the advection-diffusion equation. A flow , no matter how complicated and rapid the dependence on and , cannot directly produce diffusive mixing but can exponentially enhance the speed with which diffusion can act over the spatial scale covered by the advection of the fluid.
The essential element in an enhanced relaxation by a laminar flow is that the flow be chaotic. Using standard terminology, a flow is deterministic but chaotic when neighboring streamlines have a separation that increases exponentially with time. Articles on the mathematics of deterministic chaos and topological mixing can easily be found on the web, but their importance to this paper is only that such effects are common. As noted in Boozer:rec-phys , although the condition that the flow be chaotic may sound restrictive, it is a non-chaotic natural flow that is essentially impossible to realize. No special effort is required to achieve enhanced mixing by stirring. Every cook knows that stirring enhances the mixing of fluids—no particular pattern of stirring or detailed computations are required.
The terms chaotic and stochastic are sometimes considered synonyms in descriptions of flows or magnetic fields. Here a distinction is made that is consistent with a distinction made in the mathematical literature. Chaos, or more precisely deterministic chaos, when applied to a flow within a bounded region of space, means the streamlines of the flow are predictable but exponentiate apart throughout a finite fraction of that space, the region in which the flow is chaotic. In contrast, a stochastic motion is not deterministic and has a random component on all time and spatial scales. Stochastic flows were used by L. F. Richardson in a paper Richardson:1926 published in 1926 to explain the enhancement of diffusion produced by atmospheric flows. His assumption was that that the velocity of air has no well defined limit as goes to zero. Weak magnetic field line stochasticity makes field lines indeterminant in a way that is similar to the the effect that Richardson’s assumption has on streamlines of air. The enhancement of reconnection by weak stochasticity of the magnetic field lines was studied by A. Lazarian and E. T. Vishniac Lazarian:1999 in 1999. Here we consider only deterministic flows, which means velocities are well defined. In an ideal magnetic evolution, Equation (1), deterministic flows give deterministic magnetic field lines.
The evolution equation for a magnetic field is also of the advection-diffusion type but more subtly so than the equation for thermal equilibration. The companion paper Boozer:rec-phys derives two salient differences: (1) A flow-enhanced equilbration of the temperature requires a dependence of on at least two spatial coordinates to be energetically feasible, but flow-enhanced magnetic reconnection requires a dependence of on all three spatial coordinates for energetic feasibility. (2) In thermal relaxation, increases exponentially with time but what one might think would be the analogous quantity for the magnetic field, does not. In the model developed in this paper, the increase in the current density is limited to being proportional to time. Related limits on the current density are known for resonant perturbations to toroidal plasmas Hahm-Kulsrud and for currents flowing near magnetic field lines that intercept a magnetic null Elder-Boozer .
When the ideal flow velocity of a magnetic field is chaotic, the ratio , the maximum to the minimum separation between two field lines at any particular time, tends to increase exponentially during the evolution when the closest approach of the lines is small, . Large scale reconnection occurs for magnetic field lines that satisfy and . As will be seen, a simple laminar flow can be followed as increases by more than nine orders of magnitude.
The model that will be used to illustrate features of magnetic reconnection is developed in Section II. In this model, the magnetic field evolution is driven in a bounded plasma in the same way as footpoint motion drives the magnetic field in the solar corona.
Section III will show that when the footpoint velocity is sufficiently small compared to the Alfvén speed in the plasma that important features can be determined without solving the difficult problem of determining throughout the plasma. These features include the exponentiation in time of the separation between neighboring magnetic field lines and the current density along each magnetic field line, or more precisely . A bound on the magnitude of is obtained, which increases linearly in time. For these features, only the determination of the streamlines of a time-dependent flow in two dimensions is required.
The simplicity of the treatment given in Section III depends on the evolution being slow compared to the Alfvén transit time. This would be violated if the plasma became kink unstable. Section IV shows that the flow example introduced in Section II ensures kink stability.
Section V shows that the rate of production of the magnetic flux associated with a particular magnetic field line by the footpoint motion is the magnetic Reynolds number times larger than its rate of destruction by resistivity. The sign of the flux differs from field line to field line in kink-stable evolutions, and the rate of flux production and destruction can be brought into balance by reconnection.
Section VI shows that even if the plasma becomes kink unstable, the magnetic helicity contained in the bounded plasma will increase without limit when unless the footpoint motion obeys a constraint. If the plasma were unbounded, an ever increasing helicity would presumptively result in a plasma eruption.
II Model of the solar corona
Features of magnetic reconnection will be illustrated using a simplified model of magnetic loops in the solar corona. The evolution of coronal loops is driven by the motion of their foopoints by photospheric flows.
The description of the model has three parts: (1) Section II.1 defines a spatially bounded perfectly-conducting cylinder that encloses the loop as well as the flow in the top surface of the cylinder, which represents the photospheric motion. (2) Section II.2 explains the specific form chosen for . (3) Section II.3 explains how the chaotic properties of are quantified.
The numerical results for the streamlines of the flow are given in Section II.4.
II.1 Definition of cylindrical region
The model that will be used to illustrate important features of magnetic reconnection consists of an ideal pressureless plasma enclosed by a perfectly conducting cylinder of radius and height , Figure 1. An ideal plasma means Equation (1) for an ideal magnetic evolution holds exactly. The conducting surfaces of the cylinder are rigid except for a flowing top-surface, which provides the footpoint motion that drives the evolution.
The flow of the top surface of the cylinder must be divergence free to avoid compressing the initial magnetic field with a constant. The implication is the flow must have the form
(4) |
where the stream function is chosen to represent a photospheric-like motion at one interception of a coronal magnetic loop. For simplicity, the flow at the other photospheric interception is taken to be zero. The effect of the flow is to produce a magnetic field orthogonal to .
The model illustrated in Figure 1 is closely related to the well-known Parker Problem Parker:problem , which was recently reviewed by Pontin and Hornig Review:ParkerProb . It is also a simplified version of reconnection models of the corona published by Boozer Boozer:prevalence and independently by Reid et al Reid:2018 in 2018. Although these two models are similar, the mathematical cause for reconnection emphasized in these papers is different. Reid et al Reid:2018 used an anomalous resistivity to ensure “that resistivity, as opposed to a numerical diffusion, is responsible for any magnetic reconnection.” Boozer’s paper and his more recent work Boozer:ideal-ev ; Boozer:part.acc ; Boozer:null-X ; Boozer:rec-phys emphasized that an imposed chaotic flow would make magnetic reconnection exponentially sensitive to any departures from an ideal evolution—even effects due to numerics rather than physics.
II.2 Choice of
The divergence-free velocity is specified by the stream function , Equation (4). Using Cartesian coordinates, the stream function is the Hamiltonian for the streamlines of the flow on the top of the cylinder and .
The flow should satisfy certain conditions, and these are easier to impose in cylindrical coordinates where and . The vertical part of the cylindrical shell is at . The steam function should be chosen so , , , and the radial gradient of are all zero at . This ensures that the streamlines can never strike the boundary of the cylinder, at , and extremely large currents do not form in the plasma near .
A form for that satisfies these conditions is
(5) |
where is a constant. A large restricts the evolution-driven region to be far from the confining cylindrical walls. In the studies reported here, . The stream function is fully specified when is given.
Flows that carry footpoints over a scale comparable to are the most effective at producing a rapid reconnection Boozer:rec-phys . These are slowly varying terms in and , which in simple forms are
(6) | |||||
where , , and are three frequencies, which are generally incommensurate, and , , , and are dimensionless amplitudes. The amplitudes and frequencies used in the calculations are , , , , and .
The term by itself would produce streamlines that lie on circles, which produce a large parallel current density with a long correlation distance. Such current densities tend to be ideal-kink unstable, Section IV, which would violate the assumption of a slow evolution compared to Alfvénic. As will be shown in Section III the analysis is greatly simplified when the evolution is slow compared to Alfvénic. Consequently, the coefficient was chosen to be zero. A shown by Reid et al Reid:2020 , the kinks produced by pure circular motions lead to a large scale exponential separation of neighboring magnetic field lines. The only reason for choosing is to be able to study a rigorously correct but simple example.
For determining the chaotic region associated with a particular initial condition , it is advantageous for the frequencies to be commensurate because then a Poincaré plot can be constructed using the time-periodic points. When the frequencies are commensurate, is the periodicity or transit time of . The exponentiation, which as explained in Section II.3 is measured by the Frobenius norm, can be calculated whether the frequencies are commensurate or not.
The actual value of is arbitrary. It is effectively the unit of time. Similarly the distance can be chosen arbitrarily. Only dimensionless ratios are important. The Alfvén speed only enters through the constraint, .
A circular conducting-cylinder is easier to discuss and does not complicate the computations of this paper, but a cylinder with a square cross section simplifies more complete simulations. In a square cylinder, the factors of in Equation (5) are replaced by .
II.3 Quantification of chaos
The stream function is the Hamiltonian for the stream lines of the flow with the canonical variables. The most important question about a specific flow is whether its streamlines are chaotic.
Neighboring chaotic streamlines have a separation that depends exponentially on time. Neighboring means separated by an infinitesimal distance. The exponentiation of neighboring streamlines can be defined streamline by streamline. The location of a streamline defines that streamline, which at time has the position , where .
To determine not only the streamline that is at at but also all the streamlines in its neighborhood two vector equations should be integrated simultaneously:
(7) | |||||
(8) | |||||
(9) |
Equation (7) is to be solved with the initial condition , so solving that equation means solving two coupled equations, one for and one for .
Equation (9) for is obtained from the equation for neighboring magnetic field lines, which solves the exact equation , by taking the limit as . Equation (9) should be solved for two different initial conditions. The first solve is for with the initial condition and . The second solve is for with the initial condition and . Since Equation (9) for the evolution of the separation is linear, the initial separation can be taken to be unity without loss of generality.
The Jacobian matrix for the starting point , which is defined by
(12) | |||||
(15) |
The determinant of the Jacobian matrix, , called the Jacobian, would be unity if there were no numerical errors. This follows from Liouville’s theorem of Hamiltonian mechanics.
The Frobenius norm of a matrix is the square root of the sum of the squares of the matrix elements and is also equal to the square root of the sum of the squares of the singular values of a Singular Value Decomposition (SVD) of the matrix. The Jacobian of a matrix is the product of its singular values, and a matrix has two singular values and ; by definition .
Consequently, the Frobenius norm of the Jacobian matrix, , gives the large singular value, , of a Singular Value Decomposition (SVD) of the matrix :
(16) | |||||
since .
When the flow is chaotic, neighboring streamlines separate exponentially, and becomes exponentially large, which means is essentially equal to the Frobenius norm of the Jacobian matrix, . A full SVD analysis gives additional information, the directions in both space and in space in which trajectories exponentiate apart and exponentiate together.
The numerical accuracy of the calculations, which are based on Runge-Kutta integrations, can be checked not only by the deviation of the Jacobian from unity, but also by simultaneously integrating one additional equation, , and finding the deviation of resulting from the integration from the actual .
The Frobenius norm of the Jacobian matrix is used here to define the magnitude of the exponentiation. This norm involves a sum of positive numbers and is less numerically demanding than calculating the SVD or the Jacobian, which is the difference between two numbers, each of order the Frobenius norm squared. The largest Frobenius norm in this paper is approximately . The Jacobian can be the difference between two terms each of order . The maximum error in the Jacobian is 15%. A more representative number is the standard deviation of the Jacobian from unity, which is 1.1%.
II.4 Numerical results for the streamlines of
Figure 2a illustrates the effect of a simple that is chaotic, as almost all choices of that have non-trivial , , and dependencies are. One hundred streamlines are started on the perimeter of the small black circle, but as the red dots illustrate, these hundred streamlines spread over most of the region after only five periods of the flow. The perimeter of the small circle defines a tube in time with fixed area. The cross section of this tube becomes convoluted in the extreme; all the red dots must lie on the perimeter of the tube. Figure 2b illustrates the evolution of the Frobenius norms of these hundred streamlines. Figure 3a gives the frequency distribution of the Frobenius norms for a thousand streamlines started on the small black circle. The smallest Frobenius norm for these thousand streamlines is 148 and the largest is . The frequency distribution is peaked near their geometric mean .
A thousand streamlines were launched from a circle of radius and the number of transits, , was recorded for the streamlines to become separated by a distance . Figure 3c shows that the required number of transits is proportional to the logarithm of the chosen .
The fraction of the total region that has chaotic streamlines is assessed by starting a thousand streamlines at uniformly spread points over the region and following them for ten transits. The frequency with which various Frobenius norms arose is shown in Figure 4a. The smallest Frobenius norm is , which is the smallest value that is mathematically allowed. The peak at small Frobenius norms implies that non-chaotic regions exist, which are separated by Lagrangian coherent structures from the chaotic regions Borgogno:2011 . In non-chaotic regions, the separation between neighboring streamlines typically increases in proportion to time. The frequency distribution of Frobenius norms is peaked near the geometric mean, , of the largest, , and the smallest Frobenius norm.
The fractional distribution of exponentiations in the separation of magnetic field lines was calculated in 2014 for a related problem by Huang et al Huang:2014 with far fewer e-folds; their distribution was also peaked.
III Evolution equations
The magnetic field evolution in the model described in Section II becomes remarkably simple when the height of the cylinder is far greater than its radius, and the time scale of ideal evolution is very long compared the the Alfvén transit time. For simplicity the plasma pressure is assumed to be zero. The derivation is essentially a simplified version of the derivation of Reduced MHD Kadomtsev ; Strauss .
This section consists of four subsections. The first two subsections, Section III.1 and III.2, derive two differential equations that relate the Lagrangian derivatives of time and distance along the magnetic field lines of the distribution of parallel current and the vorticity of the magnetic field line flow. The third subsection, Section III.3, discusses the implications of these two equations and is the most important part of the paper. The fourth subsection, Section III.4, gives a heuristic argument that the magnitude of the current distribution should typically scale as the strength of the exponential separation of the magnetic field lines, their Frobenius norm. This relation is shown to hold accurately for the ensemble of many field lines but not for each line. Indeed, the correlation between large values of and large values of the Frobenius norm is found to be remarkably weak.
III.1 Simplification of the magnetic evolution
When , the magnetic field consists of a constant field in the direction plus an orthogonal field produced by the velocity in the top surface. implies the magnetic field and the vector potential have the forms
(17) | |||||
(18) |
where .
Equation (1) for the ideal evolution of the magnetic field implies the vector potential evolves as
(19) |
where is a constant and represents the freedom of gauge. The constraint that the -directed field does not change is
(20) |
A vector identity implies . Consequently, the constraint on the constancy of is that the velocity of the magnetic field lines have the form
(21) |
The curl of the magnetic field of Equation (17) and the curl of the magnetic field line velocity of Equation (21) give the current and the vorticity along :
(22) | |||
(23) |
Equations (18) and (19) give two expressions for , which can be equated to obtain
(24) | |||||
(25) |
Since the magnetic field line velocity ,
(26) |
This equation can be written in Lagrangian coordinates in which ordinary Cartesian coordinates are given as with
(27) | |||||
(28) | |||||
(29) | |||||
(30) |
using Equation (26).
Although the form is more complicated involving the metric tensor, Laplacians can be calculated in Lagrangian coordinates, and the relations Equation (22), and , Equation (23), remain valid. Applying to both sides of Equation (30),
(31) |
where the subscript on the partial derivatives implies the use of Lagrangian coordinates, which means and are held constant;
(32) | |||
(33) |
The differential distance along a magnetic field line, , is equivalent to with and held constant.
The implications of Equation (31) will be found to be extremely profound.
III.2 Constraint of force balance
The Lagrangian time and derivatives of the parallel current distribution and the vorticity obey not only Equation (31) but also Equation (37), which is implied by force balance.
For simplicity, the plasma is assumed to have a negligible pressure and a constant density , so force balance is , where is the Lorentz force. The condition can be written as
(34) | |||||
(35) | |||||
(36) |
where . The component of the curl of the force balance equation gives
(37) |
is the Alfvén speed.
III.3 Implications of the and equations
Equations (31) and (37) together with the mixed partials theorem applied to either or imply both and obey the equation for shear Alfvén waves, . Any variation in along the magnetic field lines relaxes by Alfvén waves. Reconnection or ideal kink-instabilities will generally drive Alfvén waves. The inclusion of resistivity or viscosity causes these waves to diffuse across the magnetic field lines and produces wave decay Boozer:j-|| . In a completely ideal theory, the energy that goes into Alfvén waves will bounce back and forth forever, but they can be damped without directly affecting reconnection by adding viscosity or a drag-force to the force equation.
Equations (31) and (37) imply that during any period in which the evolution is slow compared to the Alfvén transit time that
(38) | |||
(39) | |||
(40) | |||
(41) | |||
(42) |
The flow of the top perfectly-conducting surface is specified, and is obtained from that specified flow alone. For an example of a calculation of the evolution of , see Figure 2c.
Equations (22) and (41) provide a Poisson equation, , for and an expression for , which can be solved for each value of and . The boundary condition is that the component of that is tangential to the wall must vanish, otherwise the magnetic field would penetrate the perfectly conducting wall.
For any physically reasonable flow, is bounded, , which can be easily calculated analytically for any analytic . An extremely important result is that the maximum current density along the magnetic field satisfies
(43) |
The fraction of the values of that have a particular value is illustrated for magnetic field lines started on a small circle of radius in Figure 3b and for lines started uniformly over the full region, in Figure 4b. For the small circle, the current is more likely to be negative than positive, which is also clearly illustrated in Figure 2c, but nonetheless ’s of both signs are present. Over the full region, frequency distribution of currents, Figure 4b, is essentially symmetric between the negative and the positive values, and the most probable is essentially zero. The absence of smoothness in the current distribution , even in a small region, Figure 2c, due to a smooth flow may be surprising to some. An implication is that currents in the corona must be extremely complicated with a short correlation distance across the magnetic field lines.
When the specified flow in the top surface is chaotic, the spatial derivatives of will tend to become exponentially large in some directions and exponentially small in others, but the current density itself is strictly bounded by a linear increase in time. In other words, the current density within the plasma lies in ribbons with a decreasing thickness in one direction across , an increasing width in the other direction across , and a constant amplitude along . This thinning with increasing width is illustrated by the top row of Figure 5.
The anisotropy of the spatial derivatives of follows from the exponentially large anisotropy of the spatial derivatives of in space. For simple stream functions , such as those defined by Equation (6), has a simple and smooth variation in coordinates. But, the streamlines, and , of a two-dimensional, divergence-free chaotic flow separate exponentially in time in one direction, which implies they must exponentially converge in the other. For a divergence-free flow, the two singular values of the Jacobian matrix must be inverses of each other. The spatial derivatives of in the converging direction become exponentially large and those in the diverging direction become exponentially small.
Employing Equation (41), determines the distribution of the parallel current density . Consequently, the streamlines of determine the properties of throughout the plasma. In the limit , the Lorentz force and, therefore, are negligible. Figure 2c illustrates how a hundred magnetic field lines that initially had nearby locations develop a large variation in . As can be seen in Figure 5, there is only a weak correlation between regions where is large and where the Frobenius norm is large. This is consistent with the results of Reid et al Reid:2020 that the quasi-squashing factor, which is determined by the Frobenius norm, Equation (16), has a little correlation with a large .
Magnetic field lines that have distant intersection points with the bottom surface of the cylinder, and can interchange their intersections on the top surface if anywhere along their trajectories they are sufficiently close, , to be indistinguishable. This means they come closer than or the distance through which they resistively diffuse, .
III.4 Required current density
The current density required for a large exponentiation is relatively small Boozer:B-line.sep . The minimum number of exponentiations is given by the properties of , but more are possible. The separation between two neighboring magnetic field lines obeys , where . That is,
(44) | |||||
(45) |
An exact answer for the separation requires a solution of the equation . But, the typical magnitude of the second derivatives of , which appear in Equations (44) and (45) is , which suggests that the number of e-folds is typically of order . Figure 2 illustrates this scaling, and Figure 4c shows the accuracy with which the scaling holds. Although the scaling holds for the ensemble averages, it does not hold magnetic field line by field line, which is another way of saying that the correlation between the magnitude of the Frobenius norm and the current density is weak, Figure 5. A current along a magnetic field line affects not only the Hamiltonian and its derivatives on that line but elsewhere as well.
IV Kink stability
The current flowing along the magnetic field lines causes the lines to twist through an angle from one end of the cylinder to the other. When the twist has a smooth variation with radius, Hood and Priest Hood:kink1979 found the magnetic field becomes unstable to an ideal kink when is greater than a critical value, which in their calculations lay in the range to . Studies of the onset of reconnection in the model of Figure 1 are much simpler when ideal kink instabilities are not an issue.
The largest values in Figure 2c correspond to , but the current has an extremely complicated spatial distribution, not only in magnitude but also in sign; spatial averages are far smaller than the maximum value. As will be discussed, the anisotropy of the derivatives of across the magnetic field lines and the smallness of the spatial averages of makes the system highly stable to kinks.
It is not required that , or equivalently the twist , have small spatial averages when the flow is chaotic. The spatially averaged twist can be made arbitrarily large by choosing to be large and to be either zero or small in Equation (6) for . The choice was made to show that a large average field line twist is not needed to obtain chaos.
Even when , the spatial average of over small regions can be non-zero. This is illustrated by Figure 2c and by the first row of Figure 5.
When the stream function is chosen so the flow is chaotic but with a large spatially-averaged , the resulting magnetic field will generally evolve not only into a kinked but also into an eruptive state. As shown in Section VI, the evolution properties of magnetic helicity imply the spatial and temporal average of must be zero for a non-eruptive steady-state solution for the magnetic field when —no matter how spatially concentrated the current may become. Consequently, non-eruptive chaotic models tend to have spatially complicated distributions of in which has both signs and a near-zero spatial average as in the example used to construct Figure 2.
As discussed in Section V.B.1 of Boozer:RMP , the stability of force-free equilibria can be determined using the perturbed equilibrium equation , where . The perturbed parallel current is determined by the constancy of along magnetic field lines, which in linear order in the perturbation implies . Stability is determined by whether it takes positive or negative energy to drive a perturbation that obeys the equations
(46) | |||||
(47) |
The system is at marginal stability when is just strong enough to produce a solution that fits within the perfectly conducting cylindrical walls. The implication is that when Equation (46) is multiplied by , then at marginal stability
(48) |
When has only a rapid spatial variation, as it does when does, then must also have a rapid variation to avoid a self-cancelation of the destabilizing term in Equation (48). Equation (47) for involves two spatial derivatives across and one might think they could be large and balance the stabilizing effect of the two spatial derivatives in , but that is not the case. The two spatial derivatives across in the equation for are orthogonal and the spatial derivatives of in the two directions across the magnetic field lines tend to be of exponentially different magnitudes, so the large term in forces a large spatial derivative in , which quadratically enhances but only linearly enhances .
V Magnetic flux
The change in the magnetic flux associated with a particular magnetic field line is the integral from one perfectly conducting surface to the other, . When the cylindrical conductor is stationary and the plasma is resistive, the flux decays as .
As was shown in the derivation of Equation (19) for , the effective inductive electric field along the magnetic field is , which gives a change in the flux, , or
(49) |
since the at the top of the cylinder .
The appearance of in the electric-field integral can be understood using the expression for the electric field in the flowing conductor when observed from a stationary frame of reference. The velocity is and , so . The electromotive force from the intersection point of the field line to a stationary point, where , is .
The rate at which plasma resistivity destroys magnetic flux is . Since is constant along a magnetic field line, . Equation (41) implies . Since , the ratio of flux creation to flux destruction is
(50) |
in the solar corona.
VI Magnetic helicity
As will be shown, an argument based on magnetic helicity implies that a long-term relevant solution to the problem outlined in Figure 1 requires the long-term spatial and temporal average of to be zero. When the average of is zero over a chaotic region, the interchange of penetration points implies the poloidal magnetic flux associated with a field line fluctuates but has no systematic increase.
Chaotic streamlines can cause two field lines that penetrate the bottom of the cylinder at two distinct points and to interchange their penetration points through the top plane due to exponentially small non-ideal effects.
Equation (60) for the evolution of the magnetic helicity limits the degree to which a magnetic field driven as in Figure 1 can be simplified by magnetic field lines exchanging connections even if the current density were to obtain arbitrarily high local values by being concentrated in thin sheets. As has been shown, the maximum current density increases only linearly in time, Equation (43), and does not reach the enhancement by a factor of order , which would be required for the loop voltage to balance the poloidal flux creation, before reconnection has already occurred. But, even if it did the rate of helicity dissipation would not be significantly enhanced, Equation (60). Magnetic turbulence can reduce the magnetic energy, but not the helicity Taylor:1974 ; Berger:1984 as .
Equation (58) for the rate of helicity increase implies that unless the stream function integrated over each chaotic region, , has a zero time average, the magnetic helicity can increase without limit. In the model of this paper, the perfectly conducting cylindrical boundary conditions will keep the system confined no matter how strong or contorted the magnetic field may become. But, in a natural system, such as the solar corona, a drive that does not have a zero long-term average will presumably cause the eruption of a magnetic flux tube.
The derivation of the helicity evolution equation starts with the definition of the magnetic helicity enclosed by the cylinder,
(51) |
Equations (17) and (18) together with imply . The helicity is then
(52) |
The time derivative of the helicity is calculated using
(53) | |||||
(54) | |||||
(55) |
The side of the cylinder is a rigid perfect conductor, so within its sides. Consequently,
(56) | |||||
(57) | |||||
(58) |
using Equation (19) with the area integral over the top of the cylinder. Since the magnetic field lines are tied to the flow of the perfectly conducting top, within the top surface.
The effect of resistivity on the helicity is obtained by letting , then Equation (58) implies
(59) | |||||
(60) |
The effect of resistivity on the helicity evolution is given by the volume-averaged , and is therefore unaffected by being concentrated. When the evolution is slow compared to the Alfvén transit time, is independent of , and the ratio of helicity input to its resistive destruction is
(61) | |||||
(62) |
while in the corona. To extreme accuracy, resistivity has no effect on the rate of helicity increase in the corona.
VII Power input
The condition implies that the Lorentz force obeys Equation (34). Using
(63) | |||||
(64) | |||||
(65) |
The power required to maintain the flow in the top of the cylinder is
(67) |
The integrand becomes extremely spatially complicated as time evolves but is not very large.
VIII Discussion
The prevalence of magnetic reconnection in situations in which effects that cause a departure from an ideal evolution are arbitrarily small suggests the cause of reconnection must be within the ideal evolution equation itself. Indeed it is Boozer:ideal-ev .
In an ideal evolution, the magnetic field lines move with the velocity of Equation (1). As Schindler, Hesse, and Birn Schindler:1988 stated in 1988, resistivity can only compete with the ideal evolution in a region that is sufficiently narrow across the magnetic field that the local magnetic Reynolds number, . The actual scale of the reconnecting region across the magnetic field, , gives the usual magnetic Reynolds number , which is many orders of magnitude larger than unity—in both natural and laboratory plasmas. In the solar corona . There are two possibilities for addressing the problem identified by Schindler et al.
The first possibility, which is the dominant reconnection paradigm and the only one considered by Schindler et al, is that the ideal magnetic evolution creates and maintains layers of intense current density , where is the reconnecting magnetic field. One problem with this possibility is that in an ideal evolution the current density tends to increase only linearly in time. A linear increase in the current density by a factor takes far too long to explain many natural phenomena. The growth in current density is found to be linear in time, not only in this paper, Equation (43), but also in ideal flows that are known to create a singular current density as time goes to infinity—flows that have a resonant interaction with a rational magnetic surface in a torus Hahm-Kulsrud ; Boozer-Pomphrey . Although more complicated than a linear increase, a slow increase in current density along the magnetic field lines is also found for lines that pass near a magnetic null Elder-Boozer .
What has been presented in this paper is an example of the second possible explanation for fast magnetic reconnection, but one that has aroused little interest. This explanation is based on the characteristic increase in the ratio of the maximum to the minimum separation, , between two magnetic lines that is produced by an ideal flow . Magnetic field lines are defined at a fixed time, as is , but when the two lines are adjacent at some location along their trajectories, , the ratio characteristically increases exponentially when the field-line trajectories are calculated at different points in time. Characteristically, the rate of exponentiation is comparable to the evolution time . Reconnection must have occurred by the time at which with , the spatial scale over which field line distinguishability is lost, and , the system scale.
All that is required to produce reconnection by the Parker and Krook definition Parker-Krook:1956 , the “severing and reconnection of lines of force,” is that magnetic field lines become indistinguishable on some spatial scale and that the exponentiation of field-line separation magnify the indistinguishability scale to the scale over which reconnection occurs. Indeed, one can model magnetic reconnection using an ideal code Pariat-Antiochos because finite numerical resolution will provide an effective distinguishability scale . In many examples of reconnection, the distinguishability scale is far smaller than can be directly assessed numerically. It is important to carry out reconnection studies minimizing effects that break the ideal magnetic evolution.
Unlike a localized current density, becomes large over extended regions. Nonetheless, the exponentiation, which is quantified by the Frobenius norm, Section II.3, differs from one pair of magnetic field lines to another—even over small regions, Figure 2b. Magnetic field lines that have the largest exponentiations reconnect first, which can break force-balance and cause Alfvénic relaxations when the reconnected region becomes sufficiently large, which is the scale at which reconnection becomes important to the system dynamics. The scale is important but not determined in this paper. That would require more complete simulations related to those of Reid et al Reid:2018 , and is far less well defined than the distinguishability scale . Nonetheless, is an important concept because the typical size of reconnected regions scale as times a factor that depends exponentially on time until the scale of reconnection reaches , then reconnection spreads at an Alfvénic rate, which presumably accounts for Parker’s observation Parker:1973 that the speed of reconnection is . Even though an Alfvénic relaxation is consistent with an ideal evolution, it generally causes an increase in on the Alfvénic time scale for pairs of magnetic field lines in additional regions of space.
Plasma turbulence can be considered to be third possibility for fast reconnection, but turbulence-enhanced reconnection is in effect given by one of the other two possibilities. Plasma turbulence can mean either micro-turblence or macro-turbulence: (1) Micro-turbulence affects the particle distributions of the Fokker-Planck equation and can cause an enhanced turbulent resistivity for the flow of current along , which can be much larger than the standard Spitzer value for the parallel resistivity, . This effect fits into the paradigm of Schindler, Hesse, and Birn Schindler:1988 ; just must compete with the evolution rather than . (2) Macro-turbulence means the mass flow velocity of the plasma develops small spatial scales with no direct effect on the particle distribution function. Macro-turbulence is analogous to the turbulent flow of water through a pipe.
In 1953 Dungey Dungey:1953 stated that a change in the linkages of magnetic field lines due to resistivity “is usually very slow in astrophysical systems, but may be increased by turbulent motion in the gas.” Macro-turbulent enhanced reconnection has the same relation to enhanced reconnection due to the exponentiation of field line separations as the pre-Aref theories of fluid mixing to that of Aref Aref;1984 . When macro-turbulence is three dimensional, it does cause the magnetic field to become chaotic. Nevertheless when the characteristic spatial scale of the turbulent eddies is small compared to the scale over which strong advection takes place, the advection from the eddies behaves as a diffusive process Boozer:rec-phys . The diffusive advection of the turbulent eddies is much slower than the advective transport due to flows that have a scale comparable to unless the maximum flow speed is far larger than the flow speed averaged over the scale . A deterministic turbulent ideal flow does not directly produce magnetic reconnection any more than a laminar flow does; both cause an exponentially enhanced sensitivity to non-ideal effects.
The literature on macro-turbulence enhanced reconnection is extensive. However, the focus of these studies was not on on deterministic magnetic fields and flows. The effect on reconnection of indeterminacy in the magnetic field, which means intrinsic magnetic stochasticity, was described in Lazarian:1999 ; Eyink:2011 ; Eyink:2015 ; Kowal:2020 , and reviewed in Lazarian:2020rev . The effect of turbulence and intermittency of plasma flows on two-dimensional magnetic fields was described in Matthaeus1986 ; Matthaeus:2015 ; Matthaeus:2020 .
The simple model developed here illustrates how the laminar flow of an ideal magnetic evolution can force magnetic reconnection on a time scale that is the ideal evolution time, times the logarithm of the ratio of the intrinsic magnitude of the ideal to the connection breaking terms.
A spatially bounded flow of a footpoint of a magnetic field line that has a smooth and slow variation in space and time can be chaotic and impart properties to the magnetic field lines in an ideal evolution that many may find to be surprising.
Two magnetic field lines that are separated by the distance at the stationary foot point must have a maximum separation at least as great as the separation of the lines at the moving footpoint. The separation of neighboring streamlines determines the minimum ratio that the two magnetic field lines must have obtained. Figure 4c shows that no matter how small may be that will reach a value comparable to , the distance scale of the system perpendicular to the magnetic field, within a time that depends only logarithmically on . Identifying with the spatial scale on which magnetic field lines become indistinguishable, the time required for large-scale reconnection to occur is the evolution time defined by the footpoint flow speed times a logarithmic factor depending on . This argument assumes the reconnection scale is comparable to , although it could be smaller, which would imply large scale reconnection would occur even sooner.
Many more properties of an ideally evolving magnetic field can be determined from the footpoint motion when its evolution time is long compared to the time for an Alfvén wave to propagate from one footpoint interception to the other and the magnetic field remains kink stable. The example of the footpoint flow that was studied was chosen to be consistent with the maintenance of kink stability. Two properties that can be determined are the distribution of the current density , which is constant along the magnetic field lines under these conditions, and the power that is required to drive the footpoint flow. The figures show the quantity rather than because is the quantity that is determined by the theory; not and separately. is the dimensionless twist angle that a magnetic field line makes in going between the two footpoints of each field line, which are separated by the distance .
Despite the smoothness and simplicity of the footpoint flow that was studied, the current density distribution varies wildly among field lines that have their stationary foopoints in a tiny region, Figure 2c. The currents in the corona must be extremely complicated with a short correlation distance across the magnetic field lines. Observations of spatial complexity in the current density are clearly not a proof of turbulence. Nearby magnetic field lines can have currents flowing in opposite directions. In addition the magnitude of increases only linearly in time, Figure 2c, and forms ribbons along the magnetic field that tend to widen exponentially and thin as one over the exponential, Figure 5. As discussed in Appendix E of Boozer:part.acc , the currents produced by the more localized photospheric motions could produce runaway electrons and explain the hot corona.
To be consistent with Ampere’s law, must have a typical magnitude that is proportional to the logarithm of the exponentiation factor Boozer:B-line.sep . A heuristic argument is given in Section III.4. The exponentiation factor is the Frobenius norm of a Jacobian matrix, Section II.3. This approximate proportionality is illustrated in Figure 4c and requires the current density be enhanced by factor of above its characteristic value before reconnection due to exponentially enhanced resistive diffusion can compete with evolution. An enhancement of the current density by is modest compared to an enhancement by . Despite this relationship between and the Frobenius norm, the regions in which they are particularly large are not closely correlated. Reid et al Reid:2020 also found a weak correlation between the current density and ratio at the two footpoint locations of the distance between neighboring field lines, which is the definition of the quasi-squashing factor Priest:1995 ; Titov: 2002 .
The power required to drive the footpoint motion, Section VII, is a spatial average of the footpoint motion times the current distribution , so it increases approximately linearly in time and never becomes extremely large.
Section VI demonstrated that unless the stream function , which defines the footpoint flow, has a zero spatial and temporal average over a footpoint region, the magnetic helicity increases without limit in the volume occupied by the magnetic field lines that strike that region. When , magnetic helicity cannot be destroyed faster that it is created in such regions—even by macro-turbulence—and the result must be the ejection of a magnetic flux tube, called a plasmoid, from the region.
The example of a footpoint flow that was discussed here had a very simple and smooth spatial and temporal dependence; realistic footpoint motions of coronal loops are far more complicated, which makes them more prone to chaos. However, the parts of the footpoint motion that cause the most rapid development of states in which large-scale reconnection is inevitable have a spatial scale comparable to the region over which reconnection will take place.
The calculations made in this paper demonstrate that a magnetic field reaches a state in which reconnection is inevitable on a time scale that is only logarithmically longer than the ideal evolution time scale, even when drive for the evolution is simple.
Nonetheless, more complete simulations related to those of Reid et al Reid:2018 , are required for a more complete understanding of how the reconnection proceeds. It is particularly important to use such simulations to understand how the magnetic reconnection region is determined, not because it is bounded by a rigid conductor but by unstressed magnetic field lines. This can be done by choosing a non-zero in Equation (5). As is made larger within the model of this paper, simulations become more expensive but more representative of the corona. Such simulations are numerically simpler when the circular cylinder of Figure 1 is replaced by a cylinder of square cross section that encloses the volume with , , and . As mentioned at the end of Section II.2, the only significant modification required is a change in the factors of in Equation (5) to .
Acknowledgements
The authors wish to thank Yi-Min Huang for pointing out an error in the derivation of Equation (31) in an earlier version of the manuscript. This work was supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences under Award Numbers DE-FG02-95ER54333, DE-FG02-03ER54696, DE-SC0018424, and DE-SC0019479.
Data availability statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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