Under certain circumstances, the equations for the magnetic field lines can be recast in a canonical form after defining a suitable field line Hamiltonian. This analogy is extremely useful for dealing with a variety of problems involving magnetically confined plasmas, like in tokamaks and other toroidal devices, where there is usually one symmetric coordinate that plays the role of time in the canonical equations. In this tutorial paper, we review the basics of the Hamiltonian description for magnetic field lines, emphasizing the role of a variational principle and gauge invariance. We present representative applications of the formalism using cylindrical and magnetic flux coordinates in tokamak plasmas.

Creating and confining hot plasmas are the foundation of fusion studies.1,2 As the increase in the temperature helps to create the plasma, magnetic fields are able to confine it in suitable containers. The spatial structure of magnetic field lines is an important ingredient in many theoretical analyses of magnetically confined plasmas in toroidal devices like tokamaks, stellarators, reversed field pinches, etc.3 In tokamaks, the magnetic field responsible for the confinement results from the superposition of the toroidal field, generated by external coils wound around the entire torus, and the poloidal field, due to plasma current itself.4 However, the equilibrium magnetic field can be modified by plasma oscillations or by external coils used to control instabilities.5 

An interesting situation is where the magnetic field is time-independent, as the case in MHD equilibrium configurations.1 Starting from a symmetric plasma equilibrium configuration with an ignorable coordinate (e.g., the toroidal angle in tokamaks), the magnetic field line equations can be cast in the form of canonical equations, if the ignorable coordinate plays the role usually assigned to physical time in classical mechanics.6 Furthermore, as the magnetic field is divergence free, we can describe the field lines using a two dimensional area-preserving map, with respect to a surface of section of the torus at a fixed toroidal angle.7 The resulting phase space of the field lines is identical to a Hamiltonian phase space, indicating that the field lines act, at least locally, as trajectories.7 Hence, the dynamics described by the corresponding Hamiltonian represents not a true motion but instead a magnetostatic structure parameterized by the time-like coordinate.8 The main advantage of making this analogy is to use the powerful toolbox of Hamiltonian theory to investigate the magnetic field line structure, in particular, if nonsymmetrical perturbations are considered.9 

The analogy between magnetic field lines and a Hamiltonian system has been first pointed out by Kruskal, in 1952.7,10,11 Kruskal proposed and iterated an area-preserving map, similar to the standard map, in order to describe the magnetic field lines of stellarators.7,11 This connection between field lines and Hamiltonian formalism was also recognized simultaneously but independently in the United States by Donald Kerst (the inventor of betatron)12 and in Soviet Union.13 Nevertheless, an explicit and generalized Hamiltonian description was only proposed later, by Whiteman14 and Boozer.15 

Even though magnetic field lines can be described by low-dimensional Hamiltonian systems, the numerical integration of the motion equations can be computationally costly.16 For this reason, explicit area-preserving maps, derived from the Poincaré map of the magnetic field line, are often used. These Hamiltonian maps inform us about the global and fine scale structure of the edge magnetic topology in toroidal systems. They serve as an important tool for studying the kinetic and fluid transport process as plasma turbulence and MHD stability.5 In addition, these maps permit long-time examination of individual trajectories for the statistical analysis of the field lines and the investigation of transport with a reasonable computational time.2 

The theory of magnetic field lines in confined plasma devices could not guarantee the regularity of the field lines.11 An example is the study of magnetostatic perturbations produced by coils placed outside the plasma: the resulting magnetic field lines may present unexpected and complicated behaviors like periodic, quasi-periodic, and even chaotic orbits.7,17 The latter, in particular, represent a local destruction of the magnetic surfaces that confine the plasma.18,19

The main motion of the plasma particles is along the field lines while slowly drifting across the equilibrium fields due to the lines curvature, the particle rotation around the lines, and electric drift.20–22 Thus, as the fastest motion is along the field lines, the particle escape to the wall can be predicted by the field line configuration.23 Observing magnetic field lines in a surface section of a tokamak, they can be closed lines within the trace of a toroidal magnetic surface or they can fill a two dimensional domain. For the first case, the field line is regular, while the second case indicate chaos.11 Chaotic behavior is related to the topology of the magnetic field lines and the dynamics of the particles gyrating along these lines, as well as the turbulent transport, ray dynamics, and radio frequency heating.11,15 Furthermore, the non-uniform particle transport at the tokamak plasma edge can be roughly estimated from the field lines escaping to the wall.23,24 Broader reviews between Hamiltonian chaos and fusion plasmas can be found in Refs. 5, 11, and 16.

From a classic mechanics framework, a general description in curvilinear coordinate system was proposed by Whiteman14 and extended later by Boozer,15 Cary and Littlejohn,8 and Elsässer.25 The general formalism described by Whiteman has been applied to a variety of coordinate systems: cylindrical,26 helical,27 spherical,28 and pseudotoroidal.29 Various applications of the magnetic field line Hamiltonian have been made by Freis et al.30 and Hamzeh31 for a toroidal machine called Levitron and by Lichtenberg32,33 in an investigation of the m = 1 island on sawtooth oscillations in tokamaks.

In addition to its applications in fusion plasmas, the Hamiltonian description of magnetic field lines provides a nice non-mechanical example of the usefulness of the Hamiltonian formalism to intermediate and advanced students. Moreover, the magnetic field line problem has the unique feature that the corresponding phase space actually coincides with the configuration space, which facilitates the visualization of complex dynamical concepts like Kolmogorov-Arnold-Moser (KAM) tori, homoclinic tangles, and so on. On the other hand, the basic material on the Hamiltonian description of magnetic field lines is often available only in publications targeted to the plasma physics experts, which creates an additional difficulty for an interested novice reader.

In order to overcome the latter problem, we wrote this tutorial as an aid to students and researchers interested to master the basic ideas of the Hamiltonian description for the magnetic field lines. Moreover, we present some representative applications of this formulation so as to illustrate its usefulness in plasma physics problems. We emphasize that this paper is not a review of this subject. While we focused on fusion plasmas, the methods can also be used in plasmas of astrophysical and geophysical interest, provided we have situations of MHD equilibrium with adequate stability properties.

This paper is organized as follows: in Sec. II, we show the derivation of a variational principle for magnetic field lines and the role played by gauge invariance. The Hamiltonian description, in general, curvilinear coordinates is presented in Sec. III. In Sec. IV, we describe in some detail an application of the description in cylindrical coordinates to a large aspect-ratio tokamak with an ergodic magnetic limiter (EML), using canonical perturbation theory to derive an analytical formula for the width of magnetic islands, which is an expression of practical interest for stability and transport theoretical studies of tokamak plasmas.1 In Sec. V, we present an application of the general formulation for magnetic flux coordinates, which are widely in numerical codes for computer simulation of plasmas,15 displaying an application to a magnetic field line map (tokamap) proposed by Balescu and co-workers.34 The last section is devoted to our Conclusions.

The equations of motion of a particle can be derived from Hamilton's variational principle,9 
(1)
where L is the Lagrangian, q and q ̇ are the generalized coordinate and velocity, respectively, and t 1 , 2 are fixed instants of time. It means that, considering the infinite possible paths connecting the particle positions at fixed times t 1 , 2, the actual trajectory between them is that for which the integral L d t is an extremum. The exploitation of this principle gives the Euler–Lagrange equations of motion for the particle.
For a non-relativistic particle with mass m and charge e, subjected to electromagnetic fields, the Lagrangian is
(2)
where Φ and A are, respectively, the scalar and vector potentials, from which the electric and magnetic fields are given by35 
(3)
The scalar and vector potentials are not uniquely determined since they are invariant under gauge transformations,
(4)
where χ ( r , t ) is an arbitrary function. The gauge freedom can be considered an analogous transformation to a change of canonical coordinates.25 
The variational principle for the magnetic field can be obtained from Hamilton's principle (1) by considering a massless particle under a pure magnetic field, i.e., Φ = 0,
(5)
or changing the integration from time to space,
(6)
where r 1 , 2 are fixed spatial positions.3,8 The variational principle (6) states that, considering the infinite paths in space connecting the fixed points r 1 and r 2, for a given time, the magnetic field line is the path for which the integral A · dr is an extremum. However, for any fixed time, Eq. (6) is valid also for a time evolving magnetic field. Recently, Escande and Momo have introduced a novel approach to the variational principle (6) using Stokes theorem.36 This procedure allows a general treatment of some problems, like determining the width of magnetic islands, a subject that will be address in Sec. IV.
In the following, we will use the Einstein sum convention for repeated indices and express a vector using their contravariant and covariant components, as well as the corresponding basis vectors, in the forms
(7)
Since contravariant and covariant basis vectors are dual, i.e.,
we can rewrite the variational principle for field lines (6) in the form
(8)
It is useful to introduce here a variational parameter λ, which, as in mechanics, labels the infinite possible paths connecting the fixed points in Hamilton's principle. Each path is, thus, represented by a function of this variational parameter,
(9)
Considering the function (9), the variational principle (8) can be written as an integral over λ,
(10)
such that the functions A i ( x 1 , x 2 , x 3 ) are fixed, but the arguments (9) have to be varied independently from λ, with vanishing variation δ x i ( λ ) at the fixed points λ1 and λ2. As a consequence, the exploitation of this variational principle gives the equations for the magnetic field lines,25 
(11)
which are equivalent to the vector equation
(12)
In fusion configurations, the magnetic field does not vanish in the integration domain, otherwise the field lines could not be obtained by Eq. (11).
We can choose a gauge such that one of the covariant components of the vector potential vanishes, e.g.,
(13)
and the variational principle reduces to
(14)
The variational parameter λ is arbitrary, but it is convenient to choose it such that λ is an ignorable coordinate, i.e., physically relevant quantities do not depend on it. In this case, magnetic field lines stream along the direction of this coordinate. A common choice in toroidal fusion devices like tokamaks is the azimuthal angle x3. Thus, we take λ = x 3, and the variational principle (14) becomes
(15)
where x 1 , 2 3 are the values of the azimuthal angle at the fixed points. However, the existence of an ignorable coordinate is a condition used to describe the tokamak equilibrium, it may not be valid for other plasmas configurations or space plasmas. A more general approach that does not require this assumption is given in Ref. 8 in terms of non-canonical Hamiltonians.
Let us consider a dynamical system with one degree of freedom, whose state is described by a generalized coordinate q and a generalized velocity q ̇, with Lagrangian L ( q , q ̇ , t ). The generalized momentum p canonically conjugated to the coordinate q is given by p = L / q ̇. In terms of the latter, the modified Hamilton's principle is written as
(16)
where H is the system Hamiltonian. We rewrite this expression as
(17)
where 1 and 2 represent fixed points, as before.
Comparing (17) with the variational principle (14) for magnetic field lines, we can make the following associations:
(18)
(19)
(20)
(21)
Hence, magnetic field lines can be described as a Hamiltonian system, where the role usually assigned to physical time in classical mechanics is played by the ignorable coordinate x3, since the “physical” time is kept strictly fixed.
In this description, the magnetic field line equations (11) can be written as Hamilton's equations
(22)
(23)
for an one-degree-of-freedom system described by the canonical pair of variables (p, q). If the field line Hamiltonian H does not depend explicitly on time t = x 3, as in axisymmetric plasma equilibrium configurations, the Hamiltonian H(p, q) describes an integrable system, being a constant of “motion,” or a first integral. On the other hand, magnetic perturbations caused by external fields or instabilities can introduce non-axisymmetric terms in the Hamiltonian, resulting on a time-dependent system H ( p , q , t ), which is generally non-integrable.
Instead of the vector potential, we can obtain a Hamiltonian description directly from the magnetic field components. Writing the relation B = × A in curvilinear coordinates, we have
(24)
(25)
(26)
where g = det g i j is the determinant of the covariant metric tensor, whose elements are given by g i j = e ̂ i · e ̂ j. If the non-diagonal elements of the metric tensor are identically zero, the coordinate system is called orthogonal. In this case, the diagonal elements are also called metric coefficients, and we have that g = g 11 g 22 g 33.
After choosing a gauge for which A 2 = 0, these expressions lead to the remaining components of the vector potential,
(27)
(28)
In terms of the magnetic field components, the Hamiltonian description of field lines is6,14
(29)
(30)
(31)
(32)
According to Eq. (25), these definitions are subjected to the following relation:
(33)
which can also be regarded as a direct consequence of the magnetic Gauss' law · B = 0. Janaki and Ghosh have shown that, under suitable canonical transformations, other choices of canonical pairs can be used, corresponding to different gauge coordinates.37 

When using the above formulas, one must have in mind that quite often the contravariant components of the magnetic field have not the same dimensions as the field itself due to the metric coefficients. In the forthcoming section, our aim is to present representative applications of this description, using different coordinates systems, as the cylindrical and magnetic flux coordinates.

Let us consider a toroidal plasma with major radius R0 and minor radius a. In the local (or pseudotoroidal) system of coordinates ( r , θ , ϕ ), θ and ϕ are the poloidal and toroidal angles, respectively, and r is the radial distance to the magnetic axis, which is a circle of radius R0 centered at the torus major axis.

The torus aspect ratio is ε = R 0 / a. In the large aspect ratio approximation ( R 0 a), we can neglect the toroidal curvature and consider the torus as a periodic cylinder of radius a and length 2 π R 0. In this case, it is possible to use cylindrical coordinates ( r , θ , z ), where z = R 0 ϕ is the rectified toroidal circumference. Due to the periodicity, we identify all points for which z is an integer multiple of 2 π R 0.

The “physical” components of the magnetic field are defined by B i = g i i B i, where no sum in the index i is intended. Identifying x 1 = θ , x 2 = r , x 3 = z, we have the metric coefficients g 11 = r 2 , g 22 = g 33 = 1 and the components B 1 = B θ = r B 1 , B 2 = B r = B 2 , B 3 = B z = B 3. The Hamiltonian variables read26 
(34)
(35)
(36)
(37)
In the large aspect ratio approximation, we usually suppose the following equilibrium magnetic field components:4 
(38)
such that the magnetic surfaces r = const . are coaxial cylinders. On each cylinder, the magnetic field lines are helices such that, after a complete toroidal turn (which corresponds to a whole excursion of 2 π R 0 along the periodic cylinder), the corresponding value of its poloidal angle increases by an angle ι, called rotational transform (in stellarator literature). Hence,
(39)
where, in general, the rotational transform is different for each magnetic surface.
In the tokamak literature, we use the so-called safety factor q = 2 π / ι (not to be confused with the canonical variable q used before). From the magnetic field line equations,
(40)
such that, in the large aspect ratio approximation,
(41)
If the safety factor varies monotonically with r, the systems actually presents a different rotational transform ι for each magnetic surface. The derivative dq/dr is also called magnetic shear and is non-null for a monotonic q-profile. If there are radial positions for which q(r) has extrema, the magnetic shear is zero (shearless) at those positions, and the variation of q(r) is non-monotonic.7 
The canonical momentum (35) is
(42)
up to an unessential constant, whereas the Hamiltonian (37)
(43)
Finally, we perform a non-canonical transformation in order to rescale variables,
(44)
and the new Hamiltonian is H 0 = R 0 H / B 0, written as
(45)
where the rescaled variable J is the action, and the poloidal angle θ is the angle of an action-angle pair of variables.
For an example, let us consider a plasma column of radius a, for which the electric current density j has cylindrical symmetry with respect to the axis, and carrying a total plasma current Ip,
(46)
where j 0 = 2 I p / π a 2. Applying Ampères circuital law, we obtain the poloidal field radial profile
(47)
where B θ a = μ 0 I P / ( 2 π a ). The corresponding safety factor (41) is given by
(48)
where q a = ( 2 π a 2 B 0 ) / ( μ 0 R 0 I P ) such that, at the symmetry axis, we have q 0 = q a / 2.
Substituting (48) into (45) gives the field line Hamiltonian,
(49)
The integrable equilibrium configuration is described by a “time”-independent Hamiltonian H 0 ( J ), in which the canonical equations are
(50)
Hence, J is a constant, and, from (41), the field lines are helices wound around invariant tori of radii J according to their safety factors q(J). If q ( J ) = m / n, where m and n are integers, the respective torus is called “rational,” otherwise the torus is irrational.

Divertors are devices used in tokamak experiments with the purpose to displace the interactions between the plasma particles and the tokamak wall, thereby avoiding direct contact between them and improving plasma confinement.4,38 Initially, the divertors were designed to act directly over the toroidal or the poloidal field of the plasma and they required additional coil currents of the magnitude of plasma currents or even larger.39 This led to experimental limitations and technological problems for the tokamak operation.39 As an alternative, Karger and Lackner proposed the helical divertor, which requires smaller currents and possesses helical symmetry, which generates a magnetic field that resonates with the field at a surface in the plasma boundary, which is diverted.39 

The resonance created by the divertor can also lead to a chaotic motion in the plasma edge, a process called “ergodization.”40,41 The term “ergodic,” however, has been later replaced by “chaotic,” which is a more adequate description of the area-filling orbit created when the invariant manifolds stemming from unstable periodic orbits intercept in a complicated way forming the homoclinic tangle.42 The chaotic field lines increase the diffusion coefficient at the boundary of the plasma, reducing the plasma contamination,40 controlling the MHD oscillations,41 reducing thermal flux density,43 and controlling plasma–wall interaction.44 For more information about the theoretical and experimental development of helical divertors, confer Refs. 39, 40, 43, 45, and 46.

The external magnetic fields generated by the helical divertor create magnetic islands that can overlap and, consequently, form a stochastic layer in the plasma edge. Therefore, such a divertor is also called ergodic magnetic limiter (EML).43 The EML is a filamentary current ring with length , wound around the torus (with radius a). There are two types of current segments in a EML (Fig. 1): straight segments parallel to the magnetic axis and curved segments along the poloidal direction. There are m pairs of segments, such that two adjacent segments carry a current IL in opposite directions,47 which produces a resonant helical field.41 

FIG. 1.

Schematic view of a ergodic magnetic limiter in a tokamak with a large aspect ratio.

FIG. 1.

Schematic view of a ergodic magnetic limiter in a tokamak with a large aspect ratio.

Close modal
Neglecting border effects, the magnetic field produced by an EML has the following components:48 
(51)
(52)
where the factor f ( ϕ ) is
(53)
whose Fourier decomposition, due to the 2 π-periodicity in the ignorable variable ϕ, is
(54)
Changing to the action variable J = r 2 / 2 and using (54), the EML Hamiltonian reads
(55)
where we define
(56)
(57)
The effect of an EML upon the equilibrium magnetic surfaces can be regarded as a quasi-integrable Hamiltonian system
(58)
if the perturbation strength is such that | H 1 | | H 0 |. On defining the non-dimensional quantities
(59)
the perturbation strength (56) given by
(60)
is small, for typical values of a and qa, provided ε 1 and ξ 1.

In order to verify whether or not these conditions are satisfied, we will take parameters from the TCABR (Tokamak à Chauffage Alfvén Brésilien at Instituto de Física, Universidade de São Paulo, Brazil) presented in Ref. 49, where R 0 = 0.61 m and a = 0.18 m. The plasma current is about I p = 0.1 MA, and the toroidal field at the magnetic axis is B 0 = 1.1 T. The safety factor is q a = 2.95 3 at the plasma edge, and q 0 = 1.5 at the magnetic axis. An EML has been installed in TCABR with m = 3 pairs of wires with length = 0.1 m, carrying a current about I L = 2500 A.50 These values imply that ε = 0.025 and ξ = 0.163 are small enough to justify treating the EML field as a Hamiltonian perturbation upon the equilibrium magnetic surfaces. Ergodic limiters have also been used in other tokamaks as in Textor,2 Tore-Supra,46 and Text.43 

A resonance occurs wherever the phase m θ n ϕ is constant with respect to the ignorable variable ϕ, such that
(61)
From (41) it follows that, at the radial location r * of a given resonance, the safety factor is a rational number. Using the definition of J [Eq. (44)] and the safety factor q (48), the respective action variable J * in the resonance is defined by
(62)
and it is also the position of a rational torus.
Near the exact resonance position, the term cos ( m θ n ϕ ) slowly oscillates, whereas all the remaining terms in the Fourier expansion vary rapidly and vanish if an average is performed over ϕ. There remains only the resonant term, which reads
(63)
According to Poincaré–Birkhoff theorem, all resonant (rational) tori are destroyed under a non-integrable perturbation, leaving in their places an even number of fixed points, half of them elliptic and half hyperbolic ones.51 Let us concentrate our attention on some elliptic point at a given rational tori with q = m / n. Expanding the resonant Hamiltonian in the vicinity of J = J * in powers of the small difference Δ J = J J *, we have
(64)
in such a way that, using (49), the Hamiltonian describing the motion near a resonance is
(65)
Performing a canonical transformation ( Δ J , θ , ϕ ) ( I , ψ ) using the generating function
(66)
a straightforward calculation gives the pendulum Hamiltonian
(67)
where ψ = m θ n ϕ, and
(68)
(69)
The phase trajectories described by the pendulum Hamiltonian are schematically represented in Fig. 2. We observe closed curves around the Poincaré–Birkhoff elliptic point ( I = 0 , ϕ = 0 ), with a separatrix connecting the hyperbolic points ( I = 0 , ϕ = ± π ). The half-width Imax of this island structure corresponding to a m/n-resonance is
(70)
hence, proportional to the factor ε ξ 1. By the same token, the oscillation frequency around the elliptic point is | F G | 1 / 2.
FIG. 2.

Phase space for the pendulum described by the Hamiltonian function (67). The trajectories can be closed curves around the elliptic point ( ψ = 0 , I = 0), indicating the oscillation around the fixed point, or the “open” curves that represent the rotation of the pendulum. The curve that connects the hyperbolic points ( ϕ = ± π , I = 0) is the separatrix.

FIG. 2.

Phase space for the pendulum described by the Hamiltonian function (67). The trajectories can be closed curves around the elliptic point ( ψ = 0 , I = 0), indicating the oscillation around the fixed point, or the “open” curves that represent the rotation of the pendulum. The curve that connects the hyperbolic points ( ϕ = ± π , I = 0) is the separatrix.

Close modal

The pendulum Hamiltonian describing the resonance is integrable because we have averaged out the non-resonant terms in (55). If we include these terms again, the system will become quasi-integrable and the pendulum separatrices will no longer join smoothly, but rather will present an infinite number of homoclinic and heteroclinic points. The dynamics near such points is known to be chaotic, and, as a result, instead of separatrices, the islands will have a thin stochastic layer of chaotic motion.51 As long as the intensity of perturbation is small enough, these locally chaotic layers do not connect themselves, preventing large-scale chaotic transport of field lines. If the limiter current, however, is larger than a critical value, the locally chaotic layers merge together forming a globally chaotic region, and allowing large-scale chaotic transport. Pendulum approximation have been used to estimate the islands' width and to apply Chirikov criterion to find the critical perturbation amplitudes to create a chaotic layer in the plasma.52,53 We remark that Escande and Momo have derived a similar formula for the island half-width without using Fourier components like A m ( J * ), but rather using the magnetic flux through a ribbon, the edges of which are lines passing by the elliptic and hyperbolic points in a given magnetic island.36 

The EML Hamiltonian (55) exhibits an explicit dependency on the ignorable variable ϕ. For non-autonomous systems, the trajectories belong to an extended phase space, where the time is treated as a coordinate.51 For the quasi-integrable Hamiltonian system in (58), the solutions are in a three dimensional phase space and the flow is parameterized by the variable ϕ. In this way, a state is determined by three variables: J, θ, and ϕ.

Instead of studying the solution of the system in a three dimensional geometric space, we can reduce the dimensionality of the problem by the construction of a Poincaré surface. The Poincaré map is formed by the intersection of the solutions in the surface defined at a constant value of ϕ. In this way, we have the values of J and θ for when the magnetic field lines cross the surface, i.e., for each complete turn in the toroidal direction.

Associating Eqs. (49), (55), and (58), we obtain the Hamiltonian function for the magnetic field lines under the effect of EML,
(71)
Defining a normalized action I = J / ( a 2 / 2 ), we can write a normalized Hamiltonian H = H / ( a 2 / 2 ), given by
(72)
The only free control parameter in (72) is the ratio ε between the magnetic limiter current (IL) and the total plasma current (IP), for a fixed value of m.
From (72), we obtain the Hamilton equations as follows:
(73)
where f ( ϕ ) is the factor given by (53) and (54), related to the perturbation created by a limiter ring of length .

Integrating Eqs. (73), for initial conditions [ I ( ϕ = 0 ) , θ ( ϕ = 0 )], using a symplectic Euler54 method and defining the Poincaré section at ϕ = 0 ( mod 2 π ), we construct the Poincaré sections in Figs. 3(a) and 3(b), for a scenario of small ( ε = 0.025) and large ( ε = 0.15) limiter currents, respectively.

FIG. 3.

Poincaré sections for the ergodic limiter systems, defined by (73), with parameters m = 3 and ξ = 0.163, for (a) ε = 0.025 (small limiter current scenario) and (b) ε = 0.15 (large limiter current scenario).

FIG. 3.

Poincaré sections for the ergodic limiter systems, defined by (73), with parameters m = 3 and ξ = 0.163, for (a) ε = 0.025 (small limiter current scenario) and (b) ε = 0.15 (large limiter current scenario).

Close modal

For the Poincaré section in Fig. 3(a), the limiter current corresponds to 2.5% of the total plasma current IL. In this scenario, we observe regular solutions in most part of the space, represented by the rotational circles and the three islands (oscillatory circles). We observe a thin chaotic layer acting as a “separatrix” of the island. Since ε is too small, the width of this chaotic layer is so tiny it resembles a separatrix curve, as the one presented in the pendulum phase space in Fig. 2. If the limiter current is increased until it corresponds to 15% of the total plasma current [six times the current in Fig. 3(a)], we have the Poincaré section shown in Fig. 3(b). The second Poincaré section also shows three islands, and the separatrix between them is replaced by a thick chaotic layer. The chaotic behavior emerges with the increase in the perturbation parameter ε, i.e., with the increase in the current in the ergodic limiter.

Finally, we would like to estimate until what value of ε Eq. (70) is a good approximation for the half-width of the islands in the phase space. We numerically solve the system (73), construct the Poincaré section, and compare the half-width of the islands for each ε with the value predicted by Eq. (70). The results are presented in Fig. 4, and we observe that the pendulum approximation is valid for the half-width of the islands in the phase space until ε 0.1. For higher values of ε, the value of Imax does not increase at the same rate proportional to ε 1 / 2. For ε > 0.1, we observe small increases and decreases in Imax, which represents the enlargement and the following destruction of the island.

FIG. 4.

Half-width of the islands in the phase space for different values of ε. The value of Imax, indicated by the black squares, was obtained analyzing the islands for the Hamiltonian system (72) for each ε, with m = 3 and ξ = 0.163. The red curve is obtained by Eq. (70) multiplied by a scale factor. For smaller values of ε, the red curve agrees with the black points, i.e., Imax follows the relation I max ε 1 / 2 given by the pendulum approximation for ε 0.1.

FIG. 4.

Half-width of the islands in the phase space for different values of ε. The value of Imax, indicated by the black squares, was obtained analyzing the islands for the Hamiltonian system (72) for each ε, with m = 3 and ξ = 0.163. The red curve is obtained by Eq. (70) multiplied by a scale factor. For smaller values of ε, the red curve agrees with the black points, i.e., Imax follows the relation I max ε 1 / 2 given by the pendulum approximation for ε 0.1.

Close modal
Magnetic flux coordinates are often used both in theoretical and computational studies of MHD equilibria in toroidal plasma devices.55 They are denoted by ( θ , ψ , ζ ), where ψ is a magnetic surface label, whereas θ and ζ are angle-like variables, often called poloidal and toroidal angles, although they do not have a direct geometrical meaning as the angles ( θ , ϕ ) introduced in Sec. IV. According to Eqs. (13) and (18)–(21), the curvilinear coordinates are
(74)
such that θ and ζ increase by 2 π after a complete turn around the torus.
For a stationary plasma without flow, the equilibrium MHD condition1 
(75)
states that the expanding tendency caused by plasma pressure is counterbalanced by a magnetic force produced by a current density j interacting with the resultant magnetic field B. Dotting (75) with B results in
(76)
such that magnetic field lines lie on constant pressure surfaces, which are also called flux surfaces or magnetic surfaces. In general, a quantity ψ is a magnetic surface label if ψ = const . on all its points,
(77)
In other words, a magnetic surface is a coordinate surface for which x 2 = ψ = const .. Moreover, the magnetic axis—which is a x3-coordinate curve—is a degenerate magnetic surface of zero volume, with ψ = 0 on each of its points.
Various physical quantities can play the role of a magnetic surface label, such as the pressure itself and the volume enclosed by a magnetic surface, for example. However, in the specific case of flux coordinates, ψ is chosen to be proportional to the toroidal flux, i.e., to the magnetic flux enclosed by a magnetic surface,
(78)
where the vectorial area element perpendicular to a coordinate surface x 3 = const . is
(79)
and St is the cross section of the magnetic surface with the plane ζ = const .
Applying Stokes theorem in (78) gives
(80)
where Ct is the boundary of the surface St, with the line element
(81)
such that the path integral corresponds to a short turn along the poloidal angle θ,
(82)
Equation (82) is the definition of action coordinate, and it is canonical conjugate with an angle, here the poloidal angle θ.56 
Since we are considering a toroidal magnetic surface, A1 does not depend on the toroidal angle ζ. In principle, A1 depends on x1 and x2, however, if it does not depend on x1, then the canonical momentum is the toroidal flux itself,
(83)
canonically conjugated to the coordinate
(84)
and with the time-like variable equal to the toroidal angle,
(85)
which is an ignorable coordinate for toroidal magnetic surfaces.
Now, consider the magnetic flux through a ribbon-like surface that extends from the magnetic axis to the magnetic surface, being a coordinate surface x 1 = const . The poloidal flux is proportional to the magnetic flux through this surface Sp,
(86)
where
(87)
is the vectorial area element perpendicular to a coordinate surface x 1 = const . By Stokes' theorem, it results as
(88)
where Ct is the boundary of the surface St, with the line element
(89)
and the integral amounts to a long turn along the toroidal angle ζ,
(90)
Here, the sign of the poloidal flux α depend on the direction of the plasma current.
If A3 does not depend on x3, then the field line Hamiltonian is the poloidal flux,
(91)
With these associations, the magnetic field line equations are equivalent to Hamilton's equations,
(92)
(93)
Since e ̂ i = x i are the contravariant basis vectors, according to (74), we can write the vector potential in magnetic flux coordinates as
(94)
Let us define a scalar function G by the condition
(95)
such that its gradient is
(96)
Subtracting (96) from (94), we have
(97)
We define the toroidal and poloidal and magnetic fluxes in terms of the derivatives of the scalar function introduced in (95),
(98)
(99)
Note that this amounts to choosing a determined gauge. Substituting both expressions in (97), the vector potential reads
(100)
Taking the rotational of this expression and using standard vector identities, we obtain the magnetic field in terms of the flux coordinates in the form
(101)
also known as Clebsch representation.55 This is the most general representation of a magnetic field satisfying simultaneously the conditions B · ψ = 0 and · B = 0.
Observe that, using flux coordinates, it is possible to express the safety factor, which is a surface quantity, as the ratio between these fluxes. From Eq. (93),
(102)
supposing a one-dimensional equilibrium for which the function α = α ( ψ ) does not depend on ζ and θ. In this case,
(103)
and the Clebsch representation (101) reads
(104)
where the factor 2 π is absorbed in the rotational transform ι.
Let us exploit the variational principle for field lines
(105)
in order to obtain the Euler–Lagrange equations that correspond to the magnetic field line equations. Using (100), we have the variation
(106)
Inserting
in (106), it follows that (105) becomes
(107)
The third term inside the braces vanishes because
since 1 and 2 are fixed points. Hence,
(108)
which holds for arbitrary variations in ψ and θ if the coefficients vanish identically, giving
(109)
(110)
which are the magnetic field line equations (92) and (93), written in canonical form. This results independs on the gauge used, since the term G disappears during the calculation.
Let us first consider, as an example, the integrable equilibrium tokamak magnetic field, for which the Hamiltonian α depends only on the canonical momentum ψ, as also considered in Eq. (102). In this case, we can rewrite Hamilton's equations (109) and (110) in the following form:
(111)
(112)
where q ( ψ ) = α 0 ( ψ ) / ψ is the safety factor of the unperturbed magnetic surfaces (the subscript in α stands for this fact). In this case, we identify ψ as an action variable, θ being its conjugate angle. Since ψ is a constant of motion, parameterized by the time-like variable ζ, the equilibrium consists of nested tori, which can be rational or irrational according to the corresponding value of q ( ψ ).
A magnetostatic non-symmetric perturbation can be represented, as in the cylindrical case, by a term δ α ( ψ , θ , ζ ) in the field line Hamiltonian, which now reads
(113)
where K > 0 is a parameter that represents the strength of the perturbation, with respect to the equilibrium. The corresponding Hamilton's equations
(114)
(115)
can, in principle, be integrated with respect to the time-like variable ζ. A Poincaré map is obtained by sampling the values of ( ψ , θ ) at fixed intervals of ζ. If, as it is often assumed, we sample variables after a complete toroidal turn, then ( ψ n , θ n ) are the values of the action and angle variables at the nth piercing of the magnetic field line with a plane ζ = const .
Since the coordinates of each piercing are unique functions of the coordinates of the previous one, we are able to obtain a two-dimensional map in the general form
(116)
(117)
where n = 0 , 1 , 2 , can be interpreted as a discrete time-like variable, and A and B are functions that can be obtained analytically in some special cases.
It is known, from Hamiltonian dynamics, that the above map represents a canonical transformation ( ψ n , θ n ) ( ψ n + 1 , θ n + 1 ), corresponding to a generating function of the second kind, written as51 
(118)
where the first term generates the identity transformation, and the second and third terms are related to the equilibrium and perturbation, respectively.
The equations for this canonical transformation are
(119)
(120)
Starting again from the unperturbed case (K = 0), we have that
(121)
(122)
which is just the solution of Eqs. (111) and (112), provided we make the identification
(123)
For considering the perturbed case, it is useful to define the following functions:
(124)
(125)
thus satisfying the condition
(126)
in such a way that the map equations are
(127)
(128)
Another consequence of the above map being a canonical transformation is that it preserves areas in the Poincaré surface of section: d ψ n + 1 d θ n + 1 = d ψ n d θ n. This implies that the Jacobian of the transformation has an absolute value equal to the unity, i.e., | J | = 1, where
(129)
In fact, the map Eqs. (127) and (128) is area preserving, provided (126) is fulfilled.

In order to put these equations into the form (116) and (117), it is necessary to solve them first for ψ n + 1. Although this can be done analytically in some cases, it is always possible to use root-finding methods to do so numerically. Another important point, emphasized by Balescu and co-authors, is that the field line map must have two properties: (i) if ψ 0 > 0, then ψ n > 0, for all values of n; (ii) if ψ 0 = 0, then ψ n 0 for all n.34 The former property comes from the definition of the coordinate ψ, which must be a definite positive number, whereas the latter is related to the fact that ψ = 0 stands for the magnetic axis (which is a degenerate magnetic surface).

Balescu proposed a map (called tokamap) that satisfies both requirements, namely,34 
(130)
(131)
It is actually possible to analytically solve (31) for ψ n + 1, but there are two solutions for a given ( ψ n , θ n ). We can preserve uniqueness by choosing the positive root, viz.,
(132)
where
(133)
Balescu and co-workers34 have studied the properties of the tokamap for the following choice of safety factor:
(134)
where q0 is the safety factor at the magnetic axis ψ = 0. For numerical simulations, it has been the convention that ψ = 1 is the position of the tokamak wall, such that 0 ψ 1 is the physical range of this variable. The safety factor increases monotonically to the tokamak wall, where it is q ( ψ = 1 ) = 4. Since this function is monotonically increasing, the corresponding tokamap (130)–(131) satisfies the twist property. As a consequence of the monotonic increase in the safety factor, the winding number profile presents a monotonic behavior in ψ. The winding number for a solution of a system that exhibits a periodicity in the θ variable and is defined by the limit
(135)
which converges for periodic and quasi-periodic solutions, while it is not defined for chaotic trajectories. For K = 1, we have the Poincaré section and the winding number profile, calculated in θ = 0.5 for a final iteration time of 106 iterations, showed in Fig. 5.
FIG. 5.

Solutions of the tokamap for K = 1. For the phase space in (a), we only observe periodic and quasi-periodic solutions, and their respective winding numbers are showed in the profile in (b). The highlighted winding number plateaus in (b) correspond to the colored islands with the same color in (a).

FIG. 5.

Solutions of the tokamap for K = 1. For the phase space in (a), we only observe periodic and quasi-periodic solutions, and their respective winding numbers are showed in the profile in (b). The highlighted winding number plateaus in (b) correspond to the colored islands with the same color in (a).

Close modal

We observe that the tokamap exhibits mainly periodic and quasi-periodic solutions for K = 1, indicated by the existence of only islands and rotational circles in the Poincaré section of Fig. 5(a). Like in Sec. IV C, if the perturbation strength is too small, the size of a chaotic layer in the neighborhood of an island is so tiny that it can be revealed only by magnifications of the Poincaré section. From the winding number profile calculated in θ = 0.5 [Fig. 5(b)], we observe a defined ωn for almost every value of ψ, and the profile monotonically decreases. The possible exceptions consist of tiny intervals for which the orbit is chaotic.

In Fig. 5(b), we choose three different plateaus and highlight them with the colored rectangles. The correspondent island of the plateau is shown with the same color in the Poincaré section of Fig. 5(a). From the values of ωn, we identified a direct relation with the period of the islands. The winding number is related to the period τ of the island by ω n = 1 / τ. For example, the red island of period 1 presents a winding number equal to ω n = 1 / 1. The green and pink islands present winding numbers equal to ω n = 0.5 = 1 / 2 and ω n = 0.33 = 1 / 3, respectively. These periodic islands are on rational tori, since we can write their frequencies as a ratio between two integer numbers.

Increasing the perturbation parameter to K = 3.5, we have the Poincaré section and the winding number profile showed in Fig. 6, where we observe that some regular solutions are replaced by stochastic layers, represented by the chaotic seas around the green and the orange lines. The chaotic behavior is restricted, and the chaotic regions are not connected. If we increase K, these chaotic regions will eventually enlarge and merge together into a single area-filling chaotic orbit. Following the same methodology as for Fig. 5, we computed the winding number profile, at θ = 0.5, and highlight the plateaus of constant ωn values. Again, we observed the directed relation between the winding number value and the period τ of the islands. The red, green, and pink islands of Fig. 5 are also seen here, with ω n = 1 / 1 = 1 , ω n = 1 / 2 = 0.5, and ω n = 1 / 3 = 0.33 , respectively. We also highlight two other chains of islands, orange and blue, with ω n = 2 / 3 = 0.66 and ω n = 2 / 5 = 0.4, respectively. For these last two islands, we have that the trajectory always “jumps” one island during the time evolution, i.e., if we choose an initial condition in the blue island close to θ = 0.5 (the third island counting from left to right), the next point will be in the fifth island, the second iteration will be in the second island, and so on. The chaotic regions are represented by the “gaps” in the winding number profile, since the limit (135) does not converge.

FIG. 6.

Tokamap for K = 3.5. The phase space in (a) exhibits periodic and quasi-periodic solutions as a chaotic behavior represented by the sparse points around the green and orange islands. The winding number profile calculated in θ = 0.5 is showed in (b).

FIG. 6.

Tokamap for K = 3.5. The phase space in (a) exhibits periodic and quasi-periodic solutions as a chaotic behavior represented by the sparse points around the green and orange islands. The winding number profile calculated in θ = 0.5 is showed in (b).

Close modal

The Tokamap has been used to interpret the particle escape to the wall in Textor Tokamak. In particular, the theoretically obtained fractal distribution of field lines at the plasma edge is similar to the one measured in this tokamak.2,23

In a subsequent paper, Balescu had used another choice for the safety factor, namely,57,58
(136)
which is a non-monotonic function of ψ, and the corresponding map does not satisfy the twist condition ( θ n + 1 / ψ n 0).7 As a consequence of the violation of the twist condition, the winding number profile presents a non-monotonic behavior. It has been called revtokamap, since it describes a profile with reversed shear, with an extreme (shearless point). The minimum ψm of the profile (136) is given by
(137)
The parameters q0, qm, and q1 are chosen to reproduce approximate experimental data, and a is defined as a = ( 1 q m / q 0 ) / ψ m 2.

The violation of the twist property in the Poincaré section brings consequences to the solutions of the map. First, the extremum point in the shear corresponds to the extremum point in the winding number profile. This extremum point belongs to the shearless curve in the phase space. Second, since the map is non-twist, two solutions can be isochronous, i.e., two distinct solutions present the same period and winding number.

Following the same procedure applied to the tokamap in the last section, we construct the phase space and compute the winding number profile for two values of K. In Fig. 7, we have the results for K = 0.5.

FIG. 7.

Revtokamap for a lower perturbation parameter (K = 0.5). The phase space (a) is composed of regular solutions, as islands and rotational circles, which is also indicated by winding number profile at (b), since ω is defined for all values of ψ. The red curve at (a) corresponds to the extreme value of ω highlighted by the red point in the profile at (b). The winding number profile is computed in the line θ = 0.45. We set q 0 = 3 , q 1 = 6.0, and q m = 1.5.

FIG. 7.

Revtokamap for a lower perturbation parameter (K = 0.5). The phase space (a) is composed of regular solutions, as islands and rotational circles, which is also indicated by winding number profile at (b), since ω is defined for all values of ψ. The red curve at (a) corresponds to the extreme value of ω highlighted by the red point in the profile at (b). The winding number profile is computed in the line θ = 0.45. We set q 0 = 3 , q 1 = 6.0, and q m = 1.5.

Close modal

For the results shown in Fig. 7, we conclude that the revtokamap only presents regular solutions, for K = 0.5. The phase space exhibits only islands and rotational curves, and the winding number is defined for every ψ [ 0 , 1 ]. The winding number profile in Fig. 7(b) presents a nonmonotonic behavior, and a maximum value, indicated by the red symbol, around ψ = 0.5. This point corresponds to the shearless point mentioned before, and it belongs to the shearless curve, also indicated in red in Fig. 7(a). The winding number plateaus highlighted by the orange and blue rectangles correspond to the twin islands (isochronous solutions) of the same color in Fig. 7(a). The twin islands present the same winding number, same period, and each chain is located at one side of the shearless curve. We also observe the islands of period 3 (pink islands) with winding number ω n = 0.333 As identified in Figs. 5 and 6, the winding number of each island satisfies the relation ω n = 1 / τ, where τ is the period of the island.

Keeping the values for q0, q1, and qm, in Fig. 8, we have the Poincaré section and the winding number profile for K = 2.0. From Fig. 8(a), we observe that when the perturbation parameter K is increased to K = 2.0, some regular solutions at the upper region of the phase space are replaced by chaotic trajectories, indicated by the chaotic sea. The isochronous solutions of period 2, the blue and orange islands, remain and other two chains of islands are identified, the green and pink islands emerge. The latter islands correspond to the plateaus in the winding number profile in Fig. 8(b), highlighted by the same color. The isochronous solutions present ω n = 0.6 = 3 / 5. The maximum value of ωn, highlighted by the red point in Fig. 8(b), corresponds to the shearless curve, the red rational circle in Fig. 8(a).

FIG. 8.

Revtokamap for K = 2.0, q 0 = 3 , q 1 = 6.0, and q m = 1.5. In (a), we have the Poincaré section, and in (b), the winding number is computed in θ = 0.5.

FIG. 8.

Revtokamap for K = 2.0, q 0 = 3 , q 1 = 6.0, and q m = 1.5. In (a), we have the Poincaré section, and in (b), the winding number is computed in θ = 0.5.

Close modal

The Hamiltonian description of magnetic field lines is widely used for magnetic confined plasmas, allowing the use of the powerful methods of Hamiltonian theory to interpret the results and characterize the dynamic regimes observed in experiments and computational simulations. The contributions of the Hamiltonian approach in plasma physics range from the application of area-preserving maps, like the standard map, for the study of chaos,59 to the Greene residue60 and the Chirikov resonance overlap criterion,61 the non-twist systems, the renormalization group approach,62–64 and chaotic transport, just to name a few.5,11,15 Despite the importance and wide range of application, there are a few elementary expositions on the subject. This paper attempts to fill this gap, presenting a tutorial of how the magnetic field lines are related to Hamiltonian systems with some representative application in toroidal plasmas.

Magnetic field lines are a non-mechanical example of a system that can be described by the Hamiltonian formalism. From the variational principle, we were able to present the description of field lines in confined plasmas for different coordinates and with the inclusion of an external perturbation. We also present applications of the description with the tokamap and revtokamap analysis. The examples presented here are simple, but they are paradigmatic for the study of confined plasmas and are adequate to demonstrate the Hamiltonian approach in a pedagogical form.

We wish to acknowledge the support of the following Brazilian research agencies: Coordination for the Improvement of Higher Education Personnel (CAPES) under Grant Nos. 88887.320059/2019-00 and 88881.143103/2017-01, the National Council for Scientific and Technological Development (CNPq - Grant Nos. 403120/2021-7 and 301019/2019-3), and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under Grant Nos. 2022/12736-0 and 2018/03211-6.

The authors have no conflicts to disclose.

Ricardo Luiz Viana: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Michele Mugnaine: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Ibere Luiz Caldas: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Validation (equal); Visualization (equal); Writing – original draft (equal).

The data that support the findings of this study are openly available at http://henon.if.usp.br/OscilControlData/HamiltonianDescriptionTutorial/, Ref. 65.

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