1 Introduction
The Lagrangian approach to deriving drift kinetic and gyrokinetic theories (Brizard Reference Brizard2000; Sugama Reference Sugama2000; Brizard & Hahm Reference Brizard and Hahm2007) has proven to be successful at producing strongly magnetized kinetic plasma models with exact energy and momentum conservation laws (Scott & Smirnov Reference Scott and Smirnov2010). The philosophy underlying this approach requires all approximations to be implemented at the level of a system Lagrangian. As a result, exact conservation laws are unavoidable, and expressions for the conserved quantities follow systematically from Noether’s theorem.
Conservation laws are not everything, however. Another fundamental attribute of a physical model is its phase space (Lee & Wald Reference Lee and Wald1990). Phase space,
$P$
, is defined to be any space in which the model is equivalent to a dynamical law for points
$p\in P$
of the form
$\text{d}p/\text{d}t=V(p,t)$
, where
$V$
is a time-dependent vector field on
$P$
. Before any mention can be made of a dynamical system’s conservation laws, the ‘arena’ where the dynamics take place must be identified; phase space is precisely this arena. So while it is natural to demand that kinetic plasma models have correct conservation laws, it is equally natural to require that these models have correct phase spaces.
The question I will investigate in this paper concerns the fate of phase space in Lagrangian drift kinetic and gyrokinetic theories. While the Lagrangian method gets the conservation laws right, does it produce a model with the correct phase space? Equivalently, do these theories require too many, too few, or just the right number of initial conditions?
Perhaps surprisingly, the answer to this question depends on the order of accuracy (in
${\it\epsilon}={\it\rho}/L$
) of the gyrokinetic Lagrangian. At very low orders, the question is not interesting; the answer is ‘just the right number.’ In high-flow drift kinetics, ‘very low’ means retaining terms in the guiding centre Hamiltonian that are zeroth order in magnetic non-uniformity. In low-flow drift kinetics and gyrokinetics, ‘very low’ means retaining terms in the Hamiltonian that are second order in magnetic non-uniformity. On the other hand, at higher orders than these specified, the question is much more interesting. In particular, high-flow drift kinetics with a first-order (in magnetic nonuniformity) guiding centre Hamiltonian requires special attention.
In § 3, I will show that Miyato et al. (Reference Miyato, Scott, Strintzi and Tokuda2009)’s variational high-flow first-order electrostatic drift kinetics, which I will refer to as MSST drift kinetics (the acronym corresponds to the names of the authors of (Miyato et al.
Reference Miyato, Scott, Strintzi and Tokuda2009)), has an unphysically large phase space. Where one should only have to specify
$F$
at
$t=0$
to determine the subsequent evolution of the drift kinetic system, this theory requires
${\it\varphi}$
to be supplied independently at
$t=0$
as wellFootnote
1
. This problem is caused by the appearance of a time derivative of the electrostatic potential in the drift kinetic Poisson equation and guiding centre equations of motion. As a consequence, the drift kinetic system exhibits certain malignant features. I argue using linearized equations that MSST drift kinetics supports unphysical rapidly varying modes, akin to the ‘runaway’ solutions allowed by the Lorentz–Abraham–Dirac equation describing radiation reaction. These modes are rapidly varying in the sense that their frequency increases as
${\it\epsilon}$
decreases. Moreover, their presence is entirely a consequence of requiring too many initial conditions; in lower-order drift kinetics, where the size of phase space is correct, the modes do not appear.
Fortunately, there is a way to rescue the Lagrangian drift kinetic method from these doldrums. In § 4, I present a systematic ‘renormalized’ Lagrangian approach to MSST drift kinetics that manifestly retains the physical phase space. The basic idea underlying this reformulation (and slight modification) of MSST drift kinetics is that the system phase-space Lagrangian for all-orders drift kinetics is a better starting point for performing asymptotics than the ‘particle phase-space Lagrangian
$+$
electromagnetic Lagrangian,’ which is the starting point in all previous treatments of variational drift kinetics and gyrokinetics. This perspective enables the formulation of a variational version of the following basic procedure for eliminating extra time derivatives of the potential. Take a time derivative of the drift kinetic Poisson equation to find an approximate expression for the time derivative of the potential in terms of the distribution function and the potential. Then substitute this expression back into the drift kinetic Poisson equation and guiding centre equations of motion.
One great benefit of formulating a variational version of this procedure is that all exact conservation laws of the drift kinetic system are preserved automatically, which would likely not happen if the non-variational version of the technique were applied to solve for the time derivatives. Another is that the numerous specialized tools developed for the analysis of infinite dimensional Lagrangian and Hamiltonian systems may be applied to renormalized MSST drift kinetic theory; see Morrison & Kotschenreuther (Reference Morrison and Kotschenreuther1990) for free energy principles, Craig & Wayne (Reference Craig and Wayne1994) for existence of periodic solutions, Vanneste & Wirosoetisno (Reference Vanneste and Wirosoetisno2006) for adiabatic invariant theory, Wayne (Reference Wayne1990) for KAM theory, and Bourgain (Reference Bourgain1996) for statistical mechanics of Hamiltonian systems. In short, the method is structure-preserving.
Because the derivation of the renormalized Lagrangian involves some relatively advanced techniques from the calculus of variations, I have devoted § 2 to a description of the necessary manipulations in the context of a finite-dimensional toy model of drift kinetics. This toy model illustrates why standard Lagrangian drift kinetics does violence to the drift kinetic phase space without introducing the infinite-dimensional machinery used in drift kinetic field theory. As such, § 2 can be viewed as a simplified version of the entire article.
While this article focuses on a particular drift kinetic model, the ideas it introduces and the techniques it employs are important in a broader context. Most practically, the difficulties introduced by extra time derivatives of the electromagnetic field, and the method to circumvent these difficulties within the Lagrangian framework, are also highly relevant to low-flow gyrokinetic models. This point is driven home by the recent toroidal momentum transport controversy. See Krommes & Hammett (Reference Krommes and Hammett2013) for a summary and critical assessment of the different sides of the debate, and Parra & Catto (Reference Parra and Catto2008) for the paper that initiated the discussion. In Parra et al. (Reference Parra, Barnes, Calvo and Catto2012), the authors argue that certain high-order terms in the gyrocentre Hamiltonian (the
$O({\it\rho}^{\ast 3}T_{e})$
terms) should be retained in a full-f gyrokinetic approach in order to accurately model the transport of toroidal momentum in the low-flow regime on transport time scales. These high-order terms include time derivatives of the electromagnetic field. Therefore, whenever the high-order terms highlighted in Parra et al. (Reference Parra, Barnes, Calvo and Catto2012) are included in a gyrokinetic model (presumably when doing low-flow modelling in the core), the results in the present article will be essential to understand. Moreover, it is worth mentioning that without the method proposed here for dealing with the extra time derivatives of the electromagnetic field, the mathematical and physical soundness of the variational gyrokinetic and drift kinetic approximation would be in question. If the behaviour of high-order gyrokinetics differed significantly from that of low-order gyrokinetics (for instance, due to the presence of unphysical rapidly varying modes), a dark shadow would be cast on the results predicted by the low-order theory.
Speaking more generally than gyrokinetic and drift kinetic models, the methods used in this article will likely prove useful for developing reduced variational models for a wide variety of plasma systems. It is not uncommon to encounter plasma models with high-order time derivatives multiplied by small parameters. The highest-order time derivative tends to set the number of required initial conditions in a model, and a small parameter multiplying this derivative generally indicates the presence of rapidly varying dynamical behaviour. While in the drift kinetic and gyrokinetic systems considered here, the rapidly varying dynamical behaviour is unphysical, this is not always the case. For instance, the Vlasov–Maxwell system can be expressed as the Vlasov–Darwin system plus small higher-order time derivatives. Nevertheless, it is always interesting to study any possible slow dynamical behaviour that such a singularly perturbed plasma model might allow for. In general, slow dynamics will occur when initial conditions are sampled from the so-called slow manifold (Jones Reference Jones1995). The methods employed in this article can be used to find a variational formulation for dynamics on any Lagrangian system’s slow manifold. I am currently using them to identify a variational formulation of dynamics on a slow manifold contained in the Vlasov–Maxwell system. Another interesting application would be identifying a variational principle for the generalized reduced MHD system presented in Kruger, Hegna & Callen (Reference Kruger, Hegna and Callen1998).
2 Two-oscillator drift kinetic theory
2.1 Introducing the all-orders theory
In this section I will analyse the initial value problem for a toy model I will call two-oscillator drift kinetics. The motivation for studying this relatively simple model is that its initial value problem is structurally very similar to that of drift kinetics. In this first subsection I will give a derivation of the all-orders version of the model, which starts from the following system of two coupled one-dimensional oscillators,
where
All-orders two-oscillator drift kinetics is obtained from this ‘particle-space’ model by passing from particle coordinates
$(q,p)$
to ‘guiding centre coordinates’
$(Q,P)$
. Just as in drift kinetic theory, the guiding centre coordinates are related to the particle coordinates by a transformation of the particle phase space that depends parametrically on the first
$N$
time derivatives of the field
${\it\varphi}$
, where
$N$
is some positive integer. Let
$j{\it\varphi}=({\it\varphi},\partial _{t}{\it\varphi},\ldots ,\partial _{t}^{N}{\it\varphi})$
and
$T_{j{\it\varphi}}:\mathbb{R}^{2}\rightarrow \mathbb{R}^{2}$
be the gyrocentre coordinate transformation. By definition,
Note that this transformation can be thought of as passing into a moving frame on the particle phase space; the frame moves as the field
${\it\varphi}$
evolves.
For the sake of concreteness and simplicity, assume
$T_{j{\it\varphi}}$
is given by
where
${\it\epsilon}$
is a constant with dimensions of inverse frequency squared. The inverse of
$T_{j{\it\varphi}}$
is therefore
Using these explicit expressions for the guiding centre transformation, I will now determine the differential equations governing all-orders two-oscillator drift kinetics.
Suppose that
$q,p,{\it\varphi}$
satisfy the dynamical equations of two-oscillator kinetics. I will find differential equations governing the quantities
$Q=q+{\it\epsilon}\ddot{{\it\varphi}}$
,
$P=p$
and
${\it\varphi}$
. Using the field equation for two-oscillator kinetics, it is straightforward to see that
$Q$
is related to
$q$
and
${\it\varphi}$
by
which also gives a relationship between the time derivatives of
$Q,q$
, and
${\it\varphi}$
according to
Therefore whenever
$q<1/2{\it\epsilon}g$
,
$$\begin{eqnarray}\displaystyle \displaystyle q & = & \displaystyle \frac{1}{2{\it\epsilon}g}\left(1-\sqrt{1-4{\it\epsilon}gQ-4{\it\epsilon}^{2}{\it\omega}_{2}^{2}g{\it\varphi}}\right)\nonumber\\ \displaystyle \displaystyle & = & \displaystyle Q+{\it\epsilon}(gQ^{2}+{\it\omega}_{2}^{2}{\it\varphi})+O({\it\epsilon}^{2})\nonumber\\ \displaystyle \displaystyle & = & \displaystyle \hat{q}_{-}(Q,{\it\varphi}),\end{eqnarray}$$
and whenever
$q>1/2{\it\epsilon}g$
,
$$\begin{eqnarray}\displaystyle \displaystyle q & = & \displaystyle \frac{1}{2{\it\epsilon}g}\left(1+\sqrt{1-4{\it\epsilon}gQ-4{\it\epsilon}^{2}{\it\omega}_{2}^{2}g{\it\varphi}}\right)\nonumber\\ \displaystyle \displaystyle & = & \displaystyle \frac{1}{{\it\epsilon}g}-Q-{\it\epsilon}(gQ^{2}+{\it\omega}_{2}^{2}{\it\varphi})+O({\it\epsilon}^{2})\nonumber\\ \displaystyle \displaystyle & = & \displaystyle \hat{q}_{+}(Q,{\it\varphi}).\end{eqnarray}$$
Now consider an interval of time when
$q<1/2{\it\epsilon}g$
. Using the previous expressions,
$P=p$
and
$\dot{q}=p$
, it is straightforward to verify that
$\dot{Q}$
and
${\dot{P}}$
are given by
On the ‘top’ sheet
$\hat{q}_{+}$
is used in the equations of motion, while on the ‘bottom’ sheet
$\hat{q}_{-}$
is used. When the system reaches the cut, one of two things happens. If
$P=p=\dot{q}>0$
, then the subsequent evolution of the system occurs on the top sheet. If
$P<0$
, then the subsequent evolution of the system occurs on the bottom sheet. With this knowledge of the sheet structure of
$(P,Q,{\it\varphi},\dot{{\it\varphi}})$
-space together with our multi-valued dynamical vector field, the evolution equations for all-orders two-oscillator drift kinetics are completely specified.
I will conclude this subsection by presenting the Lagrangian formulation of the all-orders two-oscillator drift kinetic system. The Lagrangian is found by substituting the guiding centre transformation into the two-oscillator kinetics Lagrangian, which gives
$$\begin{eqnarray}\displaystyle \bar{L}(Q,P,{\it\varphi},\dot{Q},{\dot{P}},\dot{{\it\varphi}},\ddot{{\it\varphi}},\dddot{{\it\varphi}}) & = & \displaystyle L(Q,P,{\it\varphi},\dot{Q},{\dot{P}},\dot{{\it\varphi}})+{\it\epsilon}(Q\ddot{{\it\varphi}}(2g{\it\varphi}+{\it\omega}_{1}^{2})-P\dddot{{\it\varphi}})\nonumber\\ \displaystyle & & \displaystyle -\,\frac{{\it\epsilon}^{2}}{2}\ddot{{\it\varphi}}^{2}(2g{\it\varphi}+{\it\omega}_{1}^{2}).\end{eqnarray}$$
Because this Lagrangian depends on the third time derivative of
${\it\varphi}$
, its associated Euler–Lagrange equations are given by
2.2 Initial value problem for the all-orders model
Because I was able to write the differential equations governing all-orders two-oscillator drift kinetics explicitly, it is not difficult to see that the phase space for all-orders two-oscillator drift kinetics has the same dimension as the underlying particle-space theory, two-oscillator kinetics. In each case, four numbers must be specified at
$t=0$
in order to uniquely determine a solution. Interestingly, in passing from particle-space to guiding centre phase space, the phase space for the field-particle system becomes folded, i.e. multi-sheeted.
While it is not simple to gain a complete understanding of the dynamical behaviour predicted by all-orders two-oscillator drift kinetics, it is straightforward to determine the characteristic frequencies of oscillations about the bottom-sheet equilibrium
$(Q,P,{\it\varphi},\dot{{\it\varphi}})=0$
. Linearizing equations (2.17)–(2.19) about this equilibrium gives
2.3 Two oscillator drift kinetics and its initial value problem
Because I did not make any approximations in passing from the underlying particle-space model to the guiding centre model, all-orders two-oscillator drift kinetics is an exact theory. The same cannot be said of ordinary drift kinetic theory. In that theory, the coordinate transformation that relates guiding centre coordinates to particle coordinates is only known as an asymptotic series in
${\it\epsilon}={\it\rho}/L$
. As a result, the system Lagrangian for ordinary drift kinetics is not known exactly, but only asymptotically. In particular, the drift kinetic Lagrangian is always expanded in powers of
${\it\epsilon}$
and then truncated at some order.
For the sake of examining the consequences of this incomplete knowledge of the system Lagrangian in drift kinetic theory, let us now expand the two-oscillator drift kinetic Lagrangian in powers of
${\it\epsilon}$
and then drop terms that are
$O({\it\epsilon}^{2})$
or higher, and then re-do the initial value analysis. I will refer to the dynamical system defined by the truncated Lagrangian simply as two-oscillator drift kinetics. The truncated Lagrangian is given by
which again depends on the third time derivative of
${\it\varphi}$
. The Euler–Lagrange equations are now
As I will show in more detail in the next section, conventional Lagrangian drift kinetic theory suffers from problems similar to those that I have highlighted in the context of two-oscillator drift kinetics. In both systems, the root cause of the trouble is the combination of (1) employing a coordinate change on the single-particle phase space that depends on time derivatives of the electromagnetic fields and (2) truncating a ‘field
$+$
particle’ system Lagrangian.
2.4 Rescuing phase space
This article is not meant to paint a depressing picture of Lagrangian drift kinetics. While the flaw with the conventional Lagrangian approach identified in the previous subsection is important to be aware of, it is equally important to know that the flaw is curable. In this subsection I will describe the cure in the context of two-oscillator drift kinetics.
In order to avoid the possibility of destroying the physical structure of phase space without resorting to the all-orders theory, I advocate truncating the phase-space Lagrangian for the entire two-oscillator drift kinetic system. See appendix A for a discussion of the precise meaning of the term ‘phase-space Lagrangian.’ I will explain why this is preferable to the Lagrangian approach described in the previous subsection by first showing that it works and then giving a brief abstract discussion.
First I will derive the phase-space Lagrangian for all-orders two-oscillator drift kinetics. See appendix A, which is a partial generalization of a discussion found in Marsden, Patrick & Shkoller (Reference Marsden, Patrick and Shkoller1998), for a rigorous justification of the procedure I will use to do this. In the derivation I will restrict attention to the bottom sheet (corresponding to
$\hat{q}_{-}$
); the top sheet can be treated in the same manner. Consider the free-endpoint variation of the all-orders two-oscillator drift kinetic Lagrangian. A simple calculation shows
$$\begin{eqnarray}\displaystyle {\it\delta}\int _{t_{1}}^{t_{2}}\bar{L}\,\text{d}t & = & \displaystyle \int _{t_{1}}^{t_{2}}\left(\frac{\partial \bar{L}}{\partial Q}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \dot{Q}}\right){\it\delta}Q\,\text{d}t\nonumber\\ \displaystyle & & \displaystyle +\,\int _{t_{1}}^{t_{2}}\left(\frac{\partial \bar{L}}{\partial P}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial {\dot{P}}}\right){\it\delta}P\,\text{d}t\nonumber\\ \displaystyle & & \displaystyle +\,\int _{t_{1}}^{t_{2}}\left(\frac{\partial \bar{L}}{\partial {\it\varphi}}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \dot{{\it\varphi}}}+\frac{\text{d}^{2}}{\text{d}t^{2}}\frac{\partial \bar{L}}{\partial \ddot{{\it\varphi}}}-\frac{\text{d}^{3}}{\text{d}t^{3}}\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\right){\it\delta}{\it\varphi}\,\text{d}t\nonumber\\ \displaystyle & & \displaystyle +\,[{\it\vartheta}_{Q}{\it\delta}Q+{\it\vartheta}_{{\it\varphi}}{\it\delta}{\it\varphi}+{\it\vartheta}_{\dot{{\it\varphi}}}{\it\delta}\dot{{\it\varphi}}+{\it\vartheta}_{\ddot{{\it\varphi}}}{\it\delta}\ddot{{\it\varphi}}]_{t_{1}}^{t_{2}},\end{eqnarray}$$
where
as the bare all-orders Lagrange
$1$
-form. As described in Marsden et al. (Reference Marsden, Patrick and Shkoller1998), if the Lagrangian
$\bar{L}$
for all-orders two-oscillator drift kinetics were non-degenerate, then
${\it\vartheta}^{\infty }$
would give the ‘symplectic part’ of the system phase space Lagrangian on
$(Q,P,\dot{Q},{\dot{P}},{\it\varphi},\dot{{\it\varphi}},\ddot{{\it\varphi}},\dddot{{\it\varphi}})$
-space. However, because all higher time derivatives of
${\it\varphi}$
than
$\ddot{{\it\varphi}}$
cancel out of the Euler–Lagrange equations,
$\bar{L}$
is degenerate, and I cannot deduce the phase-space Lagrangian so easily. Moreover, it is a good thing that this technique does not work to determine the symplectic part of the system phase-space Lagrangian because
$(Q,P,\dot{Q},{\dot{P}},{\it\varphi},\dot{{\it\varphi}},\ddot{{\it\varphi}},\dddot{{\it\varphi}})$
-space is not the correct phase space for all-orders two-oscillator drift kinetics! The correct symplectic part of the phase-space Lagrangian is given by the dressed Lagrange
$1$
-form
$\tilde{{\it\vartheta}}^{\infty }$
. Here ‘dressing’ means using the all-orders two-oscillator drift kinetic equations of motion, (2.17)–(2.19), to write the bare Lagrange
$1$
-form in terms of only the true phase-space variables
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
.
This calculation proceeds as follows. Formally, the dressed Lagrange 1-form is given by
where the presence of a tilde indicates a dressed quantity. Because the differentials
$\text{d}Q,\text{d}{\it\varphi},\text{d}\dot{{\it\varphi}}$
are already expressed as 1-forms on
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
-space, dressing does nothing to them, i.e.
$$\begin{eqnarray}\displaystyle \tilde{\text{d}\ddot{{\it\varphi}}} & = & \displaystyle -{\it\omega}_{2}^{2}\,\text{d}{\it\varphi}-2g\hat{q}_{-}\text{d}\hat{q}_{-}\nonumber\\ \displaystyle & = & \displaystyle -{\it\omega}_{2}^{2}\,\text{d}{\it\varphi}-\frac{2g\hat{q}_{-}}{\sqrt{D}}(\text{d}Q+{\it\epsilon}{\it\omega}_{2}^{2}\,\text{d}{\it\varphi})\nonumber\\ \displaystyle & = & \displaystyle -{\it\omega}_{2}^{2}\left(1+\frac{1-\sqrt{D}}{\sqrt{D}}\right)\,\text{d}{\it\varphi}-\frac{1-\sqrt{D}}{{\it\epsilon}\sqrt{D}}\,\text{d}Q\nonumber\\ \displaystyle & = & \displaystyle -\frac{{\it\omega}_{2}^{2}}{\sqrt{D}}\,\text{d}{\it\varphi}-\frac{1-\sqrt{D}}{{\it\epsilon}\sqrt{D}}\,\text{d}Q,\end{eqnarray}$$
which is a 1-form on
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
space, as required. Here I have used the identity
$2{\it\epsilon}g\hat{q}_{-}=1-\sqrt{D}$
. To dress the components of
${\it\vartheta}^{\infty }$
, the equations of motion must be used in an analogous fashion. Two of the components require no use of the equations of motion whatsoever, namely
which follows from a second useful identity,
and (2.19). Applying these identities to
$\tilde{{\it\vartheta}}_{{\it\varphi}}$
gives
$$\begin{eqnarray}\displaystyle \tilde{{\it\vartheta}}_{{\it\varphi}} & = & \displaystyle \frac{\partial \bar{L}}{\partial \dot{{\it\varphi}}}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \ddot{{\it\varphi}}}+\frac{\text{d}^{2}}{\text{d}t^{2}}\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\nonumber\\ \displaystyle & = & \displaystyle \dot{{\it\varphi}}-\frac{\text{d}}{\text{d}t}({\it\epsilon}Q(2g{\it\varphi}+{\it\omega}_{1}^{2})-{\it\epsilon}^{2}\ddot{{\it\varphi}}(2g{\it\varphi}+{\it\omega}_{1}^{2}))+\frac{\text{d}}{\text{d}t}(-{\it\epsilon}{\dot{P}})\nonumber\\ \displaystyle & = & \displaystyle \dot{{\it\varphi}}-\frac{\text{d}}{\text{d}t}({\it\epsilon}Q(2g{\it\varphi}+{\it\omega}_{1}^{2})-{\it\epsilon}^{2}\ddot{{\it\varphi}}(2g{\it\varphi}+{\it\omega}_{1}^{2}))+\frac{\text{d}}{\text{d}t}({\it\epsilon}\hat{q}_{-}(2g{\it\varphi}+{\it\omega}_{1}^{2}))\nonumber\\ \displaystyle & = & \displaystyle \dot{{\it\varphi}}-\frac{\text{d}}{\text{d}t}((Q-\hat{q}_{-}-{\it\epsilon}\ddot{{\it\varphi}}){\it\epsilon}(2g{\it\varphi}+{\it\omega}_{1}^{2}))\nonumber\\ \displaystyle & = & \displaystyle \dot{{\it\varphi}}.\end{eqnarray}$$
Similarly,
$\tilde{{\it\vartheta}}_{\dot{{\it\varphi}}}$
is given by
$$\begin{eqnarray}\displaystyle \tilde{{\it\vartheta}}_{\dot{{\it\varphi}}} & = & \displaystyle \frac{\partial \bar{L}}{\partial \ddot{{\it\varphi}}}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\nonumber\\ \displaystyle & = & \displaystyle ({\it\epsilon}Q(2g{\it\varphi}+{\it\omega}_{1}^{2})-{\it\epsilon}^{2}\ddot{{\it\varphi}}(2g{\it\varphi}+{\it\omega}_{1}^{2}))-(-{\it\epsilon}{\dot{P}})\nonumber\\ \displaystyle & = & \displaystyle (Q-\hat{q}_{-}-{\it\epsilon}\ddot{{\it\varphi}}){\it\epsilon}(2g{\it\varphi}+{\it\omega}_{1}^{2})\nonumber\\ \displaystyle & = & \displaystyle 0.\end{eqnarray}$$
It follows that the dressed Lagrange
$1$
-form is given by
$$\begin{eqnarray}\displaystyle \tilde{{\it\vartheta}}^{\infty } & = & \displaystyle P\,\text{d}Q+\dot{{\it\varphi}}\,\text{d}{\it\varphi}+0\,\text{d}\dot{{\it\varphi}}+{\it\epsilon}P\left(\frac{{\it\omega}_{2}^{2}}{\sqrt{D}}\,\text{d}{\it\varphi}+\frac{1-\sqrt{D}}{{\it\epsilon}\sqrt{D}}\,\text{d}Q\right)\nonumber\\ \displaystyle & = & \displaystyle P\left(1+\frac{1-\sqrt{D}}{\sqrt{D}}\right)\,\text{d}Q+\left(\dot{{\it\varphi}}+\frac{{\it\epsilon}P{\it\omega}_{2}^{2}}{\sqrt{D}}\right)\,\text{d}{\it\varphi}\nonumber\\ \displaystyle & = & \displaystyle \frac{P}{\sqrt{D(Q,{\it\varphi})}}\,\text{d}Q+\left(\dot{{\it\varphi}}+\frac{{\it\epsilon}{\it\omega}_{2}^{2}P}{\sqrt{D(Q,{\it\varphi})}}\right)\,\text{d}{\it\varphi}.\end{eqnarray}$$
The phase-space action for all-orders two-oscillator drift kinetics is therefore
where
${\it\gamma}$
is the curve in
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
-space parameterized by the time interval
$[t_{1},t_{2}]$
and
$\tilde{H}^{\infty }$
is the dressed Hamiltonian. The dressed Hamiltonian is obtained from the usual ‘bare’ Hamiltonian,
$$\begin{eqnarray}\displaystyle H(Q,P,\dot{Q},{\dot{P}},{\it\varphi},\dot{{\it\varphi}},\ddot{{\it\varphi}},\dddot{{\it\varphi}}) & = & \displaystyle \frac{\partial \bar{L}}{\partial \dot{Q}}\dot{Q}+\frac{\partial \bar{L}}{\partial {\dot{P}}}{\dot{P}}+\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\dddot{{\it\varphi}}+\left(\frac{\partial \bar{L}}{\partial \ddot{{\it\varphi}}}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\right)\ddot{{\it\varphi}}\nonumber\\ \displaystyle & & \displaystyle +\,\left(\frac{\partial \bar{L}}{\partial \dot{{\it\varphi}}}-\frac{\text{d}}{\text{d}t}\frac{\partial \bar{L}}{\partial \ddot{{\it\varphi}}}+\frac{\text{d}^{2}}{\text{d}t^{2}}\frac{\partial \bar{L}}{\partial \dddot{{\it\varphi}}}\right)\dot{{\it\varphi}}-\bar{L},\end{eqnarray}$$
by using the all-orders two-oscillator drift kinetic equations of motion (2.20)–(2.22) to express the bare Hamiltonian in terms of the true phase-space variables
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
. A straightforward calculation, similar to the calculation of
$\tilde{{\it\vartheta}}^{\infty }$
, shows that the dressed Hamiltonian is given by
By applying fixed-endpoint variations to the phase-space action, it is possible, yet tedious, to verify directly that all-orders two-oscillator drift kinetics admits this alternative variational principle. Indeed, for a general dressed Hamiltonian the Euler–Lagrange equations give
With this phase-space action principle for all-orders two-oscillator drift kinetics in hand, I will now use it to construct an alternative truncated theory that I will refer to as renormalized two-oscillator drift kinetics (I will explain the use of the term ‘renormalized’ shortly). Renormalized two-oscillator drift kinetics is defined simply by replacing
$\tilde{{\it\vartheta}}^{\infty }$
and
$\tilde{H}^{\infty }$
in (2.68) with the corresponding first-order Taylor expansions in
${\it\epsilon}$
,
$\tilde{{\it\vartheta}}$
and
$\tilde{H}$
, where
and the associated equations of motion are
How did this modified Lagrangian procedure succeed in preserving the correct phase space? The answer is that by implementing approximations at the level of the system phase-space Lagrangian it is impossible for the phase space of all-orders two-oscillator drift kinetics to be modified (modulo non-perturbative modifications of the phase-space sheet structure). As long as the
$1$
-form appearing in the phase-space action has a non-degenerate exterior derivative, the Euler–Lagrange equations that follow from the phase-space action principle are guaranteed to define a first-order ordinary differential equation (ODE) on the space where the
$1$
-form is defined. This non-degeneracy condition is morally guaranteed by the fact that the transformation between the particle coordinates and the guiding centre coordinates is near-identity.
In what sense is renormalized two-oscillator drift kinetics a ‘renormalized’ theory? While I do not believe the renormalization group is playing any role here, the procedure described in this subsection bears a strong resemblance to the procedure used to extract sensible results from perturbative quantum field theories. I began with a system with a nonsensical phase space, namely two-oscillator drift kinetics. In a loose sense, this system contained an unphysical infinity. To eliminate the absurd features of this model, I regularized it by passing to all-orders two-oscillator drift kinetics. This step can be thought of as inserting a ‘cutoff’; I inserted higher-order
${\it\epsilon}$
-dependent terms into the two-oscillator drift kinetic Lagrangian that guaranteed the dimension of phase space was sensible. Finally, I devised a method to vary the cutoff (i.e. change which higher-order terms were in the theory) that would not alter the value of the dimension of phase space. This step is analogous to tailoring the values of the coupling constants in a perturbative quantum field theory (Wentzel Reference Wentzel1949) in order to render the propagator cutoff-independent.
3 Conventional Lagrangian electrostatic drift kinetics and its flaws
In passing from two-oscillator kinetics to two-oscillator drift kinetics, the size of phase space was increased for unphysical reasons. In this section I will argue that the same phenomenon occurs in a variant of first-order high-flow electrostatic drift kinetics that I will refer to as MSST drift kinetics. MSST drift kinetics is defined by the system Lagrangian
where the guiding centre phase-space Lagrangian
$\ell _{s}$
is the one given in equation (45) of Miyato et al. (Reference Miyato, Scott, Strintzi and Tokuda2009),
with
and
$K_{s}(\boldsymbol{E},\dot{\boldsymbol{E}})=K_{os}(\boldsymbol{E})+K_{1s}(\boldsymbol{E},\dot{\boldsymbol{E}})$
is given by
$$\begin{eqnarray}\displaystyle K_{1s}(\boldsymbol{E},\dot{\boldsymbol{E}}) & = & \displaystyle \frac{1}{2}\frac{m_{s}}{q_{s}}\left({\it\mu}+\frac{m_{s}u_{E}^{2}}{2B}\right)\hat{b}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}\times \boldsymbol{u}_{E}\nonumber\\ \displaystyle & & \displaystyle -\,\frac{m_{s}v_{\Vert }}{2{\it\omega}_{cs}}\boldsymbol{u}_{E}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}\times \boldsymbol{u}_{E}+\frac{7}{6}\frac{m_{s}}{q_{s}}{\it\mu}(\hat{b}\times \boldsymbol{u}_{E})\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}\text{ln}\,B\nonumber\\ \displaystyle & & \displaystyle +\,\frac{m_{s}u_{E}^{2}v_{\Vert }}{{\it\omega}_{cs}}{\it\tau}+\frac{m_{s}v_{\Vert }^{2}}{{\it\omega}_{cs}}\hat{b}\times \boldsymbol{u}_{E}\boldsymbol{\cdot }\boldsymbol{{\it\kappa}}-\frac{q_{s}}{2{\it\omega}_{cs}^{2}}\boldsymbol{u}_{E}\boldsymbol{\cdot }\dot{\boldsymbol{E}}.\end{eqnarray}$$
The equations of motion corresponding to this system Lagrangian may be obtained by varying
${\it\varphi}$
,
$F$
and
$V$
in the action integral
$S=\int _{t_{1}}^{t_{2}}L\,\text{d}t$
subject to the constraints
where
${\mathcal{K}}={\mathcal{K}}(F,\boldsymbol{E},\dot{\boldsymbol{E}})$
is given by
where
$\{\cdot ,\cdot \}^{gc}$
denotes the guiding centre Poisson bracket associated with the guiding centre phase-space Lagrangian
$\ell _{s}$
. Explicitly,
The dynamical system specified by (3.8) and (3.14) is meant to approximate the Vlasov–Poisson system in a strong background magnetic field when the time and length scales of the electrostatic potential are long compared with the gyrofrequency and gyroradius, respectively. In particular, because the electrostatic potential in the Vlasov–Poisson system is a functional of the distribution function, (3.8) and (3.14) are supposed to approximate a system of equations whose phase space is the space of
$F$
’s. Moreover, I will argue in the next section that when high-flow electrostatic gyrokinetics is carried to all orders in magnetic non-uniformity, the phase space is indeed the space of
$F$
’s. It is therefore reasonable to hope that (3.8) and (3.14) are equivalent to a first-order ODE on the space of
$F$
’s.
Unfortunately this hope is ill-founded. I will explain why in the context of linearized MSST drift kinetics. For simplicity’s sake, let the background magnetic field be uniform and
$z$
-directed. The equilibrium I will linearize about satisfies
${\it\varphi}=\dot{{\it\varphi}}=0$
and
where
$T$
is the equilibrium temperature and
$N_{os}$
is the equilibrium number density. This type of equilibrium will exist if and only if
$$\begin{eqnarray}\displaystyle & \displaystyle -{\it\epsilon}_{o}{\it\Delta}_{\bot }{\it\delta}{\it\varphi}=\mathop{\sum }_{s}q_{s}{\it\delta}N_{s}+{\rm\nabla}_{\bot }^{2}\left(\mathop{\sum }_{s}\frac{{\it\delta}M_{s}}{2{\it\omega}_{cs}}\right) & \displaystyle \nonumber\\ \displaystyle & \displaystyle \hspace{8.0pt}+\,{\it\epsilon}_{o}\boldsymbol{{\rm\nabla}}{\it\tau}_{o}\times \hat{b}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}{\it\delta}\dot{{\it\varphi}} & \displaystyle\end{eqnarray}$$
$$\begin{eqnarray}\displaystyle & \displaystyle {\it\delta}{\dot{F}}_{s}+v_{\Vert }\hat{b}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}{\it\delta}F_{s}+\frac{\hat{b}}{q_{s}B}\times \boldsymbol{{\rm\nabla}}\left(q_{s}{\it\delta}{\it\varphi}+\frac{{\it\mu}{\rm\nabla}_{\bot }^{2}{\it\delta}{\it\varphi}}{2{\it\omega}_{cs}}\right)\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}F_{so} & \displaystyle \nonumber\\ \displaystyle & \displaystyle -\frac{\hat{b}}{m_{s}}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}\left(q_{s}{\it\delta}{\it\varphi}+\frac{{\it\mu}{\rm\nabla}_{\bot }^{2}{\it\delta}{\it\varphi}}{2{\it\omega}_{cs}}\right)\frac{\partial F_{os}}{\partial v_{\Vert }}=0, & \displaystyle\end{eqnarray}$$
and
Instead of analysing these equations in their full generality, I will restrict attention to proton–electron plasmas with equilibrium density given by
that are uniform along the
$z$
-axis. In this special case, the linearized MSST equations can be reduced to a system of equations involving only the perturbed electrostatic potential,
where
Upon noting that
${\it\alpha},{\it\beta}=O({\it\epsilon})$
and that
${\it\gamma}=O({\it\epsilon}^{3})$
, it becomes clear that when
$k_{x}\ll k_{y}$
the two branches of this dispersion relation are given to leading order in
${\it\epsilon}$
as
$$\begin{eqnarray}\displaystyle & \displaystyle {\it\omega}_{d}\approx -\frac{v_{\ast }k_{y}}{1+\displaystyle \frac{x}{L}+\displaystyle \frac{v_{Ao}^{2}}{c^{2}}} & \displaystyle\end{eqnarray}$$
4 Renormalized MSST drift kinetics
4.1 The all-orders phase-space Lagrangian
The all-orders version of MSST drift kinetics is derived as follows. The starting point is the magnetized Vlasov–Poisson system expressed in a special coordinate system on single-particle phase space,
Next, a near-identity field-dependent phase-space coordinate transformation,
${\it\Phi}_{s}(j\boldsymbol{E}):P\rightarrow P$
, is identified that decouples the rapid gyromotion from the slower drift motion. Here
$j\boldsymbol{E}=(\boldsymbol{E},\partial _{t}\boldsymbol{E},\partial _{t}^{2}\boldsymbol{E},\ldots )$
is an infinite sequence of vector fields, and
$P$
is the six-dimensional position-velocity phase space. There are many possible ways to choose this coordinate transformation, and MSST drift kinetics is defined by the particular choice described in Miyato et al. (Reference Miyato, Scott, Strintzi and Tokuda2009).
Using this coordinate transformation, the guiding centre distribution function
$F$
is defined as
where
$f_{s}$
is the particle distribution function, and the subscripted
$\ast$
denotes the pushforward. Assuming that
$\boldsymbol{E}$
and
$f_{s}$
satisfy the magnetized Vlasov–Poisson equations, the right-hand-side of (4.10) can be expressed entirely in terms of
$f$
because
$j\boldsymbol{E}=(j\boldsymbol{{\mathcal{E}}})(f)=(\boldsymbol{{\mathcal{E}}}(f),\boldsymbol{{\mathcal{E}}}^{(1)}(f),\boldsymbol{{\mathcal{E}}}^{(2)}(f),\ldots )$
, where
Because
${\it\Phi}$
is near-identity,
${\mathcal{F}}_{s}^{-1}(f)\approx f_{s}$
. This implies that
${\mathcal{F}}^{-1}$
has a unique perturbatively defined inverse
${\mathcal{F}}$
that satisfies
I will explain the procedure for obtaining an asymptotic expansion of
${\mathcal{F}}$
in the next subsection. Therefore,
A variational principle for all-orders MSST drift kinetics can be derived by transforming the following variational principle for the magnetized Vlasov–Poisson system into guiding centre coordinates. The Vlasov–Poisson Lagrangian is given by
where the single-particle phase-space Lagrangian is
the single-particle Hamiltonian is
the volume element
$\text{d}{\it\omega}=\text{d}^{3}\boldsymbol{x}\,\text{d}^{3}\boldsymbol{w}$
, and
$U$
is the Eulerian phase-space fluid velocity. The equations of motion corresponding to this system Lagrangian may be obtained by varying
${\it\varphi}$
,
$f$
and
$U$
in the action integral
$S=\int _{t_{1}}^{t_{2}}L\,\text{d}t$
subject to the constraints
Using the MSST prescription for choosing
${\it\Phi}$
, the transformed system Lagrangian is given by
where the all-orders guiding centre phase-space Lagrangian is given by
and the all-orders guiding centre Hamiltonian is of the form
where
$K_{s}^{\infty }=K_{os}+K_{1s}+K_{2s}+\cdots \,$
and
$K_{os},K_{1s}$
are given in (3.4) and (3.5). Note that the MSST method for finding the guiding centre transformation
${\it\Phi}$
produces a guiding centre phase-space Lagrangian with a simple time-independent ‘symplectic part’. The symplectic part of
$\ell _{s}^{\infty }$
,
$\ell _{s}^{symp}$
, is
$$\begin{eqnarray}\displaystyle \ell _{s}^{symp}(z,{\dot{z}}) & = & \displaystyle \ell _{s}^{\infty }+h_{s}^{\infty }\nonumber\\ \displaystyle & = & \displaystyle \left(q_{s}\boldsymbol{A}+m_{s}v_{\Vert }\hat{b}-\frac{m_{s}}{q_{s}}{\it\mu}\boldsymbol{W}\right)\boldsymbol{\cdot }\dot{\boldsymbol{X}}+\frac{q_{s}}{m_{s}}{\it\mu}\dot{{\it\zeta}},\end{eqnarray}$$
and achieving this time-independence was one of the principal goals of Miyato et al. (Reference Miyato, Scott, Strintzi and Tokuda2009). The variational principle associated with
$L^{\infty }$
is very similar to the one introduced earlier for first-order MSST drift kinetics. The action
$S^{\infty }=\int _{t_{1}}^{t_{2}}L^{\infty }\,\text{d}t$
is varied subject to the constraints given by
Using this variational principle for all-orders MSST drift kinetics, the all-orders system phase-space Lagrangian can finally be derived using the method described in § 2. The dressed Lagrange
$1$
-form and the dressed Hamiltonian must each be found.
The first step toward finding the dressed Lagrange
$1$
-form
$\tilde{{\it\vartheta}}^{\infty }$
is to identify the bare Lagrange
$1$
-form
${\it\vartheta}^{\infty }$
. This is done by examining the endpoint contributions to free-endpoint variations of
$S^{\infty }$
. A straightforward calculation shows that the first free-endpoint variation of
$S^{\infty }$
about a solution of all-orders MSST drift kinetics is given by
where the bare Lagrange
$1$
-form
${\it\vartheta}^{\infty }$
is given by
$$\begin{eqnarray}\displaystyle {\it\vartheta}^{\infty }[{\it\xi},{\it\delta}j\boldsymbol{E}] & = & \displaystyle v\mathop{\sum }_{s}\int \ell _{s}^{symp}(z,{\it\xi}_{s}(z))\,F_{s}\,\text{d}{\it\Omega}_{s}\nonumber\\ \displaystyle & & \displaystyle -\,\mathop{\sum }_{k=1}^{\infty }\mathop{\sum }_{j=1}^{k}\int ({\it\delta}\partial _{t}^{k-j}\boldsymbol{E})\,\boldsymbol{\cdot }\left((-\partial _{t})^{j-1}\frac{{\it\delta}{\mathcal{K}}^{\infty }}{{\it\delta}\partial _{t}^{k}\boldsymbol{E}}\right)\,\text{d}^{3}\boldsymbol{X},\end{eqnarray}$$
with
${\mathcal{K}}^{\infty }(F,j\boldsymbol{E})=\sum _{s}\int K_{s}^{\infty }(j\boldsymbol{E})\,F_{s}\,\text{d}{\it\Omega}_{s}$
. In deriving this expression, the all-orders Euler–Lagrange equations,
Similarly, the variations of the time derivatives of
$\boldsymbol{E}$
must be expressed in terms of
${\it\xi}$
using
which gives
$$\begin{eqnarray}\displaystyle {\it\delta}\partial _{t}^{k-j}\boldsymbol{E} & = & \displaystyle -D\tilde{\boldsymbol{{\mathcal{E}}}}^{(k-j)}[{\mathcal{J}}^{-1}\text{div}({\mathcal{J}}F{\it\xi})]\nonumber\\ \displaystyle & = & \displaystyle -\mathop{\sum }_{s}D_{s}\tilde{\boldsymbol{{\mathcal{E}}}}^{(k-j)}[{\mathcal{J}}_{s}^{-1}\text{div}({\mathcal{J}}_{s}F_{s}{\it\xi}_{s})].\end{eqnarray}$$
Here
$D_{s}$
denotes a partial Fréchet derivative with respect to the species-
$s$
distribution function. When this dressing procedure is complete, the all-orders dressed Lagrange
$1$
-form can be expressed as
where
and the function
${\it\alpha}_{s}^{\infty }(F):P\rightarrow \mathbb{R}$
is given by
Here,
$(-\partial _{t})^{j-1}({\it\delta}{\mathcal{K}}/{\it\delta}\partial _{t}^{k}\boldsymbol{E})$
must be expressed in terms of
$F$
by evaluating the functional derivative, applying the time derivative, and then using (4.36); and the adjoint operation, which is indicated by
$\cdot ^{\dagger }$
, is defined by the following identity,
In terms of the dressed Lagrange
$1$
-form, the dressed Hamiltonian is
where
$\tilde{V}^{\infty }$
and
$\tilde{L}^{\infty }$
are given by dressing equations (4.33) and (4.25) using (4.36). More explicitly,
$\tilde{{\mathcal{H}}}^{\infty }$
is given by
$$\begin{eqnarray}\displaystyle \tilde{{\mathcal{H}}}(F) & = & \displaystyle \mathop{\sum }_{s}\int (K_{s}^{\infty }(j\tilde{\boldsymbol{{\mathcal{E}}}}(F))+\tilde{V}_{s}^{\infty i}\partial _{z^{i}}{\it\alpha}_{s}^{\infty }(F))\,F_{s}\,\text{d}{\it\Omega}_{s}\nonumber\\ \displaystyle & & \displaystyle +\,\frac{1}{2}\int {\it\epsilon}_{o}\tilde{\boldsymbol{{\mathcal{E}}}}\boldsymbol{\cdot }\tilde{\boldsymbol{{\mathcal{E}}}}\,\text{d}^{3}\boldsymbol{X}-\int \left(\mathop{\sum }_{k=0}^{\infty }(-\partial _{t})^{k}\frac{{\it\delta}{\mathcal{K}}^{\infty }}{{\it\delta}\partial _{t}^{k}\boldsymbol{E}}\right)\boldsymbol{\cdot }\tilde{\boldsymbol{{\mathcal{E}}}}\,\text{d}^{3}\boldsymbol{X}.\end{eqnarray}$$
The all-orders system phase-space Lagrangian is therefore
When varying this Lagrangian, the now-familiar constraints,
4.2 The truncated system phase-space Lagrangian
As it has been presented so far, the all-orders system phase-space Lagrangian is a purely formal result. However, I will now show that it can be exploited to build an attractive alternative theory to conventional first-order MSST drift kinetics. This alternative theory, which I will refer to as renormalized first-order MSST drift kinetics, will have the following desirable features: (1) a system phase space with the correct size, (2) first-order (in magnetic non-uniformity) accuracy, and (3) a Lagrangian formulation.
The procedure I will use to derive renormalized MSST drift kinetics mirrors the one I used earlier to derive renormalized two-oscillator drift kinetics. First the all-orders system phase-space Lagrangian must be expanded in powers of
${\it\epsilon}={\it\rho}/L$
, which is formally equivalent to expanding in powers of the inverse elementary charge,
$|e|$
(note that
$q_{s}=Z_{s}|e|$
, where
$Z_{s}$
is some integer). For the sake of achieving first-order accuracy, both the dressed Lagrange
$1$
-form and the dressed Hamiltonian will be expanded up to first order if
$|e|^{-1}$
.
In order to calculate
$\tilde{{\it\vartheta}}$
and
$\tilde{{\mathcal{H}}}$
with the desired level of accuracy, it is necessary to have explicit expression for some parts of the operator
$j\tilde{\boldsymbol{{\mathcal{E}}}}(F)$
. To be precise, if
$\tilde{\boldsymbol{{\mathcal{E}}}}$
and
$\tilde{\boldsymbol{{\mathcal{E}}}}^{(1)}$
are expanded in powers of
${\it\epsilon}$
as
where the dyad
$\tilde{\boldsymbol{{\it\epsilon}}}$
is given by
Because
$\boldsymbol{{\rm\nabla}}\times \tilde{\boldsymbol{{\mathcal{E}}}}_{o}=0$
, this equation uniquely determines
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}$
. Indeed, if
where the negative-definite elliptic operator
${\it\Delta}+{\it\Delta}_{\bot }$
is given by
$({\it\Delta}+{\it\Delta}_{\bot }){\it\varphi}=\boldsymbol{{\rm\nabla}}\boldsymbol{\cdot }(\tilde{\boldsymbol{{\it\epsilon}}}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}{\it\varphi})$
, (4.50) prescribes
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}$
as
Note that because the operator
$G_{\bot }$
depends on
$F$
through the
$N_{s}$
in
${\it\Delta}_{\bot }$
,
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}$
is a nonlinear functional of
$F$
. Similarly, a dominant balance of the time derivative of (4.50) gives
where
$$\begin{eqnarray}\displaystyle \text{Im}(F) & = & \displaystyle \mathop{\sum }_{s}\left(\vphantom{\frac{m_{s}}{B^{2}}}q_{s}\langle \dot{\boldsymbol{X}}_{os}+\dot{\boldsymbol{X}}_{1s}\rangle _{s}N_{s}\right.\nonumber\\ \displaystyle & & \displaystyle \left.-\,\frac{m_{s}}{B^{2}}\boldsymbol{{\rm\nabla}}\boldsymbol{\cdot }(\langle \dot{\boldsymbol{X}}_{os}\rangle _{s}N_{s})(1-\hat{b}\hat{b})\boldsymbol{\cdot }\tilde{\boldsymbol{{\mathcal{E}}}}_{o}\right);\end{eqnarray}$$
the angle brackets denote velocity-space averages,
$\langle \boldsymbol{Q}\rangle _{s}=N_{s}^{-1}\int \boldsymbol{Q}F_{s}{\mathcal{J}}_{s}\,\text{d}v_{\Vert }\,\text{d}{\it\mu}\,\text{d}{\it\zeta}$
; and
$$\begin{eqnarray}\displaystyle & \displaystyle \dot{\boldsymbol{X}}_{1s}=\left(\frac{u_{Eo}^{2}}{{\it\omega}_{cs}}{\it\tau}+\frac{2v_{\Vert }}{{\it\omega}_{cs}}\hat{b}\times \boldsymbol{u}_{Eo}\boldsymbol{\cdot }\boldsymbol{{\it\kappa}}-\frac{\boldsymbol{u}_{Eo}\boldsymbol{\cdot }\boldsymbol{{\rm\nabla}}\times \boldsymbol{u}_{Eo}}{2\,{\it\omega}_{cs}}\right)\hat{b} & \displaystyle \nonumber\\ \displaystyle & \displaystyle +\,\frac{{\it\mu}\,\hat{b}\times \boldsymbol{{\rm\nabla}}B}{q_{s}B}+\frac{v_{\Vert }^{2}\hat{b}\times \boldsymbol{{\it\kappa}}}{{\it\omega}_{cs}}-\frac{\hat{b}\times \boldsymbol{{\rm\nabla}}u_{Eo}^{2}}{2\,{\it\omega}_{cs}}, & \displaystyle\end{eqnarray}$$
where
$$\begin{eqnarray}\displaystyle \unicode[STIX]{x1D6D1}_{1}(F) & = & \displaystyle -\frac{{\it\delta}{\mathcal{K}}_{1}}{{\it\delta}\boldsymbol{E}}+\partial _{t}\frac{{\it\delta}{\mathcal{K}}_{1}}{{\it\delta}\dot{\boldsymbol{E}}}\nonumber\\ \displaystyle & = & \displaystyle -\mathop{\sum }_{s}\left(\frac{q_{s}N_{s}}{2{\it\omega}_{cs}^{2}}\dot{\boldsymbol{u}}_{Eo}-\frac{q_{s}}{2{\it\omega}_{cs}^{2}}\boldsymbol{{\rm\nabla}}\boldsymbol{\cdot }(\langle \boldsymbol{X}_{os}\rangle _{s}N_{s})\boldsymbol{u}_{Eo}\right)-\frac{{\it\delta}{\mathcal{K}}_{1}}{{\it\delta}\boldsymbol{E}}(\tilde{\boldsymbol{{\mathcal{E}}}}_{o},\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{(1)}),\end{eqnarray}$$
Because doing so will lead to considerable simplifications of the renormalized drift kinetic theory later on, it is also useful to introduce the ‘second-order electric field’
$\tilde{\boldsymbol{{\mathcal{E}}}}_{2}(F)$
, which is specified by the equation
where
and
With these expressions for
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}$
,
$\tilde{\boldsymbol{{\mathcal{E}}}}_{1}$
and
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{(1)}$
in hand, the truncated system phase-space Lagrangian can be found. The truncated dressed Lagrange
$1$
-form is given by
where
the function
${\it\alpha}_{s}$
is given by
$$\begin{eqnarray}\displaystyle {\it\alpha}_{s} & = & \displaystyle -D_{s}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{\dagger }\frac{{\it\delta}{\mathcal{K}}}{{\it\delta}\dot{\boldsymbol{E}}}\nonumber\\ \displaystyle & = & \displaystyle D_{s}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{\dagger }\left[\mathop{\sum }_{\bar{s}}\frac{m_{s}N_{s}}{2B^{2}{\it\omega}_{cs}}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}\times \hat{b}\right],\end{eqnarray}$$
and
${\mathcal{K}}={\mathcal{K}}_{o}+{\mathcal{K}}_{1}=\sum _{s}\int (K_{os}+K_{1s})F_{s}\,\text{d}{\it\Omega}_{s}$
. The truncated dressed Hamiltonian is given by
where
$\tilde{\boldsymbol{{\mathcal{E}}}}=\tilde{\boldsymbol{{\mathcal{E}}}}_{o}+\tilde{\boldsymbol{{\mathcal{E}}}}_{1}+\tilde{\boldsymbol{{\mathcal{E}}}}_{2}$
;
Note that
$\boldsymbol{{\rm\nabla}}\boldsymbol{\cdot }({\it\epsilon}_{o}\tilde{\boldsymbol{{\mathcal{E}}}}+\tilde{\boldsymbol{P}})={\it\rho}(F)$
, which can be carefully applied to show that the functional derivative of
$\tilde{{\mathcal{H}}}$
is given by
where
$H_{s}=q_{s}\tilde{{\it\varphi}}+\tilde{K}_{s}$
,
$-\boldsymbol{{\rm\nabla}}\tilde{{\it\varphi}}=\tilde{\boldsymbol{{\mathcal{E}}}}$
, and
${\it\eta}_{s\bar{s}}^{\ast }=D_{s}{\it\alpha}_{\bar{s}}^{\ast \dagger }-D_{\bar{s}}{\it\alpha}_{s}^{\ast }$
. The truncated system phase-space Lagrangian is therefore
Upon applying the constrained variations
where
$$\begin{eqnarray}\displaystyle {\it\varepsilon}_{s} & = & \displaystyle \mathop{\sum }_{\bar{s}}(D_{s}{\it\alpha}_{\bar{s}}^{\dagger }-D_{\bar{s}}{\it\alpha}_{s})[{\mathcal{J}}_{\bar{s}}^{-1}\text{div}({\mathcal{J}}_{\bar{s}}V_{\bar{s}}F_{\bar{s}})]\nonumber\\ \displaystyle & \equiv & \displaystyle \mathop{\sum }_{\bar{s}}{\it\eta}_{s\bar{s}}[{\mathcal{J}}_{\bar{s}}^{-1}\text{div}({\mathcal{J}}_{\bar{s}}V_{\bar{s}}F_{\bar{s}})].\end{eqnarray}$$
Note that because
${\it\varepsilon}_{s}$
depends on
$V$
, (4.77) is an implicit equation for
$V$
. In order to solve for
$V$
, first note that
$$\begin{eqnarray}\displaystyle {\it\varepsilon}_{s} & = & \displaystyle \mathop{\sum }_{\bar{s}}{\it\eta}_{s\bar{s}}[\{F_{\bar{s}},{\it\varepsilon}_{\bar{s}}\}_{\bar{s}}^{gc}+\{F_{\bar{s}},{\it\delta}\tilde{{\mathcal{H}}}/{\it\delta}F_{\bar{s}}\}_{\bar{s}}^{gc}]\nonumber\\ \displaystyle & \equiv & \displaystyle \mathop{\sum }_{\bar{s}}{\it\chi}_{s\bar{s}}[{\it\varepsilon}_{\bar{s}}+{\it\delta}\tilde{{\mathcal{H}}}/{\it\delta}F_{\bar{s}}].\end{eqnarray}$$
Therefore,
where the matrix of operators
${\mathcal{D}}$
is given by
In appendix B, I argue that
${\mathcal{D}}$
should be invertible as a mapping from multi-species phase-space functions into itself when
${\it\epsilon}$
is small. Thus,
which, in conjunction with (4.77), determines the Eulerian phase-space fluid velocity
$V$
explicitly,
$$\begin{eqnarray}\displaystyle V^{i} & = & \displaystyle \left\{z^{i},{\mathcal{D}}^{-1}{\it\chi}\left[\frac{{\it\delta}\tilde{{\mathcal{H}}}}{{\it\delta}F}\right]+\frac{{\it\delta}\tilde{{\mathcal{H}}}}{{\it\delta}F}\right\}^{gc}\nonumber\\ \displaystyle & = & \displaystyle \left\{z^{i},{\mathcal{D}}^{-1}\frac{{\it\delta}\tilde{{\mathcal{H}}}}{{\it\delta}F}\right\}^{gc}.\end{eqnarray}$$
The time evolution equation for
$F$
in renormalized MSST drift kinetics is therefore
which is manifestly a first-order ODE on
$F$
-space. Recall that the functional derivative
${\it\delta}\tilde{{\mathcal{H}}}/{\it\delta}F$
is given in (4.73).
I will conclude this section by analysing the linearization of renormalized MSST drift kinetics about the same type of slab equilibria used in § 3. Again I will assume the background magnetic field is uniform and
$z$
-directed. It is straightforward to show that when
$F_{s}$
is given by (3.15) with
$N_{os}=n(1+x/L)$
,
$\tilde{\boldsymbol{{\mathcal{E}}}}_{o}=\tilde{\boldsymbol{{\mathcal{E}}}}_{1}=\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{(1)}=0$
, the functional derivatives
${\it\delta}\tilde{{\mathcal{H}}}/{\it\delta}F_{s}=(1/2)m_{s}v_{\Vert }^{2}+{\it\mu}B$
, and
${\it\chi}_{s\bar{s}}[{\it\delta}\tilde{{\mathcal{H}}}/{\it\delta}F_{\bar{s}}]=0$
. Therefore the equilibria from § 3 are indeed equilibria of renormalized MSST drift kinetics. When renormalized MSST drift kinetics is linearized about this type of equilibrium, the dynamical equations governing
$z$
-independent fluctuations reduce to the following pair of linear integro-differential equations,
$$\begin{eqnarray}\displaystyle & \displaystyle {\it\delta}{\it\varphi}_{A}={\it\delta}{\it\varphi}_{o}+{\it\delta}{\it\varphi}_{1}+\frac{{\it\alpha}{\it\beta}}{2}\frac{G_{\bot }}{{\it\epsilon}_{o}}\partial _{y}^{2}{\rm\nabla}_{\bot }^{2}\frac{G_{\bot }}{{\it\epsilon}_{o}}({\it\delta}{\it\varphi}_{1}+{\it\delta}{\it\varphi}_{2}) & \displaystyle \nonumber\\ \displaystyle & \displaystyle \hspace{20.00003pt}-\,\frac{{\it\alpha}{\it\beta}}{2}\left(\frac{G_{\bot }}{{\it\epsilon}_{o}}\right)^{2}{\rm\nabla}_{\bot }^{2}\partial _{y}^{2}({\it\delta}{\it\varphi}_{o}+{\it\delta}{\it\varphi}_{1}-{\it\delta}{\it\varphi}_{2}) & \displaystyle\end{eqnarray}$$
$$\begin{eqnarray}\displaystyle & \displaystyle {\it\omega}_{d}=-\frac{\displaystyle v_{\ast }k_{y}}{\displaystyle 1+\frac{x}{L}+\frac{v_{Ao}^{2}}{c^{2}}}+O({\it\epsilon}^{2}) & \displaystyle\end{eqnarray}$$
5 Discussion
One approach to dealing with higher-order time derivatives of the electrostatic potential that appear in the equations defining higher-order drift kinetic and gyrokinetic theories would be to first neglect the terms involving the time derivatives, solve for the potential, then use this approximate potential to evaluate the neglected time derivative. Such a manipulation, which can be conceptualized as identifying the so-called slow manifold (Jones Reference Jones1995), is not obviously consistent with energy and momentum conservation. One way of interpreting the results of this paper is that they show how this ‘bootstrapping’ technique for dealing with higher time derivatives of the potential can be modified to be fully consistent with Lagrangian mechanics, and therefore energy and momentum conservation. Another approach to dealing with extra time derivatives of the electromagnetic field has been developed in the context of a drift kinetic formalism that makes use of neither near-identity phase-space transformations nor Lagrangian mechanics (Ramos Reference Ramos2008). There the time derivatives of the electromagnetic field are eliminated through the use of exact momentum conservation relations. In the end, the technique in Ramos (Reference Ramos2008) produces a hybrid fluid-drift kinetic system with exact conservation laws for energy and momentum, and without an apparent variational principle. It would be interesting to learn whether or not this hybrid system could be cast in the framework of Hamiltonian (Tronci Reference Tronci2010) or Lagrangian (Holm & Tronci Reference Holm and Tronci2012) hybrid models.
While I have been stressing the fact that renormalized MSST drift kinetics satisfies a variational principle, renormalized MSST drift kinetics is also an infinite-dimensional Hamiltonian system. The Hamiltonian functional is given by
$\tilde{{\mathcal{H}}}$
and the field-theoretic Poisson bracket is given by
$$\begin{eqnarray}\displaystyle [{\mathcal{F}},{\mathcal{G}}] & = & \displaystyle \int \left\{{\mathcal{D}}^{-1}\frac{{\it\delta}{\mathcal{F}}}{{\it\delta}F},{\mathcal{D}}^{-1}\frac{{\it\delta}{\mathcal{G}}}{{\it\delta}F}\right\}^{gc}F\,\text{d}{\it\Omega}\nonumber\\ \displaystyle & & \displaystyle +\,\int {\it\eta}\left[\left\{F,{\mathcal{D}}^{-1}\frac{{\it\delta}{\mathcal{F}}}{{\it\delta}F}\right\}^{gc}\right]\left\{F,{\mathcal{D}}^{-1}\frac{{\it\delta}{\mathcal{G}}}{{\it\delta}F}\right\}^{gc}\,\text{d}{\it\Omega},\end{eqnarray}$$
where
${\mathcal{F}},{\mathcal{G}}$
are arbitrary functions of the multi-species distribution function, and the skew-symmetric operator
${\it\eta}$
is defined in (4.78). This Poisson bracket can be deduced directly from the phase-space Lagrangian for renormalized MSST drift kinetics following the example set in Burby (Reference Burby2015), and therefore automatically satisfies the Jacobi identity. This means that, aside from eliminating unphysical rapidly varying modes, an additional benefit of employing renormalized MSST drift kinetics instead of conventional MSST drift kinetics is that the dynamically accessible stability method (Morrison & Pfirsch Reference Morrison and Pfirsch1989; Burby et al.
Reference Burby, Brizard, Morrison and Qin2015) can be applied to the renormalized theory in order to assess the stability of equilibria. In contrast, conventional MSST drift kinetics has no known Hamiltonian structure. Note that this is consistent with the existence of a Hamiltonian formulation for the low-order electrostatic gyrokinetic system given in Squire et al. (Reference Squire, Qin, Tang and Chandre2013).
The appearance of higher time derivatives of
${\it\varphi}$
in MSST drift kinetics can be traced back to the appearance of higher time derivatives in the conventional drift kinetic system Lagrangian. In the theory of Lagrangian systems with non-degenerate Lagrangians, higher time derivatives in the Lagrangian necessarily indicate the presence of the so-called Ostrogradsky instability (Ostrogradsky Reference Ostrogradsky1850; Motohashi & Suyama Reference Motohashi and Suyama2015). In light of this well-known phenomenon, it is perhaps not entirely surprising that there are unphysical modes present in MSST drift kinetics. However, because the MSST system Lagrangian is degenerate, it is not completely justified to invoke Ostrogradsky’s theorem as an a priori explanation of the unphysical modes in MSST drift kinetics. It would nevertheless be interesting to attempt to extend Ostrogradsky’s theorem to allow for Lagrangians with the particular type of degeneracy inherent in the MSST system Lagrangian.
Looking ahead, two important extensions of the work presented here are (1) incorporating electromagnetic effects into the renormalization procedure, and (2) identifying a collision operator with exact conservation properties for renormalized MSST drift kinetics. The second task may prove to be especially challenging because it seems likely that, due to the use of the ‘bootstrapping’ technique, collisional renormalized MSST drift kinetics will contain the collision operator in both the kinetic equation and the drift kinetic Poisson equation. Nevertheless, it would be interesting to know if results akin to those given in Burby & Brizard (Reference Burby and Brizard2015) exist for renormalized MSST drift kinetics.
Finally, it is worth remarking on the relevance of the methods of this paper to gyrokinetic modelling in the tokamak edge. Due to the particular orderings relevant in the edge (Scott Reference Scott2016), the time derivatives that appear in the gyrocentre Hamiltonian are likely to be too small to be dynamically relevant. Therefore, the results in this paper are unlikely to be important to gyrokinetic modelling of the edge.
Acknowledgements
I would like to acknowledge helpful discussions with I. Abel and the magneto-fluid dynamics group at the Courant Institute. This work was supported by the US Department of Energy, Office of Science, Fusion Energy Sciences under award no. DE-FG02-86ER53223.
Appendix A. Why does ‘dressing’ work?
At two points in the main text I applied a dressing procedure to derive a phase-space Lagrangian for a Lagrangian system. The purpose of this appendix is to give a precise definition of the term ‘phase space Lagrangian,’ and provide a rigorous justification for using the ‘dressing’ procedure to find a Lagrangian system’s phase-space Lagrangian. For the sake of making the discussion accessible, I will strive to convey these general ideas by way of a specific example, namely all-orders two-oscillator drift kinetics. For a similar discussion in the context of variational kinetic theories, see Burby (Reference Burby2015). For a discussion of phase-space Lagrangians in the context of magnetic field line flow, see Cary & Littlejohn (Reference Cary and Littlejohn1983).
Suppose
${\mathcal{P}}$
is a linear space with coordinates
$z^{i}$
and that
$X$
is a vector field on
${\mathcal{P}}$
. The equation
${\dot{z}}=X(z)$
, where
$z\in {\mathcal{P}}$
, specifies an autonomous system on
${\mathcal{P}}$
that will be referred to as
$X$
. The phase space for the system
$X$
is the space
${\mathcal{P}}$
.
$X$
admits a phase-space Lagrangian if there is a 1-form on
${\mathcal{P}}$
,
${\it\vartheta}={\it\vartheta}_{i}\boldsymbol{d}z^{i}$
, and a function on
${\mathcal{P}}$
,
$h$
, such that
The 1-form
${\it\vartheta}$
and the function
$h$
are
$X$
’s Lagrange 1-form and Hamiltonian function, respectively. Given an
$X$
that admits a phase-space Lagrangian,
$X$
’s phase-space Lagrangian,
$\ell$
, is the function on
${\mathcal{P}}\times {\mathcal{P}}$
given by
The justification for this terminology is the following. Given an
$X$
that admits a phase-space Lagrangian,
$\ell$
, define the functional
$S:\mathfrak{P}(P)\rightarrow \mathbb{R}$
, where
$\mathfrak{P}(P)$
is the space of paths,
${\it\gamma}$
, through
${\mathcal{P}}$
parameterized by the fixed interval
$[t_{1},t_{2}]$
, using the formula
$$\begin{eqnarray}\displaystyle S({\it\gamma}) & = & \displaystyle \int _{{\it\gamma}}{\it\vartheta}-\int _{t_{1}}^{t_{2}}h({\it\gamma}(t))\,\text{d}t\nonumber\\ \displaystyle & = & \displaystyle \int _{t_{1}}^{t_{2}}\ell ({\it\gamma}(t),\dot{{\it\gamma}(t)})\,\text{d}t.\end{eqnarray}$$
If
${\it\gamma}$
is an integral curve of
$X$
, i.e.
$\dot{{\it\gamma}}(t)=X({\it\gamma}(t))$
for each
$t\in [t_{1},t_{2}]$
, then the first fixed-endpoint variation of
$S$
is zero at
${\it\gamma}$
. Thus, the autonomous system
$X$
satisfies a variational principle, and
$\ell$
serves as the corresponding Lagrangian function. The modifier ‘phase space’ in ‘phase-space Lagrangian’ corresponds to the fact that the functional
$S$
takes as its argument a path in phase space; the most familiar variational principle, namely Hamilton’s principle, is phrased in terms of a functional whose argument is a path in configuration space.
A natural class of systems that admit a phase-space Lagrangian consists of all systems that satisfy variational principles. I will illustrate this point in the context of all-orders two-oscillator drift kinetics. In this case,
${\mathcal{P}}$
is
$(Q,P,{\it\varphi},\dot{{\it\varphi}})$
-space, and the vector field
$X$
is given by
where
$\bar{L}$
is given in (2.24). If the first fixed-endpoint variation of
$S_{o}$
vanishes at
$c=(Q,P,{\it\varphi})$
, then, as described in § 2,
${\it\gamma}=(Q,P,{\it\varphi},\dot{{\it\varphi}})$
is an integral curve of
$X$
. Conversely, if
${\it\gamma}=(Q,P,{\it\varphi},\dot{{\it\varphi}})$
is an integral curve of
$X$
, then the first fixed-endpoint variation of
$S_{o}$
vanishes at
$c=(Q,P,{\it\varphi})$
. Note that
$\bar{L}$
is not a phase-space Lagrangian, i.e. it is not of the form expressed in (A 2). Nevertheless,
$X$
does admit a phase-space Lagrangian. To see this, first let
$F_{t}:{\mathcal{P}}\rightarrow {\mathcal{P}}$
be the flow map of the vector field
$X$
;
$F_{t}$
is the unique one-parameter family of maps
${\mathcal{P}}\rightarrow {\mathcal{P}}$
that satisfies
$F_{0}(z)=z$
and
$\partial _{t}F_{t}(z)=X(F_{t}(z))$
for each
$z\in {\mathcal{P}}$
. Using
$F_{t}$
, it is possible to construct a mapping
$\text{sol}:{\mathcal{P}}\rightarrow \mathfrak{P}({\mathcal{P}})$
according to the formula
Note that
$\text{sol}(z)$
is the unique path through
${\mathcal{P}}$
that (1) is an integral curve of the vector field
$X$
and (2) passes through the point
$z$
at
$t=t_{1}$
. Because any path
${\it\gamma}=(Q,P,{\it\varphi},\dot{{\it\varphi}})$
through
${\mathcal{P}}$
determines a corresponding path,
${\rm\pi}({\it\gamma})=(Q,P,{\it\varphi}),$
through
${\mathcal{Q}}$
,
$\text{sol}$
and
$S_{o}$
can be used to construct the function on phase space
$\bar{S}=S_{o}\circ {\rm\pi}\circ \text{sol}:{\mathcal{P}}\rightarrow \mathbb{R}$
.
$\bar{S}$
may be thought of as the action
$S_{o}$
regarded as a function of initial conditions. The phase-space Lagrangian for all-orders two-oscillator drift kinetics can be derived by analysing the derivatives of
$\bar{S}$
with respect to
$z$
and
$t_{2}$
. (
$\bar{S}$
depends on
$t_{2}$
because the upper limit of the time integral in the definition of
$S_{o}$
is
$t_{2}$
.)
In order to calculate the derivatives of
$\bar{S}$
, it will be convenient to introduce the curves
${\it\gamma}_{{\it\epsilon}}=\text{sol}(z+{\it\epsilon}v)=(Q_{{\it\epsilon}},P_{{\it\epsilon}},{\it\varphi}_{{\it\epsilon}},\dot{{\it\varphi}}_{{\it\epsilon}})$
,
$c_{{\it\epsilon}}={\rm\pi}({\it\gamma}_{{\it\epsilon}})$
,
${\it\Gamma}_{{\it\epsilon}}$
, and
${\it\Upsilon}_{{\it\epsilon}},$
where
${\it\epsilon}$
is a small positive real number,
$v\in {\mathcal{P}}$
is an arbitrary four-component vector, and
The directional derivative of
$\bar{S}$
at
$z$
along
$v$
is given by
$$\begin{eqnarray}\displaystyle \boldsymbol{d}\bar{S}_{z}(v) & = & \displaystyle \left.\frac{\text{d}}{\text{d}{\it\epsilon}}\right|_{0}\bar{S}(z+{\it\epsilon}v)\nonumber\\ \displaystyle & = & \displaystyle \left.\frac{\text{d}}{\text{d}{\it\epsilon}}\right|_{0}S_{o}(c_{{\it\epsilon}}),\end{eqnarray}$$
which is equal to a certain free-endpoint variation of
$S_{o}$
at a curve (
$c=c_{0}$
) that satisfies the Euler–Lagrange equations. Applying integration by parts several times and making use of the fact that
$c_{0}$
satisfies the Euler–Lagrange equations gives
where
This expression can be simplified further by noting that, according to (A 12)–(A 17),
${\it\Upsilon}_{0}(t)=\boldsymbol{J}({\it\gamma}_{0}(t))$
and
${\it\delta}{\it\Upsilon}_{0}(t)=D\boldsymbol{J}_{{\it\gamma}_{0}(t)}[{\it\delta}{\it\gamma}(t)]$
, where
$\boldsymbol{J}$
maps phase space,
${\mathcal{P}}$
, into
$Z$
-space according to
$\boldsymbol{J}=(Q_{\boldsymbol{J}},P_{\boldsymbol{J}},{\it\varphi}_{\boldsymbol{J}},\dot{Q}_{\boldsymbol{J}},{\dot{P}}_{\boldsymbol{J}},\ddot{P}_{\boldsymbol{J}},\dot{{\it\varphi}}_{\boldsymbol{J}},\ddot{{\it\varphi}}_{\boldsymbol{J}},\dddot{{\it\varphi}}_{\boldsymbol{J}})$
, with
$$\begin{eqnarray}\displaystyle {\it\vartheta}_{{\it\Upsilon}_{0}(t)}({\it\delta}{\it\Upsilon}_{0}(t)) & = & \displaystyle {\it\vartheta}_{\boldsymbol{J}({\it\gamma}_{0}(t))}(D\boldsymbol{J}_{{\it\gamma}_{0}(t)}[{\it\delta}{\it\gamma}(t)])\nonumber\\ \displaystyle & = & \displaystyle (\boldsymbol{J}^{\ast }{\it\vartheta})_{{\it\gamma}_{0}(t)}({\it\delta}{\it\gamma}(t))\nonumber\\ \displaystyle & \equiv & \displaystyle \tilde{{\it\vartheta}}_{{\it\gamma}_{0}(t)}^{\infty }({\it\delta}{\it\gamma}(t)),\end{eqnarray}$$
where
$\tilde{{\it\vartheta}}^{\infty }=\boldsymbol{J}^{\ast }{\it\vartheta}$
denotes the pullback of the 1-form,
${\it\vartheta}$
, on
$Z$
-space to phase space along the mapping
$\boldsymbol{J}$
, and
A straightforward application of the definition of pullback (Abraham & Marsden Reference Abraham and Marsden2008) shows that
$\boldsymbol{J}^{\ast }{\it\vartheta}$
is precisely the dressed Lagrange 1-form introduced in § 2. Finally, using the fact that
$$\begin{eqnarray}\displaystyle {\it\delta}{\it\gamma}(t) & = & \displaystyle \left.\frac{\text{d}}{\text{d}{\it\epsilon}}\right|_{0}F_{t-t_{1}}(z+{\it\epsilon}v)\nonumber\\ \displaystyle & = & \displaystyle (DF_{t-t_{1}})_{z}[v],\end{eqnarray}$$
and applying the definition of pullback once more, the directional derivative of
$\bar{S}$
can be expressed as
i.e.
$\boldsymbol{d}\bar{S}=F_{t_{2}-t_{1}}^{\ast }\tilde{{\it\vartheta}}^{\infty }-\tilde{{\it\vartheta}}^{\infty }$
.
In order to find the
$t_{2}$
derivative of
$\bar{S}$
, first note that
$$\begin{eqnarray}\displaystyle \bar{S}(z) & = & \displaystyle \int _{t_{1}}^{t_{2}}\bar{L}({\it\Gamma}_{0}(t))\,\text{d}t\nonumber\\ \displaystyle & = & \displaystyle \int _{t_{1}}^{t_{2}}(\boldsymbol{j}^{\ast }\bar{L})({\it\gamma}_{0}(t))\,\text{d}t\nonumber\\ \displaystyle & = & \displaystyle \int _{t_{1}}^{t_{2}}(\boldsymbol{j}^{\ast }\bar{L})(F_{t-t_{1}}(z))\,\text{d}t,\end{eqnarray}$$
where the mapping
$\boldsymbol{j}=(Q_{\boldsymbol{J}},P_{\boldsymbol{J}},{\it\varphi}_{\boldsymbol{J}},\dot{Q}_{\boldsymbol{J}},{\dot{P}}_{\boldsymbol{J}},\dot{{\it\varphi}}_{\boldsymbol{J}},\ddot{{\it\varphi}}_{\boldsymbol{J}},\dddot{{\it\varphi}}_{\boldsymbol{J}})$
. Therefore,
When (A 41) is combined with (A 43), a straightforward application of exterior calculus identities given in Abraham & Marsden (Reference Abraham and Marsden2008) shows that
$X$
admits a phase-space Lagrangian. Indeed,
$$\begin{eqnarray}\displaystyle & \displaystyle \boldsymbol{d}\frac{\text{d}\bar{S}}{\text{d}t_{2}}=\frac{\text{d}}{\text{d}t_{2}}(F_{t_{2}-t_{1}}^{\ast }\tilde{{\it\vartheta}}^{\infty }-\tilde{{\it\vartheta}}^{\infty }) & \displaystyle \nonumber\\ \displaystyle & \displaystyle \Rightarrow F_{t_{2}-t_{1}}^{\ast }(\boldsymbol{d}\boldsymbol{j}^{\ast }\bar{L})=F_{t_{2}-t_{1}}^{\ast }(L_{X}\tilde{{\it\vartheta}}^{\infty }) & \displaystyle \nonumber\\ \displaystyle & \displaystyle \Rightarrow -\boldsymbol{d}(\tilde{{\it\vartheta}}^{\infty }(X)-\boldsymbol{j}^{\ast }\bar{L})={\it\iota}_{X}\boldsymbol{d}\tilde{{\it\vartheta}}^{\infty }, & \displaystyle\end{eqnarray}$$
which is precisely the condition given in (A 1).
$X$
’s Lagrange 1-form is given by
$\tilde{{\it\vartheta}}^{\infty }$
, while its Hamiltonian is given by
$h=\tilde{{\it\vartheta}}^{\infty }(X)-\boldsymbol{j}^{\ast }\bar{L}$
. Moreover, a careful analysis of the definitions of
$\tilde{{\it\vartheta}}^{\infty }$
and
$h$
shows the dressing procedure described in § 2 correctly identifies the phase-space Lagrangian for all-orders two-oscillator drift kinetics.
Appendix B. Why is the operator
${\mathcal{D}}$
invertible?
The linear operator
${\mathcal{D}}$
, which maps multi-species phase-space functions into multi-species phase-space functions, is defined by the expression
where the operator
${\it\chi}_{s\bar{s}}$
is given by
$$\begin{eqnarray}\displaystyle {\it\chi}_{s\bar{s}}[{\it\varepsilon}_{\bar{s}}] & = & \displaystyle {\it\eta}_{s\bar{s}}[\{F_{\bar{s}},{\it\varepsilon}_{\bar{s}}\}_{\bar{s}}^{gc}]\nonumber\\ \displaystyle & = & \displaystyle 2D_{s}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{\dagger }\frac{{\it\delta}^{2}{\mathcal{K}}}{{\it\delta}\boldsymbol{E}{\it\delta}\dot{\boldsymbol{E}}}D_{\bar{s}}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}[\{F_{\bar{s}},{\it\varepsilon}_{\bar{s}}\}_{\bar{s}}^{gc}]\nonumber\\ \displaystyle & & \displaystyle +\,\left(D_{s}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}^{\dagger }\frac{{\it\delta}^{2}{\mathcal{K}}}{{\it\delta}F_{\bar{s}}{\it\delta}\dot{\boldsymbol{E}}}-\frac{{\it\delta}^{2}{\mathcal{K}}}{{\it\delta}F_{s}{\it\delta}\dot{\boldsymbol{E}}}^{\dagger }D_{\bar{s}}\tilde{\boldsymbol{{\mathcal{E}}}}_{o}\right)[\{F_{\bar{s}},{\it\varepsilon}_{\bar{s}}\}_{\bar{s}}^{gc}].\end{eqnarray}$$
Here,
for
${\it\varepsilon}$
given
${\it\chi}$
. I will argue that this can be done provided
$|e|^{-1}$
is small enough and
${\it\rho}(F)=\sum _{s}q_{s}N_{s}=O(1)$
(the latter condition being necessary in high-flow drift kinetics in order to guarantee
$\boldsymbol{u}_{E}=O(1)$
).
As a first step toward solving for
${\it\varepsilon}$
, I will solve for the quantity
$\langle {\it\delta}{\it\varepsilon}\rangle$
as a function of
$\langle {\it\delta}{\it\chi}\rangle$
, where
The equation (B 8) can therefore be expressed as
which implies
where
I will now argue that the operator
$\langle {\mathcal{D}}\rangle$
is invertible as a mapping from functions on configuration space into itself. The general principal I will apply asserts that operators sufficiently close to invertible operators are also invertible. The operator
$\langle {\mathcal{D}}\rangle$
can be decomposed as
$\langle {\mathcal{D}}\rangle =\langle {\mathcal{D}}\rangle _{o}+\langle {\mathcal{D}}\rangle _{1}$
where
$\langle {\mathcal{D}}\rangle _{o}$
is the leading-order (in
${\it\epsilon}=|e|^{-1}$
) contribution to
$\langle {\mathcal{D}}\rangle$
and
$\langle {\mathcal{D}}\rangle _{1}=O({\it\epsilon})$
.
$\langle {\mathcal{D}}\rangle$
is invertible because
$\langle {\mathcal{D}}\rangle _{o}$
is invertible and
${\it\epsilon}$
-close to
$\langle {\mathcal{D}}\rangle$
. To see that
$\langle {\mathcal{D}}\rangle _{o}$
is invertible, first note that
where
$$\begin{eqnarray}\displaystyle \langle {\it\eta}\rangle _{os\bar{s}}[\langle {\it\delta}{\it\varepsilon}\rangle _{\bar{s}}] & = & \displaystyle -2q_{s}\frac{G_{\bot }}{{\it\epsilon}_{o}}\left[\boldsymbol{{\rm\nabla}}\boldsymbol{\cdot }\left(\mathop{\sum }_{{\it\sigma}}\frac{m_{{\it\sigma}}N_{{\it\sigma}}}{2B^{2}{\it\omega}_{c{\it\sigma}}}\hat{b}\times \boldsymbol{{\rm\nabla}}\frac{G_{\bot }}{{\it\epsilon}_{o}}[q_{\bar{s}}\langle {\it\delta}{\it\varepsilon}\rangle _{\bar{s}}]\right)\right]\nonumber\\ \displaystyle & \equiv & \displaystyle q_{s}A[q_{\bar{s}}\langle {\it\delta}{\it\varepsilon}\rangle _{\bar{s}}],\end{eqnarray}$$
and
$A$
is an
$O({\it\epsilon})$
linear operator. Now consider solving the equation,
for
$\langle {\it\delta}{\it\varepsilon}\rangle$
given
$j$
. In terms of the operator
$A$
, this equation can be written
which implies that the quantity
${\it\lambda}=\sum _{\bar{s}}q_{\bar{s}}\langle {\it\delta}{\it\varepsilon}\rangle _{\bar{s}}$
satisfies
where
$L$
is the
$O({\it\epsilon})$
operator given by
Because
$L=O({\it\epsilon})$
, the operator
$(1+L)$
is invertible for
${\it\epsilon}$
small enough. Thus,
${\it\lambda}=(1+L)^{-1}[\sum _{\bar{s}}q_{\bar{s}}j_{\bar{s}}]$
, and, according to (B 18),
which shows that
$\langle {\mathcal{D}}\rangle _{o}$
is invertible for small enough
${\it\epsilon}$
, as claimed. For reasons already mentioned, it follows that
$\langle {\mathcal{D}}\rangle$
is invertible for small enough
${\it\epsilon}$
. Therefore, by (B 13),
$\langle {\it\delta}{\it\varepsilon}\rangle =\langle {\mathcal{D}}\rangle ^{-1}[\langle {\it\delta}{\it\chi}\rangle ]$
. When this result is substituted into (B 12), an expression for
${\it\varepsilon}$
and a function of
${\it\chi}$
emerges,
which shows that
${\mathcal{D}}$
is invertible.