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Dynamics of ultrarelativistic charged particles with strong radiation reaction.
II. Entry into Aristotelian equilibrium

Yangyang Cai    Samuel E. Gralla Department of Physics, University of Arizona, 1118 E 4th Street, U.S.A    Vasileios Paschalidis Department of Physics, University of Arizona, 1118 E 4th Street, U.S.A Department of Astronomy, University of Arizona, 933 N Cherry Ave, U.S.A
Abstract

As first proposed by Gruzinov, a charged particle moving in strong electromagnetic fields can enter an equilibrium state where the power input from the electric field is balanced by radiative losses. When this occurs, the particle moves at nearly light speed along special directions called the principal null directions (PNDs) of the electromagnetic field. This equilibrium is “Aristotelian” in that the particle velocity, rather than acceleration, is determined by the local electromagnetic field. In paper I of this series, we analytically derived the complete formula for the particle velocity at leading order in its deviation from the PND, starting from the fundamental Landau-Lifshitz (LL) equation governing charged particle motion, and demonstrated agreement with numerical solutions of the LL equation. We also identified five necessary conditions on the field configuration for the equilibrium to occur. In this paper we study the entry into equilibrium using a similar combination of analytical and numerical techniques. We simplify the necessary conditions and provide strong numerical evidence that they are also sufficient for equilibrium to occur. Based on exact and approximate solutions to the LL equation, we identify key timescales and properties of entry into equilibrium and show quantitative agreement with numerical simulations. Part of this analysis shows analytically that the equilibrium is linearly stable and identifies the presence of oscillations during entry, which may have distinctive radiative signatures. Our results provide a solid foundation for using the Aristotelian approximation when modeling relativistic plasmas with strong electromagnetic fields.

preprint: APS/123-QED

I Introduction

Every electromagnetic field defines, algebraically at each point, a pair of (possibly identical) light-speed velocities, its principal null directions (PNDs) [1]. Recently, it has become clear that this mathematical notion has an elegant physical manifestation: ultrarelativistic charged particles follow the PNDs. The phenomenon appears to be quite universal in that it emerges in different regimes and with different mechanisms regulating the ultimate particle speed, such as classical radiation reaction in magnetically dominated fields relevant to astrophysics [2, 3, 4, 5, 6, 7] or quantum radiation reaction in nearly null fields relevant to laser-plasma physics [8, 9, 10, 11, 12]. This regime is Aristotelian in that the particle velocity, rather than acceleration, is determined by the local electromagnetic field.

In paper I of this series [13] we initiated a detailed study of Aristotelian motion for classical charged particles in strong external fields. We considered the fundamental Landau-Lifshitz (LL) equation [14], which includes both Lorentz force and self-force. We adopted the approximation that a particle is nearly, but not exactly, moving on a PND, and derived equations for its velocity at leading order in the deviation from the PND. We identified precise conditions on the field configuration that are necessary for the equilibrium to occur. Finally, we demonstrated numerical agreement of this approximation with full solutions of the LL equation in the appropriate regime, using a new numerical code.

In this paper we will use similar analytical and numerical techniques to study the entry into Aristotelian equilibrium. Our main results are: (1) the necessary conditions identified in paper I are in fact sufficient for equilibrium to occur; (2) the equilibrium is linearly stable; (3) in some parameter ranges there are oscillations during the approach to equilibrium, whose properties we study analytically. Together with the findings of paper I, these results provide a definite prescription for using the Aristotelian approximation in practice.

This paper is organized as follows. In Sec. II we review the Aristotelian equilibrium and relate the assumptions and results of paper I [13] to the simple versions given originally by Gruzinov [15, 4]. In Sec. III we review the LL equation and introduce notation. In Sec. IV we show an example of Aristotelian equilibrium in a helical field configuration. In Sec. V we analytically study the approach to equilibrium and demonstrate agreement with numerical simulations. In Sec. VI we perform a large numerical parameter survey that validates our conditions for entry into equilibrium. Finally, in Sec. VII we summarize our results, focusing on a simple prescription for using the Aristotelian approximation in astronomical modeling. Appendix A provides details of our numerical scheme. We use Gaussian units with the speed of light set equal to one.

II Aristotelian Equilibrium

In this section we review the properties of the PNDs and the Aristotelian equilibrium. The PNDs [1] +μ\ell_{+}^{\mu} and μ\ell_{-}^{\mu} of an electromagnetic field FμνF_{\mu\nu} are the solutions to the pointwise eigenvalue equation

Fμ±νν=±E0±ν.\displaystyle F^{\mu}{}_{\nu}\ell_{\pm}^{\nu}=\pm E_{0}\ell_{\pm}^{\nu}. (1)

The explicit solution in terms of electric and magnetic fields is

±μ\displaystyle\ell^{\mu}_{\pm} =(1,v±),\displaystyle=(1,\vec{v}_{\pm}), (2)
v±\displaystyle\vec{v}_{\pm} =E×B±(B0B+E0E)B2+E02,\displaystyle=\frac{\vec{E}\times\vec{B}\pm(B_{0}\vec{B}+E_{0}\vec{E})}{B^{2}+E_{0}^{2}}, (3)

where E0E_{0} and B0B_{0} are given in terms of the invariants P=B2E2P=\vec{B}^{2}-\vec{E}^{2} and Q=EBQ=\vec{E}\cdot\vec{B} as

E0\displaystyle E_{0} =(P/2)2+Q2P/2\displaystyle=\sqrt{\sqrt{(P/2)^{2}+Q^{2}}-P/2} (4)
B0\displaystyle B_{0} =sign(Q)(P/2)2+Q2+P/2.\displaystyle=\textrm{sign}(Q)\sqrt{\sqrt{(P/2)^{2}+Q^{2}}+P/2}. (5)

When the PNDs are degenerate (+μ=μ\ell^{\mu}_{+}=\ell^{\mu}_{-}), the eigenvalue vanishes and the field is null (E0=B0=0E_{0}=B_{0}=0), in which case the electric and magnetic fields are orthogonal and equal in magnitude in any Lorentz frame. When the PNDs are distinct, the eigenvalues are ±E0\pm E_{0}, and E0>0E_{0}>0 is the magnitude of the electric field in any frame where the electric and magnetic fields are parallel. Similarly, |B0||B_{0}| is the magnitude of the magnetic field in such a frame, with B0B_{0} positive/negative when the fields are aligned/antialigned.

The PNDs define integral curves x±(t)\vec{x}_{\pm}(t) by the equation dx±/dt=v±d\vec{x}_{\pm}/dt=v_{\pm}. The parameter tt is the arc length of the space curve, since v±2=1v_{\pm}^{2}=1. On each curve we may erect a Frenet Serret frame {,n,k}\{\vec{\ell},\vec{n},\vec{k}\} with =v±\vec{\ell}=v_{\pm} [13]. Since these curves fill space, for each choice of ±\pm we have a full orthonormal basis for vector fields. In particular, we may decompose the velocity vector of a charged particle as

v=v+vnn+vkk,\displaystyle\vec{v}=v_{\ell}\vec{\ell}+v_{n}\vec{n}+v_{k}\vec{k}, (6)

where we choose =v+\vec{\ell}=\vec{v}_{+} for positively charged particles and =v\vec{\ell}=\vec{v}_{-} for negatively charged particles. As this is an orthonormal frame, the Lorentz factor is reconstructed by

γ=11v2vn2vk2.\displaystyle\gamma=\frac{1}{\sqrt{1-v_{\ell}^{2}-v_{n}^{2}-v_{k}^{2}}}. (7)

The Frenet-Serret vectors {,n,k}\{\vec{\ell},\vec{n},\vec{k}\} and their associated curvature κ\kappa and torsion ι\iota are local functions of the electric and magnetic fields for each choice of ±\pm. This may be seen from the defining equations,

\displaystyle\vec{\ell} =v±,\displaystyle=\vec{v}_{\pm}, (8)
κn\displaystyle\kappa\vec{n} =(),(nn=1)\displaystyle=(\vec{\ell}\cdot\vec{\nabla})\vec{\ell},\qquad(\vec{n}\cdot\vec{n}=1) (9)
k\displaystyle\vec{k} =×n,\displaystyle=\vec{\ell}\times\vec{n}, (10)
ιn\displaystyle\iota\vec{n} =()k.\displaystyle=-(\vec{\ell}\cdot\vec{\nabla})\vec{k}. (11)

The first vector =v±\vec{\ell}=v_{\pm} is determined by the values of E\vec{E} and B\vec{B} via Eqs. (8) and (3). The second vector n^\hat{n} and the curvature κ\kappa involve first derivatives as well [Eq. (9)]. The third vector k=×n\vec{k}=\vec{\ell}\times\vec{n} also depends on first derivatives. Finally, the torsion ι\iota depends on first and second derivatives [Eq. (10)]. We will also define the radius of curvature RR,

R=1κ.\displaystyle R=\frac{1}{\kappa}. (12)

Note that while E0E_{0}, B0B_{0} and μ\ell^{\mu} are invariant notions, the projection of the null vector μ\ell^{\mu} to the spatial velocity v±=v_{\pm}=\vec{\ell} depends on the choice of Lorentz frame. The corresponding Frenet-Serret basis, together with its associated curvature and torsion, are similarly non-invariant. We will be formulating assumptions and deriving results in terms of these non-invariant quantities; the interpretation is that our results hold in frames satisfying our assumptions. Note that we will use the phrase “PND” for both the invariant null direction in a spacetime sense and the non-invariant spatial direction v±\vec{v}_{\pm} in a given frame. Context will make clear which notion is meant.

A particle of charge qq and mass mm defines a length scale \mathcal{R} and a field scale \mathcal{E} by

q2m,32m2|q|3,\displaystyle\mathcal{R}\equiv\frac{q^{2}}{m},\qquad\mathcal{E}\equiv\frac{3}{2}\frac{m^{2}}{|q|^{3}}, (13)

with a conventional factor of 3/23/2. The “classical electron radius” \mathcal{R} is the distance where the electrostatic self-energy of a point charge equals its rest mass, and the “classical critical field” \mathcal{E} is (three-halves times) the strength of the electric field at this location. These represent typical scales at which the classical description of the particle will break down. These quantities also define time and magnetic field scales after multiplying by suitable factors of the speed of light (set here to unity). We therefore assume

E0,B0L,T,\displaystyle E_{0},B_{0}\ll\mathcal{E}\qquad L,T\gg\mathcal{R}, (14)

where LL and TT are typical length and time scales for the field configuration to change significantly.

II.1 Original Derivation

We now summarize Gruzinov’s original arguments for Aristotelian motion [4, 15] using the notation of our paper. Gruzinov considered the case where a particle moves primarily along a PND, i.e.,

γ\displaystyle\gamma 1,\displaystyle\gg 1, (15)
vn2+vk2\displaystyle\sqrt{v_{n}^{2}+v_{k}^{2}} 1.\displaystyle\ll 1. (16)

If we approximate the particle motion as a circle of radius equal to the radius of curvature R=1/κR=1/\kappa of the PND, the power radiated is (2/3)q2R2γ4(2/3)q^{2}R^{2}\gamma^{4}. Gruzinov assumed that this “curvature radiation” power is balanced by the Lorentz force power |q|E0|q|E_{0},

23q2R2γ4=|q|E0.\displaystyle\frac{2}{3}q^{2}R^{2}\gamma^{4}=|q|E_{0}. (17)

Solving for γ\gamma gives the Gruzinov formula for the Lorentz factor,

γg\displaystyle\gamma_{g} =(3E0R22|q|)1/4.\displaystyle=\left(\frac{3E_{0}R^{2}}{2|q|}\right)^{1/4}. (18)

Gruzinov obtained an additional condition for this equilibrium based on the idea that it can only occur when the particle has enough space to be accelerated to this terminal Lorentz factor before the PND curves significantly. The curvature radius RR sets the scale over which the uniform field approximation breaks down, so the particle must be able to gain mγgm\gamma_{g} energy in a region much smaller than RR. The typical energy gain over a region of size DD is qE0DqE_{0}D, so we obtain the condition

mγgqE0R,\displaystyle m\gamma_{g}\ll qE_{0}R, (19)

which may equivalently be written

γgE0R\displaystyle\gamma_{g}\ll\frac{E_{0}R}{\mathcal{E}\mathcal{R}} (20)

or

3/2E03/2R.\displaystyle\mathcal{E}^{3/2}\mathcal{R}\ll E_{0}^{3/2}R. (21)

II.2 LL Derivation

In paper I [13] we sought to better understand the Aristotelian equilibrium by studying the fundamental LL equation of charged particle dynamics. We again assumed motion along a PND [Eqs. (15) and (16)]. However, the energy balance condition (17) is inappropriate in this context since (1) it requires the particle motion to be treated as circular, an uncontrolled approximation whose compatibility with the LL equation is not obvious; and (2) the local LL dynamics contains more information than just energy conservation. Instead, to express the idea of energy balance, we assumed that the local change in energy is small compared to the typical value set by the Lorentz force,

m|dγdt|\displaystyle m\left|\frac{d\gamma}{dt}\right| |q|E0.\displaystyle\ll|q|E_{0}. (22)

We also assumed that the timescale TT for changes in the field is long compared to the lengthscale LL for spatial changes in the field,

TL.\displaystyle T\gg L. (23)

We found that Gruzinov’s equilibrium emerged only after a final additional assumption,

|ι|\displaystyle|\iota| |q|mγMax{E0,|B0|},\displaystyle\ll\frac{|q|}{m\gamma}\textrm{Max}\{E_{0},|B_{0}|\}, (24)

where ι\iota is the torsion of the PND. These three conditions (22), (23) and (24) replace the assumption (17) of global power balance in approximate circular motion. Eq. (22) guarantees approximate power balance locally at the level of the LL equation (as opposed to globally, at the level of total radiated energy), while Eqs. (23) and (22) reflect the approximate circular motion with radius RR.

Under these five assumptions (15), (16), (22), (23), (24), we found that the field determines the velocities pointwise as

γ\displaystyle\gamma =(94R22E0)1/4=γg\displaystyle=\left(\frac{9}{4}\frac{R^{2}}{\mathcal{R}^{2}}\frac{E_{0}}{\mathcal{E}}\right)^{1/4}=\gamma_{g} (25)
vn\displaystyle v_{n} =1+δγE0\displaystyle=-\frac{1+\delta}{\gamma}\sqrt{\frac{E_{0}}{\mathcal{E}}} (26)
vk\displaystyle v_{k} =δγB0E0E0,\displaystyle=\frac{\delta}{\gamma}\frac{B_{0}}{E_{0}}\sqrt{\frac{E_{0}}{\mathcal{E}}}, (27)

where we used the definitions (13) and also introduced

δ=E0E02+B02.\displaystyle\delta=\frac{E_{0}\mathcal{E}}{E_{0}^{2}+B_{0}^{2}}. (28)

We thus reproduced Gruzinov’s Lorentz factor (18) and derived new expressions (26) and (27) for the drift velocities.

II.3 Conditions on the field configuration

The five assumptions (15), (16), and (22)–(24) can be recast as conditions purely on the field configuration by using the results (25)–(27). Presenting the results as five conditions Ci1C_{i}\ll 1, the conditions are

C1\displaystyle C_{1} =RE01\displaystyle=\frac{\mathcal{R}}{R}\sqrt{\frac{\mathcal{E}}{E_{0}}}\ll 1 (29)
C2\displaystyle C_{2} =δRE01\displaystyle=\delta\frac{\mathcal{R}}{R}\sqrt{\frac{\mathcal{E}}{E_{0}}}\ll 1 (30)
C3\displaystyle C_{3} =|ι|R(E0)1/4Max{E0,|B0|}1\displaystyle=|\iota|\sqrt{R\mathcal{R}}\left(\frac{E_{0}}{\mathcal{E}}\right)^{1/4}\frac{\mathcal{E}}{\textrm{Max}\{E_{0},|B_{0}|\}}\ll 1 (31)
C4\displaystyle C_{4} =ηR(E0)3/41,\displaystyle=\eta\sqrt{\frac{\mathcal{R}}{R}}\left(\frac{\mathcal{E}}{E_{0}}\right)^{3/4}\ll 1, (32)
C5\displaystyle C_{5} =LT1\displaystyle=\frac{L}{T}\ll 1 (33)

with

η=|vR+R2E0vE0|.\displaystyle\eta=\left|\vec{v}\cdot\vec{\nabla}R+\frac{R}{2E_{0}}\vec{v}\cdot\vec{\nabla}E_{0}\right|. (34)

In this last expression, it is understood that Eqs. (25)–(27) [as well as (7)] are to be used to express v\vec{v} in terms of the local field configuration. In obtaining (30) we have used the fact that vn2+vk2δ/γ\sqrt{v_{n}^{2}+v_{k}^{2}}\approx\sqrt{\delta}/\gamma under the assumptions (14).

The names CiC_{i} are derived from paper I. In this paper, C1C_{1}C5C_{5} correspond (respectively) to Eqs. (15), (16), (24), (22), and (23). In particular, C11C_{1}\ll 1 and C21C_{2}\ll 1 express the approximate PND motion (15) and (16), while C41C_{4}\ll 1 expresses the approximate local equilibrium (22).

Our expression for C4C_{4} differs from that presented in paper I, where we assumed that ηR/L\eta\sim R/L. Generically we will have η1\eta\sim 1. In this paper we also include cases where η\eta is very small, since they arise quite naturally in our numerical studies, and help to illustrate the differences between our approach and that originally given by Gruzinov (Sec. II.1).

Notice that C1C_{1} and C2C_{2} are related to C4C_{4} by the equations

ηC13/2\displaystyle\eta C_{1}^{3/2} =RC4C4\displaystyle=\frac{\mathcal{R}}{R}C_{4}\ll C_{4} (35)
ηC2\displaystyle\eta C_{2} RC4C4.\displaystyle\leq\sqrt{\frac{\mathcal{R}}{R}}C_{4}\ll C_{4}. (36)

In the second line we used the bound δ/E0\delta\leq\mathcal{E}/E_{0}, which follows from the definition (28) of δ\delta. In the generic case that η1\eta\sim 1, we see that both C1C_{1} and C2C_{2} are small compared with C4C_{4}. This means that C41C_{4}\ll 1 in fact implies that C11C_{1}\ll 1 and C21C_{2}\ll 1, and generically one can ignore the C1C_{1} and C2C_{2} conditions. While η\eta can be a small number in special cases (such as the circular fields studied in Sec. VI.1 below), it would have to be less than /R\sim\sqrt{\mathcal{R}/R} for the C1C_{1} and C2C_{2} conditions to become relevant. For macroscopic fields this factor is very small; for example, /R5×108\sqrt{\mathcal{R}/R}\approx 5\times 10^{-8} if RR is one meter. A field configuration with η\eta this small would be extraordinarily fine-tuned. We therefore conclude that for the macroscopic fields of relevance in astrophysics, we may always ignore the C1C_{1} and C2C_{2} conditions, since they are implied by the C4C_{4} condition.

Let us therefore focus on the C4C_{4} condition (32). This condition can be rewritten as

η23/2RE03/2,\displaystyle\eta^{2}\mathcal{R}\mathcal{E}^{3/2}\ll RE_{0}^{3/2}, (37)

showing that it is in fact equivalent to Gruzinov’s condition (21) in the generic case η1\eta\sim 1. This agreement is interesting since Gruzinov’s condition (21) arose from reasoning about when a particle can enter equilibrium, whereas our condition (37) arose from the assumption (22) that equilibrium had been achieved. We will see numerically in Sec. VI that Eq. (37) is necessary and sufficient for equilibrium, provided the other conditions are satisfied.

Finally we discuss C3C_{3}, which satisfies

C3\displaystyle C_{3} =|ι|κη1C4E0Max{E0,|B0|}.\displaystyle=\frac{|\iota|}{\kappa}\eta^{-1}C_{4}\frac{E_{0}}{\textrm{Max}\{E_{0},|B_{0}|\}}. (38)

The last factor E0/Max{E0,|B0|}E_{0}/\textrm{Max}\{E_{0},|B_{0}|\} is always 1\lesssim 1 and will be small for pulsars, where E0|B0|E_{0}\ll|B_{0}|. Again assuming the generic case η1\eta\sim 1, Eq. (38) shows that large values of the torsion-to-curvature ratio |ι|/κ|\iota|/\kappa are required for the condition C31C_{3}\ll 1 to be violated in a regime where the condition C41C_{4}\ll 1 is satisfied. For fields with |ι|/κ1|\iota|/\kappa\lesssim 1, the C3C_{3} condition can be ignored, since it is implied by the C4C_{4} condition. We discuss cases with large |ι|/κ|\iota|/\kappa in Sec. IV below.

The conditions Ci1C_{i}\ll 1 arose in paper I as a minimal set of assumptions under which the LL equation reduced to the simple results (25)–(27). Although we do not attempt any rigorous mathematical proof, it seems clear from the steps of the derivation there that these assumptions were all necessary for the simple results to emerge. We therefore regard the conditions (29)–(33) as necessary conditions for the equilibrium described by (25)–(27). One of the main goals of this paper is to argue that they are also sufficient for equilibrium to occur.

III Landau-Lifshitz Equation

The LL equation is reviewed in paper I [13]; here we briefly recap the physics and introduce our notation for numerical simulations. In terms of E\vec{E} and B\vec{B} fields, the LL equation is111We have dropped terms involving the derivative of the field strength, which are always negligible in the regime of validity discussed below (39).

d(γv)dτ=γqm{\displaystyle\frac{d(\gamma\vec{v})}{d\tau}=\frac{\gamma q}{m}\Bigg{\{} E+v×B\displaystyle\vec{E}+\vec{v}\times\vec{B}
±1[(Ev)E+(E+v×B)×B]\displaystyle\pm\frac{1}{\mathcal{E}}\left[(\vec{E}\cdot\vec{v})\vec{E}+(\vec{E}+\vec{v}\times\vec{B})\times\vec{B}\right]
γ2[(E+v×B)2(Ev)2]},\displaystyle\mp\frac{\gamma^{2}}{\mathcal{E}}\left[(\vec{E}+\vec{v}\times\vec{B})^{2}-(\vec{E}\cdot\vec{v})^{2}\right]\Bigg{\}}, (39)

where ±\pm is the sign of qq, v\vec{v} is the velocity, γ=1/1v2\gamma=1/\sqrt{1-v^{2}} is the Lorentz factor, and τ\tau is the proper time. As discussed originally by LL [14], this equation is valid provided that the corrections to Lorentz force motion (the final two terms) are small compared to the Lorentz force in the rest frame of the particle. However, in the lab frame they may be of comparable or greater magnitude, and this is the regime of interest to us.

For numerical purposes, we normalize the equation using the natural scales of the equation, together with a dimensionless number χ\chi that can be chosen for convenience. Defining

τ~\displaystyle\tilde{\tau} =32χ2τ\displaystyle=\frac{3}{2}\chi^{2}\frac{\tau}{\mathcal{R}} (40)
E~\displaystyle\tilde{\vec{E}} =Eχ\displaystyle=\frac{\vec{E}}{\chi\mathcal{E}} (41)
B~\displaystyle\tilde{\vec{B}} =Bχ\displaystyle=\frac{\vec{B}}{\chi\mathcal{E}} (42)
p~\displaystyle\tilde{\vec{p}} =pm=γv,\displaystyle=\frac{\vec{p}}{m}=\gamma\vec{v}, (43)

Eq. (39) becomes

dp~dτ~\displaystyle\frac{d\tilde{\vec{p}}}{d\tilde{\tau}} =1χfL±[(E~p~)E~+fL×B~][fL2(E~p~)2]p~,\displaystyle=\frac{1}{\chi}\vec{f_{L}}\pm\left[(\tilde{\vec{E}}\cdot\tilde{\vec{p}})\tilde{\vec{E}}+\vec{f_{L}}\times\tilde{\vec{B}}\right]\mp\left[f_{L}^{2}-(\tilde{\vec{E}}\cdot\tilde{\vec{p}})^{2}\right]\tilde{\vec{p}}, (44)

where fL=γE~+p~×B~\vec{f_{L}}=\gamma\tilde{\vec{E}}+\tilde{\vec{p}}\times\tilde{\vec{B}} is the Lorentz force term. The Lorentz factor is related to the rescaled momentum by

γ\displaystyle\gamma =1+p~2.\displaystyle=\sqrt{1+\tilde{p}^{2}}. (45)

Once the equation is solved for p~(τ~)\tilde{\vec{p}}(\tilde{\tau}), the position can be recovered by a subsequent integration. For convenience we define a normalized position vector x~\tilde{\vec{x}},

x~\displaystyle\tilde{\vec{x}} =32χ2x=32χ21v𝑑t=p~𝑑τ~.\displaystyle=\frac{3}{2}\chi^{2}\frac{\vec{x}}{\mathcal{R}}=\frac{3}{2}\chi^{2}\frac{1}{\mathcal{R}}\int\vec{v}dt=\int\tilde{\vec{p}}\ d\tilde{\tau}. (46)

If necessary, one can also determine the lab-frame time tt from dt=γdτdt=\gamma d\tau.

We will choose the value of χ\chi so that lengths are measured in meters when the electron is considered,

χ=231m4.33×108.\displaystyle\chi=\sqrt{\frac{2}{3}\frac{\mathcal{R}}{1{\rm m}}}\approx 4.33\times 10^{-8}. (47)

In particular for electrons we have

x~\displaystyle\tilde{\vec{x}} =(position in meters)\displaystyle=\textrm{(position in meters)} (48)
τ~\displaystyle\tilde{\tau} =(proper time in meters)\displaystyle=\textrm{(proper time in meters)} (49)
E~\displaystyle\tilde{\vec{E}} =(electric field in units of 1013 V/m)\displaystyle=\textrm{(electric field in units of $10^{13}$ V/m)} (50)
B~\displaystyle\tilde{\vec{B}} =(magnetic field in units of 108 G),\displaystyle=\textrm{(magnetic field in units of $10^{8}$ G)}, (51)

These are somewhat convenient for pulsars, which have radii of 10\sim 10km and magnetic fields of 10810^{8}101510^{15}G.

Our numerical method is described in Appendix. A.

IV An example with torsion

In paper I we presented a numerical example of Aristotelian equilibrium in which the torsion was precisely zero. Here we complement that case with an example where the torsion is significant. We consider a simple field configuration consisting of parallel electric and magnetic fields tangent to helical curves that fill space. In terms of some constant h>0h>0, the field configuration is

E\displaystyle\vec{E} =E0h2+x2+y2{y,x,h}\displaystyle=\frac{E_{0}}{\sqrt{h^{2}+x^{2}+y^{2}}}\left\{-y,x,h\right\} (52)
B\displaystyle\vec{B} =B0h2+x2+y2{y,x,h}.\displaystyle=\frac{B_{0}}{\sqrt{h^{2}+x^{2}+y^{2}}}\left\{-y,x,h\right\}. (53)

The PNDs are also helical, and their curvature and torsion are

κ\displaystyle\kappa =x2+y2x2+y2+h2\displaystyle=\frac{\sqrt{x^{2}+y^{2}}}{x^{2}+y^{2}+h^{2}} (54)
ι\displaystyle\iota =hx2+y2+h2,\displaystyle=\frac{h}{x^{2}+y^{2}+h^{2}}, (55)

with ratio

ικ=hx2+y2.\displaystyle\frac{\iota}{\kappa}=\frac{h}{\sqrt{x^{2}+y^{2}}}. (56)

We choose field strengths E~0=B~0=1\tilde{E}_{0}=\tilde{B}_{0}=1 and height h~=10\tilde{h}=10. For electrons, the physical units of E~0\tilde{E}_{0} and B~0\tilde{B}_{0} are given in Eqs. (50) and (51), while the value of h~\tilde{h} represents meters. We start the particle at (1,0,0)(1,0,0) and it reaches equilibrium within several timescales m/(qE)m/(qE). Fig. 1 shows a portion of the ensuing trajectory, which closely hugs a PND while slowly drifting outwards. Although the torsion of this PND is times larger than the curvature, we still have C3.021C_{3}\approx.02\ll 1 and the formulas for the Aristotelian equilibrium should still be valid. Fig. 2 shows indeed that the numerical results match the predicted analytical formulas.

By suitable choice of the parameters E0E_{0}, B0B_{0}, and hh, one can arrange for C3C_{3} to be arbitrarily large over an arbitrarily large region of space. However, since κ\kappa (54) falls off more slowly than ι\iota (55), the value of C3C_{3} always becomes small at large distances from the zz axis [see Eq. (38)]. In numerical experiments we find that equilibrium does not occur in the region of large C3C_{3}.222Although C31C_{3}\ll 1 is required for the formulas (25)–(27) to apply, in principle the particle could reach an equilibrium described by different formulas. In paper I we in fact derived a more general formula for the Lorentz factor as a quartic equation for γ\gamma (see Eq. (61) of paper I) that does not rely on C31C_{3}\ll 1. However, this formula does require the equilibrium assumption (22), and we found in this case that the particle does not enter equilibrium in this sense while C3C_{3} is still large. We have not identified a field configuration where the alternative Lorentz factor formula both applies and is significantly different from the Gruzinov value. However, the particle still moves primarily along the principal null direction, now with Lorentz factor growing in time, indicating yet another regime of PND motion worthy of future exploration. In this particular numerical experiment, the motion also has a slower outward drift that eventually takes the particle to a region of small C3C_{3} and C4C_{4}, where its Lorentz factor finally settles down to the Gruzinov value (18). These properties are illustrated in Fig. 3

These simple examples demonstrate that the equilibrium works as expected when torsion is non-zero, as long as C31C_{3}\ll 1. In the remainder of the paper we will set the torsion precisely to zero in order to simplify the discussion.

Refer to caption
Figure 1: Trajectory of a particle under the helical field configuration (52) and (53) with equal electric and magnetic field strengths. The particle’s trajectory is almost tangent to the PND shown in the plot while drifting outwards slowly. Notice that the z~\tilde{z} axis has a compressed scale; the torsion-to-curvature ratio is ι/κ10\iota/\kappa\approx 10.
Refer to caption
Figure 2: Agreement of the analytical predictions (25)–(27) with numerical simulation in a case with significant torsion. The trajectory is shown in Fig. 1. The fractional differences ϵi\epsilon_{i} are defined as the difference between the numerical and analytical value, divided by the analytical value, for i={γ,vn,vk}i=\{\gamma,v_{n},v_{k}\}. The bottom two plots show the torsion and curvature of the PND at the particle position, normalized as κ~=(2/3)χ2κ\tilde{\kappa}=(2/3)\chi^{-2}\mathcal{R}\kappa and ι~=(2/3)χ2κ\tilde{\iota}=(2/3)\chi^{-2}\mathcal{R}\kappa according to the conventions of Sec. III. The xx-axis uses a timescale τE=m/(qE0)\tau_{E}=m/(qE_{0}).
Refer to caption
Figure 3: An example of evolution through a region where the torsion condition C31C_{3}\ll 1 is violated. Since C3ι/κC_{3}\propto\iota/\sqrt{\kappa} diverges on the symmetry axis for the nested helical configuration we consider, the torsion condition is violated near the axis. Here we show an evolution beginning in this region; the particle starts at x~={0.01,0,0}\tilde{\vec{x}}=\{0.01,0,0\}, where C35.6C_{3}\approx 5.6. The initial velocity is along the PND with initial Lorentz factor equal to half the Gruzinov value. The particle still approximately follows the PND, but with time-variable Lorentz factor, such that it does not reach equilibrium where C3C_{3} is large. However, it eventually drifts to a region of small C3C_{3} and settles down to the Aristotelian equilibrium.

V Approach to Equilibrium

We now study the process by which a particle enters equilibrium, using a combination of analytical and numerical approaches.

V.1 Uniform field solution

At least for some short time, the motion of a particle can be determined in the approximation that the field is uniform. In this approximation, we can always work in a frame where E\vec{E} and B\vec{B} are parallel. The full analytic solution to the LL equation was found in this case by [16]. We denote the initial velocity by (v1,v2,v3)(v_{1},v_{2},v_{3}) with initial Lorentz factor γ0\gamma_{0}, such that the initial four-velocity is given by

uα(0)=γ0(1,v1,v2,v3).\displaystyle u^{\alpha}(0)=\gamma_{0}(1,v_{1},v_{2},v_{3}). (57)

Taking the field to be in the zz direction, the analytic solution to the LL equation is

γ(τ)\displaystyle\gamma(\tau) =12(1+v3)+(1v3)e2τ/τE1v32(v12+v22)e2τ/(δτE)eτ/τE\displaystyle=\frac{1}{2}\frac{(1+v_{3})+(1-v_{3})e^{-2\tau/\tau_{E}}}{\sqrt{1-v_{3}^{2}-(v_{1}^{2}+v_{2}^{2})e^{-2\tau/(\delta\tau_{E})}}}e^{\tau/\tau_{E}} (58)
vx(τ)\displaystyle v_{x}(\tau) =A(τ)eτ/τsin(τ/τB+ϕ)\displaystyle=A(\tau)e^{-\tau/\tau_{\perp}}\sin(\tau/\tau_{B}+\phi) (59)
vy(τ)\displaystyle v_{y}(\tau) =sign(qB0)A(τ)eτ/τcos(τ/τB+ϕ)\displaystyle=-\text{sign}(qB_{0})A(\tau)e^{-\tau/\tau_{\perp}}\cos(\tau/\tau_{B}+\phi) (60)
vz(τ)\displaystyle v_{z}(\tau) =sign(q)(1+v3)(1v3)e2τ/τE(1+v3)+(1v3)e2τ/τE.\displaystyle=\text{sign}(q)\frac{(1+v_{3})-(1-v_{3})e^{-2\tau/\tau_{E}}}{(1+v_{3})+(1-v_{3})e^{-2\tau/\tau_{E}}}. (61)

We are using Cartesian coordinates with vx(τ=0)=v1v_{x}(\tau=0)=v_{1}, vy(τ=0)=v2v_{y}(\tau=0)=v_{2}, and vz(τ=0)=v3v_{z}(\tau=0)=v_{3}, and ϕ\phi is the initial direction of motion in the xyxy plane (tanϕ=v2/v1\tan\phi=v_{2}/v_{1}). Here A(τ)A(\tau) is defined by

A(τ)\displaystyle A(\tau) =2v12+v22(1+v3)+(1v3)e2τ/τE,\displaystyle=\frac{2\sqrt{v_{1}^{2}+v_{2}^{2}}}{(1+v_{3})+(1-v_{3})e^{-2\tau/\tau_{E}}}, (62)

and we introduced three time scales

τB\displaystyle\tau_{B} =m|qB0|,\displaystyle=\frac{m}{|qB_{0}|}, (63)
τE\displaystyle\tau_{E} =m|q|E0\displaystyle=\frac{m}{|q|E_{0}} (64)
τ\displaystyle\tau_{\perp} =m|q|E0δδ+1.\displaystyle=\frac{m}{|q|E_{0}}\frac{\delta}{\delta+1}. (65)

The definition of δ\delta was given above in Eq. (28).

We see that the particle asymptotically approaches light speed in the zz direction, i.e., it eventually moves along the PND. We interpret this to mean that radiation damps only the perpendicular momentum. The particle executes a damped circular motion in the xyxy plane (around the field direction), in accordance with the low-E0E_{0} intuition of synchrotron motion and associated radiation damping. The period of oscillation is just the classical synchrotron period τB\tau_{B} (expressed here in proper time), while the decay time τ\tau_{\perp} generalizes the classical synchrotron damping result. In particular, we have

τ{τB|B0||B0|E0τEE0|B0|,\displaystyle\tau_{\perp}\approx\begin{cases}\tau_{B}\frac{\mathcal{E}}{|B_{0}|}&|B_{0}|\gg E_{0}\\ \tau_{E}&E_{0}\gg|B_{0}|\end{cases}, (66)

taking into account E0E_{0}\ll\mathcal{E}. The former case agrees in order of magnitude with Eq. (A2) of Ref. [17].

To understand the dynamics it is convenient to expand the Lorentz factor at early and late times,

γ(τ){γ0(1τ/τdropv3γ02τ/τE),τ0121+v31v32eτ/τE,τ.\displaystyle\gamma(\tau)\approx\begin{cases}\gamma_{0}\left(1-\tau/\tau_{\rm drop}-\frac{v_{3}}{\gamma_{0}^{2}}\tau/\tau_{E}\right),&\tau\to 0\\ \frac{1}{2}\sqrt{\frac{1+v^{3}}{1-v_{3}^{2}}}e^{\tau/\tau_{E}},&\tau\to\infty.\end{cases} (67)

where we introduce yet another timescale

τdropδγ02(v12+v22)τE.\displaystyle\tau_{\rm drop}\equiv\frac{\delta}{\gamma_{0}^{2}(v_{1}^{2}+v_{2}^{2})}\tau_{E}. (68)

For sufficiently large initial velocity perpendicular to the field, γ0(v12+v22)δ\gamma_{0}(v_{1}^{2}+v_{2}^{2})\gg\delta, we have τdropτE\tau_{\rm drop}\ll\tau_{\rm E}. In this case there is a sudden drop in Lorentz factor on timescale τdrop\tau_{\rm drop} as the particle loses its perpendicular momentum, followed by a subsequent rise on timescale τE\tau_{E} as the particle gains parallel momentum. The minimal Lorentz factor is determined by the details of (58); in the special case δ1\delta\gg 1, the minimum occurs at approximately δ\sqrt{\delta}.

In a realistic field configuration, the exponential rise in Lorentz factor is ultimately cut off by the effects of non-uniform fields. If the conditions are right for Aristotelian equilibrium, there will be a transition around the equilibrium Lorentz factor. In order to understand this transition, we now study the LL equation near the Aristotelian equilibrium solution.

V.2 Near equilibrium solution

To study the dynamics near equilibrium, we adopt the same assumptions as of paper I, assuming time derivatives are perturbatively small (instead of dropping them entirely). Following the steps of Sec. IVB of that reference, except retaining time derivatives,333We also drop all terms involving ι\iota, a step that was justified in a later section of paper I. When time derivatives are dropped, Eqs. (69), (70), and (71) reduce, respectively, to Eqs.  (43), (54) and (55) of paper I with ι=0\iota=0. we arrive at three coupled equations for γ\gamma, vnv_{n} and vkv_{k}

dγdτ\displaystyle\frac{d\gamma}{d\tau} =|q|γE0m|q|γ3m(E02+B02)(vn2+vk2)\displaystyle=\frac{|q|\gamma E_{0}}{m}-\frac{|q|\gamma^{3}}{m\mathcal{E}}(E_{0}^{2}+B_{0}^{2})(v_{n}^{2}+v_{k}^{2}) (69)
dvndτ\displaystyle\frac{dv_{n}}{d\tau} =|q|B0mvk|q|E0m1+δδvnγκ\displaystyle=\frac{|q|B_{0}}{m}v_{k}-\frac{|q|E_{0}}{m}\frac{1+\delta}{\delta}v_{n}-\gamma\kappa (70)
dvkdτ\displaystyle\frac{dv_{k}}{d\tau} =|q|B0mvn|q|E0m1+δδvk.\displaystyle=-\frac{|q|B_{0}}{m}v_{n}-\frac{|q|E_{0}}{m}\frac{1+\delta}{\delta}v_{k}. (71)

We now express these quantities as small perturbations of their equilibrium values,

γ\displaystyle\gamma =Γ+γ¯\displaystyle=\Gamma+\bar{\gamma} (72)
vn\displaystyle v_{n} =Vn+v¯n\displaystyle=V_{n}+\bar{v}_{n} (73)
vk\displaystyle v_{k} =Vk+v¯k,\displaystyle=V_{k}+\bar{v}_{k}, (74)

where Γ,Vn,Vk\Gamma,V_{n},V_{k} are taken to be Eqs. (25)–(27), respectively. Regarding E0,B0,κE_{0},B_{0},\kappa as constants and linearizing in the barred quantities, we find

τEκdγ¯dτ\displaystyle\tau_{E}\kappa\frac{d\bar{\gamma}}{d\tau} =2κγ¯+2v¯n/τϵ2v¯k/τB\displaystyle=-2\kappa\bar{\gamma}+2\bar{v}_{n}/\tau_{\perp}-\epsilon 2\bar{v}_{k}/\tau_{B} (75)
dv¯ndτ\displaystyle\frac{d\bar{v}_{n}}{d\tau} =v¯n/τ+ϵv¯k/τBγ¯κ\displaystyle=-\bar{v}_{n}/\tau_{\perp}+\epsilon\bar{v}_{k}/\tau_{B}-\bar{\gamma}\kappa (76)
dv¯kdτ\displaystyle\frac{d\bar{v}_{k}}{d\tau} =ϵv¯n/τBv¯k/τ,\displaystyle=-\epsilon\bar{v}_{n}/\tau_{B}-\bar{v}_{k}/\tau_{\perp}, (77)

where the timescales τi\tau_{i} were introduced in Eqs. (63)–(65) and we have also written ϵ=sign(B0)\epsilon=\textrm{sign}(B_{0}). Defining

T\displaystyle T =ττE\displaystyle=\frac{\tau}{\tau_{E}} (78)
b\displaystyle b =ϵτEτB=B0E0\displaystyle=\epsilon\frac{\tau_{E}}{\tau_{B}}=\frac{B_{0}}{E_{0}} (79)
c\displaystyle c =τEτ=1+δδ>1,\displaystyle=\frac{\tau_{E}}{\tau_{\perp}}=\frac{1+\delta}{\delta}>1, (80)

this set of equations may also be written

dX¯dT=MX¯,\displaystyle\frac{d\bar{X}}{dT}=M\bar{X}, (81)

with

X¯=(γ¯κτEv¯nv¯k),M=(22c2b1cb0bc).\displaystyle\bar{X}=\begin{pmatrix}\bar{\gamma}\kappa\tau_{E}\\ \bar{v}_{n}\\ \bar{v}_{k}\end{pmatrix},\quad M=\begin{pmatrix}-2&2c&-2b\\ -1&-c&b\\ 0&-b&-c\\ \end{pmatrix}. (82)

Making the ansatz

X¯=X¯0eλT,\displaystyle\bar{X}=\bar{X}_{0}e^{\lambda T}, (83)

presents the eigenvalue problem MX¯0=λX¯0M\bar{X}_{0}=\lambda\bar{X}_{0} (here X¯0\bar{X}_{0} is a constant independent of TT). If λ(i)\lambda^{(i)} are the eigenvalues and X¯0(i)\bar{X}^{(i)}_{0} the associated eigenvectors (for i=1,2,3i=1,2,3), then the general solution is

X¯(T)=iCiRe[X¯0(i)eλ(i)T],\displaystyle\bar{X}(T)=\sum_{i}C_{i}\textrm{Re}[\bar{X}_{0}^{(i)}e^{\lambda^{(i)}T}], (84)

for three real constants CiC_{i}. The eigenvalues and eigenvectors depend only on E0E_{0} and B0B_{0} and can be found numerically for any given values of E0E_{0} and B0B_{0}.

We now show that the equilibrium is linearly stable, i.e., Re[λ(i)]<0\textrm{Re}[\lambda^{(i)}]<0. The eigenvalues λ(i)\lambda^{(i)} are the roots of the characteristic polynomial (defined with a minus sign for convenience),

f(λ)=det(MλI)\displaystyle f(\lambda)=-\textrm{det}(M-\lambda I)
=λ3+2(c+1)λ2+(b2+6c+c2)λ+4(b2+c2).\displaystyle=\lambda^{3}+2(c+1)\lambda^{2}+(b^{2}+6c+c^{2})\lambda+4(b^{2}+c^{2}). (85)

Notice that all the coefficients are real and positive. Thus ff is strictly positive for λ0\lambda\geq 0, implying that any real root is strictly negative. We have therefore proven stability in the case of real roots only. For complex roots, note that such roots must appear in a complex conjugate pair, since we consider a real polynomial. We may therefore write

f(λ)=(λλr)(λαiβ)(λα+iβ),\displaystyle f(\lambda)=(\lambda-\lambda_{r})(\lambda-\alpha-i\beta)(\lambda-\alpha+i\beta), (86)

with λr,α,β\lambda_{r},\alpha,\beta all real. Comparing the coefficient of λ2\lambda^{2} with the polynomial (V.2), we find that

2α=λr2(c+1).\displaystyle 2\alpha=-\lambda_{r}-2(c+1). (87)

However, we find that ff is negative at λ=2(c+1)\lambda=-2(c+1):

f(2(c+1))=2[(c+3)(c+2)c+b2(c1)]<0,\displaystyle f(-2(c+1))=-2\left[(c+3)(c+2)c+b^{2}(c-1)\right]<0, (88)

noting from Eq. (80) that c>1c>1. Since ff is positive for λ0\lambda\geq 0, there must be a real root between λ=2(c+1)\lambda=-2(c+1) and λ=0\lambda=0. In the case (86) we consider, λr\lambda_{r} is the single real root, so we have

2(c+1)<λr<0.\displaystyle-2(c+1)<\lambda_{r}<0. (89)

It then follows from (87) that α\alpha is strictly negative, completing the proof that Re[λ(i)]<0\textrm{Re}[\lambda^{(i)}]<0.

Perturbations away from equilibrium are thus exponentially damped. The qualitative behavior of approach to equilibrium is determined by the mode (or pair of complex conjugate modes) with smallest |Re[λ(i)]||\textrm{Re}[\lambda^{(i)}]|, which decays the slowest. If this mode has a non-zero imaginary part (i.e., it is part of a complex-conjugate pair), then oscillations will accompany the decay, with frequency equal to |Im[λ(i)]||\textrm{Im}[\lambda^{(i)}]|. Note also that the properties of the decay are insensitive to the sign of bb, since the characteristic polynomial (V.2) depends only on b2b^{2}.

It is interesting to ask for what parameter ranges such oscillations will be important. The discriminant of the cubic (V.2) is equal to

Δ\displaystyle\Delta =427[(3b2c2+10c4)3+\displaystyle=-\frac{4}{27}[(3b^{2}-c^{2}+10c-4)^{3}+ (90)
(c315c2+30c+9b2c45b28)2]\displaystyle(c^{3}-15c^{2}+30c+9b^{2}c-45b^{2}-8)^{2}] (91)

When Δ<0\Delta<0 there are complex-conjugate roots; otherwise all roots are real. Both signs occur over the parameter ranges b,c>1b\in\mathbb{R},c>1, so both behaviors are possible. If Δ0\Delta\geq 0, there will be no oscillations. If Δ<0\Delta<0 there will be oscillations, and these will be the dominant behavior if α<λr\alpha<\lambda_{r} in the notation of (86).

One tractable case is when δ1\delta\gg 1 so that c1c\approx 1. It is easy to see that the discriminant is negative for c=1c=1, so that there will be complex-conjugate roots. One can then check that these oscillatory modes decay more slowly than the pure exponential mode provided |b|2/3|b|\geq 2/\sqrt{3}, and that they decay with a similar order of magnitude even for |b|2/3|b|\leq 2/\sqrt{3}. The oscillations will thus always be important in the case δ1\delta\gg 1.

Some further details are helpful for interpreting this case. As a function of bb, the dominant decay time (real part of eigenvalue with real part closest to zero) ranges between 1-1 at b=0b=0 and 4-4 at |b||b|\to\infty, and the frequency of oscillations (imaginary part of complex eigenvalue) ranges between (approximately) 1.321.32 at b=0b=0 and infinity at large |b||b|, approaching linearly like |b||b| as b±b\to\pm\infty. Back in the physical time coordinate τ=τET\tau=\tau_{E}T, we see that decay will typically take several to tens of τE\tau_{E}, and the oscillation angular frequency will be at least 1.32τE11.32\tau_{E}^{-1}, and will be approximately |b|τE1=τB1|b|\tau_{E}^{-1}=\tau_{B}^{-1} at large |b||b|. It is notable that these oscillations exist even in the pure-E case (δ1,b=0\delta\gg 1,b=0) and are thus physically distinct from synchrotron motion in that limit.

Refer to caption
Figure 4: An example of entry into equilibrium. The field configuration is circular with E~0=1\tilde{E}_{0}=1 and B~0=10\tilde{B}_{0}=10. The particle begins at x~=(1,0,0)\tilde{x}=(1,0,0) with initial momenta p~=(2.32,8.28,3.97)×104\tilde{p}=(-2.32,8.28,3.97)\times 10^{4}. The particle quickly loses its perpendicular momentum on timescale τdrop104τE\tau_{\rm drop}\approx 10^{-4}\tau_{E} (68) before accelerating along the PND to near the equilibrium Lorentz factor over several τE\tau_{E} and finally approaching the equilibrium in a weakly damped exponential fashion. Along with the numerical trajectory, we show the corresponding analytical solutions in the uniform-field and near-equilibrium approximations. The uniform field solution (58)–(61) has 5 parameters E0,B0,viE_{0},B_{0},v_{i}, all of which are fixed by the initial data. The near-equilibrium solution (84) has six parameters parameters E0,B0,κ,C(i)E_{0},B_{0},\kappa,C^{(i)}. The first three are chosen according to the local field at the initial position and the last three are chosen by fitting with data from τ=15τE\tau=15\tau_{E} to the end of the evolution at τ=30τE\tau=30\tau_{E}. The oscillation period is approximately .61τE.61\tau_{E}, and the damping time scale is approximately 10τE10\tau_{E} (the exponential envelope is e0.1τ/τEe^{-0.1\tau/\tau_{E}}). Only the Lorentz factor was used for these fits; however, using the fit parameters, the perpendicular velocities vnv_{n} and vkv_{k} display a similar level of agreement.

V.3 Numerical examples

We now show two numerical examples illustrating the features explored in the previous subsections. We consider the case of parallel circular electric and magnetic fields, i.e., Eqs. (52) and (53) with h=0h=0. Since the electric and magnetic fields are parallel in the lab frame, no boost is required to relate the parallel-frame uniform field solution (Sec. V.1) to the lab-frame near-equilibrium solution (Sec. V.2). We always place the particle in a region of the circular field configuration where C41C_{4}\ll 1 and hence equilibrium is expected to occur.

First we consider the case where the particle begins with a large momentum perpendicular to the PND. Based on the analysis of the previous subsections, we expect the particle to sharply lose its perpendicular momentum on a timescale τdrop\tau_{\rm drop} (68), then gain parallel momentum exponentially on a timescale τE\tau_{E} (64) until it nears the equilibrium Lorentz factor, and finally approach equilibrium exponentially, with timescale and possible oscillations determined from τE,τB,τ\tau_{E},\tau_{B},\tau_{\perp} via the eigenvalue problem discussed in Sec. V.2. These expectations are confirmed by our numerical experiments; an example is shown in Fig. 4.

We next consider the case where the particle begins with a large momentum γγg\gamma\gg\gamma_{g} parallel to the PND. Here the uniform field approximation is not useful since the particle quickly reaches the region where the field line bends away from its motion. However, at this stage we can regard the particle as traveling through a new uniform field configuration with some perpendicular momentum, which will be removed by radiation reaction according to the intuition discussed in the first new paragraph below Eq. (65). In this way the particle will lose energy until it either enters equilibrium directly (“from above”) or finds itself in a uniform field configuration that will accelerate it back up to near-equilibrium conditions, after which it enters equilibrium “from below”. An example somewhat intermediate between these two cases is shown in Fig. 5.

Refer to caption
Figure 5: Entry into equilibrium after starting with large momentum parallel to the PND. The field setup is the same as Fig. 4, except that the particle starts with momentum entirely in the yy direction with Lorentz factor equal to 100 times the equilibrium value, γ0=100γg\gamma_{0}=100\gamma_{g}. The particle quickly loses energy until near the equilibrium value and then approaches equilibrium with a sinusoidally modulated exponential.

VI Numerical survey

Up until now, we have explored the properties of the Aristotelian equilibrium and the manner in which particles enter the equilibrium. We now turn to the general question of when particles will indeed enter the equilibrium. As reviewed in Sec. II.3, paper I identified five necessary conditions Ci1C_{i}\ll 1 for equilibrium to occur. We now provide numerical evidence that these conditions are indeed sufficient for it to occur, and we use the results to gain a more quantitative understanding of how well they must be satisfied.

Exploring all five conditions would be computationally intractable. However, given that C41C_{4}\ll 1 implies C11C_{1}\ll 1 and C21C_{2}\ll 1 outside of extremely finely tuned field configurations (Eqs. (35) and (36)), we can safely ignore C1C_{1} and C2C_{2}. The case where C31C_{3}\ll 1 is violated is potentially interesting for helical fields (as occur, e.g., in relativistic jets), and we found that equilibrium does not occur in this case (Sec. IV). Violations of the quasi-static assumption C51C_{5}\ll 1 are certainly interesting (e.g., for laser fields), but outside the scope of this paper. Instead, we will pick field configurations where C3=0C_{3}=0 and C5=0C_{5}=0 (exactly torsion-free and static, respectively) and explore the role of C4C_{4} in determining whether equilibrium occurs.

VI.1 Circular fields and the role of η\eta

Eq. (34) defined a quantity η\eta that appears in the conditions for equilibrium. For generic fields, η1\eta\approx 1 and factors of η\eta can be dropped. To illustrate a situation where η\eta cannot be dropped, consider a purely azimuthal field configuration with constant parallel electric and magnetic fields. The field lines and PNDs are just circles of radius ρ=x2+y2\rho=\sqrt{x^{2}+y^{2}}. Since ρ=n\vec{\nabla}\rho=\vec{n}, where n\vec{n} is the Frenet-Serret normal direction to the curve, η\eta can be calculated as

η=|vρ|=|vn|.\displaystyle\eta=|\vec{v}\cdot\nabla\rho|=|v_{n}|. (92)

This quantity is small in equilibrium since |vn|1|v_{n}|\ll 1 by the assumption of motion along a PND. The small size of η\eta arises because the field strength and radius of curvature are both constant along the PND direction \vec{\ell}, a finely tuned arrangement. From Eqs. (26) and (25), we have

|vn|2=23RE0(1+δ)2.\displaystyle|v_{n}|^{2}=\frac{2}{3}\frac{\mathcal{R}}{R}\sqrt{\frac{E_{0}}{\mathcal{E}}}(1+\delta)^{2}. (93)

The condition (37) then becomes

R2E0(1+δ)22,\displaystyle R^{2}E_{0}\gg(1+\delta)^{2}\mathcal{R}^{2}\mathcal{E}, (94)

where we drop a factor of 2/32/3.

Eq. (94) is a necessary condition for equilibrium to occur. To check whether it is also sufficient, we simulated a large number of trajectories with different field configuration parameters and particle initial conditions. Specifically, we fixed B~0=0.1\tilde{B}_{0}=0.1 and chose the particle to begin on the xx axis, choosing the other parameters randomly from uniform distributions in the ranges log10E~0(4,0)\log_{10}\tilde{E}_{0}\in(-4,0) for the log of the field strength, γ(1,γg)\gamma\in(1,\gamma_{g}) for the initial Lorentz factor, θ(0,π)\theta\in(0,\pi) and ϕ(0,2π)\phi\in(0,2\pi) for the initial direction of motion (where θ,ϕ\theta,\phi are spherical coordinates on the space of velocities), and log10x(3,0)\log_{10}x\in(-3,0) for the log of the initial position. The initial radius of curvature R~\tilde{R} is just xx, so we sample an initial range log10R~(3,0)\log_{10}\tilde{R}\in(-3,0).

For each run of the code we evolve for a maximum time of τmax=(6logγg)τE\tau_{\rm max}=(6\log\gamma_{g})\tau_{E}, which is sufficient for the particle to enter equilibrium if it is destined to do so.444According to Eq. (67), the time for a particle to be accelerated to γg\gamma_{g} is of order τElogγg\tau_{E}\log\gamma_{g}. For the circular field E0E_{0} and hence τE\tau_{E} is constant; however, for other field configurations we update the maximum allowed run time after each time step to use the local value of E0E_{0}. We also examined a selection of the trajectories that did not enter equilibrium in this time and evolved them for longer, finding that indeed they never enter equilibrium. At any given time in the trajectory, the particle is considered to have entered equilibrium if |(γγg)|/γg<3%\langle|(\gamma-\gamma_{g})|/\gamma_{g}\rangle<3\%, where the average \langle...\rangle is calculated over the last 20%20\% of the computed trajectory, using the local value of γg\gamma_{g}. Once a particle enters equilibrium, we record the local electric field E0E_{0} and curvature radius RR and terminate the run. (If the particle never enters equilibrium, we make no corresponding record.) Fig. 6 shows the values of EE and RR at which equilibrium occurred in our random sample, showing clearly that the condition (94) indeed controls whether equilibrium is obtained. We find that the left-hand-side must be approximately 15 times larger than the right-hand side (red line in the figure) for equilibrium to occur.

When E0B0E_{0}\gg B_{0}, we have δ/E01\delta\approx\mathcal{E}/E_{0}\gg 1, and this condition reduces to the original Gruzinov condition (21). (This agreement is accidental, due to the specific form of η\eta for this field configuration.) By contrast, when E0B0E_{0}\lesssim B_{0}, the condition (94) remains distinct from the Gruzinov condition (21). This behavior is seen clearly in Fig. 6. The Gruzinov condition is necessary, but not sufficient, in this special case. The correct condition for entry into equilibrium is the modified condition (37).

Refer to caption
Figure 6: Values of the local electric field and PND curvature radius at entry into equilibrium in a large parameter survey. In this circular field configuration, equilibrium is expected to occur when N=R2E0/[(1+δ)22]1N=R^{2}E_{0}/[(1+\delta)^{2}\mathcal{R}^{2}\mathcal{E}]\gg 1 [Eq. (94)]. The numerics validate this condition: the red line is the curve N=15N=15.

VI.2 More general field configurations

The circular field is a special case that cleanly illustrates the role of η\eta in the condition C41C_{4}\ll 1 (32) for entry into equilibrium. In order to test the condition more generally, we consider two more kinds of field configuration. The “ellipse” field configuration simply changes the shape of the field lines to ellipses instead of circles, while keeping everything else the same. The “separate center” field configuration consists of circular electric and magnetic field lines with equal field strengths E0=B0E_{0}=B_{0} but with the center of the circles shifted by a distance dd. We randomly varied the field strength and center-distance while also randomly choosing initial conditions as before.

The results of these surveys are shown along with the circular case in Fig. 7, demonstrating clearly that the condition C41C_{4}\ll 1 is necessary and sufficient for equilibrium to occur. The precise value of C4C_{4} required depends on the field configuration, ranging from 0.1\sim 0.1 to 0.01\sim 0.01 for the cases considered here.

Refer to caption
Figure 7: Validity of the main condition for entry into equilibrium [C41C_{4}\ll 1, (32) or (37)] in three numerical parameter surveys. The colored dots correspond to the local field properties where a particle in the corresponding survey entered equilibrium. Lines of constant C4C_{4} have slope 1-1 on this plot and the yy-intercept is the log of 1/C421/C_{4}^{2}. For each field configuration, the edge of the region of equilibria clearly has the predicted slope of 1-1. We have drawn approximate reference lines for this edge to guide help guide the eye. Entry to equilibrium occurs when C45%C_{4}\lesssim 5\%.

VII Summary of results

We have provided a detailed understanding of the entry into Aristotelian equilibrium, identifying the relevant timescales, giving analytical descriptions where possible, and showing that numerical simulations match the predicted behavior. We showed analytically that the equilibrium is linearly stable and identified the presence of oscillations at entry for a large region of parameter space. We performed numerical parameter surveys exploring the conditions for equilibrium to occur. Combined with the results of paper I, this study provides strong evidence that the conditions (29)–(33) are necessary and sufficient for Eqs. (25)–(27) to describe the motion of a charged particle. This provides a solid foundation for using the Aristotelian approximation in astrophysical modeling.

Acknowledgements

This work was supported in part by NSF grant PHY–1752809, and NSF Grants PHY-1912619 and PHY-2145421, to the University of Arizona.

Appendix A Numerical Method

Our numerical scheme is based on the implicit 4th order Runge-Kutta-Nyström method. We first review this method before presenting an improved iteration method and an adaptive timestep version that we also used in some cases.

For a second-order ordinary differential equation

x¨α=fα(t,xα,x˙α),\displaystyle\ddot{x}^{\alpha}=f^{\alpha}(t,x^{\alpha},\dot{x}^{\alpha}), (95)

the implicit 4th order Runge-Kutta-Nyström method can be expressed as follows. First fix a time step hh. If xnαx_{n}^{\alpha} and x˙nα\dot{x}_{n}^{\alpha} represent the value and derivative at time tnt_{n}, then the values at the next step tn+1=tn+ht_{n+1}=t_{n}+h are obtained by

xn+1α\displaystyle x_{n+1}^{\alpha} =xnα+hx˙nα+h2bikiα\displaystyle=x_{n}^{\alpha}+h\dot{x}_{n}^{\alpha}+h^{2}b_{i}k^{\alpha}_{i} (96)
x˙n+1α\displaystyle\dot{x}_{n+1}^{\alpha} =x˙nα+haikiα,\displaystyle=\dot{x}_{n}^{\alpha}+ha_{i}k^{\alpha}_{i}, (97)

where aia_{i} and bib_{i} are

ai\displaystyle a_{i} =(12,12)\displaystyle=\left(\frac{1}{2},\ \frac{1}{2}\right) (98)
bi\displaystyle b_{i} =(14+312,14312),\displaystyle=\left(\frac{1}{4}+\frac{\sqrt{3}}{12},\ \frac{1}{4}-\frac{\sqrt{3}}{12}\right), (99)

and kiαk^{\alpha}_{i} must satisfy

kiα=fα\displaystyle k^{\alpha}_{i}=f^{\alpha} (tn+cih,xnα+cihx˙nα+h2Bijkjα,x˙nα+hAijkjα).\displaystyle\big{(}t_{n}+c_{i}h,x^{\alpha}_{n}+c_{i}h\dot{x}_{n}^{\alpha}+h^{2}B_{ij}k^{\alpha}_{j},\dot{x}_{n}^{\alpha}+hA_{ij}k^{\alpha}_{j}\big{)}. (100)

In these expressions, repeated indices are summed. Here cic_{i} is the vector

ci=(123612+36)\displaystyle c_{i}=\begin{pmatrix}\frac{1}{2}-\frac{\sqrt{3}}{6}\\ \frac{1}{2}+\frac{\sqrt{3}}{6}\end{pmatrix} (101)

and AijA_{ij} and BijB_{ij} are the matrices

Aij\displaystyle A_{ij} =(14143614+3614)\displaystyle=\begin{pmatrix}\frac{1}{4}&\frac{1}{4}-\frac{\sqrt{3}}{6}\\ \frac{1}{4}+\frac{\sqrt{3}}{6}&\frac{1}{4}\end{pmatrix} (102)
Bij\displaystyle B_{ij} =(136536312536+312136).\displaystyle=\begin{pmatrix}\frac{1}{36}&\frac{5}{36}-\frac{\sqrt{3}}{12}\\ \frac{5}{36}+\frac{\sqrt{3}}{12}&\frac{1}{36}\end{pmatrix}. (103)

Iteration method

Eq. (100) can be solved by a fixed point iteration method as follows. The initial values of kiαk^{\alpha}_{i} are taken to be

(kiα)0=fα(tn,xnα,x˙nα)(i=1,2).\displaystyle(k^{\alpha}_{i})^{0}=f^{\alpha}(t_{n},x^{\alpha}_{n},\dot{x}_{n}^{\alpha})\ \ (i=1,2). (104)

We then iteratively improve the guess by calculating

(kiα)N+1=fα\displaystyle(k^{\alpha}_{i})^{N+1}=f^{\alpha} (tn+cih,\displaystyle\big{(}t_{n}+c_{i}h,
xnα+cihx˙nα+h2Bij(kjα)N\displaystyle x^{\alpha}_{n}+c_{i}h\dot{x}_{n}^{\alpha}+h^{2}B_{ij}(k^{\alpha}_{j})^{N}
x˙nα+Aij(kjα)N).\displaystyle\dot{x}_{n}^{\alpha}+A_{ij}(k^{\alpha}_{j})^{N}\big{)}. (105)

However, for large Lorentz factors we found that this iteration method sometimes converged very slowly or got stuck in a limit cycle. In these cases we instead used overrelaxation with the secant method,

yn\displaystyle y_{n} =w[yn1F(yn1)yn1yn2F(yn1)F(yn2)]\displaystyle=w\left[y_{n-1}-F(y_{n-1})\frac{y_{n-1}-y_{n-2}}{F(y_{n-1})-F(y_{n-2})}\right] (106)
+(1w)yn1,\displaystyle+(1-w)y_{n-1}, (107)

where yN=(kiα)Ny_{N}=(k_{i}^{\alpha})^{N}, Fiα(kiα)=fα(kiα)kiαF^{\alpha}_{i}(k_{i}^{\alpha})=f^{\alpha}(k^{\alpha}_{i})-k_{i}^{\alpha} and w[0,1]w\in[0,1] is the weight. We chose w=0.05w=0.05. At each time step we try the simple iteration method first, jumping to the Secant method only if the simple iteration fails to reach a given tolerance (we chose fractional error of 101010^{-10}) within a fixed number of iterations (we chose 10310^{3}).

A.1 Adaptive time step

For most portions of a given evolution the main timescales are τE\tau_{E} and τB\tau_{B}, defined in Eqs. (64) and (63). However, for some initial conditions (e.g., Fig. 4) there can be abrupt changes in Lorentz factor on the much smaller timescale τdrop\tau_{\rm drop} defined in Eq. (68). In most cases we use an adaptive time step scheme, beginning with h=min(τB,τE)×1%h=\rm{min}(\tau_{B},\tau_{E})\times 1\% and updating as follows.

We focus on the Lorentz factor as a simple scalar representative of the solution. Suppose we are at time tt in the evolution and consider the value at time t+2ht+2h, where hh is the current step size. We can compute this either by taking a single step of size 2h2h or by taking two steps of size hh. We will denote the resulting values for γ\gamma by γnum(2h)\gamma_{\rm num}^{(2h)} and γnum(h)\gamma_{\rm num}^{(h)}, respectively. Since our method has fourth-order accuracy, these are related to the true value γtrue\gamma_{\rm true} by

γnum(h)\displaystyle\gamma_{\rm num}^{(h)} γtrue(t+2h)+ϕh4\displaystyle\approx\gamma_{\rm true}(t+2h)+\phi h^{4} (108)
γnum(2h)\displaystyle\gamma_{\rm num}^{(2h)} γtrue(t+2h)+16ϕh4,\displaystyle\approx\gamma_{\rm true}(t+2h)+16\phi h^{4}, (109)

where ϕ\phi is some unknown constant. We can estimate ϕ\phi by solving,

ϕγnum(2h)γnum(h)15h4.\displaystyle\phi\approx\frac{\gamma_{\rm num}^{(2h)}-\gamma_{\rm num}^{(h)}}{15h^{4}}. (110)

Suppose we instead consider a new time step h0h_{0} and evolve forward one step to γnum(h0)\gamma^{(h_{0})}_{\rm num}. Now we have

γnum(h0)γtrue(t+2h)+ϕh04,\displaystyle\gamma^{(h_{0})}_{\rm num}\approx\gamma_{\rm true}(t+2h)+\phi h_{0}^{4}, (111)

If we want to achieve an accuracy of ϵ=|(γnum(h0)γtrue)/γtrue|\epsilon=\left|(\gamma_{\rm num}^{(h_{0})}-\gamma_{\rm true})/\gamma_{\rm true}\right|, the time step we should use satisfies

h04=ϵγnum(h)|ϕ|.\displaystyle h_{0}^{4}=\frac{\epsilon\gamma_{\rm num}^{(h)}}{|\phi|}. (112)

Using the formula (110) for ϕ\phi, we conclude that an appropriate time step is

h0=ζh(15ϵγnum(h)|γnum(2h)γnum(h)|)1/4.\displaystyle h_{0}=\zeta h\left(\frac{15\epsilon\gamma_{\rm num}^{(h)}}{|\gamma_{\rm num}^{(2h)}-\gamma_{\rm num}^{(h)}|}\right)^{1/4}. (113)

The factor of ζ<1\zeta<1 is to guarantee that h0h_{0} is smaller than that which is expected to exactly achieve the desired error tolerance ϵ\epsilon, which corresponds to ζ=1\zeta=1. We choose ζ=(14/15)1/4\zeta=(14/15)^{1/4} in our code, and ϵ=106\epsilon=10^{-6}.

At each step in the evolution we calculate the candidate new time step h0h_{0} according to (113). Before adopting this as the new time step we consider two potential adjustments. First, we ensure that hh does not change by more than a factor of two. That is, if h0h_{0} is larger than 2h2h, then we use 2h2h instead; similarly, if h0h_{0} is smaller than h/2h/2, we use h/2h/2 instead. Finally, we ensure that the candidate new time step satisfies the condition for the convergence of fixed point iteration, namely that the spectral radius of the (six-dimensional) Jacobian matrix of fiα(kjβ)f^{\alpha}_{i}(k^{\beta}_{j}) is strictly less than 11, i.e., the maximum of the absolute values of the eigenvalues of this matrix is less than 1. (Here fiαf^{\alpha}_{i} denotes the RHS of (100).) If this test fails, then we divide the step size in half and try again, iterating until a step size satisfying the condition has been found.

Refer to caption
Figure 8: Test demonstrating our code’s error convergence at 4th order. The black line represents the linear function with slope of 4; the equation given in the plot.

A.2 Convergence test

We performed a convergence test for the code using the uniform field setup, because it has exact analytical solutions. We choose the field strengths as E~0=0.1,B~0=1\tilde{E}_{0}=0.1,\tilde{B}_{0}=1. The initial value we used is p0~={100,400,300}\tilde{\vec{p_{0}}}=\{100,400,-300\}. The Lorentz factor Eq. (58) at τ=2τE\tau=2\tau_{E} was used as the reference value. The code was executed at different time steps hh. The fractional difference:

ϵ=|γnumericγanalyticγanalytic|\displaystyle\epsilon=\left|\frac{\gamma_{\rm numeric}-\gamma_{\rm analytic}}{\gamma_{\rm analytic}}\right| (114)

was then calculated. The result of the convergence test is shown in Fig. 8. It is clear that our code exhibits 4th-order convergence.

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