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1807.07897v2.Another_view_on_Gilbert_damping_in_two_dimensional_ferromagnets.pdf | Another view on Gilbert damping in two-dimensional
ferromagnets
Anastasiia A. Pervishko1, Mikhail I. Baglai1,2, Olle Eriksson2,3, and Dmitry Yudin1
1ITMO University, Saint Petersburg 197101, Russia
2Department of Physics and Astronomy, Uppsala University, Box 516, SE-75 121 Uppsala, Sweden
3School of Science and Technology, ¨Orebro University, SE-701 82 ¨Orebro, Sweden
ABSTRACT
A keen interest towards technological implications of spin-orbit driven magnetization dynamics requests a proper theoretical
description, especially in the context of a microscopic framework, to be developed. Indeed, magnetization dynamics is so far
approached within Landau-Lifshitz-Gilbert equation which characterizes torques on magnetization on purely phenomenological
grounds. Particularly, spin-orbit coupling does not respect spin conservation, leading thus to angular momentum transfer to
lattice and damping as a result. This mechanism is accounted by the Gilbert damping torque which describes relaxation of the
magnetization to equilibrium. In this study we work out a microscopic Kubo-St ˇreda formula for the components of the Gilbert
damping tensor and apply the elaborated formalism to a two-dimensional Rashba ferromagnet in the weak disorder limit. We
show that an exact analytical expression corresponding to the Gilbert damping parameter manifests linear dependence on the
scattering rate and retains the constant value up to room temperature when no vibrational degrees of freedom are present
in the system. We argue that the methodology developed in this paper can be safely applied to bilayers made of non- and
ferromagnetic metals, e.g., CoPt.
Introduction
In spite of being a mature field of research, studying magnetism and spin-dependent phenomena in solids still remains one of
the most exciting area in modern condensed matter physics. In fact, enormous progress in technological development over the
last few decades is mainly held by the achievements in spintronics and related fields1–11. However the theoretical description of
magnetization dynamics is at best accomplished on the level of Landau-Lifshitz-Gilbert (LLG) equation that characterizes
torques on the magnetization. In essence, this equation describes the precession of the magnetization, mmm(rrr;t), about the effective
magnetic field, HHHeff(rrr;t), created by the localized moments in magnetic materials, and its relaxation to equilibrium. The latter,
known as the Gilbert damping torque12, was originally captured in the form ammm¶tmmm, where the parameter adetermines the
relaxation strength, and it was recently shown to originate from a systematic non-relativistic expansion of the Dirac equation13.
Thus, a proper microscopic determination of the damping parameter a(or, the damping tensor in a broad sense) is pivotal to
correctly simulate dynamics of magnetic structures for the use in magnetic storage devices14.
From an experimental viewpoint, the Gilbert damping parameter can be extracted from ferromagnetic resonance linewidth
measurements15–17or established via time-resolved magneto-optical Kerr effect18, 19. In addition, it was clearly demonstrated
that in bilayer systems made of a nonmagnetic metal (NM) and a ferromagnet material (FM) the Gilbert damping is drastically
enhanced as compared to bulk FMs20–24. A strong magnetocrystalline anisotropy, present in CoNi, CoPd, or CoPt, hints
unambiguously for spin-orbit origin of the intrinsic damping. A first theoretical attempt to explain the Gilbert damping
enhancement was made in terms of sdexchange model in Ref.25. Within this simple model, magnetic moments associated with
FM layer transfer angular momentum via interface and finally dissipate. Linear response theory has been further developed
within free electrons model26, 27, while the approach based on scattering matrix analysis has been presented in Refs.28, 29. In
the latter scenario spin pumping from FM to NM results in either backscattering of magnetic moments to the FM layer or
their further relaxation in the NM. Furthermore, the alternative method to the evaluation of the damping torque, especially
in regard of first-principles calculations, employs torque-correlation technique within the breathing Fermi surface model30.
While a direct estimation of spin-relaxation torque from microscopic theory31, or from spin-wave spectrum, obtained on the
basis of transverse magnetic field susceptibility32, 33, are also possible. It is worth mentioning that the results of first-principles
calculations within torque-correlation model34–38and linear response formalism39, 40reveal good agreement with experimental
data for itinerant FMs such as Fe, Co, or Ni and binary alloys.
Last but not least, an intensified interest towards microscopic foundations of the Gilbert parameter ais mainly attributed
to the role the damping torque is known to play in magnetization reversal41. In particular, according to the breathing Fermi
surface model the damping stems from variations of single-particle energies and consequently a change of the Fermi surfacearXiv:1807.07897v2 [cond-mat.mes-hall] 21 Nov 2018z
yx
FM
NMFigure 1. Schematic representation of the model system: the electrons at the interface of a bilayer, composed of a
ferromagnetic (FM) and a nonmagnetic metal (NM) material, are well described by the Hamiltonian (1). We assume the
magnetization of FM layer depicted by the red arrow is aligned along the zaxis.
shape depending on spin orientation. Without granting any deep insight into the microscopic picture, this model suggests that
the damping rate depends linearly on the electron-hole pairs lifetime which are created near the Fermi surface by magnetization
precession. In this paper we propose an alternative derivation of the Gilbert damping tensor within a mean-field approach
according to which we consider itinerant subsystem in the presence of nonequilibrium classical field mmm(rrr;t). Subject to the
function mmm(rrr;t)is sufficiently smooth and slow on the scales determined by conduction electrons mean free path and scattering
rate, the induced nonlocal spin polarization can be approached within a linear response, thus providing the damping parameter
due to the itinerant subsystem. In the following, we provide the derivation of a Kubo-St ˇreda formula for the components of
the Gilbert damping tensor and illustrate our approach for a two-dimensional Rashba ferromagnet, that can be modeled by
the interface between NM and FM layers. We argue that our theory can be further applied to identify properly the tensorial
structure of the Gilbert damping for more complicated model systems and real materials.
Microscopic framework
Consider a heterostructure made of NM with strong spin-orbit interaction covered by FM layer as shown in Fig. 1, e.g., CoPt.
In general FMs belong to the class of strongly correlated systems with partially filled dorforbitals which are responsible
for the formation of localized magnetic moments. The latter can be described in terms of a vector field mmm(rrr;t)referred to as
magnetization, that in comparison to electronic time and length scales slowly varies and interacts with an itinerant subsystem.
At the interface (see Fig. 1) the conduction electrons of NM interact with the localized magnetic moments of FM via a certain
type of exchange coupling, sdexchange interaction, so that the Hamiltonian can be written as
h=p2
2m+a(sssppp)z+sssMMM(rrr;t)+U(rrr); (1)
where first two terms correspond to the Hamiltonian of conduction electrons, on condition that the two-dimensional momentum
ppp= (px;py) =p(cosj;sinj)specifies electronic states, mis the free electron mass, astands for spin-orbit coupling strength,
while sss= (sx;sy;sz)is the vector of Pauli matrices. The third term in (1) is responsible for sdexchange interaction with the
exchange field MMM(rrr;t) =Dmmm(rrr;t)aligned in the direction of magnetization and Ddenoting sdexchange coupling strength. We
have also included the Gaussian disorder, the last term in Eq. (1), which represents a series of point-like defects, or scatterers,
hU(rrr)U(rrr0)i= (mt) 1d(rrr rrr0)with the scattering rate t(we set ¯h=1throughout the calculations and recover it for the final
results).
Subject to the norm of the vector jmmm(rrr;t)j=1remains fixed, the magnetization, in broad terms, evolves according to (see,
e.g., Ref.42),
¶tmmm=fffmmm=gHHHeffmmm+csssmmm; (2)
where fffcorresponds to so-called spin torques. The first term in fffdescribes precession around the effective magnetic field
HHHeffcreated by the localized moments of FM, whereas the second term in (2) is determined by nonequilibrium spin density of
conduction electrons of NM at the interface, sss(rrr;t). It is worth mentioning that in Eq. (2) the parameter gis the gyromagnetic
ratio, while c= (gmB=¯h)2m0=dis related to the electron g factor ( g=2), the thickness of a nonmagnetic layer d, with mBand
m0standing for Bohr magneton and vacuum permeability respectively. Knowing the lesser Green’s function, G<(rrrt;rrrt), one
can easily evaluate nonequilibrium spin density of conduction electrons induced by slow variation of magnetization orientation,
sm(rrr;t) = i
2Tr
smG<(rrrt;rrrt)
=Qmn¶tmn+:::; (3)
2/8where summation over repeated indexes is assumed ( m;n=x;y;z). The lesser Green’s function of conduction electrons
can be represented as G<=
GK GR+GA
=2, where GK,GR,GAare Keldysh, retarded, and advanced Green’s functions
respectively.
Kubo-St ˇreda formula
We further proceed with evaluating Qmnin Eq. (3) that describes the contribution to the Gilbert damping due to conduction
electrons. In the Hamiltonian (1) we assume slow dynamics of the magnetization, such that approximation MMM(rrr;t)
MMM+(t t0)¶tMMMwith MMM=MMM(rrr;t0)is supposed to be hold with high accuracy,
H=p2
2m+a(sssppp)z+sssMMM+U(rrr)+(t t0)sss¶tMMM; (4)
where first four terms in the right hand side of Eq. (4) can be grouped into the Hamiltonian of a bare system, H0, which
coincides with that of Eq. (1), provided by the static magnetization configuration MMM. In addition, the expression (4) includes the
time-dependent term V(t)explicitly, as the last term. In the following analysis we deal with this in a perturbative manner. In
particular, the first order correction to the Green’s function of a bare system induced by V(t)is,
dG(t1;t2) =Z
CKdtZd2p
(2p)2gppp(t1;t)V(t)gppp(t;t2); (5)
where the integral in time domain is taken along a Keldysh contour, while gppp(t1;t2) =gppp(t1 t2)[the latter accounts for the
fact that in equilibrium correlation functions are determined by the relative time t1 t2] stands for the Green’s function of the
bare system with the Hamiltonian H0in momentum representation. In particular, for the lesser Green’s function at coinciding
time arguments t1=t2t0, which is needed to evaluate (3), one can write down,
dG<(t0;t0) =i
2¥Z
¥de
2pZd2p
(2p)2n
gR
pppsm¶g<
ppp
¶e ¶gR
ppp
¶esmg<
ppp+g<
pppsm¶gA
ppp
¶e ¶g<
ppp
¶esmgA
pppo
¶tMm; (6)
where m=x;y;z, while gR,gA, and g<are the bare retarded, advanced, and lesser Green’s functions respectively. To derive the
expression (6) we made use of Fourier transformation gppp=Rd(t1 t2)gppp(t1 t2)eie(t1 t2)and integration by parts.
To finally close up the derivation we employ the fluctuation-dissipation theorem according to which g<(e) = [gA(e)
gR(e)]f(e), where f(e) = [eb(e m)+1] 1stands for the Fermi-Dirac distribution with the Fermi energy m. Thus, nonequi-
librium spin density of conduction electrons (3) within linear response theory is determined by Qmn=Q(1)
mn+Q(2)
mn, where
Q(1)
mn=1
4Trh
sm¥Z
¥de
2pZd2p
(2p)2n¶gR
ppp
¶esngR
ppp gR
pppsn¶gR
ppp
¶e+gA
pppsn¶gA
ppp
¶e ¶gA
ppp
¶esngA
pppo
f(e)i
; (7)
which involves the integration over the whole Fermi sea, and
Q(2)
mn=1
4Trh
sm¥Z
¥de
2p
¶f(e)
¶eZd2p
(2p)2n
gR
pppsngR
ppp+gA
pppsngA
ppp 2gR
pppsngA
pppoi
; (8)
which selects the integration in the vicinity of the Fermi level. Generally, the form of Qmnbelongs to the class of Kubo-St ˇreda
formula, and, in essence, represents the response to the external stimulus in the form of ¶tMn. We can immediately establish a
quantitative agreement between the result given by Eq. (8) and the previous studies within a Kubo formalism40, 43–46which allow
a direct estimation within the framework of disordered alloys. Formally, the expression (7) corresponds to the so-called St ˇreda
contribution. Such a term was originally identified in Ref.47when studying quantum-mechanical conductivity. Notably, in
Eq. (7) each term represents the product of either retarded or advanced Green’s functions. In this case the poles of the integrand
function are positioned on the same side of imaginary plane, making disorder correction smaller in the weak disorder limit (see,
e.g., Ref.48). Meanwhile, having no classical analog this contribution appears to be important enough when the spectrum of the
system is gapped and the Fermi energy is placed exactly in the gap47. It is worth mentioning that the contribution due to Eq. (7)
has never been discussed in this context before. In the meantime, Kubo-St ˇreda expression for the components of the Gilbert
damping tensor has been addressed from the perspective of first-principles calculations49and current-induced torques50.
3/8Results and discussion
Let us apply the formalism developed in the previous section to a prototypical model: we work out the Gilbert damping tensor
for a Rashba ferromagnet with the magnetization mmm=zzzaligned along the zaxis. In the limit of weak disorder the Green’s
function of a bare system can be expressed as
gR
ppp(e) =
e H0 SR 1=e eppp+id+a(sssppp)z+(D+ih)sz
(e eppp+id)2 a2p2 (D+ih)2; (9)
where eppp=p2=(2m)is the electron kinetic energy. We put the self-energy SRdue to scattering off scalar impurities into Eq. (9),
which is determined from SR= i(d hsz)(see, e.g., Ref.51). In particular, for jej>jDjwe can establish that d=1=(2t)
andh=0 in the weak disorder regime to the leading order.
Without loss of generality, in the following we restrict the discussion to the regime m>jDj, which is typically satisfied with
high accuracy in experiments. As previously discussed, the contribution owing to the Fermi sea, Eq. (7), can in some cases be
ignored, while doing the momentum integral in Eq. (8) results in,
1
mtZd2p
(2p)2gR
ppp(e)sssgA
ppp(e) =D2
D2+2ersss+Dd
D2+2er(ssszzz)+D2 er
D2+2er(ssszzz)zzz; (10)
where r=ma2. Thus, thanks to the factor of delta function d(e m) = ¶f(e)=¶e, to estimate Q(2)
mnat zero temperature one
should put e=min Eq. (10). As a result, we obtain,
Q(2)
mn= 1
4pm
D2+2mr0
@2tmr D 0
D 2tmr 0
0 0 2 tD21
A: (11)
Meanwhile, to properly account the correlation functions which appear when averaging over disorder configuration one has
to evaluate the so-called vertex corrections, which from a physical viewpoint makes a distinction between disorder averaged
product of two Green’s function, hgRsngAidis, and the product of two disorder averaged Green’s functions, hgRidissnhgAidis, in
Eq. (8). Thus, we further proceed with identifying the vertex part by collecting the terms linear in dexclusively,
GGGs=Asss+B(ssszzz)+C(ssszzz)zzz; (12)
provided A=1+D2=(2er),B= (D2+2er)Dd=(D2+er)2, and C=D2=(2er) er=(D2+er). To complete our derivation
we should replace snin Eq. (8) by Gs
nand with the aid of Eq. (10) we finally derive at e=m,
Q(2)
mn=0
@Qxx Qxy 0
QxyQxx
0 0 mtD2=(4pmr)1
A: (13)
We defined Qxx= mtmr=[2p(D2+mr)]andQxy= mD(D2+2mr)=[4p(D2+mr)2], which unambiguously reveals that
account of vertex correction substantially modifies the results of the calculations. With the help of Eqs. (3), (11), and (13) we
can write down LLG equation. Slight deviation from collinear configurations are determined by xandycomponents ( mxand
myrespectively, so that jmxj;jmyj1). The expressions (11) and (13) immediately suggest that the Gilbert damping at the
interface is a scalar, aG,
¶tmmm=˜gHHHeffmmm+aGmmm¶tmmm; (14)
where the renormalized gyromagnetic ratio and the damping parameter are,
˜g=g
1+cDQxy;aG= cDQxx
1+cDQxy cDQxx: (15)
In the latter case we make use of the fact that mc1for the NM thickness d100mm — 100 nm. In Eq. (14) we have
redefined the gyromagnetic ratio g, but we might have renormalized the magnetization instead. From physical perspective,
this implies the fraction of conduction electrons which become associated with the localized moment owing to sdexchange
interaction. With no vertex correction included one obtains
aG=mc
2p¯htmrD
D2+2mr; (16)
4/8t=1ns
t=10ns
D=0.2meV
D=0.3meV
D=1meV
501001502002503000.0000.0010.0020.0030.004
T,KaGFigure 2. Gilbert damping, obtained from numerical integration of Eq. (8), shows almost no temperature dependence
associated with thermal redistribution of conduction electrons. Dashed lines are plotted for D=1meV for t=1andt=10ns,
whereas solid lines stand for D=0:2, 0:3, and 1 meV for t=100 ns.
while taking account of vertex correction gives rise to a different result,
aG=mc
2p¯htmrD
D2+mr: (17)
To provide a quantitative estimate of how large the St ˇreda contribution in the weak disorder limit is, on condition that m>jDj,
we work out Q(1)
mn. Using ¶gR=A(e)=¶e= [gR=A(e)]2and the fact that trace is invariant under cyclic permuattaions we conclude
that only off-diagonal components m6=ncontribute. While the direct evaluation results in Q(1)
xy=3mD=[2(D2+2mr)]in the
clean limit. It has been demonstrated that including scattering rates dandhdoes not qualitatively change the results, leading to
some smearing only52.
Interestingly, within the range of applicability of theory developed in this paper, the results of both Eqs. (16) and (17)
depend linearly on scattering rate, being thus in qualitative agreement with the breathing Fermi surface model. Meanwhile, the
latter does not yield any connection to the microscopic parameters (see, e.g., Ref.53for more details). To provide with some
quantitative estimations in our simulations we utilize the following set of parameters. Typically, experimental studies based on
hyperfine field measurements equipped with DFT calculations54reveal the sdStoner interaction to be of the order of 0.2 eV ,
while the induced magnetization of s-derived states equals 0.002–0.05 (measured in the units of Bohr magneton, mB). Thus,
the parameter of sdexchange splitting, appropriate for our model, is D0.2–1 meV . In addition, according to first-principles
simulations we choose the Fermi energy m3 eV . The results of numerical integration of (8) are presented in Fig. 2 for several
choices of sdexchange and scattering rates, t. The calculations reveal almost no temperature dependence in the region up to
room temperature for any choice of parameters, which is associated with the fact that the dominant contribution comes from the
integration in a tiny region of the Fermi energy. Fig. 2 also reveal a non-negligible dependence on the damping parameter with
respect to both Dandt, which illustrates that a tailored search for materials with specific damping parameter needs to address
both the sdexchange interaction as well as the scattering rate. From the theoretical perspective, the results shown in Fig. 2
correspond to the case of non-interacting electrons with no electron-phonon coupling included. Thus, the thermal effects are
accounted only via temperature-induced broadening which does not show up for m>jDj.
Conclusions
In this paper we proposed an alternative derivation of the Gilbert damping tensor within a generalized Kubo-St ˇreda formula.
We established the contribution stemming from Eq. (7) which was missing in the previous analysis within the linear response
theory. In spite of being of the order of (mt) 1and, thus, negligible in the weak disorder limit developed in the paper, it should
be properly worked out when dealing with more complicated systems, e.g., gapped materials such as iron garnets (certain half
metallic Heusler compounds). For a model system, represented by a Rashba ferromagnet, we directly evaluated the Gilbert
damping parameter and explored its behaviour associated with the temperature-dependent Fermi-Dirac distribution. In essence,
the obtained results extend the previous studies within linear response theory and can be further utilized in first-principles
calculations. We believe our results will be of interest in the rapidly growing fields of spintronics and magnonics.
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7/8Acknowledgements
A.A.P. acknowledges the support from the Russian Science Foundation Project No. 18-72-00058. O.E. acknowledges support
from eSSENCE, the Swedish Research Council (VR), the foundation for strategic research (SSF) and the Knut and Alice
Wallenberg foundation (KAW). D.Y . acknowledges the support from the Russian Science Foundation Project No. 17-12-01359.
Author contributions statement
D.Y . conceived the idea of the paper and contributed to the theory. A.A.P. wrote the main manuscript text, performed numerical
analysis and prepared figures 1-2. M.I.B. and O.E. contributed to the theory. All authors reviewed the manuscript.
Additional information
Competing interests The authors declare no competing interests.
8/8 |
1503.01027v1.Large_Deviations_for_the_Langevin_equation_with_strong_damping.pdf | Large deviations for the Langevin equation with strong
damping
Sandra Cerraiy, Mark Freidlinz
Department of Mathematics
University of Maryland
College Park, MD 20742
USA
Abstract
We study large deviations in the Langevin dynamics, with damping of order 1and
noise of order 1, as #0. The damping coecient is assumed to be state dependent.
We proceed rst with a change of time and then, we use a weak convergence approach
to large deviations and their equivalent formulation in terms of the Laplace principle,
to determine the good action functional.
Some applications of these results to the exit problem from a domain and to the
wave front propagation for a suitable class of reaction diusion equations are considered.
1 Introduction
For every>0, let us consider the Langevin equation
8
>><
>>:q(t) =b(q(t)) (q(t))
_q(t) +(q(t))_B(t);
q(0) =q2Rd;_q(0) =p2Rd:(1.1)
HereB(t) is ar-dimensional standard Wiener process, dened on some complete stochastic
basis (
;F;fFtg;P). In what follows, we shall assume that bis Lipschitz continuous and
andare bounded and continuously dierentiable, with bounded derivative. Moreover,
is invertible and there exist two constants 0 < 0< 1such thata0(q)1, for all
q2Rd. Equation (1.1) can be rewritten as the following system in R2d
8
>><
>>:_q(t) =p(t); q(0) =q2Rd;
_p(t) =b(q(t)) (q(t))
_q(t) +(q(t))_B(t); p(0) =p2Rd;
Key words : Large deviations, Laplace principle, over damped stochastic dierential equations
yPartially supported by the NSF grant DMS 1407615.
zPartially supported by the NSF grant DMS 1411866.
1arXiv:1503.01027v1 [math.PR] 3 Mar 2015and, due to our assumptions on the coecients, for any >0,T >0 andk1, the system
above admits a unique solution z= (q;p)2Lk(
;C([0;T];R2d)), which is a Markov
process.
Now, if we do a change of time and dene q(t) :=q(t=),t0, we have
8
><
>:2q(t) =b(q(t)) (q(t)) _q(t) +p(q(t)) _w(t);
q(0) =q2Rd;_q(0) =p
2Rd;(1.2)
wherew(t) =pB(t=),t0, is another Rr-valued Wiener process, dened on the same
stochastic basis (
;F;fFtg;P).
In the present paper, we are interested in studying the large deviation principle for
equation (1.2), as #0. Namely, we want to prove that the family fqg>0satises a
large deviation principle in C([0;T];H), with the same action functional Iand the same
normalizing factor that describe the large deviation principle for the rst order equation
_g(t) =b(g(t))
(g(t))+p(g(t))
(g(t))_w(t); g(0) =q2Rd: (1.3)
In particular, as shown in Section 4, this implies that the asymptotic behavior of the
exit time from a basin of attraction for the over damped Langevin dynamics(1.1) can be
described by the quasi potential Vassociated with I, as well as the asymptotic behavior of
the solutions of the degenerate parabolic and elliptic problems associated with the Langevin
dynamics.
Moreover, in Section 4, we will show how these results allow to prove that in reaction-
diusion equations with non-linearities of KPP type, where the transport is described by
the Langevin dynamics itself, the interface separating the areas where uis close to 1 and
to 0, as#0, is given in terms of the action functional I, as in the classical case, when the
vanishing mass approximation is considered.
In [8] and [3], the system
8
><
>:q;(t) =b(q;(t)) (q;(t)) _q;(t) +p(q;(t)) _w(t);
q;(0) =q2Rd; _q;(0) =p
2Rd;(1.4)
for 0<;<< 1, has been studied, under the crucial assumption that the friction coecient
is independent of q.
It has been proven that, in this case, the so-called Kramers-Smoluchowski approxi-
mation holds, that is for any xed > 0 the solution q;of system (1.4) converges in
L2(
;C([0;T];Rd)), as#0, tog, the solution of the rst order equation (1.3). More-
over, it has been proven that, if V(q;p) is the quasi-potential associated with the family
fq;g>0, for>0 xed, then
lim
!0inf
p2RdV(q;p) =V(q);
2whereVis the quasi-potential associated with the action-functional I.
In [9], equation (1.4) with non constant friction has been considered and it has been
shown that in this case the situation is considerably more delicate. Actually, the limit of
q;toghas only been proven via a previous regularization of the noise, which has led
to the convergence of q;to the solution ~ gof the rst order equation with Stratonovich
integral.
Finally, we would like to mention that in the recent paper [12], by Lyv and Roberts, an
analogous problem has been studied for the stochastic damped wave equation in a bounded
regular domain DRd, withd= 1;2;3,
8
>>><
>>>:@2u(t;x)
@t2= u(t;x) +f(u(t;x)) @u(t;x)
@t+@w(t;x)
@t
u(t;x) = 0; x2@D; u (0;x) =u0(x);@u(0;x)
@t=v0;(x)
where >0 is a small parameter, the friction coecient is constant ( = 1),w(t;x) is
a smooth cylindrical Wiener process and fis a cubic non-linearity. By using the weak
convergence approach, the authors show that the family fug>0satises a large deviation
principle in C([0;T];L2(D)), with normalizing factor 2and the same action functional
that describes the large deviation principle for the stochastic parabolic equation.
As mentioned above, in the present paper we are dealing with the case of non-constant
frictionand=2. Dealing with a non-constant friction coecient turns out to be
important in applications, as it allows to describes new eects in reaction-diusion equations
and exit problems (see section 4). Here, we will study the large deviation principle for
equation(1.2) by using the approach of weak convergence (see [1] and [2]) and we will show
the validity of the Laplace principle, which, together with the compactness of level sets, is
equivalent to the large deviation principle.
At this point, it is worth mentioning that one major diculty here is handling the
integralZt
0exp
Zt
s(q(r))dr
(q(s))dw(s);
and proving that it converges to zero, as #0, inL1(
;C([0;T];Rd)). Actually, as is non-
constant, the integral above cannot be interpreted as an It^ o's integral and in our estimates
we cannot use It^ o's isometry. Nevertheless, due to the regularity of q(t), we can consider
the integral above as a pathwise integral, and with appropriate integrations by parts, we
can get the estimates required to prove the Laplace principle.
2 The problem and the method
We are dealing here with the equation
8
><
>:2q(t) =b(q(t)) (q(t)) _q(t) +p(q(t)) _w(t);
q(0) =q2Rd;_q(0) =p
2Rd;(2.1)
3Herew(t),t0, is ar-dimensional Brownian motion and the coecients b,andsatisfy
the following conditions.
Hypothesis 1. 1. The mapping b:Rd!Rdis Lipschitz-continuous and the map-
ping:Rd!L(Rr;Rd)is continuously dierentiable and bounded, together with its
derivative. Moreover, the matrix (q)is invertible, for any q2Rd, and 1:Rd!
L(Rr;Rd)is bounded.
2. The mapping :Rd!Rbelongs toC1
b(Rd)and
inf
x2Rd(x) =:0>0: (2.2)
In view of the conditions on the coecients ,bandassumed in Hypothesis 1, for
every xed >0, equation (2.6) admits a unique solution z= (q;p)2Lk(0;T;Rd), with
T >0 andk1.
Now, for any predictable process utaking values in L2([0;T];Rr), we introduce the
problem
_gu(t) =b(gu(t))
(gu(t))+(gu(t))
(gu(t))u(t); gu(0) =q2Rd: (2.3)
The existence and uniqueness of a pathwise solution guto problem (2.3) in C([0;T];Rd)
is an immediate consequence of the conditions on the coecients b,andthat we have
assumed in Hypothesis 1.
In what follows, we shall denote by Gthe mapping
G:L2([0;T];Rr)!C([0;T];Rd); u7!G(u) =gu:
Moreover, for any f2C([0;T];Rd) we shall dene
I(f) =1
2infZT
0ju(t)j2dt:f=G(u); u2L2([0;T];Rr)
;
with the usual convention inf ;= +1. This means that
I(f) =1
2ZT
0(f(s)) 1(f(s))
_f(s) b(f(s))
(f(s))2
ds; (2.4)
for allf2W1;2(0;T;Rd).
If we denote by gthe solution of the stochastic equation
_g(t) =b(g(t))
(g(t))+p(g(t))
(g(t))_w(t); g(0) =q2Rd; (2.5)
we have that Iis the large deviation action functional for the family fgg>0in the space
of continuous trajectories C([0;T];Rd) (for a proof see e.g. [11]). This means that the
level setsfI(f)cgare compact in C([0;T];Rd), for anyc>0, and for any closed subset
FC([0;T];Rd) and any open set GC([0;T];Rd) it holds
lim sup
!0+logP(g2F) I(F);
lim inf
!0+logP(g2G) I(G);
4where, for any subset AC([0;T];Rd), we have denoted
I(A) = inf
f2AI(f):
The main result of the present paper is to prove that in fact the family of solutions q
of equation (1.2) satises a large deviation principle with the same action functional Ithat
describes the large deviation principle for the family of solutions gof equation (2.5). And,
due to the fact that q(t) =q(t),t0, this allows to describe the behavior of the over
damped Langevin dynamics (1.1) (see Section 4 for all details).
Theorem 2.1. Under Hypothesis 1, the family of probability measures fL(q)g>0, in the
space of continuous paths C([0;T];Rd), satises a large deviation principle with action func-
tionalI.
In order to prove Theorem 2.1, we follow the weak convergence approach, as developed
in [1], (see also [2]). To this purpose, we need to introduce some notations. We denote by
PTthe set of predictable processes in L2(
[0;T];Rr), and for any T > 0 and
>0, we
dene the sets
S
T=
f2L2(0;T;Rd) :ZT
0jf(s)j2ds
A
T=
u2PT:u2S
T;P a.s.
:
Next, for any predictable process utaking values in L2([0;T];Rr), we denote by qu
(t)
the solution of the problem
8
><
>:2qu
(t) =b(qu
(t)) (qu
(t)) _qu
(t) +p(qu
(t)) _w(t) +(qu
(t))u(t);
qu
(0) =q2Rd;_qu
(0) =p
2Rd:(2.6)
As well known, for any xed >0 and for any T > 0 andk1, this equation admits a
unique solution qu
inLk(
;C([0;T];Rd)).
By proceeding as in the proof of [2, Theorem 4.3], the following result can be proven.
Theorem 2.2. Letfug>0be a family of processes in S
Tthat converge in distribution, as
#0, to someu2S
T, as random variables taking values in the space L2(0;T;Rd), endowed
with the weak topology.
If the sequencefqug>0converges in distribution to gu, as#0, in the space of contin-
uous paths C([0;T];Rd), then the family fL(q)g>0satises a large deviation principle in
C([0;T];Rd), with action functional I.
Actually, as shown in [2], the convergence of qutoguimplies the validity of the
Laplace principle with rate functional I. This means that, for any continuous mapping
:C([0;T];Rd)!Rit holds
lim
!0 logEexp
1
(q)
= inf
f2C([0;T];Rd)( (f) +I(f) ):
And, as the level sets of Iare compact, this is equivalent to say that fL(q)g>0satises a
large deviation principle in C([0;T];Rd), with action functional I.
53 Proof of Theorem 2.1
As we have seen in the previous section, in order to prove Theorem 2.1, we have to show
that iffug>0is a family of processes in S
Tthat converge in distribution, as #0, to
someu2 S
T, as random variables taking values in the space L2(0;T;Rd), endowed with
the weak topology, then the sequence fqug>0converges in distribution to gu, as#0, in
the spaceC([0;T];Rd).
In view of the Skorohod representation theorem, we can rephrase such a condition in
the following way. On some probability space (
;F;P), consider a Brownian motion wt,
t0, along with the corresponding natural ltration fFtgt0. Moreover, consider a family
offFtg-predictable processes fu;ug>0inL2(
[0;T];Rd), taking values in S
T,P-a.s.,
such that the joint law of ( u;u;w), under P, coincides with the joint law of ( u;u;w ), under
P, and such that
lim
!0u= u; P a.s. (3.1)
asL2(0;T;R)-valued random variables, endowed with the weak topology. Let qube the
solution of a problem analogous to (2.6), with uandwreplaced respectively by uand w.
Then, we have to prove that
lim
!0qu=gu; P a.s.
inC([0;T];Rd). In fact, we will prove more. Actually, we will show that
lim
!0Esup
t2[0;T]jqu(t) gu(t)j= 0: (3.2)
In order to prove (3.2), we will need some preliminary estimates. For any >0, we
dene the process
H(t) =pe A(t)Zt
0eA(s)(qu
(s))dw(s); t0: (3.3)
Lemma 3.1. Under Hypothesis 1, for any T > 0,k1and
> 0, there exists 0>0
such that for any u2S
Tand2(0;0]
sup
stEjH(t)jkck;
(T)(jqjk+jpjk+ 1)3k
2+ckk
2tk
2e k0t
2: (3.4)
Moreover, we have
Esup
t2[0;T]jH(t)jpc
(T)(1 +jqj+jpj): (3.5)
Proof. Equation (2.6) can be rewritten as the system
8
><
>:_qu
(t) =pu
(t); qu
(0) =q
2_pu
(t) =b(qu
(t)) (qu
(t))pu
(t) +p(qu
(t)) _w(t) +(qu
(t))u(t); pu
(0) =p
:
6Thus, if for any 0 stand>0 we dene
A(t;s) :=1
2Zt
s(qu
(r))dr; A(t) :=A(t;0);
we have
pu
(t) =1
e A(t)p+1
2Zt
0e A(t;s)b(qu
(s))ds
+1
2Zt
0e A(t;s)(qu
(s))u(s)ds+1
2H(t):(3.6)
Integrating with respect to t, this yields
qu
(t) =q+1
Zt
0e A(s)pds+1
2Zt
0Zs
0e A(s;r)b(qu
(r))drds
+1
2Zt
0Zs
0e A(s;r)(qu
(r))u(r)drds +1
2Zt
0H(s)ds:(3.7)
Thanks to the Young inequality, this implies that for any t2[0;T]
jqu
(t)jjqj+jpj+cZt
0(1 +jqu
(s)j)ds+Zt
0ju(s)jds+1
2Zt
0jH(s)jds
c
(T)(jqj+jpj+ 1) +1
2Zt
0jH(s)jds+Zt
0jqu
(s)jds;
and from the Gronwall lemma we can conclude that
jqu
(t)jc
(T) (1 +jqj+jpj) +c(T)1
2Zt
0jH(s)jds:
This implies that for any k1
jqu
(t)jkck;
(T)(jqjk+jpjk+ 1) +ck;
(T) 2kZt
0jH(s)jkds; 2(0;1]: (3.8)
Now, due to (3.6), we have
jpu(t)j1
e 0t
2jpj+1
2Zt
0e 0(t s)
2(1 +jqu
(s)j)ds
+1
2Zt
0e 0(t s)
2ju(s)jds+1
2jH(t)j;
so that, thanks to (3.8), for any 2(0;1] we get
jpu
(t)j1
e 0t
2jpj+c
(T)(jqj+jpj+ 1) +1
2Zt
0e 0(t s)
2ju(s)jds+c(T)1
2jH(t)j:
(3.9)
7As well known, if f2C1([0;t]) andg2C([0;t]), then the Stiltjies integral
Zt
0f(s)dg(s); t0;
is well dened and, if g(0) = 0, the following integration by parts formula holds
Zt
0f(s)dg(s) =Zt
0(g(t) g(s))h0(s)ds+g(t)h(0); t0: (3.10)
Now, the mapping
[0;+1)!L(Rr;Rd); s7!eA(s)(qu
(s));
is dierentiable, P-a.s., so that the stochastic integral in (3.3) is in fact a pathwise integral.
In particular, we can apply formula (3.10), with
h(s) =eA(s)(qu
(s)); g (s) =w(s);
and we get
H(t) =pZt
0(w(t) w(s))e A(t;s)(qu
(s))
2+0(qu
(s))pu
(s)
ds
+pw(t)e A(t)(q):(3.11)
Thanks to (3.9), this yields for any 2(0;1]
jH(t)jcpZt
0jw(t) w(s)je 0(t s)
2
2
1 +2jpu
(s)j
ds+cpjw(t)je 0t
2
c
(T)(jqj+jpj+ 1)pZt
2
0jw(t) w(t 2s)je 0sds
+pc
(T)Zt
2
0jw(t) w(t 2s)je 0sjH(t 2s)jds+cpjw(t)je 0t
2;
and hence, for any k1, we have
jH(t)jkck;
(T)(jqjk+jpjk+ 1)k
2Zt
2
0jw(t) w(t 2s)jke 0sds
+k
2ck;
(T)Zt
2
0jw(t) w(t 2s)jke 0sjH(t 2s)jkds+ckk
2jw(t)jke k0t
2:
8By taking the expectation, due to the independence of jw(t) w(t 2s)jwithjH(t 2s)j
andRt 2s
0jH(r)jkdr, this implies that for any 2(0;1]
EjH(t)jkck;
(T)(jqjk+jpjk+ 1)3k
2Zt
2
0sk
2e 0sds
+3k
2ck;
(T)Zt
2
0sk
2e 0sEjH(t 2s)jkds+ckk
2tk
2e k0t
2
ck;
(T)(jqjk+jpjk+ 1)3k
2+ckk
2tk
2e k0t
2+3k
2ck;
(T) sup
stEjH(s)jk:
Therefore, if we pick 02(0;1] such that
3k
2ck;
(T)<1
2;
we get (3.4).
Now, let us prove (3.5). From (3.11), we have
jH(t)jpcsup
t2[0;T]jw(t)j
1 +Zt
0e 0(t 2)
2jpu(s)jds
pcsup
t2[0;T]jw(t)j
1 +Zt
0jpu(s)j2ds1
2!
;
and hence
Esup
t2[0;T]jH(t)jpc(T)
1 +
EZt
0jpu(s)j2ds1
2!
:
Thanks to (3.9), as a consequence of the Young inequality, we get
Zt
0jpu(s)j2dsc
(T)(1 +jqj2+jpj2) +1
4c(T)Zt
0jH(s)j2ds; (3.12)
so that
Esup
t2[0;T]jH(t)jpc
(T)(1 +jqj+jpj) +1pc(T)Zt
0EjH(s)j2ds1
2
:
Therefore, (3.5) follows from (3.4).
Lemma 3.2. Under Hypothesis 1, for any T >0,k1and
>0there exists 0>0such
that for any u2S
Tand2(0;0)we have
Esup
t2[0;T]jqu
(t)jkck;
(T)(jqjk+jpjk+ 1) k
2+ck;
(T)2 3k
2: (3.13)
9Proof. Estimate (3.13) follows by combining together (3.4) and (3.8).
Now, we are ready to prove (3.2), that, in view of Theorem 2.2, implies Theorem 2.1.
Theorem 3.3. Letfug>0be a family of predictable processes in S
Tthat converge P-a.s.,
as#0, to someu2S
T, with respect to the weak topology of L2(0;T;Rd). Then, we have
lim
!0Esup
t2[0;T]jqu(t) gu(t)j= 0: (3.14)
Proof. Integrating by parts in (3.7), we obtain
qu(t) =q+Zt
0b(qu(s))
(qu(s))ds+Zt
0(qu(s))
(qu(s))u(s)ds+R(t);
where
R(t) =p
Zt
0e A(s)ds 1
(qu(t))Zt
0e A(t;s)b(qu(s))ds+pZt
0(qu(s))
(qu(s))dw(s)
+Zt
0Zs
0e A(s;r)b(qu(r))dr1
2(qu(s))hr(qu(s));pu(s)ids
1
(qu(t))H(t) +Zt
01
2(qu(s))H(s)hr(qu(s));pu(s)ids=:6X
k=1Ik
(t):
This implies that
qu(t) gu(t) =Zt
0b(qu(s))
(qu(s)) b(gu(s))
(gu(s))
ds+Zt
0(qu(s))
(qu(s)) (gu(s))
(gu(s))
u(s)ds
+Zt
0(gu(s))
(gu(s))[u(s) u(s)]ds+R(t):
(3.15)
Due to the Lipschitz-continuity and the boundedness of the functions and 1=, we have
that= is bounded and Lipschitz continuous. Then, as u2S
T, we obtain
jqu(t) gu(t)j2
cZt
0(gu(s))
(gu(s))[u(s) u(s)]ds2
+cjR(t)j2+c(T)Zt
0jqu(s) gu(s)j2ds
+c(T)Zt
0jqu(s) gu(s)j2ds Zt
0ju(s)j2ds+ sup
s2[0;t]jgu(s)j2!
cZt
0(gu(s))
(gu(s))[u(s) u(s)]ds2
+cjR(t)j2+c
(T)Zt
0jqu(s) gu(s)j2ds:
10By the Gronwall lemma, this allows to conclude that
sup
t2[0;T]jqu(t) gu(t)j
c
(T) sup
t2[0;T]Zt
0(gu(s))
(gu(s))[u(s) u(s)]ds+c
(T) sup
t2[0;T]jR(t)j:(3.16)
Now, for any >0, we dene
(t) =Zt
0(gu(s))
(gu(s))[u(s) u(s)]ds:
For any 0<s<t we have
(t) (s) =Zt
s(gu(r))
(gu(r))[u(r) u(r)]dr;
so that, as uanduare both in S
T,
j (t) (s)jc
p
t s; > 0:
As (0) = 0, this implies that the family of continuous functions is f g>0is equibounded
and equicontinuous, so that, by the Ascoli-Arzel a theorem, there exists n#0 andv2
C([0;T];Rd) such that
lim
n!0sup
t2[0;T]j n(t) v(t)j= 0;P a.s.
On the other hand, as (3.1) holds, for any h2Rdwe have
lim
!0h (t);hi= lim
!0
u u;(gu())
(gu())h
L2(0;T;Rd)= 0;
so that we can conclude that v= 0 and
lim
!0Esup
t2[0;T]j (t)j= 0:
Thanks to (3.16), this implies that
lim sup
!0Esup
t2[0;T]jqu(t) gu(t)jclim sup
!0Esup
t2[0;T]jR(t)j;
so that (3.14) follows if we show that
lim
!0Esup
t2[0;T]jR(t)j= 0: (3.17)
We have
jI1
(t)j=jpj
Zt
0e A(s)dscjpj 1Zt
0e 0s
2dscjpj: (3.18)
11Moreover
jI2
(t)j=1
j(qu(t))jZt
0e A(t;s)b(qu(s))ds
cZt
0e 0(t s)
2(1 +jqu(s)j)dsc2
1 + sup
t2[0;T]jqu(t)j!
:
Thanks to (3.13), this implies
Esup
t2[0;T]jI2
(t)jc
(T)(jpj+jqj+ 1)3
2; 2(0;1]: (3.19)
Next
Esup
t2[0;T]jI3
(t)j=pEsup
t2[0;T]Zt
0(qu(s))
(qu(s))dw(s)c(T)p: (3.20)
Concerning I4(t), we have
jI4
(t)j=Zt
0Zs
0e A(s;r)b(qu(r))dr1
2(qu(s))hr(qu(s));pu(s)ids
2c
1 + sup
t2[0;T]jqu(t)j!Zt
0jpu(s)jds;
so that, due to (3.13) we obtain
Esup
t2[0;T]jI4
(t)j2c
(T)(jqj+jpj+ 1) 1
2
EZt
0jpu(s)j2ds1
2
:
As a consequence of (3.4) and (3.12), this yields
Esup
t2[0;T]jI4
(t)jc
(T)(jqj2+jpj2+ 1); 2(0;0]: (3.21)
Concerning I5
(t), according to (3.5) we have
Esup
t2[0;T]jI5
(t)jcEsup
t2[0;T]jH(t)jpc
(T)(1 +jqj+jpj): (3.22)
Finally, it remains to estimate I6
(t). We have
jI6
(t)j=Zt
01
2(qu(s))H(s)hr(qu(s));pu(s)idscZt
0jH(s)jjpu(s)jds;
so that
Esup
t2[0;T]jI6
(t)jcZT
0EjH(s)j2dsZT
0Ejpu(s)j2ds1
2
:
12By using (3.12), this gives
Esup
t2[0;T]jI6
(t)jc
(T)(1 +jqj+jpj)ZT
0EjH(s)j2ds1
2
+1
2ZT
0EjH(s)j2ds;
so that, from (3.4) we get
Esup
t2[0;T]jI6
(t)jc
(T)(1 +jqj+jpj); 2(0;0]:
This, together with (3.18), (3.19), (3.20), (3.21) and (3.22), implies (3.17) and (3.14) follows.
4 Some applications and remarks
LetGbe a bounded domain in Rd, with a smooth boundary @G. We consider here the exit
problem for the process q(t) dened as the solution of equation (1.1). For every >0 we
dene
:= minft0 :q(t)=2Gg; := minft0 :q(t)=2Gg;
whereq(t) =q(t=) is the solution of equation (2.6). It is clear that
=1
; q() =q():
In what follows, we shall assume that the dynamical system
_q(t) =b(q(t)); t0; (4.1)
satises the following conditions.
Hypothesis 2. The pointO2Gis asymptotically stable for the dynamical system (4.1)
and for any initial condition q2Rd
lim
t!1q(t) =O:
Moreover, we have
hb(q);(q)i>0; q2@G;
where(q)is the inward normal vector at q2@G.
Now, we introduce the quasi-potential associated with the action functional Idened
in (2.4)
V(q) = infn
I(f); f2C([0;T];Rd); f(0) =O; f (T) =q; T > 0o
=1
2inf(ZT
0(f(s)) 1(f(s))
_f(s) b(f(s))
(f(s))2
ds; f (0) =O; f (T) =q; T > 0)
:
It is easy to check that, under our assumptions on (q), the quasi-potential Vcoincides
with
1
2infZT
0 1(f(s))
_f(s) (f(s))b(f(s))2
ds; f (0) =O; f (T) =q; T > 0
:(4.2)
13Theorem 4.1. Under Hypotheses 1 and 2, for each q2fq2G:V(q)V0gandp2Rd,
we have
lim
!0logE(q;p)= lim
!0logE(q;p)=V0; (4.3)
and
lim
!0log= lim
!0log=V0;in probability ; (4.4)
where
V0:= min
q2@GV(q):
Moreover, if the minimum of Von@Gis achieved at a unique point q?2@G, then
lim
!0q() = lim
!0q() =q?: (4.5)
Proof. First, note that q(t) is the rst component of the 2 d-dimensional Markov process
z(t) = (q(t);p(t)). Because of the structure of the p-component of the drift of this process
and our assumptions on the vector eld b, starting from ( q;p)2R2d, the trajectory of z(t)
spends most of the time in a small neighborhood of the point q=Oandp= 0, with
probability close to 1, as 0 < << 1. From time to time, the process z(t) deviates from
this point and, as proven in Theorem 2.1, the deviations of q(t) are governed by the large
deviation principle with action functional I, dened in (2.4). This allows to prove the
validity of (4.3), (4.4) and (4.5) in the same way as Theorems 4.41, 4.42 and 4.2.1 from [11]
are proven. We omit the details.
As an immediate consequence of (4.2) and [11, Theorem 4.3.1], we have the following
result.
Theorem 4.2. Assumea(q) :=(q)?(q) =Iand(q)b(q) = rU(q) +l(q), for any
q2Rd, for some smooth function U:Rd!Rhaving a unique critical point (a minimum)
atO2Rdand such that
hrU(q);l(q)i= 0; q2Rd:
Then
V(q) = 2U(q); q2Rd:
From Theorems 4.1 and 4.2, it is possible to get a number of results concerning the
asymptotic behavior, as #0, of the solutions of the degenerate parabolic and the elliptic
problems associated with the dierential operator Ldened by
Lu(q;p) =1
2dX
i;j=1ai;j(q)@2u
@pi@pj(q;p) +
b(q) 1
(q)p
rpu(q;p) +prqu(q;p):
Assume now that the dynamical system (4.1) has several asymptotically stable attrac-
tors. Assume, for the sake of brevity, that all attractors are just stable equilibriums O1,
O2,. . . ,Ol. Denote byEthe set of separatrices separating the basins of these attractors, and
assume the setEto have dimension strictly less than d. Moreover, let each trajectory q(t),
14starting at q02RdnE, be attracted to one of the stable equilibriums Oi,i= 1;:::;l , as
t!1 . Finally, assume that the projection of b(q) on the radius connecting the origin in
Rdand the point q2Rdis directed to the origin and its length is bounded from below by
some uniform constant >0 (this condition provides the positive recurrence of the process
z(t) = (q(t);p(t)),t0).
In what follows, we shall denote
V(q1;q2)
=1
2infZT
0(f(s)) 1(f(s))
_f(s) b(f(s))
(f(s))2
ds; f (0) =q1; f(T) =q2; T > 0
and
Vij=V(Oi;Oj); i;j2f1;:::;lg:
In a generic case, the behavior of the process ( q(t);p(t)), on time intervals of order
exp( 1), > 0 and 0< << 1, can be described by a hierarchy of cycles as in [11]
and [6]. The cycles are dened by the numbers Vij. For (almost) each initial point qand a
time scale, these numbers dene also the metastable state Oi?,i?=i?(q;), whereq(t)
spends most of the time during the time interval [0 ;exp( 1)]. Slow changes of the eld
b(q) and/or of the damping coecient (q) can lead to stochastic resonance (compare with
[7]).
Consider next the reaction diusion equation in Rd
8
><
>:@u
@t(t;q) =Lu(t;q) +c(q;u(t;q))u(t;q);
u(0;q) =g(q); q2Rd; t> 0:(4.6)
HereLis a linear second order uniformly elliptic operator, with regular enough coecients.
Letq(t) be the diusion process in Rdassociated with the operator L. The Feynman-Kac
formula says that ucan be seen as the solution of the problem
u(t;q) =Eqg(q(t)) expZt
0c(q(s);u(t s;q(s))ds: (4.7)
Reaction-diusion equations describe the interaction between particle transport dened
byq(t) and reaction which consists of multiplication (if c(q;u)>0) and annihilation (if
c(q;u)<0) of particles. In classical reaction-diusion equations, the Langevin dynamics
which describes a diusion with inertia is replaced by its vanishing mass approximation. If
the transport is described by the Langevin dynamics itself, equation (4.6) should be replaced
by an equation in R2d. Assuming that the drift is equal to zero ( b(q) = 0), and the damping
is of order 1, as#0, this equation has the form8
>>>>>>>><
>>>>>>>>:@u
@t(t;q;p ) =1
2dX
i;j=1ai;j(q)@2u
@pi@pj(q;p) 1
(q)prpu(q;p) +prqu(q;p)
+c(q;u(t;q;p ))u(t;q;p ); t> 0;(q;p)2R2d;
u(0;q;p) =g(q)0;(q;p)2R2d:(4.8)
15Now, we dene
R(t;q) = supZt
0c(f(s);0)ds It(f) :f(0) =q; f(t)2G0
;
where
It(f) =1
2Zt
02(f(s))a 1(f(s))_f(s)_f(s)ds;
andG0= suppfg(q); q2Rdg.
Denition 4.3. 1. We say that Condition (N) is satised if R(t;x)can be characterized,
for anyt>0andx2t=fq2Rd; R(t;q) = 0g, as
supZt
0c(f(s);0)ds It(f); f(0) =q; f(t)2G0; R(t s;f(s))0;0st
:
2. We say that the non-linear term f(q;u) =c(q;u)uin equation (4.8) is of KPP
(Kolmogorov-Petrovskii-Piskunov) type if c(q;u)is Lipschitz-continuous, c(q;0)
c(q;u)>0, for any 0<u< 1,c(q;1) = 0 andc(q;u)<0, for anyu>1.
Theorem 4.4. Let the non-linear term in (4.8) be of KPP type. Assume that Condition
(N) is satised and assume that the closure of G0= suppfg(q); q2Rdgcoincides with the
closure of the interior of G0. Then,
lim
!0u(t=;q;p ) = 0;ifR(t;q)<0; (4.9)
and
lim
!0u(t=;q;p ) = 1;ifR(t;q)>0; (4.10)
so that equation R(t;q) = 0 inR2ddenes the interface separating the area where u, the
solution of (4.8) , is close to 1and to 0, as#0.
Proof. If we dene u(t;q;p ) =u(t=;q;p ), the analog of (4.7) yields
u(t;q;p ) =E(q;p)g(q(t)) exp1
Zt
0c(q(s);u(t s;q(s);p(s))ds
; (4.11)
wherez(t) = (q(s);p(s)) is the solution to equation (2.6). By taking into account our
assumptions on c(q;u), we derive from (4.11)
u(t;q;p )E(q;p)g(q(t)) exp1
Zt
0c(q(s);0)ds
:
Theorem 2.1 and the Laplace formula imply that the right hand side of the above inequality
is logarithmically equivalent , as #0, to exp 1
R(t;q)
and this implies (4.9).
In order to prove (4.10), rst of all one should check that if R(t;q) = 0, then for each
>0
u(t;q;p )exp
1
; (4.12)
16when>0 is small enough. This follows from (4.11) and Condition (N), if one takes into
account the continuity of c(q;u). The strong Markov property of the process ( q(t);p(t))
and bound (4.12) imply (4.10) (compare with [5]).
Consider, as an example, the case c(q;0) =c= const. Then
R(t;q) =ct inffIt(f); f(0) =q; f(t)2G0g:
The inmum in the equality above coincides with
1
2t2(q;G 0);
(see, for instance, [5] for a proof), where (q1;q2),q1;q22Rd, is the distance in the
Riemaniann metric
ds=(q)vuutdX
i;j=1ai;j(q)dqidqj:
This implies that the interface moves according to the Huygens principle with the constant
speedp
2c, if calculated in the Riemannian metric ds.
If(q) = 0 in a domain G1Rd, the points of G1should be identied. The Riemaniann
metric in Rdinduces now, in a natural way, a new metric ~ in this space with identied
points. The motion of the interface, in this case, can be described by the Huygens principle
with constant velocityp
2cin the metric ~ .
Ifc(q;0) is not constant, the motion of the interface, in general, cannot be described
by a Huygens principle. Actually, the motion can have jumps and other specic features
(compare with [5]).
Finally, if the Condition (N) is not satised, the function R(t;q) should be replaced by
another one. Dene
~R(t;q) = sup
min
0atZa
0c(f(s);0)ds Ia(f)
:f(0) =q; f(t)2G0
:
The function ~R(t;q) is Lipschitz continuous and non-positive and if Condition (N) is satis-
ed, then
~R(t;q) = minfR(t;q);0g:
By proceeding as in [6], it is possible to prove that
lim
!0u(t=;q;p ) = 0;ifR(t;q)<0;
and
lim
!0u(t=;q;p ) = 1;
if (t;q) is in the interior of the set f(t;q) :t>0; q2Rd;~R(t;q) = 0g.
Finally, we would like to mention a few generalizations.
171. The arguments that we we have used in the proof of Theorem 2.1, can be used to
prove the same result for the equation
8
>><
>>:q(t) =b(q(t)) (q(t))
_q(t) +1
(q(t))_B(t);
q(0) =q2Rd;_q(0) =p2Rd;
for any <1=2. As a matter of fact, with the very same method we can show that
also in this case the family fqg>0satises a large deviation principle in C([0;T];Rd)
with action functional Iand with normalizing factor 1 2.
2. The damping can be assumed to be anisotropic. This means that the coecient (q)
can be replaced by a matrix (q), with all eigenvalues having negative real part.
3. Systems with strong non-linear damping can be considered. Namely, let ( q;p) be the
time-inhomogeneous Markov process corresponding to the following initial-boundary
value problem for a degenerate quasi-linear equation on a bounded regular domain
GRd
8
>>>>>>>>><
>>>>>>>>>:@u(t;p;q )
@t=1
2dX
i;j=1ai;j(q)@2u(t;q;p )
@pi@pj+b(q)rpu(t;q;p )
(q;u(t;q;p ))
prpu(t;q;p ) +prqu(t;q;p ):
u(0;q;p) =g(q); u(t;q;p )jq2@G= (q);
Existence and uniqueness of such degenerate problem, under some mild conditions,
follows from [4, Chapter 5]. The non-linearity of the damping leads to some pecu-
larities in the exit problem and in metastability. In particular, in the generic case,
metastable distributions can be distributions among several asymptotic attractors and
the limiting exit distributions may have a density (see [10]).
References
[1] P. Dupuis, R. Ellis, A weak convergence approach to the theory of large
deviations , Wiley Series in Probability and Statistics, John Wiley and Sons, Inc.,
New York, 1997.
[2] M. Bou e, P. Dupuis, A variational representation for certain functionals of Brownian
motion , Annals of Probability 26 (1998), no. 4, 1641{1659.
[3] Z. Chen, M.I. Freidlin, Smoluchowski-Kramers approximation and exit problems
Stochastics and Dynamycs 5 (2005), pp. 569{585.
[4] M.I. Freidlin, Functional integration and partial differential equations ,
Annals of Mathematics Studies, 109, Princeton University Press, 1985.
18[5] M.I. Freidlin, Limit theorems for large deviations and reaction-diusion equations , An-
nals of Probability 13 (1985), pp. 639{675.
[6] M.I. Freidlin, Coupled reaction-diusion equations , Annals of Probability 19 (1991),
pp. 29{57.
[7] M.I. Freidlin, Quasi-deterministic approximation, metastability and stochastic reso-
nance , Physica D 137 (2000), pp. 333{352.
[8] M.I. Freidlin, Some remarks on the Smoluchowski-Kramers approximation , Journal of
Statistical Physics 117, pp. 617{634, 2004.
[9] M.I. Freidlin, W. Hu, Smoluchowski-Kramers approximation in the case of variable
friction , Journal of Mathematical Sciences, 179 (2011), pp. 184{207.
[10] M.I. Freidlin, L. Koralov, Nonlinear stochastic perturbations of dynamical systems and
quasi-linear parabolic PDE's with a small parameter , Probability Theory andRelated
Fields 147 (2010), pp. 273{301.
[11] M.I. Freidlin, A.D. Wentzell, Random perturbations of dynamical systems ,
Third Edition, Springer, Heidelberg, 2012.
[12] Y. Lyv, A.J. Roberts, Large deviation principle for singularly perturbed stochastic
damped wave equations , Stochastic Analysis and Applications, 32 (2014), pp. 50-60.
19 |
1501.00444v1.Inertia__diffusion_and_dynamics_of_a_driven_skyrmion.pdf | Inertia, diffusion and dynamics of a driven skyrmion
Christoph Sch ¨utte,1Junichi Iwasaki,2Achim Rosch,1and Naoto Nagaosa2, 3,
1Institut f ¨ur Theoretische Physik, Universit ¨at zu K ¨oln, D-50937 Cologne, Germany
2Department of Applied Physics, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
3RIKEN Center for Emergent Matter Science (CEMS), Wako, Saitama 351-0198, Japan
(Dated: January 5, 2015)
Skyrmions recently discovered in chiral magnets are a promising candidate for magnetic storage devices
because of their topological stability, small size ( 3 100nm), and ultra-low threshold current density (
106A/m2) to drive their motion. However, the time-dependent dynamics has hitherto been largely unexplored.
Here we show, by combining the numerical solution of the Landau-Lifshitz-Gilbert equation and the analysis of a
generalized Thiele’s equation, that inertial effects are almost completely absent in skyrmion dynamics driven by
a time-dependent current. In contrast, the response to time-dependent magnetic forces and thermal fluctuations
depends strongly on frequency and is described by a large effective mass and a (anti-) damping depending
on the acceleration of the skyrmion. Thermal diffusion is strongly suppressed by the cyclotron motion and is
proportional to the Gilbert damping coefficient . This indicates that the skyrmion position is stable, and its
motion responds to the time-dependent current without delay or retardation even if it is fast. These findings
demonstrate the advantages of skyrmions as information carriers.
PACS numbers: 73.43.Cd,72.25.-b,72.80.-r
I. INTRODUCTION
Mass is a fundamental quantity of a particle determining its
mechanical inertia and therefore the speed of response to ex-
ternal forces. Furthermore, it controls the strength of quantum
and thermal fluctuations. For a fast response one usually needs
small masses and small friction coefficients which in turn lead
to large fluctuations and a rapid diffusion. Therefore, usually
small fluctuations and a quick reaction to external forces are
not concomitant. However a “particle” is not a trivial object
in modern physics, it can be a complex of energy and mo-
mentum, embedded in a fluctuating environment. Therefore,
its dynamics can be different from that of a Newtonian parti-
cle. This is the case in magnets, where such a “particle” can
be formed by a magnetic texture1,2. A skyrmion3,4is a rep-
resentative example: a swirling spin texture characterized by
a topological index counting the number of times a sphere is
wrapped in spin space. This topological index remains un-
changed provided spin configurations vary slowly, i.e., dis-
continuous spin configurations are forbidden on an atomic
scale due to high energy costs. Therefore, the skyrmion is
topologically protected and has a long lifetime, in sharp con-
trast to e.g. spin wave excitations which can rapidly decay.
Skyrmions have attracted recent intensive interest because of
their nano-metric size and high mobility5–14. Especially, the
current densities needed to drive their motion ( 106A/m2)
are ultra small compared to those used to manipulate domain
walls in ferromagnets ( 1011 12A/m2)15–19.
The motion of the skyrmion in a two dimensional film can
be described by a modified version of Newton’s equation. For
sufficiently slowly varying and not too strong forces, a sym-
metry analysis suggests the following form of the equations
of motion,
G_R+D_R+mR+ R=Fc+Fg+Fth:(1)
Here we assumed translational and rotational invariance of
the linearized equations of motion. The ‘gyrocoupling’ G=G^e?is an effective magnetic field oriented perpendicular to
the plane,is the (dimensionless) Gilbert damping of a sin-
gle spin,Ddescribes the friction of the skyrmion, mits mass
andRits centre coordinate. parametrizes a peculiar type of
damping proportional to the acceleration of the particle. We
name this term ‘gyrodamping’, since it describes the damping
of a particle on a cyclotron orbit (an orbit with R/G_R),
which can be stronger ( parallel to G) or weaker (antipar-
allel to G) than that for linear motion. Our main goal will
be to describe the influence of forces on the skyrmion arising
from electric currents ( Fc), magnetic field gradients (Fg) and
thermal fluctuations (Fth).
By analyzing the motion of a rigid magnetic structure
M(r;t) =M0(r R(t))forstatic forces, one can obtain
analytic formulas for G;D;FcandFgusing the approach
of Thiele19–22,24. In Ref. [25], an approximate value for the
mass of a skyrmion was obtained by simulating the motion of
a skyrmion in a nanodisc and by estimating contributions to
the mass from internal excitations of the skyrmion.
For rapidly changing forces, needed for the manipulation of
skyrmions in spintronic devices, Eq. (1) is however not suffi-
cient. A generalized version of Eq. (1) valid for weak but also
arbitrarily time-dependent forces can be written as
G 1(!)V(!) =Fc(!) +Fg(!) +Fth(!) (2)
=Sc(!)vs(!) +Sg(!)rBz(!) +Fth(!)
HereV(!) =R
ei!t_R(t)dtis the Fourier transform of the
velocity of the skyrmion, vs(!)is the (spin-) drift velocity
of the conduction electrons, directly proportional to the cur-
rent,rBz(!)describes a magnetic field gradient in frequency
space. The role of the random thermal forces, Fth(!), is spe-
cial as their dynamics is directly linked via the fluctuation-
dissipation theorem to the left-hand side of the equation, see
below. The 22matrix G 1(!)describes the dynam-
ics of the skyrmion; its small- !expansion defines the terms
written on the left-hand side of Eq. (1). One can expectarXiv:1501.00444v1 [cond-mat.str-el] 2 Jan 20152
FIG. 1: When a skyrmion is driven by a time dependent external
force, it becomes distorted and the spins precess resulting in a de-
layed response and a large effective mass. In contrast, when the
skyrmion motion is driven by an electric current, the skyrmion ap-
proximately flows with the current with little distortion and preces-
sion. Therefore skyrmions respond quickly to rapid changes of the
electric current.
strongly frequency-dependent dynamics for the skyrmion be-
cause the external forces in combination with the motion of
the skyrmion can induce a precession of the spin and also ex-
cite spinwaves in the surrounding ferromagnet, see Fig. 1.
We will, however, show that the frequency dependence of the
right-hand side of the Eq. (2) is at least as important: not only
the motion of the skyrmion but also the external forces excite
internal modes. Depending on the frequency range, there is
an effective screening or antiscreening of the forces described
by the matrices Sc(!)andSg(!). Especially for the current-
driven motion, there will be for all frequencies an almost exact
cancellation of terms from G 1(!)andSc(!). As a result
the skyrmion will follow almost instantaneously any change
of the current despite its large mass.
In this paper, we study the dynamics of a driven skyrmion
by solving numerically the stochastic Landau-Lifshitz-Gilbert
(LLG) equation. Our strategy will be to determine the param-
eters of Eq. (2) such that this equation reproduces the results
of the LLG equation. Section II introduces the model and
outlines the numerical implementation. Three driving mecha-
nisms are considered: section III studies the diffusive motion
of the skyrmion due to thermal noise, section IV the skyrmion
motion due to time-dependent magnetic field gradient and sec-
tion V the current-driven dynamics. We conclude with a sum-
mary and discussion of the results in Sec. VI.
II. MODEL
Our study is based on a numerical analysis of the stochastic
Landau-Lifshitz-Gilbert (sLLG) equations27defined by
dMr
dt=
Mr[Be+b
(t)]
MMr(Mr[Be+b
(t)]):(3)
Here
is the gyromagnetic moment and the Gilbert damp-
ing;Be= H[M]
Mris an effective magnetic field created by
the surrounding magnetic moments and b
(t)a fluctuating,stochastic field creating random torques on the magnetic mo-
ments to model the effects of thermal fluctuations, see below.
The Hamiltonian H[M]is given by
H[M] = JX
rMr
Mr+aex+Mr+aey
X
r
MrMr+aexex+MrMr+aeyey
BX
rMr (4)
We useJ= 1 ,
= 1 ,jMrj= 1 ,= 0:18Jfor the
strength of the Dzyaloshinskii-Moriya interaction and B=
(0;0;0:0278J)for all plots giving rise to a skyrmion with a
radius of about 15lattice sites, see Appendix A. For this pa-
rameter set, the ground state is ferromagnetic, thus the single
skyrmion is a topologically protected, metastable excitation.
Typically we simulate 100100spins for the analysis of dif-
fusive and current driven motion and 200200spins for the
force-driven motion. For these parameters lattice effects are
negligible, see appendix B. Typical microscopic parameters
used, areJ= 1meV (this yields Tc10K) which we use to
estimate typical time scales for the skyrmion motion.
Following Ref. 27, we assume that the field bfl
r(t)is gen-
erated from a Gaussian stochastic process with the following
statistical properties
bfl
r;i(t)
= 0
bfl
r;i(t)bfl
r0;j(s)
= 2kBT
Mijrr0(t s) (5)
whereiandjare cartesian components and h:::idenotes
an average taken over different realizations of the fluctuating
field. The Gaussian property of the process stems from the in-
teraction of Mrwith a large number of microscopic degrees
of freedom (central limit theorem) which are also responsi-
ble for the damping described by , reflecting the fluctuation-
dissipation theorem. The delta-correlation in time and space
in Eq. (5) expresses that the autocorrelation time and length of
bfl
r(t)is much shorter than the response time and length scale
of the magnetic system.
For a numerical implementation of Eq. (3) we follow
Ref. 27 and use Heun’s scheme for the numerical integration
which converges quadratically to the solution of the general
system of stochastic differential equations (when interpreted
in terms of the Stratonovich calculus).
For static driving forces, one can calculate the drift veloc-
ity_Rfollowing Thiele20. Starting from the Landau-Lifshitz
Gilbert equations, Eq. (3), we project onto the translational
mode by multiplying Eq. (3) with @iMrand integrating over
space21–23.
G=~M0Z
dr n(@xn@yn)
D=~M0Z
dr(@xn@xn+@yn@yn)=2
Fc=Gvs+Dvs;
Fg=MsrB; M s=M0Z
dr(1 nz) (6)3
where nis the direction of the magnetization, M0the lo-
cal spin density, vsthe (spin-) drift velocity of the conduc-
tion electrons proportional to the electric current, and Ms
is the change of the magnetization induced by a skyrmion
in a ferromagnetic background. The ’gyrocoupling vector’
G= (0;0;G)TwithG=~M04is given by the winding
number of the skyrmion, independent of microscopic details.
III. THERMAL DIFFUSION
Random forces arising from thermal fluctuations play a de-
cisive role in controlling the diffusion of particles and there-
fore also the trajectories R(t)of a skyrmion. To obtain R(t)
and corresponding correlation functions we used numerical
simulations based on the stochastic Landau-Lifshitz-Gilbert
equation27. These micromagnetic equations describe the dy-
namics of coupled spins including the effects of damping
and thermal fluctuations. Initially, a skyrmion spin-texture
is embedded in a ferromagnetic background. By monitoring
the change of the magnetization, we track the center of the
skyrmion R(t), see appendix A for details.
Our goal is to use this data to determine the matrix G 1(!)
and the randomly fluctuating thermal forces, Fth(!), which
together fix the equation of motion, Eq. (2), in the presence
of thermal fluctuations ( rBz=vs= 0). One might worry
that this problem does not have a unique solution as both the
left-hand and the right-hand side of Eq. (2) are not known
a priori. Here one can, however, make use of the fact that
Kubo’s fluctuation-dissipation theorem26constraints the ther-
mal forces on the skyrmion described by Fthin Eq. (2) by
linking them directly to the dissipative contributions of G 1.
On averagehFth= 0i, but its autocorrelation is proportional
to the temperature and friction coefficients. In general it is
given by
hFi
th(!)Fj
th(!0)i=kBT[G 1
ij(!) +G 1
ji( !)]2(!+!0):
(7)
For small ! one obtainshFx
th(!)Fx
th(!0)i =
4kBTD(!+!0)while off-diagonal correla-
tions arise from the gyrodamping hFx
th(!)Fy
th(!0)i=
4i!kBT (!+!0). Using Eq. (7) and demand-
ing furthermore that the solution of Eq. (2) reproduces
the correlation function h_Ri(t)_Rj(t0)i(or, equivalently,
h(Ri(t) Rj(t0))2i) obtained from the micromagnetic
simulations, leads to the condition26
Gij(!) =1
kBTZ1
0(t t0)h_Ri(t)_Rj(t0)i (8)
ei!(t t0)d(t t0):
We therefore determine first in the presence of thermal fluc-
tuations (rBz=vs= 0) from simulations of the stochastic
LLG equation (3) the correlation functions of the velocities
and use those to determine Gij(!)using Eq. (8). After a sim-
ple matrix inversion, this fixes the left-hand side of the equa-
tion of motion, Eq. (2), and therefore contains all information
0 5 10 15 20 25t ωp00.511.522.5 <ΔR2>α=0.01
α=0.05
α=0.1
α=0.15
α=0.2FIG. 2: Time dependence of the correlation function
(Ri(t0+t) Ri(t0))2
forT= 0:1Jand different values
of the Gilbert damping (!p=B= 0:0278Jis the frequency for
cyclotron motion).
on the (frequency-dependent) effective mass, gyrocoupling,
damping and gyrodamping of the skyrmion. Furthermore, the
corresponding spectrum of thermal fluctuations is given by
Eq. (7).
Fig. 2 showsh(R)2it=h(Rx(t0+t) Rx(t0))2i. As
expected, the motion of the skyrmion is diffusive: the mean
squared displacement grows for long times linearly in time
h(R)2it= 2Dt, whereDis the diffusion constant. Usu-
ally the diffusion constant of a particle grows when the fric-
tion is lowered26. For the skyrmion the situation is opposite:
the diffusion constant becomes small for the small friction,
i.e., small Gilbert damping . This surprising observation has
its origin in the gyrocoupling G: in the absence of friction
the skyrmion would be localized on a cyclotron orbit. From
Eq. (1), we obtain
D=kBTD
G2+ (D)2(9)
The diffusion is strongly suppressed by G. As in most materi-
alsis much smaller than unity while DG , the skyrmion
motion is characterized both by a small diffusion constant
and a small friction. Such a suppressed dynamics has also
been shown to be important for the dynamics of magnetic
vortices28. For typical parameters relevant for materials like
MnSi we estimate that it takes 10 6sto10 5sfor a skyrmion
to diffusive over an average length of one skyrmion diameter.
To analyze the dynamics on shorter time scales we show in
Fig. 3 four real functions parametrizing G 1(!): a frequency-
dependent mass m(!), gyrocouplingG(!), gyrodamping
(!)and dissipation strength D(!)with
G 1(!) =
D(!) i!m(!) G(!) +i! (!)
G(!) i! (!)D(!) i!m(!)
For!!0one obtains the parameters of Eq. (1). All pa-
rameters depend only weakly on temperature, Gandmare ap-
proximately independent of , while the friction coefficients4
0 1 2 3 4 5
ω / ωp04812 α
thermal diffusion
0 1 2 3 4 5
ω / ωp00.51-G / 4 π
0 1 2 3 4 5
ω / ωp0100200
α Γ0 1 2 3 4 5
ω / ωp050100
m
current driven motion
force driven motion
FIG. 3: Dissipative tensor D, massm, gyrocouplingGand gyro-
damping as functions of the frequency !for the diffusive motion
atT= 0:1(solid lines). They differ strongly from the “apparent”
dynamical coefficients (see text) obtained for the force driven (red
dashed line) and current driven motion (green dot-dashed line). We
use= 0:2,= 0:1. The error bars reflect estimates of systematic
errors arising mainly from discretization effects, see appendix B.
00.05 0.1 0.15 0.2α01234 αT=0.15
T=0.2
00.05 0.1 0.15 0.2α00.51-G / 4 π
00.05 0.1 0.15 0.2α010203040
α Γ00.05 0.1 0.15 0.2α0255075100
mT=0.05
T=0.1
FIG. 4: Dissipative strength D, massm, gyrocouplingGand gy-
rodamping as functions of the Gilbert damping for different
temperatures T.
Dand are linear in , see Fig. 4. In the limit T!0,
G(!!0)takes the value 4, fixed by the topology of the
skyrmion15,20.
Both the gyrodamping and and the effective mass m
have huge numerical values. A simple scaling analysis of the
Landau-Lifshitz-Gilbert equation reveals that both the gyro-
couplingGandDare independent of the size of the skyrmion,
while andmare proportional to the area of the skyrmion,
and frequencies scale with the inverse area, see appendix
B. For the chosen parameters (the field dependence is dis-cussed in the appendix B), we find m0:3N
ipm0and
0:7N
ipm0, wherem0=~2
Ja2is the mass of a sin-
gle flipped spin in a ferromagnet ( 1in our units) and we have
estimated the number of flipped spins, N
ip, from the total
magnetization of the skyrmion relative to the ferromagnetic
background. As expected the mass of skyrmions grows with
the area (consistent with an estimate29formobtained from the
magnon spectrum of skyrmion crystals), the observation that
the damping rate Dis independent of the size of skyrmions
is counter-intuitive. The reason is that larger skyrmions have
smoother magnetic configurations, which give rise to less
damping. For realistic system parameters J= 1meV (which
yields a paramagnetic transition temperature TC10K, but
there are also materials, i.e. FeGe, where the skyrmion lattice
phase is stabilised near room-temperature16) anda= 5 ˚A and
a skyrmion radius of 200 ˚A one finds a typical mass scale of
10 25kg.
The sign of the gyrodamping is opposite to that of the
gyrocouplingG. This implies that describes not damp-
ing but rather antidamping: there is less friction for cyclotron
motion of the skyrmion than for the linear motion. The nu-
merical value for the antidamping turns out to be so large
thatDm+ G<0. This has the profound consequence that
the simplified equation of motion shown in Eq. (1) cannot be
used: it would wrongly predict that some oscillations of the
skyrmion are not damped, but grow exponentially in time due
to the strong antidamping. This is, however, a pure artifact
of ignoring the frequency dependence of G 1(!), and such
oscillations do not grow.
Fig. 3 shows that the dynamics of the skyrmion has a strong
frequency dependence. We identify the origin of this fre-
quency dependence with a coupling of the skyrmion coordi-
nate to pairs of magnon excitations as discussed in Ref. 31.
Magnon emission sets in for ! > 2!pwhere!p=Bis the
precession frequency of spins in the ferromagnet (in the pres-
ence of a bound state with frequency !b, the onset frequency
is!p+!b, Ref. 31). This new damping channel is most ef-
ficient when the emitted spin waves have a wavelength of the
order of the skyrmion radius.
As a test for this mechanism, we have checked that only
this high-frequency damping survives for !0. In Fig. 5
we show the frequency dependent damping D(!)for various
bare damping coefficients . For small!it is proportional to
as predicted by the Thiele equation. For !>2!p, however,
an extra dampling mechanism sets in: the skyrmion motion
can be damped by the emission of pairs of spin waves. This
mechanism is approximately independent of and survives
in the!0limit. This leads necessarily to a pronounced
frequency dependence of the damping and therefore to the ef-
fective mass m(!)which is related by the Kramers-Kronig
relationm(!) =1
!R1
1D(!0)
!0 !d!0
toD(!). Note also that
the largeindependent mass m(!!0)is directly related to
theindependent damping mechanism for large !. Also the
frequency dependence of m(!)andG(!)can be traced back
to the same mechanism as these quantities can be computed
fromD(!)and (!)using Kramers-Kronig relations. For
large frequencies, the effective mass practically vanishes and5
0 1 2 3 4 5
ω/ωp05101520αD(ω)α=0.05
α=0.1
α=0.2
FIG. 5: Effective damping, D(!)for= 0:2,0:1and0:05.
0 1 2 3 4 5
ω / ωp-400-2000200400Mz
tot600Re/Im SgRe Sg11
Re Sg21
Im Sg11
Im Sg21
FIG. 6: Dynamical coupling coefficients for the force driven motion
(= 0:2). In the static limit everything but the real part of the diago-
nal vanishes. R eS11
g(!)however approaches the total magnetization
Mz
totas expected. The error bars reflect estimates of systematic er-
rors, see appendix B.
the ‘gyrocoupling’ Gdrops by a factor of a half.
IV . FORCE-DRIVEN MOTION
Next, we study the effects of an oscillating magnetic field
gradient rBz(t)in the absence of thermal fluctuations. As
the skyrmion has a large magnetic moment Mz
totrelative to the
ferromagnetic background, the field gradient leads to a force
acting on the skyrmion. In the static limit, the force is exactly
given by
Fg(!!0) =Mz
totrBz: (10)
Using G 1(!)determined above, we can calculate how the
effective force Sg(!)rBz(!)(see Eq. 2) depends on fre-
quency. Fig. 6 shows that for !!0one obtains the expectedresultSg(!!0) =ijMz
tot, while a strong frequency de-
pendence sets in above the magnon gap, for !&!p. This
is the precession frequency of spins in the external magnetic
field.
In general, both the screening of forces (parametrized
bySg(!)) and the internal dynamics (described by
G 1(!)) determines the response of skyrmions, V(!) =
G(!)Sg(!)rBz(!). Therefore it is in general not possi-
ble to extract, e.g., the mass of the skyrmion as described by
G 1(!)from just a measurement of the response to field gra-
dients. It is, however, instructive to ask what “apparent” mass
one obtains, when the frequency dependence of Sg(!)is ig-
nored. We therefore define the “apparent” dynamics G 1
a(!)
byGa(!)Sg(!= 0) = G(!)Sg(!). The matrix elements
ofG 1
a(!)are shown in Fig. 3 as dashed lines. The appar-
ent mass for gradient-driven motion, for example, turns out
to be more than a factor of three smaller then the value ob-
tained from the diffusive motion clearly showing the impor-
tance of screening effects on external forces. The situation
is even more dramatic when skyrmions are driven by electric
currents.
V . CURRENT-DRIVEN MOTION
Currents affect the motion of spins both via adiabatic and
non-adiabatic spin torques30. Therefore one obtains two types
of forces on the spin texture even in the static limit19–22,24.
The effect of a time-dependent, spin-polarized current on
the magnetic texture can be modelled by supplementing the
right hand side of eq. (3) with a spin torque term TST,
TST= (vsr)Mr+
M[Mr(vsr)Mr]:(11)
The first term is called the spin-transfer-torque term and is
derived under the assumption of adiabaticity: the conduction-
electrons adjust their spin orientation as they traverse the mag-
netic sample such that it points parallel to the local magnetic
moment Mrowing toJHandJsd. This assumptions is justi-
fied as the skyrmions are rather large smooth objects (due to
the weakness of spin-orbit coupling). The second so called -
term describes the dissipative coupling between conduction-
electrons and magnetic moments due to non-adiabatic effects.
Bothandare small dimensionless constants in typical ma-
terials. From the Thiele approach one obtains the force
Fc(!!0) =Gvs+Dvs: (12)
For a Galilei-invariant system one obtains =. In this
special limit, one can easily show that an exact solution of the
LLG equations in the presence of a time-dependent current,
described by vs(t)is given by M(r Rt
1vs(t0)dt0)pro-
vided, M(~ r)is a static solution of the LLG equation for vs=
0. This implies that for =, the skyrmion motion exactly
follows the external current, _R(t) =vs(t). Using Eq. (2),
this implies that for =one has G 1(!) =Sc(!). Defin-
ing the apparent dynamics, as above, Ga(!)Sc(!= 0) =
G(!)Sc(!)one obtains a frequency independent G 1
a(!) =6
0 1 2 3 4 5
ω / ωp-4 π-10-50β D(0)510Re/Im ScIm Sc11
Im Sc21Re Sc11
Re Sc21
FIG. 7: Dynamical coupling coefficients (symbols) for the current-
driven motion ( = 0:2,= 0:1,J= 1,= 0:18J,B= 0:0278 ).
These curves follow almost the corresponding matrix elements of
G 1(!)shown as dashed lines. A deviation of symbols and dashed
line is only sizable for Re S11
c.
0 1 2 3 4 5
ω/ωp-5051015 mα=0.2,β=0
α=0.2,β=0.1
0 1 2 3 4 5
ω/ωp0510
α Γα=0.2,β=0.15
α=0.2,β=0.19
α=0.2,β=0.3
FIG. 8: Mass m(!)and gyrodamping (!)as functions of the
driving frequency !for the current-driven motion. Note that both M
and vanish for=.
Sc(!= 0) =D 1 iyG: the apparent effective mass and
gyrodamping are exactly zero in this limit and the skyrmion
follows the current without any retardation. For 6=, the
LLG equations predict a finite apparent mass. Numerically,
we find only very small apparent masses, ma
c/ , see
dot-dashed line in upper-right panel of Fig. 3, where the case
= 0:2,= 0:1is shown. This is anticipated from the anal-
ysis of the=case: As the mass vanishes for == 0,
it will be small as long as both andare small. Indeed
even for6=this relation holds approximately as shown
in Fig. 7. The only sizable deviation is observed for Re S11
c
for which the Thiele equation predicts Re S11
c(!!0) =D
while Re G 111(!!0) =Das observed numerically.
A better way to quantify that the skyrmion follows the cur-rent even for 6=almost instantaneously is to calculate
the apparent mass and gyrodamping for current driven mo-
tion, where only results for = 0:2and= 0:1have been
shown. As these quantities vanish for =, one can ex-
pect that they are proportional to at least for small ;.
This is indeed approximately valid at least for small frequen-
cies as can be seen from Fig. 8. Interestingly, one can even
obtain negative values for > (without violating causal-
ity). Most importantly, despite the rather large values for
andused in our analysis, the apparent effective mass and
gyrodamping remain small compared to the large values ob-
tained for force-driven motion or the intrinsic dynamics. This
shows that retardation effects remain tiny when skyrmions are
controlled by currents.
VI. CONCLUSIONS
In conclusion, we have shown that skyrmions in chiral mag-
nets are characterised by a number of unique dynamical prop-
erties which are not easily found in other systems. First, their
damping is small despite the fact that skyrmions are large
composite objects. Second, despite the small damping, the
diffusion constant remains small. Third, despite a huge iner-
tial mass, skyrmions react almost instantaneously to external
currents. The combination of these three features can become
the basis for a very precise control of skyrmions by time-
dependent currents.
Our analysis of the skyrmion motion is based on a two-
dimensional model where only a single magnetic layer was
considered. All qualitative results can, however, easily be
generalized to a film with NLlayers. In this case, all terms
in Eq. (1) get approximately multiplied by a factor NLwith
the exception of the last term, the random force, which is en-
hanced only by a factorpNL. As a consequence, the diffu-
sive motion is further suppressed by a factor 1=pNLwhile
the current- and force-driven motion are approximately unaf-
fected.
An unexpected feature of the skyrmion motion is the an-
tidamping arising from the gyrodamping. The presence of
antidamping is closely related to another important property
of the system: both the dynamics of the skyrmion and the ef-
fective forces acting on the skyrmion are strongly frequency
dependent.
In general, in any device based on skyrmions a combination
of effects will play a role. Thermal fluctuations are always
present in room-temperature devices, the shape of the device
will exert forces13,14and, finally, we have identified the cur-
rent as the ideal driving mechanism. In the linear regime, the
corresponding forces are additive. The study of non-linear
effects and the interaction of several skyrmions will be impor-
tant for the design of logical elements based on skyrmions and
this is left for future works. As in our study, we expect that
dynamical screening will be important in this regime.7
30
40
50
60
70 30 40 50 60 70 0 0.0005 0.001 0.0015 0.002 0.0025 0.003 0.0035 0.004
FIG. 9: Skyrmion density based on the normalized z-component of
the magnetization.
Acknowledgments
The authors are greatful for insightful discussions with K.
Everschor and Markus Garst. Part of this work was funded
through the Institutional Strategy of the University of Cologne
within the German Excellence Initiative” and the BCGS. C.S.
thanks the University of Tokyo for hospitality during his re-
search internship where part of this work has been performed.
N.N. was supported by Grant-in-Aids for Scientific Research
(No. 24224009) from the Ministry of Education, Culture,
Sports, Science and Technology (MEXT) of Japan, and by the
Strategic International Cooperative Program (Joint Research
Type) from Japan Science and Technology Agency. J.I. is sup-
ported by Grant-in-Aids for JSPS Fellows (No. 2610547).
Appendix A: Definition of the Skyrmion’s centre coordinate
In order to calculate the Green’s function, Eq. (3), one
needs to calculate the velocity-velocity correlation function.
Therefore it is necessary to track the skyrmion position
throughout the simulation. Mostly two methods have been
used so far for this25: (i) tracking the centre of the topological
charge and (ii) tracking the core of the Skyrmion (reversal of
magnetization).
The topological charge density
top(r) =1
4^ n(r)(@x^ n(r)@y^ n(r)) (A1)
integrates to the number of Skyrmions in the system. There-
fore for our case of a single Skyrmion in the ferromagnetic
background this quantity is normalized to 1. The center of
topological charge can therefore be defined as
R=Z
d2rtop(r)r (A2)
For the case of finite temperature this method can, however,
not be used directly. Thermal fluctuations in the ferromagnetic
background far away from the skyrmion lead to a large noise
to this quantity which diverges in the thermodynamic limit.
A similar problem arises when tracking the center using the
magnetization of the skyrmion.One therefore needs a method which focuses only on the
region close to the skyrmion center. To locate the skyrmion,
we use thez-component of the magnetization but take into ac-
count only points where Mz(r)< |