\documentstyle[aps,multicol,epsf,graphicx]{revtex}
\begin{document}
\title{Nontrivial Velocity Distributions in Inelastic Gases}
\author{P.~L.~Krapivsky$^1$ and E.~Ben-Naim$^2$}
\address{$^1$Center for Polymer Studies and Department of Physics,
Boston University, Boston, MA 02215, USA}
\address{$^2$Theoretical Division and Center for Nonlinear Studies,
Los Alamos National Laboratory, Los Alamos, NM 87545, USA}
\maketitle
\begin{abstract}
  We study spatially homogeneous inelastic gases using the Boltzmann
  equation. We consider uniform collision rates and obtain analytical
  results valid for arbitrary spatial dimension $d$ and arbitrary
  dissipation coefficient $\epsilon$.  In the unforced case, we find
  that the velocity distribution decays algebraically, $P(v,t)\sim
  v^{-\sigma}$, for sufficiently large velocities.  The exponent
  $\sigma(d,\epsilon)$ exhibits nontrivial dependence on the spatial
  dimension and the dissipation coefficient.\\
\vspace{5pt}
{PACS:} 05.20.Dd,  05.40.-a, 45.70.Mg, 47.70.Nd
\end{abstract}
\begin{multicols}{2}

  Granular gases present novel challenges, previously not encountered
  in fluid dynamics \cite{pl}.  Specifically, the strong underlying
  energy dissipation leads to clustering instabilities and strong
  velocity correlations \cite{bm,my,gz,soto,bcdr,slk}. A series of
  recent experimental and theoretical studies reveals a rich
  phenomenology. In particular, velocities are characterized by
  anomalous statistics, sensitive to the details of the driving
  conditions, the density, and the degree of dissipation
  \cite{ep,ve,ou,rm,bbrtv}.

Kinetic theory provides a systematic framework for deriving
macroscopic properties from the microscopic collision dynamics
\cite{jr,sg,gs}. Yet, analysis of the corresponding Boltzmann equation
often involves uncontrolled approximations or use of nearly Maxwellian
distributions. Motivated by the latter issue, we examine both unforced
and forced inelastic gases using a simplified Boltzmann
equation. Specifically, we employ Maxwell's collision rate which is
proportional to the typical velocity rather than the relative velocity
\cite{e}.  The resulting Boltzmann equation is analytically tractable,
as reported in a few recent studies \cite{bk,bmp,eb}.

This kinetic theory leads to interesting behaviors in the freely
evolving case. In one dimension, while moments of the velocity
distribution exhibit multiscaling \cite{bk}, the velocity distribution
itself still approaches a scaling form with an algebraic large
velocity tail \cite{bmp}. An algebraic tail was also found numerically
in two dimensions \cite{bmp}.  Here, we show analytically that in
arbitrary spatial dimension the velocity distribution admits a scaling
solution with an algebraic large velocity tail.  The corresponding
exponent, a root of a transcendental equation, depends on the spatial
dimension and the restitution coefficient.  In the driven case, we
find that  the velocity distribution is
non-Maxwellian.

Our starting point is a homogeneous system of identical inelastic
spherical particles in arbitrary spatial dimension $d$.  The mass and
the cross-section are set to unity without loss of generality.  When
two particles collide, the normal component of the relative velocity
is reduced by the restitution coefficient $r=1-2\epsilon$, while the
tangential component remains the same.  Denoting by ${\bf n}$ the
impact direction, the unit vector connecting the centers of the two
particles, the post-collision velocities ${\bf v}_{1,2}$ are given by
a linear combination of the precollision velocities ${\bf u}_{1,2}$,
\begin{equation}
\label{inel}
{\bf v}_{1,2}={\bf u}_{1,2}\mp(1-\epsilon)\,({\bf g}\cdot {\bf n})\,{\bf n},
\end{equation}
with the relative velocity ${\bf g}={\bf u}_1-{\bf u}_2$.  The energy
dissipated in a collision equals $\Delta E=-\epsilon(1-\epsilon)({\bf
g}\cdot{\bf n})^2$.  When $\epsilon=0$ collisions are elastic, while
when $\epsilon=1/2$ collisions are perfectly inelastic with maximal
energy dissipation.

Let $P({\bf v},t)$ be the normalized density of particles with velocity ${\bf
  v}$ at time $t$. Assuming molecular chaos or perfect mixing, we arrive at
the following Boltzmann equation for the velocity distribution
\begin{eqnarray}
\label{be}
{\partial P({\bf v},t)\over \partial t} = \langle g\rangle
\int d{\bf n}\int d{\bf u}_1 \int d{\bf u}_2\,\,P({\bf u}_1,t)\,
P({\bf u}_2,t)\times\\
\Big\{\delta\big[{\bf v}-{\bf u}_1 +(1-\epsilon)
({\bf g}\cdot {\bf n})\,{\bf n}\big] -\delta({\bf v}-{\bf u}_1)\Big\}\nonumber.
\end{eqnarray}
The collision rate in the Maxwell approximation represents 
the typical velocity scale, $\langle g\rangle=\sqrt{T}$, with
$T={1\over d}\langle v^2\rangle$ the ``granular temperature'' or the
average kinetic energy per degree of freedom (for hard spheres, the
collision rate equals the actual relative velocity ${\bf g}\cdot {\bf
n}$). This evolution equation naturally describes a stochastic process
where randomly chosen pairs of particles undergo inelastic collisions
according to (\ref{inel}) with a randomly chosen impact direction $\bf
{n}$. In writing Eq.~(\ref{be}) we tacitly ignored the restriction
${\bf g}\cdot {\bf n}>0$ on the integration range, because the
integrand obeys the reflection symmetry ${\bf n}\to -{\bf n}$.  The
integration measure should be normalized, $\int d{\bf n}=1$.

In the absence of energy input the system ``cools'' indefinitely according to
Haff's law  \cite{pkh}. Indeed, the time dependence of the temperature is
found from the Boltzmann equation (\ref{be}) to give ${d\over dt}T=-\lambda
T^{3/2}$ with \hbox{$\lambda=2\epsilon(1-\epsilon)\int d{\bf n}\, n_1^2$}
(the first axis was conveniently chosen to be parallel to ${\bf g}$).  Since
$n_1^2+\ldots+n_d^2=1$ and $\int d{\bf n}=1$ one has
$\lambda=2\epsilon(1-\epsilon)/d$. Thus, the temperature decays according to
$T(t)=T_0\,(1+t/t_0)^{-2}$, with the initial temperature $T_0$ and the
characteristic time scale $t_0=d/\big[\epsilon(1-\epsilon)\sqrt{T_0}\,\big]$.
The temperature quantifies velocity fluctuations. In the following, we focus
on the natural case of isotropic velocity distributions. We will show that
asymptotically, the temperature represents the only relevant velocity scale
as the velocity distribution approaches the scaling form
\begin{equation}
\label{pscl}
P({\bf v},t)\sim {1\over T^{d/2}}{\cal
P}\left({v\over \sqrt{T}}\right).
\end{equation}

Given the convolution structure of the Boltzmann equation (\ref{be}),
we introduce $F({\bf k}, t)$, the Fourier transform of the velocity
distribution function, \hbox{$F({\bf k}, t)=\int d{\bf v}\,e^{i{\bf k}\cdot
{\bf v}}\,P({\bf v},t)$}.  Applying the Fourier transform to
Eq.~(\ref{be}) and integrating over the velocities gives
\begin{equation}
\label{fkt}
{1\over \sqrt{T}}{\partial \over \partial t}F({\bf k},t)+F({\bf k},t)=
\int d{\bf n}\,F\left[{\bf k}-{\bf q},t\right]F\left[{\bf q},t\right],
\end{equation}
with ${\bf q}=(1-\epsilon)({\bf k}\cdot {\bf n})\,{\bf n}$.  This rate
equation reflects the momentum transferred between particles during
collisions.  We seek an isotropic scaling solution for the Fourier
transform, the equivalent of (\ref{pscl}),
\begin{equation}
\label{fscl}
F({\bf k},t)=\Phi\left(k^2 T\right),
\end{equation}
with $k\equiv |{\bf k}|$.  In the $k\to 0$ limit, the Fourier
transform, $F({\bf k},t)\cong 1-{1\over 2}\,k^2\, T$, implies that
the first two terms in the Taylor expansion of the corresponding
scaling function $\Phi(x)$ are universal, $\Phi(x)\cong 1-{1\over
2}x$.

Let us first consider the simpler 1D case.  Equation (\ref{fkt})
reduces to \hbox{${1\over \sqrt{T}}{\partial \over \partial
t}F(k,t)+F(k,t)= F[\epsilon k, t]\,F[k-\epsilon k, t]$} and the
scaling function (\ref{fscl}) satisfies $-\lambda
\,x\,\Phi'(x)+\Phi(x) =\Phi\left[\epsilon^2
x\right]\,\Phi\left[(1-\epsilon)^2 x\right]$  \cite{bk}.  This equation
admits a very simple solution  \cite{bmp}
\begin{equation}
\label{fsol}
\Phi(x)=\left[1+\sqrt{x}\,\right]\,e^{-\sqrt{x}}.
\end{equation}
The inverse Fourier transform gives the scaling function of the velocity
distribution as a squared Lorentzian
\begin{equation}
\label{Pvt} {\cal P}(w)={2\over \pi}{1\over (1+w^2)^2}.
\end{equation}
Therefore, the form of the scaling solution (\ref{Pvt}) is universal
as it is independent of the dissipation degree.  Another
important feature is the algebraic tail of the velocity distribution,
${\cal P}(w)\sim w^{-4}$ as $w\to\infty$.

We now return to the general $d$-dimensional case.  Substituting
(\ref{fscl}) into (\ref{fkt}) and using the temperature cooling
equation ${d\over
  dt}T=-\lambda T^{3/2}$ one finds that the scaling function $\Phi(x)$
satisfies $\Phi(x)-\lambda x\Phi'(x)=\int\! d{\bf n}\,\Phi(\xi
x)\Phi(\eta x)$, where $\xi=1-(1-\epsilon^2)n_1^2$ and
$\eta=(1-\epsilon)^2n_1^2$.  To integrate over the impact
direction ${\bf n}$ we use spherical coordinates and treat the
first axis as the polar axis, $n_1=\cos \theta$.  The
$\theta$-dependent factor of the measure is $d{\bf n}=N^{-1}(\sin
\theta)^{d-2} d\theta$ with the factor \hbox{$N=\int_0^{\pi} (\sin
\theta)^{d-2} d\theta =B\left({1\over 2}, {d-1\over 2}\right)$}
ensuring proper normalization ($B(a,b)$ is the beta function).
Using $\mu=\cos^2 \theta$ as the integration variable, the above
governing equation for the scaling function reads
\begin{equation}
\label{fx}
-\lambda \,x\,\Phi'(x)+\Phi(x)
=\int_0^1 {\cal D}\mu\,\,\Phi(\xi x)\,\,\Phi(\eta x),
\end{equation}
where $\xi\equiv \xi(\epsilon,\mu)=1-(1-\epsilon^2)\mu$ and
$\eta\equiv\eta(\epsilon,\mu)=(1-\epsilon)^2\mu$.  Additionally, the
integration measure was re-written using ${\cal D}\mu$, defined via
$B\left({1\over 2},{d-1\over 2}\right){\cal D}\mu= \mu^{-{1\over
2}}\,(1-\mu)^{d-3\over 2}\,d\mu$ (it remains normalized,
$\int_0^1{\cal D}\mu=1$). In the elastic case, the velocity
distribution is Maxwellian.  Indeed, $\xi+\eta=1$ and $\lambda=0$ when
$\epsilon=0$, and thence $\Phi(x)=e^{-x/2}$.

Our primarily goal is to determine statistics of extremely fast
particles, namely the tail of the velocity distribution.  This can be
accomplished by noting that the large-$v$ behavior of the velocity
distribution is reflected by the small-$k$ behavior of its Fourier
transform. For example, the small-$x$ expansion of the 1D solution
(\ref{fsol}) contains both regular and singular terms:
$\Phi(x)=1-{1\over 2}\,x+{1\over 3}\,x^{3/2}+\cdots$, and the dominant
singular $x^{3/2}$ term reflects the $w^{-4}$ tail of ${\cal
P}(w)$. In general, an algebraic tail of the velocity distribution
(\ref{pscl}),
\begin{equation}
\label{tail}
{\cal P}(w)\sim w^{-\sigma} \qquad {\rm when} \qquad w\to\infty,
\end{equation}
indicates the existence of a singular component in the Fourier transform,
\begin{equation}
\label{sing}
\Phi_{\rm sing}(x)\sim x^{(\sigma-d)/2} \qquad {\rm when} \qquad x\to 0,
\end{equation}
and vice versa. This is seen by recasting the Fourier transform
 $\Phi(x)\propto \int_0^\infty dw\, w^{d-1}{\cal
 P}(w)\,e^{iw\sqrt{x}}$, into the Laplace transform $I(s)\propto
 \int_0^\infty dw\,w^{d-1}{\cal P}(w)\,e^{-ws}$ using $x=-s^2$.  The
 small-$s$ expansion of the integral $I(s)$ contains regular and
 singular components.  For example, when $\sigma<d$, the integral
 $I(s)$ diverges as $s\to 0$ and integration over large-$w$ yields the
 dominant contribution $I_{\rm sing}(s)\sim s^{\sigma-d}$.  When
 $d<\sigma<d+1$, $I(0)$ is finite, but the next term is the above
 singular term, so $I(s)=I(0)+I_{\rm sing}(s)+\cdots$.  In general,
 the singular contribution is $I_{\rm sing}(s)\sim s^{\sigma-d}$,
 thereby leading to the singular term of Eq.~(\ref{sing}).

The exponent $\sigma$ can now be obtained by inserting
$\Phi(x)=\Phi_{\rm reg}(x)+\Phi_{\rm sing}(x)$ into Eq.~(\ref{fx}) and
equating the dominant singular terms. Combining $\Phi_{\rm reg}(0)=1$,
with the anticipated leading singular term of Eq.~(\ref{sing}), we
find that the exponent $\sigma$ is a root of the following integral
equation
\begin{equation}
\label{main}
1-\lambda\,{\sigma-d\over 2} =\int_0^1 {\cal
D}\mu\,\left[\xi^{(\sigma-d)/2}+\eta^{(\sigma-d)/2}\right].
\end{equation}
This equation has a trivial solution $\sigma=d+2$, following
from the identity $\int{\cal D}\mu\,(\xi+\eta)=1-\lambda$, where the
singular and the regular components simply coincide,
$x^{(\sigma-d)/2}=x$. Since we seek the leading {\em singular} term,
the solution of Eq.~(\ref{main}) must therefore satisfy $\sigma>d+2$.

The integral equation (\ref{main}) can be written explicitly in
terms of special functions
\begin{eqnarray}
\label{solve} &1&-\epsilon(1-\epsilon)\,{\sigma-d\over d}=\\
&&{}_2F_1 \left[{d-\sigma\over 2},{1\over2};{d\over 2};
1-\epsilon^2\right] +(1-\epsilon)^{\sigma-d}\,
{\Gamma\left({\sigma-d+1\over 2}\right)\Gamma\left({d\over
2}\right)\over \Gamma\left({\sigma\over
2}\right)\,\Gamma\left({1\over 2}\right)},\nonumber
\end{eqnarray}
with ${}_2F_1(a,b;c;z)$ the hypergeometric function  \cite{aar}.
Interestingly, the exponent $\sigma\equiv\sigma(d,\epsilon)$ is a root
of the transcendental equation (\ref{solve}) and thence it depends in
a nontrivial fashion on spatial dimension $d$ and the dissipation 
parameter $\epsilon$.

We first consider the dependence on the dissipation parameter by
considering the quasi-elastic limit $\epsilon\to 0$. As discussed
above, in the elastic case the velocity distribution is Maxwellian and
the Fourier transform is simply $\Phi(x)=e^{-x/2}$  \cite{caveat}. This
implies a diverging exponent $\sigma\to\infty$ as $\epsilon\to
0$. Therefore, the right-hand side of Eq.~(\ref{solve}) vanishes, and
the leading behavior is
\begin{equation}
\label{sig0} \sigma\simeq {d\over \epsilon}\qquad{\rm as}\qquad
\epsilon\to 0.
\end{equation}
One can further expand $\sigma(d,\epsilon)$ in the $\epsilon\to 0$
limit to find: $\sigma(d,\epsilon)=d\,
\epsilon^{-1}+a_1(d)\,\epsilon^{-1/2}+a_2(d)+\cdots$. We merely quote
the leading correction in the physically relevant spatial dimensions
$a_1(2)=-2(e^{-2}+1)/\sqrt{\pi}$ and $a_1(3)=-\sqrt{3\pi/2}$.
Clearly, the quasi-elastic limit is singular. Dissipation, even if
minute, seriously changes the nature of the system
 \cite{bcdr,plmv}.

Next, we discuss the dependence on the dimension. First, one can verify that
$\sigma=4$ when $d=1$ using the identity ${}_2F_1(a,b;b;z)=(1-z)^{-a}$. The
case $d=1$ is unique in that the entire scaling function and in particular
the exponent do not dependent on $\epsilon$. The case of $d\to\infty$ is
similar to the $\epsilon=0$ case in that the inelastic nature of the
collisions becomes irrelevant, the velocity distribution is Maxwellian, and
the exponent diverges, $\sigma\to\infty$ as $d\to \infty$. In this limit, the
second integral in Eq.~(\ref{main}) is negligible as it vanishes
exponentially with the dimension. The first integral can be evaluated by
taking the limits $d\to\infty$ and $\mu\to 0$, with $z=\mu d/2$ being finite.
Then, the integration measure is transformed ${\cal D}\mu\to (\pi
z)^{-1/2}e^{-z}\,dz$, and Eq.~(\ref{main}) becomes
$1-\epsilon(1-\epsilon)u=\int_0^{\infty} dz (\pi
z)^{-1/2}e^{-[1+(1-\epsilon^2)u]z}$ where $u={\sigma\over d}-1$.  Performing
the integration yields $1-\epsilon(1-\epsilon) u=[1+(1-\epsilon^2)u]^{-1/2}$,
from which we find $u$ and
\begin{equation}
\label{larged}
\sigma \simeq d\,{1+{3\over 2}\epsilon-\epsilon^3-\epsilon^{1/2}
\left(1+{5\over 4}\epsilon\right)^{1/2}\over \epsilon(1-\epsilon^2)},
\end{equation}
as $d\to\infty$.  In general, $\sigma\propto d$, and therefore, the algebraic
decay becomes sharper as the dimension increases.  The exponent
$\sigma(d,\epsilon)$ increases monotonically with increasing dimension, and
additionally, it increases monotonically with decreasing $\epsilon$ (see
Fig.~1). Both features are intuitive as they mirror the monotonic dependence
of the energy dissipation rate $\lambda=2\epsilon(1-\epsilon)/d$ on $d$ and
$\epsilon$.  Hence, the completely inelastic case provides a lower bound for
the exponent, $\sigma(d,\epsilon)\ge \sigma(d,\epsilon=1/2)$ with
$\sigma(d,1/2)=6.28753$, $8.32937$, for $d=2$, $3$, respectively.  The former
value should be compared with $\sigma\approx 5$, obtained from numerical
simulations  \cite{bmp}. The algebraic tails are characterized by unusually
large exponents which may be difficult to measure accurately in practice (for
typical granular particles $\epsilon\approx 0.1$ yielding $\sigma\approx
30$). Figure 1 also shows that the quantity $\sigma/d$ weakly depends upon
the dimension, and the large-$d$ limit (\ref{larged}) provides a useful
approximation.

\begin{figure}
%\centerline{\epsfxsize=8cm \epsfbox{fig1.eps}} 
\centerline{\includegraphics[width=8cm]{fig1}}
\caption{The exact exponent $\sigma$, obtained 
  from Eq.~(\ref{main}), versus the dissipation parameter $\epsilon$. The
  exponent was scaled by the dimension $d$. Shown also is the limiting large
  dimension expression (\ref{larged}).}
\end{figure}


Thus far, we discussed only freely cooling systems where the energy decreases
indefinitely. In typical experimental situations, however, the system is
supplied with energy to balance the energy dissipation  \cite{ou,rm}.
Theoretically, it is natural to consider white noise forcing  \cite{ve}, i.e.,
coupling to a thermal heat bath which leads to a nonequilibrium steady state.
Specifically, we assume that in addition to changes due to collisions,
velocities may also change due to an external forcing: \hbox{${dv_j\over
    dt}|_{\rm heat}=\xi_j$} with $j=1,\ldots,d$. We use standard uncorrelated
white noise \hbox{$\langle\xi_i(t) \xi_j(t')\rangle
  =2D\delta_{ij}\delta(t-t')$} with a zero average $\langle \xi_j\rangle=0$.
The temperature rate equation is modified by the additional source term
${d\over dt}T+\lambda T^{3/2}=2D$, and the system approaches a steady state,
$T_{\infty}=(2D/\lambda)^{2/3}$. The relaxation toward this state is
exponential, $|T_{\infty}-T|\sim e^{-t/\tau}$.

Uncorrelated white noise forcing amounts to diffusion in velocity
space, and Eq.~(\ref{fkt}) is modified as follows
${1\over \sqrt{T}}{\partial\over\partial t}\to {1\over \sqrt{T}}
{\partial\over\partial t}+Dk^2$. In
the steady state, the Fourier transform, $F({\bf
  k},t=\infty)\equiv \Psi(y)$ with $y=Dk^2$, obeys
\begin{equation}
\label{int}
(1+y)\,\Psi(y)=\langle \Psi(\xi y)\, \Psi(\eta y)\rangle,
\end{equation}
where integration with respect to the measure ${\cal D}\mu$ is
denoted by $\langle f\rangle =\int_0^1 {\cal D}\mu f(\mu)$.

Equation (\ref{int}) is solved recursively by employing the
cumulant expansion $\Psi(y)=\exp\left[\sum_{n\geq 1}
(-y)^nF_n\right]$.  Writing $1+y=\exp\left[\sum_{n\geq
1}(-y)^n/n\right]$, we recast Eq.~(\ref{int}) into
\begin{eqnarray}
\label{cumeqg}
1=\Bigg\langle\exp\left[\sum_{n=1}^{\infty} (-y)^n 
(n^{-1}-G_n)\right]\Bigg\rangle,
\end{eqnarray}
where $G_n=F_n(1-\xi^n-\eta^n)$.  The desired cumulants $F_n$ are
obtained by solving for $\langle G_n\rangle$ recursively and then
using $F_n=\langle G_n\rangle/\langle 1-\xi^n-\eta^n\rangle$.  In one
dimension $\langle \mu^n\rangle=1$ and one immediately obtains
$\langle G_n\rangle=n^{-1}$ \cite{bk}. In higher dimensions, the
averages acquire non-trivial dependence on $n$ \cite{few} though the
qualitative nature of the solution remains the same since $\langle
G_n\rangle$ and hence the cumulants $F_n$ (as well as the moments of
the distribution) are positive.  This implies the following small-$k$
behavior of the Fourier transform at the steady state: $\ln
F_{\infty}({\bf k})\sim -(k/k_0)^2$. This behavior agrees with the
prediction of Ref.~\cite{ccg} derived via a small-$\epsilon$
expansion, but differs from the stretched exponential behavior
$\exp(-v^{3/2})$ found for the driven inelastic hard sphere gas
\cite{ve}.

In summary, we have studied inelastic gases within the framework of
the Boltzmann equation with a uniform collision kernel.  In the freely
evolving case, we have shown analytically that the density of
high-energy particles is suppressed algebraically.  The algebraic
tails are characterized by remarkably large exponents, and may be hard
to distinguish from (stretched) exponential tails. Our results,
combined with previous kinetic theory studies which find exponential,
stretched exponential, and Gaussian tails, indicate that the extremal
characteristics can be very sensitive to parameters such as the
restitution coefficient, and the dimension \cite{ep,ve,jr}.  On the
other hand, our results in the forced case support the near-Maxwellian
assumptions typically used to obtain macroscopic transport
coefficients from kinetic theory  \cite{sg}.


We thank A.~Baldassari and M.~H.~Ernst for fruitful correspondence, and
G.~D.~Doolen and S.~Redner for useful comments. This research was
supported by DOE (W-7405-ENG-36) and NSF(DMR9978902).


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\end{multicols}
\end{document}
