Contact geometric approach to Glauber dynamics near a cusp and its limitation Shin-itiro Goto Shai Lerer Leonid Polterovich

2025-04-27 0 0 368.59KB 18 页 10玖币
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Contact geometric approach to Glauber dynamics
near a cusp and its limitation
Shin-itiro Goto
, Shai Lerer
, Leonid Polterovich
March 8, 2023
Abstract
We study a nonequilibrium mean field Ising model in the low temperature phase
regime, where metastable equilibrium states develop a cuspidal (spinodal) singularity.
We focus on celebrated Glauber dynamics, and design a contact Hamiltonian flow
which captures some of its rough features in this regime. We prove, however, that
there is an inevitable discrepancy between the scaling laws for the relaxation time in
the Glauber and the contact Hamiltonian dynamical systems.
1 Introduction
Considerable activity is being devoted to establish a solid foundation of nonequilib-
rium thermodynamics and statistical mechanics [10, 18, 19]. Among various problems
in constructing a viable general theory, establishing a concise description of dynamical
properties of thermodynamic systems with phase transitions is one of the main points.
Recalling the success with the Ising model in developing equilibrium statistical me-
chanics, one recognizes that analyzing a canonical dynamical model is expected to be
the first step towards the establishment of a nonequilibrium theory. One can choose
a spin kinetic model as a canonical model, where its dynamics is called Glauber dy-
namics. In particular the model with the mean field type spin coupling enables one
to derive a simple dynamical system (see equation (5) below) for an expectation or
thermal average of magnetization with some approximation [5, 14]. This expectation
variable is the thermodynamic conjugate variable of the externally applied magnetic
field, and shows relaxation processes. Here, roughly speaking, relaxation is a dynami-
cal process starting from a nonequilibrium state to a point of the equilibrium state set
in thermodynamic phase space. At equilibrium, for the Ising model with mean field
type interactions, the equation of state is explicitly derived by calculating the partition
Center for Mathematical Science and Artificial Intelligence, Chubu University, 1200 Matsumoto-cho,
Kasugai, Aichi 487-8501, Japan
School of Mathematical Sciences, Tel Aviv University, 6997801, Tel Aviv, Israel
1
arXiv:2210.00703v4 [math-ph] 7 Mar 2023
function in the thermodynamic limit, and the system at equilibrium exhibits a first-
order phase transition together with metastable states (see [7] for this derivation). For
Glauber dynamics, various scaling relations have been proposed, and one of them is
the scaling of the relaxation time near the critical point [1, 11].
To advance our understanding of Glauber dynamics, one may employ reliable and
well-developed mathematical theories. One of them is contact geometry whose central
object is the Gibbs 1-form dz pdq in the 3-dimensional thermodynamic phase space
equipped with coordinates z(minus free energy), p(magnetization), and q(exterior
magnetic field) [4]. The equilibrium submanifold of the mean field Ising model is rep-
resented by a smooth curve. The restriction of the Gibbs form to the equilibrium curve
vanishes, which manifests the fundamental thermodynamic relation. In the presence of
the 1st order phase transition, the equilibrium curves necessarily develop singularities
when projected to the (z, q)-plane. We are especially interested in so-called spinodal
points where such a singularity is a cusp. The interplay between scaling relations for
the relaxation time and the geometry of the equilibrium curve near a spinodal point is
the main theme of the present paper.
Another merit of contact geometry is that it provides a natural class of dynami-
cal systems, so called contact Hamiltonian flows on the thermodynamic phase space,
which preserve the Gibbs form up to a conformal factor. Loosely speaking, contact
Hamiltonian flows are odd-dimensional cousins of the standard Hamiltonian flows of
classical mechanics. Contact Hamiltonian flows model processes of nonequilibrium
thermodynamics (see e.g. [9, 8, 6, 3, 15, 4, 7]). In this paper, we focus on designing
a contact Hamiltonian system whose dynamics captures the equilibria and their sta-
bility patterns of the Glauber-Suzuki-Kubo ordinary differential equation (ODE) (5)
near critical points, show time-scales near critical points for the phase transition, and
compare this with other proposals in the literature. In addition to contact geometry,
we use some basics of singularity theory. Because of these, commonly used notations
employed in contact geometry are adopted in this paper.
2 Mean field Ising model
Thermodynamics of the mean field Ising model in the presence of a constant mag-
netic field qis described by its free energy (taken with the opposite sign) z, and
magnetization p, where zand pare obtained by dividing by the number of total spins
N. In obtaining the thermodynamic quantities zand pfrom the microscopic model
with the standard statistical method, the limit N1 has been taken. In addition,
the statistical average over spin variables is assumed to yield a proper scaling of Nso
that the existence of the thermodynamic limit is guaranteed. These involved variables
can be written in terms of commonly used notations in physics as shown in Table 1.
In equilibrium, we have the relations
p=φ0(q+bp), z =φ(q+bp)b
2p2,(1)
where φ(u) = β1ln (2 cosh(βu)) and the first equation represents the so-called self-
consistent equation (see e.g. [7]). The real parameter β > 0 is the inverse temperature,
2
Table 1: Notations of various quantities
Quantity Geometry oriented symbol Physics oriented symbol
Magnetization p m
Magnetic field q h
Interaction b J
Free energy z f
and b > 0 is determined by the strength of the interaction and the geometry of the
model. Equations (1) can be resolved as
q(p) = bp +1
2βln 1 + p
1p,
and
z(p) = 1
βln 2 1
2βln(1 p2)bp2
2.
Note that
z(p) = bp2
2pq(p) + 1 + p
2βln(1 + p) + 1p
2βln(1 p)1
βln 2 ,
which is another expression for the free energy of the mean field Ising model [2, formula
(13.1.14)],[12, formula (1)].
Consider the curve L={(q(p), p)},p(1,1) in the (q, p)-plane given by the first
equation in (1). The point (q, p) on Lwith q=q(p), dq/dp(p) = 0 is called the
spinodal. Spinodal points exist when
> 1,(2)
in which case the value of pis given by
p=±r11
,(3)
see Figure 2. In what follows, without loss of generality we choose the plus sign and
put q=q(p). The explicit expression of qin terms of band βis
q=bs1
+1
βarctanhs1
.
Note that q<0. Since dq/dp = 1/(dp/dq), spinodal points are where dp/dq diverges,
and they are physically interpreted as the points where a response of p(magnetization)
due to a change of q(exterior magnetic field) diverges.
In the present paper we study nonequilibrium thermodynamics of the mean field
Ising model in a small neighbourhood of the spinodal point. We deal with relaxation
3
Figure 1: Lagrangian projection of Λ to the (q, p)-plane.
processes where the magnetic field qis constant, while the magnetization p(t) converges
to a limit pas t→ ∞. For q6=q, we shall prove existence of the limit
τ1:= lim
t+
ln |p(t)p|
t.(4)
When τ > 0, we have an exponential convergence of p(t) to its equilibrium value. In
this case τis called the relaxation time. We shall focus on τas a function of the
magnetic field in two models of nonequilibrium thermodynamics.
The first model, a classical one, is Glauber dynamics. In [5] Glauber described a
Markov process which models relaxation of the Ising chain to the equilibrium. Fur-
thermore, Glauber [5] and later Suzuki and Kubo [14] proposed an ordinary differential
equation
˙p=p+φ0(q+bp),(5)
where qis constant, see equation (4.3) in [14], which provides a molecular field approx-
imation to the Markov evolution in the thermodynamic limit. One of the features of
this approximation is as follows. Consider the regime when > 1, cf. (2). In this
regime, for qfrom the interval (q,q) equation (5) has three equilibrium points: the
maximal and the minimal equilibria are stable, and the one in the middle is unstable.
The stable equilibrium having bigger free energy (i.e., the smaller value of z) corre-
sponds to the metastable equilibrium of the Markov process. Metastability, roughly
speaking, means that in the thermodynamic limit, i.e., as the size of the chain increases,
the chain spends larger and larger time in the metastable region, see Theorem 13.1 in
[2] for a precise formulation. Metastable equilibria are represented by a solid line on
Figure 2.
Convention: In this paper, by Glauber dynamics we mean the dynamics of ODE
(5). By the metastable equilibrium of (5) we mean the dynamically stable equilibrium
4
摘要:

ContactgeometricapproachtoGlauberdynamicsnearacuspanditslimitationShin-itiroGoto*,ShaiLerer„,LeonidPolterovich„March8,2023AbstractWestudyanonequilibriummean eldIsingmodelinthelowtemperaturephaseregime,wheremetastableequilibriumstatesdevelopacuspidal(spinodal)singularity.WefocusoncelebratedGlauberdyn...

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