A new universality class describes Vicsek’s flocking phase in physical dimensions (2024)
Patrick Jentschp.jentsch20@imperial.ac.ukDepartment of Bioengineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.Chiu Fan Leec.lee@imperial.ac.ukDepartment of Bioengineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
(February 2, 2024)
Abstract
The Vicsek simulation model of flocking together with its theoretical treatment by Toner and Tu in 1995 were two foundational cornerstones of active matter physics. However, despite the field’s tremendous progress, the actual universality class (UC) governing the scaling behavior of Viscek’s “flocking” phase remains elusive. Here, we use nonperturbative, functional renormalization group methods to analyze, numerically and analytically, a simplified version of the Toner-Tu model, and uncover a novel UC with scaling exponents that agree remarkably well with the values obtained in a recent simulation study by Mahault et al.[Phys.Rev.Lett.123, 218001 (2019)], in both two and three spatial dimensions. We therefore believe that there is strong evidence that the UC uncovered here describes Vicsek’s flocking phase.
Two papers in 1995 arguably led to the advent of active matter physics, which has in many ways revolutionized nonequilibrium, soft matter, and biological physics: Ref. [1] studied the order-disorder transition of an active model in two dimensions (2D) using a simulation model now commonly known as the Vicsek model; inspired by the appearance of an ordered (or “flocking”) phase in 2D (forbidden by the Mermin-Wagner-Hohenberg theorem in thermal systems), Toner and Tuintroduced a set of hydrodynamic equations of motion (EOM) for generic polar active fluids in Ref.[2], now known as the Toner-Tu (TT) model, and investigated the scaling behavior of such a flocking phase using a renormalization group (RG) analysis. Intriguingly, controversies soon emerged regarding these two landmark studies: the critical order-disorder transition, the focus of Ref.[1], was found to be pre-empted by a discontinuous phase transition [3]; the RG study performed in Ref.[2] was found to be incomplete due to neglected nonlinearities in the original analysis [4]. More recently, an extensive simulation study [5] of Vicsek’s flocking phase has provided estimates for the scaling exponents that deviate significantly from the original predictions of Ref.[2].As a result, the question of what universality class (UC) actually describes Vicsek’s flocking phase remains open. Indeed, a solution has been widely considered to be intractable using current RG methodology due to its inherent complexity [4].
Spatial dimension ()
this paper
Vicsek simulation [5]
incompressible [6, 7]
TT 95 / Malthusian [8]
this paper
Vicsek simulation [5]
TT 95 / incompressible [2, 9]
Malthusian [10]
Here, we made a significant step forward in tackling the above question using a functional renormalization group (FRG) [11, 12, 13, 14, 15, 16, 17, 18] analysis. Specifically, starting with a simplified version of the general TT EOM, our FRG calculation leads to a set of scaling relations that enable us to solve for the three scaling exponents: roughness exponent (), dynamic exponent (), and anisotropy exponent , which characterize the UC of the flocking phase.
Using the rescaling convention,
(1)
where, without loss of generality, the flocking direction is chosen to be along the -axis,these novel exponents are:
(2)
for where is the spatial dimension. Remarkably, the values of these exponents agree very well with the simulation results in both two and three dimensions (falling within the given simulation errors, see Table 1). Therefore, we believe that the new UC uncovered here describes the ordered phase of the Vicsek model.
Simplified Toner-Tu model.—We start with the celebrated TT EOM that describe generic compressible polar active fluids, derived simply from considering the underlying conservation law and symmetries of the system [2, 19, 4]:
(3)
(4)
where is the mass density field and is the momentum density field. Note that instead of using the velocity density field as one of the two hydrodynamic variables in the original formulation [2, 19], we have opted for the momentum field. The physics of course remains the same but this choice has the virtue of simplifying the continuity equation (3) by rendering it linear.In the EOM of (A new universality class describes Vicsek’s flocking phase in physical dimensions), all coefficients are generic functions of and , the “pressure” terms ’s are functions of :
(5)
where is the mean density, and the coefficients ’s and ’s are themselves functions of .Furthermore, “h.o.t.” in Eq.(A new universality class describes Vicsek’s flocking phase in physical dimensions) denotes higher order terms in spatial derivatives (e.g., , etc) that are irrelevant to our discussion, and the noise term is Gaussian with vanishing mean and statistics:
(6)
Finally, in addition to the usual terms, we have also introduced the Lagrange multiplier in Eq.(A new universality class describes Vicsek’s flocking phase in physical dimensions) to enforce that the fluctuations in along the flocking direction vanish (Simplification 1). While physically motivated by the fact that the mode is expected to be more “massive” due to the “potential” term , we note that our approximation here is more drastic than the conventional nonlinear sigma constraint (as used, e.g., in the original Toner-Tu treatment [19, 4]) because instead of constraining the fluctuations on the speed, we are constraining fluctuations along the ordered direction.
Besides Simplification 1, we will reduce the complexity further by ignoring all nonlinearities in the TT EOM involving the density field (Simplification 2). This simplification is motivated by the successes in previous studies of variants of the TT model where the density field is neglected [6, 9, 7, 8, 10]. Here, the density and momentum fields are of course still coupled at the linear level, which, as we shall see, leads to novel emergent hydrodynamic behavior.
Linear Theory.—In the flocking phase, the mean magnitude of the momentum field, , is nonzero and we are interested in the fluctuating fields around this flocking state:
(7)
where hats denote normalized vectors.We now further partition into three components that are more natural in our analysis: , where , , where denotes the wavevector (in spatially transformed Fourier space) perpendicular to the -direction, i.e., and . Namely, the three components of correspond to its component along the flocking direction, along the direction of the wavevector (with the -component subtracted), and along the direction perpendicular to both wavevector and flocking direction. Note that Simplification 1 enforces that here.
We now analyze the scaling behavior of the ordered phase at the linear level, i.e., by first truncating the TT EOM to linear order in , and . The propagators can thus be obtained by inverting the “dynamical matrix” constructed from the linear TT EOM [20]:
(8)
(9)
(10)
where we have defined , , and is the projector transverse to the and the longitudinal direction. Further we have defined , , and , which are all evaluated at . Since , is perpendicular to .
The equal-time correlation functions can then be obtained in the usual way, giving,
(11)
(12)
(13)
where .In particular, our linear analysis identifies the following scaling exponents , and ,which, as expected, are identical to those in previous works [2, 19, 4].
Nonlinear analysis using FRG.— Applying Simplification 2 to eliminate all nonlinearities involving , the only nonlinearities left are terms involving the ’s and , which become independent of .The standard power counting method (e.g., see [21]) shows that below , the leading order contributions of these nonlinearities (i.e., the ’s, which are no longer functions of , and ) can modify the scaling behavior and thus have to be incorporated into the analysis.RG methods provide a systematic way to accomplish this task and we will use here the functional version of the renormalization group based on the exact Wetterich equation [11, 12, 13]:
(14)
where is the wavelength () dependent effective average actionand is a regulator that serves to control the length scale () beyond which fluctuations are averaged over. The exact flow equation (14) serves to interpolate between the microscopic action (where all model details are encoded) and the macroscopic effective average action , from which the EOM for the averages of the fields can be obtained.The trace is a sum over all degrees of freedom, i.e., over all field indices, wavevectors and frequencies, and is the matrix containing the second order functional derivatives of with respect to the fields. The boundary conditions for described above are enforced by requiring that and . Otherwise, it can be chosen freely, and in principle is independent of that choice. In practice, we typically constrain the form of the microscopic action in order to close the flow equations with a finite number of coefficients, which are now also dependent on .
To proceed with our NPRG analysis, we use the Martin-Siggia-Rose-de Dominicis-Janssen formalism [22, 23, 24, 18], introducing the response fields and , to obtain a scalar action that describes our theory at the microscopic scale . Making all microscopic couplings dependent on (not written explicitly), we obtain an Ansatz for the scale-dependent effective average action,
where we have defined .We have also introduced the coefficient to allow for the potential renormalization of the time-derivative term. Due to its linear structure, the “density sector” (proportional to ) does not get renormalized [25, 26], and therefore its coefficients remain unity.
The last ingredient in the FRG formulation is the regulator, which we choose to be [27],
(15)
where is a smooth, nonzero function that approaches the Heaviside function in the limit of , which is to be taken at the end of the calculation. Note that the regulator effectively modifies the propagators with a factor independent of frequency and wavenumber in -direction . With this property, we are able to evaluate all integrals in the trace of Eq.(14) analytically, except the -integral. We further note that since the regulator has the same structure as the propagator, even though it is frequency dependent, causality is preserved [18].
RG fixed points.—With the regulator and ansatz defined, we can now deduce the flow equations, for which we rely on computer algebra due to the complexity of the propagators and interaction terms. Further details are given in Ref.[20].
Integrating the flow equations numerically, we always find a nontrivial stable fixed point. The associated scaling exponents are shown in Fig.1 (blue squares). For dimensions , the scaling exponents agree with those obtained by Toner and Tu in Refs.[2, 19]:
(16)
Intriguingly, below , the values of the exponents are found to agree with the new formula shown inEq.(2), until for when the RG flow seems to become divergent. We hypothesize that the divergence is due to our truncation/simplification of the scale-dependent average action, as we reason that the density-dependent couplings could become more important in lower dimensions and potentially stabilize the RG flow.
We interpret our findings as follows. The flocking phase of our simplified TT model is generically described by the TT UC for . Below , a new stable RG fixed point, with scaling behavior given by Eq.(2), emerges. And comparing the values of the exponents obtained using Eq.(2) to a recent simulation study [5] (red stars in Fig.1), we believe that the UC uncovered here describes the ordered phase of the Vicsek model. Schematics of the RG flows illustrating the stability exchange between the TT UC and the UC described here are shown in Fig.2 in terms of the anomalous dimensions and , defined as the graphical corrections of and ,
(17)
(18)
Analytical Treatment.—We will now go beyond our numerical FRG calculation by using an analytical approach, whose advantage is threefold: i) to obtain analytical expressions of the scaling exponents (2) beyond relying on fitting the numerical results; ii) to understand why the values of the exponents seem to be quantitatively accurate in , as compared to simulations, even with drastic truncations/approximations adopted, and iii) to verify the exchange of stability between the TT UC and our new UC at .
To make analytical process, we start by noting that within the linear theory, the “compressibility” term and the advective term are expected to diverge as , on account of their scaling dimensions based on both linear and nonlinear analyses. We can therefore approximate the flow equations by assuming the divergence of these terms (or more specifically their dimensionless versions: and ) [20]. Taking this limit, some of the graphical corrections (for , and ) vanish, while others (, , , and ) become finite, but completely independent of and [20].
Unexpectedly, different behaviour is observed for the graphical corrections of ,
(19)
where and is the three-point momentum density vertex (shown in Ref.[20]). First, contrarily to the other corrections, the limit of large and does not commute with the integral over in Eq.(19). If the limit is performed before the integral, one would incorrectly conclude that this correction vanishes. Evaluated in the correct order however, we find via numerical evaluation of Eq.(19) that, as both and diverge, and , and approach a fixed point value (marked by an asterisk), the function behaves asymptotically as
(20)
where asterisks denote fixed point values and has the asymptotic properties, and [20]. The flow equations therefore only allow a fixed point for two possible scenarios. Either tends to infinity fast enough such that , in which case and the TT UC is recovered, or and diverge in such a way that the ratio approaches a constant value, leading to the new UC uncovered here. Specifically, since neither nor receive any graphical corrections in this limit, using the standard rescaling, we can write down an effective flow equation for :
(21)
with precisely two fixed points: either or . In the latter case, the exponents have to fulfill the hyperscaling relation:
(22)
Together with the scaling relations from the vanishing graphical corrections for and (also obtained in Refs [2, 19]):
(23)
(24)
we can determine the analytical expressions of the exponents in Eq.(2). Further, our calculation here applies below , thus extending our numerical FRG results to d=2.
Since the exponents are determined by the various scaling relations and therefore independent of the exact locations of the fixed points, we believe them to be robust against approximations. Indeed, exact exponents have been claimed for diverse systems based on scaling relations [28, 2, 9, 29, 30, 31, 32]. Further testing the exactness of the exponents (2), via simulation or numerical FRG methods, will thus be of great interest.
Finally, we can support the scenario regarding the exchange of stabilities between the TT UC and our novel UC (Fig.2) by expanding Eq.(21) around the TT fixed point at ,
(25)
which clearly becomes unstable below . Further supporting evidence is that the exponents of both TT UC (16) and our UC (2) coincide at , as expected from such an exchange of fixed point stabilities.
Summary & Outlook.—The Vicsek model together with the Toner-Tu theoretical formulation of polar active fluids helped propel active matter physics into a well-known discipline of physics today, and along the way inspired diverse variations of flocking models that are found to correspond to many novel UCs [8, 33, 6, 9, 34, 29, 35, 10, 36, 37, 31, 38, 39, 40, 26, 32, 41].Ironically, the UC that governs Vicsek’s original flocking phase has remained unknown, perhaps until now.Besides potentially explaining the universal flocking behavior of the Vicsek model, our nonperturbative, FRG calculation may also refute the recent questioning of the stability of the flocking phase [42, 43] in , at least when the active systems are deep enough in the ordered phase.
Going beyond, an immediate open question is: why would Vicsek’s flocking phase correspond to the simplified TT model considered here? Another open question iswhether the ordered phase of the general TT model (without imposing our simplifications) also corresponds to the UC uncovered in this work.Finally, the RG has traditionally been perceived as less of a quantitative tool but more of a conceptual means to elucidating the underlying physics [44]; in contrast, our work shows that RG methodology can quantify physical properties accurately, thus demonstrating the power of the RG not readily appreciated by many physicists. Indeed, FRG methodology has already been used in several other disciplines of physics to provide quantitatively accurate predictions of both universal and nonuniversal quantities [17]. We believe that similar developments in active matter physics will be very fruitful.
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