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Collective steady-state patterns of swarmalators with finite-cutoff interaction distance

Hyun Keun Lee Department of Physics, Sungkyunkwan University, Suwon 16419, Korea    Kangmo Yeo Department of Physics, Jeonbuk National University, Jeonju 54896, Korea    Hyunsuk Hong [email protected] Department of Physics, Jeonbuk National University, Jeonju 54896, Korea Research Institute of Physics and Chemistry, Jeonbuk National University, Jeonju 54896, Korea
Abstract

We study the steady-state patterns of population of the coupled oscillators that sync and swarm, where the interaction distances among oscillators have finite-cutoff in interaction distance. We examine how the static patterns known in the infinite-cutoff are reproduced or deformed, and explore a new static pattern that does not appear until a finite-cutoff is considered. All steady-state patterns of the infinite-cutoff, static sync, static async, and static phase wave are respectively repeated in space for proper finite-cutoff ranges. Their deformation in shape and density takes place for the other finite-cutoff ranges. Bar-like phase wave states are observed, which has not been the case for the infinite-cutoff. All the patterns are investigated via numerical and theoretical analysis.

Swarming [1] is the collective behavior of biological/artificial entities in the absence of centralized coordination. Interaction between agents is the reason for the behavior, and thus its modeling is a core task to understand or control the emergent phenomena. Recently, a steady state pattern was studied [2] for the overdamped limit model with potential while motivated by biological aggregations in viscous liquid, and the static feature later becomes various [3] as self-propelling factor is implemented through the phase dynamics of synchronization [4]. The interaction therein is mediated by a potential function that may change in time. We here consider the cutoff of interaction distance to model the fact that the distance any living/engineering entities can manage is necessarily finite. The previously understood static feature lasts till the cutoff is larger than the size of the pattern formed in the absence of cutoff. For the smaller cutoff, the pattern is deformed in an explainable manner, and then it becomes amorphous or non-stationary for further decrease. A new class of static structures not appearing in the no-cutoff model is observed and specified. Phase diagram for the steady-state patterns according to the cutoff distance is illustrated. Finite-cutoff of interaction distance makes the swarm behavior prolific as combined with underlying potential.

I introduction

Synchronization in the population of coupled oscillators has been widely explored. In particular, not only mathematical models but also various experimental systems have been considered to investigate the synchronization behavior [5, 6, 7, 8, 9, 10, 11, 4, 12, 13, 14, 15]. In one recent study [3], the oscillators that also swarm [2, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] was introduced while called swarmalator, and the self-organization in space and time was reported. Three steady states and two nonstationary ones have been found in the swarmalators model with long-range attraction and repulsion. The swarmalator model is followed by various researches [26, 27, 28, 29, 30, 31, 32, 33] in its novel modeling of collective behaviors and practical applicability as well.

According to Refs. [2, 3], the spatial sizes of the steady-state patterns are finite when the interaction distance is long-ranged of no cutoff or infinite-cutoff. Here, one may expect there can be a finite-cutoff in interaction range, for which the result is qualitatively same in the sense that all the steady-state patterns by the long range interaction are reproduced. If a specific pattern known for the infinite-cutoff is the target of biological or engineering swarms, a proper interaction-range cutoff larger than the pattern’s size could be enough. If an interaction range is smaller than this cutoff but still comparable, a describable change of the pattern is expected. Moreover, since the realization of infinite range interaction is by itself impractical, the system with finite-cutoff has actual implications. The various spatiotemoral constraints [29, 30] are indeed the factual barriers in realizing the notion of swarmalators. All of these motivate the current work.

In this paper, we consider the local interaction among the swarmalators, where the interaction range is restricted by a control parameter, and explore the collective steady states of the system. We examine how the steady-state patterns of the system with long-range interaction are deformed in the understandable way and also pay special attention to the possibility of new steady states. This paper consists of five sections. Section II introduces the model, and Sec. III revisits the system with infinite-cutoff (global interaction). In Sec. IV, the finite-cutoff interaction is considered, and the various steady-state patterns are demonstrated. Section V gives a brief summary.

II model

We consider a population of oscillators governed by

𝐫˙i\displaystyle\dot{\bf r}_{i} =\displaystyle= 1Ni(rc)jΛi(rc)[(1+Jcos(θjθi))1rij2]\displaystyle\frac{1}{N_{i}(r_{\rm c})}\sum_{j\in\Lambda_{i}(r_{\rm c})}\left[\Big{(}1+J\cos(\theta_{j}-\theta_{i})\Big{)}-\frac{1}{r^{2}_{ij}}\right] (1)
×(𝐫j𝐫i),\displaystyle~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}~{}\times\Big{(}{\bf r}_{j}-{\bf r}_{i}\Big{)},
θ˙i\displaystyle\dot{\theta}_{i} =\displaystyle= ωi+KNjisin(θjθi)rij,\displaystyle\omega_{i}+\frac{K}{N}\sum_{j\neq i}\frac{\sin(\theta_{j}-\theta_{i})}{r_{ij}}, (2)

where 𝐫i=𝐫i(t)=(xi(t),yi(t)){\bf r}_{i}={\bf r}_{i}(t)=(x_{i}(t),y_{i}(t)) is the position vector of agent ii at time tt in 2-dimensional space with rij|𝐫i𝐫j|r_{ij}\equiv|{\bf r}_{i}-{\bf r}_{j}| and θi=θi(t)\theta_{i}=\theta_{i}(t) is the ii’s phase angle. Note that the dynamics governed by Eqs. (1) and (2) makes the oscillators swarm and sync. Considering such characteristic we here call the oscillators swarmalators, following the Ref. [3]. Ni(rc)N_{i}(r_{\rm c}) is the number of members in the collection Λi(rc)\Lambda_{i}(r_{\rm c}) composed of such swarmalators whose distances to ii are not greater than rcr_{c} (see Fig. 1). This way, the interaction range of spatial dynamics is bounded by rcr_{\rm c}.

Refer to caption
Figure 1: (Color Online) Schematic diagram for the one swarmalator’s neighbors controlled by the range parameter rcr_{c}. Here the dots represent the swarmalators and the colors their phases θ([π,π))\theta(\in[-\pi,\pi)).

JJ is the parameter for attraction with |J|1|J|\leq 1, for which J=1J=1 is used in the numerical work below. ωi\omega_{i} is the natural frequency of ii, KK is a coupling strength of phase and NN is the total number of swarmalators in system. We consider identical swarmalators with ωi=0\omega_{i}=0 for all ii in this work.

In the rcr_{\rm c}\to\infty limit, when J=0J=0, Eq. (1) recovers the model suggested in Ref. [2] of special interest in the formation of uniform density and identical radius disc of swarms. The motion of 𝐫i{\bf r}_{i} for J=0J=0 is basically a gradient flow as each summand can be rewritten by the gradient of a scalar function for rijr_{ij}. As Eq. (1) with J=0J=0 is motivated by the biological aggregations in viscous liquid [21, 25], the inertia effect is ignored to set up an overdamped limit equation [34]. Next when J0J\neq 0, Eqs. (1) and (2) corresponds to one of the models in Ref. [3], which share common feature of various active and static phases of the swarmalators. Due to the phase variables in Eq. (1), which change in time by Eq. (2), the motion of 𝐫i{\bf r}_{i} now has self-propelling property [17, 18, 19]. Equation (2) is a variant of the Kuramoto model [6, 7], i.e., the coupling strength KK in this prototype model is generalized to Kij=K/rijK_{ij}=K/r_{ij} in Eq. (2) in order to reflect the spatial configuration in phase dynamics. This was suggested in Ref. [3] to generate pairing current of the swarmalators in a proper range of negative KK with rc=r_{\rm c}=\infty.

III steady states for infinite cutoff

According to Refs. [2, 3], there are three steady-state patterns when rc=r_{\rm c}=\infty. As we are interested in their reproduction or moderate change for finite rcr_{\rm c}, we begin with explaining the three patterns, in a comprehensive way as possible. In the steady states, r˙i=0\dot{r}_{i}=0 and θ˙i=0\dot{\theta}_{i}=0 for all ii. Therefore, as its continuum counterpart such as velocity field 𝐯(𝐫){\bf v}({\bf r}) at position 𝐫{\bf r}, it is reasonable to set 𝐯(𝐫)=0{\bf v}({\bf r})=0. When one considers a proper coarse-grain of Eq. (1) in the steady states, the velocity field reads

𝐯(𝐫)=𝑑𝐫(𝐫U(𝐫,𝐫))ρ(𝐫)=0,{\bf v}({\bf r})=\int d{\bf r}^{\prime}\left(-\nabla_{{\bf r}}U({\bf r},{\bf r}^{\prime})\right)\rho({\bf r}^{\prime})=0, (3)

where

U(𝐫,𝐫)\displaystyle U({\bf r},{\bf r}^{\prime}) =\displaystyle= 12|𝐫𝐫|2(1+Jcos(θ(𝐫)θ(𝐫)))ln|𝐫𝐫|\displaystyle\frac{1}{2}|{\bf r}-{\bf r}^{\prime}|^{2}(1+J\cos(\theta({\bf r})-\theta({\bf r}^{\prime})))-\ln|{\bf r}-{\bf r}^{\prime}| (4)
\displaystyle\equiv Uatt(𝐫,𝐫)+Urep(𝐫,𝐫)\displaystyle U_{\rm att}({\bf r},{\bf r}^{\prime})+U_{\rm rep}({\bf r},{\bf r}^{\prime})

with phase field θ(𝐫)\theta({\bf r}), and ρ(𝐫)\rho({\bf r}) is the steady-state density of swarmalators at position 𝐫{\bf r} with normalization 𝑑𝐫ρ(𝐫)=1\int d{\bf r}\rho({\bf r})=1. As Eq. (3) holds for all 𝐫{\bf r}, it also holds that 𝐫𝐯(𝐫)=0\nabla_{\bf r}\cdot{\bf v}({\bf r})=0. Then, in the fact that 𝐫2Urep(𝐫,𝐫)=2πδ(𝐫𝐫)\nabla_{\bf r}^{2}U_{\rm rep}({\bf r},{\bf r}^{\prime})=2\pi\delta({\bf r}-{\bf r}^{\prime}) [35], one finds a self-consistent equation for ρ(𝐫)\rho({\bf r}), which is given by

ρ(𝐫)\displaystyle\rho({\bf r}) =\displaystyle= 12π𝑑𝐫𝐫2Uatt(𝐫,𝐫)ρ(𝐫).\displaystyle\frac{1}{2\pi}\int d{\bf r}^{\prime}\nabla_{\bf r}^{2}U_{\rm att}({\bf r},{\bf r}^{\prime})\rho({\bf r}^{\prime}). (5)

This self-consistent equation plays a central role in finding the steady-state patterns in the help of other information like symmetry and/or numerical observations.

One of the three steady-state patterns appears when K>0K>0. For positive KK, Eq. (2) derives the system to phase synchronization state of a common phase θs\theta_{\rm s}. Then, Eq. (1) becomes free from phase as cos(θjθi)1\cos(\theta_{j}-\theta_{i})\to 1 as evolution goes on. In the steady state, therefore, it reads

Uatt(𝐫,𝐫)=12|𝐫𝐫|2(1+J).U_{\rm att}({\bf r},{\bf r}^{\prime})=\frac{1}{2}|{\bf r}-{\bf r}^{\prime}|^{2}(1+J). (6)

When this is considered in Eq. (5) in the two-dimensional (x,y)(x,y) coordinate, since 𝐫2Uatt(𝐫,𝐫)=2(1+J)\nabla_{\bf r}^{2}U_{\rm att}({\bf r},{\bf r}^{\prime})=2(1+J) is constant, using 𝑑𝐫ρ(𝐫)=1\int d{\bf r}^{\prime}\rho({\bf r}^{\prime})=1, ρ(𝐫)=(1+J)/π\rho({\bf r})=(1+J)/\pi is immediate. Next, it should be answered where to reside.

The center of positions is conserved by the symmetric pairs of changes in Eq. (1). Thus when the center is used as the origin, it is natural to expect the rotational symmetry of density, i.e., ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r) for r=|𝐫|r=|{\bf r}|. The numerical results always give such distributions that strongly suggest a circular ρ(𝐫)\rho({\bf r}) as shown in Fig. 2(a).

Refer to caption
Figure 2: (Color Online) Three steady-state patterns known in the rcr_{\rm c}\to\infty limit [3]: (a) is the static sync (SS) when K>0K>0. (b) is the static async (SA) when K<KcK<K_{\rm c} for a negative critical value KcK_{\rm c}. (c) is the static phase wave (SPW) when K=0K=0. For numerical realization, N=200N=200 system with J=1J=1 is considered. K=1K=1 and K=2K=-2 are used for (a) and (b), respectively. The black circles therein guide the associated radius analytically understood (see text).

Thus when this is considered in Eq. (5), it follows that

ρ(𝐫)=1πRs2forr<Rs,\rho({\bf r})=\frac{1}{\pi R_{\rm s}^{2}}~{}~{}{\rm for}~{}~{}r<R_{\rm s}, (7)

where RsR_{\rm s} is given by

Rs=1/1+J.R_{\rm s}=1/\sqrt{1+J}. (8)

Interestingly, the density is uniform and the radius depends only on JJ. The pattern by Eqs. (7) and (8) was named the static sync (SS) [3].

The steady-state condition [Eq. (3)] holds for Eq. (7) as follows. When

V(𝐫)=𝑑𝐫U(𝐫,𝐫)ρ(𝐫)V({\bf r})=\int d{\bf r}^{\prime}U({\bf r},{\bf r}^{\prime})\rho({\bf r}^{\prime}) (9)

is introduced, 𝐫𝐯(𝐫)=0\nabla_{\bf r}\cdot{\bf v}({\bf r})=0 corresponds to Laplace’s equation 𝐫2V(𝐫)=0\nabla_{\bf r}^{2}V({\bf r})=0. Thus, ρ(𝐫)\rho({\bf r}) of Eq. (5) gives V(𝐫)V({\bf r}) of the Laplace’s equation, and this is mediated by Eq. (9). As V(𝐫)=V(r)V({\bf r})=V(r) by Uatt(𝐫,𝐫)=Uatt(|𝐫𝐫|)U_{\rm att}({\bf r},{\bf r}^{\prime})=U_{\rm att}(|{\bf r}-{\bf r}^{\prime}|) in Eq. (6) and ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r) in Eq. (7), the solution of the Laplace’s equation is given by such cylindrical harmonics of no longitudinal neither angular dependence. Then, the choice should be [35] V(𝐫)1V({\bf r})\propto 1 exclusively or lnr\ln r. Here, one excludes the latter as V(𝐫)V({\bf r}) remains finite at 𝐫=0{\bf r}=0 in a simple calculation of Eq. (9) with Eqs. (6) and (7). Thus, 𝐯(𝐫)=𝐫V(𝐫)=0{\bf v}({\bf r})=-\nabla_{\bf r}\cdot V({\bf r})=0 is immediate for constant V(𝐫)V({\bf r}).

The second steady-state pattern appears [3] when K<Kc<0K<K_{\rm c}<0 holds for a negative critical value Kc1.2JK_{\rm c}\approx-1.2J. For negative KK, uniform θi\theta_{i} is unstable in Eq. (2), and an erratic profile (asynchrony) would appear. Below KcK_{\rm c}, if the configuration of θi\theta_{i} is erratic enough, the summation of the sinusoidal part of Eq. (1) may vanish. When this is the case, Uatt(𝐫,𝐫)=(1/2)|𝐫𝐫|2U_{\rm att}({\bf r},{\bf r}^{\prime})=(1/2)|{\bf r}-{\bf r}^{\prime}|^{2} reads. This is no more than Eq. (6) with J=0J=0, from which it follows that

ρ(𝐫)=1πforr<Ra=1.\rho({\bf r})=\frac{1}{\pi}~{}~{}{\rm for}~{}~{}r<R_{\rm a}=1. (10)

This result of uniform density and unit radius successively explains the numerical data shown in Fig. 2(b). This pattern was named the static async (SA) [3].

The third steady-state pattern appears [3] when K=0K=0. For K=0K=0, one trivially reads θ˙i=0\dot{\theta}_{i}=0 in Eq. (2). The numerical data shown in Fig. 2(c) indicates θi\theta_{i} can be replaced with the spatial angle ϕi\phi_{i} of 𝐫i{\bf r}_{i}; θi=ϕi+c\theta_{i}=\phi_{i}+c for a constant cc. Then, in polar coordinate 𝐫=(r,ϕ){\bf r}=(r,\phi), it reads

Uatt(𝐫,𝐫)\displaystyle U_{\rm att}({\bf r},{\bf r}^{\prime}) =\displaystyle= 12(r2+r22rrcos(ϕϕ))\displaystyle\frac{1}{2}\left(r^{2}+r^{\prime 2}-2rr^{\prime}\cos(\phi-\phi^{\prime})\right) (11)
×(1+Jcos(ϕϕ)).\displaystyle~{}~{}\times\left(1+J\cos(\phi-\phi^{\prime})\right).

Using Eq. (11), we find its Laplacian is given by

𝐫2Uatt(𝐫,𝐫)\displaystyle\nabla_{\bf r}^{2}U_{\rm att}({\bf r},{\bf r}^{\prime}) =\displaystyle= 2Jr2r+f1(r,r)cos(ϕϕ)\displaystyle 2-\frac{Jr^{\prime}}{2r}+f_{1}(r,r^{\prime})\cos(\phi-\phi^{\prime}) (12)
+f2(r,r)cos2(ϕϕ)\displaystyle~{}~{}~{}~{}~{}~{}+f_{2}(r,r^{\prime})\cos 2(\phi-\phi^{\prime})

for proper functions f1(r,r)f_{1}(r,r^{\prime}) and f2(r,r)f_{2}(r,r^{\prime}). Also, the numerically observed circular strip suggests that ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r). Plugging this and Eq. (12) into Eq. (5), one finds

ρ(𝐫)=1πCrforR1<r<R2\rho({\bf r})=\frac{1}{\pi}-\frac{C}{r}~{}~{}{\rm for}~{}~{}R_{1}<r<R_{2} (13)

for constant CC. One again considers Eq. (13) in Eq. (5) to know

C=2J(R23R13)3π(4+J(R22R12)).C=\frac{2J(R_{2}^{3}-R_{1}^{3})}{3\pi(4+J(R_{2}^{2}-R_{1}^{2}))}. (14)

Normalization of ρ(𝐫)\rho({\bf r}) gives

(2πCR1R2)(R1R2)=1.(2\pi C-R_{1}-R_{2})(R_{1}-R_{2})=1. (15)

To fix the solution, one may refer to Eq. (3) of 𝐯(𝐫)=0{\bf v}({\bf r})=0. This requires vanishing radial component because 𝐯(𝐫)=(vatt(r)+vrep(r))𝐫^{\bf v}({\bf r})=(v_{\rm att}(r)\ +v_{\rm rep}(r))\hat{\bf r} in Uatt/rep(𝐫,𝐫)=Uatt/rep(|𝐫𝐫|)U_{\rm att/rep}({\bf r},{\bf r}^{\prime})=U_{\rm att/rep}(|{\bf r}-{\bf r}^{\prime}|) and ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r), where 𝐫^𝐫/r\hat{\bf r}\equiv{\bf r}/r is the unit vector in radial direction. Attraction part is

vatt(r)\displaystyle v_{\rm att}(r) =\displaystyle= 𝑑𝐫(rUatt(𝐫,𝐫))ρ(r)\displaystyle\int d{\bf r}^{\prime}(-\partial_{r}U_{\rm att}({\bf r},{\bf r}^{\prime}))\rho(r^{\prime})
=\displaystyle= (R22R122πC(R2R1))r2πC.\displaystyle(R_{2}^{2}-R_{1}^{2}-2\pi C(R_{2}-R_{1}))r-2\pi C.

For repulsion part, one can use the divergence theorem [35] and 𝐫′′2Urep(𝐫′′,𝐫)=2πδ(𝐫′′𝐫)\nabla_{{\bf r}^{\prime\prime}}^{2}U_{\rm rep}({\bf r}^{\prime\prime},{\bf r}^{\prime})=2\pi\delta({\bf r}^{\prime\prime}-{\bf r}^{\prime}) to write

2πrvrep(r)\displaystyle 2\pi rv_{\rm rep}(r) =\displaystyle= R1r′′r𝑑𝐫′′𝑑𝐫𝐫′′2Urep(𝐫′′,𝐫)ρ(r)\displaystyle-\int_{R_{1}\leq r^{\prime\prime}\leq r}d{\bf r}^{\prime\prime}\int d{\bf r}^{\prime}\nabla_{{\bf r}^{\prime\prime}}^{2}U_{\rm rep}({\bf r}^{\prime\prime},{\bf r}^{\prime})\rho(r^{\prime}) (17)
=\displaystyle= 2π(2πC(rR1)(r2R12)).\displaystyle 2\pi\left(2\pi C(r-R_{1})-(r^{2}-R_{1}^{2})\right).

With Eqs. (III) and (17), one knows vatt(r)+vrep(r)=0v_{\rm att}(r)+v_{\rm rep}(r)=0 is possible only when

2πC=R1.2\pi C=R_{1}. (18)

Using Eq. (18), one obtains in Eqs. (14) and (15) that

R1\displaystyle R_{1} =\displaystyle= ΛJ((12J)33(4+J)(125J))/12J\displaystyle\Lambda_{J}((12-J)\sqrt{3}-3\sqrt{(4+J)(12-5J)})/12J
R2\displaystyle R_{2} =\displaystyle= ΛJ/23\displaystyle\Lambda_{J}/2\sqrt{3} (19)

for ΛJ((123J+3(4+J)(125J))/(2J))1/2\Lambda_{J}\equiv((12-3J+\sqrt{3(4+J)(12-5J)})/(2-J))^{1/2}. Then, Eqs. (18) and (III) fixes the solution in Eq. (13). This was named the static phase wave (SPW) [3].

IV Finite-cutoff of interaction distance

In the numerical study with finite rcr_{\rm c}, we have observed various steady-state patterns. Some of them are same as those in the rcr_{\rm c}\to\infty limit, another ones are their proper deformations, and the others are classified as a new class. The three classes appear in order as rcr_{\rm c} decreases, and the shape becomes amorphous or non-stationary for further decrease. In the following, the observed patterns are understood and/or described by exploiting Eq. (5), the self-consistent equation for density.

IV.1 SS for rc>2Rsr_{\rm c}>2R_{\rm s}

For finite rc>2Rsr_{\rm c}>2R_{\rm s}, the system with positive coupling strength KK is found to be in SS. It is interesting to note that the steady state with multiple discs in SS is discovered (see Fig. 3). Multiple discs of SS have not been found in the system with rc=r_{\rm c}=\infty. Figure 3 is the numerical results of N=800N=800 system for rc=1.5r_{\rm c}=1.5 when K=0.1K=0.1 and J=1J=1 (we below fix J=1J=1), displaying the process how the multiple discs of SS are formed.

Refer to caption
Figure 3: (Color Online) Formation of sync state pattern for rc=1.5r_{\rm c}=1.5 in N=800N=800 system with K=0.1K=0.1 and J=1J=1 in the long time limit. Each panel is a snapshot at the specified time TT at left upper corner. Multiple SS discs are finally formed as shown in the last panel. For initial condition, uniformly random positions sampled out of L×LL\times L square at origin was used for L=2L=2 (this type of initialization is applied below in this work).

The radius of the discs is, in common, 1/2\approx 1/\sqrt{2} that reminds us of RsR_{\rm s} in Eq. (8) with J=1J=1. A simple explanation of this numerical observation is following; the swarmalators are divided into three groups apart from others farther than rcr_{\rm c} during transient period, and each group evolves into its own steady state. The snapshots are shown in Fig. 3, from initial T=0T=0 via transient T=50,100T=50,~{}100 to final T=1000T=1000.

Once a number of swarms is included in a circular region of radius rcr_{\rm c} and this region is separated from the others farther than rcr_{\rm c}, the dynamics taking place thereafter in the region is identical to that by rc=r_{\rm c}=\infty. If there are several regions separated that way (the number of regions depends on initial condition), the same number of patterns finally appears. We note, when rc>2Rsr_{\rm c}>2R_{\rm s}, the self-consistent equation for density [Eq. (5)] does not change from that for rc=r_{\rm c}=\infty. Then, each final pattern becomes no more than the SS of Eqs. (7) and (8). As expected, the discs in the last snapshot are, in common, of radius 1/21/\sqrt{2} with their own uniform densities. The minimal separation between the discs is 2Rs2R_{\rm s} as a consequence of the condition rc>2Rsr_{\rm c}>2R_{\rm s}.

With no loss of generality, the condition rc>2Rsr_{\rm c}>2R_{\rm s} considered for SS case is generalized to

rc>D,r_{\rm c}>D_{\infty}~{}, (20)

where DD_{\infty} is the diameter of a pattern appearing in the rcr_{\rm c}\to\infty limit. It can be SA or SPW beside SS depending on KK. That is, any of them is expected in the same reason when Eq. (20) holds and, when repeated, the minimal separation is given by the diameter.

IV.2 SA for rc>2Rar_{\rm c}>2R_{\rm a}

In case of static async, D=2RaD_{\infty}=2R_{\rm a}. Thus by Eq. (20), SA should appear for finite rc>2Rar_{\rm c}>2R_{\rm a} when the negatively strong coupling (K<Kc<0)(K<K_{c}<0) is provided. As expected, the system is found to be in SA where the phases of all the swarmalators are random in the full range of [π,π)[-\pi,\pi). Also, similar to the previous sync case, the steady state composed of multiple discs of SA is discovered, which has not been found in the system with rc=r_{\rm{c}}=\infty. Figure 4 shows multiple SA discs for rc=2.1r_{\rm c}=2.1 (note D=2Ra=2D_{\infty}=2R_{\rm a}=2 for SA).

Refer to caption
Figure 4: (Color Online) Multiple SA discs in N=400N=400 system with rc=2.1r_{\rm c}=2.1 when K=8K=-8 and J=1J=1. For initial condition, that for Fig. 3 was used with L=10L=10.

IV.3 Anomalous SS/SA with nonuniform radial density

Next, we find there appear anomalous steady-state patterns for rc<2Rsr_{\rm c}<2R_{\rm s} when K>0K>0, as shown in Fig. 5(a) and (b).

Refer to caption
Figure 5: (Color Online) Anomalous static states of N=200N=200 system and supporting schematics: Anomalous static sync (aSS) in (a) and (b) are, respectively, the case when rc=1.3r_{\rm c}=1.3 and rc=1.2r_{\rm c}=1.2 for K=0.1K=0.1 and J=1J=1. Anomalous static async (aSA) in (c) is when rc=1.7r_{\rm c}=1.7 for K=2K=-2 and J=1J=1. The geometric condition required for these patterns are depicted in (d). The red arrow therein guides to the eyes, showing the relation given by Eq. (23). Schematic of radial density is illustrated in (e). In (d) and (e), RsR_{\rm s} and RsR_{\rm s}^{\prime} are replaced with RaR_{\rm a} and RaR_{\rm a}^{\prime}, respectively, in the async case.

Because Eq. (20) does not hold this time for D=2RsD_{\infty}=2R_{\rm s}, what a different pattern may form was in question, and the shown anomalous disc is the result to be understood. The radius becomes larger to Rs+ΔR_{\rm s}+\Delta. The density looks uniform inside the region of radius Rs(<Rs)R_{\rm s}^{\prime}(<R_{\rm s}) while decreases thereafter. These observations can be explained with Eq. (5) as follows.

For finite rcr_{\rm c}, it is given from Eq. (6) that

𝐫2Uatt(𝐫,𝐫)=2(1+J)H(rc|𝐫𝐫|),\nabla_{\bf r}^{2}U_{\rm att}({\bf r},{\bf r}^{\prime})=2(1+J)H(r_{\rm c}-|{\bf r}-{\bf r}^{\prime}|), (21)

where H(x)H(x) is the Heaviside step-function assigned with 11 for x0x\geq 0, or 0 otherwise. Plugging Eq. (21) into Eq. (5) with the numerical observation ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r), one may consider the geometric situations by Rs+ΔR_{\rm s}+\Delta, RsR_{\rm s}^{\prime}, and rcr_{\rm c}. Figure 5(d) shows a situation when the interaction range of radius rcr_{\rm c} marginally covers the whole distribution of radius Rs+ΔR_{\rm s}+\Delta; see the blue arc and the dashed circle tangentially meet. Then, since 𝐫2Uatt(𝐫,𝐫)\nabla_{\bf r}^{2}U_{\rm att}({\bf r},{\bf r}^{\prime}) is constant in the interaction range, Eq. (5) gives ρ(r=Rs)=(2π)12(1+J)𝑑𝐫H(rc|𝐫𝐫|)ρ(r)=((1+J)/π)𝑑𝐫ρ(r)=(1+J)/π\rho(r=R_{\rm s}^{\prime})=(2\pi)^{-1}2(1+J)\int d{\bf r}^{\prime}H(r_{\rm c}-|{\bf r}-{\bf r}^{\prime}|)\rho(r^{\prime})=((1+J)/\pi)\int d{\bf r}^{\prime}\rho(r^{\prime})=(1+J)/\pi. This value does not change as long as the blue circle covers the dashed one, and this is the case when rRsr\leq R_{\rm s}^{\prime}. Note (1+J)/π(1+J)/\pi is the very (πRs2)1(\pi R_{\rm s}^{2})^{-1} of Eq. (7).

When r>Rsr>R_{\rm s}^{\prime}, the blue circle cannot include the dashed one, and the covered region decreases as rr increases. So that, in Eq. (5), the integration range becomes smaller for rr, and this leads to decreasing ρ(r)\rho(r) in the left hand side. Then, one may write

ρ(𝐫)={ρ0forrRsg(r)forRs<r<Rs+Δ,\rho({\bf r})=\begin{cases}\rho_{0}&{\rm for}~{}r\leq R_{\rm s}^{\prime}\\ g(r)&{\rm for}~{}R_{\rm s}^{\prime}<r<R_{\rm s}+\Delta~{},\end{cases} (22)

where ρ0(πRs2)1\rho_{0}\equiv(\pi R_{\rm s}^{2})^{-1} and g(r)g(r) is a proper function that decreases for rr from g(Rs)=ρ0g(R_{\rm s}^{\prime})=\rho_{0}. Figure 5(e) shows the schematic of Eq. (22). The density begins to decrease from ρ0\rho_{0} following O(ϵ3/2)O(\epsilon^{3/2}) for small ϵ=rRs>0\epsilon=r-R_{\rm s}^{\prime}>0 as the area ϵ3/2\sim\epsilon^{3/2} is excluded from the integration in Eq. (5). A lower bound of g(Rs+Δ)g(R_{\rm s}+\Delta) is simply arguable in the Rs=0+R_{\rm s}^{\prime}=0^{+} case, which is accompanied with rc=Rs+Δr_{\rm c}=R_{\rm s}+\Delta. In this case, when the blue circle is moved to locate its center at r=Rs+Δr=R_{\rm s}+\Delta, Eq. (5) gives g(Rs+Δ)>ρ0/4g(R_{\rm s}+\Delta)>\rho_{0}/4 as the integration range covers, at least, a quarter sector of the disc in the dashed circle. Note the coverage is minimized when Rs=0+R_{\rm s}^{\prime}=0^{+}, so that ρ0/4\rho_{0}/4 can be a lower bound of g(Rs+Δ)g(R_{\rm s}+\Delta). As the truncated Uatt(𝐫,𝐫)U_{\rm att}({\bf r},{\bf r}^{\prime}) by rcr_{\rm c} still shows Uatt(𝐫,𝐫)=Uatt(|𝐫𝐫|)U_{\rm att}({\bf r},{\bf r}^{\prime})=U_{\rm att}(|{\bf r}-{\bf r}^{\prime}|) and the density in Eqs. (21) and (22) also does ρ(𝐫)=ρ(r)\rho({\bf r})=\rho(r), |V(0)|<|V(0)|<\infty follows. Then, a consequent constant V(𝐫)V({\bf r}) gives 𝐯(𝐫)=𝐫V(𝐫)=0{\bf v}({\bf r})=-\nabla_{\bf r}V({\bf r})=0. Hence, the density in Eq. (22) can be a steady-state configuration. We call this anomalous static sync (aSS).

The aSS explained so far is conditioned in rc<2Rsr_{\rm c}<2R_{\rm s}. Meanwhile, the numerical data manifest there should be a lower bound on rcr_{\rm c}. For a survey on lower bound, we revisit Fig. 5(d). It states

Rs+Rs+Δ=rcR_{\rm s}+R_{\rm s}^{\prime}+\Delta=r_{\rm c} (23)

with Rs=Rs(rc)R_{\rm s}^{\prime}=R_{\rm s}^{\prime}(r_{\rm c}) and Δ=Δ(rc)\Delta=\Delta(r_{\rm c}). As RsR_{\rm s} is independent of rcr_{\rm c}, the lower bound of rcr_{\rm c} is reduced to that of Rs(rc)+Δ(rc)R_{\rm s}^{\prime}(r_{\rm c})+\Delta(r_{\rm c}). Also in the independence, Eq. (23) shows Rs(rc)+Δ(rc)R_{\rm s}^{\prime}(r_{\rm c})+\Delta(r_{\rm c}) is decreasing for rcr_{\rm c}. Since RsR_{\rm s}^{\prime} approaches 0 as rcr_{\rm c} decreases, the lower bound ll of rcr_{\rm c} is l=Rs+Δ(l)l=R_{\rm s}+\Delta(l). Thus when rc=lr_{\rm c}=l, it reads ρ(r)=g(r)\rho(r)=g(r) in the absence of the central constant region. For a simple estimation of ll, we regard g(r)g(r) is linear and g(l)ρ0/4g(l)\approx\rho_{0}/4. From normalization 𝑑𝐫ρ(r)=1\int d{\bf r}\rho(r)=1, it follows l2Rsl\approx\sqrt{2}R_{\rm s}. Thus considering the above-mentioned upper bound, one finds an interval

2Rsrc<2Rs\sqrt{2}R_{\rm s}\lesssim r_{\rm c}<2R_{\rm s} (24)

for the formation of aSS, and this is, interestingly, consistent with our numerical data. In the other side in rc2Rs=1r_{\rm c}\lesssim\sqrt{2}R_{\rm s}=1 (note we set J=1J=1 in numerics), we numerically observe the pattern becomes amorphous. l2Rsl\approx\sqrt{2}R_{\rm s} is by itself the upper bound of Rs+ΔR_{\rm s}+\Delta, the radius of aSS. Depending on initial condition, there can appear multiple aSS. After transient period, each region separated farther than rcr_{\rm c} from the others has its own disc (not shown here).

Our argument so far is also applicable for the change of the asynchronized-swam disc for K<Kc<0K<K_{\rm c}<0 while RsR_{\rm s} is replaced with RaR_{\rm a}. We call the pattern anomalous static async (aSA). An instance is shown in Fig. 5(c). We remark the async-counterpart of Eq. (24), 2Rarc<2Ra\sqrt{2}R_{\rm a}\lesssim r_{\rm c}<2R_{\rm a} is valid for the smaller criterion than KcK_{\rm c}. In the numerical data obtained for N=400N=400, the lower bound shows deviation till K2K\gtrsim-2 (see the upper-left part of the aSA region in Fig. 8). There is more deviation for larger KK and smaller rcr_{\rm c} in the corner. This observation is consistent with the reported stable-region of SA in Ref. [3] for rc=r_{\rm c}=\infty, KKc1.2JK\lesssim K_{\rm c}\approx-1.2J, in that the criterion KcK_{\rm c} is a consequence of linear stability and a smaller rcr_{\rm c} means a stronger perturbation. Different from aSS case, aSA does not become amorphous but a non-stationary pattern when it disappears by the decrease of rcr_{\rm c}.

IV.4 Variations in SPW

The diameter of SPW that appears when K=0K=0 for rc=r_{\rm c}=\infty is D=2R2D_{\infty}=2R_{2}. Thus by Eq. (20), for rc>2R2r_{\rm c}>2R_{2}, a formation of the same SPW(s) is expected, and this is numerically observed. Next, for rc<2R2r_{\rm c}<2R_{2}, the results become different, also as expected. However, this time, the difference is not that apparent in shape; the inner and outer radii change a little though the cutoff value is decreased a lot to rc1.6r_{\rm c}\approx 1.6 from 2.52R22.5\approx 2R_{2}. Figure 6(a) is a pattern at rc=1.6r_{\rm c}=1.6, whose inner and outer radii are not discriminated so clearly from R1R_{1} and R2R_{2}, respectively, known for rc=r_{\rm c}=\infty in Eq. (III).

Refer to caption
Figure 6: (Color Online) Variations of SPW by finite rcr_{\rm c} in N=800N=800 system with K=0K=0 and J=1J=1: (a) shows the formed SPW for rc=1.6r_{\rm c}=1.6 slightly exceeds the region between the radius R1R_{1} and R2R_{2} of Eq. (III) known for rc=r_{\rm c}=\infty. In (b), radial densities for rc=2.5r_{\rm c}=2.5 (red) and rc=1.6r_{\rm c}=1.6 (blue) are shown. The red pluses and blue crosses represent the numerical data, and the bold curves show the overall profile in each cases.

Instead, we have found that a substantial change in density takes place while rcr_{\rm c} decreases a lot. In Fig. 6(b), the red pluses come from the numerical data obtained at rc=2.5r_{\rm c}=2.5 that is slightly smaller than 2R2=2.53..2R_{2}=2.53..\,. Each of them is the count of swarms in a narrow circular region between radii rδr-\delta and r+δr+\delta, where rr is discrete and small δ>0\delta>0 is a few times of the resolution of rr. Their overall profile is guided by the bold red curve from Eqs. (13), (18), and (III). This guidance is plausible as rc=2.52R2r_{\rm c}=2.5\approx 2R_{2}. The blue crosses in Fig. 6(b) come from the numerical data at rc=1.6r_{\rm c}=1.6, and the blue bold curve is their overall shape as a guide to eyes. The substantial change in density is supposed to compensate for the small change in shape despite the considerable decrease of rcr_{\rm c}. We also observed the small change of shape mainly occurs below rc1.8r_{\rm c}\approx 1.8. The inner and outer radii remain apparently same for 1.8rc<2R21.8\lesssim r_{\rm c}<2R_{2} while the density change takes place.

A heuristic argument for this observation is following. Let rcr_{\rm c} be smaller that 2R22R_{2}, and consider a circle of radius rcr_{\rm c} whose center is in somewhere in SPW. If the center is near the outer boundary of SPW, the circle cannot cover the SPW. When this incomplete coverage is considered in Eq. (5), the reduced integral region would lead to density decrease at the center. Next, consider the center is near the inner boundary. In this case, the rcr_{\rm c}-radius circle covers the SPW when rcR2>R1r_{\rm c}-R_{2}>R_{1} is provided. For the density of such center, the integral region of Eq. (5) is conserved, and there is no explicit reason to decrease the density. Instead, an opposite reason was already due because the expected density decrease near the outer region requires mass conservation in the system. We consider the cross between the density profiles shown in Fig. 6(b) is the consequence.

If rcR2>R1r_{\rm c}-R_{2}>R_{1} does not hold, the integral region of Eq. (5) is always reduced whatever points of SPW is used for the center of rcr_{\rm c}-radius circle. This may indicate a termination of the shape-preserving density change. One then considers an interval

R1+R2rc<2R2,R_{1}+R_{2}\lesssim r_{\rm c}<2R_{2}\,, (25)

where such SPWs of negligible/considerable change in radius/density for rcr_{\rm c} are respectively expected. The lower bound suggested this way is rather comparable with the numerical lower bound rc1.8r_{\rm c}\approx 1.8 in that R1+R2=1.74..1.8R_{1}+R_{2}=1.74..\approx 1.8 (see Eq. (III) with J=1J=1 for the R1+R2R_{1}+R_{2} value). Thus when SPW is specified by the shape only, the condition for its formation is relaxed from rc>2R2r_{\rm c}>2R_{2} to rcR1+R2r_{\rm c}\gtrsim R_{1}+R_{2}.

We remark that some cases do not give SPW when rcr_{\rm c} begins to be smaller than 1.81.8, depending on initial conditions. No appearance of SPW below rc1.8r_{\rm c}\approx 1.8 becomes more frequent for the smaller rcr_{\rm c}. Furthermore, SPW does not appear when rc1.5r_{\rm c}\lesssim 1.5, at least, numerically. In brief, the numerical data suggests that the basin of attractor [34] for SPW begins to decrease from rc1.8r_{\rm c}\approx 1.8, and then disappears below rc1.5r_{\rm c}\approx 1.5.

IV.5 Bar-like patterns at K=0K=0

It is worthy of noting that, when the pattern’s shape is not circular below rc1.8r_{\rm c}\approx 1.8, it looks linear. According to the numerical data, linear shapes begin to appear for rc1.8r_{\rm c}\approx 1.8, and disappear when rc1r_{\rm c}\lesssim 1. Figure 7 shows a few linear bar-like patterns (Bar).

Refer to caption
Figure 7: (Color Online) Various bar-like patterns (Bar) for 1.2rc1.81.2\lesssim r_{\rm c}\lesssim 1.8 in N=400N=400 system with K=0K=0 and J=1J=1: (a)-(d) are obtained for rc=1.8,1.6,1.4r_{\rm c}=1.8,1.6,1.4, and 1.21.2, respectively. The black rectangle in the pattern of (a) is of length π\pi and width 11.

It is inappropriate we consider to view such patterns as the deformed APW by finite rcr_{\rm c}. As a first step to the understanding of such bar-like patterns, we below argue that each of them could be a deformed shape, by its own finite rcr_{\rm c}, of the bar given as the solution of Eq. (5) in the rcr_{\rm c}\to\infty limit. An ironical situation here is no bar-like pattern has been observed yet in our numerical study neither reported in literature as far as we know. We thus conjecture that a solution bar exists for Eq. (5), of no stability, but it becomes stable for finite 1rc1.81\lesssim r_{\rm c}\lesssim 1.8 accompanied with proper deformation. If our scenario is valid, the pattern of Fig. 7(a) is most close to the solution bar among the figures therein because its rc=1.8r_{\rm c}=1.8 is larger than the others’.

We choose xx-axis as the direction of bar with no loss of generality. In the numerical data, phase smoothly increases along the xx-axis. The positive direction of the xx-axis is selected in line with the phase increase. We thus introduce phase field θ(𝐫)=θ(x)\theta({\bf r})=\theta(x) that is differentiable for xx, and then write

Uatt(𝐫,𝐫)\displaystyle U_{\rm att}({\bf r},{\bf r}^{\prime}) =\displaystyle= 12((xx)2+(yy)2)\displaystyle-\frac{1}{2}\left((x-x^{\prime})^{2}+(y-y^{\prime})^{2}\right) (26)
×(1+Jcos(θ(x)θ(x))).\displaystyle~{}~{}~{}~{}\times\left(1+J\cos(\theta(x)-\theta(x^{\prime}))\right).

in rectangular coordinate. No dependence on rcr_{\rm c} shows Eq. (26) is that for the infinite cutoff.

Consider a bar of length 2l2l and of width 2w2w, whose center is the origin. By the symmetry of ρ(x,y)=ρ(|x|,|y|)\rho(x,y)=\rho(|x|,|y|), we choose θ(0)=0\theta(0)=0 for simplicity. We then give a relation between ρ(x,y)\rho(x,y) and θ(x)\theta(x) as

𝑑yρ(𝐫)=ρ(x)=12πdθdx\int dy\,\rho({\bf r})=\rho(x)=\frac{1}{2\pi}\frac{d\theta}{dx} (27)

in the consideration of i) θi\theta_{i}s are initialized with uniform random variables in our numerics and ii) any of them does not change in time in Eq. (2) with K=0K=0. By Eq. (27), θ(x)\theta(x) increases from θ(0)=0\theta(0)=0 to θ(l)=π\theta(l)=\pi, and then remains same thereafter, i.e., θ(x)=π\theta(x)=\pi for x>lx>l. By differentiabilty, dθ(l)/dx=0d\theta(l)/dx=0 is given. By the symmetry mentioned above, it reads that θ(x)=θ(x)\theta(-x)=-\theta(x).

Plugging Eqs. (26) and (27) into Eq. (5), after a little algebra, one can obtain

ρ(x,y)=1πJ2π2d2dx2(c(l)xsinθ+s(l)cosθ)\rho(x,y)=\frac{1}{\pi}-\frac{J}{2\pi^{2}}\frac{d^{2}}{dx^{2}}\Big{(}c(l)x\sin\theta+s(l)\cos\theta\Big{)} (28)

for c(l)=l+0l𝑑xcosθc(l)=l+\int_{0}^{l}dx\cos\theta and s(l)=0l𝑑xxsinθs(l)=\int_{0}^{l}dxx\sin\theta. Obviously, ρ(x,y)\rho(x,y) of Eq. (28) is considered for |x|<l|x|<l and |y|<w|y|<w while ρ(x,y)=0\rho(x,y)=0 elsewhere.

One integrates Eq. (28) to know the area SS of the solution bar is

S=4wl=π.S=4wl=\pi. (29)

Interestingly, the pattern in Fig. 7(a) covers a bar of area π\pi by length π\pi and width 11, with a rather tolerable margin (see the guiding black rectangle). This numerical observation suggests w1/2w\approx 1/2 and lπ/2l\approx\pi/2. We also observed the pattern becomes elongated and broadening as rcr_{\rm c} decreases. Thus the patterns in Fig. 7(b)-(d) for the smaller rcr_{\rm c} also cover the rectangle with the more margins (one can imagine the rectangle in each ones without difficulty). This is consistent with our scenario for the birth of bar-like patterns with finite rcr_{\rm c}, proposed above. We also observe in our numerical data that the bar-like pattern is so deformed for rc1r_{\rm c}\lesssim 1 that it becomes amorphous.

The rectangle we have specified is a consequence of numerically motivated speculation encapsulated in Eq. (28). This equation is again converted with Eqs. (27) and (29) to

dθdx=2πJ(xlθ/π)c(l)sinθc(l)xcosθs(l)sinθ.\frac{d\theta}{dx}=\frac{\frac{2\pi}{J}\left(x-l\theta/\pi\right)-c(l)\sin\theta}{c(l)x\cos\theta-s(l)\sin\theta}\,. (30)

Its solution will lead to the self-consistent equations for s(l)s(l) and c(l)c(l), which can fix the value of ll and next that of ww in use of Eq. (29). This way, finding the size of the bar is dual to knowing its density profile. The shooting method looks one of the practical approaches for finding ll. We leave related interesting task for future work as remarking lπ/2l\approx\pi/2 and w1/2w\approx 1/2 is expected with the numerical data up to now.

We add that an 1-dimension result could be relevant to the size of the bar. In 1-dimension, Urep(r,r)=|rr|U_{\rm rep}(r,r^{\prime})=-|r-r^{\prime}| giving r2Urep(r,r)=2δ(rr)\nabla_{r}^{2}U_{\rm rep}(r,r^{\prime})=2\delta(r-r^{\prime}) is responsible for the repulsion part. Thus when Uatt(r,r)=(1/2)(rr)2(1+J)U_{\rm att}(r,r^{\prime})=(1/2)(r-r^{\prime})^{2}(1+J) is considered, uniform distribution of width W(J)=2/(1+J)W(J)=2/(1+J) follows. We here consider the swarmalators on yy-direction segment in the bar are effectively in 1-dimension in that their phases are same so that Uatt(𝐫,𝐫)=(1/2)(yy)2(1+J)U_{\rm att}({\bf r},{\bf r^{\prime}})=(1/2)(y-y^{\prime})^{2}(1+J), the distribution is uniform in the segment as written in Eq. (28), and its width in numerics with J=1J=1 is 2w1=W(1)2w\approx 1=W(1). We leave expected explicit connection between the 1-dimension result and the bar for future work.

The steady-state condition Eq. (3) is a sufficient condition for Eq. (5). That is, the solution of Eq. (5) is not necessarily a steady state. We note ρ(x)\rho(x) of Eq. (28) is not a steady state. For this, one can check the yy-component of vatt(𝐫)v_{\rm att}({\bf r}) given by 𝑑𝐫(yUatt(𝐫,𝐫))ρ(𝐫)=y\int d{\bf r}^{\prime}(-\partial_{y}U_{\rm att}({\bf r},{\bf r}^{\prime}))\rho({\bf r}^{\prime})=-y cannot balance with its repulsion-counterpart for such ρ(x)\rho(x) that vanishes at x=lx=l (note ρ(l)dθ(l)/dx=0\rho(l)\propto d\theta(l)/dx=0). However, with rc=1.8r_{\rm c}=1.8, we observe a steady-state pattern that is rather close to the rectangle expected with Eq. (28), as depicted in Fig. 7(a). We interpret that the bar we speculated with rc=r_{\rm c}=\infty is properly deformed for 1rc1.81\lesssim r_{\rm c}\lesssim 1.8, and then it becomes stable while still keeping linear shape more or less. The patterns in Fig. 7 are the instances.

V Summary

In this paper, we considered the population of coupled oscillators that sync and swarm under finite-ranged interaction. We explored how the interaction cutoff affects the steady states of the system, with particular attention to the patterns of the steady states. We found that new patterns are induced by the finite-ranged interaction. When the positive/negative phase coupling is present (in the negative case, the coupling below a critical value is considered), multiple clusters forming uniform sync/async discs are found in the static sync/async states. Anomalous discs with nonuniform radial density were also found. In the absence of the phase coupling, APW with abnormal radial density and bar-like patterns of the phase wave state are discovered. We analyzed the new patterns theoretically and numerically to understand their birth and character. The results are summarized in Fig. 8.

Refer to caption
Figure 8: (Color Online) Diagram for steady-state patterns for J=1J=1 in (K,rc)(K,r_{\rm c}) plane: Boundaries are drawn with solid lines while approximated ones with grey blocks. Diagram for K=0K=0 is depicted in the K=0K=0 band. The boundary by KcK_{c} is the consequence of the stability analysis in Ref. [3]. The numerical values for the lower bounds of Bar/SPW and that below KcK_{c} are specific to J=1J=1 only. The data points around the left-upper part of aSA show the numerical boundary of aSA near there (aSA patterns appear at blue crosses while not at red pluses for N=400N=400). The other data points below indicate the argued region of aSA is numerically realized for K2K\lesssim-2.

The patterns found for K0K\geq 0 are static in the fact the dynamics becomes a gradient flow in the long time limit. But, it is not trivial whether all the patterns for K<0K<0 are stationary because the phase dynamics is frustrated for negative KK. In this situation, we gave an argument for aSA based on the stability of SA in K1.2JK\lesssim-1.2J, reported in Ref. [3]. The lower bound of rcr_{\rm c} for aSA, assessed by 2Ra\sqrt{2}R_{\rm a} in our argument, does not reach 2Ra\sqrt{2}R_{\rm a} when K2K\gtrsim-2, as shown in Fig. 8. The numerical data obtained at the red-cross points near there but still in rc2Rar_{\rm c}\gtrsim\sqrt{2}R_{\rm a} give completely different patterns that hardly look like instances of aSA. Those are rather comparable with bar-like ones (not shown here). This implies that that part does not belong to aSA but to non-stationary region, on which understanding is out of the scope of this work. A systematic investigation on the left and upper boundary of aSA could be a starting point in studying the non-stationary states by finite rcr_{\rm c}. We believe that the steady-state features reported in this work will provide their own starting points in extending the understanding to non-stationary region. Related works will appear elsewhere.

Acknowledgements.
We thank to Agata Barcis and Prof. Christian Bettstetter for useful discussions in the early stage of the study. This study was supported by NRF-2018R1A2B6001790 and 2021R1A2B5B01001951 (H.H), and 2018R1D1A1B07049254 (H.K.L).

DATA AVAILABILITY

The data that support the findings of this study are available within the article.

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