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Research Article

Analytical Derivation of Correlation Function for Vorticity-Depleted Regions Formed Around Strong Vortex

[version 1; peer review: awaiting peer review]
PUBLISHED 02 Mar 2026
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This article is included in the Japan Institutional Gateway gateway.

Abstract

Background

Two-dimensional turbulence exhibits distinct behavior from three-dimensional turbulence, characterized by an inverse energy cascade that transports energy from small to large scales, leading to the formation of large-scale vortices and organized structures. Onsager proposed the concept of negative absolute temperature states to explain this large-scale structure formation. Pure electron plasma experiments, where electron motion perpendicular to a strong axial magnetic field obeys the two-dimensional incompressible Euler equation, provide an ideal platform for studying such phenomena. In these experiments, the electron number density corresponds to vorticity, and the electrostatic potential to the stream function. Experiments at Kyoto University revealed the formation of depleted vorticity regions around strong vortices, which remained theoretically unexplained.

Methods

We employ linear response theory combined with mean-field approximation for point vortex systems with negative absolute temperature to investigate this depletion mechanism. Point vortices represent the vorticity field as a collection of delta-function singularities. We consider a delta-function vortex impulsively injected into an equilibrium state of uniform background vorticity and analytically derive the two-body correlation function that characterizes the system’s response to this perturbation. The mean-field approximation treats the continuous particle distribution emerging in the infinite particle limit.

Results

Our analysis demonstrates that the two-body correlation function exhibits negative values in the vicinity of the injected vortex. This negative correlation corresponds to a depleted vorticity region surrounding the strong vortex, consistent with experimental observations.

Conclusions

The analytical framework provides a qualitative explanation for the long-standing question of vorticity depletion formation around strong vortices in two-dimensional flows. However, our linear response treatment does not capture longer-time dynamics, and quantitative agreement with experiments requires further investigation through large-scale numerical simulations.

Keywords

Two-dimensional turbulence, Negative absolute temperature, Point vortex system, Linear response theory, Mean-fileld theory

I. Introduction

Main topic of this paper is a vortex dynamics in a two-dimensional (2D) system.

We analytically investigate the formation mechanism of a depleted vorticity region around a strong vortex injected into a uniform background vorticity field. A delta-function-type strong vortex is impulsively injected as a perturbation into an equilibrium state of uniformly distributed vorticity. In response to the injected impulse vortex, a region of depleted vorticity is formed in the vicinity of the impulse vortex. This phenomenon was discovered in two-dimensional vortex experiments using pure electron plasmas. An overview of these experiments is presented later. In this paper, we provide an analytical explanation for the formation of the depleted vorticity region using linear response theory and mean-field approximation for two-dimensional point vortex systems.

In three-dimensional turbulence, the Richardson cascade is a well-known phenomenon in which system energy is transported from large scales to small scales and is ultimately dissipated through viscous effects.1,2 In contrast, two-dimensional turbulence is characterized by the inverse cascade, which differs from three-dimensional turbulence.3,4 In the inverse cascade, energy is transported from small scales to large scales, leading to the formation of large-scale vortices. Furthermore, when numerous small-scale vortices aggregate, they form highly organized structures resembling a crystalline lattice. This phenomenon is sometimes referred to as self-organization.

To observe structure formation in two-dimensional turbulence, it is necessary to track the time evolution over long periods, which requires inviscid or approximately high Reynolds number flow experiments. A pure electron plasma system is well-suited for this purpose.5 Let us consider electrons confined in a vacuum chamber with a strong axial magnetic field. The 2D motion of the electrons perpendicular to the axial magnetic field is described by the 2D incompressible, inviscid Euler equation.68 The electron number density and the self-induced electrostatic potential are proportional to the vorticity and the stream function, respectively. Two groups at Kyoto University and at University of California, San Diego have independently reported pure electron plasma experimental results on two-dimensional turbulence and structure formation.914

Onsager proposed the concept of negative absolute temperature β as a key to understanding the inverse cascade phenomenon.1517 The state with β<0 corresponds to a phenomenon in which the statistically defined (inverse) temperature dS/dE becomes negative, where S is the entropy and E is the (internal) energy. The entropy and the number of accessible states W(E) of the system are related by S=kBlogW(E) where kB is the Boltzmann constant. Therefore, although unusual for conventional systems, negative absolute temperature can occur in systems where the number of accessible states decreases as the energy increases. Point vortex systems are known as representative examples of systems that can exhibit negative absolute temperature states.

The point vortex system serves as a tool for representing two-dimensional flows. In this system, the vorticity field is represented by a collection of point vortices discretized as delta functions (described later). As N same-sign point vortices coalesce into a single location, the degrees of freedom regarding their configuration decrease while the energy increases. That is, since the number of accessible states decreases with increasing energy, this system can exhibit states with β<0 . It was numerically demonstrated by Joyce et al. that point vortices confined in a rectangular domain with periodic boundary conditions form a clustered state.18,19 Using large-scale simulations with special-purpose supercomputer MDGRAPE-2, the negative temperature properties observed in point vortex systems confined within a circular boundary was examined by Yatsuyanagi et al.20

The point vortex system can serve as a powerful tool not only for numerical simulations but also for theoretical analysis.21,22 In experiments conducted by the Kyoto University group, the formation of a depleted region around a strong vortex was observed, but the mechanism behind this phenomenon remained unclear for a long time.23 In the present study, to describe the phenomenon, we derive the two-body correlation function analytically, employing the linear response theory and the mean-field approximation for the point vortex system. The linear response is the response of a system in equilibrium to a perturbation imposed by an external field, where the perturbation is weak enough not to destroy the equilibrium state. In a discrete particle system, the mean field is defined as the continuous particle distribution function that emerges in the infinite particle limit. This approach is referred to as the mean-field approximation. Injecting a delta-function-type strong vortex impulsively as a perturbation into an equilibrium state of uniformly distributed vorticity, we evaluate the response as the two-body correlation function. The obtained function indicates that a region exhibiting a negative response to the impulse input emerges.

Organization of this paper is as follows: In Sec. II, we first introduce the two-dimensional fluid experiments using pure electron plasma and the experimental result that motivated this study (Sec. II A). Subsequently, we define the two-dimensional point vortex system used as an analytical tool (Sec. II B), and present the results calculated via the route of Path (1) (Sec. II C) and the route of Path (2) (Sec. II D) in Figure 1. Then, by imposing the condition that the results obtained from the above two routes should be equal, we derive the equation that the two-body correlation function must satisfy (Sec. II E). In Section III, we obtain the homogeneous solution (Sec. III A 1) and the special solution (Sec. III A 2) of the equation derived in Sec. II E. Finally, in Section IV, we examine the conditions that the two-body correlation function must satisfy in a system with circular boundaries, and present the explicit solution of the two-body correlation function.

e506d776-2267-4bb1-9abc-4e051a801bd3_figure1.gif

Figure 1. The linear response followed by the infinite particle limit, and the linear response to the mean field after taking the infinite particle limit.

II. Methods

A. Two-dimensional pure electron plasma experiment

In this section, we present the experimental results obtained with pure electron plasmas. Electrons are confined in a cylindrical vacuum chamber radially by a strong magnetic field along the axis of the chamber and axially by the negatively biased electrostatic potentials at both ends. When the electrostatic potential at one end of the chamber is turned off, electrons are released along the axis and strike a phosphor screen positioned perpendicular to the magnetic field. The resulting luminosity distribution is recorded by a Charge Coupled Device (CCD) camera. As this measurement is destructive, the experiment requires high reproducibility. Details of the experimental configuration are found in Refs. 9, 24, 25. The electron motion perpendicular to the magnetic field is described by the 2D Euler equation,6,7 in which the electron density is proportional to the vorticity.

The time evolution of the electron distribution is shown in Figure 2. The brightness in this figure is proportional to the electron density, i.e., the vorticity. In this experiment, we first established an uniform equilibrium electron distribution as the background vortex, and then injected an electron population with a density higher than that of the background. A region where electrons are concentrated at a density higher than the background distribution is referred to as a clump. In this case, the vorticity inside the clump is about 180 times higher than that of the background.

e506d776-2267-4bb1-9abc-4e051a801bd3_figure2.gif

Figure 2. Experimental results are shown.

Shown are snapshots of the electron density at (a) 15 μs, (b) 80 μs, (c) 5 ms, (d) 10 ms, and (e) 200 ms.

The clump migrates toward the center of the background vortex through the interaction of its self-induced swirling flow with the background vortex. As the clump moves, it entrains low-vorticity regions from outside the background vortex, creating a ring hole of reduced vorticity around it. We will explain the mechanism of ring hole formation using the two-point correlation function of vorticity.

The density depression around the clump is depicted in Figure 3. Figure 3 plots the density profiles along lines A-A’, B-B’, and C-C’ shown in Figures 2 (c), (d), and (e), respectively. Points A, A’, B, B’, C, and C’ are located in the background vortex, and regions with density lower than the background are highlighted in green. The green regions indicate areas exhibiting negative correlation.

e506d776-2267-4bb1-9abc-4e051a801bd3_figure3.gif

Figure 3. Radial profile of electron density centered on the clump is shown.

B. Point vortex system

In this section, we define a two-dimensional (2D) system considered and introduce prerequisite for calculating the explicit formula of a two-body correlation function for the system.

1. 2D point vortex system

Let us consider a collection of N singular point vortices, which defines a 2D vorticity field ω̂(r,t) :

(1)
ω̂(r,t)i=1NΩδ(rri(t)).

The position vector of the i -th point vortex is given by ri . Each vortex has a constant circulation Ω . The notation δ(r) is the 2D Dirac delta function. A quantity depending on the positions ri of the singular point vortices is indicated by ̂ . We call a variable with ̂ as the microscopic one. The total circulation NΩ is assumed to be finite and constant, namely

(2)
Ω1N.

A stream function is defined by

(3)
ψ̂(r)iΩG(r,ri)
where G(r,r) is the 2D Green function for 2D Laplacian
(4)
G(r,r)12πlog|rr|.

The stream function (3) and the vorticity (1) are related by the Poisson equation

(5)
Δψ̂(r)=ω̂(r)

2. Hamiltonian

The following integral corresponding to energy of the system diverges at r=r

(6)
12R2R2G(r,r)ω̂(r)ω̂(r)drdr=12R2ψ̂(r)ω̂(r)drĤ0+Einf,
where Einf is a constant including a diverging part. Notation Ĥ0 is the Hamiltonian of the point vortex system in the usual sense.
(7)
Ĥ0Ω22ijG(ri,rj)

A quantity without an external perturbation (see below) is indicated by the suffix 0 .

3. External perturbation

A macroscopic stream function ψe(r) without ̂ is introduced as an external arbitrary perturbation, which defines a microsopic stream function ψ̂e

(8)
Ωψ̂eR2ψe(r)ω̂(r)dr=Ωiψe(ri)
(9)
ĤeĤ0+Ωψ̂e

The quantity Ĥe denotes Hamiltonian with an external perturbation ψ̂e .

For convenience, we introduce a suffix where the asterisk matchs either 0 or e . In an equation which contais two or more asterisks, all the asteriscs are unifiedly replaced by either 0 or e .

4. Partition function

A partition function is defined by

(10)
ZR2Nexp(βĤ)dr1drN.

According to the assumption (2), the inverse temperature β is chosen to be

(11)
βO(N).

Under the above condition and the definition (7), the dependence of Hamiltonian Ĥ on N is estimated as

(12)
βĤβΩ2(N1)GN1N2NO(1)
with respect to each ri . This ensures that the orders of the partition function Z and the free energy (see Eq. (21)) are estimated as
(13)
ZO(CN),F=1βlnZO(1).

This shows the free energy is well-defined regardless of the magnitude of N .

5. Canonical average

The canonical average converts a microscopic quantity into a macroscopic one. There are two kinds of canonical average, 0 and e . The notation 0 represents the average with H0 , and the notation e represents the average with He , namely,

(14)
ω(r)ω̂(r)=1ZR2Nω̂(r)exp(βĤ)dr1drN.

6. Fluctuation

The fluctuation δω̂(r) is defined by the subtraction of the canonical averaged quantity from the microscopic one which depends on the particle position ri :

(15)
δω̂(r)ω̂(r)ω(r)

7. One-body distribution function

The one-body distribution function P1,N(r) is defined by

(16)
P1,N(r)δ(rri).

Due to the symmetry of Ĥ under the permutation of the i -th and the j -th particles, it satisfies

(17)
P1,N(r)=1ZR2(N1)exp(βĤ(r,r2,,rN))dr2drN
for any i=1,,N . Thus, the following relation also holds:
(18)
ω(r)=ω̂(r)=NΩP1,N.

8. Two-body distribution function

The two-body distribution function P2,N(r,r) is defined by

(19)
P2,N(r,r)δ(rri)δ(rrj).
and satisfies
(20)
P2,N(r,r)=1ZR2(N2)exp(βĤ(r,r,r3,,rN))dr3drN.

Note that P2,N(r,r) is not defined on r=r as Ĥ0(r,r) is not defined on ri=rj(i,j=1,,N) .

C. Linear response theory

The goal of this section is to derive a linear response formula for the N -point vortex system to a fluctuation (path (1) in Figure 1).

1. Linear response formula

The free energy is defined by

(21)
F1βlnZ.

As a general procedure, we calculate a functional derivative two times to obtain a correlation of the fluctuation δω̂(r) .26 The functional derivative is carried out by introducing an arbitrary external perturbation ϕe(r)sδϕe ( sR ) and differentiating with respect to s twice.

(22)
ddsFe=1ZeR2NΩiδϕe(ri)exp(βĤe)dr1drN=R2(1ZeR2Nω̂(r)exp(βĤe)dr1drN)δϕe(r)dr

We represent the integrand as the functional delivative

(23)
δFeδϕe(r)=1ZeR2Nω̂(r)exp(βĤe)dr1drN=ω̂(r)e=ωe(r).

Similarly, the second-order delivative is obtained:

(24)
1βd2ds2Fe=1βdds(1ZeR2NΩiδϕe(ri)exp(βĤe)dr1drN)=1Ze2(R2NΩiδϕe(ri)exp(βĤe)dr1drN)2+1ZeR2N(Ωiδϕe(ri))2exp(βĤe)dr1drN=R2(1ZeR2Nω̂(r)exp(βĤe)dr1drN)δϕe(r)dr×R2(1ZeR2Nω̂(r)exp(βĤe)dr1drN)δϕe(r)dr+R2R2(1ZeR2Nω̂(r)ω̂(r)exp(βĤe)dr1drN)δϕe(r)δϕe(r)drdr

We represent this result as

(25)
1βδ2Feδϕe(r)δϕe(r)=1βδωe(r)δϕe(r)=ω̂(r)eω̂(r)e+ω̂(r)ω̂(r)e=δω̂e(r)δω̂e(r)e.

In the limit s0 , i.e., ϕe=0δϕe=0 , Eq. (25) is written as

(26)
1βδωe(r)δϕe(r)|ϕe(r)=0=δω̂0(r)δω̂0(r)0

As an important result in relation to Eq. (26), a response to an external perturbation defined by

(27)
δωe(r)ω̂(r)eω̂(r)0=ωe(r)ω0(r)
is linearly approximated by
(28)
δωe(r)βδω̂0(r)δω̂0(r)0ϕe(r)dr.

It should be noted that Eq. (28) has the same form as the general linear-response formulae.26

2. Two-body correlation function

The two-body correlation funcntion g0(r,r) in a thermal equilibrium state is defined by

(29)
P2,0(r,r)P1,0(r)P1,0(r)(1+g0(r,r)).

The aim of the present analysis is to determine g0(r,r) in the limit of vanishing external perturbation. Characteristics of the correlation function for long-range interacting particle system was discussed by Ornstein and Zernike.27,28 A basic idea introduced by them is to split an effect of the correlation function into a self-correlation and a mutual correlation, which is called Ornstein-Zernike formula. For the point vortex system, the formula is rewritten as

(30)
δω̂0(r)δω̂0(r)0=Ωω0(r)δ(rr)+ω0(r)ω0(r)g0(r,r).

The first term of Eq. (30) in the right hand side corresponds to the self-correlation and the second term the mutual correlation. Substituting Eq. (30) into (28), we obtain the formula for the linear response in the point vortex system.

(31)
δωe(r)=βΩω0(r)ϕe(r)βω0(r)g0(r,r)ω0(r)ϕe(r)dr.

This formula is the main conclusion, representing the linear response of the system derived from the two-body correlation function.

D. Mean-field theory

Mean-field theory is an approximation technique in which terms proportional to square of the fluctuation are neglected. The goal of this section is to derive a linear response formula for the mean-field approximated point vortex system.

1. Hamiltonian in the mean-field approximation

In the mean-field theory, physical quantities are represented by the sum of the mean-filed quantity and a fluctuation. There are two possible representations, with (suffix “e”) and without (suffix “0”) the external field:

(32)
ω̂(r)ω¯(r)+δω¯̂(r),
where the notation ¯ indicates the quantity measured with the mean-field approximation. Namely, ω¯(r) is the vorticity in the mean-filed approximation. Mean-field vorticity is related to the stream function by the following Poisson equation.
(33)
Δψ¯(r)=ω¯(r).

Note that the second term in the right hand side of Eq. (32) depends on the particle coordinate ri . Thus, the term has the hat ̂ .

The Hamiltonians H¯̂0 and H¯̂e in the mean-filed approximation are given by

(34)
Ĥ0+Einf=12R2R2G(r,r)ω̂(r)ω̂(r)drdr12G(r,r)ω¯0(r)ω¯0(r)drdr+G(r,r)δω¯̂0(r)ω¯0(r)drdr=12G(r,r)ω¯0(r)ω¯0(r)drdr+Ωiψ¯0(ri)H¯̂0(r1,,rN)
(35)
Ĥe+Einf=Ĥ0+Einf+R2ϕe(r)ω̂(r)dr12G(r,r)ω¯e(r)ω¯e(r)drdr+Ωi{ψ¯e(ri)+ϕe(ri)}H¯̂e(r1,,rN)

2. Partition function

The partition functions Z¯e and Z¯0 are defined by

(36)
Z¯R2Nexp(βH¯̂)dr1drN
(37)
Z¯e=exp(β2G(r,r)ω¯e(r)ω¯e(r)drdr)×[exp(βΩ(ψ¯e(r)+ϕe(r))dr]N
(38)
Z¯0=exp(β2G(r,r)ω¯0(r)ω¯0(r)drdr)×[exp(βΩ(ψ¯0(r))dr]N.

3. Free energy

The free energy F¯e and F¯0 are defined by

(39)
F¯1βlnZ¯
(40)
F¯e=12G(r,r)ω¯e(r)ω¯e(r)drdrNβlnexp(βΩ(ψ¯e(r1)+ϕe(r1)))dr1
(41)
F¯0=12G(r,r)ω¯0(r)ω¯0(r)drdrNβlnexp(βΩ(ψ¯0(r1)))dr1

4. Thermal equilibrium state

A thermal equilibrium state is defined by minimization of the free energy. The condition is given by

(42)
δF¯δω¯(r)=0.

Upon explicit calculation, we obtain:

(43)
δF¯eδω¯e(r)=G(r,r)ω¯e(r)drNβ(βΩ)exp[βΩ(ψ¯e(r)+ϕe(r))]δψ¯e(r)δω¯e(r)drexp[βΩ(ψ¯e(r)+ϕe(r))]dr=ψ¯e(r)+NΩexp[βΩ(ψ¯e(r)+ϕe(r))]G(r,r)drexp[βΩ(ψ¯e(r)+ϕe(r))]dr=0.

By operating Δ on Eq. (43), the following formula is obtained.

(44)
Δψ¯e(r)=ω¯e(r)=NΩexp(βΩ(ψ¯e(r)+ϕe(r)))exp(βΩ(ψ¯e(r)+ϕe(r)))dr.

Similarly, the formula without a perturbation is also obtained.

(45)
Δψ¯0(r)=ω¯0(r)=NΩexp(βΩψ¯0(r))exp(βΩψ¯0(r))dr

The solution to this Poisson equation is derived here, as it will be required in subsequent sections. Substituting

(46)
u0=βΩψ¯0(r)
into Eq. (45), we get
(47)
Δu0=λeu0eu0(r)dr(=βΩω¯0),
where
(48)
λβNΩ2.

The solution to Eq. (47) in R2 was discussed by Chen and Li.29 The solution to Eq. (47) exists only when λ=8π and the solution is given by

(49)
u0(r)=ln8ϵ2(1+|ϵr|2)2ln8πZ
and its parallel translation with the parameter
(50)
Z=eu0(r)dr=eβΩψ¯0(r)dr,ϵ>0.

Thus, the solution of Eq. (45) is given by the following formulae and those of the parallel translation:

(51)
ψ¯0(r)=1βΩu0(r)=1βΩln8ϵ2(1+|ϵr|2)2+1βΩln8πZ
(52)
ω¯0(r)=Δψ¯0(r)=(1βΩ)(Δu0)=1βΩ8ϵ2(1+|ϵr|2)2

5. Response in the mean-field theory

The responses in the mean-field theory is defined by

(53)
δω¯e(r)ω¯e(r)ω¯0(r),
(54)
δψ¯e(r)ψ¯e(r)ψ¯0(r)

Using Eqs. (53) and (54), Eq. (44) is linearlized.

(55)
δω¯e(r)=NΩexp(βΩ(ψ¯e(r)+ϕe(r)))exp(βΩ(ψ¯e(r)+ϕe(r)))drNΩexp(βΩψ¯0(r))exp(βΩψ¯0(r))drNΩexp(βΩψ¯0(r))(βΩ)(δψ¯e(r)+ϕe(r))exp(βΩψ¯0(r))drNΩexp(βΩψ¯0(r)){exp(βΩψ¯0(r))dr}2×exp(βΩψ¯0(r))(βΩ)(δψ¯e(r)+ϕe(r))dr=βΩω¯0(r)(δψ¯e(r)+ϕe(r)1NΩω¯0(r)(δψ¯e(r)+ϕe(r))dr)

Equation (55) is the final formula of the response to the external field in the mean-field theory.

E. Comparison between the two results

We have otaintained two formulae for the response, Eq. (31) and Eq. (55). We assume that δωe(r) , ω0(r) in Eq. (31) coincde with δω¯e(r) , ω¯0(r) in Eq. (55), respectively:

(56)
βΩω¯0(r)ϕe(r)βω¯0(r)g0(r,r)ω¯0(r)ϕe(r)dr=βΩω¯0(r)(δψ¯e(r)+ϕe(r)1NΩω¯0(r){δψ¯e(r)+ϕe(r)}dr),1Ωg0(r,r)ω¯0(r)ϕe(r)dr=δψ¯e(r)1NΩω¯0(r){δψ¯e(r)+ϕe(r)}dr

Applying the operator Δr+βΩω¯0(r) to Eq. (56), where Δr denotes the Laplacian with respect to r , we obtain

(57)
1Ω{Δr+βΩω¯0(r)}g0(r,r)ω¯0(r)ϕe(r)dr
(58)
=δω¯e(r)+βΩω¯0(r)(δψ¯e(r)1NΩω¯0(r){δψ¯e(r)+ϕe(r)}dr)

Substituting Eq. (55) into Eq. (58), the following equation is obtained.

(59)
{Δr+βΩω¯0(r)}g0(r,r)βΩ2ω¯0(r)ϕe(r)dr=ω¯0(r)ϕe(r)

As ϕe(r) is an arbitrary function, Eq. (59) is reduced to

(60)
(ΔrβΩω¯0(r))g0(r,r)βΩ2=δ(rr).

In the next section, we will solve Eq. (60) and obtain an explicit formula for g0(r,r) .

III. Results

A. Solution for the correlation function g0(r,r)

1. Homogeneous solution

Now, we are ready to solve Eq. (60). At first, we will obtain the homogeneous solution to Eq. (60), namely, the solution to

(61)
(ΔrβΩω¯0(r))g0(r,r)βΩ2=0
where the explicit formula for ω¯0(r) is given in Eq. (52). The partial derivative of Eq. (47) with respect to ϵ at fixed Z is given by
(62)
Δu0∂ϵ=∂ϵ(λeu0eu0)=λeu0eu0u0∂ϵ=βΩω¯0u0∂ϵ

Here, we have used the following relation with fixed Z .

(63)
0=Z∂ϵ=∂ϵeu0=eu0u0∂ϵ

Equation (62) is reduced to

(64)
(ΔβΩω¯0(r))u0∂ϵ=0
and the homogeneous solution Gh(r) to Eq. (61) is obtained
(65)
Gh(r)βΩ2=u0∂ϵ=2ϵ1|ϵr|21+|ϵr|2
where the explicit formula for u0 is given by Eq. (49).

2. Special solution

In the next we will obtain a special solution to Eq. (60) with r=0 .

Consider Eq. (47) with a perturbation (r) whose solution is denoted by uc(r) :

(66)
Δuc(r)=λeuc(r)euc(r)dr+(r)
where c is a parameter. Equation (66) is reduced to (47) in the limit of c0 . A solution of (66) has been discussed by J. Prajapat and G. Tarantello.30 In the case of sufficiently small |c| , the solution of Eq. (66) in R2 exists only when
(67)
λ=8πn
(68)
n1c4π
and is given by
(69)
uc(r)=c2πln|r|1+ln8ϵ2n(1+|ϵr|2n)2ln8πnZ.
where
(70)
Z=euc(r)dr,ϵ>0.

The limit c0 of the partial derivative of Eq. (66) with respect to c at fixed Z is given by

(71)
Δucc|c=0=c(λeuceuc(r)dr)|c=0+δ(r)=2eu0eu0(r)dr+8πeu0eu0(r)drucc|c=0+δ(r)

The above equation is reduced to the following form:

(72)
(ΔβΩω¯0)(ucc|c=014π)=δ

By employing the practical form of

(73)
ucc|c=014π=12π(1|ϵr|21+|ϵr|2ln1|ϵr|1),
we obtain the special solution Gs(r) to Eq. (60)
(74)
Gs(r)βΩ2=ucc|c=014π=12π(1|ϵr|21+|ϵr|2ln1|ϵr|1).

We conclude that the complete solution G(r) to Eq. (60) is given by the combination of the homogeneous solution (65) and the imhomogeneous solution (74), namely,

(75)
G(r)=Gs(r)+αGh(r)
where α is an arbitrary constant.

IV. Discussion

A. Normalization condition for correlation function

In general, the correlation function satisfies the following two conditions:

(76)
g(x0,0)=0(|x0|1)
(77)
R2w(x)g(x,0)dx=0
where w(x) is a one-body distribution function in an equilibrium state. The reason why the second condtion (77) holds is discussed in Appendix A. In this section, we examine if the obtained distribution function (52) and correlation function (75) satisfies the above condition.

To derive the correlation function, we have used an mean field approximation. Mean-field approximation generally fails in systems with strong correlations. That is, we consider that the first condition is already fulfilled.

Let us examine the second condition. One-body distribution function in an equilibirium state is given by Eq. (52)

(78)
ω¯0(x)=ϵ2π1(1+|ϵx|2)2
where the coefficient is determined to hold the normalization condition
(79)
R2ω¯0(x)dx=1.

Integrating Eq. (75) in R2 , we obtain

(80)
R2ω¯0(x)g(x,0)dx=βΩ2R2ϵ2π1(1+|ϵx|2)2×{12π(|ϵx|21|ϵx|2+1ln|ϵx|1)+α|ϵx|21|ϵx|2+1}dx

Perform a change of variables in the integral

(81)
ϵx=y,dx=1ϵ2dy
and continue the calculation.
(82)
=βΩ2R21π1(1+|y|2)2×{12π(|y|21|y|2+1ln|y|1)+α|y|21|y|2+1}dy

Axial symmetry is assumed.

(83)
=βΩ201π1(1+r2)2×{12π(r21r2+1lnr1)+αr21r2+1}2πrdr

Perform a change of variables in the integral

(84)
r2=s,2rdr=ds
and continue the calculation.
(85)
=βΩ201(1+s)2{12π(s1s+112lns1)+αs1s+1}ds=βΩ2{14π0s1(s+1)3lnsds12π0ds1+s+α0s1(s+1)3ds}=βΩ24π

We find that the α -dependence does not remain in the integral result. To overcome this difficulty, cutoff radius R is introduced. According to this change, we replace the integral domain R2 with BR(0) and search the value of α which satisfies

(86)
GR(x)Gs(x)+αGh(x)
(87)
BR(0)ω¯0(x)GR(x)dx=0

Returning to Eq. (85), we re-evaluate the above integral.

(88)
BR(0)ω¯0(x)GR(x)dx=βΩ2{14π0(ϵR)2s1(s+1)3lnsds12π0(ϵR)2ds(s+1)2+α0(ϵR)2s1(s+1)3ds}
(89)
=βΩ2{14π((ϵR)2((ϵR)2+1)2ln|εR|+(ϵR)2(ϵR)2+1)12π(ϵR)2(ϵR)2+1α(ϵR)2((ϵR)2+1)2}=0

Thus, we obtain α satisfying condition (87).

(90)
α=14πln(ϵR)214π((ϵR)2+1)

By introducing a conditional probability that assumes the presence of a particle at the origin as the source of perturbation, the two-body distribution function effectively reduces to a one-body distribution function. Applying the above condition to Eq. (29) yields

(91)
P2,0(0,r)=1P1,0(r)(1+g0(0,r))=P1,0(r)(1+G(r))

Among the terms in the above expression, P1,0(r)G(r) corresponds to the linear response part, where G(r) is defined in Eq. (75). Figure 4 shows a plot of this function. As anticipated, a region with negative correlation forms in the vicinity of the origin in response to the perturbation imposed at the origin. It should be noted that since the term G(r) is proportional to ΩO(1/N) , the magnitute of the response is small compared to the leading-order term of 1. Thus, although we successfully obtained the two-body correlation function G(r) analytically, its effect is small and only qualitative agreement is achieved. In other words, additional quantitative analysis may be required to refine the explanation for the formation of the depleted region observed in the experiments.

e506d776-2267-4bb1-9abc-4e051a801bd3_figure4.gif

Figure 4. The profiles of the function P1,0( x )G( x ) for parameters ϵ = 4.5 and 6.0 are shown.

The value of R is 1.0. As anticipated, a region with negative correlation forms in the vicinity of the origin in response to the perturbation imposed at the origin.

B. Future work

Further efforts are necessary to quantitatively explain the experimental results. The two-body correlation function that we analytically derived in this work remains within the linear response regime and does not address the longer-time dynamics. Since analytical treatment of the time evolution of the system is expected to be difficult, we are preparing large-scale numerical simulations using a supercomputer equipped with the latest PEZY-SC4s processor, a platform that one of the authors (Y.Y.) has been utilizing. Numerical simulations will enable us to capture the detailed particle transport behavior, allowing us to investigate in detail aspects such as the destination of particles during the formation of the depleted region.

Ethical considerations

Not applicable. This study is purely theoretical and does not involve human participants.

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Yatsuyanagi Y, Hatori T, Ohtsuka H et al. Analytical Derivation of Correlation Function for Vorticity-Depleted Regions Formed Around Strong Vortex [version 1; peer review: awaiting peer review]. F1000Research 2026, 15:335 (https://doi.org/10.12688/f1000research.176213.1)
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