This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

1]Graduate Center, City University of New York, 365 5th Avenue, New York, NY 10016, USA

2]Department of Physics, Keio University, Yokohama 223-8522, Japan

Convergence of Ginzburg–Landau Expansions:
Superconductivity in the Bardeen–Cooper–Schrieffer Theory and
Chiral Symmetry Breaking in the Nambu–Jona-Lasinio Model

William Gyory    Naoki Yamamoto [ [
Abstract

We study the convergence of the Ginzburg–Landau (GL) expansion in the context of the Bardeen–Cooper–Schrieffer (BCS) theory for superconductivity and the Nambu–Jona-Lasinio (NJL) model for chiral symmetry breaking at finite temperature TT and chemical potential μ\mu. We present derivations of the all-order formulas for the coefficients of the GL expansions in both systems under the mean-field approximation. We show that the convergence radii for the BCS gap Δ\Delta and dynamical quark mass MM are given by Δconv=πT\Delta_{\rm conv}=\pi T and Mconv=μ2+(πT)2M_{\rm conv}=\sqrt{\mu^{2}+(\pi T)^{2}}, respectively. We also discuss the implications of these results and the quantitative reliability of the GL expansion near the first-order chiral phase transition.

\subjectindex

A40, D30, I68

1 Introduction

Power series expansions are ubiquitous in physics. Some examples can be found in the perturbative expansions appearing throughout quantum mechanics and quantum field theory (QFT). Another example is the paradigm of effective field theories (EFT), based on a systematic expansion at certain scales. Hydrodynamics, for instance, is an EFT based on a gradient expansion. Ginzburg–Landau (GL) theory, originally introduced in 1950 as a phenomenological model of superconductivity, is also an EFT based on the expansion of the free energy of a system in powers of an order parameter near a phase transition.

It is well known that these power series do not always converge, and that even divergent series can generate useful results. Indeed, although the perturbative expansion in quantum electrodynamics (QED) should be a divergent asymptotic series with zero radius of convergence, as shown by Dyson Dyson:1952tj , certain quantities calculated using perturbation theory, such as the anomalous magnetic dipole moment of the electron, are among the most precise predictions in physics. Several arguments have been put forward for the divergence of perturbative expansions in other types of QFTs, such as for scalar λϕ3\lambda\phi^{3} theory Hurst:1952zk , and by ’t Hooft for quantum chromodynamics (QCD) tHooft:1977xjm . While convergent and divergent series can both be useful, there remain reasons—both practical and theoretical—for studying their convergence properties. On the practical side, it is important to know whether adding more terms to an expansion will produce better results, and if so, over what region of parameter space. On the theoretical side, at least in some situations, one can gain physical insight from an expansion’s convergence or lack thereof. For recent developments on asymptotic series in QFTs, see, e.g. the review in Ref. Aniceto:2018bis . On the other hand, convergence properties of the systematic expansions for EFTs have yet to be understood generally. In this context, it was recently shown, using holographic duality methods, that the derivative expansions for specific physical quantities (shear and sound frequencies) in hydrodynamics have a finite radius of convergence in an 𝒩=4\mathcal{N}=4 supersymmetric Yang–Mills plasma Grozdanov:2019kge ; see also Ref. Cartwright:2021qpp for its extension to rotating plasmas.

In this paper, we study the convergence of the GL expansion. As paradigmatic examples, we consider the Bardeen–Cooper–Schrieffer (BCS) theory for superconductivity and the Nambu–Jona-Lasinio (NJL) model for chiral symmetry breaking Nambu:1961tp at finite temperature TT and chemical potential μ\mu. Despite the physical differences between the BCS superconductivity, characterized by the BCS gap Δ\Delta, and the chiral symmetry breaking in the NJL model, characterized by the dynamical quark mass MM, their free energies in the mean-field approximation are closely related to a common mathematical expression, namely,

J(x,y)\displaystyle J_{\ell}(x,y) =0𝑑tt[x2+t2+ζ=±ln(1+ex2+t2+ζy)]\displaystyle=\int_{0}^{\infty}dt\,t^{\ell}\bigg{[}\sqrt{x^{2}+t^{2}}+\sum_{\zeta=\pm}\ln\left(1+e^{-\sqrt{x^{2}+t^{2}}+\zeta y}\right)\bigg{]}
=0𝑑ttζ=±ln[2cosh(x2+t2+ζy2)],\displaystyle=\int_{0}^{\infty}dt\,t^{\ell}\sum_{\zeta=\pm}\ln\bigg{[}2\cosh\bigg{(}\frac{\sqrt{x^{2}+t^{2}}+\zeta y}{2}\bigg{)}\bigg{]}\,, (1)

where either =0\ell=0 or =2\ell=2. This expression must be regarded only schematically, because the first term in Eq. (1) is divergent and requires regularization. We will explain how JJ_{\ell} appears in each context, and then we will show that the GL expansion essentially reduces to expanding Eq. (1) in powers of xx, subject to some form of regularization. We will then derive the nnth-order coefficients of the GL expansions for arbitrary nn in both systems.111Although the first few GL coefficients are well known in the BCS theory (see, e.g. Refs. Gorkov1959 ; ADG ), the generic higher-order GL coefficients do not seem to be widely known, except for an unpublished note Brauner . To the best of our knowledge, the generic GL coefficients in the NJL model in 3+13+1 dimensions and the radii of convergence of the GL expansions in both systems are not provided in the literature. We will show that the radius of convergence in each case is given by Δconv=πT\Delta_{\rm conv}=\pi T and Mconv=μ2+(πT)2M_{\rm conv}=\sqrt{\mu^{2}+(\pi T)^{2}}, respectively, and we will clarify the physical origin of the difference between these two formulas. The finite convergence radii show that results calculated using an nnth-order GL expansion eventually improve with increasing nn for sufficiently small values of the order parameter.

This paper is organized as follows. In Sects. 2 and 3, we derive the all-order formulas for the coefficients of the GL expansions and convergence radii in the BCS theory and NJL model, respectively. We discuss our results and give concluding remarks in Sect. 4. The technical details of the analysis are provided in appendices.

Throughout the paper, we use natural units =c=kB=1\hbar=c=k_{B}=1.

2 GL expansion in BCS theory

Let us first review the basics of BCS theory and then derive the formula that gives the GL coefficients to all orders. Although most of the results in this section are known in the literature (see, e.g. Ref. ADG ), we review these for completeness and to discuss the similarities and differences with the results of the NJL model later.

2.1 Microscopic theory and free energy

As we will not be interested in the electromagnetic responses in this paper, we can turn off the gauge fields. The BCS Lagrangian is then given by

BCS=ψ(it+22m+μ)ψ+G2(ψψ)2.\mathcal{L}_{\text{BCS}}=\psi^{\dagger}\left(i\partial_{t}+\frac{\bm{\nabla}^{2}}{2m}+\mu\right)\psi+\frac{G}{2}(\psi^{\dagger}\psi)^{2}\,. (2)

Here ψ=(ψ,ψ)\psi=(\psi_{\uparrow},\psi_{\downarrow})^{\top} is a two-component fermion spinor, GG is a four-fermion coupling constant used to model the attractive interaction between fermions, and μ\mu is the chemical potential, which is equal to the Fermi energy ϵF=kF2/(2m)\epsilon_{\rm F}=k_{\rm F}^{2}/(2m). Introducing the gap parameter Δ=GψCψ/2\Delta={G}\langle\psi^{\top}C\psi\rangle/2, which is assumed to be homogeneous for simplicity, with CC the charge conjugation matrix, one can show that the free energy (except for the terms that do not depend on Δ\Delta) in the mean-field approximation is

F=Δ2G2T|𝒌|kFd3k(2π)3ln[2cosh(β2Δ2+ξ𝒌2)],F=\frac{\Delta^{2}}{G}-2T\int_{|\bm{k}|\approx k_{\rm F}}\frac{d^{3}k}{(2\pi)^{3}}\ln\bigg{[}2\cosh\left(\frac{\beta}{2}\sqrt{\Delta^{2}+\xi_{\bm{k}}^{2}}\right)\bigg{]}\,, (3)

where β\beta is the inverse temperature β=1/T\beta=1/T and ξ𝒌=ϵ𝒌μ\xi_{\bm{k}}=\epsilon_{\bm{k}}-\mu with ϵF=|𝒌|2/(2m)\epsilon_{\rm F}=|{\bm{k}}|^{2}/(2m). Here and below, we take Δ\Delta as real without loss of generality.

The integral should be taken near the Fermi surface over the region kFkD<|𝒌|<kF+kDk_{\rm F}-k_{\rm D}<|\bm{k}|<k_{\rm F}+k_{\rm D}, where kDk_{\rm D} is the Debye wavelength, which functions here as an ultraviolet (UV) cutoff. Near the Fermi surface, we can approximate d3k4πkF2dkd^{3}k\approx 4\pi k_{\rm F}^{2}dk and ξ𝒌vF(kkF)\xi_{\bm{k}}\approx v_{\rm F}(k-k_{\rm F}) with vF=kF/mv_{\rm F}=k_{\rm F}/m being the Fermi velocity. Therefore, assuming kDkFk_{\rm D}\ll k_{\rm F}, we have

F=Δ2G4ρT0ωD𝑑ξln[2cosh(β2Δ2+ξ2)],F=\frac{\Delta^{2}}{G}-4\rho T\int_{0}^{\omega_{\rm D}}d\xi\,\ln\bigg{[}2\cosh\left(\frac{\beta}{2}\sqrt{\Delta^{2}+\xi^{2}}\right)\bigg{]}\,, (4)

where ρ=kF2/(2π2vF)\rho=k_{\rm F}^{2}/(2\pi^{2}v_{\rm F}) is the density of states per spin at the Fermi surface and ωD=vFkD\omega_{\rm D}=v_{\rm F}k_{\rm D} is the Debye frequency.

It is now clear that after an integral transformation t=βξt=\beta\xi, the integral in Eq. (4) is essentially J0(βΔ,0)J_{0}(\beta\Delta,0), except with the infinite upper limit replaced by a finite cutoff. Defining

Jcut(x,y;λ)\displaystyle J_{\ell}^{\text{cut}}(x,y;\lambda) =0λ𝑑ttζ=±ln[2cosh(x2+t2+ζy2)],\displaystyle=\int_{0}^{\lambda}dt\,t^{\ell}\sum_{\zeta=\pm}\ln\bigg{[}2\cosh\bigg{(}\frac{\sqrt{x^{2}+t^{2}}+\zeta y}{2}\bigg{)}\bigg{]}\,, (5)

we have

F=Δ2G2ρT2J0cut(βΔ,0;βωD).F=\frac{\Delta^{2}}{G}-2\rho T^{2}J_{0}^{\text{cut}}(\beta\Delta,0;\beta\omega_{\rm D})\,. (6)

Notice that μ\mu enters into the expression through the density of states ρ\rho in Eq. (4)—hence, μ\mu does not enter into the position of yy in J0(x,y)J_{0}(x,y), unlike the case of the dynamical quark mass in the NJL model that we study in the next section.

2.2 nth-order coefficient formulas

The GL expansion is a systematic expansion of the free energy FF in powers of the order parameter Δ\Delta, in this case given by

F=α2Δ2+α4Δ4+.F=\alpha_{2}\Delta^{2}+\alpha_{4}\Delta^{4}+\cdots\;. (7)

Historically, GL theory was proposed as a phenomenological model of superconductivity, and the coefficients α2\alpha_{2} and α4\alpha_{4}, often denoted α\alpha and β\beta (not to be confused with the inverse temperature) in the literature, were certain parameters. In the context of BCS theory, however, the coefficients—not only at the second and fourth orders Gorkov1959 , but at all orders—are determined by the microscopic theory defined in Eq. (2). From Eq. (4) we see that the GL coefficients depend on the expansion of J0cut(x,0;λ)J_{0}^{\text{cut}}(x,0;\lambda) in powers of xx. If we can find a general nnth-order formula for these coefficients, then all the GL coefficients will immediately be known. Thus, our task is to calculate the coefficients appearing in

J0cut(x,0;λ)=c2x2+c4x4+,J_{0}^{\text{cut}}(x,0;\lambda)=c_{2}x^{2}+c_{4}x^{4}+\cdots\;, (8)

via

c2n=1n!x2nJ0cut(x,0;λ)|x=0.c_{2n}=\frac{1}{n!}\partial_{x^{2}}^{n}J_{0}^{\text{cut}}(x,0;\lambda)\Big{|}_{x=0}\,. (9)

Note that in every expansion considered here, we ignore the constant term c0c_{0}, because the physics is unchanged by an overall shift in the free energy.

The trick to finding the (approximate) coefficients in Eq. (8) is to take λ\lambda\to\infty on c2nc_{2n} that remain finite in this limit, which turn out to be those with 2n42n\geq 4. In the weak-coupling limit, defined by ρG1\rho G\ll 1, ωD\omega_{\rm D} is large compared to other quantities characterizing the system, so taking λ\lambda\to\infty is physically justified. Indeed, from the condition F/Δ=0\partial F/\partial\Delta=0 for Eq. (4) in the limit T0T\rightarrow 0, one easily finds that the zero-temperature gap Δ0\Delta_{0} is given by

Δ0=2ωDe1/(ρG).\Delta_{0}=2\omega_{\rm D}e^{-1/(\rho G)}\,. (10)

Therefore, since in general ΔΔ0\Delta\leq\Delta_{0}, we have λ=βωDβΔ=x\lambda=\beta\omega_{\rm D}\gg\beta\Delta=x, so that λ\lambda is large relative to the other variables in Eq. (5). We also comment later on how this approximation affects the radius of convergence. In this context, we could interpret J(x,y)J_{\ell}(x,y) not as divergent and requiring regularization, but as an abbreviated form of a more complicated expression in which the infinite upper limit applies only to certain terms.

Taking a single derivative with respect to x2x^{2} in Eq. (5), letting =0\ell=0 and y=0y=0, and converting the integrand to a Matsubara sum gives

x2J0cut\displaystyle\partial_{x^{2}}J_{0}^{\text{cut}} =20λ𝑑ttanh(12x2+t2)4x2+t2\displaystyle=2\int_{0}^{\lambda}dt\,\frac{\tanh\left(\frac{1}{2}\sqrt{x^{2}+t^{2}}\,\right)}{4\sqrt{x^{2}+t^{2}}}
=20λ𝑑tk=01ω¯k2+x2+t2,\displaystyle=2\int_{0}^{\lambda}dt\,\sum_{k=0}^{\infty}\frac{1}{\bar{\omega}_{k}^{2}+x^{2}+t^{2}}\,, (11)

where ω¯kβωk\bar{\omega}_{k}\equiv\beta\omega_{k} with ωk=(2k+1)πT\omega_{k}=(2k+1)\pi T being the fermionic Matsubara frequencies. Using the series expansion in x2x^{2} of the summand, taking (n1)(n-1) more derivatives with respect to x2x^{2} under the integral and sum, and evaluating at x=0x=0, we find

x2nJ0cut|x=0\displaystyle\partial_{x^{2}}^{n}J_{0}^{\text{cut}}\Big{|}_{x=0} =20λ𝑑tk=0(1)(n1)(n1)!(ω¯k2+t2)n.\displaystyle=2\int_{0}^{\lambda}dt\,\sum_{k=0}^{\infty}\frac{(-1)^{(n-1)}(n-1)!}{(\bar{\omega}_{k}^{2}+t^{2})^{n}}\,. (12)

This expansion of the summand in x2x^{2} has a positive and finite radius of convergence for each choice of ω¯k2+t2\bar{\omega}_{k}^{2}+t^{2}, the smallest being ω¯12=π2\bar{\omega}_{1}^{2}=\pi^{2}.222In the bosonic case, on the other hand, the smallest value of ωk2\omega_{k}^{2} is zero. Integrating this term and expanding in xx gives a series with an odd term |x|3|x|^{3}, which is not analytic in x2x^{2} (see, e.g. Ref. Laine2016 ). Such a nonanalytic term does not appear in the fermionic case treated here due to nonzero ωk\omega_{k}, which acts as an infrared (IR) cutoff. Since we will eventually substitute x=βΔx=\beta\Delta, the convergence radius x2=π2x^{2}=\pi^{2} corresponds to Δ=πT\Delta=\pi T. This foreshadows—but does not immediately imply—the final result, that the radius of convergence of the GL expansion is πT\pi T.

The expression in Eq. (12) is finite in the limit λ\lambda\to\infty for n2n\geq 2. For these nn, we can interchange the sum and integral, and then use the formula

0dt(1+t2)n=(2n3)!!(2n2)!!π2,\int_{0}^{\infty}\frac{dt}{(1+t^{2})^{n}}=\frac{(2n-3)!!}{(2n-2)!!}\frac{\pi}{2}\,, (13)

which follows from a recursive relation that can be obtained using integration by parts. The remaining Matsubara sum can then be related to the Riemann zeta function, yielding

c2n4=(1)n+1n(2n3)!!(2n2)!!1π2n2(12(2n1))ζ(2n1).c_{2n\geq 4}=\frac{(-1)^{n+1}}{n}\frac{(2n-3)!!}{(2n-2)!!}\frac{1}{\pi^{2n-2}}\big{(}1-2^{-(2n-1)}\big{)}\zeta(2n-1)\;. (14)

It follows from Eq. (6) that the GL coefficients of order 2n42n\geq 4 are given by

α2n4=2ρT2n2c2n.\alpha_{2n\geq 4}=-\frac{2\rho}{T^{2n-2}}c_{2n}\,. (15)

In particular, this reproduces the well-known result for the GL coefficient of the Δ4\Delta^{4} term Gorkov1959 :

α4=7ζ(3)16ρ(πT)2.\alpha_{4}=\frac{7\zeta(3)}{16}\frac{\rho}{(\pi T)^{2}}\,. (16)

The result of the GL coefficient c2c_{2} is also known Gorkov1959 , but we also provide its derivation to make the paper self-contained. For the coefficient c2c_{2}, we must proceed more carefully, because we cannot simply take λ\lambda\to\infty (physically, ωD\omega_{\rm D} functions as a necessary UV cutoff). Using the expression in the first line of Eq. (11) at x=0x=0, and then performing the integral gives

x2J0cut|x=0\displaystyle\partial_{x^{2}}J^{\text{cut}}_{0}\Big{|}_{x=0} =12[ln(λ2)tanh(λ2)0λ/2𝑑tln(t)sech2(t)].\displaystyle=\frac{1}{2}\left[\ln\left(\frac{\lambda}{2}\right)\tanh\left(\frac{\lambda}{2}\right)-\int_{0}^{\lambda/2}dt\,\ln(t)\operatorname{sech}^{2}(t)\right]. (17)

Now we clearly see a logarithmic UV divergence in the first term, although we can still take λ\lambda\to\infty in the argument of tanh\tanh and on the remaining integral, the latter of which leads to

0𝑑tln(t)sech2(t)=ln(4eγπ),\displaystyle\int_{0}^{\infty}dt\,\ln(t)\operatorname{sech}^{2}(t)=-\ln\left(\frac{4e^{\gamma}}{\pi}\right)\,, (18)

where γ\gamma is the Euler–Mascheroni constant. Thus we have

c2=12ln(2eγπλ),c_{2}=\frac{1}{2}\ln\left(\frac{2e^{\gamma}}{\pi}\lambda\right), (19)

and the related result for BCS theory using Eq. (6) is

α2=1Gρln(2eγπωDT).\alpha_{2}=\frac{1}{G}-\rho\ln\left(\frac{2e^{\gamma}}{\pi}\frac{\omega_{\rm D}}{T}\right)\,. (20)

The above result can be re-expressed in terms of the gap Δ0\Delta_{0} at T=0T=0, using Eq. (10), giving

α2=ρln(TTc),\alpha_{2}=\rho\ln\left(\frac{T}{T_{\rm c}}\right)\,, (21)

where Tc=eγΔ0/πT_{\rm c}=e^{\gamma}\Delta_{0}/\pi is the critical temperature of the superconducting state, at which α2\alpha_{2} changes sign. Combining Eq. (10) with the formula for TcT_{\rm c}, we also find

ωDTc=π2eγ+1/(ρG).\frac{\omega_{\rm D}}{T_{\rm c}}=\frac{\pi}{2}{e}^{-\gamma+1/(\rho G)}\,. (22)

2.3 Radius of convergence

The radius of convergence of the expansion in Eq. (8) can essentially be read off of the coefficient formula (14). We have (x2)conv=π2(x^{2})_{\text{conv}}=\pi^{2} when viewed as a series in x2x^{2}, or equivalently, xconv=πx_{\text{conv}}=\pi when viewed as a series in xx. To make the argument rigorous, one can apply the ratio test, (x2)conv=limn|c2n+2/c2n|(x^{2})_{\text{conv}}=\lim_{n\to\infty}|c_{2n+2}/c_{2n}|. Finally, Eq. (6) shows that the GL expansion is essentially given by the same series, with x=βΔx=\beta\Delta, so we have Δconv=xconvT=πT\Delta_{\text{conv}}=x_{\text{conv}}T=\pi T.

Let us explain the exact meaning and implications of this result. The radius of convergence π\pi applies technically to the series whose coefficients c2nc_{2n} are given by Eq. (14), but these are computed in the limit λ\lambda\to\infty, in which the original quantity J0cutJ^{\text{cut}}_{0} becomes ill-defined. Nonetheless, it is easy to see that the true coefficients in the expansion of J0cutJ_{0}^{\text{cut}}, keeping λ\lambda finite, are bounded from above in magnitude by c2nc_{2n} in Eq. (14). This follows because the integrand of Eq. (12) is either entirely positive or entirely negative, so increasing the upper limit of integration must strictly increase its absolute value. Since c2nc_{2n} of Eq. (14) lead to a series with radius of convergence π\pi, and the series for J0cutJ_{0}^{\text{cut}} with λ\lambda finite has its coefficients bounded by the former, we can actually conclude that the radius of convergence is at least π\pi for the true expansion of J0cutJ_{0}^{\text{cut}}, and hence the GL expansion has radius of convergence of at least πT\pi T.

When using the GL expansion to approximate and solve the gap equation, the key question is whether the true gap Δexact\Delta_{\text{exact}} falls within this convergence radius, Δexact<Δconv\Delta_{\text{exact}}<\Delta_{\text{conv}}. When this condition is satisfied, then the solution of the NNth-order GL expansion, ΔGL,N\Delta_{\text{GL},N}, will converge to Δexact\Delta_{\text{exact}} as NN\to\infty. This is the convergence of the GL solution. Note that this should be distinguished from the convergence of the GL expansion itself over some (possibly vanishing) range 0Δ<Δconv0\leq\Delta<\Delta_{\text{conv}} for each fixed TT.

The range of temperatures over which the GL solution converges is indicated in the left panel of Fig. 1 (orange shaded region). We searched numerically for the temperature at which Δexact\Delta_{\text{exact}} drops below Δconv\Delta_{\text{conv}} over a range of parameter values for ρG\rho G. For each ρG\rho G, the value of ωD/Tc\omega_{\rm D}/T_{\rm c} is fixed by Eq. (22), so ρG\rho G is the only parameter of the theory when all quantities are expressed relative to TcT_{\rm c}. Note that the lower boundary of the convergence region is nearly constant over the given range of ρG\rho G (e.g. for ρG0.21\rho G\leq 0.21 the GL solution converges when T/Tc0.53T/T_{\rm c}\geq 0.53). The right panel of Fig. 1 shows Δ\Delta vs. TT computed from the gap equation and also from 6th- and 20th-order GL expansions. Both GL expansions are reliable near TcT_{\rm c}, as expected, and the 20th-order GL solutions remain reliable over a wider range of TT.

Let us also comment on how the GL solutions in the right panel of Fig. 1 are calculated. Since solving the stationary equation F/Δ=0\partial F/\partial\Delta=0 for an NNth-order GL expansion involves finding the roots of an (N1)(N-1)th-order polynomial in Δ\Delta, one should expect in general to find up to N1N-1 potential solutions. Moreover, if the largest coefficient in such an NNth-order GL expansion is negative, then the free energy must eventually decrease toward -\infty as Δ\Delta\to\infty, so one cannot determine the GL solutions simply by finding the global minimum. Instead, we essentially just search for the local minimum with the smallest free energy over 0ΔΔconv0\leq\Delta\leq\Delta_{\text{conv}}. Although many more real roots of the stationary equation can appear with increasing NN, in practice these occur far outside the radius of convergence, and hence they are easily neglected. The only additional complication is that the minimum in the 20th-order case gradually shifts and moves outside the convergence region as T/TcT/T_{\rm c} drops below 0.530.53, and we continue to plot this minimum in the right panel of Fig. 1 (blue dotted curve left of vertical line). We treat this as the solution because it remains close to the convergence region and is continuously connected to the solution at higher TT. Note that this minimum remains well defined at all TT because α20\alpha_{20} is positive; by contrast, the red dashed curve vanishes for T/Tc<0.69T/T_{\rm c}<0.69 because the relevant local minimum at 6th order truly vanishes at these temperatures.

Refer to caption
(a)
Refer to caption
(b)
Figure 1: Left: Region in which the GL solution converges for BCS theory. The black dashed line denotes the second-order phase transition, and the orange shaded region indicates where the GL solution converges with Δ>0\Delta>0. Right: BCS gap versus temperature, computed by solving the gap equation using the exact free energy (black), a 6th-order GL expansion (pink, dashed), and a 20th-order GL expansion (blue, dotted). GL solution should converge to the right of the vertical gray line, i.e. T/Tc0.53T/T_{\rm c}\geq 0.53. These data are computed for ρG=0.18\rho G=0.18.

3 GL expansion in the NJL Model

In this section, we show how the expression J2(x,y)J_{2}(x,y) appears in the GL expansion for the dynamical quark mass in the NJL model and how it can be regularized in this setting. We then solve for the nnth-order GL coefficients and convergence radius.

3.1 Microscopic theory and free energy

The two-flavor NJL Lagrangian is given by Nambu:1961tp ; Klevansky:1992qe ; Hatsuda:1994pi ; Buballa:2003qv :

NJL=ψ¯(iγμμm^)ψ+G[(ψ¯ψ)2+(ψ¯iγ5τaψ)2].\mathcal{L}_{\text{NJL}}=\bar{\psi}(i\gamma^{\mu}\partial_{\mu}-\hat{m})\psi+G\big{[}(\bar{\psi}\psi)^{2}+(\bar{\psi}i\gamma^{5}\tau^{a}\psi)^{2}\big{]}. (23)

Here ψ=(u,d)\psi=({\rm u,d})^{\top} is a two-flavor quark field, m^=diag(mu,md)\hat{m}=\operatorname{diag}(m_{\rm u},m_{d}) is the bare quark mass matrix in flavor space, GG is a four-fermion coupling constant, and τa\tau^{a} are the Pauli matrices acting in flavor space. This model retains the approximate chiral symmetry of QCD, which becomes exact in the chiral limit m^0\hat{m}\to 0. We will assume the chiral limit from now on.

In vacuum, chiral symmetry is spontaneously broken by the formation of a quark–antiquark pairing σ=ψ¯ψ\sigma=\langle\bar{\psi}\psi\rangle, called the chiral condensate. To study the behavior of the condensate σ\sigma as a function of temperature TT and quark chemical potential μ\mu, we expand Eq. (23) about the ansatz:

ψ¯ψ=σ,ψ¯iγ5τaψ=0(a=1,2,3).\langle\bar{\psi}\psi\rangle=\sigma,\qquad\langle\bar{\psi}i\gamma^{5}\tau^{a}\psi\rangle=0\quad(a=1,2,3). (24)

We note that at sufficiently large densities, or even small finite densities and in the presence of a magnetic field, this ansatz is known to be disfavored over various spatially inhomogeneous condensates within the mean-field approximation Buballa:2014tba , the simplest being the so-called chiral density wave, given by ψ¯ψ+iψ¯iγ5τ3ψ=σeiqz\langle\bar{\psi}\psi\rangle+i\langle\bar{\psi}i\gamma^{5}\tau^{3}\psi\rangle=\sigma e^{iqz}. In this paper, we restrict to the homogeneous case for simplicity.

In the mean-field approximation, one can show that the free energy is given by Hatsuda:1994pi ; Buballa:2003qv :

Ωpre-reg=M24G2NfNcd3k(2π)3[E𝒌+ζ=±1Tln(1+eβ(E𝒌+ζμ))],\Omega_{\text{pre-reg}}=\frac{M^{2}}{4G}-2N_{\rm f}N_{\rm c}\int\frac{d^{3}k}{(2\pi)^{3}}\left[E_{\bm{k}}+\sum_{\zeta=\pm 1}T\ln\left(1+e^{-\beta(E_{\bm{k}}+\zeta\mu)}\right)\right], (25)

where M=2GσM=-2G\sigma can be interpreted as the dynamical mass of quarks due to the chiral condensate; Nf=2N_{\rm f}=2 and Nc=3N_{\rm c}=3 are the numbers of flavors and colors, respectively; and E𝒌=𝒌2+M2E_{\bm{k}}=\sqrt{\bm{k}^{2}+M^{2}}. Making the transformations x=βkx=\beta k and y=βμy=\beta\mu, we find

Ωpre-reg=M24GNfNcπ2T4J2(βM,βμ).\Omega_{\text{pre-reg}}=\frac{M^{2}}{4G}-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}T^{4}J_{2}(\beta M,\beta\mu)\,. (26)

Here, the divergence of J2J_{2} reflects the zero-point vacuum energy, and this divergence must be regularized in order to carry out numerical calculations. Several schemes are in common use Klevansky:1992qe . For consistency with the last section, we will impose a simple momentum cutoff Λ\Lambda, and take Λ\Lambda\to\infty on any terms that remain finite in this limit. Such a cutoff clearly violates Lorentz invariance, which can lead to undesired consequences when the condensate under consideration is inhomogeneous Buballa:2014tba . In that context, covariant regularization methods, such as the Schwinger proper time method Schwinger:1951nm , are typically used instead. Since we consider only homogeneous condensates in this paper, the following analytical results based on a simple cutoff are physically meaningful. However, the numerical accuracy of the approximation Λ=\Lambda=\infty is somewhat limited in this setting, as we will discuss in Sect. 3.3. It is also possible to solve for the GL coefficients using the proper time method, and in fact, that allows for analytical formulas for the GL coefficients even without taking the limit Λ\Lambda\to\infty; these results are given in Appendix A. For the sake of accuracy, we use the proper time method in the numerical results presented in Fig. 2.

Imposing the momentum cutoff |𝒌|<Λ|\bm{k}|<\Lambda in Eq. (25), we find

Ωcut=M24GNfNcπ2T4J2cut(βM,βμ;βΛ).\Omega^{\text{cut}}=\frac{M^{2}}{4G}-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}T^{4}J_{2}^{\text{cut}}(\beta M,\beta\mu;\beta\Lambda)\,. (27)

3.2 nth-order coefficient formulas

As in the previous case, the GL expansion takes the form

Ω=α2M2+α4M4+.\Omega=\alpha_{2}M^{2}+\alpha_{4}M^{4}+\cdots. (28)

The coefficient α4\alpha_{4} was previously computed in Ref. Yamamoto:2007ah , but the expression for the generic coefficient α2n\alpha_{2n} has not been calculated explicitly, to the best of our knowledge. These coefficients are determined by the expansion coefficients of J2cut(x,y;λ)J_{2}^{\text{cut}}(x,y;\lambda) in powers of xx,

J2cut(x,y;λ)=c2x2+c4x4+,J_{2}^{\text{cut}}(x,y;\lambda)=c_{2}x^{2}+c_{4}x^{4}+\cdots, (29)

via

c2n=1n!x2nJ2cut(x,y;λ)|x=0,c_{2n}=\frac{1}{n!}\partial_{x^{2}}^{n}J_{2}^{\text{cut}}(x,y;\lambda)\Big{|}_{x=0}\,, (30)

which we will now derive. Finally, once the c2nc_{2n} coefficients are known, the α2n\alpha_{2n} coefficients follow immediately from Eq. (27),

α2n=δn14GNfNcπ2c2nT2n4|y=βμ,λ=βΛ.\alpha_{2n}=\frac{\delta_{n1}}{4G}-\frac{N_{\text{f}}N_{\text{c}}}{\pi^{2}}\frac{c_{2n}}{T^{2n-4}}\Big{|}_{y=\beta\mu,\lambda=\beta\Lambda}\,. (31)

The two differences from the BCS case are that we now have J2J_{2} rather than J0J_{0}, and we now have y0y\neq 0. The appearance of J2J_{2} adds a factor of t2t^{2} to the integrand, which strengthens the UV divergence, and as a result, we will need to keep λ\lambda finite on the c4c_{4} coefficient in addition to c2c_{2}. Having y0y\neq 0 complicates the algebra, but does not significantly affect the overall approach.

Following the same procedure as in the BCS case, we start by taking a single derivative with respect to x2x^{2}, giving

x2J2cut\displaystyle\partial_{x^{2}}J_{2}^{\text{cut}} =0λ𝑑tζ=±1t24x2+t2tanh(x2+t2+ζy2)\displaystyle=\int_{0}^{\lambda}dt\sum_{\zeta=\pm 1}\frac{t^{2}}{4\sqrt{x^{2}+t^{2}}}\tanh\left(\frac{\sqrt{x^{2}+t^{2}}+\zeta y}{2}\,\right)
=0λ𝑑tζ=±1t2x2+t2k=0x2+t2+ζyω¯k2+(x2+t2+ζy)2,\displaystyle=\int_{0}^{\lambda}dt\,\sum_{\zeta=\pm 1}\frac{t^{2}}{\sqrt{x^{2}+t^{2}}}\sum_{k=0}^{\infty}\frac{\sqrt{x^{2}+t^{2}}+\zeta y}{\bar{\omega}_{k}^{2}+(\sqrt{x^{2}+t^{2}}+\zeta y)^{2}}\,, (32)

where ω¯k=(2k+1)π\bar{\omega}_{k}=(2k+1)\pi, as before. After applying the identity

ζ=±11bb+ζca2+(b+ζc)2=ζ=±11b2+(a+iζc)2,\sum_{\zeta=\pm 1}\frac{1}{b}\cdot\frac{b+\zeta c}{a^{2}+(b+\zeta c)^{2}}=\sum_{\zeta=\pm 1}\frac{1}{b^{2}+(a+i\zeta c)^{2}}\,, (33)

we obtain

x2J2cut=2Rek=00λ𝑑tt2x2+t2+(ω¯k+iy)2.\partial_{x^{2}}J_{2}^{\text{cut}}=2\operatorname{Re}\sum_{k=0}^{\infty}\int_{0}^{\lambda}dt\frac{t^{2}}{x^{2}+t^{2}+(\bar{\omega}_{k}+iy)^{2}}\,. (34)

At this point, in close analogy to the comment after Eq. (12), we may see a hint of the final result for the radius of convergence. If one expands the integrand in powers of x2x^{2}, the resulting series has radius of convergence xconv2=|t2+(ω¯k+iy)2|x_{\text{conv}}^{2}=|t^{2}+(\bar{\omega}_{k}+iy)^{2}|. Taking t0t\to 0 then gives xconv2=|ω¯k+iy|2x_{\text{conv}}^{2}=|\bar{\omega}_{k}+iy|^{2}, the minimum of which is xconv2=π2+y2x_{\text{conv}}^{2}=\pi^{2}+y^{2}; recalling that x=βMx=\beta M and y=βμy=\beta\mu, this corresponds to Mconv=μ2+(πT)2M_{\text{conv}}=\sqrt{\mu^{2}+(\pi T)^{2}}. However, this heuristic argument is fairly crude, partly because the quantity |t2+(ω¯k+iy)2||t^{2}+(\bar{\omega}_{k}+iy)^{2}| need not be minimized in the limit t0t\to 0. We therefore proceed to the rigorous proof.

Taking n1n-1 more derivatives of Eq. (34) with respect to x2x^{2}, introducing a variable s=t/(ω¯k+iy)s=t/(\bar{\omega}_{k}+iy), and letting λ\lambda\to\infty, we find

x2nJ2cut|x=0=2(1)n1(n1)!Rek=01(ω¯k+iy)2n30𝑑ss2(s2+1)n.\partial_{x^{2}}^{n}J_{2}^{\text{cut}}\Big{|}_{x=0}=2(-1)^{n-1}(n-1)!\operatorname{Re}\sum_{k=0}^{\infty}\frac{1}{(\bar{\omega}_{k}+iy)^{2n-3}}\int_{0}^{\infty}ds\frac{s^{2}}{(s^{2}+1)^{n}}\,. (35)

The integral is easily performed by using Eq. (13), giving

0𝑑ss2(1+s2)n=(2n5)!!(2n2)!!π2.\int_{0}^{\infty}ds\frac{s^{2}}{(1+s^{2})^{n}}=\frac{(2n-5)!!}{(2n-2)!!}\frac{\pi}{2}\,. (36)

Notice that the sum in Eq. (35) converges when n3n\geq 3. Identifying the sum with the standard series representation of the nnth-order polygamma function ψ(n)(z)=(1)n+1n!k=01/(z+k)n+1\psi^{(n)}(z)=(-1)^{n+1}n!\sum_{k=0}^{\infty}1/(z+k)^{n+1}, we finally find

c2n6=(1)nn!2n(2π)2n4(2n4)!!Reψ(2n4)(12+iy2π).c_{2n\geq 6}=\frac{(-1)^{n}}{n!2^{n}(2\pi)^{2n-4}(2n-4)!!}\operatorname{Re}\psi^{(2n-4)}\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\,. (37)

For c2c_{2} and c4c_{4}, it is more convenient to avoid writing J2J_{2} as a Matsubara sum, starting instead from the expression

J2cut\displaystyle J_{2}^{\text{cut}} =0λ𝑑tt2[x2+t2+ζ=±1ln(1+ex2+t2+ζy)].\displaystyle=\int_{0}^{\lambda}dt\,t^{2}\left[\sqrt{x^{2}+t^{2}}+\sum_{\zeta=\pm 1}\ln\left(1+e^{-\sqrt{x^{2}+t^{2}}+\zeta y}\right)\right]. (38)

For c2c_{2}, it is straightforward to calculate

x2J2cut|x=0\displaystyle\partial_{x^{2}}J_{2}^{\text{cut}}\Big{|}_{x=0} =λ24+12ζ=±1[λln(1+eλ+ζy)Li2(eλ+ζy)+Li2(eζy)],\displaystyle=\frac{\lambda^{2}}{4}+\frac{1}{2}\sum_{\zeta=\pm 1}\left[\lambda\ln\left(1+e^{-\lambda+\zeta y}\right)-\operatorname{Li}_{2}\left(-e^{-\lambda+\zeta y}\right)+\operatorname{Li}_{2}\left(-e^{\zeta y}\right)\right], (39)

where Lin(x)=k=1xk/kn\operatorname{Li}_{n}(x)=\sum_{k=1}^{\infty}x^{k}/k^{n} is the nnth polylogarithm. The first two terms under the sum in Eq. (39) vanish as λ\lambda\to\infty, and for the last term we can apply the identity Apostol1976 ,

Lin(ey)+(1)nLin(ey)=(2πi)nn!Bn(12+y2πi),\operatorname{Li}_{n}(-e^{y})+(-1)^{n}\operatorname{Li}_{n}(-e^{-y})=-\frac{(2\pi i)^{n}}{n!}B_{n}\left(\frac{1}{2}+\frac{y}{2\pi i}\right), (40)

where Bn(x)B_{n}(x) is the nnth Bernoulli polynomial. The result is

c2=14(λ2y2π23).c_{2}=\frac{1}{4}\left(\lambda^{2}-y^{2}-\frac{\pi^{2}}{3}\right)\,. (41)

The c4c_{4} coefficient is more subtle because a naive separation of Eq. (38) into vacuum and medium contributions leads to IR divergences. An efficient way to compute this coefficient is to note that after commuting the derivatives x22\partial_{x^{2}}^{2} with t2t^{2} in the integrand, we can transform them as x2(2t)1t\partial_{x^{2}}\to(2t)^{-1}\partial_{t}. This allows us to take the limit x0x\to 0 and then take derivatives with respect to tt. Performing only the rightmost derivative, we find

x22J2cut|x=0=140λ𝑑ttt1t(1ζ=±111+et+ζy).\partial_{x^{2}}^{2}J_{2}^{\text{cut}}\Big{|}_{x=0}=\frac{1}{4}\int_{0}^{\lambda}dt\,t\,\partial_{t}\frac{1}{t}\left(1-\sum_{\zeta=\pm 1}\frac{1}{1+e^{t+\zeta y}}\right). (42)

Integrating by parts, taking λ\lambda\to\infty on the boundary terms, and by applying the formula Gyory ,

limλ[ln(λ2π)0λdtt(1ζ=±111+et+ζy)]=Reψ(12+iy2π),\lim_{\lambda\to\infty}\left[\ln\left(\frac{\lambda}{2\pi}\right)-\int_{0}^{\lambda}\frac{dt}{t}\left(1-\sum_{\zeta=\pm 1}\frac{1}{1+e^{t+\zeta y}}\right)\right]=\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\,, (43)

where ψ(z)\psi(z) is the digamma function defined by ψ(z)=dlnΓ(z)/dz\psi(z)={d}\ln\Gamma(z)/dz with Γ(z)\Gamma(z) the gamma function, we obtain

x22J2cut|x=014[1ln(λ2π)+Reψ(12+iy2π)],\partial_{x^{2}}^{2}J_{2}^{\text{cut}}\Big{|}_{x=0}\approx\frac{1}{4}\left[1-\ln\left(\frac{\lambda}{2\pi}\right)+\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\right]\,, (44)

for large λ\lambda, and accordingly,

c4\displaystyle c_{4} =18[1ln(λ2π)+Reψ(12+iy2π)].\displaystyle=\frac{1}{8}\left[1-\ln\left(\frac{\lambda}{2\pi}\right)+\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\right]\,. (45)

Finally, applying Eq. (31), we have

α2\displaystyle\alpha_{2} =14GNfNcπ214(Λ2μ2π23T2),\displaystyle=\frac{1}{4G}-\frac{N_{\text{f}}N_{\text{c}}}{\pi^{2}}\frac{1}{4}\left(\Lambda^{2}-\mu^{2}-\frac{\pi^{2}}{3}T^{2}\right)\,, (46)
α4\displaystyle\alpha_{4} =NfNcπ218[1ln(Λ2πT)+Reψ(12+iμ2πT)],\displaystyle=-\frac{N_{\text{f}}N_{\text{c}}}{\pi^{2}}\frac{1}{8}\left[1-\ln\left(\frac{\Lambda}{2\pi T}\right)+\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{\mu}{2\pi T}\right)\right]\,, (47)
α2n6\displaystyle\alpha_{2n\geq 6} =NfNcπ2(1)nn!2n(2πT)2n4(2n4)!!Reψ(2n4)(12+iμ2πT).\displaystyle=-\frac{N_{\text{f}}N_{\text{c}}}{\pi^{2}}\frac{(-1)^{n}}{n!2^{n}(2\pi T)^{2n-4}(2n-4)!!}\operatorname{Re}\psi^{(2n-4)}\left(\frac{1}{2}+i\frac{\mu}{2\pi T}\right)\,. (48)

3.3 Radius of convergence

We will show that the expansion of J2cut(x,y;λ)J_{2}^{\text{cut}}(x,y;\lambda) has radius of convergence xconv=π2+y2x_{\text{conv}}=\sqrt{\pi^{2}+y^{2}}. Then, from Eq. (27), it will follow that the GL expansion has convergence radius Mconv=(xconv|y=βμ)T=μ2+(πT)2M_{\text{conv}}=(x_{\text{conv}}|_{y=\beta\mu})T=\sqrt{\mu^{2}+(\pi T)^{2}}.

First, since the convergence of any series only depends on its infinite tail, and not on any finite initial segment, we can focus on the coefficients c2n6c_{2n\geq 6} given by Eq. (37). It is straightforward to show that the radius of convergence is at least π2+y2\sqrt{\pi^{2}+y^{2}}. Using the inequality |Re(z)||z||\operatorname{Re}(z)|\leq|z| for complex zz, we have

|c2n|1n! 2n(2n4)!!1(2π)2n4|ψ(2n4)(12+iy2π)|b2n,\big{|}c_{2n}\big{|}\leq\frac{1}{n!\,2^{n}(2n-4)!!}\frac{1}{(2\pi)^{2n-4}}\bigg{|}\psi^{(2n-4)}\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\bigg{|}\eqqcolon b_{2n}\,, (49)

for 2n62n\geq 6.

Using the identity ψ(n)(x)=(1)n+1n!ζ(n+1,x)\psi^{(n)}(x)=(-1)^{n+1}n!\,\zeta(n+1,x), where ζ(s,a)=k=01/(k+a)s\zeta(s,a)=\sum_{k=0}^{\infty}1/(k+a)^{s} is the Hurwitz zeta function, one can show that

ψ(n)(x)ψ(n+2)(x)n1(n+1)(n+2)x2\frac{\psi^{(n)}(x)}{\psi^{(n+2)}(x)}\xrightarrow{n\to\infty}\frac{1}{(n+1)(n+2)}x^{2} (50)

for Re(x)>0\operatorname{Re}(x)>0, in the sense that the ratio of the quantities on the left and right sides of the arrow approaches unity as nn\to\infty. It follows that

limn|b2nb2n+2|\displaystyle\lim_{n\to\infty}\Bigg{|}\frac{b_{2n}}{b_{2n+2}}\Bigg{|} =π2+y2.\displaystyle=\pi^{2}+y^{2}. (51)

Thus, the series for J2cut(x,y;λ)J_{2}^{\text{cut}}(x,y;\lambda) in Eq. (29) is bounded in magnitude by a series with radius of convergence xconv=π2+y2x_{\text{conv}}=\sqrt{\pi^{2}+y^{2}}, so the original series has a convergence radius of at least this value. In fact, one can show the exact convergence radius is indeed π2+y2\sqrt{\pi^{2}+y^{2}}, but the proof is more involved. In particular, if we do not take the upper bound of the coefficients using |Re(z)||z||\operatorname{Re}(z)|\leq|z|, then the ratio test does not work, because the quantity [Reψ(2n4)(12+iy2π)]/[Reψ(2n2)(12+iy2π)][\operatorname{Re}\psi^{(2n-4)}(\frac{1}{2}+i\frac{y}{2\pi})]\allowbreak/[\operatorname{Re}\psi^{(2n-2)}(\frac{1}{2}+i\frac{y}{2\pi})] oscillates erratically. One can instead use the Cauchy–Hadamard theorem; we sketch this proof in Appendix B.1.

Although the results of this section were computed using a simple momentum cutoff Λ\Lambda, the radius of convergence is unaffected when using Schwinger proper time regularization. Whereas the former cutoff scheme involves taking the limit Λ\Lambda\rightarrow\infty to obtain parts of c2nc_{2n} and α2n\alpha_{2n} analytically, the latter scheme allows deriving their analytic expressions even without taking such a limit for a cutoff parameter Λ\Lambda. As shown in Appendix A, the α2n6\alpha_{2n\geq 6} coefficients are almost the same as in Eq. (48), except with small corrections proportional to inverse powers of Λ\Lambda. The key fact is that these correction terms decay faster than the α2n\alpha_{2n} coefficients calculated in this section, so they do not increase the convergence radius. We prove these statements in Appendix A.

Let us also mention that the assumption of Λ=\Lambda=\infty made when deriving Eqs. (46)–(48) is only a rough approximation in the NJL setting. The values for the two parameters Λ\Lambda and GG are determined by a choice of values for M0M_{0} and fπf_{\pi}, where M0M_{0} is the dynamical quark mass and fπf_{\pi} is the pion decay constant at T=μ=0T=\mu=0. Choosing M0=300MeVM_{0}=300\,\text{MeV} and fπ=88MeVf_{\pi}=88\,\text{MeV} in the chiral limit Nickel:2009wj ; Buballa:2014tba , we find Λ=614MeV\Lambda=614\,\text{MeV} and GΛ2=2.15G\Lambda^{2}=2.15 Klevansky:1992qe . With these values, one can numerically find Tc=182MeVT_{\rm c}=182\,\text{MeV} at μ=0\mu=0, and μc=311MeV\mu_{\rm c}=311\,\text{MeV}, where μc\mu_{c} is the chemical potential at which MM vanishes in a first-order transition with T=0T=0 fixed. Thus, Λ\Lambda is not especially large on the scale of other characteristic quantities of the system, so taking Λ\Lambda\to\infty is not fully justified. For instance, finding TcT_{\rm c} by setting α2=0\alpha_{2}=0 in Eq. (46) gives Tc=165MeVT_{\rm c}=165\,\text{MeV}. Although the series with coefficients given by Eqs. (46)–(48) converges with radius μ2+(πT)2\sqrt{\mu^{2}+(\pi T)^{2}}, the value does not converge exactly to Ω\Omega, even within this radius.

These issues are avoided when using Schwinger proper time regularization, described in Appendix A, because there the finite size of Λ\Lambda is captured in the analytical formulas for the coefficients. Therefore, the numerical results for this section, presented in Fig. 2, are computed using the Schwinger method. In this regularization scheme, again choosing M0=300MeVM_{0}=300\,\text{MeV} and fπ=88MeVf_{\pi}=88\,\text{MeV}, we find Λ=634MeV\Lambda=634\,\text{MeV} and GΛ2=6.02G\Lambda^{2}=6.02. We calculated TcT_{\rm c} over the range 0μ312MeV0\leq\mu\leq 312\,\text{MeV}, and we determined the region in the μ\mu-TT plane below TcT_{\rm c} where M<MconvM<M_{\text{conv}}, i.e. where the GL solution converges (top panel, orange shaded region). The bottom panels of Fig. 2 show MM vs. TT computed from the gap equation and also from the GL expansion at orders 6 and 20. For μ=0\mu=0 (bottom left panel), the GL solution converges only when T>92MeVT>92\,\text{MeV} (right of the vertical line); both the 66th- and 2020th-order solutions are very accurate near TcT_{\rm c}, but the 66th-order solution becomes noticeably inaccurate at T130MeVT\lesssim 130\,\text{MeV}. On the other hand, when μ=300MeV\mu=300\,\text{MeV} (bottom right panel), the phase transition is first order, and the 2020th-order solution is a noticeable improvement over the 66th-order solution across the entire range 0<T<Tc0<T<T_{\rm c}. Moreover, the GL solution converges over this entire range, and hence the 2020th-order solutions are very reliable all the way down to T=0T=0. This can be understood by considering the radius of convergence formula at T=0T=0, which reduces to Mconv=μM_{\text{conv}}=\mu, and noticing that M300MeVM\leq 300\,\text{MeV} for μ>300MeV\mu>300\,\text{MeV}.

We also note that the method used for determining the solutions of the 6th- and 20th-order GL expansions, plotted in the lower panels of Fig. 2, is exactly the same as in the BCS case, as discussed in the last paragraph of Sect. 2.3.

Refer to caption
(a)
Refer to caption
(b)
Refer to caption
(c)
Figure 2: Top: Region in which the GL solution for the dynamical quark mass converges in the NJL model using Schwinger proper time regularization. The black curve shows the critical temperature, with solid (dashed) lines indicating the first-order (second-order) phase transitions. The orange shaded region indicates where the GL solution converges when M>0M>0. Bottom: Dynamical quark mass versus temperature at μ=0\mu=0 (left) and μ=300MeV\mu=300\,\text{MeV} (right), computed by solving the gap equation using the exact free energy (black), a 6th-order GL expansion (pink, dashed), and a 20th-order GL expansion (blue, dotted).

As mentioned above and shown in Appendix A, the radius of convergence when using the proper time method is also μ2+(πT)2\sqrt{\mu^{2}+(\pi T)^{2}}. One could also ask about the radius of convergence in the cutoff method if not using the approximation Λ=\Lambda=\infty, i.e. if instead one were to calculate the GL coefficients from Eq. (27) numerically at finite Λ\Lambda. It is possible to show that in this case the radius of convergence is still given by at least μ2+(πT)2\sqrt{\mu^{2}+(\pi T)^{2}} when M>0M>0; we sketch a proof in Appendix B.2.

4 Discussions and outlook

In this paper, we studied the convergence of the GL expansion for two prominent examples—the BCS theory for superconductivity and the NJL model for chiral symmetry breaking at finite temperature TT and chemical potential μ\mu. We have shown that the convergence radii are given by Δconv=πT\Delta_{\rm conv}=\pi T and Mconv=μ2+(πT)2M_{\rm conv}=\sqrt{\mu^{2}+(\pi T)^{2}}, respectively. The difference between these two expressions can be understood physically as follows. In the BCS theory, Cooper pairing occurs close to the Fermi surface, so μ\mu dependence enters only through the density of states, which is universal for all the GL coefficients. In the NJL model, on the other hand, the chiral condensate is a pairing between quarks and antiquarks inside the Dirac sea, so the GL coefficients depend rather nontrivially on μ\mu, as shown in Eqs. (46)–(48). We also note that this difference leads to the known fact that the BCS instability appears for an infinitesimally small attractive interaction between fermions, whereas generation of the chiral condensate requires a sufficiently strong attractive interaction between quarks and antiquarks Nambu:1961tp .

In this paper, we focused on the two-flavor NJL model, where only even powers of MM appear in the GL expansion. In the three-flavor case, on the other hand, odd powers in MM can also appear in the expansion Pisarski:1983ms due to the instanton-induced interaction (or Kobayashi–Maskawa–’t Hooft interaction) Kobayashi:1970ji ; tHooft:1976rip ; tHooft:1976snw . It would be interesting to see how the radius of convergence may be affected by such terms. One can also ask about the radius of convergence of the GL theory for the chiral phase transition in QCD per se. For the mean-field approximation to be well justified, one can take the large-NcN_{\rm c} limit tHooft:1973alw ; Witten:1979kh . Because the radius of convergence for the dynamical quark mass in the NJL model above does not depend on the details of the model, such as the four-fermion coupling constant GG and cutoff Λ\Lambda,333Strictly speaking, this claim is valid for the Schwinger regularization, but not necessarily for the cutoff method. In the latter case, one can show that this radius of convergence holds whenever Tμ/πT\geq\mu/\pi or T1π12Λ2μ2T\leq\frac{1}{\pi}\sqrt{\frac{1}{2}\Lambda^{2}-\mu^{2}}, and it turns out that one of these conditions is always satisfied when T<TcT<T_{\rm c}. This need not be the case, however, for other values of Λ\Lambda and GG. See Appendix B.2. one may conjecture that large-NcN_{\rm c} QCD has the same radius of convergence, Mconv=μ2+(πT)2M_{\rm conv}=\sqrt{\mu^{2}+(\pi T)^{2}}.444The chiral phase transition is either first or second order for large-NcN_{\rm c} QCD in the chiral limit, depending on whether it coincides with the deconfinement transition Hidaka:2011jj . For the former case, the jump in MM at the phase transition has to be smaller than the radius of convergence in order for the GL solution to converge.

It would be interesting to extend our approach to the diquark condensate for color superconductivity Iida:2000ha , the interplay between chiral and diquark condensates Hatsuda:2006ps , the inhomogeneous condensates like Fulde–Ferrell–Larkin–Ovchinnikov (FFLO) pairing Fulde1964 ; Larkin1964 or inhomogeneous chiral condensates Buballa:2014tba , and other orders in condensed matter systems. We defer these questions to future work.

Acknowledgment

We thank T. Brauner for useful correspondence and comments on the manuscript. N. Y. is supported in part by the Keio Institute of Pure and Applied Sciences (KiPAS) project at Keio University and JSPS KAKENHI Grant Numbers JP19K03852 and JP22H01216. Furthermore, we acknowledge support from JSPS through the JSPS Summer Program 2023, where this collaboration was initiated.

References

  • (1) F. J. Dyson, Divergence of perturbation theory in quantum electrodynamics, Phys. Rev. 85 (1952) 631–632. doi:10.1103/PhysRev.85.631.
  • (2) C. A. Hurst, An example of a divergent perturbation expansion in field theory, Proc. Cambridge Phil. Soc. 48 (1952) 625. doi:10.1017/S0305004100076416.
  • (3) G. ’t Hooft, Can We Make Sense Out of Quantum Chromodynamics?, Subnucl. Ser. 15 (1979) 943.
  • (4) I. Aniceto, G. Basar, R. Schiappa, A Primer on Resurgent Transseries and Their Asymptotics, Phys. Rept. 809 (2019) 1–135. arXiv:1802.10441, doi:10.1016/j.physrep.2019.02.003.
  • (5) S. Grozdanov, P. K. Kovtun, A. O. Starinets, P. Tadić, Convergence of the Gradient Expansion in Hydrodynamics, Phys. Rev. Lett. 122 (25) (2019) 251601. arXiv:1904.01018, doi:10.1103/PhysRevLett.122.251601.
  • (6) C. Cartwright, M. G. Amano, M. Kaminski, J. Noronha, E. Speranza, Convergence of hydrodynamics in a rotating strongly coupled plasma, Phys. Rev. D 108 (4) (2023) 046014. arXiv:2112.10781, doi:10.1103/PhysRevD.108.046014.
  • (7) Y. Nambu, G. Jona-Lasinio, Dynamical Model of Elementary Particles Based on an Analogy with Superconductivity. 1., Phys. Rev. 122 (1961) 345–358. doi:10.1103/PhysRev.122.345.
  • (8) L. P. Gor’kov, Microscopic derivation of the ginzburg-landau equations in the theory of superconductivity, Sov. Phys. JETP 9 (6) (1959) 1364–1367.
  • (9) A. Abrikosov, I. Dzyaloshinskii, L. Gor’kov, Methods of Quantum Field Theory in Statistical Physics, Dover, New York, 1975.
  • (10) T. Brauner, Asymptotic expansion of singular integrals (unpublished notes), https://sites.google.com/site/braunercz/notes.
  • (11) M. Laine, A. Vuorinen, Basics of thermal field theory, Lect. Notes Phys 925 (1) (2016) 1701–01554.
  • (12) S. P. Klevansky, The Nambu-Jona-Lasinio model of quantum chromodynamics, Rev. Mod. Phys. 64 (1992) 649–708. doi:10.1103/RevModPhys.64.649.
  • (13) T. Hatsuda, T. Kunihiro, QCD phenomenology based on a chiral effective Lagrangian, Phys. Rept. 247 (1994) 221–367. arXiv:hep-ph/9401310, doi:10.1016/0370-1573(94)90022-1.
  • (14) M. Buballa, NJL model analysis of quark matter at large density, Phys. Rept. 407 (2005) 205–376. arXiv:hep-ph/0402234, doi:10.1016/j.physrep.2004.11.004.
  • (15) M. Buballa, S. Carignano, Inhomogeneous chiral condensates, Prog. Part. Nucl. Phys. 81 (2015) 39–96. arXiv:1406.1367, doi:10.1016/j.ppnp.2014.11.001.
  • (16) J. S. Schwinger, On gauge invariance and vacuum polarization, Phys. Rev. 82 (1951) 664–679. doi:10.1103/PhysRev.82.664.
  • (17) N. Yamamoto, M. Tachibana, T. Hatsuda, G. Baym, Phase structure, collective modes, and the axial anomaly in dense QCD, Phys. Rev. D 76 (2007) 074001. arXiv:0704.2654, doi:10.1103/PhysRevD.76.074001.
  • (18) T. M. Apostol, Introduction to Analytic Number Theory, Springer, New York, 1976. doi:10.1007/978-1-4757-5579-4_13.
  • (19) W. Gyory, Phase transitions and thermal stability of the magnetic dual chiral density wave phase in cold, dense QCD, Ph.D. thesis, CUNY Graduate Center (2023).
  • (20) D. Nickel, Inhomogeneous phases in the Nambu-Jona-Lasino and quark-meson model, Phys. Rev. D 80 (2009) 074025. arXiv:0906.5295, doi:10.1103/PhysRevD.80.074025.
  • (21) R. D. Pisarski, F. Wilczek, Remarks on the Chiral Phase Transition in Chromodynamics, Phys. Rev. D 29 (1984) 338–341. doi:10.1103/PhysRevD.29.338.
  • (22) M. Kobayashi, T. Maskawa, Chiral symmetry and eta-x mixing, Prog. Theor. Phys. 44 (1970) 1422–1424. doi:10.1143/PTP.44.1422.
  • (23) G. ’t Hooft, Symmetry Breaking Through Bell-Jackiw Anomalies, Phys. Rev. Lett. 37 (1976) 8–11. doi:10.1103/PhysRevLett.37.8.
  • (24) G. ’t Hooft, Computation of the Quantum Effects Due to a Four-Dimensional Pseudoparticle, Phys. Rev. D 14 (1976) 3432–3450, [Erratum: Phys.Rev.D 18, 2199 (1978)]. doi:10.1103/PhysRevD.14.3432.
  • (25) G. ’t Hooft, A Planar Diagram Theory for Strong Interactions, Nucl. Phys. B 72 (1974) 461. doi:10.1016/0550-3213(74)90154-0.
  • (26) E. Witten, Baryons in the 1/n Expansion, Nucl. Phys. B 160 (1979) 57–115. doi:10.1016/0550-3213(79)90232-3.
  • (27) Y. Hidaka, N. Yamamoto, No-Go Theorem for Critical Phenomena in Large-Nc QCD, Phys. Rev. Lett. 108 (2012) 121601. arXiv:1110.3044, doi:10.1103/PhysRevLett.108.121601.
  • (28) K. Iida, G. Baym, The Superfluid phases of quark matter: Ginzburg-Landau theory and color neutrality, Phys. Rev. D 63 (2001) 074018, [Erratum: Phys.Rev.D 66, 059903 (2002)]. arXiv:hep-ph/0011229, doi:10.1103/PhysRevD.63.074018.
  • (29) T. Hatsuda, M. Tachibana, N. Yamamoto, G. Baym, New critical point induced by the axial anomaly in dense QCD, Phys. Rev. Lett. 97 (2006) 122001. arXiv:hep-ph/0605018, doi:10.1103/PhysRevLett.97.122001.
  • (30) P. Fulde, R. A. Ferrell, Superconductivity in a strong spin-exchange field, Physical Review 135 (3A) (1964) A550.
  • (31) A. Larkin, Y. N. Ovchinnikov, Nonuniform state of superconductors, Zh. Eksperim. i Teor. Fiz. 47 (1964) 1136.
  • (32) E. Nakano, T. Tatsumi, Chiral symmetry and density wave in quark matter, Phys. Rev. D 71 (2005) 114006. arXiv:hep-ph/0411350, doi:10.1103/PhysRevD.71.114006.
  • (33) W. Gyory, V. de la Incera, Phase transitions and resilience of the magnetic dual chiral density wave phase at finite temperature and density, Phys. Rev. D 106 (1) (2022) 016011. arXiv:2203.14209, doi:10.1103/PhysRevD.106.016011.

Appendix A GL coefficients in the NJL model from the proper time method

The general idea of the proper time regularization amounts to making the following replacement by introducing a UV cutoff Λ\Lambda:

|E𝒌|2n=1Γ(n)0𝑑ssn1esE𝒌21Γ(n)1/Λ2𝑑ssn1esE𝒌2.|E_{\bm{k}}|^{-2n}=\frac{1}{\Gamma(n)}\int_{0}^{\infty}{ds}\,s^{n-1}e^{-sE_{\bm{k}}^{2}}\to\frac{1}{\Gamma(n)}\int_{1/\Lambda^{2}}^{\infty}{ds}\,s^{n-1}e^{-sE_{\bm{k}}^{2}}\,. (52)

For our purpose, we need the n=12n=-\frac{1}{2} case,

|E𝒌|12π1/Λ2dss3/2esE𝒌2,|E_{\bm{k}}|\to-\frac{1}{2\sqrt{\pi}}\int_{1/\Lambda^{2}}^{\infty}\frac{ds}{s^{3/2}}e^{-sE_{\bm{k}}^{2}}\,, (53)

for only the first term of Eq. (25), where we used Γ(12)=2π\Gamma(-\frac{1}{2})=-2\sqrt{\pi}. The replacement in Eq. (53) arises more naturally when deriving the free energy Ω\Omega in the proper time framework, where the divergences appear as integrals of the form 0dss3/2esE𝒌2\int_{0}^{\infty}\frac{ds}{s^{3/2}}e^{-sE_{\bm{k}}^{2}} (see, e.g. Appendix A of Ref. Nakano:2004cd ).

We can now express the free energy as a well-defined quantity,

Ω\displaystyle\Omega =M24GNfNcπ2T4J2Schw(βM,βμ;βΛ),\displaystyle=\frac{M^{2}}{4G}-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}T^{4}J_{2}^{\text{Schw}}(\beta M,\beta\mu;\beta\Lambda)\,, (54)

where

JSchw(x,y;L)=0𝑑tt[(12π1/L2dss3/2es(x2+t2))+ζ=±ln(1+e(x2+t2+ζy))].J_{\ell}^{\text{Schw}}(x,y;L)=\int_{0}^{\infty}dt\,t^{\ell}\left[\left(-\frac{1}{2\sqrt{\pi}}\int_{1/L^{2}}^{\infty}\frac{ds}{s^{3/2}}e^{-s(x^{2}+t^{2})}\right)+\sum_{\zeta=\pm}\ln\left(1+e^{-(\sqrt{x^{2}+t^{2}}+\zeta y)}\right)\right]. (55)

Let us introduce the function

F(z)=Lπe(z/L)2+zerfc(z/L)+ζ=±1ln(1+ez+ζy),F(z)=-\frac{L}{\sqrt{\pi}}e^{-(z/L)^{2}}+z\operatorname{erfc}(z/L)+\sum_{\zeta=\pm 1}\ln\left(1+e^{-z+\zeta y}\right), (56)

where erfc(x)=2πx𝑑tet2\operatorname{erfc}(x)=\frac{2}{\sqrt{\pi}}\int_{x}^{\infty}{d}t\,{e}^{-t^{2}} is the complementary error function, and we have suppressed the dependence on LL and yy to reduce clutter. One can show that t2F(x2+t2)t^{2}F(\sqrt{x^{2}+t^{2}}) is precisely the integrand of J2Schw(x,y;L)J_{2}^{\text{Schw}}(x,y;L), and this allows us to write J2Schw=12+𝑑tt2F(x2+t2)J_{2}^{\text{Schw}}=\frac{1}{2}\int_{-\infty}^{+\infty}dt\,\allowbreak t^{2}F(\sqrt{x^{2}+t^{2}}). Note also that F(z)F(z) is an even function of zz that vanishes rapidly at ±\pm\infty, which are important properties in what follows.

We then need to compute x2nF(x2+t2)|x=0=2n(t1t)nF(t)\partial_{x^{2}}^{n}F(\sqrt{x^{2}+t^{2}})\big{|}_{x=0}=2^{-n}(t^{-1}\partial_{t})^{n}F(t). The n=1n=1 case combined with an integration by parts immediately yields

c2=14+𝑑tF(t).c_{2}=-\frac{1}{4}\int_{-\infty}^{+\infty}dt\,F(t)\,. (57)

For the higher coefficients, we can put (t1t)n(t^{-1}\partial_{t})^{n} into the form t1t2n+1t^{-1}\partial_{t}^{2n+1} using repeated integration by parts. One can show that Gyory:2022hnv ; Gyory

x2n+𝑑tt2F(x2+t2)|x=0=12n(2n4)!!+𝑑tt1t2n3F(t)n2.\partial_{x^{2}}^{n}\int_{-\infty}^{+\infty}dt\,t^{2}F\big{(}\sqrt{x^{2}+t^{2}}\big{)}\Big{|}_{x=0}=-\frac{1}{2^{n}(2n-4)!!}\int_{-\infty}^{+\infty}dt\,t^{-1}\partial_{t}^{2n-3}F(t)\qquad\quad n\geq 2. (58)

The above integrals +𝑑tF(t)\int_{-\infty}^{+\infty}dtF(t) and +𝑑tt1tnF(t)\int_{-\infty}^{+\infty}dt\,t^{-1}\partial_{t}^{n}F(t) can be analytically performed for all nn Gyory :

+𝑑tF(t)=12L2+y2+13π2,\displaystyle\int_{-\infty}^{+\infty}dtF(t)=-\frac{1}{2}L^{2}+y^{2}+\frac{1}{3}\pi^{2}\,, (59)
+𝑑tt1tnF(t)\displaystyle\int_{-\infty}^{+\infty}dt\,t^{-1}\partial_{t}^{n}F(t)
={2ln(L4πeγ/2)2Reψ(12+iy2π)n=1(2)(n+1)/2(n3)!!Ln1+2(1)(n+1)/2(2π)n1Reψ(n1)(12+iy2π)n=3,5,.\displaystyle=\begin{dcases}\mathmakebox[.55][l]{2\ln\left(\frac{L}{4\pi e^{\gamma/2}}\right)-2\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{y}{2\pi}\right)}\qquad\qquad n=1\\ \mathmakebox[.55][l]{\frac{(-2)^{(n+1)/2}(n-3)!!}{L^{n-1}}+\frac{2(-1)^{(n+1)/2}}{(2\pi)^{n-1}}\operatorname{Re}\psi^{(n-1)}\left(\frac{1}{2}+i\frac{y}{2\pi}\right)}\qquad\qquad n=3,5,\dots\,.\end{dcases} (60)

We therefore have

c2\displaystyle c_{2} =14(12L2y213π2),\displaystyle=\frac{1}{4}\left(\frac{1}{2}L^{2}-y^{2}-\frac{1}{3}\pi^{2}\right)\,, (61)
c4\displaystyle c_{4} =18[ln(L4πeγ/2)+Reψ(12+iy2π)],\displaystyle=\frac{1}{8}\left[-\ln\left(\frac{L}{4\pi e^{\gamma/2}}\right)+\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\right]\,, (62)

and

c2n6\displaystyle c_{2n\geq 6} =c2nvac+c2nmed,\displaystyle=c_{2n}^{\text{vac}}+c_{2n}^{\text{med}}, (63)
c2nvac\displaystyle c_{2n}^{\text{vac}} =(1)nn!(2n4)!![(2n6)!!4L2n4],\displaystyle=\frac{(-1)^{n}}{n!\,(2n-4)!!}\bigg{[}\frac{(2n-6)!!}{4L^{2n-4}}\bigg{]}\,, (64)
c2nmed\displaystyle c_{2n}^{\text{med}} =(1)nn!(2n4)!![12n(2π)2n4Reψ(2n4)(12+iy2π)].\displaystyle=\frac{(-1)^{n}}{n!\,(2n-4)!!}\bigg{[}\frac{1}{2^{n}(2\pi)^{2n-4}}\operatorname{Re}\psi^{(2n-4)}\left(\frac{1}{2}+i\frac{y}{2\pi}\right)\bigg{]}\,. (65)

It now follows from Eq. (54) that the GL coefficients are given by

α2n=δ2,n4GNfNcπ2T42nc2n|yβμ,LβΛ.\alpha_{2n}=\frac{\delta_{2,n}}{4G}-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}T^{4-2n}c_{2n}\Big{|}_{y\to\beta\mu,L\to\beta\Lambda}\,. (66)

Explicitly,

α2\displaystyle\alpha_{2} =14GNfNcπ214(Λ22μ213π2T2),\displaystyle=\frac{1}{4G}-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}\frac{1}{4}\left(\frac{\Lambda^{2}}{2}-\mu^{2}-\frac{1}{3}\pi^{2}T^{2}\right)\,, (67)
α4\displaystyle\alpha_{4} =NfNcπ218[ln(Λ4πeγ/2T)+Reψ(12+iμ2πT)],\displaystyle=-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}\frac{1}{8}\left[-\ln\left(\frac{\Lambda}{4\pi e^{\gamma/2}T}\right)+\operatorname{Re}\psi\left(\frac{1}{2}+i\frac{\mu}{2\pi T}\right)\right]\,, (68)
α2n6\displaystyle\alpha_{2n\geq 6} =NfNcπ2(1)nn!(2n4)!![(2n6)!!4Λ2n4+12n(2πT)2n4Reψ(2n4)(12+iμ2πT)].\displaystyle=-\frac{N_{\rm f}N_{\rm c}}{\pi^{2}}\frac{(-1)^{n}}{n!\,(2n-4)!!}\bigg{[}\frac{(2n-6)!!}{4\Lambda^{2n-4}}+\frac{1}{2^{n}(2\pi T)^{2n-4}}\operatorname{Re}\psi^{(2n-4)}\left(\frac{1}{2}+i\frac{\mu}{2\pi T}\right)\bigg{]}\,. (69)

Note that the only differences between these coefficients and those given in Eqs. (46)–(48) are in the terms involving Λ\Lambda, as expected. We also note that these coefficients can be regarded as a special case of those derived in Refs. Gyory ; Gyory:2022hnv for the case of an inhomogeneous chiral condensate in a magnetic field, after setting B=0B=0 and considering only terms in the GL expansion that do not contain any gradients.

Let us now focus on the coefficients c2n6c_{2n\geq 6} and consider the convergence of the corresponding series. Since each coefficient is a sum of two parts, c2n6=c2nvac+c2nmedc_{2n\geq 6}=c_{2n}^{\text{vac}}+c_{2n}^{\text{med}}, the series for J2Schw(x,y;L)J_{2}^{\text{Schw}}(x,y;L) can be separated into two subseries,

J2Schw(x,y;L)\displaystyle J_{2}^{\text{Schw}}(x,y;L) =c2x2+c4x4+c6x6+\displaystyle=c_{2}x^{2}+c_{4}x^{4}+c_{6}x^{6}+\cdots
=c2x2+c4x4\displaystyle=c_{2}x^{2}+c_{4}x^{4}
+(c6vacx6+c8vacx8+)\displaystyle\quad+(c_{6}^{\text{vac}}x^{6}+c_{8}^{\text{vac}}x^{8}+\cdots)
+(c6medx6+c8medx8+).\displaystyle\quad+(c_{6}^{\text{med}}x^{6}+c_{8}^{\text{med}}x^{8}+\cdots). (70)

This rearrangement of terms is justified because rearrangements can only affect a conditionally convergent series (or more accurately, a series for which some rearrangement converges conditionally), and power series can only converge conditionally at their exact radius of convergence. Thus, rearranging a power series cannot change its convergence radius. It is easy to check that the first subseries, whose coefficients are c2nvacc_{2n}^{\text{vac}}, has infinite radius of convergence, e.g. by applying the ratio test. Therefore, the convergence radius of the original series is determined by that of the second subseries, whose coefficients are c2nmedc_{2n}^{\text{med}}. But c2n6medc_{2n\geq 6}^{\text{med}} are precisely the coefficients c2n6c_{2n\geq 6} that were calculated in Sect. 3.2 using the momentum cutoff, so the radius of convergence here is the same as in the previous case.

Appendix B Convergence radius for the GL expansion in the NJL model

When computing the GL coefficients for the NJL model in Sect. 3.2, we approximated Λ\Lambda as being very large compared to other characteristic quantities of the system, resulting in the coefficients given by Eqs. (46)–(48). Let us denote the radius of convergence associated with these coefficients by Mconvcut,ΛM_{\text{conv}}^{\text{cut,}\Lambda\to\infty}. One can also consider the radius of convergence of the GL expansion obtained using cutoff regularization, but without taking the limit Λ\Lambda\rightarrow\infty (although we have not found simple analytical formulas for the coefficients in this case). Let us denote the latter radius of convergence by MconvcutM_{\text{conv}}^{\text{cut}}. Finally, let us denote by MconvSchwM_{\text{conv}}^{\text{Schw}} the radius of convergence of the GL expansion when using the Schwinger proper time regularization scheme.

Using the above notation, we can summarize the previous results as follows:

MconvSchw=(i)Mconvcut,Λ(ii)μ2+(πT)2.M_{\text{conv}}^{\text{Schw}}\overset{({\rm i})}{=}M_{\text{conv}}^{\text{cut,}\Lambda\to\infty}\overset{({\rm ii})}{\geq}\sqrt{\mu^{2}+(\pi T)^{2}}. (71)

(i) was shown at the end of Appendix A, and (ii) was shown at the end of Sect. 3.3. In the first part of this appendix, we show that equality holds in (ii), i.e. Mconvcut,Λ=μ2+(πT)2M_{\text{conv}}^{\text{cut,}\Lambda\to\infty}=\sqrt{\mu^{2}+(\pi T)^{2}}. In the second part of this appendix, we consider the case of cutoff regularization without assuming Λ\Lambda\to\infty, and we show that Mconvcutμ2+(πT)2M_{\text{conv}}^{\text{cut}}\geq\sqrt{\mu^{2}+(\pi T)^{2}} over the region in the μ\mu-TT plane where M>0M>0, after fixing Λ\Lambda and GG such that M0=300MeVM_{0}=300\,\text{MeV} and fπ=88MeVf_{\pi}=88\,\text{MeV}.

B.1 Cutoff regularization with Λ\Lambda\to\infty

According to the Cauchy–Hadamard theorem, the radius of convergence of the series c2x2+c4x4+c_{2}x^{2}+c_{4}x^{4}+\cdots is given by

(xconv)1=lim supn|c2n|2n.(x_{\text{conv}})^{-1}=\limsup_{n\to\infty}\sqrt[2n]{|c_{2n}|}\,. (72)

Applying this theorem to c2nc_{2n} given by Eq. (37), and using the formula ψ(n)(x)=(1)n+1n!ζ(n+1,x)\psi^{(n)}(x)=(-1)^{n+1}n!\,\zeta(n+1,x) and the fact that |a|n1\sqrt[n]{|a|}\to 1 as nn\to\infty for any a0a\neq 0, we find

(xconv)1=12πlim supn(2n5)!!(2n)!!2n|Rej=01(j+12+iy2π)2n3|2n.(x_{\text{conv}})^{-1}=\frac{1}{2\pi}\limsup_{n\to\infty}\sqrt[2n]{\frac{(2n-5)!!}{(2n)!!}}\sqrt[2n]{\Bigg{|}\operatorname{Re}\sum_{j=0}^{\infty}\frac{1}{(j+\tfrac{1}{2}+i\tfrac{y}{2\pi})^{2n-3}}\Bigg{|}}\,. (73)

It is easy to show that the first factor in the limit approaches 11. For the second factor, the terms except for j=0j=0 in the sum over jj become negligible as nn\to\infty, so we have

(xconv)1\displaystyle(x_{\text{conv}})^{-1} =|z|2πlim supn|Re(z^2n3)|2n,\displaystyle=\frac{|z|}{2\pi}\limsup_{n\to\infty}\sqrt[2n]{\big{|}\operatorname{Re}(\hat{z}^{2n-3})\big{|}}\,, (74)

where z=1/(12+iy2π)z=1/\left({\tfrac{1}{2}+i\tfrac{y}{2\pi}}\right) and z^=z/|z|=e2πiϕ\hat{z}=z/|z|=e^{2\pi i\phi} is a complex phase of unit magnitude. The result will follow if we can show that the remaining lim sup evaluates to unity. First, we have |Re(z^2n3)|2n|(z^2n3)|2n=1\sqrt[2n]{|\operatorname{Re}(\hat{z}^{2n-3})|}\leq\sqrt[2n]{|(\hat{z}^{2n-3})|}=1, so we must only show that |Re(z^2n3)|2n\sqrt[2n]{|\operatorname{Re}(\hat{z}^{2n-3})|} contains a subsequence converging to 11. If ϕ\phi is rational, then z^2n3\hat{z}^{2n-3} will cycle through finitely many values infinitely many times. Letting a=|Re(z^)|a=|\operatorname{Re}(\hat{z})|, there is a subsequence a2n\sqrt[2n]{a}, which converges to 11. If ϕ\phi is irrational, then the set of points {e2πiϕn|n}\{e^{2\pi i\phi n}\,|\,n\in\mathbb{N}\} is dense in the unit circle, and hence so is the set {e2πiϕ(2n3)|n}\{e^{2\pi i\phi(2n-3)}\,|\,n\in\mathbb{N}\}. Thus we can choose a subsequence {an}\{a_{n}\} of e2πiϕ(2n3)e^{2\pi i\phi(2n-3)} whose elements all have real part at least 12\frac{1}{2}, and then |Re(an)|2n1\sqrt[2n]{|\operatorname{Re}(a_{n})|}\to 1.

B.2 Cutoff regularization with finite Λ\Lambda

Starting from Eq. (34) and repeating the calculation without taking λ\lambda\to\infty, we find

c2n6=2(1)n1nRek=01Ak2n30λ/Ak𝑑ss2(1+s2)n,c_{2n\geq 6}=\frac{2(-1)^{n-1}}{n}\operatorname{Re}\sum_{k=0}^{\infty}\frac{1}{A_{k}^{2n-3}}\int_{0}^{\lambda/A_{k}}{d}s\frac{s^{2}}{(1+s^{2})^{n}}, (75)

where we have defined Ak:=(2k+1)π+iyA_{k}:=(2k+1)\pi+{i}y. Because λ/Ak\lambda/A_{k} is complex, the integral in Eq. (75) must now be interpreted as a contour integral. Let CkC_{k} be some contour that starts at the origin, ends at λ/Ak\lambda/A_{k}, and avoids the poles at s=±is=\pm i; we will consider two different choices of CkC_{k}. Let |Ck||C_{k}| denote the length of the contour CkC_{k}.

Applying the Cauchy–Hadamard theorem (72), we have

(xconv)1\displaystyle(x_{\text{conv}})^{-1} lim supnk=01|Ak|2n3|Ck|maxsCk|s2(1+s2)n|2n.\displaystyle\leq\limsup_{n\to\infty}\sqrt[2n]{\sum_{k=0}^{\infty}\frac{1}{|A_{k}|^{2n-3}}|C_{k}|\max_{s\in C_{k}}\left|\frac{s^{2}}{(1+s^{2})^{n}}\right|}\,. (76)

Recall that Eq. (76) holds for any valid choice of contours CkC_{k}. Let us first consider contours that follow the straight line from the origin to λ/Ak\lambda/A_{k}. If yπy\leq\pi, then y(2k+1)πy\leq(2k+1)\pi for all kk, and it is easy to show that |1+s2|1|1+s^{2}|\geq 1 for all sCks\in C_{k}. We therefore have

(xconv)1\displaystyle(x_{\text{conv}})^{-1} lim supnk=01|Ak|2n3|λAk||λAk|22n\displaystyle\leq\limsup_{n\to\infty}\sqrt[2n]{\sum_{k=0}^{\infty}\frac{1}{|A_{k}|^{2n-3}}\left|\frac{\lambda}{A_{k}}\right|\left|\frac{\lambda}{A_{k}}\right|^{2}}
=1|A0|,\displaystyle=\frac{1}{|A_{0}|}\,, (77)

which shows that xconvπ2+y2x_{\text{conv}}\geq\sqrt{\pi^{2}+y^{2}} if yπy\leq\pi.

More generally, for any yy\in\mathbb{R}, one can derive the weaker lower bound

minyCk|1+y2|2(2k+1)πy|Ak|2,\min_{y\in C_{k}}|1+y^{2}|\geq 2\frac{(2k+1)\pi y}{|A_{k}|^{2}}\,, (78)

from which we find

(xconv)1\displaystyle(x_{\text{conv}})^{-1} lim supnk=01|Ak|2n3|λAk||λAk|2(|Ak|22(2k+1)πy)n2n\displaystyle\leq\limsup_{n\to\infty}\sqrt[2n]{\sum_{k=0}^{\infty}\frac{1}{|A_{k}|^{2n-3}}\left|\frac{\lambda}{A_{k}}\right|\left|\frac{\lambda}{A_{k}}\right|^{2}\left(\frac{|A_{k}|^{2}}{2(2k+1)\pi y}\right)^{n}}
=12πy.\displaystyle=\frac{1}{\sqrt{2\pi y}}\,. (79)

Thus, we always have xconv2πyx_{\text{conv}}\geq\sqrt{2\pi y}, or equivalently, Mconv2πμTM_{\text{conv}}\geq\sqrt{2\pi\mu T}. It is easy to check that the previous lower bound xconvπ2+y2x_{\text{conv}}\geq\sqrt{\pi^{2}+y^{2}}, which holds (at least) if yπy\leq\pi, is always an improvement over 2πy\sqrt{2\pi y} (except precisely at y=πy=\pi, where the two bounds are equal).

Finally, by considering a different choice of the contour C0C_{0}, one can show that the improved lower bound xconvπ2+y2x_{\text{conv}}\geq\sqrt{\pi^{2}+y^{2}} holds over a larger region of parameter space. Let C0C_{0} now be the contour that runs first along the positive real axis from 0 to |λ/A0||\lambda/A_{0}|, and then along a circular arc of constant radius from |λ/A0||\lambda/A_{0}| to λ/A0\lambda/A_{0} (we let CkC_{k} for k>0k>0 be the same as before). It is then easy to show that if |λ/A0|2|\lambda/A_{0}|\geq\sqrt{2}, then again |1+s2|1|1+s^{2}|\geq 1 for all sC0s\in C_{0}. We also have |Ck|(1+π/2)|λ/Ak||C_{k}|\leq(1+\pi/2)|\lambda/A_{k}| for all kk, from which we find

(xconv)1\displaystyle(x_{\text{conv}})^{-1} lim supnk=01|Ak|2n3(1+π2)|λAk||λAk|2maxsCk1|1+s2|n2n\displaystyle\leq\limsup_{n\to\infty}\sqrt[2n]{\sum_{k=0}^{\infty}\frac{1}{|A_{k}|^{2n-3}}\left(1+\frac{\pi}{2}\right)\left|\frac{\lambda}{A_{k}}\right|\left|\frac{\lambda}{A_{k}}\right|^{2}\max_{s\in C_{k}}\frac{1}{|1+s^{2}|^{n}}}
=1|A0|.\displaystyle=\frac{1}{|A_{0}|}\,. (80)

We have shown that xconv2πyx_{\text{conv}}\geq\sqrt{2\pi y} for all yy\in\mathbb{R}, and that the improved lower bound xconvπ2+y2x_{\text{conv}}\geq\sqrt{\pi^{2}+y^{2}} holds if yπy\leq\pi or |λ/A0|2|\lambda/A_{0}|\geq\sqrt{2} (in fact, these conditions are sufficient, but not necessary). The condition |λ/A0|2|\lambda/A_{0}|\geq\sqrt{2} is equivalent to y12λ2π2y\leq\sqrt{\frac{1}{2}\lambda^{2}-\pi^{2}}, and it follows that

Tμ/πorT1π12Λ2μ2}Mconvμ2+(πT)2.\left.\begin{aligned} T&\geq\mu/\pi\\ &\text{or}\\ T&\leq\tfrac{1}{\pi}\sqrt{\tfrac{1}{2}\Lambda^{2}-\mu^{2}}\\ \end{aligned}\quad\right\}\implies M_{\text{conv}}\geq\sqrt{\mu^{2}+(\pi T)^{2}}. (81)

Fig. 3 shows the region in the μ\mu-TT plane where the two conditions in Eq. (81) hold, along with TcT_{\rm c} computed using cutoff regularization.

Refer to caption
Figure 3: Convergence behavior of the GL expansion using cutoff regularization without assuming Λ=\Lambda=\infty. In the shaded regions corresponding to the conditions given in Eq. (81), we have Mconvcutμ2+(πT)2M_{\text{conv}}^{\text{cut}}\geq\sqrt{\mu^{2}+(\pi T)^{2}}, and in the unshaded region we have the weaker lower bound Mconvcut2πμTM_{\text{conv}}^{\text{cut}}\geq\sqrt{2\pi\mu T}. The blue shaded region corresponds to Tμ/πT\geq\mu/\pi, and the red shaded region corresponds to T1π12Λ2μ2T\leq\frac{1}{\pi}\sqrt{\frac{1}{2}\Lambda^{2}-\mu^{2}}. The black curve shows TcT_{\rm c}, computed by solving the gap equation numerically with cutoff regularization, with solid (dashed) lines indicating the first-order (second-order) transitions. We use Λ=614MeV\Lambda=614\,\text{MeV} and GΛ2=2.15G\Lambda^{2}=2.15 as described in Sect. 3.3.