White dwarf stars exceeding the Chandrasekhar mass limit

Highlights

A nearly degenerate electron plasma pervading an ionized high-density background medium is studied, as it occurs in stellar matter.

The Dirac equation coupled to the permeability tensor of the medium leads to nonlinear electron dispersion in the ultra-relativistic regime.

The quantized spectral density of a low-temperature electron gas in a dispersive medium is shown to be mechanically and thermally stable.

The nonlinear electron dispersion affects the mass–radius relation of white dwarfs, whose mass can surpass the Chandrasekhar limit.

White dwarf progenitors of super-Chandrasekhar mass Type Ia supernovae: estimates of their central mass density, incompressibility and speed of sound.

Abstract

The effect of nonlinear ultra-relativistic electron dispersion on the mass–radius relation of high-mass white dwarfs is studied. The dispersion is described by a permeability tensor in the Dirac equation, generated by the ionized high-density stellar matter, which constitutes the neutralizing background of the nearly degenerate electron plasma. The electron dispersion results in a stable mass–radius relation for high-mass white dwarfs, in contrast to a mass limit in the case of vacuum permeabilities. In the ultra-relativistic regime, the dispersion relation is a power law whose amplitude and scaling exponent is inferred from mass and radius estimates of two high-mass white dwarfs, Sirius B and LHS 4033. Evidence for the existence of super-Chandrasekhar mass white dwarfs is provided by several Type Ia supernovae (e.g., SN 2013cv, SN 2003fg, SN 2007if and SN 2009dc), whose mass ejecta exceed the Chandrasekhar limit by up to a factor of two. The dispersive mass–radius relation is used to estimate the radii, central densities, Fermi temperatures, bulk and compression moduli and sound velocities of their white dwarf progenitors.

Keywords

Nearly degenerate ultra-relativistic electron plasma
Quantum densities with power-law dispersion and Weibull spectral decay
Dirac equation coupled to a permeability tensor
Mechanical and thermal stability of a dispersive Fermi gas at low temperature
Mass–radius relation of high-mass white dwarfs
Progenitors of super-Chandrasekhar mass thermonuclear supernovae

1. Introduction

The purpose of this paper is to study the effects of nonlinear electron dispersion in high-mass white dwarfs. We derive a stable mass–radius relation which remains valid above the Chandrasekhar mass limit of 1.44 solar masses due to nonlinear electron dispersion at ultra-relativistic energies. To this end, we determine the impact of dispersion on the thermodynamic variables of a nearly degenerate (high-density low-temperature) electron plasma. The quantized spectral density of the ultra-relativistic electrons is obtained by coupling the Dirac equation to the permeability tensor generated by the ionized stellar matter. The electronic dispersion relation defined by the permeabilities admits a power-law form in the ultra-relativistic regime, whose amplitude and scaling exponent can empirically be determined from mass and radius measurements of high-mass white dwarfs.

We calculate the entropy variable subject to electron dispersion and demonstrate thermodynamic stability, that is positive heat capacities and compressibilities. We derive the thermal equation of state of the electron plasma, which is polytropic in the totally degenerate ultra-relativistic regime, and then use the Lane–Emden equation for polytropes to derive the mass–radius relation for high-mass white dwarfs.

This mass–radius relation crucially depends on the amplitude and the scaling exponent of the electronic dispersion relation. In the case of vacuum permeabilities, the ultra-relativistic dispersion relation is linear, resulting in a mass limit instead of a mass–radius relation. In contrast, we treat the ionized stellar matter as a permeable medium pervaded by the electron gas, and infer the permeabilities from mass and radius estimates of high-mass white dwarfs. In this way, we can specify all parameters in the dispersive ultra-relativistic mass–radius relation.

The mass ejecta of several Type Ia (thermonuclear) supernovae (e.g., SN 2013cv [1], SN 2003fg [2], SN 2007if [3] and SN 2009dc [4]) substantially exceed the mass limit of 1.44 M and suggest super-Chandrasekhar mass progenitors. Using estimates of the ejecta mass and applying the dispersive mass–radius relation, we derive radius and density estimates of their white dwarf progenitors. The electron dispersion is treated as a genuine nonlinear effect rather than a small perturbation of the linear vacuum dispersion relation, given that the mass of the white dwarf progenitor of supernova SN 2009dc exceeds the Chandrasekhar mass limit of 1.44 M by almost a factor of two. The central density of the SN 2009dc progenitor reaches the neutron drip density, so that white dwarf masses much higher than 2.8 M are not attainable.

In the following, we give an outline of this paper. In Section 2, we study relativistic fermionic spectral densities in a dispersive medium. The dispersion relation is derived from the Dirac equation coupled to an isotropic energy-dependent permeability tensor in analogy to electromagnetic theory. This changes the linear ultra-relativistic vacuum relation Ep into a power law, ◂∼▸E(p)◂+▸m◂◽˙▸(pm)η(◂⋅▸ε0μ0), where ε0 and μ0 are permeability amplitudes, m denotes the electron mass and η is a positive scaling exponent. The spectral decay of the Fermi distribution ◂...▸d◂+▸ρ(p)p2d◂+▸p(◂◽˙▸eα+◂⋅▸βE(p)+1) (where α and β are fugacity and temperature parameters defining the chemical potential μ=αβ) is of Weibull type [5], the decay factor exp(◂⋅▸βE(p)) being a stretched (η<1) or compressed (η>1) exponential.

Weibull exponentials have been extensively applied in statistical modeling. A stretched (subexponential) Weibull factor appears as Kohlrausch function in anomalous diffusion and relaxation processes [6,7]; recent examples include diffusion in magnetic resonance imaging [8], relaxation of nanoparticles in liquids [9] and diminution processes in viscous media [10]. The tensile fracture probability of fiber bundles is modeled as subexponential Weibull density in Refs. [11,12]. Astrophysical applications of subexponential Weibull factors include asteroid fragmentation statistics  [13], population decay statistics of satellite ejecta [14], cosmic ray statistics [15–18], and velocity distributions of planetary surface winds  [19–21]. The population growth and epidemic models in Refs. [22,23] exemplify interdisciplinary applications of sub- and super-exponential (compressed) Weibull factors. Densities interpolating between Weibull exponentials and power laws have been used to model wealth distributions  [24] and stock market volatility [25,26] as well as interevent times in human dynamics [27]. Network applications of Weibull densities are discussed in Refs. [28–31].

The Weibull decay of the above stated Fermi distribution is sub- or super-exponential for dispersion exponents η<1 and η>1, respectively, which affects the fugacity expansions discussed in Section 3, where we study the nearly degenerate ultra-relativistic quantum regime, subject to nonlinear electron dispersion. Starting with the integral representations of the thermodynamic variables derived in Section 2, we perform a high-density low-temperature fugacity expansion, obtaining the two leading orders of the electronic number count, internal energy, pressure and entropy in (α,β,V) parametrization.

In Section 4, we discuss the effect of the nonlinear dispersion relation on the mechanical and thermal stability of the electron gas in the nearly degenerate regime. By switching to the (N,β,V) representation of the energy, pressure and entropy variables, we derive the thermal equation of state, the isochoric and isobaric heat capacities ◂◽.▸CV,P and the isobaric expansion coefficient, as well as the isothermal and adiabatic compressibilities ◂◽.▸κT,S. We demonstrate, by explicit calculation, that the equilibrium stability conditions ◂>⋯▸κT>κS>0 and ◂>⋯▸CP>CV>0 are satisfied for positive scaling exponents η in the dispersion relation. We also obtain fugacity expansions of the adiabatic bulk modulus, the compression modulus (adiabatic incompressibility) and the speed of sound in the ionized background medium.

In Section 5, we study the effect of electron dispersion on the mass–radius relation of high-mass white dwarfs. We employ the thermal equation of state in the totally degenerate ultra-relativistic regime, P◂◽˙▸(NV)1+η3, where η is the scaling exponent of the electronic dispersion relation E◂+▸m◂◽˙▸(pm)η(◂⋅▸ε0μ0). As the thermal equation has a polytropic form, the stellar structure equations can be reduced to the Lane–Emden equation, which admits stable solutions for scaling exponents η>1 and allows us to derive an explicit mass–radius relation for high-mass white dwarfs. This dispersive mass–radius relation depends on the scaling exponent η and the product ◂⋅▸ε0μ0 of the permeability amplitudes in the electronic dispersion relation. These are two additional (fitting) parameters as compared with the linear ultra-relativistic dispersion relation Ep in vacuum (◂⋅▸ε0μ0=η=1) which gives a mass limit instead of a mass–radius relation. The Lane–Emden equation does not define a mass limit for dispersion exponents η>1, which opens the possibility of super-Chandrasekhar mass white dwarfs discussed in Section 6.

In Section 6.1, we use the mass–radius data of two high-mass white dwarfs, Sirius B [32] and LHS 4033 [33], and the dispersive mass–radius relation derived in Section 5 to infer the scaling exponent η=1.240 and the amplitude ◂,▸◂⋅▸ε0μ0=4.85◂◽:▸μn1+η3 of the electronic dispersion relation. μn denotes the molecular weight per electron (nucleon–electron ratio, approximately μn2 for white dwarfs, unless neutronization by electron capture sets in, which increases μn, cf. Section 6.3). The scaling exponent η=1.240 is safely in the stability domain η>1 of the Lane–Emden equation. In Section 6.1, we also derive the radii and central mass densities of the white dwarf progenitors of the super-Chandrasekhar mass supernovae SN 2013cv, SN 2003fg, SN 2007if and SN 2009dc. Estimates of the central Fermi momentum and Fermi temperature of the progenitor stars are given in Section 6.2, and their bulk and compression moduli, sound velocity and gravitational surface potential are calculated in Section 6.3. In Section 7, we present our conclusions.

2. Fermionic spectral densities in a dispersive medium

2.1. Nonlinear ultra-relativistic dispersion relation

We start with the electronic Dirac equation coupled to a permeability tensor  [34–36], and consider plane wave solutions, ψ=exp(ipμxμ)u(p), ◂=▸pμ=(E,p). The spinor u(p) satisfies the Dirac equation in momentum space coupled to a dispersive isotropic permeability tensor ◂◽˙▸gμν(p),

(2.1)◂,▸◂⋅▸(i◂⋅▸γμ◂◽˙▸gμνpν+m)u(p)=0,◂=▸g00=ε(p),◂◽˙▸gik=◂/▸◂◽˙▸δikμ(p),
with vanishing flanks ◂◽˙▸g0i=0. The sign convention for the Minkowski metric is ◂...▸◂◽.▸ημν=diag(◂,▸1,1,1,1), the Dirac matrices satisfy ◂=▸◂⋅▸γμγν+◂⋅▸γνγμ=2◂◽.▸ημν, and m is the electron mass. By squaring the Dirac equation and using the plane-wave ansatz as stated above, we find the Klein–Gordon equation coupled to the squared permeability tensor ◂=▸◂◽˙▸hμν=◂◽˙▸gμα◂◽.▸ηαβ◂◽˙▸gβν:
(2.2)◂,▸◂⋅▸(◂⋅▸◂◽˙▸hμνpμpν+m2)u(p)=0,◂=▸h00=ε2,◂=▸◂◽˙▸hik=◂◽˙▸δikμ2,
and ◂◽˙▸h0i=0, which defines the electronic dispersion relation
(2.3)◂=▸E(p)=◂√▸p2+◂⋅▸μ2(p)m2◂⋅▸ε(p)μ(p).
(=c=1.) We will focus on the ultra-relativistic limit, pm1, and assume power-law asymptotics of the permeabilities, ◂∼▸εε0◂◽˙▸(pm)χ, ◂∼▸μμ0◂◽˙▸(pm)φ, with positive dimensionless amplitudes ◂,▸ε0,μ0 and real exponents χ and φ. For exponents φ<1, the ultra-relativistic limit of the dispersion relation (2.3) reads
(2.4)◂,▸◂=▸E=m◂⋅▸ε0μ0◂◽˙▸(pm)η,η=1χφ,
since the mass term ◂⋅▸μ2(p)m2 in (2.3) drops out in leading order. (The electron mass in (2.4) is just a convenient scale parameter.) The group velocity ηEp can approach zero (0<η<1) or become superluminal (η>1) in the ultra-relativistic limit; the electromagnetic counterpart is ‘slow’ or ‘fast’ light in highly dispersive media [37–39]. If η<0, the group velocity is negative, pointing in the opposite direction of the energy transfer [40]. We will use the shortcut E=◂+▸pηaη, with amplitude aη=◂⋅▸◂◽˙▸mη1ε0μ0, and also restrict the exponent η to be positive. In the case of vacuum permeabilities, χ=φ=0, η=1, ◂=⋯▸ε0=μ0=1, the dispersion relation (2.4) is linear. The permeabilities can be reparametrized by energy via (2.4), but we will use a momentum rather than energy parametrization of the spectral density, see (2.5).

In the non-relativistic regime, pm1, we assume constant positive permeabilities, εεnr, μμnr instead of power laws and find, by expanding (2.3), the dispersion relation ◂∼▸E◂+▸mεnr+p2(◂⋅▸2εnrμnr2m). This resembles the dispersion relation in electronic band theory, where ◂⋅▸εnrμnr2m is the effective mass and mεnr the band gap. In band theory, the effective mass is generated by adding a perturbative Bloch potential to the free electronic Lagrangian, whereas the permeability tensor in (2.1) and (2.2) affects the kinetic part of the Lagrangian [34,35]. In this paper, we will study the ultra-relativistic regime, pm1, admitting the dispersion relation (2.4).

2.2. Quantized thermodynamic variables

We will study an electron gas at low temperature and high density, defined by the spectral number density

(2.5)d◂=▸ρ(p)=◂⋅▸◂/▸4πs◂◽˙▸(2π)3◂...▸p2dp◂◽˙▸eα+◂⋅▸βE(p)+1,
where E(p) is the ultra-relativistic dispersion relation (2.4), s=2 is the electronic spin degeneracy, f=eα the fugacity, and β=◂+▸1(kBT) the temperature parameter. We will mostly put ◂=⋯▸=c=kB=1 and use the shortcut E=◂+▸pηaη for the dispersion relation (2.4), with power-law exponent η>0 and amplitude aη=◂⋅▸◂◽˙▸mη1ε0μ0, where ε0 and μ0 are positive permeability constants and m is the electron mass. We will also write ◂=▸◂⋅▸βE(p)=βˆpη, with the rescaled temperature parameter ◂=▸βˆ=βaη. The classical spectral density is recovered if the fugacity is small, ◂...▸dρ◂⋅▸4πs◂◽˙▸(2π)3◂◽˙▸eα◂⋅▸βE(p)p2dp. This is also the high-energy limit of (2.5). The Weibull exponential ◂f()▸exp◂()▸(βˆpη) generates a sub- or super-exponential spectral cutoff for 0<η<1 and η>1, respectively [41–44]. In the following, we will consider the opposite nearly degenerate quantum limit [45,46] of density (2.5), α1, and rename the fugacity parameter as λ=α.

Table 1. Mass, radius and density parameters of Sirius B and LHS 4033 and of the white dwarf progenitors of the super-Chandrasekhar mass supernovae SN 2013cv, SN 2003fg, SN 2007if and SN 2009dc. The mass and radius estimates of Sirius B and LHS 4033 are taken from Refs. [32,33] and the progenitor masses from Refs. [1–4]. The progenitor radii are obtained by applying the dispersive mass–radius relation (5.11) with permeability constants inferred from the high-mass white dwarfs Sirius B and LHS 4033, cf. Section 6.1. Also recorded are the average and central mass densities ρav and ρcent in solar units (◂,▸ρ=1.◂+▸410gcm3) and in units of the critical density ◂,▸ρcrit=9.◂+▸810×◂⋅▸105μngcm3 (see (5.5)) which defines the ultra-relativistic regime ◂≫▸ρρcrit1. μn denotes the molecular weight per electron (nucleon–electron ratio).

MMRR◂+▸ρavρ◂+▸ρcentρ◂⋅▸μnρavρcrit◂⋅▸μnρcentρcrit
Sirius B◂,▸0.94±0.05◂+▸(◂,▸8.4±2.5)×1031.◂+▸59×1063.◂+▸28×1072.2847.2
LHS 4033◂,▸1.33±0.02◂+▸(◂,▸3.6±0.2)×1032.◂+▸85×1075.◂+▸90×10841.0848
progen. SN 2013cv1.62.◂+▸29×1031.◂+▸33×1082.◂+▸75×1091913.◂+▸95×103
progen. SN 2003fg2.11.◂+▸18×1031.◂+▸28×1092.◂+▸64×10101.◂+▸84×1033.◂+▸80×104
progen. SN 2007if2.48.◂+▸52×1043.◂+▸88×1098.◂+▸03×10105.◂+▸58×1031.◂+▸15×105
progen. SN 2009dc2.85.◂+▸85×1041.◂+▸40×10102.◂+▸90×10112.◂+▸01×1044.◂+▸16×105

Table 2. Electronic number density, Fermi momentum/energy/temperature, gravitational surface potential and surface gravity of Sirius B, LHS 4033 and the super-Chandrasekhar mass progenitors of SN 2013cv, SN 2003fg, SN 2007if and SN 2009dc. The electron density ◂=▸n(ρ)=NV and Fermi momentum, energy and temperature ◂,▸pF(ρ),EF(ρ),TF(ρ) (see (6.3) and (6.4)) are calculated at the average and central mass densities ρav and ρcent listed in Table 1. These quantities scale with the nucleon–electron ratio, ◂+▸n1μn, pF◂◽:▸μn13, ◂+▸EFTFμn, since the fit parameter ◂,▸◂⋅▸◂◽:▸μn1+η3ε0μ0=4.85 is kept fixed, see Section 6.1, and they are listed here for μn=2. (The permeability amplitudes ε0 and μ0 and the scaling exponent η define the electronic dispersion relation (2.4).) The surface potential ◂+▸GM(c2R) and surface gravity ◂+▸GMR2, cf. after (6.9), are based on the mass and radius estimates in Table 1.

n(ρav)[cm3]n(ρcent)[cm3]pF(ρav)[MeV/c]pF(ρcent)[MeV/c]EF(ρav)[MeV]EF(ρcent) [MeV]TF(ρav)[◂...▸1010K]TF(ρcent)[◂...▸1010K]◂+▸GM(c2R)◂+▸GMR2[◂...▸cms2]
Sirius B6.◂+▸68×10291.◂+▸38×10310.5341.470.2971.030.3441.202.◂+▸38×104◂...▸3.65×108
LHS 40331.◂+▸20×10312.◂+▸49×10321.403.840.9833.421.143.977.◂+▸84×104◂...▸2.81×109
progen. SN 2013cv5.◂+▸60×10311.◂+▸16×10332.346.411.856.472.157.511.◂+▸48×103◂...▸8.37×109
progen. SN 2003fg5.◂+▸38×10321.◂+▸11×10344.9713.64.7216.55.4719.13.◂+▸78×103◂...▸4.14×1010
progen. SN 2007if1.◂+▸64×10333.◂+▸39×10347.1919.77.4626.18.6630.35.◂+▸98×103◂...▸9.07×1010
progen. SN 2009dc5.◂+▸90×10331.◂+▸22×103511.030.312.744.414.751.51.◂+▸02×102◂...▸2.24×1011

Table 3. Electron degeneracy pressure P, bulk modulus KS, compression modulus (volume incompressibility) P,n and speed of sound υs. These quantities depend on the mass density ρ, cf. (6.5), (6.7) and (6.8), and are listed for the average and central densities ρav and ρcent (see Table 1). The compression modulus linearly scales with the molecular weight per electron, ◂+▸P,nμn, and is recorded here for μn=2, see the remarks after (6.8) and the caption to Table 2. The pressure is proportional to the bulk modulus, ◂,▸P=0.7075KS, cf. (6.7), due to the polytropic equation of state; the conversion to cgs pressure units is ◂,▸◂=▸1MeV/cm3=1.602×◂⋅▸106dyn/cm2.

P(ρav)[dyn/cm2]P(ρcent)[dyn/cm2]KS(ρav)[◂...▸MeVcm3]KS(ρcent)[◂...▸MeVcm3]P,n(ρav)[MeV]P,n(ρcent)[MeV]◂+▸υs(ρav)c◂+▸υs(ρcent)c
Sirius B9.◂+▸28×10226.◂+▸72×10248.◂+▸19×10285.◂+▸93×10300.1230.4298.◂+▸08×1031.◂+▸51×102
LHS 40335.◂+▸51×10243.◂+▸99×10264.◂+▸86×10303.◂+▸52×10320.4051.421.◂+▸47×1022.◂+▸75×102
progen. SN 2013cv4.◂+▸85×10253.◂+▸50×10274.◂+▸28×10313.◂+▸09×10330.7642.672.◂+▸02×1023.◂+▸77×102
progen. SN 2003fg1.◂+▸19×10278.◂+▸60×10281.◂+▸05×10337.◂+▸59×10341.956.823.◂+▸22×1026.◂+▸03×102
progen. SN 2007if5.◂+▸72×10274.◂+▸14×10295.◂+▸05×10333.◂+▸65×10353.0910.84.◂+▸05×1027.◂+▸58×102
progen. SN 2009dc3.◂+▸50×10282.◂+▸54×10303.◂+▸09×10342.◂+▸24×10365.2418.35.◂+▸29×1029.◂+▸89×102

The electronic number count N, internal energy U and pressure P read

(2.6)◂,▸◂...▸N=V◂∫▸0dρ(p),◂...▸U=V◂∫▸0E(p)dρ(p),◂...▸◂=▸P=13◂∫▸0E(p)pdρ(p).
Since the partition function is related to the pressure by ◂=▸logZ=βPV in an equilibrium system, we use integration by parts to find
(2.7)◂=▸logZ=◂/▸4πsV◂◽˙▸(2π)3◂∫▸0◂⋅▸log(1+◂◽˙▸eα◂⋅▸βE(p))p2dp,
which can also be obtained by a fermionic trace calculation [16,17]. The entropy is assembled as ◂=▸S(α,β,V)=◂−▸βPVλN+βU, with the integral representations (2.6) of particle count, energy and pressure substituted and λ=α, cf. after (2.5).

3. Quantifying dispersion in the nearly degenerate quantum regime: fugacity expansion

The integral representations (2.6) of the quantized thermodynamic variables are of type

(3.1)◂=▸I[g]=◂∫▸0◂...▸g(p)dp◂◽˙▸eF(p)λ+1,
where ◂=⋯▸F(p)=◂⋅▸βE(p)=βˆpη, see after (2.5), and g(p) is a power-law function. (We have put λ=α and ◂=▸βˆ=βaη.) The integrals (4.1) can be evaluated by employing a Sommerfeld expansion valid for large λ1,
(3.2)◂...▸◂=▸I[g]=◂∫▸0F1(λ)g(p)dp+◂⋅▸π26gF(λ)+◂⋅▸◂/▸7π4360◂◽:▸gF(3)(λ)+O(◂◽:▸gF(5)(λ)),
(3.3)◂=▸gF(λ)=◂⋅▸◂f()▸g◂()▸(F1(λ))◂◽˙▸(F1)(λ),
where ◂=▸F1(λ)=◂◽˙▸λ1η◂◽˙▸βˆ1η. The power-law functions g(p) in (3.1) defining the particle count, internal energy and pressure can be read off from (2.6),
NV=◂⋅▸◂/▸4πs◂◽˙▸(2π)3I[◂=▸gN(p)=p2],
(3.4)◂,▸UV=◂⋅▸◂/▸4πs◂◽˙▸(2π)3I[◂=▸gU(p)=◂◽˙▸pη+2aη],◂=▸P=η3UV.
The entropy is thus ◂=▸S(α,β,V)=◂⋅▸(1+η3)βUλN.

It suffices to calculate integral I[g] in (3.1) with a power-law kernel ◂=▸g(p)=pκ, κ>0, so that ◂=▸gF(λ)=◂+▸◂◽˙▸λ(1+κη)η(η◂◽˙▸βˆ(1+κ)η) as defined in (3.3). It will also be convenient to introduce the parameter ◂=▸ξ=F1(λ) or inversely ◂=▸λ=βˆξη, and to express the derivatives gF(λ) and ◂◽:▸gF(3)(λ) arising in the Sommerfeld expansion (3.2) of I[◂=▸g(p)=pκ] in terms of ξ:

◂=▸gF(λ)=◂⋅▸(1+κη)◂◽˙▸ξ1+κ◂⋅▸η2◂()▸(βˆξη)2,
(3.5)◂=▸◂◽:▸gF(3)(λ)=◂⋅▸(1+κη)(◂−▸1+κ2η)(◂−▸1+κ3η)◂◽˙▸ξ1+κ◂⋅▸η4◂()▸(βˆξη)4.
The integral determining the leading order in expansion (3.2) gives ◂+▸◂◽˙▸ξκ+1(κ+1). The fugacity expansions of the number count and internal energy in (3.4) are found by specifying κ=2 and κ=2+η, respectively,
(3.6)NV=◂⋅▸◂/▸4πs◂◽˙▸(2π)3ξ33[◂+▸1+◂⋅▸π26◂⋅▸3(3η)◂⋅▸η2◂()▸(βˆξη)2+◂/▸7π4360◂⋅▸3(3η)(32η)(33η)◂⋅▸η4◂()▸(βˆξη)4+],
(3.7)UV=◂⋅▸◂/▸4πs◂◽˙▸(2π)31aη◂◽˙▸ξ3+η3+η[◂+▸1+◂⋅▸π26◂⋅▸(3+η)3◂⋅▸η2◂()▸(βˆξη)2+◂/▸7π4360◂⋅▸(3+η)3(3η)(32η)◂⋅▸η4◂()▸(βˆξη)4+],
The expansions of the pressure and partition function are obtained via the internal energy expansion (3.7), since P=◂+▸ηU(3V) and ◂=▸logZ=βUη3, cf. (3.4). The entropy is assembled by substituting the series (3.6) and (3.7) into ◂=▸S(α,β,V)=◂⋅▸(1+η3)βˆaηU◂⋅▸βˆξηN, see after (3.4). In this case, the leading orders in (3.6) and (3.7) cancel each other,
(3.8)SV=◂⋅▸◂/▸4πs◂◽˙▸(2π)3◂/▸ξ33η◂/▸π2βˆξη[◂+▸1+◂/▸7π230◂⋅▸(3η)(32η)◂⋅▸η2◂()▸(βˆξη)2+].
The indicated second-order term is defined by the third-order terms in (3.6) and (3.7); apart from that, we will only need the second order in (3.6) and (3.7). We note that ◂=⋯▸βˆξη=λ=α is the fugacity parameter, cf. after (3.4), and η>0 is the exponent of the electronic dispersion relation (2.4). ◂=▸βˆ=βaη is the temperature parameter rescaled with the amplitude of the dispersion relation, see after (2.5). The expansions (3.6)(3.8) give the thermodynamic variables in (α,β,V) representation; they are based on the ultra-relativistic dispersion relation ◂=▸E(p)=◂+▸pηaη in (2.4) and apply in the low-temperature high-density regime, ◂≫▸βˆξη1. In Section 4, we will identify ξ as density parameter, cf. (4.2).

4. Effect of electron dispersion on thermodynamic variables at low temperature and high density

4.1. Internal energy, entropy and isochoric heat capacity

We start by inverting the fugacity expansion (3.6) of the number density, solving for ξ. Using the shortcut

(4.1)◂=▸Nˆ=NV◂/▸3◂◽˙▸(2π)34πs,
we find
(4.2)◂=▸ξ(β,N,V)=◂⋅▸◂◽˙▸Nˆ13(1◂⋅▸π26◂/▸(3η)η2◂◽˙▸(βˆ◂◽˙▸Nˆη3)2+).
The leading order thereof is the Fermi momentum, pF=◂◽˙▸Nˆ13, and the ultra-relativistic Fermi energy/temperature is ◂=⋯▸EF=◂⋅▸kBTF=◂+▸pFηaη with aη=◂⋅▸◂◽˙▸mη1ε0μ0 according to the dispersion relation (2.4). Substituting ξ(β,N,V) into the series expansions (3.7) and (3.8), we obtain the (T,N,V) parametrization of the internal energy, that is the caloric equation of state of the electron gas,
(4.3)UV=◂⋅▸◂/▸4πs◂◽˙▸(2π)3aη◂◽˙▸Nˆη3+1η+3◂()▸(1+◂⋅▸π26◂/▸η+3η◂◽˙▸(βˆ◂◽˙▸Nˆη3)2+),
and the entropy S(T,N,V),
(4.4)SV=◂⋅▸◂/▸4πs◂◽˙▸(2π)313η◂/▸π2βˆ◂◽˙▸Nˆ(3η)3◂()▸(1+◂⋅▸π210◂/▸◂⋅▸(23η)(3η)η2◂◽˙▸(βˆ◂◽˙▸Nˆη3)2+).
The leading order thereof can be written as SN◂+▸π2(◂⋅▸ηβEF), with Fermi energy ◂=▸EF=◂◽˙▸Nˆη3aη. The expansion is in powers of 1◂◽˙▸(βˆ◂◽˙▸Nˆη3)2, where ◂=⋯▸βˆ◂◽˙▸Nˆη3=βEF=TFT. The leading order of the internal energy (4.3) is independent of temperature and defines the equipartition ratio UN◂+▸3EF(3+η), cf. (4.1). The isochoric heat capacity ◂=▸CV=TS,T reads like S in (4.4), with the second-order term multiplied by a factor of 3.

4.2. Mechanical and thermal stability: thermal equation of state, isobaric heat capacity, isobaric expansion coefficient, isothermal and adiabatic compressibility

The thermal equation of state P(T,N,V) is obtained by substituting the Sommerfeld expansion (4.3) of the internal energy into the ultra-relativistic identity P=◂+▸ηU(3V), cf. (3.4),

(4.5)◂=▸Pˆ=◂◽˙▸Nˆη3+1◂()▸(1+◂⋅▸π26◂/▸η+3η◂◽˙▸(βˆ◂◽˙▸Nˆη3)2+),
where we have introduced the rescaled pressure variable
(4.6)Pˆ=◂⋅▸◂⋅▸3(η+3)aηη◂/▸◂◽˙▸(2π)34πsP.
To obtain the volume in V(T,P,N) parametrization, we solve (4.5) for V (which appears in the rescaled number density Nˆ, cf. (4.1)),
(4.7)V=◂⋅▸◂/▸3◂◽˙▸(2π)34πsN◂◽˙▸Pˆ3(η+3)◂()▸(1+◂⋅▸π221η◂◽˙▸(◂◽˙▸Pˆη(η+3)βˆ)2+).
We substitute this into S(T,V,N) in (4.4) to find the S(T,P,N) representation of entropy,
(4.8)S=◂⋅▸◂◽˙▸Pˆη(η+3)1η◂/▸π2βˆN◂()▸(1+◂⋅▸π230◂/▸◂⋅▸(2η3)(7η6)η2◂◽˙▸(βˆ◂◽˙▸Pˆη(η+3))2+).

The isobaric heat capacity ◂=▸CP(T,P,N)=TS,T reads like S in (4.8), with the second-order term multiplied by a factor of 3. By substituting the thermal Eq. (4.5) into CP(T,P,N), we find the (T,V,N) parametrization of the isobaric heat capacity,

(4.9)CP=◂⋅▸V◂◽˙▸Nˆ1η3◂/▸4πs◂◽˙▸(2π)313η◂/▸π2βˆ(1+◂⋅▸π230◂/▸◂+▸5499η+37η2η2◂◽˙▸(βˆ◂◽˙▸Nˆη3)2+).
By comparing this with the isochoric heat capacity, see after (4.4), we find
(4.10)◂∼▸CP(T,V,N)CV+◂⋅▸Vπ49◂/▸4πs◂◽˙▸(2π)3◂/▸1η◂◽˙▸Nˆη1◂◽˙▸βˆ3.
The isothermal compressibility κT=◂+▸V,PV and isobaric expansion coefficient ◂=▸αexp=V,TV are calculated from the series V(T,P,N) in (4.7),
(4.11)◂,▸κT=◂⋅▸3η+31P◂()▸(1+◂⋅▸π231◂◽˙▸(◂◽˙▸Pˆη(η+3)βˆ)2+),αexp◂/▸π2◂◽˙▸a2ηη◂◽˙▸Pˆ2η(η+3)β.
Using the leading order of the thermal equation in (4.5) and (4.6), we find
(4.12)◂/▸αexp2βκT◂⋅▸π49◂/▸4πs◂◽˙▸(2π)3◂/▸1η◂◽˙▸Nˆη1◂◽˙▸βˆ3,
so that the equilibrium relation CP=◂+▸CV+◂⋅▸VTαexp2κT is satisfied, cf. (4.10).

To obtain the adiabatic compressibility, κS=◂+▸V,PV, we need the V(S,P,N) representation of the volume factor. To this end, we solve S(T,P,N) in (4.8) for βˆ in leading order, βˆ◂+▸π2N(η◂◽˙▸Pˆη(3+η)S), and substitute this into V(T,P,N) in (4.7),

(4.13)