Abstract
The isothermal gas sphere model may be beneficial for understanding certain features of astrophysical objects like stars, but it has severe limits when used for compact stars. This study expands the Tolman–Oppenheimer–Volkoff (TOV) equation of the fractional relativistic gas sphere to contain fractional derivatives, resulting in a more general fractional TOV equation (FTOVI). The analytical solution of the FTOVI equation is tackled using an accelerated series expansion. We computed models for various relativistic (σ) and fractional (α) parameters. Models with α = 1 are retained to the relativistic integer models calculated by the integer version of the TOV equation. We examine the effects of the relativistic and fractional parameters on the Emden function, mass function, and the first derivative of the Emden function and the impact of these quantities on the pressure, density, and mass-radius relation. Investigating the central density-mass relation as an analog to neutron stars indicates that a maximum mass of the sphere exists, which further increases central density, resulting in instability and collapse. The observed mass and radius of three neutron stars and those predicted from the FTOVI models agreed well. The results of high-density fractional models demonstrate that fractional derivatives might drastically modify the expected mass and radius of neutron stars compared to integer models, indicating a possible need to reinterpret observational data of neutron stars via the lens of fractional calculus.
1 Introduction
Isothermal gas spheres play a vital role in understanding the dynamics and structure of self-gravitating systems, such as stars, galaxies, and clusters. However, the classical isothermal sphere model has limitations because it overlooks relativistic effects in strong gravitational fields, particularly around massive compact objects like black holes and neutron stars. The relativistic isothermal gas sphere (RISG) model overcomes these shortcomings by incorporating the effects of general relativity into the classical framework.
In the framework of general relativity, Chandrasekhar [1] developed the RISG, which integrates the effects of relativistic gravity and pressure, resulting in a more realistic model for high-energy astrophysical systems. This relativistic approach significantly alters pressure and density distributions, a topic `further explored in subsequent studies [2,3]. The importance of these relativistic modifications becomes particularly pronounced when analyzing compact stars, such as neutron stars, and certain phases of stellar collapse, where gravitational fields and internal gas pressures approach relativistic levels [4,5]. Chau et al. [6] built upon the research of Edwards and Merilan [7,8] to investigate the static structure of general relativistic, partially degenerate isothermal configurations with arbitrary temperatures. Sharma [9] examined the analytic structure of high-density isothermal gas spheres within the context of general relativity. Chavanis’ studies [10,11,12] revealed that the RISG, similar to neutron cores, exhibits behaviors akin to Newtonian isothermal spheres.
Over the past three decades, fractional differential equations have gained traction across various scientific and technical fields, including mathematics, chemistry, optics, plasma, and fluid dynamics. There has been growing interest in applying fractional calculus within astronomy [13], for example, Jamil et al. [14] introduced a dark energy model featuring relevant cosmological parameters by employing a power-law weight function within the framework of fractional action cosmology. El-Nabulsi [15] presented a novel theory of substantial gravity, highlighting the distinction between zero and fractional graviton masses in extremely low cosmic fluid density. Addressing dynamical functional equations involving fractional derivatives or based on Einstein-Hilbert behavior [16,17] consistently yielded effective solutions. Furthermore, El-Nabulsi [18] derived nonlocal fractional Einstein’s field equations by generalizing the standard Einstein field equations through fractional derivatives. He also explored the family of Emden-Fowler differential equations, presenting a generalized derivative operator [19]. In addition, El-Nabulsi [20] examined the rapid expansion of a non-singular universe, both with and without scalar fields, utilizing an Ornstein-Uhlenbeck-like fractional differential equation, a generalized fractional scale factor, and a time-dependent Hubble parameter.
Mirza [21] investigated the fractional isothermal gas sphere by solving it through iteration using a two-term series expansion, continuing until the Emden function at the sphere’s center reached appropriate values. Nouh [22] discussed the potential applications of fractional models in stellar computations, particularly in solving the system of fractional differential equations that model the helium-burning phase in stars. Yousif et al. [23] developed general analytical formulations for the fractional isothermal gas sphere within Newtonian hydrostatic equilibrium. El-Nabulsi [24] explored the fractional Lane-Emden equations of white dwarf stars, while Bayin and Krisch [25] focused on the incompressible gas sphere. Nouh and Abdel-Salam [26,27] examined the fractional isothermal gas sphere and the polytropic gas sphere using modified Riemann-Liouville fractional derivatives and Abdel-Salam and Nouh [28] analyzed conformable polytropic gas spheres. A conformable Adomian decomposition technique was applied by Abdel-Salam et al. [29] to derive a divergent series solution for Lane–Emden type equations. Aboueisha et al. [30] investigated the fractional relativistic polytropic gas sphere and assessed the influence of the fractional parameter on the mass-radius relationship of white dwarfs.
In this work, we incorporate fractional calculus into the RISG model to explore the effects of long-range interactions and nonlocal gravitational behavior. By introducing fractional derivatives into the equations governing the system’s equilibrium, we aim to investigate how the fractional order impacts the structural characteristics of the gas sphere, including density profiles, gravitational potentials, and stability criteria. Under the physical conditions of the neutron stars, we compare the mass-radius relation of the fractional RISG (FRISG) with the observed masses and radii of three neutron stars.
This study is organized as follows: Section 2 introduces the concept of fractional derivatives. Section 3 proposes the FRISG models. Section 4 outlines the series expansion method employed to solve the modified equations and discusses the results obtained. Section 5 analyzes the numerical results. Section 6 gives an application to the neutron star structure. The conclusion of the study is presented in Section 7.
2 Conformable fractional calculus (CFD)
CFD is an extension of traditional calculus that allows for the differentiation and integration of functions with fractional orders while preserving certain classical properties. Unlike classical fractional calculus, which often relies on complex definitions and can introduce complications in analysis, conformable fractional derivatives are defined in a way that aligns more closely with classical derivatives. This makes them more intuitive and easier to apply in various contexts. Applications of CFD span multiple fields, including physics, engineering, and finance, where it is used to model phenomena with memory effects or long-range interactions. For instance, in physics, it can describe nonlinear diffusion processes, while in engineering, it aids in analyzing systems exhibiting viscoelastic behavior.
Khalil et al. [31] introduced CFD by applying limits in the form
Here
where
3 Conformable FRISG
In the context of the fractional derivative, line elements describing the interior space-time of a static spherically symmetric star in standard coordinates
where
Thus, the relation between the fractional metric tensor
By comparing Eqs. (7) and (8),
Therefore, the nonzero elements of the fractional metric are
The fractional curvature tensor is defined in terms of fractional Christoffel symbols as follows:
since the comma subscript notation represents the coordinates fractional derivative, as, i.e.,
The fractional curvature at a point in space is fully represented by this fractional tensor, defined as
Note that
then we can calculate some of the fractional Christoffel symbols,
The contracted fractional Riemann tensor, which is referred to as the fractional Ricci tensor, was obtained from the fractional Riemann tensor by contracting over two of the indices
This fractional tensor is symmetric, so the Ricci scalar is then given by
In this fractional space-time, the fractional Einstein tensor
where G is the gravitational acceleration,
The fractional Christoffel symbols for spherically symmetric sources with coordinates
Note that
The fractional scalar curvature in Eq. (15) is gained as a contraction of the fractional Ricci tensor with the fractional metric
The fractional Einstein’s curvature tensor in Eq. (16) can now be obtained from the fractional Ricci tensor and the fractional scalar curvature
The fractional energy-momentum tensor is derived using a given stellar object’s pressure and mass density. We will take the substance to be described by a perfect fluid at rest in the situation of a static, spherically symmetric fractional metric, such that
since
By the law of local fractional energy-momentum conservation
The comfortable fractional hydrostatic equilibrium equation describes the balance between the fractional gravitational force and the fractional pressure gradient. First, we shall discuss the (t)(t) component that is
this can be transferred into the form
Performing the conformable fractional integration to Eq. (27), we have
The (r)(r) component (Eq. (21)) of the field equations reads
then we obtain
which enables us to put the fractional equation of hydrostatic equilibrium into the fractional Tolman–Oppenheimer–Volko (TOV) form as
in another form
where
The relation between the energy density and pressure of the fluid given by the isothermal polytropic equation of state is
where
then
with
We obtain from Eq. (21) that
or
Substituting Eqs. (33) and (34) in Eq. (40), we obtain
where
and the mass function is given by
Then, the fractional TOV Eqs (FTOVI) have the form
and
with the initial conditions
4 Series solution of FTOVI
4.1 Successive fractional derivative of the Emden function
To solve the FTOVI equations, Eqs. (45) and (46), we consider a series expansion as
We can rewrite Eq. (48) in the fractional form as
At
then
Applying the fractional derivative to Eq. (50) gives
Applying the second initial condition
at
then
where
4.2 Fractional derivative of the Emden function raised to powers
Now, we suppose that
this gives
since
Differentiating both sides of Eq. (54) k times α-derivatives, we have
or
At
since
we have
this gives
let
then
where
4.3 Fractional derivative of series expansion of the relativistic function
From Eq. (51), we obtain
then
where
where
by using Eqs. (60) and (61), we obtain
where
then
where
By using Eq. (54), we obtain
4.4 Recurrence relations
Substituting Eqs. (61–64) in Eq. (46), we obtain
We can rewrite this equation in the like power of
Now, we obtain
where
By applying the initial condition in Eq. (67) when
where
If we put
where
It has been observed that the series solution of the Emden function remains valid for small values of
5 Analysis of the numerical results
The complete configuration of the FRISG occurs at

The Emden function of the FRISG with σ = 0.1, α = 0.95. The red line represents the function before series acceleration, while the blue line represents the function after series acceleration.
The inputs to the Mathematica code are the fractional parameters
Tables 1–3 present the Emden function (θ), the mass function ʋ, and the first derivative of the Emden function
Emden function θ (ξ
1), the mass function ʋ (ξ
1), and the first derivative of the Emden function
σ | α = 1 | α = 0.99 | ||||
---|---|---|---|---|---|---|
θ (ξ 1) | ʋ (ξ 1) |
|
θ (ξ 1) | ʋ (ξ 1) |
|
|
0 | 5.217 | 74.437 | 0.0630 | 5.217 | 74.437 | 0.0630 |
0.05 | 5.075 | 64.002 | 0.0546 | 5.075 | 64.002 | 0.0546 |
0.1 | 5.086 | 57.902 | 0.0418 | 5.086 | 57.902 | 0.0418 |
0.15 | 5.182 | 54.948 | 0.0753 | 5.182 | 54.948 | 0.0753 |
0.2 | 5.333 | 52.577 | 0.0812 | 5.333 | 52.577 | 0.0812 |
0.25 | 5.521 | 50.072 | 0.0866 | 5.521 | 50.072 | 0.0866 |
0.3 | 5.729 | 47.657 | 0.0913 | 5.729 | 47.657 | 0.0913 |
0.35 | 5.944 | 45.503 | 0.0954 | 5.944 | 45.503 | 0.0954 |
0.4 | 6.158 | 43.658 | 0.0991 | 6.158 | 43.658 | 0.0991 |
0.45 | 6.364 | 42.103 | 0.1024 | 6.364 | 42.103 | 0.1024 |
0.5 | 6.558 | 40.794 | 0.1053 | 6.558 | 40.794 | 0.1053 |
Emden function θ (ξ
1), the mass function ʋ (ξ
1), and the first derivative of the Emden function
σ | α = 0.98 | α = 0.97 | ||||
---|---|---|---|---|---|---|
θ (ξ 1) | ʋ (ξ 1) |
|
θ (ξ 1) | ʋ (ξ 1) |
|
|
0 | 5.205 | 71.235 | 0.0647 | 5.193 | 68.168 | 0.0666 |
0.05 | 5.066 | 61.377 | 0.0565 | 5.057 | 58.850 | 0.0585 |
0.1 | 5.077 | 55.502 | 0.0706 | 5.069 | 53.196 | 0.0465 |
0.15 | 5.172 | 52.546 | 0.0767 | 5.161 | 50.247 | 0.0781 |
0.2 | 5.321 | 50.211 | 0.0826 | 5.308 | 47.949 | 0.0840 |
0.25 | 5.506 | 47.779 | 0.0879 | 5.491 | 45.591 | 0.0893 |
0.3 | 5.712 | 45.438 | 0.0927 | 5.695 | 43.323 | 0.0941 |
0.35 | 5.926 | 43.343 | 0.0968 | 5.907 | 41.287 | 0.0983 |
0.4 | 6.139 | 41.539 | 0.1005 | 6.119 | 39.528 | 0.1020 |
0.45 | 6.344 | 40.012 | 0.1038 | 6.324 | 38.030 | 0.1053 |
0.5 | 6.538 | 38.719 | 0.1068 | 6.517 | 36.745 | 0.1084 |
Emden function θ (ξ
1), the mass function ʋ (ξ
1), and the first derivative of the Emden function
σ | α = 0.96 | α = 0.95 | ||||
---|---|---|---|---|---|---|
θ (ξ 1) | ʋ (ξ 1) |
|
θ (ξ 1) | ʋ (ξ 1) |
|
|
0 | 5.179 | 65.229 | 0.0684 | 5.166 | 62.414 | 0.0704 |
0.05 | 5.048 | 56.417 | 0.0606 | 5.038 | 54.077 | 0.0627 |
0.1 | 5.059 | 50.980 | 0.0737 | 5.050 | 48.850 | 0.0740 |
0.15 | 5.150 | 48.046 | 0.0796 | 5.139 | 45.939 | 0.0784 |
0.2 | 5.295 | 45.788 | 0.0854 | 5.282 | 43.722 | 0.0831 |
0.25 | 5.476 | 43.501 | 0.0907 | 5.460 | 41.506 | 0.0880 |
0.3 | 5.677 | 41.307 | 0.0955 | 5.659 | 39.384 | 0.0927 |
0.35 | 5.887 | 39.332 | 0.0997 | 5.868 | 37.470 | 0.0972 |
0.4 | 6.098 | 37.617 | 0.1035 | 6.077 | 35.801 | 0.1014 |
0.45 | 6.302 | 36.151 | 0.1069 | 6.281 | 34.369 | 0.1052 |
0.5 | 6.496 | 34.899 | 0.1099 | 6.474 | 33.141 | 0.1088 |
Figures 2–4 represent the solution curves of the FTOVI equation in

The Emden function

The first fractional derivative of the Emden function

The mass function
Figure 2 displays the Emden function’s fractional first derivative
The mass function is displayed in Figure 3. The curves get steeper and attain a larger maximum value at a smaller radius as the relativistic parameter σ increases; this suggests that when the relativistic effects intensify, the sphere’s mass concentrates closer to the center. Although the deviation is small for the model with α = 0.99 from the integer case, the fractional derivative adds more characteristics, such as a slower decay at large radii and a smoother behavior close to the origin; this deviation becomes larger for the model with α = 0.95. Also, the graph indicates that the relativistic parameter σ considerably impacts the mass function, as σ increases, the curves get steeper and attain a smaller maximum value at a smaller radius, suggesting that the star’s mass is more compacted and concentrated on the core.
Now, we shall investigate the effects of varying the fractional parameter (α) on the FRISG. Figure 5 shows the Emden function, the first fractional derivative of the Emden function, and the mass function. The calculations used fractional parameters α = 0.95–1 and relativistic parameters σ = 0.1 and 0.3.

The effect of the fractional parameter on the Emden function (upper panel), the first derivative of the Emden function (middle panel), and the mass function (lower panel). The relativistic parameters are σ = 0.1 and σ = 0.3.
The Emden function is shown with different colors calculated at different fractional parameter α values in the top panel of Figure 5. The curves for α < 1 and α = 1 depict the fractional and integer Emden functions, respectively. As α decreases, the curves flatten and reach a smaller maximum value at larger radii. This behavior shows that the gas sphere’s density expands as the fractional parameter declines, reducing its central concentration. The moderate relativistic parameter σ = 0.1 shows that the relativistic effects are of small size (consequently, the curves illustrated in the graph display a similar qualitative resemblance to those generated in the non-relativistic case [23]), while the size of the effect increases and is clearer at σ = 0.3.
Nevertheless, the fractional derivative has supplemental properties, including a more gradual drop at large radii and smoother behavior at the origin. The graphs demonstrate that the fractional parameter α significantly affects the Emden function. As α drops, the curves become flatter and have a smaller maximum value at a larger radius; this shows how the density of the gas sphere decreases as it gets closer to the center.
The fractional derivative of the Emden function
The bottom part of Figure 5 shows the mass function
The mass function at the surface of the gas sphere (i.e., the mass of the gas sphere), ʋ(ξ 1), as a function of the relativistic parameter (σ), and the fractional parameter (α), is shown in Figure 6. For all values of α, ʋ (ξ 1) continuously decreases as σ rises. The extent of ʋ(ξ 1) reduction as σ increases seems to be influenced by the parameter α. The lines representing different values of α illustrate that for increasing values of σ, decreasing α leads to a more pronounced decrease in ʋ (ξ 1). This suggests that the variable α has the potential to alter the dynamics of the gas sphere or the thermodynamic equations, influencing the variations in physical properties such as compressibility under relativistic conditions. As the value of σ increases, the mass function ʋ (ξ 1) decreases for all α values. This indicates that relativistic effects decrease the sphere’s mass or modify its structure in a way that affects the projected mass function. The gas sphere is more sensitive to increases in σ when α is lower, suggesting a structural or physical change in the gas sphere. α controls how the mass function reacts to changes in σ.

The effect of the relativistic and fractional parameters on the mass function (ʋ(ξ 1)) of the FRISG. The range of σ = 0–0.5 with Δσ = 0.05 and the range of α = 0.95–1 with step Δα = 0.01.
6 Application for neutron stars
According to some studies, the relativistic isothermal gas sphere is a plausible approximation for middle-aged and ancient neutron stars (>105 years). For example, Page [36] indicates that neutron star interiors become almost isothermal during thermal relaxation (∼104 years), which makes cooling models easier to understand. Tsuruta [37] emphasizes that isothermal models are useful for long-term cooling research since the hydrostatic equilibrium and thermal evolution equations may be separated during this period. Gnedin et al. [38] validated isothermal models for older neutron stars by confirming that the whole core retains a relatively uniform temperature until the core and crust thermally equilibrate. According to Tolman’s isothermal condition in general relativity, which these models assume, the redshifted temperature stays constant. The isothermal approximation is still a useful tool for researching late-stage neutron star cooling, even though genuine neutron stars may have residual temperature changes because of magnetic fields, superfluidity, and equation of state (EOS) effects.
Under the RISG conditions, a maximum mass exists at which further increases in central density result in instability and collapse [10,39,40]. This observation arises from the interaction of relativistic pressure, density, and gravity. It is vital to highlight that comparing neutron stars with isothermal spheres results in general relativity. Analyzing gravity within the Newtonian framework reveals that the fundamental prerequisite for reaching hydrostatic equilibrium is a connection between the mass density and the pressure, which, for dense matter (degenerate and relativistic), is a power law with adiabatic index γ = 4/3 [39]. But when gravity is considered within the context of general relativity, the TOV equations demand a connection between the mass-energy density and the pressure, which for dense matter is linear. Hence, when exposed to general relativity, the core of neutron stars shows isothermal behavior. Conversely, the core of white dwarf stars, when approached by the limiting mass, is classified as polytropic while being solved using the same EOS as a completely degenerate and ultra-relativistic ideal Fermi gas [10].
The star’s mass rises in correlation with the core density until a certain threshold, beyond which relativistic influences play a significant role, leading to the star approaching its maximum mass. This behavior is comparable to that seen in models of white dwarfs, neutron stars, and other compact objects. To investigate the fractional parameter on the central density-mass relation, we follow the approach of Yabushita [40]; the central density may be expressed by
Figure 7 shows the central density-mass relation for the fractional parameters α = 1 and 0.95; the relativistic parameters range from 0.05 to 0.3. While taking into account the relativistic parameter (σ), we may investigate the impact of the fractional parameter (α). We may examine the effects of small deviations from the standard model (α = 1) on the system’s characteristics by examining how the difference in α from 1 to 0.95 affects the density distribution. For the same σ values throughout the graph, the dashed lines (α = 0.95) usually lie below the solid lines (α = 1). This implies that for a given central density, a decrease in α results in a lower central density. This indicates that a decrease in α results in a less dense central region of the system, which may indicate a decrease in the effective interaction or mass-energy concentration in the sphere’s core. Values similar to α and σ in neutron star models might represent the relativistic compactness of the star and the equation of state of the matter in the star, respectively.

The central density-mass relation for the fractional RISG for α = 1 (solid lines) and α = 0.95 (dashed lines); σ = 0.05–0.3.
Similarly, a lower α (corresponding to a lower core density) might mean that the neutron star has a softer equation of state, making it less resistant to compression under gravity. The impact of the variations in σ on the core density is analogous to the effects of relativistic processes in neutron stars, where greater densities are often attained by increased compactness or gravitational influence up to a certain point (the maximum mass) and then decrease [39,40].
We calculated 18 models with
Mass and radius for fractional RISG. The computations are performed for σ = 0.1, α = 0.95 and 1
|
α = 1 | α = 0.95 | ||
---|---|---|---|---|
R (m) | M (Mʘ) | R (m) | M (Mʘ) | |
2 × 1018 | 1.755084 × 104 | 2.16151 | 1.710644 × 104 | 1.72555 |
3 × 1018 | 1.433020 × 104 | 1.76486 | 1.396735 × 104 | 1.40891 |
4 × 1018 | 1.241031 × 104 | 1.52841 | 1.209608 × 104 | 1.22015 |
5 × 1018 | 1.110012 × 104 | 1.36706 | 1.081906 × 104 | 1.09133 |
6 × 1018 | 1.013298 × 104 | 1.24794 | 9.876409 × 103 | 0.99625 |
7 × 1018 | 9.381318 × 103 | 1.15537 | 9.143778 × 103 | 0.92234 |
8 × 1018 | 8.775420 × 103 | 1.08075 | 8.541937 × 103 | 0.86156 |
9 × 1018 | 8.273545 × 103 | 1.01894 | 8.064054 × 103 | 0.81343 |
1 × 1019 | 7.848974 × 103 | 0.96665 | 7.650233 × 103 | 0.77169 |
2 × 1019 | 5.550063 × 103 | 0.68353 | 5.409532 × 103 | 0.54566 |
3 × 1019 | 4.531607 × 103 | 0.55810 | 4.416864 × 103 | 0.44553 |
4 × 1019 | 3.924487 × 103 | 0.48332 | 3.825116 × 103 | 0.38584 |
5 × 1019 | 3.510168 × 103 | 0.43230 | 3.421288 × 103 | 0.34511 |
6 × 1019 | 3.204330 × 103 | 0.39463 | 3.123194 × 103 | 0.31504 |
7 × 1019 | 2.966633 × 103 | 0.36536 | 2.891516 × 103 | 0.29167 |
8 × 1019 | 2.775031 × 103 | 0.34176 | 2.704766 × 103 | 0.27283 |
9 × 1019 | 2.616324 × 103 | 0.32221 | 2.550077 × 103 | 0.25723 |
1 × 1020 | 2.482063 × 103 | 0.30568 | 2.419216 × 103 | 0.24403 |
Neutron stars are dense, compact stellar remnants with average radii of 1.0 × 104–1.5 × 104 m and masses between 1.4 and 2.5 Mʘ. The ranges of radii and masses in the table contain common values for neutron stars, especially at greater core densities. For α = 1, the radius and mass column values align well with those anticipated for neutron stars, particularly at higher densities where the models predict radii and masses within the known range of neutron stars. For α = 0.95, although the radii and masses are often on the lower end, they are realistic for neutron stars, especially for less massive or more compact instances. The models, with their concentration on the fractional isothermal gas sphere utilizing the parameters
Now, write the mass of the isothermal gas sphere as
where
From the last two equations, we can calculate the central density from
By calculating
Predicted FRISG physical parameters of three neutron stars
Object | M (Mʘ) | R (m) |
|
σ | α | ρ c (kg m−3) | P c (N m−2) |
---|---|---|---|---|---|---|---|
PSR J1614-2230 | 2.08 | 1.396 × 104 | 4.256 × 1017 | 0.2 | 0.95 | 3.0 × 1018 | 5.4 × 1034 |
J0437-4715 | 1.40 | 1.396 × 104 | 2.717 × 1017 | 0.1 | 0.95 | 3.0 × 1018 | 2.7 × 1034 |
SAXJ1808.4–3658 | 0.77 | 7.65 × 103 | 8.498 × 1017 | 0.1 | 0.95 | 1.0 × 1019 | 9.0 × 1034 |
Given its unlimited radius, the relativistic isothermal gas sphere does provide a conceptual problem. However, when using the FRISG model to model neutron stars, several physical factors enable us to operate with limited, reasonable values of the dimensionless radius ξ 1 by adding pragmatic restrictions in neutron stars.
Figure 8 locates the observed mass and radius of neutron stars on the mass-radius relationship of the fractional RISG along with the mass and radius of the three neutron stars: PSR J1614-2230 with mass M = 1.97 ± 0.04 Mʘ and radius R = 1.3 × 104 ± 2,000 m [41,42]. J0437-4715 with mass M = 1.44 ± 0.07 Mʘ and radius R = 1.36 × 104 ± 900 m [43,44]. SAXJ1808.4–3658 with M = 0.9 ± 0.3 Mʘ and radius R = 7.951 × 103 ± 1,000 m [44,45]. The physical parameters of the theoretical models are listed in Table 5. The solid lines represent the predicted mass-radius relationship for neutron stars with α = 1, and the dashed lines are with α = 0.95. Table 5 shows that the FRISG model suggested for the three stars agrees with the observed values, considering the errors due to observations.

The mass-radius relation for the three observed neutron stars PSR J1614-2230, J0437-4715, and SAXJ1808.4–3658. The predicted physical parameters for PSR J1614-2230 are σ = 0.2, α = 0.95, and ρ c = 3.0 × 1018 kg m−3; for the star J0437-4715, the predicted physical parameters are σ = 0.1, α = 0.95, and ρ c = 3.0 × 1018 kg m−3; for SAXJ1808.4–3658, the predicted values are σ = 0.1, α = 0.95, and ρ c = 1.0 × 1019 kg m−3.
The value of α influences the predicted mass for a given radius, influencing the EOS that the models utilize. As observed, small variations in α lead to different expected mass-radius relationships, affecting the EOS. Higher σ values, which affect the neutron star’s mass for a given radius, often suggest a denser core or a different composition. Denser neutron stars have a substantially larger mass at any given radius than less dense ones, as seen by the models with larger σ values (red lines), which exhibit a steeper mass-radius relationship. The estimated mass for a given radius decreases dramatically when the fractional parameter is reduced from 1 to 0.95, indicating the sensitivity of the expected neutron star properties to the EOS parameters. Changes in parameters may provide a more accurate description of neutron star design since the dotted lines (for α = 0.95) seem to fit the observed data points better than the solid lines (for α = 1). This may be considered for understanding the effects of model parameters (α, σ, and EOS) on expected neutron star physical characteristics and how they match with observational data.
The observed parameters of the star PSR J1614–2230 are M = 2.08 M⊙, R = 1.396 × 104 m, and the optimal parameters are σ = 0.2, α = 0.95, ρ c = 3.0 × 1018 kg/m3, P c = 5.4 × 1034 N/m2. A mass of ∼2 M⊙ requires strong relativistic corrections, hence a moderate relativistic parameter σ = 0.2. The choice of α = 0.95 reflects the need to slightly soften the internal pressure gradient, allowing for a denser but still stable configuration. The central density ρ c = 3.0 × 1018 kg/m3 is consistent with expectations for massive neutron stars and helps generate the required gravitational pressure. The star J0437–4715 have an observed M = 1.40 M⊙, R = 1.396 × 104 m, and the optimal parameters are σ = 0.1, α = 0.95, ρ c = 3.0 × 1018 kg/m3, P c = 2.7 × 1034 N/m2. A slightly lower mass (∼1.4 M⊙) allows for a smaller relativistic correction, so a weaker relativistic parameter σ = 0.1 is sufficient. Again, α = 0.95 is used to adjust the mass–radius curve downward, ensuring consistency with observations despite a lower central pressure than PSR J1614–2230. Same central density as PSR J1614–2230 implies similar internal composition, but the lower mass and pressure suggest that it is a less compact configuration. For the star SAX J1808.4–3658, the observed values of the mass and radius are M = 0.77 M ⊙, R = 7.65 × 103 m. The optimal parameters are σ = 0.1, α = 0.95, ρ c = 1.0 × 1019 kg/m3, and P c = 9.0 × 1034 N/m2. Although the mass is relatively low, the radius is extremely small, indicating a very compact object. To produce such a compact structure under relatively low mass, a very high central density ρ c = 1019 kg/m3 is required. The low α = 0.95 again serves to soften the system structurally and produce a realistic mass-radius curve for such a dense star. Despite low mass, the high pressure indicates an unusual internal EOS, possibly due to phase transitions or strong-field effects (e.g., quark deconfinement). Summarizing the results, fractional model systems with nonlocal internal structure, i.e., deviations from ideal hydrostatic profiles. It softens the equation of state, leading to more compact but stable configurations. Introduces stronger relativistic corrections (i.e., compactness), needed for more massive stars. Compensates (ρ c, central density) for smaller radii or lower masses by increasing pressure to prevent collapse.
With instability and collapse occurring beyond a critical mass or density, Chavanis [10,11] showed that the stability and equilibrium of isothermal spheres, including slowly rotating and polytropic cases, are controlled by turning points in the energy-temperature or central density-mass diagrams. This behavior is reflected in the maximum mass and the onset of instability of the FRISG. The present work’s findings, which include the existence of a maximum mass and the qualitative features of the mass-radius and central density-mass relations, directly parallel these relativistic isothermal predictions. Chavanis [12] also demonstrated that relativistic stars with a linear equation of state, such as neutron star cores, behave similar to isothermal spheres in general relativity, exhibiting a spiral mass-radius relation and a critical mass-energy threshold. Adding α as an extra degree of freedom, the fractional approach used in the present study generalizes these classical and relativistic results. This allows for continuous tuning of neutron stars' stability boundary and structural properties, capturing a wider range of physical behaviors and possibly reflecting nonlocal or microphysical effects that are not considered in standard models. This illustrates how the addition of fractional calculus enhances the theoretical landscape for modeling compact objects by offering a flexible phenomenological framework that can interpolate between various regimes of stability and compactness, by both classical and contemporary astrophysical theory, while also preserving the key elements of maximum mass and gravitational instability found in Chavanis’ work.
Also, the present study shows that sharper density profiles and more condensed, centrally concentrated mass distributions result from both reducing the fractional parameter (α) and raising the relativistic parameter (σ). Notably, the occurrence of a maximum mass, beyond which the structure collapses and becomes unstable, is consistent with previous discoveries utilizing fractional polytropic models and reflects the well-known behavior in classical TOV solutions for neutron stars [30]. Neutron star models that have softer equations of state and lower values are less compact. Particularly because of gravitational wave and NICER evidence, this is consistent with recent observational constraints and theoretical models that imply a range of stiffness in neutron star equations of state [46,47]. As a result, the fractional method offers a versatile framework for interpolating across various physical regimes and might contribute to the explanation of the variety of observable neutron star characteristics. The function of exotic matter and phase transitions (such as hadron-quark deconfinement) in neutron star interiors has been the subject of more recent studies. The fractional parameter α might be viewed as a phenomenological proxy for nonlocal interactions or changes in the effective equation of state, perhaps capturing some features of these transitions, even if the current study does not specifically address such microphysical effects. Neutron stars with quantum chromodynamics phase transitions, for example, exhibit sudden changes in neutrino and gravitational wave signals and changes in the mass-radius relation effects [47], which might theoretically be reproduced by adjusting α in the fractional model.
7 Conclusion
This work expands the TOV equation of the relativistic isothermal gas sphere to include fractional derivatives (FRISG), leading to a more comprehensive FTOVI. An accelerated series expansion is used to solve the FTOVI analytically. We calculated models for different values of the relativistic (σ) and fractional (α) parameters. We found that models having α value of 1 are limited to the relativistic integer models derived from the TOV equation. We can summarize the results in the following points:
The classical isothermal model assumes a constant temperature throughout the gas sphere. This simplification is typically valid for systems where heat transfer processes quickly equalize temperature differences. The resulting equation of hydrostatic equilibrium leads to the classical isothermal TOV equation, where thermal gradients are not dominant drivers of the structure. However, real stars may not be perfectly isothermal. Small deviations from temperature uniformity are physically present but can be negligible if other structural effects dominate. As revealed from the results, changing the fractional order α has a significant impact on solutions: altering density profiles, pressure distribution, and mass-radius relations. These structural changes outweigh the impact of mild temperature gradients. Mathematically, a small spatial variation in temperature would contribute a perturbative correction to the pressure, but fractional derivatives globally reshape the differential structure of the model. Hence, while nonuniform temperature introduces second-order corrections (they perturb an existing model without fundamentally altering its structure) in thermodynamic quantities, conformable modeling introduces first-order changes (instead of just altering their inputs, they substitute the fundamental operators in the governing equations) in the system’s physical behavior, particularly pressure support, gravitational stability, radius and mass distribution, and central condensation.
In the context of fractional relativistic isothermal spheres, the behavior of the Emden function, the mass function, and the first fractional derivative of the Emden function for various α values offer valuable insights into how changes in fundamental structural parameters can influence the physical properties of dense astrophysical objects, such as neutron stars. Lower α values correspond to lower central densities, suggesting a softer structural composition. These findings align with observations of neutron stars that exhibit a softer equation of state, which has implications for understanding their stability and evolution. Such insights can aid in refining neutron star formation and behavior models, ultimately enhancing our comprehension of these complex cosmic entities.
Increasing the relativistic parameter σ (or decreasing the fractional parameter α) results in more condensed and sharply declining profiles in the FRISG. These changes highlight the enhanced gravitational and compact effects associated with these parameters. The variations in the mass function illustrate how these factors influence the mass distribution within the sphere, with larger values leading to a greater amount of mass at any given radius.
Utilizing fractional calculus to study the FRIGS provides deeper insights into their thermodynamic balance, stability, and dynamic evolution under extreme conditions. Future research should prioritize developing theoretical models, validating predictions against observational data, and exploring innovative applications across various astrophysical scenarios. Notably, a maximum mass exists within the framework of the relativistic isothermal gas sphere; beyond a certain central density, the system becomes unstable and may collapse. This phenomenon arises from the complex interplay of relativistic pressure, density, and gravitational forces. As the core density increases, the mass of the FRISG grows until it reaches a critical threshold, after which relativistic effects become significant, resulting in the system achieving its maximum mass. This behavior mirrors what is observed in neutron star models and other compact objects, enhancing our understanding of their formation and stability.
Testing the mass-radius relationship of the FRISG against the observed masses and radii of three neutron stars shows good agreement when the fractional parameter is less than 1. These findings can be further explored to assess how theoretical parameters, such as α, σ, and central density, affect the physical properties of neutron stars and how well these predictions align with observational data. This understanding could enhance models of neutron star behavior, improve our grasp of their internal structures, and potentially inform searches for new astrophysical phenomena related to these enigmatic objects.
Acknowledgments
The authors extend their appreciation to Northern Border University, Saudi Arabia, for supporting this work through project number (NBU-CRP-2025-1266).
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Funding information: Researchers Supporting Program Number (NBU-CRP-2025-1266), Northern Border University, Arar, Saudi Arabia.
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Author contributions: Mohamed Nouh and Emad Abdel-Salam: writing – review and editing, writing – original draft, validation, software, methodology, and conceptualization. Abaker Hassaballa: writing – original draft. M. S. Jazmati: writing – original draft. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: All data generated or analyzed during this study are included in this published article.
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- Numerical solution of a nonconstant coefficient advection diffusion equation in an irregular domain and analyses of numerical dispersion and dissipation
- Numerical examination of the chemically reactive MHD flow of hybrid nanofluids over a two-dimensional stretching surface with the Cattaneo–Christov model and slip conditions
- Impacts of sinusoidal heat flux and embraced heated rectangular cavity on natural convection within a square enclosure partially filled with porous medium and Casson-hybrid nanofluid
- Stability analysis of unsteady ternary nanofluid flow past a stretching/shrinking wedge
- Solitonic wave solutions of a Hamiltonian nonlinear atom chain model through the Hirota bilinear transformation method
- Bilinear form and soltion solutions for (3+1)-dimensional negative-order KdV-CBS equation
- Solitary chirp pulses and soliton control for variable coefficients cubic–quintic nonlinear Schrödinger equation in nonuniform management system
- Influence of decaying heat source and temperature-dependent thermal conductivity on photo-hydro-elasto semiconductor media
- Dissipative disorder optimization in the radiative thin film flow of partially ionized non-Newtonian hybrid nanofluid with second-order slip condition
- Bifurcation, chaotic behavior, and traveling wave solutions for the fractional (4+1)-dimensional Davey–Stewartson–Kadomtsev–Petviashvili model
- New investigation on soliton solutions of two nonlinear PDEs in mathematical physics with a dynamical property: Bifurcation analysis
- Mathematical analysis of nanoparticle type and volume fraction on heat transfer efficiency of nanofluids
- Creation of single-wing Lorenz-like attractors via a ten-ninths-degree term
- Optical soliton solutions, bifurcation analysis, chaotic behaviors of nonlinear Schrödinger equation and modulation instability in optical fiber
- Chaotic dynamics and some solutions for the (n + 1)-dimensional modified Zakharov–Kuznetsov equation in plasma physics
- Fractal formation and chaotic soliton phenomena in nonlinear conformable Heisenberg ferromagnetic spin chain equation
- Single-step fabrication of Mn(iv) oxide-Mn(ii) sulfide/poly-2-mercaptoaniline porous network nanocomposite for pseudo-supercapacitors and charge storage
- Novel constructed dynamical analytical solutions and conserved quantities of the new (2+1)-dimensional KdV model describing acoustic wave propagation
- Tavis–Cummings model in the presence of a deformed field and time-dependent coupling
- Spinning dynamics of stress-dependent viscosity of generalized Cross-nonlinear materials affected by gravitationally swirling disk
- Design and prediction of high optical density photovoltaic polymers using machine learning-DFT studies
- Robust control and preservation of quantum steering, nonlocality, and coherence in open atomic systems
- Coating thickness and process efficiency of reverse roll coating using a magnetized hybrid nanomaterial flow
- Dynamic analysis, circuit realization, and its synchronization of a new chaotic hyperjerk system
- Decoherence of steerability and coherence dynamics induced by nonlinear qubit–cavity interactions
- Finite element analysis of turbulent thermal enhancement in grooved channels with flat- and plus-shaped fins
- Modulational instability and associated ion-acoustic modulated envelope solitons in a quantum plasma having ion beams
- Statistical inference of constant-stress partially accelerated life tests under type II generalized hybrid censored data from Burr III distribution
- On solutions of the Dirac equation for 1D hydrogenic atoms or ions
- Entropy optimization for chemically reactive magnetized unsteady thin film hybrid nanofluid flow on inclined surface subject to nonlinear mixed convection and variable temperature
- Stability analysis, circuit simulation, and color image encryption of a novel four-dimensional hyperchaotic model with hidden and self-excited attractors
- A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity
- Novel analysis of fractional regularized long-wave equation in plasma dynamics
- Development of a photoelectrode based on a bismuth(iii) oxyiodide/intercalated iodide-poly(1H-pyrrole) rough spherical nanocomposite for green hydrogen generation
- Investigation of solar radiation effects on the energy performance of the (Al2O3–CuO–Cu)/H2O ternary nanofluidic system through a convectively heated cylinder
- Quantum resources for a system of two atoms interacting with a deformed field in the presence of intensity-dependent coupling
- Studying bifurcations and chaotic dynamics in the generalized hyperelastic-rod wave equation through Hamiltonian mechanics
- A new numerical technique for the solution of time-fractional nonlinear Klein–Gordon equation involving Atangana–Baleanu derivative using cubic B-spline functions
- Interaction solutions of high-order breathers and lumps for a (3+1)-dimensional conformable fractional potential-YTSF-like model
- Hydraulic fracturing radioactive source tracing technology based on hydraulic fracturing tracing mechanics model
- Numerical solution and stability analysis of non-Newtonian hybrid nanofluid flow subject to exponential heat source/sink over a Riga sheet
- Numerical investigation of mixed convection and viscous dissipation in couple stress nanofluid flow: A merged Adomian decomposition method and Mohand transform
- Effectual quintic B-spline functions for solving the time fractional coupled Boussinesq–Burgers equation arising in shallow water waves
- Analysis of MHD hybrid nanofluid flow over cone and wedge with exponential and thermal heat source and activation energy
- Solitons and travelling waves structure for M-fractional Kairat-II equation using three explicit methods
- Impact of nanoparticle shapes on the heat transfer properties of Cu and CuO nanofluids flowing over a stretching surface with slip effects: A computational study
- Computational simulation of heat transfer and nanofluid flow for two-sided lid-driven square cavity under the influence of magnetic field
- Irreversibility analysis of a bioconvective two-phase nanofluid in a Maxwell (non-Newtonian) flow induced by a rotating disk with thermal radiation
- Hydrodynamic and sensitivity analysis of a polymeric calendering process for non-Newtonian fluids with temperature-dependent viscosity
- Exploring the peakon solitons molecules and solitary wave structure to the nonlinear damped Kortewege–de Vries equation through efficient technique
- Modeling and heat transfer analysis of magnetized hybrid micropolar blood-based nanofluid flow in Darcy–Forchheimer porous stenosis narrow arteries
- Activation energy and cross-diffusion effects on 3D rotating nanofluid flow in a Darcy–Forchheimer porous medium with radiation and convective heating
- Insights into chemical reactions occurring in generalized nanomaterials due to spinning surface with melting constraints
- Review Article
- Examination of the gamma radiation shielding properties of different clay and sand materials in the Adrar region
- Special Issue on Fundamental Physics from Atoms to Cosmos - Part II
- Possible explanation for the neutron lifetime puzzle
- Special Issue on Nanomaterial utilization and structural optimization - Part III
- Numerical investigation on fluid-thermal-electric performance of a thermoelectric-integrated helically coiled tube heat exchanger for coal mine air cooling
- Special Issue on Nonlinear Dynamics and Chaos in Physical Systems
- Analysis of the fractional relativistic isothermal gas sphere with application to neutron stars
- Abundant wave symmetries in the (3+1)-dimensional Chafee–Infante equation through the Hirota bilinear transformation technique
- Successive midpoint method for fractional differential equations with nonlocal kernels: Error analysis, stability, and applications