Article Content
Abstract
1. Introduction
2. Generalized Chaplygin gas model
The GCG model was originally proposed to unify dark matter and dark energy phenomena in the late-time universe [24]. In the present study, however, we do not treat the GCG as a physical fluid but rather as a geometric modification to the background cosmology through its influence on the Friedmann equation. This approach introduces a nonlinear dependence on the scalar field energy density, effectively modifying the expansion dynamics during the inflationary phase. As a result, the evolution of the Hubble parameter is slowed, which aids in sustaining the inflationary process. It is worth emphasizing that our formulation does not require the Chaplygin gas to exist as a thermodynamic component during inflation. Instead, consistent with interpretations found in the literature, we adopt the GCG as a structural modification to the cosmological background geometry, applicable even in early-universe scenarios. Meanwhile, the radiation component intrinsic to warm inflation arises independently due to dissipative processes involving the scalar field. Hence, the radiation bath and inflaton field evolve on a background governed by GCG-modified gravity, without assuming any physical coupling to the Chaplygin gas. This enhanced model incorporates additional degrees of freedom through a parameterized equation of state(2.1)Notably:
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When , the GCG exactly reduces to the standard CG model.
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For intermediate values , the model exhibits quintessence-like characteristics.
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As α approaches 0, it demonstrates phantom-like properties.
The corresponding energy density evolution emerges naturally from the conservation equation(2.2)where a is the scale factor and an integration constant. This elegant formulation allows the GCG to smoothly interpolate between dust-like behavior at early times and dark energy dominance at late times . In this context, the term proportional to as the energy density of matter is achieved.
2.1. Warm inflation framework with generalized Chaplygin gas background
The efficiency of dissipation is quantified by the dimensionless ratio(2.10)which divides the dynamics into two regimes:
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Weak dissipative regime:
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Strong dissipative regime:
2.2. Cosmological perturbation
3. D-brane model and inflationary parameters
3.1. Cosmological perturbations
3.2. Swampland conjectures
The string theory landscape refers to the vast theoretical space of possible vacuum solutions arising from different compactifications in string theory, each characterized by distinct physical parameters [48]. This multidimensional parameter space encompasses:
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Various false vacuum configurations.
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Alternative compactification geometries.
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Multiple flux stabilization possibilities.
Complementing this landscape is the conceptual “swampland” – the set of effective field theories that, while internally consistent, cannot be ultraviolet-completed within string theory. To systematically distinguish between landscape-compatible theories and those relegated to the swampland, two fundamental conjectures have emerged:
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Swampland Distance Conjecture:Proposes that traversing large distances in field space necessarily introduces an infinite tower of exponentially light states. In the context of effective field theory (EFT), the range traversed by the scalar fields within the field space is subject to an upper bound aswhere is some constant of order of unity.
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Swampland de Sitter Conjecture:Suggests that stable de Sitter vacua may be inconsistent with quantum gravity, implying stringent constraints on positive cosmological constants. The scalar field potentials of any EFT should obey one of the following conditions [49], [50], [51]or
Here, and are dimensionless constants with values near 1. The operator ∇ denotes the field-space gradient, while represents the smallest eigenvalue of the Hessian matrix , evaluated in an orthonormal basis. In warm inflation, this conjecture adopts a modified form to account forIf the ratio satisfies the condition , one can achieve the swampland conjectures [52].
3.3. Graphical part
This section analyzes the relationships between key inflationary observables and swampland criteria by plotting them against the . The proposed inflationary framework is tested against modern astrophysical constraints, primarily leveraging measurements of cosmic microwave background (CMB) temperature anisotropies. Predictions of the model are evaluated on the plane, which features observational constraints derived from CMB data. Recent high-precision results from the Planck satellite experiments [53], [54] provide stringent bounds on these parameters. To assess consistency with observations, we systematically investigate:
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The ratio between tensor to scalar r versus .
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The dissipation ratio R versus .
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The running of the spectral index versus .
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The thermal-to-adiabatic ratio versus .
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Behavior of r against :For , we numerically evaluate the expression of r as a function of the scalar spectral index using the theoretical framework established in Eqs. (2.18) and (3.7). Fig. 1 presents these cosmological predictions for three representative values of the dissipation parameter , while maintaining fixed values for other key parameters: , (in natural unit), , , and . Our analysis reveals a consistent decreasing trend in r across the observationally relevant range of , with all computed trajectories satisfying the latest Planck collaboration constraints of and at 95% confidence level [53], [54]. The results demonstrate particular sensitivity to the dissipation parameter κ, with variations of ±20% producing distinct but observationally viable curves. This systematic behavior confirms the robustness of the GCG framework within current observational bounds, suggesting that strong dissipative effects preferentially suppress tensor modes relative to scalar perturbations. The successful agreement with Planck data across our parameter choices indicates that the model requires no fine-tuning to remain consistent with measurements of the CMB.
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Fig. 1. Plot of r (ratio between tensor to scalar) against ns scalar spectral index) for D-Brane (p = 2) model.
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Behavior of R against : Fig. 2, Fig. 3 illustrate the relationship between the dissipative ratio and the scalar spectral index , derived from Eqs. (2.18) and (3.4), under two distinct scenarios: Fig. 2 and Fig. 3 . For Fig. 2, the generalized dissipative coefficient , simplifies to when . Substituting this, the dissipative ratio becomes . The analysis employs three values of the parameter , with fixed constants , and . In Fig. 3, the system is analyzed under the assumption of a strong dissipative regime with . Here, κ retains the same values , while parameters , , and are held constant. The trajectories of span across . By enforcing the critical warm inflation condition , the analysis identifies the parameter space where the strong dissipative regime dominates.
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Fig. 2. Plot of against ns for D-Brane (p = 2) model with a = 0.
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Fig. 3. Plot of against ns for D-Brane (p = 2) model with a = 1.
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Behavior of and :Recent analysis by the Planck 2018 collaboration has precisely measured the scale dependence of the scalar spectral index , revealing a slightly negative running that is statistically consistent with zero. Our investigation explores this running through three distinct scenarios characterized by different values of the parameter , as illustrated in caption of Fig. 4, Fig. 5, Fig. 6. In Fig. 4 , we examine the scale dependence across three dissipation parameter values , while holding other parameters fixed and . The results demonstrate excellent agreement with Planck’s reported range within the observational window , confirming the physical consistency of this configuration [53], [54].
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Fig. 4. Plot of running of the scalar spectral index against ns (scalar spectral index) for D-Brane (p = 2) model with a = 0.
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Fig. 5. Plot of running of the scalar spectral index against ns (scalar spectral index) for D-Brane (p = 2) model with a = 1.
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Fig. 6. Plot of running of the scalar spectral index against ns (scalar spectral index) for D-Brane (p = 2) model with a = −1.
Fig. 5 presents an interesting contrast when analyzed under identical parameter choices. Here, the model generates positive running values , which are observationally disfavored and suggest potential limitations of this particular parameterization. However, the scenario recovers physical consistency in Fig. 6 , where the predicted running again falls within Planck’s constraints, demonstrating the model’s viability for certain parameter combinations [53], [54]. These systematic comparisons reveal that the model’s consistency with observational data depends sensitively on both the dissipation mechanism (through κ) and the specific form of the thermal coupling (through a). The successful agreement for and cases, contrasted with the unphysical results, provides valuable insights into the parameter space where the GCG framework remains compatible with precision CMB measurements while maintaining its distinctive thermal characteristics. - •
Behavior of versus : Fig. 7 examines the relationship between the dimensionless parameter , derived from the de Sitter conjecture and the scalar spectral index , evaluated for three distinct values of κ. For , the ratio consistently remains below unity , satisfying the criteria of the swampland conjectures and confirming their validity under these conditions.
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Fig. 7. Plot of versus ns for exponential tails potential with a = 0.
4. D-brane model
4.1. Graphical part
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Behavior of r versus : In the case of D-Brane model, we present graphs illustrating the tensor-to-scalar ratio r and the scalar spectral index in Fig. 8. We plot the trajectories for and . Analysis of the plotted results reveals that the scalar spectral index , consistent with the Planck collaboration’s measured range, constrains the tensor-to-scalar ratio to (68% confidence level). This agreement validates the consistency of our theoretical framework with the latest observational constraints, as shown in [53], [54].
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Fig. 8. Plot of r versus ns for D-Brane (p = 4) model.
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Behavior of R versus : The graph in Fig. 9 depicts the relationship between the scalar spectral index and the dissipative ratio R for different values of κ. Fig. 9 analyzes the parameter space of the scalar spectral index within the 68% confidence interval , derived from observational constraints. Across this range, the dissipative ratio R consistently aligns with the theoretical requirements of the model, confirming its compatibility with the defined observational bounds.
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Fig. 9. Plot of R versus ns for D-Brane (p = 4) model with a = 1.
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Behavior of versus : Our numerical analysis reveals key features of the spectral index running in strong dissipative regimes (), as illustrated in Fig. 10, Fig. 11, Fig. 12. These results explore three distinct thermal coupling scenarios () across multiple dissipation scales (κ). Fig. 10 () demonstrates remarkable consistency with observational constraints, showing and . The tight clustering of running values near zero strongly supports the model’s validity. Fig. 11 () exhibits a characteristic decreasing trend for , with . While positive, this minimal running remains observationally permissible. Fig. 12 () shows particularly compelling agreement with Planck data [53], [54], as . This asymptotic behavior matches precision CMB measurements.
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Fig. 10. Plot of versus ns for D-Brane (p = 4) model with a = 0.
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Fig. 11. Plot of versus ns for D-Brane (p = 4) model with a = 1.
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Fig. 12. Plot of versus ns for D-Brane (p = 4) model with a = −1.
5. Potential with exponential tails model
5.1. Graphical part
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Behavior of r Vs : Fig. 13 illustrates the parametric relationship between the tensor-to-scalar ratio (r) and the scalar spectral index , analyzed across incremental variations in the parameter κ. The trajectories align with Planck 2018 constraints [53], [54], demonstrating theoretical consistency with observational bounds. Notably, all calculated values of r remain below the observational upper limit of for scalar spectral indices within the observationally allowed range, further validating the model’s compatibility with current cosmological datasets.
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Fig. 13. Plot of r versus ns for exponential tails potential.
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Behavior of R versus : Fig. 14 presents a systematic investigation of how the dissipative ratio R varies with the scalar spectral index across different values of the dissipation parameter κ. Our analysis focuses on the observationally constrained range , corresponding to the 68% confidence limits from precision CMB measurements. The results demonstrate that the range of R satisfying observational data sets.
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Fig. 14. Plot of R versus ns for exponential tails potential with a = 1.
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Behavior of versus : Fig. 15, Fig. 16, Fig. 17 analyze the correlation between and for three distinct values of parameter a. For (Fig. 15), the scalar spectral index spans , while the running occupies a narrow range of . The marginally negative values of support consistency with modern observational constraints. For (Fig. 16), the running spans , while (Fig. 17) yields . These results exhibit slight negative deviations in , corroborating the Planck collaboration’s bounds on inflationary dynamics [53], [54].
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Fig. 15. Plot of versus ns for exponential tails potential with a = 0.
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Fig. 16. Plot of versus ns for exponential tails potential with a = 1.
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Fig. 17. Plot of versus ns for exponential tails potential with a = −1.
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Behavior of versus : Fig. 18 analyzes the correlation between the dimensionless parameter , central to the de Sitter conjecture, and the scalar spectral index , evaluated for three distinct values of κ. The analysis confirms that across all tested scenarios, thereby supporting the theoretical bounds imposed by the swampland conjectures. This inequality aligns with the conjectures’ requirement for viable low-energy effective theories to avoid de Sitter-like vacua, further reinforcing the consistency of our framework with quantum gravity constraints.
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Fig. 18. Plot of versus ns for exponential tails potential with a = 0.
6. Concluding remarks
CRediT authorship contribution statement
Declaration of Competing Interest
Acknowledgements
Data availability
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