A Common Origin of the H0 and S8 Cosmological Tensions and a Resolution Within a Modified ΛCDM Framework
Abstract
1. Introduction
1.1. Standard CDM Model
- (1)
- (2)
1.2. Major Cosmological Tensions
1.3. A Remarkable Coincidence and a New Path Forward
- (a)
- (b)
1.4. Outline
- In Section 2, we introduce an additional drag term to the Euler equation and perform the linear perturbation analysis in the conformal Newtonian gauge within the FLRW background.
- In Section 3, we determine typical values of in our modified CDM framework and we examine whether the tension can be resolved by accounting for the added time-dependent friction (% of ) induced by drag forces due to an exterior tidal field (statistically isotropized, but with a nonzero mean value).
- In Section 4, we examine how this kinematic enhancement of the Hubble expansion modifies the background dynamics of the standard CDM model to linear order in .
- In Section 5, we develop a simplified 1D radial line-of-sight model and estimate the net tidal acceleration acting on a target galaxy, as well as the implied magnitude of .
- In Section 6, we summarize our conclusions.
- In Appendix A, we show that the modifications introduced to the kinematics and the dynamics of the Hubble flow are consistent with one another.
2. Linear Perturbations with a Time-Dependent Drag Force
2.1. Initial Assumptions and Kinematic Framework
2.2. Linearized Perturbation Equations
2.2.1. Preliminaries
2.2.2. First-Order Equations
2.3. Scaling the Friction Coefficient
3. Clustering Amplitudes and Growth Rates in CDM with a Drag Force
3.1. Preliminaries
3.2. The ODE of the Matter Density Contrast
3.3. Analytic Approximation for the Matter-Dominated Epoch
3.4. Numerical Solutions of the Growth Equation
3.4.1. Parameter of the Hubble Friction
3.4.2. Parameter of the Hubble Friction
3.5. Growth Rate from the Nonlinear First-Order Growth ODE
- Ratio measures an integrated amplitude effect: once is activated at , the enhanced friction suppresses growth over the entire interval , and the accumulated suppression increases substantially when the activation redshift is set farther into the past.
- By contrast, ratio probes only a local logarithmic slope at the present epoch. Because this slope is determined mainly by the late-time background evolution (near ) and the local friction term, varying leaves the late-time slope largely unaffected. Consequently, the spread in is much smaller than that in across the models in Table 3.
3.5.1. Application: Models of the Growth Rate
3.5.2. Application: Models of the Observable Growth Rate
4. Modified Background Dynamics in CDM
4.1. Hubble Rate Evolution
4.2. Hubble Rate Fixed Point
4.3. Vacuum and Matter Scaling
4.4. Cosmic Acceleration
Application: The Transition Redshift
4.5. Matter–Vacuum Equality Threshold
Application: No Density Coincidence Problem in CDM
4.6. Deceleration Parameter
- ➢
- Since in CDM and , the term increases q, and, since , the differencerenders more negative at fixed H and enhances deceleration (or holds back acceleration in the corresponding regime), as noted above in the discussion of Equation (67).
- ➢
- The difference is modulated by the CDM baseline kinematics through the factor . In particular, (matter domination) and ( domination). Thus, the same constant produces an larger correction in the acceleration era than in the deceleration era, with the magnitude of remaining bounded across all intermediate epochs.
- ➢
- The acceleration transition point occurs when , and it is shifted in CDM toThis is a kinematic statement that the modification delays the onset of acceleration until redshift relative to the higher CDM threshold of .
- ➢
- The CDM model does not permit an arbitrary z-dependent departure of the deceleration history . To , the deviation is proportional to the constant parameter (Equation (70)). Hence, varying only rescales a definite, model-prescribed departure of (relative to CDM), rather than introducing a free correction function of z. Consequently, observational reconstructions of —from distance indicators or via the transition redshift —can constrain the parameter directly.
Application: A Present-Day Deceleration Parameter
4.7. An Effective Equation of State
Application: A Present-Day Effective EOS Index
4.8. Global Energy Conservation
Application: A Tidal Sector EOS Index
4.9. - Comparison
4.10. Hubble Tension Unraveled
5. The Dual Action of the Tidal Field in CDM
5.1. Preliminaries
5.2. Tidal Acceleration Components
5.3. Characteristic Estimates
5.4. Comparisons Between Tables
- The models indicate that the tension can only be resolved if the tidal activation redshift is enormous (typically 30–12 for 0.76–0.78). Unless turns out to be (see Table 2), this amplitude is inadequate for CDM.
- The models consistently demonstrate that an exterior drag force resolves the tensions in and , provided that the tidal activation redshift is (see also the 1D radial Model C4 with in Table 7). Given the approximate nature of the 1D radial model and the exact models listed in Table 1, this threshold may have to be revised to be lower [45,46,47], notably to 3.5–6.5 (see Models A3–A6 in Table 1), a range also indicated by recent LSS simulations [48,49,50,51,52]. Regardless, the adopted estimate of is clearly the best choice for the benchmark CDM model.
6. Summary and Conclusions
6.1. Summary
- (a)
- In Section 1, we reviewed the two foundational CDM problems (CCP and DCP) and the two major observational tensions ( and ), emphasizing the empirical difference in observations that motivates a unified late-time explanation within the new CDM model.
- (b)
- In Section 2, we introduced a late-time drag term in the Euler equation and derived the corresponding linear perturbation equations in the conformal Newtonian gauge (sub-horizon limit) on a flat FLRW CDM background.
- (c)
- In Section 3, we solved the modified growth equation and showed that the added friction can suppress late-time structure growth and lower the predicted clustering amplitude to the observed low-redshift range, thereby addressing the tension.
- (d)
- In Section 4, we analyzed the associated background modifications implied by the same kinematical prescription, including its impacts on standard late-time and present-day expansion diagnostics.
- (e)
- In Section 5, we developed a simplified 1D radial LOS model for the late-time tidal environment of nonlinear structures and used it to estimate both the accumulated LOS recession contribution and the implied drag amplitude , where is the scale factor of the tidal activation epoch.
6.2. Conclusions
- ➀
- Tension—After activation, the drag force adds more friction to the linear growth equation of perturbations, suppressing late-time growth and lowering the predicted clustering amplitude [43,53,54,55]. The solutions presented in Section 3 demonstrate that the parameter range consistent with the kinematic interpretation simultaneously yields the required reduction in parameter in a CDM background with a benchmark value of .
- ➁
- Hubble Tension—The CDM model provides a late-time mechanism that biases local CDL determinations of the Hubble flow through an additional LOS contribution sourced by a statistically isotropized tidal environment with a nonzero mean value (Section 5) [55,56,57]. In this picture, the inferred expansion rate is shifted relative to the CDM background in a manner controlled by the same parameter that enters the modified kinematics (cf. Equation (45)).
- ➂
- Density Coincidence Problem—In CDM, parameter modifies both the recent acceleration threshold and the matter–vacuum equality threshold [26,44]. For the benchmark case analyzed in Section 4.5, these thresholds occur at nearly the same redshift (cf. Equations (59) and (62)), so the “recent” coincidence underlying the DCP in standard CDM is effectively absent in CDM (Section Application: No Density Coincidence Problem in CDM).
- ➃
- Cosmological Constant Problem—The present framework does not address the magnitude of the vacuum energy predicted by quantum field theory (cf. Refs. [58,59]). As in the standard CDM, the field is treated phenomenologically as an input to the background dynamics (Section 4). We do, however, find a scaled-down value in CDM, with the same scaling also modifying the dust–matter density field (cf. Equations (52) and (89)).
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CCP | Cosmological Constant Problem |
| CDL | Cosmic Distance Ladder |
| CDM | Cold Dark Matter |
| CMB | Cosmic Microwave Background |
| DCP | Density Coincidence Problem |
| DES | Dark Energy Survey |
| EOS | Equation of State |
| FEs | Friedmann Equations |
| FLRW | Friedman–Lemaître–Robertson–Walker |
| IVP | Initial Value Problem |
| KiDS | Kilo-Degree Survey |
| LOS | Line of Sight |
| LSS | Large-Scale Structure |
| MVE | Matter–Vacuum Equality |
| ODE | Ordinary Differential Equation |
| RMS | Root Mean Square |
| SnIa | Supernovae of Type Ia |
| TRGB | Tip of Red Giant Branch |
| 1D | One-Dimensional |
| 3D | Three-Dimensional |
Appendix A. Reconciling Hubble Flow Kinematics and Dynamics in γΛCDM
Appendix A.1. Modified Hubble Flow Kinematics
Appendix A.2. Modified Hubble Flow Dynamics
Appendix A.3. Linear First-Order ODE for the Drag Parameter
Appendix A.4. General Solution of the Drag Parameter
- (1)
- In the matter-dominated CDM, the product increases with cosmic time as , so decays in time and at late times. For example, considering the set of redshifts , is diluted by factors of between these epochs and the present, respectively. This dilution becomes much faster in the -dominated future.
- (2)
- The time-dependent term can be written most transparently in conformal rather than cosmic time. In what follows, we recast Equation (A15) in conformal time , thereby making its conformal properties explicit.
Appendix A.5. The Conformal Nature of
| 1 | The latest result from the KiDS–Legacy data set [39,40] is an outlier according to the list of 42 independent values given in Table II of Ref. [15]. Of these 42 values, only 13 rely on combined data sets that also include KiDS data. Excluding these 13 values, there remain 26 values in with mean and standard deviation . This mean value lies about below [39]. Conversely, the new KiDS–Legacy lies above the mean . |
| 2 | This new, unexpectedly large value will need to be verified by other independent methods, which so far have produced much smaller values, and the process will have to also determine the reasons for these older small contemporary values. Otherwise, the latest KiDS–Legacy value will remain as one of the most obvious outliers, together with the two values on the opposite side of the potential interval [41,42]. |
| 3 | |
| 4 | We note that Model A8 (Table 1, Table 2, Table 3 and Table 4) was included to accommodate the recent KiDS–Legacy survey results [39,40] that, perhaps surprisingly, indicate a high value of . Although not in tension with standard CDM, this value is a marked outlier among a variety of determinations, most of which do not rely on KiDS data (see Note 1 and Table II in Ref. [15]). |
| 5 | On the other hand, the CDM model with two free parameters ( and ) has no difficulty reproducing the KiDS–Legacy result [39,40] (Table 1 and Table 2), and we find it interesting that the tension is eliminated for very low values of the -activation redshift –2 for –4%, respectively. These low values effectively support the arguments of Akarsu et al. [32] that the redshift dependence of CDM parameters should be studied in various bins within the interval in order to localize systematic errors and physics missing from the standard model. |
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| Model | Growth Suppression (%) | |||||
| 0.083 | A1 | 7.551 | 0.1170 | 0.9025 | 9.75 | 0.75 |
| A2 | 7.000 | 0.1250 | 0.9063 | 9.37 | 0.753 | |
| A3 | 6.536 | 0.1327 | 0.9097 | 9.03 | 0.756 | |
| A4 | 5.930 | 0.1443 | 0.9145 | 8.55 | 0.76 | |
| A5 | 4.622 | 0.1779 | 0.9266 | 7.34 | 0.77 | |
| A6 | 3.560 | 0.2193 | 0.9386 | 6.14 | 0.78 | |
| A7 | 2.690 | 0.2710 | 0.9506 | 4.94 | 0.79 | |
| A8 | 1.132 | 0.4690 | 0.9795 | 2.05 | 0.814 |
| Model | Growth Suppression (%) | |||||
| 0.039 | B1 | 9 | 0.1000 | 0.9475 | 5.25 | 0.787 |
| B2 | 8 | 0.1111 | 0.9506 | 4.94 | 0.790 | |
| B3 | 7 | 0.1250 | 0.9540 | 4.60 | 0.793 | |
| B4 | 6 | 0.1429 | 0.9578 | 4.22 | 0.796 | |
| B5 | 4 | 0.2000 | 0.9675 | 3.25 | 0.804 | |
| B6 | 3 | 0.2500 | 0.9738 | 2.62 | 0.809 | |
| B7 | 2.258 | 0.3069 | 0.9795 | 2.05 | 0.814 |
| Model | ||||||
| 0 | CDM | ⋯ | ⋯ | 1 | 0.52710 | 1 |
| 0.083 | A1 | 7.551 | 0.1170 | 0.9025 | 0.48385 | 0.91795 |
| A2 | 7.000 | 0.1250 | 0.9063 | 0.48390 | 0.91803 | |
| A3 | 6.536 | 0.1327 | 0.9097 | 0.48394 | 0.91812 | |
| A4 | 5.930 | 0.1443 | 0.9145 | 0.48402 | 0.91826 | |
| A5 | 4.622 | 0.1779 | 0.9266 | 0.48430 | 0.91880 | |
| A6 | 3.560 | 0.2193 | 0.9386 | 0.48478 | 0.91971 | |
| A7 | 2.690 | 0.2710 | 0.9506 | 0.48561 | 0.92128 | |
| A8 | 1.132 | 0.4690 | 0.9795 | 0.49145 | 0.93236 |
| RMS | RMS | |||||||
| Model | A | n | Residual | ℓ | Residual | |||
| Error (%) | Error (%) | |||||||
| 0 | CDM | ⋯ | ⋯ | 1.00011 | 0.55173 | 0.0423 | 0.55156 | 0.0436 |
| 0.083 | A1 | 7.551 | 0.1170 | 0.95450 | 0.59635 | 1.31 | 0.56122 | 2.14 |
| A2 | 7.00 | 0.1250 | 0.95531 | 0.59727 | 1.30 | 0.56082 | 2.18 | |
| A3 | 6.536 | 0.1327 | 0.95610 | 0.59814 | 1.29 | 0.56041 | 2.21 | |
| A4 | 5.930 | 0.1443 | 0.95730 | 0.59940 | 1.27 | 0.55974 | 2.25 | |
| A5 | 4.622 | 0.1779 | 0.96089 | 0.60281 | 1.21 | 0.55746 | 2.38 | |
| A6 | 3.560 | 0.2193 | 0.96555 | 0.60656 | 1.12 | 0.55404 | 2.53 | |
| A7 | 2.690 | 0.2710 | 0.97181 | 0.61065 | 1.00 | 0.54899 | 2.70 | |
| A8 | 1.132 | 0.4690 | 1.00063 | 0.62242 | 0.51 | 0.52632 | 2.98 |
| Row # | Parameter | Symbol | CDM Value | CDM Value |
| () | () | |||
| 1 | Hubble Constant | —— 67.4 —— | ||
| 2 | Dark Energy Fraction | ——— 0.685 ——— | ||
| 3 | LSS Parameter | |||
| 4 | Hubble Friction | |||
| 5 | Fixed Point | 1 | 1.166 | |
| 6 | Transition Redshift | 0.6323 | 0.2767 | |
| 7 | Zero-Acceleration | 0.454 | ||
| 8 | MVE Redshift | 0.2956 | 0.2701 | |
| 9 | MVE | |||
| 10 | Deceleration Parameter | |||
| 11 | Effective -EOS Index | |||
| 12 | Total EOS Index | |||
| 13 | Tidal Sector EOS Index | ⋯ | ||
| 14 | Dust EOS Index | ⋯ | ||
| γ | ⟶ | [CDL] | ⟵ | Data Set | Reference–Review | |
|---|---|---|---|---|---|---|
| 0.083 | 73.0 | Cepheids–SnIa | [16]–[15] | |||
| 0.076 | 72.5 | Cepheids–SnIa (+TRGB) | ||||
| 0.039 | 70.0 | SnIa–TRGB | [17]–[15] | |||
| 0.035 | 69.8 |
| Model | ||||||||||
| (%) | (%) | (%) | ||||||||
| C1 | 0.045 | 21.22 | 0.768 | 0.0392 | 0.0378 | 0.0400 | 0.0389 | |||
| C2 | 0.075 | 12.33 | 0.760 | 0.0558 | 0.0529 | 0.0573 | 0.0551 | |||
| C3 | 0.100 | 9.00 | 0.756 | 0.0693 | 0.0649 | 0.0714 | 0.0681 | |||
| C4 | 0.125 | 7.00 | 0.753 | 0.0830 | 0.0767 | 0.0858 | 0.0813 |
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Christodoulou, D.M.; Kazanas, D.; Laycock, S.G.T. A Common Origin of the H0 and S8 Cosmological Tensions and a Resolution Within a Modified ΛCDM Framework. Galaxies 2026, 14, 16. https://doi.org/10.3390/galaxies14020016
Christodoulou DM, Kazanas D, Laycock SGT. A Common Origin of the H0 and S8 Cosmological Tensions and a Resolution Within a Modified ΛCDM Framework. Galaxies. 2026; 14(2):16. https://doi.org/10.3390/galaxies14020016
Chicago/Turabian StyleChristodoulou, Dimitris M., Demosthenes Kazanas, and Silas G. T. Laycock. 2026. "A Common Origin of the H0 and S8 Cosmological Tensions and a Resolution Within a Modified ΛCDM Framework" Galaxies 14, no. 2: 16. https://doi.org/10.3390/galaxies14020016
APA StyleChristodoulou, D. M., Kazanas, D., & Laycock, S. G. T. (2026). A Common Origin of the H0 and S8 Cosmological Tensions and a Resolution Within a Modified ΛCDM Framework. Galaxies, 14(2), 16. https://doi.org/10.3390/galaxies14020016

