A detectably large primordial trispectrum forces the bispectrum parameter fNLf_{\rm NL} to vary between horizon-sized patches of the inflated universe: with gNL≳105g_{\rm NL}\gtrsim10^5, the probability that a horizon-sized patch shows fNLf_{\rm NL} as small as Planck observes falls below 30% even for a single super-horizon e-folding of near scale-invariant perturbations, and below 10% for ∼100\sim100 such e-foldings, even if the global value of fNLf_{\rm NL} is zero (Byrnes, Nurmi, Tasinato and Wands, 2013). The same paper showed this relation cannot be inverted: posterior bounds on the global trispectrum amplitude gNL0g^0_{\rm NL} from the observed fNLobsf^{\rm obs}_{\rm NL} depend strongly on the prior assumed for the variance, so no model-independent a posteriori bound exists, and the derivation rests on unquantified assumptions — the unknown number NinN_{\rm in} of super-horizon e-foldings, the absence of large higher-order coefficients (hNLh_{\rm NL} and beyond), and squeezed-limit trispectrum shapes. The open problem is whether the mapping between patch-to-patch variation of observed non-Gaussianity and the global higher-order correlator content of the primordial curvature perturbation can be made robust and observationally usable: quantifying the NinN_{\rm in} and shape dependence, controlling the higher-order truncation, constructing (or proving impossible) physically motivated model-independent priors, and realizing concrete patch-variation tests in CMB and large-scale-structure surveys.

Background

Inflation, the accelerated expansion believed to have preceded the hot big bang, stretched microscopic quantum fluctuations to cosmological scales, seeding the temperature anisotropies of the cosmic microwave background (CMB) and the large-scale distribution of galaxies. These perturbations are described by the curvature perturbation ζ\zeta, a nearly scale-invariant random field with power spectrum amplitude Pζ≃2×10−9P_\zeta\simeq2\times10^{-9}. Deviations from a Gaussian field are organized in a perturbative expansion; for the widely used local ansatz,

ζ=ζG+35fNL(ζG2−⟨ζG2⟩)+925gNLζG3+27125hNLζG4+…\zeta=\zeta_G+\frac{3}{5}f_{\rm NL}\left(\zeta_G^2-\langle\zeta_G^2\rangle\right)+\frac{9}{25}g_{\rm NL}\zeta_G^3+\frac{27}{125}h_{\rm NL}\zeta_G^4+\ldots

where ζG\zeta_G is Gaussian. The coefficients multiply the connected higher-order correlation functions: fNLf_{\rm NL} sets the bispectrum (connected three-point function), gNLg_{\rm NL} the trispectrum (connected four-point function, whose parameterization for local-type non-Gaussianity was introduced by Byrnes, Sasaki and Wands in 2006), and hNLh_{\rm NL} the connected five-point function. Planck constrains fNLlocalf_{\rm NL}^{\rm local} to order unity; at the time of the source paper the local trispectrum amplitude gNLg_{\rm NL} was constrained only at the level of a few ×105\times10^5 (from pre-Planck CMB data), roughly 10510^5 times weaker, so the second- and third-order terms of the expansion were comparably bounded — a detectable gNLg_{\rm NL} (threshold ∣gNL∣≳2×105|g_{\rm NL}|\gtrsim2\times10^5) remained logically compatible with the small observed fNLf_{\rm NL}. The key physical mechanism is mode coupling to unobservable longer wavelengths. In a universe much larger than our Hubble volume, long-wavelength modes of ζ\zeta (or of other light fields) act as a locally nearly homogeneous background that shifts the statistics measured in any smaller patch — the separate-universe picture. Byrnes, Nurmi, Tasinato and Wands (2012, Inhomogeneous non-Gaussianity) proposed exploiting this: the inhomogeneity of fNLf_{\rm NL} across patches probes higher-order correlators. The source paper (Byrnes, Nurmi, Tasinato and Wands 2013) made this quantitative. Splitting ζG=ζG,l+ζG,s\zeta_G=\zeta_{G,l}+\zeta_{G,s} at the horizon scale, with typical long mode ζG,l≃PζNin\zeta_{G,l}\simeq\sqrt{P_\zeta N_{\rm in}} for NinN_{\rm in} e-foldings of super-horizon, near scale-invariant perturbations, the value measured in our patch obeys fNLobs=fNL0+(95gNL0−125(fNL0)2)ζG,l+O(hNL0ζG,l2)f^{\rm obs}_{\rm NL}=f^0_{\rm NL}+\left(\frac{9}{5}g^0_{\rm NL}-\frac{12}{5}(f^0_{\rm NL})^2\right)\zeta_{G,l}+O(h^0_{\rm NL}\zeta^2_{G,l}), so a large gNLg_{\rm NL} induces a patch-to-patch variance σfNL2∝(gNL0)2PζNin\sigma^2_{f_{\rm NL}}\propto(g^0_{\rm NL})^2P_\zeta N_{\rm in}. If gNL≳105g_{\rm NL}\gtrsim10^5, the probability that a horizon-sized patch displays fNLf_{\rm NL} as small as observed drops below 30% even for Nin∼1N_{\rm in}\sim1, and below 10% for Nin∼100N_{\rm in}\sim100, even when fNL0=0f^0_{\rm NL}=0. The paper also proved a shape-general inequality in the squeezed limit (one external momentum much smaller than the others), σfNL2≥(5βNL12)2PζNin\sigma^2_{f_{\rm NL}}\ge\left(\frac{5\beta_{\rm NL}}{12}\right)^2P_\zeta N_{\rm in}, relating the variance of the generalized squeezed-limit fNLf_{\rm NL} to the squeezed limit of the four-point function through a new parameter βNL\beta_{\rm NL} — a higher-order analogue of the Suyama–Yamaguchi inequality, which relates the collapsed-limit trispectrum parameter τNL\tau_{\rm NL} to fNL2f^2_{\rm NL} for any shape. Finally, Bayesian inversion — a posterior bound on the global gNL0g^0_{\rm NL} from the observed small fNLobsf^{\rm obs}_{\rm NL} — proved strongly dependent on the prior assumed for the variance, and the authors concluded that no model-independent a posteriori bound on gNL0g^0_{\rm NL} can be obtained from fNLf_{\rm NL} constraints alone. (Observationally, direct CMB trispectrum limits now exist — gNLlocal=(−5.8±6.5)×104g_{\rm NL}^{\rm local}=(-5.8\pm6.5)\times10^4 from Planck 2018 — which changes the practical motivation but not the inference-theory questions below.) The paper is explicit that this framework rests on unverified assumptions and stops short of several natural completions: the value of NinN_{\rm in} and possible departures from scale invariance on super-horizon scales are unknown; the truncation assuming the fourth-order coefficient hNL0h^0_{\rm NL} (and higher) is not extremely large, which underpins gNLobs≃gNL0g^{\rm obs}_{\rm NL}\simeq g^0_{\rm NL}, is unquantified; no physically motivated model-independent prior is constructed; the suggested observational test — measuring the variation of fNLf_{\rm NL} across sub-patches of our horizon in CMB or large-scale-structure surveys — is not developed; and the variance–trispectrum mapping is established only for squeezed-limit-dominated shapes.

Problem Statement

Can the relation between the primordial trispectrum and the patch-to-patch variance of observed non-Gaussianity be developed into a robust, model-independent channel for inferring the global higher-order correlator content of the primordial curvature perturbation from observations in a finite sub-volume of the universe (our Hubble horizon, or patches within it)? The source framework establishes σfNL2∝(gNL0)2PζNin\sigma^2_{f_{\rm NL}}\propto(g^0_{\rm NL})^2P_\zeta N_{\rm in} for local non-Gaussianity and the squeezed-limit inequality σfNL2≥(5βNL12)2PζNin\sigma^2_{f_{\rm NL}}\ge\left(\frac{5\beta_{\rm NL}}{12}\right)^2P_\zeta N_{\rm in} for general shapes, but cannot be inverted without priors. The linked components are: (1) scale-range robustness — how the variance and probability bounds change when the assumption of NinN_{\rm in} e-foldings of exactly scale-invariant perturbations beyond our horizon is relaxed (finite field mass, running of the spectral index, i.e. slow scale-drift of the spectral index nsn_s, other departures from scale invariance on super-horizon scales), and what this implies for the numerical probabilities and bounds; (2) higher-order truncation — under what conditions large higher-order coefficients (hNL0h^0_{\rm NL} and beyond) invalidate gNLobs≃gNL0g^{\rm obs}_{\rm NL}\simeq g^0_{\rm NL} and the derived variance formulas, established either by general analysis or across explicit model classes; (3) prior structure — whether physically motivated, model-independent priors on the variance (equivalently upper cutoffs on ∣gNL0∣|g^0_{\rm NL}|) can be constructed under which a posteriori bounds on gNL0g^0_{\rm NL} from fNLobsf^{\rm obs}_{\rm NL} become meaningful, or a demonstration that none exist within specified model classes; (4) observational realization — concrete strategies and estimators for measuring the variation of fNLf_{\rm NL} or patch-wise bispectra across sub-patches of the sky in CMB or large-scale-structure surveys, with quantified sensitivity, covariance and systematic limitations for constraining the trispectrum and higher correlators this way; and (5) shape generality — the quantitative mapping between shape-specific trispectrum features beyond the squeezed limit and the variance of measurable non-Gaussianity in concrete non-local models, including any sharpening or extension of the squeezed-limit βNL\beta_{\rm NL} inequality. A resolving answer must quantitatively address at least the core components (1) scale-range robustness and (3) prior structure, and must explicitly state which of the remaining components it resolves and which it leaves open, and why; all components serve the single objective of determining whether, and how far, non-Gaussianity measured in our patch can be trusted to represent the global primordial statistics.

References

  1. Christian T. Byrnes, Sami Nurmi, Gianmassimo Tasinato, David Wands (2013). Implications of the Planck bispectrum constraints for the primordial trispectrum. EPL 103, 19001. DOI: 10.1209/0295-5075/103/19001. https://arxiv.org/abs/1306.2370
  2. Christian T. Byrnes, Sami Nurmi, Gianmassimo Tasinato, David Wands (2012). Inhomogeneous non-Gaussianity. JCAP 2012, 012. DOI: 10.1088/1475-7516/2012/03/012. https://arxiv.org/abs/1111.2721
  3. Christian T. Byrnes, Misao Sasaki, David Wands (2006). The primordial trispectrum from inflation. Physical Review D 74, 123519. DOI: 10.1103/PhysRevD.74.123519. https://arxiv.org/abs/astro-ph/0611075
  4. Teruaki Suyama, Masahide Yamaguchi (2008). Non-Gaussianity in the modulated reheating scenario. Physical Review D 77, 023505. DOI: 10.1103/PhysRevD.77.023505. https://arxiv.org/abs/0709.2545
  5. Marilena LoVerde, Elliot Nelson, Sarah Shandera (2013). Non-Gaussian Mode Coupling and the Statistical Cosmological Principle. JCAP 2013, 024. DOI: 10.1088/1475-7516/2013/06/024. https://arxiv.org/abs/1303.3549
  6. Marilena LoVerde (2014). Super cosmic variance from mode-coupling: A worked example. Physical Review D 89, 023505. DOI: 10.1103/PhysRevD.89.023505. https://arxiv.org/abs/1310.5739
  7. Bekir Baytaş, Aruna Kesavan, Elliot Nelson, Sohyun Park, Sarah Shandera (2015). Nonlocal bispectra from super cosmic variance. Physical Review D 91, 083518. DOI: 10.1103/PhysRevD.91.083518. https://arxiv.org/abs/1502.01009
  8. Béatrice Bonga, Suddhasattwa Brahma, Anne-Sylvie Deutsch, Sarah Shandera (2016). Cosmic variance in inflation with two light scalars. JCAP 2016, 018. DOI: 10.1088/1475-7516/2016/05/018. https://arxiv.org/abs/1512.05365
  9. Jinn-Ouk Gong, Tomo Takahashi (2014). Higher order nonlinear parameters with Planck constraints. Physical Review D 89, 023516. DOI: 10.1103/PhysRevD.89.023516. https://arxiv.org/abs/1309.2917
  10. Kendrick M. Smith, Leonardo Senatore, Matias Zaldarriaga (2015). Optimal analysis of the CMB trispectrum. arXiv:1502.00635. https://arxiv.org/abs/1502.00635
  11. Simone Ferraro, Kendrick M. Smith (2015). Using large scale structure to measure fNLf_{\rm NL}, gNLg_{\rm NL} and τNL\tau_{\rm NL}. Physical Review D 91, 043506. DOI: 10.1103/PhysRevD.91.043506. https://arxiv.org/abs/1408.3126
  12. Saroj Adhikari, Donghui Jeong, Sarah Shandera (2016). Constraining primordial and gravitational mode coupling with the position-dependent bispectrum of the large-scale structure. Physical Review D 94, 083528. DOI: 10.1103/PhysRevD.94.083528. https://arxiv.org/abs/1608.05139
  13. Gabriel Jung, Filippo Oppizzi, Andrea Ravenni, Michele Liguori (2020). The integrated angular bispectrum. JCAP 2020, 035. DOI: 10.1088/1475-7516/2020/06/035. https://arxiv.org/abs/2004.03574
  14. Zachary Kenton, David J. Mulryne, Steven Thomas (2015). Generating the cosmic microwave background power asymmetry with gNLg_{\rm NL}. Physical Review D 92, 023505. DOI: 10.1103/PhysRevD.92.023505. https://arxiv.org/abs/1504.05736
  15. Christian T. Byrnes, Ewan R. M. Tarrant (2015). Scale-dependent non-Gaussianity and the CMB Power Asymmetry. JCAP 2015, 007. DOI: 10.1088/1475-7516/2015/07/007. https://arxiv.org/abs/1502.07339
  16. Laura Iacconi, David Mulryne, David Seery (2024). Loop corrections in the separate universe picture. JCAP 2024, 062. DOI: 10.1088/1475-7516/2024/06/062. https://arxiv.org/abs/2312.12424
  17. Planck Collaboration: P. A. R. Ade, N. Aghanim, M. Arnaud, et al. (2016). Planck 2015 results. XVII. Constraints on primordial non-Gaussianity. Astronomy & Astrophysics 594, A17. DOI: 10.1051/0004-6361/201525836. https://arxiv.org/abs/1502.01592
  18. Planck Collaboration: Y. Akrami, F. Arroja, M. Ashdown, et al. (2020). Planck 2018 results. IX. Constraints on primordial non-Gaussianity. Astronomy & Astrophysics 641, A9. DOI: 10.1051/0004-6361/201935891. https://arxiv.org/abs/1905.05697
  19. P. Jishnu Sai, S. R. Haridev, Rajeev Kumar Jain (2026). Inflationary trispectrum of gauge fields from scalar and tensor exchanges. JCAP 2026, 032. DOI: 10.1088/1475-7516/2026/06/032. https://arxiv.org/abs/2509.11143