English

Continuous Sensitivity Analysis for $\delta N$ Formalism

General Relativity and Quantum Cosmology 2026-03-31 v1 High Energy Physics - Theory

Abstract

The δN\delta N formalism provides a powerful non-perturbative framework for following the evolution of primordial curvature perturbations on super-horizon scales. However, its standard implementation relies on the separate universe assumption, which neglects significant spatial gradient interactions. Recent work has addressed this limitation by incorporating gradient interactions directly into the background dynamics through an effective source term in the Klein--Gordon equation, thereby extending the applicability of the δN\delta N framework beyond the separate universe approximation. Despite this conceptual progress, practical calculations within the δN\delta N formalism remain technically challenging, as cosmological observables require evaluating the sensitivity of the total number of ee-folds to initial conditions, a task that becomes even more involved once gradient contributions are included. In this work, we develop a systematic method to simplify these calculations by applying Continuous Sensitivity Analysis to the gradient-corrected δN\delta N framework. In this approach, the required phase-space derivatives are obtained by solving a set of coupled first-order differential equations for the field Jacobian and Hessian, which significantly streamlines both analytical and numerical evaluations of δN\delta N formalism. As an explicit demonstration, we apply the method to the Starobinsky model, which features a sharp transition into an ultra-slow-roll phase. Within this setup, we derive analytical expressions for the kk-dependent power spectrum including full gradient corrections, and obtain an analytical estimate of the equilateral non-Gaussianity parameter fNLeqf_{\rm NL}^{\rm eq} that accurately captures the gradient-sourced contributions.

Keywords

Cite

@article{arxiv.2603.27366,
  title  = {Continuous Sensitivity Analysis for $\delta N$ Formalism},
  author = {S. Mohammad Ahmadi},
  journal= {arXiv preprint arXiv:2603.27366},
  year   = {2026}
}

Comments

39 pages, 3 figures

R2 v1 2026-07-01T11:42:26.151Z