The Razumovsky Framework: Information-Driven Cosmic Expansion from Entropy Production under Twin Laws of Conservation

We present a cosmological framework in which dark energy emerges directly as the holographic thermodynamic cost of irreversible entropy and information production within our universe. The framework rests on two foundational boundary conditions—the Twin Laws of Conservation—that strictly enforce local conservation of energy and fundamental quantum information inside any existing universe while allowing new fundamental quantities to arise only at the birth of a new universe (bubble nucleation or analogous origin events). Dark energy density is expressed by the unifying equation ρDE (a) = β ˙Sᵢrr (a) /a³, where β is derived from M-theory flux compactifications and ˙Sᵢrr (a) is the observed irreversible entropy-production rate from astrophysical processes such as black-hole mergers and stellar dissipation. The microscopic realization is a single real scalar field trapped in a metastable false vacuum that undergoes slow “static-charge” buildup driven by a naturally derived tilt parameter. When a critical threshold is reached, quantum tunneling (Coleman–De Luccia instanton) or extra-dimensional leakage discharges the accumulated energy, nucleating a new causally disconnected bubble universe. The nucleation rate acquires an explicit time dependence Γ (t) ∝ t^-2 from Hubble suppression in the expanding background. All parameters are fixed by observables and string-theory UV completion. The model produces mild w (z) evolution consistent with DESI Data Releases 1 and 2, generates a transient early dark energy phase at z ≈ 3500 that simultaneously alleviates the Hubble and S₈ tensions, and predicts a distinctive stochastic gravitational-wave background featuring a softened infrared tail and a secondary mHz hump inside the projected LISA sensitivity band. Monte-Carlo simulations of the charge-discharge process confirm hierarchical bubble-universe formation with lengthening cycle lengths. We discuss falsifiability with forthcoming DESI, LISA, and CMB-S4 data. This preprint is also available on ai. viXra: https: //ai. vixra. org/abs/2604. 0092