pith. sign in
module module high

IndisputableMonolith.Foundation.HamiltonianEmergence

show as:
view Lean formalization →

The module shows how a quadratic Hamiltonian emerges from the J-cost for states near equilibrium. It defines SmallDeviationState with bond multipliers 1 + ε_i where |ε_i| is small and proves that totalJcost approximates a quadratic energy form. Researchers deriving classical mechanics from the recognition functional would cite these approximations. The structure consists of definitions and algebraic lemmas expanding the J-cost around unity.

claimFor states with bond multipliers $1 + \epsilon_i$ where $|\epsilon_i| \ll 1$, the total J-cost satisfies $\text{totalJcost} \approx \sum \epsilon_i^2$, yielding quadraticEnergy that generates the Hamiltonian via DiscreteEvolution.

background

The module imports JcostCore, which supplies the J-cost functional obeying the Recognition Composition Law. It introduces SmallDeviationState as the mathematical object for configurations near equilibrium where each bond multiplier equals 1 + ε_i with |ε_i| small. The local theoretical setting is the derivation of effective dynamics from the single functional equation of Recognition Science, with quadratic_emergence and totalJcost_approx_quadratic providing the bridge to classical energy.

proof idea

This is a definition module, no proofs. It organizes auxiliary objects such as quadraticEnergy, embed, DeviationHilbert, and DiscreteEvolution together with supporting lemmas including quadratic_emergence, per_bond_remainder_bounded, and totalJcost_approx_quadratic.

why it matters in Recognition Science

The module supplies the HamiltonianEmergence step that feeds DiscreteEvolution and H_HamiltonianIsGenerator. It fills the gap between the J-cost core and the generator of time evolution in the Recognition framework, linking directly to the eight-tick octave and the emergence of spatial dynamics.

scope and limits

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (13)