UNNS Recursive Physics & Geometry Explorer

Thermodynamics of Recursion • Spectral Geometry • Non-equilibrium Dynamics
⚡ ENERGY ◈ ECHO ∞ RECURSION

Thermodynamic Ensemble Explorer

📖 Theoretical Foundation
UNNS Canonical Ensemble

The UNNS thermodynamic framework treats recursive nests as microstates in a statistical ensemble. Each nest N ∈ N_k is characterized by coefficients, echo residues {e_n}, and spectral constants σ(N).

Definition: Energy Functional

An energy functional E: N_k → ℝ≥0 measures instability or complexity:

E_echo(N) = Σ w_n|e_n|²
E_spec(N) = dist(σ(N), O_K)²
E_comp(N) = ℓ(N)
Proposition: Thermodynamic Relation

Entropy satisfies: ∂S/∂⟨E⟩ = 1/T where T = 1/β is the UNNS temperature

Low E High E Energy Landscape
Z(β) = Σ exp(-βE(N))
1.0
1.0

Non-equilibrium Operator Dynamics

📖 Theoretical Foundation
Operator-Driven Evolution

Recursive operators act as stochastic maps N → N'. The system evolves under master equations with transition rates W(N → N'), producing entropy through non-equilibrium processes.

Definition: Entropy Production Rate

For operator evolution with transition rates W:

σ(t) = dS/dt + Σ J_N→N'(t) ln[W(N→N')/W(N'→N)]

where J_N→N' is the probability flux between states.

Lemma: Second Law for UNNS

For any operator evolution: ΔS_sys + ΔS_env ≥ 0

Stable Chaotic Inletting T₀ Repair r
σ(t) = dS/dt + Σ J ln(W→/W←)
0.5
0.3

Mandelbrot Recursion Axis

📖 Theoretical Foundation
Recursion as Orthogonal Dimension

The Mandelbrot set M ⊂ ℂ is reinterpreted through UNNS as having structure along a recursion axis orthogonal to the complex plane. The iteration z_{n+1} = z_n² + c generates a recursive grammar.

Definition: Recursion Axis

For recursive process z_{n+1} = f(z_n, c), the recursion axis is an abstract coordinate measuring iteration depth n, orthogonal to the embedding space ℂ.

Definition: UNNS Escape Entropy

Let τ(c) be the escape time for parameter c:

S(c) = log τ(c)

The boundary ∂M corresponds to divergence of S(c), forming an echo surface.

ℂ plane Recursion n ℜ(c) ℑ(c)
S(c) = log τ(c) • Recursion ⊥ Geometry
-0.5
0.0

UNNS Spectral Lattices

📖 Theoretical Foundation
Recurrence Coefficients as Spectral Data

UNNS recurrence relations generate algebraic structures that map to spectral operators on lattices. The Fibonacci sequence exemplifies this through its connection to quasicrystals.

Definition: Edge-weighted Lattice Map

Given UNNS coefficients {w_n}, construct discrete Laplacian:

(Lψ)_n = w_{n-1}ψ_{n-1} - (w_{n-1} + w_n)ψ_n + w_nψ_{n+1}

The spectrum reflects UNNS arithmetic structure.

Example: Fibonacci Lattice

For F_{n+1} = F_n + F_{n-1}, eigenvalues are φ = (1+√5)/2 and φ' = (1-√5)/2.

These define the spectral lattice underlying Penrose tilings and quasicrystal diffraction.

φ = 1.618... Spectral gaps
(Lψ)ₙ = wₙ₋₁ψₙ₋₁ - (wₙ₋₁ + wₙ)ψₙ + wₙψₙ₊₁
1.618
10

Phase Transitions & Fluctuations

📖 Theoretical Foundation
Critical Phenomena in Recursion

Phase transitions occur when control parameters (inletting rate T₀, repair strength r, noise η) cross critical curves where susceptibilities diverge.

Theorem: Critical Regime

There exist curves in parameter space (T₀, r, η) where:

C(β) = β²(⟨E²⟩ - ⟨E⟩²) → ∞
Jarzynski Equality for UNNS

Let W be operator work and ΔF free energy difference:

⟨exp(-βW)⟩ = exp(-βΔF)
Definition: Repair Work

Repair operators reduce system entropy but require work:

W_repair = d(N, R(N))

where d is a metric on nests and R(N) is the repaired state.

Inletting T₀ Repair r Stable Chaotic Critical
⟨e^(-βW)⟩ = e^(-β∆F) • C(β) → ∞
1.0
0.2
📚 References