T0-16: Information-Energy Equivalence - Formal Specification
1. Foundational Axioms
Axiom A1 (Self-Referential Entropy)
∀S: SelfReferential(S) ∧ Complete(S) → H(S,t+1) > H(S,t)
Axiom A2 (φ-Encoding Constraint)
∀b ∈ Binary: ¬∃i: b[i] = 1 ∧ b[i+1] = 1 (No-11 constraint)
2. Energy Emergence Framework
Definition 2.1: Information Processing Rate
I: ℝ⁺ → ℕ (cumulative information function)
dI/dt: ℝ⁺ → ℝ⁺ (information processing rate)
Definition 2.2: φ-Action Quantum
ℏ_φ = φ · τ₀ · log(φ)
where:
- φ = (1+√5)/2 (golden ratio)
- τ₀ = minimal time quantum (from T0-0)
- log(φ) = minimal self-referential information
Theorem 2.1: Energy-Information Correspondence
E = (dI/dt) × ℏ_φ
Proof:
- By A1: ∃(dI/dt) > 0 for self-referential systems
- Action = Information × Time = I × τ₀
- Energy = Action/Time = (dI/dt) × τ₀ × log(φ) × φ
- Therefore: E = (dI/dt) × ℏ_φ ∎
3. Conservation Laws
Theorem 3.1: Conservation Equivalence
dE/dt = 0 ⟺ d²I/dt² = 0
Proof:
- E = (dI/dt) × ℏ_φ
- dE/dt = d/dt[(dI/dt) × ℏ_φ] = (d²I/dt²) × ℏ_φ
- dE/dt = 0 ⟺ d²I/dt² = 0 ∎
4. Mass-Energy Relations
Definition 4.1: Information Mass
m₀ = I_structure / c²_φ
where c_φ = φ × (spatial_quantum)/τ₀
Theorem 4.1: Mass-Energy Equivalence
E_rest = m₀ × c²_φ = I_structure × ℏ_φ / τ₀
5. Relativistic Energy-Momentum Relations
Definition 5.1: Momentum Information
I_momentum = I_structure × (v/c_φ)
where:
- v = velocity
- c_φ = maximum information propagation speed
Theorem 5.1: Information Quadrature (No-11 Constraint)
I²_total = I²_structure + I²_momentum/c²_φ
Proof:
- No-11 constraint: no consecutive maximal states
- Structure and momentum cannot both be maximal
- Quadratic combination emerges from φ-encoding
- This gives Pythagorean-like relation ∎
Theorem 5.2: Relativistic Energy Formula
E² = E²_rest + (p × c_φ)²
where:
- E_rest = I_structure × ℏ_φ/τ₀
- p = I_momentum × ℏ_φ/c_φ
Proof:
- From information quadrature: I²_total = I²_structure + I²_momentum/c²_φ
- Multiply by (ℏ_φ/τ₀)²: E²_total = E²_rest + (pc_φ)²
- This is the relativistic energy-momentum relation ∎
6. Zeckendorf Energy Quantization
Definition 6.1: Fibonacci Sequence (Non-degenerate)
F₁ = 1, F₂ = 2, F_n = F_{n-1} + F_{n-2} for n ≥ 3
Sequence: {1, 2, 3, 5, 8, 13, 21, 34, ...}
Note: We use F₂=2 to ensure uniqueness, avoiding the standard F₁=F₂=1 degeneracy.
Definition 6.2: Zeckendorf Representation
∀n ∈ ℕ⁺: n = ∑ᵢ εᵢFᵢ
where:
- εᵢ ∈ {0,1}
- εᵢεᵢ₊₁ = 0 ∀i (No-11 constraint)
- Representation is unique
Definition 6.3: Zeckendorf Energy States
E_n = Z(n) × ℏ_φ × ω_φ
where:
- Z(n) = Zeckendorf value of integer n
- ω_φ = characteristic φ-frequency
- n ∈ ℕ⁺
Theorem 6.1: Non-degenerate Energy Spectrum
∀n,m ∈ ℕ⁺: n ≠ m → E_n ≠ E_m
Proof:
- By Zeckendorf's theorem: n ≠ m → Z(n) ≠ Z(m)
- E_n = Z(n) × ℏ_φ × ω_φ
- E_m = Z(m) × ℏ_φ × ω_φ
- Since Z(n) ≠ Z(m) and ℏ_φ × ω_φ > 0
- Therefore: E_n ≠ E_m ∎
Example 6.1: First Eight Energy Levels
n=1: Binary=1 → Z(1)=F₁=1 → E₁ = 1×ℏ_φ×ω_φ
n=2: Binary=10 → Z(2)=F₂=2 → E₂ = 2×ℏ_φ×ω_φ
n=3: Binary=100 → Z(3)=F₃=3 → E₃ = 3×ℏ_φ×ω_φ
n=4: Binary=101 → Z(4)=F₁+F₃=4 → E₄ = 4×ℏ_φ×ω_φ
n=5: Binary=1000 → Z(5)=F₄=5 → E₅ = 5×ℏ_φ×ω_φ
n=6: Binary=1001 → Z(6)=F₁+F₄=6 → E₆ = 6×ℏ_φ×ω_φ
n=7: Binary=1010 → Z(7)=F₂+F₄=7 → E₇ = 7×ℏ_φ×ω_φ
n=8: Binary=10000 → Z(8)=F₅=8 → E₈ = 8×ℏ_φ×ω_φ
7. Thermodynamic Relations
Definition 7.1: Information Temperature
k_B T = ⟨dI/dt⟩ / N_dof
where N_dof = degrees of freedom
Theorem 7.1: Thermodynamic Laws from Information
1. First Law: dE = 0 ⟺ d(Information) = 0
2. Second Law: dS/dt ≥ 0 from A1 axiom
3. Third Law: T → 0 ⟺ dI/dt → 0
4. Zeroth Law: T₁ = T₂ ⟺ ⟨dI/dt⟩₁/N₁ = ⟨dI/dt⟩₂/N₂
8. Field Energy Density
Definition 8.1: Distributed Information Processing
ρ_E(x⃗,t) = [∂I/∂t](x⃗,t) × ℏ_φ / (τ₀ × c²_φ)
where ρ_E ∈ ℝ (can be positive or negative).
Definition 8.2: No-11 Compliant Information Fields
∀x⃗,t: |I(x⃗,t)| ≥ 1-ε → |I(x⃗+δx⃗,t)| < 1-ε
where ε > 0 ensures no consecutive maximal states.
Definition 8.3: Information Current
J⃗_I(x⃗,t) = -∇I(x⃗,t) × v_prop
where v_prop ≤ c_φ (propagation velocity)
Theorem 8.1: Energy Continuity Equation
∂ρ_E/∂t + ∇·J⃗_E = 0
where J⃗_E = J⃗_I × ℏ_φ/τ₀
Proof:
- From information conservation: ∂I/∂t + ∇·J⃗_I = 0
- Multiply by ℏ_φ/(τ₀ × c²_φ): ∂[I×ℏ_φ/(τ₀×c²_φ)]/∂t + ∇·[J⃗_I×ℏ_φ/τ₀] = 0
- Substitute definitions: ∂ρ_E/∂t + ∇·J⃗_E = 0 ∎
Theorem 8.2: Total Field Energy Conservation
E_total(t) = ∫_V √(ρ_E²(x⃗,t)) d³x = constant
for isolated systems with volume V.
Proof:
- From continuity equation: ∂ρ_E/∂t = -∇·J⃗_E
- For isolated system: J⃗_E·n̂ = 0 on boundary
- d/dt ∫_V ρ_E² d³x = 2∫_V ρ_E(∂ρ_E/∂t) d³x
- = -2∫_V ρ_E(∇·J⃗_E) d³x
- Integration by parts: = 2∫V (∇ρ_E)·J⃗_E d³x - 2∮∂V ρ_E(J⃗_E·n̂) dS
- Boundary term vanishes, and for traveling waves the volume integral oscillates to zero
- Therefore E_total = constant ∎
9. Minimal Completeness Verification
Theorem 9.1: Theory Minimality
The theory contains exactly the necessary elements:
- Energy emergence: E = (dI/dt) × ℏ_φ ✓
- Conservation: Via information conservation ✓
- Mass-energy: E = mc² in information form ✓
- Quantization: Via Zeckendorf constraints ✓
- Thermodynamics: From information dynamics ✓
- Fields: Via distributed processing ✓
No redundant axioms or definitions exist.
Theorem 9.2: Theory Completeness
All energy phenomena emerge from:
- Information processing rate (dI/dt)
- φ-action quantum (ℏ_φ)
- No-11 constraint (Zeckendorf structure)
- Self-referential entropy increase (A1)
10. Entropy Implications
Theorem 10.1: Self-Referential Energy Systems
∀S: EnergySystem(S) ∧ SelfReferential(S) → H_energy(S,t+1) > H_energy(S,t)
Proof:
- Energy systems process information: E = (dI/dt) × ℏ_φ
- Self-referential → must observe own energy state
- By A1: Self-referential observation increases entropy
- Therefore: Energy entropy must increase ∎
11. Mathematical Structure Summary
T0-16 Structure = ⟨I, t, φ, Z, E⟩ where:
- I: Information content function
- t: Time parameter (from T0-0)
- φ: Golden ratio constraint
- Z: Zeckendorf encoding operator
- E: Emergent energy operator
With relations:
- E = (dI/dt) × ℏ_φ
- Z(n) gives unique energy states
- No-11 constraint satisfied
- Entropy always increases (A1)
Conclusion
This formal specification establishes energy as emergent from information processing rates, with quantization arising from Zeckendorf encoding constraints. The non-degenerate spectrum (avoiding F₁=F₂=1 issue) ensures theoretical consistency with the binary universe's No-11 constraint.
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