Pulse Core Lexicon

Pulse Frequency Deceleration

Definition

Pulse Frequency Deceleration is the fall in pulse frequency with recursion depth, as the square of (n + 1), that follows from the accumulation of computational load in deeper substrate layers. It is the frequency side of the book's quadratic time scaling. Computational load grows as L_n = n(n+1)/2, processing time amplified through resonance becomes T_n ≈ T_0 × (n+1)², and correspondingly the pulse frequency drops by the same factor from its initial value. Together with the growing Information Processing Delay, this progressive deceleration drives a system toward the Collapse Threshold, and it is part of what the book calls Temporal Drag. The tick itself does not change: ν_n is the rate of a depth-n cycle that spans (n + 1)² fixed Planck ticks. The formal statement is ν_n = ν_0/(n + 1)² = √(𝒞→⁵/(ħ*G))/(n + 1)², where ν_n is the pulse frequency at recursion depth n, ν_0 the initial pulse frequency, 𝒞→ the speed of light, ħ the reduced Planck constant, G the gravitational constant and n the recursion depth index. Dimensions from the book's Where-list: ν_n and ν_0 [𝕋⁻¹], 𝒞→ [𝕃·𝕋⁻¹], ħ [𝕄·𝕃²·𝕋⁻¹], G [𝕄⁻¹·𝕃³·𝕋⁻²], n [∅]. It connects to the Prime Pulse, Recursive Pulse Cycle Time, Information Processing Delay, Collapse Threshold, Temporal Drag and Computational Load Accumulation.

Mathematical Expression

From the book · Chapter 7 · Temporal Drag and the Recursive Pulse Clock

ν_n = ν_0/(n + 1)² = √(𝒞→⁵/(ħ*G))/(n + 1)² [𝕋⁻¹]

Dimensional analysis:
[𝕋⁻¹]
[𝕋⁻¹] ÷ ([∅] + [∅])² = [𝕋⁻¹] ÷ [∅]² = [𝕋⁻¹] ÷ [∅] = [𝕋⁻¹]
√([𝕃⁵·𝕋⁻⁵] ÷ ([𝕄·𝕃²·𝕋⁻¹] × [𝕄⁻¹·𝕃³·𝕋⁻²])) ÷ ([∅] + [∅])² = √([𝕃⁵·𝕋⁻⁵] ÷ [𝕃⁵·𝕋⁻³]) ÷ ([∅] + [∅])² = √[𝕋⁻²] ÷ ([∅] + [∅])² = [𝕋⁻¹] ÷ ([∅] + [∅])² = [𝕋⁻¹] ÷ [∅]² = [𝕋⁻¹] ÷ [∅] = [𝕋⁻¹]
[𝕋⁻¹] = [𝕋⁻¹] = [𝕋⁻¹] ✓ Valid PulseCore Verified ✓

Technical Details

Category Concept

Chapter Chapter 7

Importance

Related Terms