Information Processing Delay

The Information Processing Delay is the lag in computational operations at recursion depth n, proportional to how close the accumulated computational load has come to the maximum the system can sustain. It belongs to the book's core temporal mechanics of Temporal Drag. Computational load grows as L_n = sum(k=1 to n) k = n(n+1)/2, processing time is amplified through resonance to T_n ≈ T_0 × (n+1)², and the pulse frequency decelerates as ν_n = ν_0/(n + 1)² = √(𝒞→⁵/(ħ*G))/(n + 1)². As the load approaches its maximum, processing delays lengthen, carrying the system toward the Collapse Threshold. Among the Chapter 7.4 testable predictions, this scaling is to be quantified in quantum computational systems through computational benchmarking. The formal statement is Δt⊶,n = T_0 × L_n/L⥣, where Δt⊶,n is the Information Processing Delay at depth n, T_0 the prime pulse duration, L_n the computational load and L⥣ the maximum sustainable computational load. Dimensions: Δt⊶,n [𝕋], T_0 [𝕋], L_n and L⥣ [∅]; the book's check is valid and verified. It connects to Pulse Frequency Deceleration, Computational Load Accumulation, the Collapse Threshold, Temporal Drag and the Temporal Drag Equation.