Pulse Core Lexicon
Dimensional Multiplicity Factor
Definition
The Dimensional Multiplicity Factor (k) is the scaling coefficient in the extended dimensional formula that multiplies the base dimensional emergence term, accounting for multiple contributing dimensional sources.
In the Extended Dimensional Formula, the base term log₂(ℜ(n)) = n, by which each doubling of data capacity unlocks one degree of freedom, is scaled by k, and a historical term adds the size of the Data Memory of every level weighted by 2⁻ⁱ. The book reads the result as grounding the dimensionality of the universe in recursive scaling under harmonic law: each additional axis arises from compounded resonance of prior states, and historical contributions preserve coherence across levels. The observed 3+1 structure is what recursive growth presents at our depth; what binds it there is an open question of the theory.
In ◉(n,k) = k × log₂(ℜ(n)) + Σᵢ₌₁ⁿ |ↁ𝓜(i)|/2ⁱ, k is the dimensional multiplicity factor [∅], ◉(n,k) the extended dimensional capacity, n the count of completed pulses, ℜ(n) = 2ⁿ the total data capacity, |ↁ𝓜(i)| the size of the Data Memory at level i and 2ⁱ the exponential weighting base; all are dimensionless: [∅] = [∅] × [∅] + Σ [∅]/[∅] = [∅].
It connects to Extended UniSphereal Dimensional Framework, Historical Dimensional Contributions, Dimensional Growth Formula, UniSphereal Dimensional Capacity and Attractor States.
Mathematical Expression
From the book · Chapter 1 · Recursive Amplification and Dimensional Genesis
◉(n,k) = k × log₂(ℜ(n)) + Σᵢ₌₁ⁿ |ↁ𝓜(i)|/2ⁱ
Where:
- ◉(n,k) [∅] – Extended Dimensional Capacity; total geometric degrees of freedom with multiplicity and historical contributions
- k [∅] – Dimensional multiplicity factor; scaling coefficient for base dimensional emergence
- n [∅] – count of completed pulses
- ℜ(n) [∅] – total data capacity, ℜ(n) = 2ⁿ
- log₂ [∅] – Binary logarithm; scaling law of dimensional emergence
- Σᵢ₌₁ⁿ [∅] – Summation operator from i=1 to n; accumulative historical integration
- |ↁ𝓜(i)| [∅] – size of the Data Memory at level i; historical computational state contribution
- i [∅] – Summation index variable; discrete counter for historical levels
- 2ⁱ [∅] – exponential weighting base
Technical Details
Category Property
Chapter Chapter 1
Importance