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The raw matrix starts with diagonal values one, assigning each layer an explicit self-contribution. The constructor then divides every row by its row sum, so the stored diagonal is generally smaller than one. The value one describes initialization before normalization.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| C_ii | Self-coupling entry |
How it works
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Original context
Read the surrounding source passage
static constexpr size_t N = 7;
// Coupling matrix (row i = influences on layer i)
std::array<std::array<double, N>, N> coupling;
LayerCoupling() {
// Initialize with biologically-inspired coupling
// Diagonal = self-coupling (1.0)
// Off-diagonal = cross-layer influence
coupling = {{
// L1 L2 L3 L4 L5 L6 L7
{{ 1.0, 0.1, 0.0, 0.0, 0.0, 0.2, 0.3 }}, // L1: Quantum
{{ 0.1, 1.0, 0.3, 0.2, 0.0, 0.0, 0.1 }}, // L2: Genetic
{{ 0.0, 0.4, 1.0, 0.3, 0.1, 0.0, 0.0 }}, // L3: RNA
{{ 0.0, 0.2, 0.2, 1.0, 0.2, 0.0, 0.1 }}, // L4: Chromosomal
{{ 0.1, 0.1, 0.1, 0.2, 1.0, 0.4, 0.3 }}, // L5: Neural
{{ 0.2, 0.0, 0.0, 0.0, 0.5, 1.0, 0.4 }}, // L6: OscillatoryExact original notation
Diagonal = self-coupling (1.0)