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RTSG Definitions and Notation

Core Symbols

Symbol Name Definition
\(W\) Will field Primary field on consciousness space, \(W: CS \to \mathbb{C}\)
\(CS\) Consciousness Space Co-primordial space of thought and awareness
\(QS\) Quantum Space Co-primordial space of superposition and entanglement
\(PS\) Physical Space Co-primordial space of matter and energy
\(S[W]\) GL Action $\int(
\(U\) Understanding \(U = V/(E \times T)\) — value per unit effort per unit time
\(C\) Coherence matrix \(C_{ij} = \langle W_i \| W_j \rangle_{CS}\)
\(K\) K-Matrix Intelligence tensor over Gardner dimensions
\(Q\) BRST charge Nilpotent operator \(Q^2 = 0\) grading ghost number
\(L\) Laplacian Graph or manifold Laplacian \(L = D - A\)
\(K(t)\) Heat kernel \(K(t) = \text{tr}(e^{-tL})\)
\(\beta_k\) Betti numbers Rank of \(k\)-th homology group
\(\chi\) Euler characteristic \(\chi = \sum (-1)^k \beta_k\)
\(\mathcal{F}\) Grothendieck filter Idempotent endomorphism \(\mathcal{F} \circ \mathcal{F} = \mathcal{F}\)

Key Constants (Knowledge Graph)

Constant Value Meaning
\(n\) 2,476+ Total nouns in knowledge graph
\(r\) 6,813+ Total relations in knowledge graph
\(\lambda_2\) 0.0653 Fiedler value (algebraic connectivity)
\(\mu_1\) 1,728.6 Spectral radius (\(\approx 12^3\), modular discriminant)
\(\beta_0\) 765 Connected components
\(\beta_1\) 2,065 Independent cycles
\(\chi\) 1 Euler characteristic

Relation Types (34 Total)

The knowledge graph contains 34 distinct relation types forming a multiplex network:

Relation Count Description
relates_to 2,551 General semantic connection
dimensional_overlap 732 Shared Gardner dimension membership
requires 134 Logical dependency
is_a 121 Taxonomic hierarchy
produces 49 Causal output
contains 35 Compositional part-whole
part_of 33 Compositional membership
causes 16 Causal mechanism
connects 13 Structural bridge
co_occurs 10 Statistical co-occurrence

Terminology

Apology — The topological shape of what is missing. RTSG's knowledge graph has 3 dimensional holes (Musical, Interpersonal, Intrapersonal). The apology names them.

Compound dimension — Tensor product of two Gardner dimensions, e.g., \(d_S \otimes d_L\) (Spatial × Linguistic). 10 compounds exist from the 5 active dimensions.

Default filter — The identity Grothendieck filter; analogous to the brain's default mode network.

Descent data — Information required to reconstruct coherence after a filter transition (THMP protocol).

Dimensional hole — A Gardner dimension with zero nodes in the knowledge graph. Represents structural silence.

Fiedler bisection — Partition of the graph by the sign of the Fiedler eigenvector: 36 | 1,619 (asymmetric — dense core + long tail).

Ghost field — BRST degree-1 field representing unconscious constraints.

Heat kernel trace\(K(t) = \sum_i e^{-t\lambda_i}\). Counts active modes at timescale \(t\).

Ideagram — The engine's emoji-based response indicator.

Meta-Turing hierarchy — UTM₀ (tape) → UTM₁ (filtered) → UTM₂ (multiset) → UTM₃ (hypervisor) → UTM₄ (hive mind).

MFAL — Multiplex Federated Adjoint Lattice. The knowledge graph viewed as overlapping relation layers federated by Gardner dimension.

Negative space — The topology of what a filter removes. Has its own Betti numbers and eigenvalues.

Spectral radius — Largest eigenvalue of the adjacency matrix. \(\mu_1 = 1728.6 \approx 12^3\).

THMP — Protocol for navigating between Grothendieck filters without losing coherence.

Topos — A category with internal logic. Each Grothendieck filter defines a topos (its own universe of discourse).

See Also