Tamesis Research Program — Phase 4 — 2026

Orbit-Induced Redundancy in Finite Symbolic Systems

Douglas H. M. Fulber
Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
(Dated: April 27, 2026)
Abstract We study how the action of a finite symmetry group $G$ over a symbolic grid $\Sigma^{n^2}$ induces structural redundancy, dimensional compression, reading-direction invariance, and passive recovery under noise. Motivated by the Sator Square, we formalize these mechanisms across finite group actions on square grids. We prove an exact identity for the information action $\mathcal{A}[M,G]$, determined by the number of orbits of $G$, and introduce transition entropy as a non-trivial diagnostic separating weakly constrained systems from structurally rigid ones. Computational experiments over representative finite groups provide evidence that baseline-corrected recovery is better predicted by $d_{\min}^{\mathrm{orb}}(G)$, the size of the smallest non-trivial orbit, than by the group order $|G|$. The Sator Square is thereby reframed as a minimum-complexity historical example of an orbit-constrained symbolic system rather than an isolated mathematical anomaly.

I. Introduction and Motivation

When an informational space is constrained by symmetry, its degrees of freedom are drastically reduced. Instead of evaluating independent properties, any localized analysis observes facets of a globally locked structure. In linguistic and historical contexts, the Sator Square ($5 \times 5$ Latin word square) operates under such a robust geometric symmetry that reading operations from multiple origins yield the identical token sequence.

The objective of this paper is to abstract the mechanism of the Sator Square from its historical context and propose a formal generalization: Geometric symmetry induces orbital redundancy, orbital redundancy induces informational invariance, and informational invariance offers passive protection against noise.

We systematically formalize the actions of finite groups (such as $\{e\}$, $\mathbb{Z}_2$, $\mathbb{Z}_4$, the Klein four-group, $D_4$, and $D_8$) on a square grid. We measure how these abstract symmetries collapse the entropy of the matrices, force invariance under transition metrics, and provide robust structural recovery purely via orbital constraints, without invoking active classical error-correction mechanisms.

II. Finite Groups on Symbolic Grids

II.1 Definitions and Orbits

Let $[n]^2 = \{(i,j): 0 \le i,j < n\}$ represent the coordinate grid, and let $\Sigma$ be a finite alphabet of symbols ($|\Sigma| = 26$). A matrix is a mapping $M: [n]^2 \to \Sigma$. We consider the action of a finite group of symmetries $G \curvearrowright [n]^2$ representing permutations of the grid coordinates (such as transpositions and rotations).

Definition 1 (Fixed-Point Space and Orbits). We denote the fixed-point subspace as $\mathrm{Fix}(G) = \{ M \in \Sigma^{n^2} : g(M) = M \;\forall g \in G \}$. The action of $G$ partitions $[n]^2$ into disjoint equivalence classes called orbits. The total number of independent symbol assignments required to construct any $M \in \mathrm{Fix}(G)$ is exactly $k = |\mathrm{orbits}(G)|$.

A matrix $M$ belonging to $\mathrm{Fix}(G)$ is highly redundant. If $\mathcal{O} \in \mathrm{orbits}(G)$ has $|\mathcal{O}| > 1$, a single symbol choice populates multiple coordinates simultaneously. The structure behaves as a rigidly constrained lattice.

III. Orbit-Induced Compression

III.1 Unconstrained vs Symmetric Entropies

The unconstrained symbolic space possesses volume $|\Sigma|^{n^2}$ and total maximum entropy $H_{\max} = n^2 \log_2|\Sigma|$. Under symmetry $G$, the effective dimension drops to $|\Sigma|^{|\mathrm{orbits}(G)|}$. We define the symmetry compression ratio as $\kappa(G,n) = |\mathrm{orbits}(G)| / n^2$.

A naive application of Burnside-style counting suggests that the number of orbits might be bounded below by $n^2 / |G|$, implying $\kappa \ge 1/|G|$. However, computational evaluation over various finite groups demonstrates this is a weak assumption. For example, specific instances like $\mathbb{Z}_2 \times \mathbb{Z}_2$ (acting via transposition and horizontal reflection) achieve $\kappa = 0.24 < 1/4$ at $n=5$. This refutes the naive bound inspired by Burnside-style orbit counting, not Burnside's lemma itself. Therefore, the specific geometric topology of the fixed points controls compression to a greater degree than the standalone group order.

IV. The Information Action

We formalize the entropy lost to structural rigidity via the Information Action.

Definition 2 (Information Action). Let $H(M)$ be the bits required to specify the matrix. The action of group $G$ reduces this uncertainty. $$\mathcal{A}[M, G] = H_{\max} - H(M \mid G) = (n^2 - |\mathrm{orbits}(G)|) \log_2 |\Sigma|$$

Table I lists the calculated action $\mathcal{A}$ for assorted groups. The action is an exact metric of the "cost" paid in entropy to maintain global symmetry. Interestingly, an increase in $|G|$ does not strictly guarantee maximum action if the operators leave large sections of the grid invariant.

Table I. Information Action $\mathcal{A}[M,G]$ and Compression Ratio $\kappa$ ($n=5, \Sigma=26$).
Group $G$ $|G|$ $|\mathrm{orbits}(G)|$ $\kappa$ $\mathcal{A}$ (bits)
Trivial $\{e\}$1251.000.00
$\mathbb{Z}_2$ (T)2150.6047.00
Klein $G_0$ (T, R180)490.3675.21
$\mathbb{Z}_4$ (R90)470.2884.61
$D_4$ (R90, T)860.2489.31

V. Non-Trivial Entropy Invariance

V.1 Marginal vs. Transition Entropy

A canonical property of the Sator Square is reading-direction invariance. We generalize this by reading $M \in \mathrm{Fix}(G)$ in standard sequence (e.g., Left-to-Right, Top-to-Bottom). We denote these directional sequences as $\mathcal{D}$.

Measuring simple marginal Shannon entropy $H_{\text{freq}}$ over these sequences is trivial; by definition, structural transpositions equate rows and columns, leading to a variance $\mathrm{Var}(H_{\text{freq}}) = 0$. This tests nothing beyond the axioms. We introduce a more rigorous metric: transition entropy $H_{\text{trans}}$, measuring the conditional uncertainty of bigrams $H(X_{t+1}|X_t)$.

Observation (Transition Invariance). While all symmetric matrices exhibit trivial $H_{\text{freq}}$ invariance, only highly structured groups force $H_{\text{trans}}$ invariance.

In EXP-17, groups like $D_4$, $D_8$, and Klein $G_0$ forced $\mathrm{Var}(H_{\text{trans}}) \to 0$, indicating that not only the symbols, but their adjacency structures are rotationally/isotropically locked. Trivial and weak $\mathbb{Z}_2$ groups failed this strict constraint, showing measurable variance across directions. This effectively filters purely mathematically trivial groups from those producing deep orbital rigidity.

Table II. Marginal vs Transition Entropy Variance (EXP-17, average over 500 matrices).
Group $G$ $\overline{\mathrm{Var}(H_{\text{freq}})}$ $\overline{\mathrm{Var}(H_{\text{trans}})}$
Trivial $\{e\}$$\sim 0$ (trivial)$2.9 \times 10^{-3}$
$\mathbb{Z}_2$ (T)$\sim 0$ (trivial)$3.5 \times 10^{-3}$
Klein $G_0$$\sim 0$ (trivial)$\approx 9.9 \times 10^{-4}$
$D_4$ (R90, T)$\sim 0$ (trivial)$0.0$

VI. Passive Structural Recovery

VI.1 Isfet/Ma'at Model and the Adjusted Baseline

Symmetry induces redundancy capable of withstanding noise. We utilize a targeted corruption model: Isfet corrupts exactly $t$ uniformly selected positions with random replacement overriding symbols. A passive recovery operator, Ma'at, surveys the matrix and replaces each cell with the majority-vote symbol among its formally mandated orbit peers.

If no structural relationships exist, the expected fraction of uncorrupted cells forms our baseline: $\rho_{\text{baseline}}(t) = (n^2-t)/n^2$. For the trivial group $\{e\}$ at $t=1$, this evaluates to 96%. To measure true structural benefit, we calculate $\delta\rho(t) = \rho_{\mathrm{Fix}(G)}(t) - \rho_{\text{baseline}}(t)$.

True Structural Recovery vs Corruptions
Figure 1. (EXP-16) Passive structural recovery. Left: raw recovery $\rho(t)$. Center: baseline-corrected structural benefit $\delta\rho(t)$. Note that trivial groups hover near $\delta\rho = 0$, validating the baseline. Highly symmetric groups like $D_4$ attain massive positive benefit.

VII. The Minimum Orbit Distance $d_{\min}^{\mathrm{orb}}$ as a Universal Predictor

The resilience of the system is not predicted linearly by the group's order $|G|$ but by its weakest internal linkage.

Definition 3 (Minimum Orbit Distance). We define the governing structural distance as the size of the smallest non-trivial orbit: $$d_{\min}^{\mathrm{orb}}(G) = \min_{\substack{O \in \mathrm{orbits}(G) \\ |O| > 1}} |O|$$

Table III summarizes empirical recovery values and $d_{\min}^{\mathrm{orb}}$. Both $D_8$ ($|G|=16$) and $\mathbb{Z}_4$ ($|G|=4$) possess $d_{\min}^{\mathrm{orb}} = 4$, and consequently, both deliver virtually identical structural benefit $\delta\rho \approx +0.038$.

Table III. The $d_{\min}^{\mathrm{orb}}$ parameter vs empirical benefit $\delta\rho(t=1)$.
Group $G$ $|G|$ $d_{\min}^{\mathrm{orb}}$ $\delta\rho(t=1)$
Trivial $\{e\}$11+0.000
$\mathbb{Z}_2$ (T)22-0.002
Klein $G_0$42+0.023
$\mathbb{Z}_4$ (R90)44+0.038
$D_4$ (R90, T)84+0.039
$D_8$ (R90, T, Rh)164+0.038
Empirical Finding 1 (Orbital Predictor). Across the evaluated finite group actions, $d_{\min}^{\mathrm{orb}}$ is the strongest observed predictor of baseline-corrected structural recovery. It predicts structural recovery capability better than standalone group order metrics.

VIII. The Sator Square as a Minimum-Complexity Historical Example

The Sator Square is governed by the Klein group $G_0$ representing simultaneous transpose equality and 180° rotational symmetry. Sitting at $d_{\min}^{\mathrm{orb}} = 2$, it is neither maximally compressed nor maximally error-resilient. Rather, it represents the minimum complexity threshold at which orbit-induced redundancy manifests non-trivial structural benefit and absolute invariance metrics.

This realization demystifies its existence over linguistic history: it is the simplest group-action construction that supports simultaneous multi-directional reading coherence without requiring complex non-abelian group symmetries, which would be insurmountably sparse in natural language lexicons.

IX. Discussion and Future Extensions

This computational and formal framework presents an abstraction of redundancy originating in symbolic arrays over a finite alphabet. In future developments, these formalized orbit-induced properties may be compared, at a formal level, with localized quantum physical structures and holography analogs.

Particularly, under speculative formal analogies, $d_{\min}^{\mathrm{orb}}$ mirrors the role of physical protection layers in stabilizer codes, and the structural density metric $\kappa$ resembles boundary-bulk ratios inherent to discrete lattice variants of AdS/CFT holography. Validating any physical correspondence demands precise falsifiable mappings, representing a distinct investigative phase.

References

  1. Fulber, D. H. M. The Sator Square as a Zero-Entropy Symbolic Structure: Symmetry, Information Theory, and the Klein Group. Tamesis Program (2026).
  2. Burnside, W. Theory of Groups of Finite Order. Cambridge University Press (1897).
  3. Shannon, C. E. A Mathematical Theory of Communication. Bell System Technical Journal 27 (1948).
  4. Kitaev, A. Fault-tolerant quantum computation by anyons. Annals of Physics 303 (2003).
  5. Cover, T. M., Thomas, J. A. Elements of Information Theory. Wiley (2006).