Graeme Fawcett
We prove that the Born rule probability P = cos²θ is the unique probability-preserving map from p-adic branching distance to measurement correlation on a dendrogramic event structure. The argument proceeds geometrically rather than algebraically: two measurement settings correspond to addresses in a p-adic tree; the angle between them is determined by their branching separation as viewed from their common ancestor; cos²θ expresses projection overlap at that angle. Three axioms suffice — boundary conditions, monotonicity, and equivariance under tree automorphisms — with both the composition rule and continuity derived as consequences. The result is an independent uniqueness theorem in which self-similar recursion closes the dimension-2 gap that Gleason's theorem leaves open. The paper argues that the apparent incompatibility between general relativity and quantum mechanics dissolves when both theories are recognized as lossy compressions of a single underlying tree structure that disagree about its granularity. We propose that Planck's constant ℏ functions as the exchange rate between the depth and angle readings, determined by the branching sequence of the universe's event tree rather than serving as a free parameter.
The Dendrographic Hologram Theory developed by Shor, Benninger, and Khrennikov represents the universe as a growing dendrogram endowed with a p-adic ultrametric. In this framework, there is no background spacetime serving as a container for events. Events themselves are primary, and the relational structure between events constitutes the fundamental ontology. Spacetime, in this view, emerges as a derived projection rather than a primitive substrate.
The dendrogram carries two kinds of information simultaneously. The first is depth: the distance along the tree to a common ancestor, which encodes causal ancestry and hierarchical relationships between events. The second is angle: the separation between sibling branches at any given node, which encodes geometric relationships in physical space.
A central observation of this paper is that these two kinds of information are not separate structures imposed on the tree from outside. They are two readings of the same underlying combinatorial data. To access depth information, one walks toward the root of the tree, tracing the path of causal ancestry. To access angular information, one looks sideways at sibling branches, examining how they are arranged around their common parent. The tree itself, through its branching structure, provides both readings without requiring any additional apparatus.
Consider a node in a p-adic tree with branching number p. This node has p children, each representing a distinct branch of possibilities descending from that point. The question arises: what geometric relationship exists between these sibling branches?
The natural answer emerges from symmetry considerations. If p branches descend from a common parent, and no external structure distinguishes one branch from another, the branches can be arranged symmetrically around their parent. Visualizing the parent as the center of a circle and the p children as points on the circumference yields an angular separation of 2π/p between adjacent branches.
This observation extends to arbitrary depths. At depth n in a tree with uniform branching number p, there are pⁿ branches in total. The angular separation between any two branches that diverged at depth n, as viewed from the root, is determined by how many branches lie between them at that level multiplied by the minimum angular separation 2π/pⁿ.
The angular structure thus emerges from the branching combinatorics alone. The tree defines its own geometry through the number of branches at each level. No external embedding space is required to establish angular relationships. The tree is self-sufficient as a geometric object.
To make this precise: at each node, sibling branches are identified with equally spaced points on S¹, equivariant under permutation of siblings. The angle between two addresses is the induced S¹ distance at their least common ancestor. This is a canonical representation of p-adic branching data as angular data, not an arbitrary embedding into Euclidean 3-space.
This observation connects to existing work in the DHT literature. Khrennikov and collaborators have published circular diagrams depicting edges arranged at equal angular spacing around circles, with the number of edges decreasing at successive levels (N = 20, 10, 5 in their examples). They interpret these diagrams informationally, relating the angular arrangement to measures of indistinguishability between subsystems. The present paper proposes reading the same diagrams geometrically: the angular spacing between branches is the physical angle between the corresponding measurement settings or event locations.
The "enriched object" that the mathematical literature identifies as necessary for unification—a p-adic tree embedded in a space that supports angles—may therefore already exist in the tree itself. The enrichment consists of recognizing that the tree's branching structure induces angular geometry without external supplementation.
The Born rule in quantum mechanics assigns probabilities to measurement outcomes according to the squared magnitude of inner products between state vectors and measurement basis vectors. For measurements on a two-state system along axes separated by angle θ, the correlation between outcomes follows cos²θ.
This section proposes an interpretation of this correlation in terms of projection geometry on the dendrogram.
Consider two measurement settings as addresses in the p-adic tree. Each setting corresponds to a branch, and the two branches share some common ancestor at a particular depth. The angular separation between these branches, as established in Section 2, is determined by their position in the branching structure relative to that ancestor.
When two observers share a common ancestor but occupy different branches, each projects the information available at their shared origin through their respective branch. The question of how much overlap exists between their observations becomes a question of projection geometry.
For two unit vectors in a plane separated by angle θ, the squared magnitude of their inner product equals cos²θ. When θ equals zero, the vectors coincide and the overlap is unity. When θ equals π/2, the vectors are orthogonal and the overlap vanishes. The cos²θ function interpolates smoothly between these extremes.
The proposal is that this same relationship holds for branches of the dendrogram. Two observers who share a causal ancestor and subsequently diverge along different branches will have observations that overlap to a degree determined by the angular separation between their branches at the point of divergence. The cos²θ correlation emerges as a geometric consequence of projection through forking paths.
The boundary conditions support this interpretation. Identical measurement settings (θ = 0) correspond to identical branches, yielding perfect correlation (cos²0 = 1). Orthogonal measurement settings (θ = π/2) correspond to maximally separated branches, yielding no correlation (cos²(π/2) = 0). The correlation decreases monotonically with angular separation and normalizes correctly over a complete measurement basis, which corresponds to a complete set of branches at a given depth.
Gleason's theorem (1957) establishes that the Born rule is the unique probability measure on Hilbert spaces of dimension d ≥ 3. The restriction to d ≥ 3 is essential and well known: in dimension 2, non-Born frame functions exist that satisfy all of Gleason's constraints, and the uniqueness argument does not close. Every textbook treatment notes this gap.
A binary tree, where every node is a two-way split, maps directly to the dimension-2 case where Gleason fails. The local structure at each node is two-dimensional.
Three prior approaches close the dimension-2 gap by different means. Busch (2003) extends from projective measurements to POVMs, showing that a Gleason-type theorem holds for all dimensions including d = 2 when the measurement framework is generalized. Wright and Weigert (2019) achieve the same result using only projective-simulable measurements. A November 2025 preprint closes the gap by requiring consistency under tensor products for composite systems. All three remain within the Hilbert-space lattice-theoretic framework: they modify the class of allowed measurements or impose inter-system consistency, but the underlying mathematical structure remains a Hilbert space equipped with a lattice of subspaces.
This proof takes a conceptually distinct approach. It replaces the lattice structure of Hilbert space with the hierarchical structure of ultrametric spaces, and replaces noncontextuality with self-similar recursion. The ingredient that closes the dimension-2 gap is self-similar recursion: the same correlation function must apply at every depth, and the Chebyshev composition rule for combining depths must cohere with the boundary conditions. These constraints — satisfied trivially in a single-level space — become restrictive when applied across all depths simultaneously. Appendix A shows that the continuous solutions of the Chebyshev doubling equation a(2r) = 2a(r)² − 1 with boundary conditions a(0) = 1 and a(1) = 0 form a discrete family a(r) = cos((2n+1)πr/2), and monotonicity selects the fundamental mode n = 0.
The proof does not extend Gleason's theorem to ultrametric spaces. It establishes an independent uniqueness result in which recursive self-similarity plays the role that high-dimensional orthogonality plays in Gleason's original argument. The Born rule emerges not from the width of any single measurement space but from the depth of the tree. This provides a new physical mechanism — branching self-similarity forces cos² — rather than a new mathematical extension of Gleason's original proof strategy.
Let T be a self-similar p-ary tree with normalized branching distance r ∈ [0,1]. Define a correlation function g: [0,1] → [0,1] assigning to each normalized distance the correlation between branches at that separation, and define the amplitude a(r) = √g(r).
The theorem (proved in Appendix A) states that g is uniquely determined by four constraints:
A1 (Boundary conditions). g(0) = 1 and g(1) = 0. A branch is perfectly correlated with itself; maximally separated branches are orthogonal.
A2 (Monotonicity). g is non-increasing. Correlation does not increase with distance.
A3 (Self-similar composition). Ascending one level in a p-ary tree multiplies the normalized distance by p. The amplitude at the new distance is given by the p-th Chebyshev polynomial of the first kind: a(pr) = T_p(a(r)). For p = 2, this reduces to the doubling formula a(2r) = 2a(r)² − 1. This recursion is the tree-geometric form of the Godement equation for spherical functions on Gelfand pairs, which generalizes d'Alembert's cosine functional equation f(x+y) + f(x−y) = 2f(x)f(y) to non-abelian settings. The composition semigroup property T_{mn} = T_m ∘ T_n, a standard result in approximation theory, ensures consistency across scales. The "lower bound of the positive semidefinite interval" formulation — g(r₁ + r₂) = (√g(r₁)√g(r₂) − √(1−g(r₁))√(1−g(r₂)))² — is a consequence of this Chebyshev recursion applied to g = a², not the axiom itself.
A4 (Equivariance under tree automorphisms). The angular map θ respects the tree's automorphism group: vertical self-similarity (the same correlation function applies at every depth) and horizontal uniformity (sibling branches receive equal angular allocation).
Remark (continuity). Continuity of g is not assumed; it is derived. Monotonicity (A2) implies measurability. By Kannappan (1968), measurable solutions of d'Alembert's functional equation — of which the Chebyshev doubling formula is a special case — are automatically continuous. The pathological non-measurable solutions of a(2r) = 2a(r)² − 1 constructed via Hamel bases are therefore excluded by A2 without a separate continuity axiom.
Remark (equivariance on regular trees). On a (q+1)-regular homogeneous tree, equivariance under tree automorphisms is implied by the composition axiom A3: any function defined consistently via Chebyshev recursion at every branch point is automatically radial, because the tree's regularity ensures all paths of equal length are equivalent under automorphisms. A4 is stated separately for generality — it becomes a non-trivial constraint on irregular trees or trees with additional structure.
The unique solution is g(r) = cos²(πr/2). The key mathematical identity is T_p(cos θ) = cos(pθ) — the defining property of Chebyshev polynomials — which converts the self-similar branching structure of the tree into the trigonometric structure of the Born rule. The mapping θ = πr/2 sends normalized distance to angle, and the Born rule emerges as a theorem of self-similar branching rather than an axiom of quantum mechanics.
Bell's theorem, published in 1964, establishes that no theory satisfying local realism can reproduce the quantum mechanical predictions for entanglement correlations. Specifically, the correlations predicted by quantum mechanics are too strong to be explained by any model in which measurement outcomes are determined by local hidden variables distributed according to a classical probability measure.
The standard interpretation of Bell's theorem invokes nonlocality: the measurement on one particle instantaneously influences the outcome at the other particle, regardless of spatial separation. This interpretation has generated extensive philosophical debate about the nature of quantum correlations.
An alternative interpretation emerges from the present framework. Bell's proof assumes that hidden variables are distributed according to a single global Kolmogorov probability space. Local hidden variable models constructed on such a space predict correlations linear in the angle between measurement settings. The observed correlations follow cos²θ, which is nonlinear. What the present framework replaces is not the experimental lab geometry—the measurement settings really do live in Euclidean 3-space—but the probability model for hidden variables.
The violation of Bell inequalities may therefore indicate that the space of events has a geometry differing from the flat geometry assumed by local hidden variable models. An ultrametric tree with its branching-induced angular structure provides precisely such a geometry. The p-adic ultrametric is non-Archimedean, and projection through a non-Archimedean structure yields the nonlinear correlations Bell observed.
Khrennikov demonstrated in 1995 that Bell inequality violations are consistent with a p-adic hidden variable model. More recently, the DHT collaboration showed numerically that CHSH violations appear when data is clustered into simple dendrograms and vanish as dendrogram complexity increases. These results support the geometric interpretation: Bell violations emerge from the tree's non-flat geometry rather than from nonlocal influences.
In the dendrogramic interpretation, an entangled pair of particles shares a common causal ancestor in the event tree. The preparation event that creates the entangled state is a node from which two branches descend, one for each particle's subsequent history.
The correlations observed when measuring the two particles are determined by the angular separation between the measurement settings as viewed from this shared ancestor. The correlation strength depends on how much of the ancestral information each measurement branch projects.
Crucially, no information needs to propagate between the particles after their paths diverge. The correlation was established at the preparation crossing and is carried forward along each branch independently. The measurement outcomes are correlated because they are both projections of the same ancestral event, not because one measurement influences the other.
This dissolves the apparent nonlocality. The correlations appear "spooky" only if one assumes the particles are independent entities whose coordination requires ongoing communication. In the dendrogramic view, they were never independent: they are two branches of a single subtree, and their correlation is a structural feature of that shared ancestry.
The dendrogramic interpretation generates a testable prediction: entanglement correlations should factorize into two independent components.
The first component is causal ancestry, quantified by the branching depth of the shared ancestor. Deeper shared ancestry (smaller p-adic distance) yields stronger potential correlation. The second component is angular geometry, quantified by the separation between measurement settings. Greater angular separation yields weaker projection overlap.
Bell violations require both components. Without shared ancestry (no entanglement), correlations at any angular separation remain classical. Without angular separation (identical measurement settings), correlations at any depth of shared ancestry reach unity. The characteristic cos²θ nonlinearity emerges only when both factors are present.
This factorization is in principle testable. The prediction is that the deviation from classical correlations should scale with both the entanglement strength (a proxy for depth of shared ancestry) and the angular separation between measurement settings in a manner consistent with the product structure. A direct test would require varying entanglement strength systematically across trials while holding angular separation constant, then checking whether correlation scales linearly with the ancestry-depth factor.
Any physicists out there married to a platform engineer, ask them to explain why you can't use an AVG() function on a counter metric.
The incompatibility between general relativity and quantum mechanics has motivated decades of research into quantum gravity. The two theories employ incompatible mathematical structures (smooth manifolds versus Hilbert spaces), assign different roles to time (a coordinate versus a parameter), and describe measurement differently (passive observation versus active collapse).
The dendrogramic framework suggests a reinterpretation of this incompatibility. The two theories are not missing opposite halves of the tree. They disagree about its granularity.
General relativity takes both readings of the tree — depth and angle — and smooths them into a continuous manifold. Causal structure survives as lightcones. Geometric structure survives as curvature. What is lost is the discreteness: the branching events, the individual crossings, the append-only record. The result is a continuous spacetime with deterministic evolution, where the tree's discrete structure has been averaged into a differentiable geometry.
Quantum mechanics retains the discrete event structure — eigenvalues click, measurements produce definite outcomes, state changes are discontinuous. But the smooth spatial embedding is gone. Position and momentum become non-commuting operators rather than coordinates on a manifold. Correlations that appear nonlocal arise because the continuous geometry that would reveal the particles' proximity in the tree has been replaced by an algebraic structure that does not encode it.
The two theories fail to unify because the smoothing that gives general relativity its power destroys the discreteness that quantum mechanics requires, and the discreteness that gives quantum mechanics its explanatory reach is incompatible with the continuity general relativity assumes. Attempting to derive one from the other amounts to trying to recover the raw event log from an aggregated dashboard — or equivalently, to reconstruct counter-resolution data from gauge-resolution summaries. The information has been irreversibly compressed. You cannot take the average of a counter metric and expect it to recover the individual events that produced it.
This is the structural content of Bell's theorem, as described in Section 4: the correlations are local in the tree but appear nonlocal in QM's compression because the compression discarded the geometric proximity that would explain them.
The Heisenberg uncertainty principle states that position and momentum cannot be simultaneously specified with arbitrary precision. The product of their uncertainties is bounded below by ℏ/2.
In the dendrogramic framework, this limitation admits a structural interpretation. Specifying depth with precision constrains angular information, and specifying angle with precision constrains depth information. The two readings covary because the tree from which they derive is not a product space.
At depth n with branching number p, there are pⁿ distinguishable branches. The angular resolution available at that depth is 2π/pⁿ. Committing to a precise depth therefore limits how finely angles can be resolved. Conversely, resolving angles to precision finer than 2π/pⁿ requires accessing depths beyond n.
Halvorson's 2001 theorem makes this precise in the standard quantum formalism. He proves that in any representation of the canonical commutation relations satisfying regularity conditions, if position has eigenstates then momentum does not exist as an operator, and vice versa. The two observables literally cannot coexist as sharp quantities in the same representation.
The dendrogramic interpretation of this result is that the depth projection and the angle projection do not commute. One cannot perform both projections simultaneously with arbitrary precision because they extract correlated information from a shared underlying structure.
Attempts to quantize gravity—to apply the quantum formalism to the gravitational field—have not succeeded despite decades of effort. Loop quantum gravity, string theory, and other approaches have achieved partial results but no complete theory.
We propose that the dendrogramic framework provides a structural reason for this difficulty. General relativity has already smoothed the underlying tree into a continuous manifold of unique spacetime points. Each point satisfies the Leibniz identity of indiscernibles: it is distinguishable from every other point and admits only the trivial probability distribution (each event has probability 1/N as N approaches the continuum).
Attempting to apply quantum mechanics to this output means attempting to recover the discrete structure from the continuous manifold and is a category error. In operational terms, it is like attempting to recover the individual counter events from a dashboard that shows the rate at which they were received.
A successful unification would require working with the dendrogram directly, prior to either compression. The tree provides the conversion function: Planck's constant, as we propose in Section 6, is the exchange rate between the two readings. Work with the tree.
If depth and angle are two readings of the same underlying tree, some conversion factor must relate them. This section proposes that Planck's constant ℏ serves this function.
Depth is measured in units of branching level. Angle is measured in radians. The relationship between them—pⁿ branches at depth n yields angular resolution 2π/pⁿ—implies a specific conversion between depth units and angular units. Planck's constant, in this interpretation, is not a fundamental constant imposed on physics from outside. It is an internal unit conversion expressing the relationship between the two ways of reading the dendrogram.
The DHT literature supports a version of this interpretation. Khrennikov and collaborators define a dendrogramic Planck constant h(D) for a dendrogram D as a measure of indistinguishability between subsystems. They find stable logarithmic relationships between h(D), a dendrogramic speed of light c(D), and a dendrogramic gravitational constant G(D) across different dendrograms constructed from geodesic data. These results suggest that the fundamental constants are structural properties of the dendrogram rather than arbitrary parameters.
A regular tree has the same branching number p at every depth. The universe's event tree is unlikely to be regular. The cascade of structure formation described in cosmology implies that the effective branching number changes as the tree grows. Early in the universe's history, the tree is shallow and sparsely branched. As complexity accumulates, branching proliferates.
If ℏ is the exchange rate between depth and angle on the tree, and if the tree's branching structure is not uniform, then ℏ depends not on a single branching number p but on the entire branching sequence—how p varies with depth.
A different history of structure formation would produce a different branching sequence and hence a different value of ℏ. This is not fine-tuning, where a parameter must take a specific value for the universe to support complexity. It is path dependence, where the parameter value is determined by the historical trajectory of the system.
The observed value of ℏ, in this interpretation, is what fell out of this particular tree's growth. It encodes the specific sequence of waste-constrained transitions that built the universe we inhabit. The program for deriving ℏ would proceed by computing h(D) for dendrograms whose branching sequence matches the known cosmological cascade, and comparing the result to the observed value.
The angular resolution available at depth n is 2π/pⁿ. This observation has consequences for what can be distinguished at different stages of the cascade.
In the early universe, when the tree was shallow, angular resolution was coarse. Few measurement outcomes were distinguishable. The outcomes that occurred appeared deterministic because the alternatives, while present in principle, were too closely spaced to resolve.
As the tree deepens through successive branching events, angular resolution increases. More outcomes become distinguishable. What previously appeared as a single inevitable result resolves into multiple possibilities that could have gone different ways.
This reframes the transition from deterministic to contingent evolution. The transition ratio R_n that decreases through the cascade is not a smooth gradient. It is a step function, incrementing at each new branching event. Each branch creates a distinction the universe can now make that it could not make before.
The "fine" in fine-tuning is, in this interpretation, a statement about resolution. Early universe parameters appear fine-tuned because the measurement resolution available at that tree depth could not distinguish the successful values from the unsuccessful ones. They occupied the same ball in the ultrametric. As resolution improves with tree depth, what appeared as a single inevitable value resolves into a range that happened to work.
The framework generates several testable claims.
The Born rule theorem stated in Section 3.2 and proved in Appendix A is a mathematical result, not a physical hypothesis. The uniqueness of cos²θ under the stated constraints is established by proof. What remains falsifiable is whether those constraints correctly describe physical branching structures.
The factorization prediction in Section 4.2 is testable against experimental data. Existing Bell test results can be analyzed for evidence that correlations decompose into ancestry-depth and angular-separation components.
The exchange-rate interpretation of ℏ in Section 6 predicts that Planck's constant is calculable from the tree's branching sequence. If ℏ must remain a free parameter with no derivation from tree structure, the framework offers reinterpretation rather than unification.
The non-commutativity claim in Section 5.1 predicts that a specific algebraic structure relates depth and angle operators on the dendrogram, with ℏ as the coupling constant. This structure should be derivable from the tree's geometry.
Two concrete research directions would sharpen these claims. First, a statistical model for Bell experiments where correlations take the explicit two-factor form C(depth, θ) = g(depth) · cos²θ, with g(depth) fitted as a parameter to existing CHSH datasets, would test whether the factorization holds empirically. Second, a toy cosmological dendrogram constructed from actual survey data (e.g., SDSS hierarchical clustering) where one computes h(D), c(D), and G(D) and tests the claimed logarithmic relations would determine whether "constants from the tree" is viable or whether the approach fails to constrain the values.
If the p-adic tree with its natural symmetries produces Hilbert space structure as a consequence of formalizing angle-from-branching—rather than assuming Hilbert space from the start—this would not diminish the framework but strengthen it. It would constitute a derivation of the mathematical framework of quantum mechanics from something more primitive.
The present paper engages with several existing research programs.
Dendrographic Hologram Theory (Shor, Benninger, Khrennikov) provides the p-adic formalism, dendrogram construction methods, numerical demonstration of Bell violations in dendrogramic models, and the definition of dendrogramic constants h(D), c(D), and G(D). The present paper adds the depth/angle decomposition, the geometric interpretation of angle from branching number, the exchange-rate interpretation of ℏ, and the framing of GR and QM as incompatible compressions.
The Axelkrans projection framework constructs explicit projection operators Π_QM and Π_GR acting on a generative field, with paradoxes arising from projection mismatches. The present paper provides the specific identification of what each projection keeps and discards, and connects this to p-adic structure.
Halvorson's complementarity results rigorously establish that position and momentum representations are mutually exclusive in quantum mechanics. The present paper interprets this as the non-commutativity of depth and angle readings on the dendrogram.
Gleason's theorem establishes the uniqueness of the Born rule in Hilbert spaces of dimension d ≥ 3 but leaves d = 2 open. Three subsequent approaches close this gap within the Hilbert-space framework: Busch (2003) via POVMs, Wright and Weigert (2019) via projective-simulable measurements, and a 2025 preprint via tensor-product consistency. Appendix A closes the gap independently by a different route: self-similar recursion on a p-ary tree forces cos²θ as the unique solution, with continuity derived from monotonicity via Kannappan (1968) rather than assumed. The result is not an extension of Gleason to ultrametric spaces but an independent uniqueness theorem where recursive depth plays the role that high-dimensional orthogonality plays in Gleason's argument.
The classification of spherical functions on regular trees (Cartier 1972, Figà-Talamanca & Nebbia 1991, Macdonald 1971) provides the mathematical scaffolding for the uniqueness result. Every radial eigenfunction of the tree's transition operator with φ(0) = 1 takes the form φ_s(n) = c(s)q^{−sn} + c(1−s)q^{−(1−s)n}, parameterized by a complex spectral parameter s. Imposing boundary conditions, monotonicity, and decay selects the complementary series s ∈ (1/2, 1) — still a one-parameter family. What pins the solution to a single function is the Chebyshev composition rule (axiom A3 of §3.2), which requires the function to compose multiplicatively in the Chebyshev sense at every scale simultaneously, not merely to satisfy the three-term recurrence at a fixed eigenvalue. The tree Laplacian eigenvalue equation (q+1)γφ(n) = qφ(n+1) + φ(n−1) is itself a generalized Chebyshev recurrence (Davison 2001), and the composition axiom fixes the eigenvalue to the unique value compatible with both boundary conditions.
Khrennikov's contextual probability framework (QLRA, 2005–2009) demonstrates that cos²-type structure arises naturally from contextual deviations of classical probability, with an interference formula that directly produces Born-rule probabilities. However, Khrennikov's Born rule work and his p-adic analysis program are largely separate research streams — he does not derive the Born rule from p-adic or ultrametric structures per se. The present paper bridges these two programs by using the self-similar structure of p-adic trees to generate the Chebyshev recursion that forces cos². Lerner and Missarov (1991) provide a direct precedent for studying correlation functions on trees in a physics context, showing that scaling-invariant p-adic field theories have a natural continuation to the Bruhat-Tits tree with the binary correlation function being a spherical function, though not in connection with the Born rule.
The classical theory requires physically meaningful correlation functions on trees to be positive-definite kernels K(x,y) = f(d(x,y)), ensuring non-negative Fourier coefficients in the spherical transform. At integer distances, cos²(πn/2) = (1 + (−1)^n)/2 is positive-definite as the average of the trivial and sign representations. The four axioms as stated suffice for uniqueness without an explicit positive-definiteness axiom, but this condition grounds the result in the established harmonic-analytic framework of Bochner-Schoenberg theory on trees.
The present paper provides the geometric reading that connects these programs, the formal proof (Appendix A), and the falsification conditions. What remains open is the toy model deriving ℏ from branching parameters.
Two branches descend from a common node. The angle between them is determined by the branching structure at that node. The overlap between what each branch sees of their shared origin follows cos²θ.
The Born rule expresses projection geometry on the dendrogram. General relativity and quantum mechanics are two incompatible compressions of the same underlying tree that disagree about its granularity: GR smooths both readings into a continuous manifold, preserving causal structure and geometry but losing discrete events; QM retains the discrete event structure but replaces continuous geometry with algebraic relations that obscure spatial proximity. The two fail to unify because each compression discards information the other requires. Planck's constant converts between the depth and angle readings. The tree generates its own angular geometry through its branching structure, requiring no external embedding. There is no background spacetime, no measurement problem, and no nonlocality — only a tree, two lossy compressions of it, and the recognition that unification requires working with the tree directly.
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Fawcett, G. (2026). The Born rule as a theorem of self-similar branching: Uniqueness of cos²(πr/2) on p-adic dendrograms. Zenodo. https://doi.org/10.5281/zenodo.19014840 Provenance Document
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