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Mathematical analysis reveals exact spectral-addition laws on divisor posets in the Pythagorean Angle Lattice, demonstrating arithmetic depth reconstruction from operator traces.
Möbius precision operators on the divisor posets of the Pythagorean Angle Lattice yield an exact spectral-addition law whose traces and determinants reconstruct the complete prime-depth profile of the division content: Primitive Pythagorean triples determine rational norm-one Gaussian rotations and hence oriented rational angles. The Pythagorean Angle Lattice (PAL) is the division structure obtained by taking integral roots of these rotations inside the rational-angle group. For a nonzero PAL angle θ, its division content L(θ) records all integral divisibility, while the valuations a_p = v_p(L(θ)) form its prime-depth profile. This paper associates to that arithmetic data a canonical finite spectral tower. At level r we use the divisor poset D_r = Div(L^r), its incidence-zeta operator Z_r, and the Möbius precision ΔMobL,r = (Z_r^* Z_r)⁻¹. The PAL decimation map ρr,s(d) = d/(d, Lʳ⁻ˢ) induces a transfer operator Tr,s. We prove the exact covariance law Tr,s ΔMobL,r T^*r,s = ΔMobL,s. Writing Cr,s = Tr,s T^*r,s and RL;r,s = C1/2r,s ΔMobL,s C1/2r,s, we obtain the spectral-addition identity Tr RL;r,s = E_L(r + s) = τ(Lʳ⁺ˢ), E_L(x) = ∏p|L (1 + v_p(L) x). Primewise, the operator is similar to a positive rank-one boundary perturbation of a Dirichlet–Neumann Jacobi matrix, with characteristic polynomial P_N + q PN-1. We prove a rigidity theorem explaining why the canonical incidence normalization is precisely the normalization that yields the symmetric r + s trace law. Finally, the trace family, a normalized determinant response, and its finite jet all reconstruct exactly the unlabelled prime-depth multiset {v_p(L) : p | L}. The construction is canonical relative to counting measure, but it deliberately forgets prime labels and the division-primitive PAL core. Thus PAL division content acquires a decimation-covariant incidence geometry whose spectral data give an exact arithmetic classification of depth profiles.
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Chetansing Rajput (2026) studied this question.
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