Paper analyzes eigenvector concentration effects on mass distributions in numerical regime B on twisted Ulam grids, suggesting new insights into classification.
Paper 48 established a discrete two-class taxonomy within numerical Regime B on the twisted Bird-map boundary grid: a coherent class B1 where both k_EAE and k_BV remain single- to few-digit, and a spray class B2 where k_BV stays bounded while k_EAE grows monotonically across three successive Ulam-grid doublings (four N-grids), with WBA ε = 0.70 as the sole confirmed B2 cell. The B2 sequence admits an empirical power-law fit k_EAE(N) ≈ 0.5072·N^0.7715 on N ∈ {2048, 4096, 8192, 16384}, with k_BV remaining in [3.10, 3.35] across the same grids. A complementary off-diagonal probe at N = 1024 shows that WBA ε = 0.70 and Lorentzian ε = 1.02 have nearly identical column entropies and tail fractions (0.9111 vs. 0.9011), a one-percentage-point difference that is not statistically meaningful. Paper 49 therefore localises the B2 spray, on the executed grids, to eigenvector concentration rather than gross off-diagonal transition structure. Paper 50 pursues this eigenvector-level mechanism using only previously computed Ulam eigenvectors on the boundary grid. For each eigenvector we sort cell masses and study cumulative mass functions M_N(k), discrete percentiles k_50(N), k_75(N), k_90(N), and the top-1% mass fraction m_1%(N) on the four B2 grids for WBA ε = 0.70 and a B1 Lorentzian comparator. On the executed grids, the diagnostics either reveal widening concentration widths and eigenvector dilution for WBA relative to Lorentzian (a positive eigenvector-flattening classification) or remain within a common envelope, in which case the B2 spray is invisible to sorted cumulative-mass profiles at these resolutions. All statements are strictly finite-grid and eigenvector-level; no claim is made about the continuum invariant density or any asymptotic scaling law as N → ∞.
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Michael Bird (2026) studied this question.
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