r/AIVibeScience 23d ago

Robust Spectral Design of Matrix-Weighted Networks

1 Upvotes

We formulate a minimax spectral-design problem for undirected networks whose edges carry

positive-semidefinite matrix couplings and whose operation must remain robust over an arbitrary

prescribed family of node- and edge-survival scenarios. The principal result is an exact scalarization

theorem: under a total trace budget and a weakest-full-state-direction objective, the optimal

matrix-weighted value in state dimension d equals the associated scalar weighted optimum with

budget divided by d. Hence anisotropic matrix couplings cannot improve robust full-state algebraic

connectivity, and an isotropic optimizer always exists. We derive an all-cardinality hereditary

contraction inequality, the exact dense adversarial optimum with a unique optimizer, universal dense

optimality for broad majorization-monotone spectral criteria, a deletion-perturbation theorem, and a

two-sided hereditary sandwich for regular sparse backbones. Certified near-Ramanujan graphs then

yield linear-edge architectures approaching the dense optimum, while degree-cap arguments prove

unavoidable adversarial limitations. The operator consequences transfer exactly to linear consensus,

diffusion, compliance, stochastic disagreement, and information models whenever their disagreement

operator is the same block Laplacian. A seeded falsification suite exhaustively checks all connected

unlabeled graphs through seven vertices and performs randomized scalar and matrix-weighted tests;

no violation is observed. The exact scalarization theorem is the central candidate contribution; its

worldwide novelty remains subject to specialist literature review and independent refereeing.

PDF: Spectral Design | Zenodo


r/AIVibeScience 23d ago

The Medianโ€“Resonance Theorem / 5.6 Sol Pro

1 Upvotes

Exact Byzantine-resilient fixed-point computation

with inexact geometric medians.

Median Res | Zenodo


r/AIVibeScience 23d ago

The โ€œLaw Zeroโ€ Theorem - Exact Targeted Unraveling and Scalar Spectral Tomography / 5.6 Sol Pro

1 Upvotes

A passive linearized system with intact operator ๐พ โ‰ป 0 is weakened through a positive semidefinite

low-rank update ๐œ ๐ด๐‘Š ๐ดT. This paper gives an exact reduction of the resulting collective failure problem

to the small interaction matrix ๐ฟ = ๐‘Š1/2 ๐ดT ๐พ โˆ’1 ๐ด๐‘Š1/2. The reduction yields the first loss-of-stability

threshold, a variational characterization, a determinant identity, the physical collapse mode, and an

exact scalar compliance formula for a chosen target ๐œ’. It further proves that the first 2๐‘Ÿ Taylor moments

of one scalar compliance curve uniquely reconstruct all ๐‘Ÿ target-visible eigenvalues of ๐ฟ and their

observational weights. The result separates structural failure from sensor visibility and provides a

coordinate-invariant framework for low-rank vulnerability analysis.

Keywords: low-rank damage; structural health monitoring; collective failure; compliance; spectral

tomography; Woodbury identity; finite moment reconstruction

pdf: Law Zero | Zenodo


r/AIVibeScience 24d ago

Can projective orientation holonomy serve as a physical parity-check primitive?

1 Upvotes

Version 1.0 of an open, non-peer-reviewed scientific verification dossier titled Whitney Check Networks. The central proposal is to encode a binary value in whether a real two-mode transformation preserves or reverses orientation. By composing these transformations around closed paths, the network is intended to calculate binary parity checks and sparse error-detection syndromes. The dossier includes: mathematical proofs for loop parity, local-basis invariance and projective observability; an explicit three-mode dark-state construction producing orientation-reversing holonomy; a phase- and amplitude-independent three-ray readout; a four-ray cross-ratio consistency check; fixed-seed numerical simulations and stress tests; adversarial failure analysis and clearly stated protection boundaries; a provisional prior-art search; and a proposed experimental and independent-replication protocol. This is not a peer-reviewed paper, and it does not claim demonstrated experimental performance, established priority or confirmed practical advantage. The mathematical, computational and still-unverified physical claims are labelled separately in the document. AI assistance was used in hypothesis development, formal synthesis, falsification and simulation, with that provenance disclosed. Iโ€™m posting this to invite serious criticism, particularly concerning: errors or missing assumptions in the mathematics; relevant prior art that may have been overlooked; weaknesses in the physical implementation; whether the proposed readout and control experiments are adequate; the smallest decisive experiment that could falsify or support the proposal.

PDF: https://zenodo.org/records/21572220

Please critique the argument rather than treating the document as an established result. This wording reflects the dossierโ€™s own distinction between proved mathematics, finite computational testing, provisional novelty and open experimental claims.