Operator $K$-theoretic analysis of random adjacency matrices
Bhishan Jacelon, Igor Khavkine

TL;DR
This paper investigates the asymptotic properties of random graph C*-algebras, showing they are almost surely Kirchberg algebras with trivial K_1, and explores their classification and probabilities of isomorphism to Cuntz algebras through theoretical and computational methods.
Contribution
It introduces a probabilistic framework for analyzing random graph C*-algebras, establishing their typical structure and classifying them via K-theoretic invariants, supported by simulations.
Findings
Random graph C*-algebras are almost surely Kirchberg algebras with trivial K_1.
Probabilities of isomorphism to Cuntz algebras depend on Sylow p-subgroups of K_0.
New heuristics and conjectures for asymptotic probabilities in various random graph models.
Abstract
We appeal to results from combinatorial random matrix theory to deduce that various random graph -algebras are asymptotically almost surely Kirchberg algebras with trivial . This in particular implies that, with high probability, the stable isomorphism classes of such algebras are exhausted by variations of Cuntz algebras that we term 'Cuntz polygons'. These probabilistically generic algebras can be assembled into a Fra\"{i}ss\'{e} class whose limit structure is consequently relevant to any -theoretic analysis of finite graph -algebras. We also use computer simulations to experimentally verify the behaviour predicted by theory and to estimate the asymptotic probabilities of obtaining stable isomorphism classes represented by actual Cuntz algebras. These probabilities depend on the frequencies with which the Sylow -subgroups of …
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Taxonomy
TopicsAdvanced Operator Algebra Research · Advanced Topics in Algebra · Functional Equations Stability Results
