Alphabeta Math

Random graphs and matrix concentration

Develop degree tails, trace and Gaussian estimates, and concentration; connect them to regular spectra, connectivity and synchronization thresholds with each input's model and asymptotic range.

1 · Prerequisites
2 · Logical flowchart

Arrows show item dependencies. A grouped prerequisite node points to items that use one or more of its members; their exact links are listed above.

3 · Items

Remark

Earlier thresholds with explicit source quantifiers and a fixed-scale deduction

Lemma

Inward comparison and small-shift limits of entropy roots

Lemma

Extreme-value Lipschitz bounds and centered norm reduction

Lemma

Uniform spectral control transfers past connectivity

Proposition

Entropy rates, inverse branches and shifted root contracts

Theorem

An independent symmetric-Gaussian norm moment input

Theorem

Simultaneous global synchronization from connectivity

Proposition

Extremal degrees at a fixed logarithmic mean