Trigonometry in Galois fields: Difference between revisions

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The '''[[expander graph|expander]] mixing lemma''' states that, for any two [[subsets]] <math>S, T</math> of a d-regular [[expander graph]] <math>G</math>, the number of edges between <math>S</math> and <math>T</math> is approximately what you would expect in a [[random graph|random]] ''d''-[[regular graph]], i.e. <math>d \cdot|S| \cdot |T| / n</math>.
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==Statement==
Let <math>G = (V, E)</math> be a d-regular graph with normalized second-largest eigenvalue <math>\lambda</math> (in absolute value) of the adjacency matrix. Then for any two subsets <math>S, T \subseteq V</math>, let <math>E(S, T)</math> denote the number of edges between S and T.
If the two sets are not disjoint, edges in their intersection are counted twice, that is,
<math>E(S,T)=2|E(G[S\cap T])| + E(S\setminus T,T) + E(S,T\setminus S)</math>.
We have
 
:<math>\left|E(S, T) - \frac{d\cdot |S| \cdot |T|}{n}\right| \leq d \lambda  \sqrt{|S| \cdot |T|}\,.</math>
 
For a proof, see references.
 
==Converse==
Recently, Bilu and [[Nati Linial|Linial]] showed that the converse holds as well: if a graph satisfies the conclusion of the expander mixing lemma, that is, for any two subsets <math>S, T \subseteq V</math>,
 
:<math>|E(S, T) - \frac{d \cdot |S| \cdot |T|}{n}| \leq d \lambda \sqrt{|S| \cdot |T|}</math>
 
then its second-largest eigenvalue is <math>O(d \lambda\cdot (1+\log(1/\lambda)))</math>.
 
==References==
*Notes proving the expander mixing lemma. [http://www.tcs.tifr.res.in/~prahladh/teaching/05spring/lectures/lec2.pdf]
*Expander mixing lemma converse. [http://www.cs.huji.ac.il/~nati/PAPERS/raman_lift.pdf]
 
{{comp-sci-theory-stub}}
 
[[Category:Theoretical computer science]]
[[Category:Graph theory]]
[[Category:Lemmas]]

Latest revision as of 09:53, 1 March 2014

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