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Random cop-win graphs        Anthony Bonato Random cop-win graphs        Anthony Bonato

Random cop-win graphs Anthony Bonato - PowerPoint Presentation

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Random cop-win graphs Anthony Bonato - PPT Presentation

1 Almost all copwin graphs contain a universal vertex Anthony Bonato Ryerson University RSA 2011 Cops and Robbers Random copwin graphs Anthony Bonato 2 C C C R Cops and Robbers Random copwin graphs Anthony Bonato ID: 759766

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Slide1

Random cop-win graphs Anthony Bonato

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Almost all cop-win graphs contain a universal vertex

Anthony BonatoRyerson University

RSA 2011

Slide2

Cops and Robbers

Random cop-win graphs Anthony Bonato

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C

C

C

R

Slide3

Cops and Robbers

Random cop-win graphs Anthony Bonato

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C

C

C

R

Slide4

Cops and Robbers

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C

C

C

R

cop

number c(G)

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Slide5

Cops and Robbers

played on reflexive graphs Gtwo players Cops C and robber R play at alternate time-steps (cops first) with perfect informationplayers move to vertices along edges; allowed to moved to neighbors or pass cops try to capture (i.e. land on) the robber, while robber tries to evade captureminimum number of cops needed to capture the robber is the cop number c(G)well-defined as c(G) ≤ δ(G)

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Slide6

Fast facts about cop number

(Aigner, Fromme, 84) introduced parameter G planar, then c(G) ≤ 3(Berrarducci, Intrigila, 93), (B, Chiniforooshan,10): “c(G) ≤ s?” s fixed: running time O(n2s+3), n = |V(G)| (Fomin, Golovach, Kratochvíl, Nisse, Suchan, 08): if s not fixed, then computing the cop number is NP-hard(Shroeder,01) G genus g, then c(G) ≤ ⌊ 3g/2 ⌋+3(Joret, Kamiński, Theis, 09) c(G) ≤ tw(G)/2

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Slide7

Meyniel’s Conjecture

c(n) = maximum cop number of a connected graph of order nMeyniel Conjecture: c(n) = O(n1/2).

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Slide8

State-of-the-art

(Lu, Peng, 09+) proved thatindependently proved by (Scott, Sudakov,10+), and (Frieze, Krivelevich, Loh, 10+)(Bollobás, Kun, Leader, 08+): if p = p(n) ≥ 2.1log n/ n, thenc(G(n,p)) ≤ 160000n1/2log n(Prałat,Wormald,11+): removed log factor

Random cop-win graphs Anthony Bonato

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Slide9

Cop-win case

consider the case when one cop has a winning strategycop-win graphsintroduced by (Nowakowski, Winkler, 83), (Quilliot, 78) cliques, universal verticestreeschordal graphs

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Slide10

Characterization

node u is a corner if there is a v such that N[v] contains N[u]v is the parent; u is the childa graph is dismantlable if we can iteratively delete corners until there is only one vertexTheorem (Nowakowski, Winkler 83; Quilliot, 78)A graph is cop-win if and only if it is dismantlable.idea: cop-win graphs always have corners; retract corner and play shadow strategy; - dismantlable graphs are cop-win by induction

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Slide11

Dismantlable graphs

5/27/2011

Anthony Bonato

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Slide12

Dismantlable graphs

5/27/2011

Anthony Bonato

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unique corner!

part of an infinite family that maximizes capture time

(Bonato

, Hahn,

Golovach,

Kratochvíl,09

)

Slide13

Cop-win orderings

a permutation v1, v2, … , vn of V(G) is a cop-win ordering if there exist vertices w1, w2, …, wn such that for all i, wi is the parent of vi in the subgraph induced V(G) \ {vj : j < i}. a cop-win ordering dismantlability

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Slide14

Cop-win Strategy (Clarke, Nowakowski, 2001)

V(G) = [n] a cop-win orderingG1 = G, i > 1, Gi: subgraph induced by deleting 1, …, i-1fi: Gi → Gi+1 retraction mapping i to a fixed one of its parentsFi = fi-1 ○… ○ f2 ○ f1 a homomorphismidea: robber on u, think of Fi(u) shadow of robbercop moves to capture shadow works as the Fi are homomorphismsresults in a capture in at most n moves of cop

Random cop-win graphs Anthony Bonato

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Slide15

Typical cop-win graphs

what is a random cop-win graph?G(n,1/2) and condition on being cop-winprobability of choosing a cop-win graph on the uniform space of labeled graphs of ordered n

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Slide16

Cop number of G(n,1/2)

(B,Hahn, Wang, 07), (B,Prałat, Wang,09)A.a.s.c(G(n,1/2)) = (1+o(1))log2n.-matches the domination number

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Slide17

Universal vertices

P(cop-win) ≥ P(universal) = n2-n+1 – O(n22-2n+3) = (1+o(1))n2-n+1…this is in fact the correct answer!

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Slide18

Main result

Theorem (B,Kemkes, Prałat,11+)In G(n,1/2),P(cop-win) = (1+o(1))n2-n+1

Random cop-win graphs Anthony Bonato

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Slide19

Corollaries

Corollary (BKP,11+)The number of labeled cop-win graphs is

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Slide20

Corollaries

Un = number of labeled graphs with a universal vertexCn = number of labeled cop-win graphsCorollary (BKP,11+)That is, almost all cop-win graphs contain a universal vertex.

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Slide21

Strategy of proof

probability of being cop-win and not having a universal vertex is very smallP(cop-win + ∆ ≤ n – 3) ≤ 2-(1+ε)nP(cop-win + ∆ = n – 2) = 2-(3-log23)n+o(n)

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Slide22

P(cop-win + ∆ ≤ n – 3) ≤ 2-(1+ε)n

consider cases based on number of parents:there is a cop-win ordering whose vertices in their initial segments of length 0.05n have more than 17 parents.there is a cop-win ordering whose vertices in their initial segments of length 0.05n have at most 17 parents, each of which has co-degree more than n2/3.there is a cop-win ordering whose initial segments of length 0.05n have between 2 and 17 parents, and at least one parent has co-degree at most n2/3.there exists a vertex w with co-degree between 2 and n2/3, such that wi = w for i ≤ 0.05n.

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Slide23

P(cop-win + ∆ = n – 2) ≤ 2-(3-log23)n+o(n)

Sketch of proof: Using (1), we obtain that there is an ε > 0 such thatP(cop-win) ≤ P(cop-win and ∆ ≤ n-3) + P(∆ ≥ n-2) ≤ 2-(1+ε)n + n22-n+1 ≤ 2-n+o(n) (*)if ∆ = n-2, then G has a vertex w of degree n-2, a unique vertex v not adjacent to w.let A be the vertices not adjacent to v (and adjacent to w)let B be the vertices adjacent to v (and also to w)Claim: The subgraph induced by B is cop-win.

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Slide24

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A

B

w

v

x

Slide25

Proof continued

n choices for w; n-1 for v choices for A if |A| = i, then using (*), probability that B is cop-win is at most 2-n+2+i+o(n)

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Slide26

Problems

higher cop number?almost all k-cop-win graphs contain a dominating set of order k?would imply that the number of labeled k-cop-win graphs of order n is difficulty: no simple elimination ordering for k > 1 (Clarke, MacGillivray,09+)characterizing cop-win planar or outer-planar graphs

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Random cop-win graphs Anthony Bonato

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preprints, reprints, contact:Google: “Anthony Bonato”

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Slide29

Geometric model for OSNs

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journal relaunch new editors accepting theoretical and empirical papers on complex networks, OSNs, biological networks