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UT Dallas CS 6385 - node_connectivity

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Minimum Cut ProblemSlide 2Edge Disjoint PathsSlide 4Slide 5Slide 6Network ConnectivityEdge Disjoint Paths and Network ConnectivityDisjoint Paths and Network ConnectivityThere are 3 arc-disjoint s-t pathsDeleting 3 arcs disconnects s and tNode disjoint pathsPowerPoint PresentationThere are 2 node disjoint s-t paths.Deleting 5 and 6 disconnects t from s.7.5 Bipartite MatchingBipartite MatchingApplicationMatchingSlide 20Slide 21MatchingsTransformation to a Max Flow ProblemFind a max flowSlide 25Bipartite Matching: Proof of CorrectnessSlide 27Graph Connectivity and Minimum CutsSlide 29Slide 30Slide 31DefinitionsSlide 33ExercisesSlide 35Slide 36Slide 37Flow network.Abstraction for material flowing through the edges.G = (V, E) = directed graph, no parallel edges.Two distinguished nodes: s = source, t = sink.c(e) = capacity of edge e.Minimum Cut Problems234567t 15 5 30 15 10 8 15 9 6 10 10 10 15 4 4capacitysourcesinkMin s-t cut problem. Find an s-t cut of minimum capacity.Minimum Cut Problems234567t 15 5 30 15 10 8 15 9 6 10 10 10 15 4 4 A Capacity = 10 + 8 + 10 = 283Disjoint path problem. Given a digraph G = (V, E) and two nodes s and t, find the max number of edge-disjoint s-t paths.Def. Two paths are edge-disjoint if they have no edge in common.Ex: communication networks.s234Edge Disjoint Paths567t4Disjoint path problem. Given a digraph G = (V, E) and two nodes s and t, find the max number of edge-disjoint s-t paths.Def. Two paths are edge-disjoint if they have no edge in common.Ex: communication networks.s234Edge Disjoint Paths567t5Max flow formulation: assign unit capacity to every edge.Theorem. Max number edge-disjoint s-t paths equals max flow value.Pf.  Suppose there are k edge-disjoint paths P1, . . . , Pk.Set f(e) = 1 if e participates in some path Pi ; else set f(e) = 0.Since paths are edge-disjoint, f is a flow of value k. ▪Edge Disjoint Pathss t111111111111116Max flow formulation: assign unit capacity to every edge.Theorem. Max number edge-disjoint s-t paths equals max flow value.Pf.  Suppose max flow value is k.Integrality theorem  there exists 0-1 flow f of value k.Consider edge (s, u) with f(s, u) = 1.–by conservation, there exists an edge (u, v) with f(u, v) = 1–continue until reach t, always choosing a new edgeProduces k (not necessarily simple) edge-disjoint paths. ▪Edge Disjoint Pathss t11111111111111can eliminate cycles to get simple paths if desired7Network connectivity. Given a digraph G = (V, E) and two nodes s and t, find min number of edges whose removal disconnects t from s.Def. A set of edges F  E disconnects t from s if all s-t paths uses at least on edge in F.Network Connectivitys234567t8Edge Disjoint Paths and Network ConnectivityTheorem. [Menger 1927] The max number of edge-disjoint s-t paths is equal to the min number of edges whose removal disconnects t from s.Pf.  Suppose the removal of F  E disconnects t from s, and |F| = k.All s-t paths use at least one edge of F. Hence, the number of edge-disjoint paths is at most k. ▪s234567ts234567t9Disjoint Paths and Network ConnectivityTheorem. [Menger 1927] The max number of edge-disjoint s-t paths is equal to the min number of edges whose removal disconnects t from s.Pf. Suppose max number of edge-disjoint paths is k.Then max flow value is k.Max-flow min-cut  cut (A, B) of capacity k.Let F be set of edges going from A to B.|F| = k and disconnects t from s. ▪s234567ts234567tAThere are 3 arc-disjoint s-t pathsst123456789101112Deleting 3 arcs disconnects s and t•Let S = {s, 3, 4, 8}. The only arcs from S to T = N\S are the 3 deleted arcs.t125679101112s34 8Node disjoint paths•Two s-t paths P and P' are said to be node-disjoint if the only nodes in common to P and P' are s and t). •How can one determine the maximum number of node disjoint s-t paths? •Answer: node splitting•Theorem. Let G = (N,A) be a network with no arc from s to t. The maximum number of node-disjoint paths from s to t equals the minimum number of nodes in N\{s,t} whose removal from G disconnects all paths from nodes s to node t.Thm 6.8) (Menger’s Thm)maximum number of node disjoint s-t paths = minimum number of s-t vertex cut.Pf) Construct G’ using node splittingnode i in G → node i’, i’’, and arc (i’, i’’) with capacity 1(except s, t)incoming arcs to node i → incoming arcs to i’ outgoing arcs from node i → outgoing arcs from i’’ (i, j)A → set capacity of original arcs at Flow of v units in G’ gives v arc disjoint paths andv arc disjoint paths in G’  v node disjoint paths in GAlso any finite capacity s-t cut in G’ has only node-splitting arcsTherefore, any s-t cut in G’ with capacity k corresponds to a set of k nodes whose removal from G destroys all paths from node s to node t.By max-flow min-cut theorem, max number of node-disjoint s-t paths in G = minimum number of s-t vertex cut in G.  For undirected network, can replace each edge by two directed arcs with opposite direction. Then the results still hold for undirected case.Network Theory and Applications 201013There are 2 node disjoint s-t paths.st123456789101112Deleting 5 and 6 disconnects t from s.•Let S = {s, 1, 2, 3, 4, 8}•Let T = {7, 9, 10, 11, 12, t}•There is no arc directed from S to T.t7910111256s1234 87.5 Bipartite MatchingBipartite Matching•A graph G=(V,E) is bipartite if the vertices can be partitioned into disjoints sets X,Y•A matching M is a subset of the edges that does not share any vertices•Find a matching as large as possibleApplication•A collection of teachers•A collection of courses•And a graph showing which teachers can teach which coursesRAPBCCDGAK30332132640142119Matching.Input: undirected graph G = (V, E).M  E is a matching if each node appears in at most edge in M.Max matching: find a max cardinality matching.Matching20Bipartite MatchingBipartite matching.Input: undirected, bipartite graph G = (L  R, E).M  E is a matching if each node appears in at most edge in M.Max matching: find a max cardinality matching.1351'3'5'242'4'matching1-2', 3-1', 4-5' RL21Bipartite MatchingBipartite matching.Input: undirected, bipartite graph G = (L  R, E).M  E is a matching if each node appears in at most edge in M.Max matching: find a max cardinality matching.1351'3'5'242'4'RLmax matching1-1', 2-2', 3-3'


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UT Dallas CS 6385 - node_connectivity

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