7.4 Exercises

  1. 1.

    Let G be a graph and S,TV(G) such that ST=. Formulate an appropriate notion of a vertex cut and prove a version of the vertex form of the Menger’s theorem for the following two scenarios.

    1. (a)

      Consider the maximum number of disjoint paths from S to T such that the paths do not intersect even at S and T.

    2. (b)

      Consider the maximum number of disjoint paths from S to T such that the paths are allowed to intersect at S or T.

  2. 2.

    Show that edge connectivity and vertex connectivity are equal if Δ(G)3.

  3. 3.

    If G is a connected graph and for every edge e, there are cycles C1 and C2 such that E(C1)E(C2)={e} then G is 3-edge connected.

  4. 4.

    What is the vertex and edge connectivity of the Petersen graph ?

  5. 5.

    Let F be a non-empty set of edges in G. Prove that F is an edge-cut of the form F=E(S×Sc) for some SV in G iff F contains an even number of edges from every cycle C.

  6. 6.

    If G is a k-connected graph and a new graph G is formed by adding a new vertex y with at least k neighbours in G, then G is also k-connected.

  7. 7.

    Let G be a graph with at least 3 vertices. Show that G is 2-connected G is connected and has no cut-vertex for all x,yV(G) there exists a cycle through x and y δ(G)1 and every pair of edges lies in a common cyle.

  8. 8.

    Consider a directed graph G=(V,E) and s,tV. Further assume that there are no incoming edges at s or no out-going edges at t. An elementary st flow is a flow f which is obtained by assigning a constant positive value a to the edges on a simple directed st path and 0 to all other edges. Show that every flow is a sum of elementary flows and a flow of strength 0.

  9. 9.

    Consider a directed graph G=(V,E) and s,tV. Further assume that there are no incoming edges at s or no out-going edges at t. If f is an integral flow of strength k, show that there exist k directed paths p1,,pk such that for all eE, |{pi:epi}|f(e).

  10. 10.

    * (Generalized max-flow min-cut theorem :) Let G=(V,E) be a directed graph, s,tV and c:(V{s,t})E[0,) be a capacity constraint function. Then f:E[0,) is a st flow satisfying capacity constraint c if

    1. (a)

      e:e=xf(e)=e:e+=xf(e) for all xs,t. (conservation of flow / Kirchoff’s node law).

    2. (b)

      For all eE, f(e)c(e). (edge capacity constraint).

    3. (c)

      e:e+=xf(e)c(x) for all xs,t. (vertex capacity constraint.)

    4. (d)

      |f|:=e:e=sf(e)e:e+=sf(e)0. (flow strength is non-negative.)

    A subset SVE is an st cut if every path from s to t passes through either a vertex or an edge in S. Further capcity of a cut is defined as c(S):=vSc(v)+eSc(e).

    Show that

    max{|f|:f is a st flow satisfying capacity constraint c }=min{C(S):SVE is an st cut}.
  11. 11.

    * Can you state the defective version of Hall’s marriage theorem as a max flow-min cut theorem ?

Question 7.24.

Can you state Tutte’s 1-factor theorem also as a max-flow min-cut theorem ?