For the following network, with edge capacities as shown, find the maximum flow from S to T, along with a matching cut.

Short Answer

Expert verified

The maximum flow is obtained with the residual capacity 13 and the matching cut is{S,C,F} and {A,B,D,E,G,T}

Step by step solution

01

Step 1:

Choose the augmenting path as S -> A -> D -> G -> T and the edge, which has the lowest capacity along the path, is A -> D andit has the capacity 4.

The following diagram represents it:

In the above diagram,

Left side is the current path and right side is the residual path.

The residual capacity is 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 6 now becomes 2 and the capacity of the reverse edge becomes 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 4 now becomes 0 and the capacity of the reverse edge becomes 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 5 now becomes 1 and the capacity of the reverse edge becomes 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 12 now becomes 8 and the capacity of the reverse edge becomes 4.

02

Step 2:

Choose the augmenting path as S -> A -> B -> E -> G -> T and the edge, which has the lowest capacity along the path, and it has the capacity 2.

The following diagram represents it:

In the above diagram,

Left side is the current path and right side is the residual path.

The residual capacity is 2.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 2 now becomes 0 and the capacity of the reverse edge becomes 6 from 4.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 2 i now becomes 0 and the capacity of the reverse edge becomes 2.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 20 now becomes 18 and the capacity of the reverse edge becomes 2.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 10 now becomes 8 and the capacity of the reverse edge becomes 2.

03

Step 3:

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 8 now becomes 6 and the capacity of the reverse edge becomes 6 from 4.

Choose the augmenting path as S -> B -> E -> G -> T and the edge, which has the lowest capacity along the path, and it has the capacity 1.

The following diagram represents it:

In the above diagram,

Left side is the current path and right side is the residual path.

The residual capacity is 1.

Subtract 1 from the capacity of the forward edge. Therefore, its capacity 1 now becomes 0 and the capacity of the reverse edge becomes 1.

Subtract 1 from the capacity of the forward edge. Therefore, its capacity 18 now becomes 17 and the capacity of the reverse edge becomes 3 from 2.

Subtract 1 from the capacity of the forward edge. Therefore, its capacity 8 now becomes 7 and the capacity of the reverse edge becomes 3 from 2.

Subtract 1 from the capacity of the forward edge. Therefore, its capacity 6 now becomes 5 and the capacity of the reverse edge becomes 7 from 6.

04

Step 4:

Choose the augmenting path as S-> C -> F -> T and the edge, which has the lowest capacity along the path, and it has the capacity 4.

The following diagram represents it:

In the above diagram,

Left side is the current path and right side is the residual path.

The residual capacity is 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 10 now becomes 6 and the capacity of the reverse edge becomes 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 5 now becomes 1 and the capacity of the reverse edge becomes 4.

Subtract 4 from the capacity of the forward edge. Therefore, its capacity 4 now becomes 0 and the capacity of the reverse edge becomes 4.

05

Step 5:

Choose the augmenting path as S -> C -> B -> E -> G -> T and the edge, which has the lowest capacity along the path, and it has the capacity 2.

The following diagram represents it:

In the above diagram,

Left side is the current path and right side is the residual path.

The residual capacity is 2.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 6 now becomes 4 and the capacity of the reverse edge becomes 6 from 4.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 2 now becomes 0 and the capacity of the reverse edge becomes 2.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 17 now becomes 15 and the capacity of the reverse edge becomes 5 from 3.

06

Step 6:

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 7 now becomes 5 and the capacity of the reverse edge becomes 5 from 3.

Subtract 2 from the capacity of the forward edge. Therefore, its capacity 5 now becomes 3 and the capacity of the reverse edge becomes 9 from 7.

The maximum flow is obtained with the residual capacity 4+2+1+4+2=13

Then cut the partition into two, let it be “M” and “N”. Both should be a disjoint group where “S” should be in “M” and “T” should be in “N”.

LetM={S,C,F}andN={A,B,D,E,G,T}

Cut “M” is shown below:

Cut “N” is shown below:

Therefore, the maximum flow is obtained with the residual capacity 13 and the matching cut is {S,C,F} and {A,B,D,E,G,T}

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Most popular questions from this chapter

Suppose someone presents you with a solution to the max-flow problem on some network. Give a linear-time algorithm to determine whether the solution does indeed give a maximum flow.

The dual of maximum flow. Consider the following network with edge capacities

(a) Write the problem of finding the maximum flow from StoTas a linear program.

(b) Write down the dual of this linear program. There should be a dual variable for each edge of the network and for each vertex other than S,T.

Now we’ll solve the same problem in full generality. Recall the linear program for a general maximum flow problem (Section 7.2).

(c) Write down the dual of this general flow LP, using a variableyefor each edge and xufor each vertexus,t.

(d) Show that any solution to the general dual LP must satisfy the following property: for any directed path from in the network, the sum of the yevalues along the path must be at least 1.

(e) What are the intuitive meanings of the dual variables? Show that anystcut in the network can be translated into a dual feasible solution whose cost is exactly the capacity of that cut.

Matching pennies. In this simple two-player game, the players (call them Rand C) each choose an outcome, heads or tails. If both outcomes are equal, Cgives a dollar to R; if the outcomes are different, Rgives a dollar to C.

(a) Represent the payoffs by a2×2 matrix.

(b) What is the value of this game, and what are the optimal strategies for the two players?

Give an example of a linear program in two variables whose feasible region is infinite, but such that there is an optimum solution of bounded cost.

Hall’s theorem. Returning to the matchmaking scenario of Section 7.3, suppose we have a bipartite graph with boys on the left and an equal number of girls on the right. Hall’s theorem says that there is a perfect matching if and only if the following condition holds: any subset sof boys is connected to at least |s|girls.

Prove this theorem. (Hint: The max-flow min-cut theorem should be helpful.)

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