Math Problem Statement

Max flow

How many arcs are in set Q (all non existing arcs)?

Write an LP for this max flow problem from Node A to H

Solution

To determine the number of arcs in set QQ, which represents all non-existing arcs in the graph, we need to analyze the directed graph given and compare it to a complete graph.

Steps to Find Set QQ

  1. Count All Possible Arcs: For a directed graph with nn nodes, a complete graph has n(n1)n(n - 1) directed arcs because each node can have an arc to every other node except itself.

    In this case, there are 8 nodes (A, B, C, D, E, F, G, H), so the total possible arcs are: 8×(81)=568 \times (8 - 1) = 56

  2. Count Existing Arcs: We count all arcs present in the graph.

    • From the diagram:
      • A → B, A → C
      • B → C, B → E
      • C → D
      • D → F, D → H
      • E → F, E → G
      • F → H
    • Total existing arcs: 11
  3. Calculate Non-Existing Arcs in Set QQ: Q=5611=45|Q| = 56 - 11 = 45

So, the number of arcs in set QQ is 45.

Would you like a further breakdown of any step, or have any additional questions? Here are some related questions for further exploration:

  1. How would you model the capacity constraints for each arc in the LP formulation?
  2. What objective function would you set to maximize flow from node A to node H?
  3. How would you write the flow conservation constraints for intermediate nodes like B, C, D, etc.?
  4. Could you discuss the effect of removing an arc on the maximum flow?
  5. How would the LP change if you wanted to minimize the flow instead?

Tip: When analyzing flow problems, always verify if arcs have capacity constraints, as these directly impact the formulation and solution of the max flow problem.

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Math Problem Analysis

Mathematical Concepts

Linear Programming
Network Flow
Max Flow Problem

Formulas

Flow conservation constraint: sum of inflows - sum of outflows = 0 for intermediate nodes
Capacity constraint: flow along each arc <= capacity of the arc
Objective function: maximize the flow from the source to the sink

Theorems

Max-flow min-cut theorem

Suitable Grade Level

Undergraduate level (Operations Research, Optimization)