Final answer:
To model the problem, we can define vertices for cities, spies, and the source and sink. Edges and capacities can represent the constraints and requirements. A maximum flow in the network can be transformed into a feasible solution for the spies.
Step-by-step explanation:
To model the given problem as a flow network, we can define the following:
Vertices:
- The set of vertices V will represent the cities in the railway system.
- For each spy, there will be two additional vertices, denoted as sᵢ_in and sᵢ_out, representing the start and end points of their path.
- There will be a source vertex S and a sink vertex T.
Edges and Capacities:
- For each city v∈V, there will be an edge (v_in, v_out) with capacity c, representing the constraint that at most c spies can pass through any city.
- For each spy i, there will be an edge (sᵢ_in, sᵢ_out) with capacity 1, representing the path of that spy.
- For each city v∈V and spy i, there will be an edge (v_out, sᵢ_in) with capacity 1, representing the connection between the city and the spy's path.
- For each city v∈T, there will be an edge (v_out, T) with capacity c, representing the requirement for spies to reach the consulate of a friendly nation.
- For each spy i, there will be an edge (sᵢ_out, T) with capacity 1, representing the requirement for each spy to reach the consulate.
A maximum flow in this network can be transformed into a feasible solution to the original problem by considering the flow on the paths of each spy. The flow will determine the cities that each spy passes through, and the constraints on the maximum number of spies passing through a city will be satisfied. If the maximum flow in the network saturates all the edges from the spies to the sink, it means that each spy successfully reaches the consulate of a friendly nation.