| Exam Board | AQA |
|---|---|
| Module | Further Paper 3 Discrete (Further Paper 3 Discrete) |
| Year | 2022 |
| Session | June |
| Marks | 10 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Network Flows |
| Type | Lower and upper capacity networks |
| Difficulty | Standard +0.8 This is a multi-part network flow problem requiring supersink construction, flow augmentation algorithm application, and max-flow min-cut theorem proof. While these are standard Further Maths techniques, the question demands careful execution across multiple steps, understanding of capacity constraints, and critical analysis of a claim about network improvement. The 10-mark allocation and requirement to prove optimality places it moderately above average difficulty. |
| Spec | 7.02p Networks: weighted graphs, modelling connections7.04b Minimum spanning tree: Prim's and Kruskal's algorithms |
| Augmenting Path | Flow |
| Answer | Marks | Guidance |
|---|---|---|
| 8(a) | Connects supersink T to nodes | |
| G and H with two directed arcs | 1.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| GT and GH | 1.1b | A1 |
| Total | 2 | |
| Q | Marking instructions | AO |
| Answer | Marks |
|---|---|
| 8(b) | Finds at least one correct |
| Answer | Marks | Guidance |
|---|---|---|
| augmenting path | 3.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| augmenting path | 1.1b | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| augmenting path | 1.1b | A1 |
| Answer | Marks | Guidance |
|---|---|---|
| maximum flow with correct units | 3.2a | B1 |
| Total | 4 | |
| Augmenting Path | Flow | |
| SAEGT | 2 | |
| SBDEGT | 2 | |
| SCFHT | 2 | |
| Q | Marking instructions | AO |
| Answer | Marks |
|---|---|
| 8(c) | Translates the problem of |
| Answer | Marks | Guidance |
|---|---|---|
| set | 3.1a | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| theorem | 2.1 | R1 |
| Total | 2 | |
| Q | Marking instructions | AO |
| Answer | Marks |
|---|---|
| 8(d) | States or explains that AG is |
| Answer | Marks | Guidance |
|---|---|---|
| network | 1.1b | M1 |
| Answer | Marks | Guidance |
|---|---|---|
| incorrect | 2.3 | R1 |
| Total | 2 | |
| Question total | 10 | |
| Q | Marking instructions | AO |
Question 8:
--- 8(a) ---
8(a) | Connects supersink T to nodes
G and H with two directed arcs | 1.1a | M1
Includes a correct upper
capacity and a correct lower
capacity on both directed arcs
GT and GH | 1.1b | A1
Total | 2
Q | Marking instructions | AO | Marks | Typical solution
--- 8(b) ---
8(b) | Finds at least one correct
augmenting path and the flow
(may be seen on diagram)
Condone T not included in
augmenting path | 3.1a | M1 | Augmenting Path Flow
SAEGT 2
SBDEGT 2
SCFHT 2
Maximum flow = 79 m3 s–1
Finds a second correct
augmenting path and the flow
Condone T not included in
augmenting path | 1.1b | A1
Finds a third correct augmenting
path and the flow, and no
incorrect paths
Condone T not included in
augmenting path | 1.1b | A1
Clearly states the correct
maximum flow with correct units | 3.2a | B1
Total | 4
Augmenting Path | Flow
SAEGT | 2
SBDEGT | 2
SCFHT | 2
Q | Marking instructions | AO | Marks | Typical solution
--- 8(c) ---
8(c) | Translates the problem of
proving the flow is maximum
into explicitly identifying the
correct minimum cut of the
network
Condone T not included in sink
set | 3.1a | M1 | {S, B, C} {A, D, E, F, G, H, T}
= 25 + 19 + 10 + 25 = 79
As the flow (79) is equal to the
value of the minimum cut (79), the
maximum flow through the network
is 79 by the maximum flow-
minimum cut theorem.
Completes a reasoned
argument by comparing the
value of the correct minimum cut
and the flow of 79 m3 s–1 and
states this flow is maximum by
naming or explaining the
maximum flow-minimum cut
theorem | 2.1 | R1
Total | 2
Q | Marking instructions | AO | Marks | Typical solution
--- 8(d) ---
8(d) | States or explains that AG is
currently not limiting the
maximum flow through the
network | 1.1b | M1 | Increasing the upper capacity of
AG would not increase the
maximum flow through the network
as flow into node A is already
maximum.
Hence, the trainee engineer’s claim
is incorrect.
Explains why AG is not limiting
the maximum flow through the
network and then concludes that
the trainee engineer’s claim is
incorrect | 2.3 | R1
Total | 2
Question total | 10
Q | Marking instructions | AO | Marks | Typical solution
Figure 1 shows a network of gas pipes.
The numbers on each arc represent the lower and upper capacity for each pipe in $\text{m}^3 \text{s}^{-1}$
The numbers in the circles represent an initial feasible flow of 73 $\text{m}^3 \text{s}^{-1}$ through the network.
\includegraphics{figure_8}
\begin{enumerate}[label=(\alph*)]
\item On Figure 1 above, add a supersink $T$ to the network.
[2 marks]
\item Using flow augmentation, find the maximum flow through the network.
You must indicate any flow augmenting paths clearly in the table below.
You may use Figure 2, on the page opposite, in your solution.
[4 marks]
\begin{tabular}{|l|l|}
\hline
Augmenting Path & Flow \\
\hline
& \\
\hline
& \\
\hline
& \\
\hline
& \\
\hline
\end{tabular}
Maximum flow \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
\item Prove that the flow found in part (b) is the maximum flow through the network.
[2 marks]
\item A trainee engineer claims that increasing the upper capacity of the pipe $AG$ will increase the maximum flow through the network, as the flow through this pipe cannot currently be increased.
Comment on the validity of the trainee's claim.
[2 marks]
\end{enumerate}
\hfill \mbox{\textit{AQA Further Paper 3 Discrete 2022 Q8 [10]}}