Subjects · Leaving Cert Applied Maths
Leaving Cert Applied Maths: Matrices & adjacency
How often Matrices & adjacency comes up on the Applied Maths papers, every year it was asked, and questions to try.
HL Asked on 3 of the last 3 Higher Level papers, most recently in 2025. banker
OL Asked on 3 of the last 3 Ordinary Level papers, most recently in 2025. banker
Quick ones on Matrices & adjacency.
- The identity matrix
- Symmetric
- Upper triangular
- Walks of length 1 or 2 from i to j
- Edges joining i directly to j
- Walks of length 2 from i to j
- 1 1 0 1
- 0 0 1 1
- 1 1 1 1
Show the answers
(a) Symmetric
(b) Walks of length 2 from i to j
(c) 1 1 0 1
Higher Level
Asked on 3 of the last 3 Higher Level papers, most recently in 2025. banker
Every paper, year by year
| Year | Where it came up |
|---|---|
| 2025 | Q1 |
| 2024 | Q1 |
| 2023 | Q1 |
Links open the State Examinations Commission’s paper for that year.
More Matrices & adjacency questions
Matrices & adjacency, 2 marks
What does the entry in row i, column j of M³ count?
- Paths of length 3 with no repeated vertex
- Triangles that contain both i and j
- Walks of length 3 from i to j
Show the answer
Walks of length 3 from i to j
Each power of M adds one step: Mᵏ counts walks of length k. Walks may repeat vertices and edges, so M³ counts more than just paths or triangles.
Matrices & adjacency, 2 marks
Undirected graph, no loops: what does the sum of one row of its adjacency matrix give?
- Twice the number of edges
- The degree of that vertex
- The number of vertices
Show the answer
The degree of that vertex
Row i lists the edges from vertex i to each other vertex, so its total is the number of edges at i: its degree. Summing the whole matrix gives twice the number of edges.
Matrices & adjacency, 3 marks
Simple undirected graph: what does the diagonal entry (i, i) of M² give?
- The degree of vertex i
- Zero
- The number of edges in the graph
Show the answer
The degree of vertex i
(i, i) of M² counts walks of length 2 from i back to i: out along an edge and straight back. There is one such walk for each edge at i, so it equals the degree.
Ordinary Level
Asked on 3 of the last 3 Ordinary Level papers, most recently in 2025. banker
Every paper, year by year
| Year | Where it came up |
|---|---|
| 2025 | Q9 |
| 2024 | Q5 |
| 2023 | Q1 |
Links open the State Examinations Commission’s paper for that year.
More Matrices & adjacency questions
Matrices & adjacency, 2 marks
What does an entry of M² count, where M is an adjacency matrix?
- Edges joining the two vertices directly
- Walks of length 1 between the two vertices
- Walks of length 2 between the two vertices
Show the answer
Walks of length 2 between the two vertices
M counts one-step walks. M² = M × M counts two-step walks, so an entry of M² tells you how many ways to get from one vertex to another in exactly 2 edges.
Matrices & adjacency, 2 marks
In the adjacency matrix of a simple undirected graph, the sum of row A equals…
- The number of cycles through A
- The degree of A
- The number of vertices
Show the answer
The degree of A
Each 1 in row A is an edge at A, so adding the row counts the edges meeting at A, which is its degree.
Matrices & adjacency, 3 marks
An undirected graph has edges AB, AC and BC. Row A of its adjacency matrix (order A, B, C)?
- 0 1 1
- 1 1 1
- 0 1 0
Show the answer
0 1 1
A has no loop, so the A column entry is 0. A is joined once to B and once to C, giving 0 1 1.
Other Applied Maths topics
- Calculus & variable acceleration
- Connected particles & pulleys
- Constant acceleration (suvat)
- Dijkstra's algorithm
- Displacement & velocity graphs
- First-order difference equations
- Forces & Newton's laws
- Friction & inclined planes
- Graphs & network terminology
- Horizontal circular motion
- Loans, savings & finance models
- Minimum spanning trees
- Momentum & direct collisions
- Oblique collisions
- Projectile motion
- Recurrence relations & differences
- Reducing second-order DEs
- Resisted motion & drag
- Second-order difference equations
- Separable differential equations
- The modelling cycle & assumptions
- Vectors & the dot product
- Vertical circular motion
- Dimensional analysis
- Dynamic programming & Bellman
- Project scheduling & critical path
- Work, energy & conservation
- Greedy vs dynamic algorithms
- Hooke's law & elastic energy