Subjects · Leaving Cert Applied Maths
Leaving Cert Applied Maths: Hooke's law & elastic energy
How often Hooke's law & elastic energy comes up on the Applied Maths papers, every year it was asked, and questions to try.
HL Asked on 1 of the last 3 Higher Level papers, most recently in 2025.
Quick ones on Hooke's law & elastic energy.
- Tension = k ÷ extension
- Tension = k × extension
- Tension = k × extension²
- 2.25 N
- 3 N
- 30 N
- 2 J
- 40 J
- 4 J
Show the answers
(a) Tension = k × extension
(b) 30 N
(c) 2 J
Higher Level
Asked on 1 of the last 3 Higher Level papers, most recently in 2025.
Every paper, year by year
| Year | Where it came up |
|---|---|
| 2025 | Q6 |
| 2024 | Not asked |
| 2023 | Not asked |
Links open the State Examinations Commission’s paper for that year.
More Hooke's law & elastic energy questions
Hooke's law & elastic energy, 2 marks
On a graph of tension against extension for a spring, what does the area under the line give?
- The stiffness k of the spring
- The extension of the spring
- The elastic energy stored
Show the answer
The elastic energy stored
Work done = ∫ T dx, the area under the graph. For a straight line T = kx this triangle is ½ × x × kx = ½kx². The gradient of the line is k.
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
- Matrices & adjacency
- 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