Mathematical Fundamentals · MS01-001-G
Formula
Between points \(a\) and \(b\):
\[\text{ARC} = \frac{f(b) - f(a)}{b - a}\]
Example: revenue goes from €800 to €1,040 as sales go from 40 to 80 units.
\[\text{ARC} = \frac{1040 - 800}{80 - 40} = \frac{240}{40} = 6 \text{ €/unit}\]
The derivative \(f'(x)\) is the instantaneous rate of change — the limit of the ARC as the interval shrinks to a point.
Geometric meaning: slope of the tangent to the curve at \(x\).
Key Derivative Rules
| Function | Derivative |
|---|---|
| \(f(x) = ax + b\) | \(f'(x) = a\) |
| \(f(x) = ax^2 + bx + c\) | \(f'(x) = 2ax + b\) |
Procedure
Profit function: \(\pi(q) = -2q^2 + 120q - 800\)
Step 1 — Compute the derivative: \[\pi'(q) = -4q + 120\]
Step 2 — Solve \(\pi'(q) = 0\): \[q^* = 30 \text{ units}\]
Step 3 — Sign table: \(\pi' > 0\) for \(q < 30\), \(\quad \pi' < 0\) for \(q > 30\)
Step 4 — \(q^* = 30\) is a maximum.
\[\pi(30) = -2(900) + 120(30) - 800 = -1800 + 3600 - 800 = €1{,}000\]
The derivative measures the instantaneous rate of change — it is the slope of the tangent at any point.
Set \(f'(x) = 0\) to find critical points, then use a sign table to classify them as maxima or minima.
For \(f(x) = ax^2 + bx + c\): \(a < 0\) → maximum at \(x^*\); \(a > 0\) → minimum at \(x^*\).
→ Module 7: Introduction to Optimization