Lesson Notes By Weeks and Term v4 - SHS 2

APPLICATIONS OF CALCULUS

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Subject: Additional Mathematics

Class: SHS 2

Term: 2nd Term

Week: 17

Grade code: 2.3.2.LI.2

Strand code: 3

Sub-strand code: 2

Content standard code: 2.3.2.CS.1

Indicator code: 2.3.2.LI.2

Theme: CALCULUS

Subtheme: APPLICATIONS OF CALCULUS

Lesson Video

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Performance objectives

Lesson summary

In our study of functions, we often want to find the "best" or "most extreme" values. For example, a business owner in Makola Market wants to know the production level that will give the maximum possible profit. An engineer designing a bridge wants to calculate the maximum load it can bear. A farmer wants to know the minimum amount of fencing needed to enclose a certain area. Calculus, specifically the use of derivatives, provides a powerful tool to solve these optimization problems.

Lesson notes

A. What are Stationary Points?

A stationary point on a curve is a point where the gradient (or slope) of the curve is zero. At this point, the function is momentarily "flat" — it is neither increasing nor decreasing.

To find stationary points, we use the fact that the first derivative, `dy/dx` or `f'(x)`, represents the gradient of the function. Therefore, at a stationary point: `dy/dx = f'(x) = 0`

There are three main types of stationary points we will study: Local Maximum: A point that is higher than all the nearby points on the curve. The curve looks like an upside-down bowl (∩) at this point. Local Minimum: A point that is lower than all the nearby points on the curve. The curve looks like a regular bowl (∪) at this point. Saddle Point (or Point of Inflexion): A point where the gradient is zero, but it is neither a maximum nor a minimum. The curve flattens out and then continues in the same general direction. It looks like an 'S' shape lying on its side. B. The Second Derivative Test: The Tool for Classification

Evaluation guide