Differentiation is the method of finding a derivative for the function at any given point. The rate of change in a dependent variable (say y) due to small change in the independent variable (say x) is called the derivative of y with respect to x. The derivative is equivalent to finding the slope of the tangent line to the function at a point. The derivative and the antiderivative or the integration are the essences of calculus.
Derivative means the rate of change in one variable (say y) due to change in another variable (say x). Symbolically written as (dy/dx).
Derivative or first derivative measures slope. The slope is simply the measure of the change in a variable in the Yaxis to the change in a variable in the Xaxis.
Slope = Change in Rise(y) / Change in Run(x)
Then, what does the firstorder condition mean?
The firstorder condition states that a function attains maximum or minimum at the point where the first derivative or slope of the function is zero.
A function or a curve has a slope zero at a point where it is parallel to the Xaxis. At point H, the function attains maximum as the slope at "H" is zero. But why maximum at "H"??
The secondorder condition plays a crucial role in clarifying if the function attains maximum or minimum at point "H".
The secondorder condition plays a crucial role in clarifying if the function attains maximum or minimum at point "H".
The secondorder condition or the second derivative measures the rate of change of slope or first derivative. While examining the curvature of the profit function in Figure 5.9, it is inverse U shaped. It means that the slope of the curve is gradually decreasing while moving along the Xaxis to point "H". In other words, the curve is increasing at the decreasing rate from the Xaxis to point "H".
The animated GIF makes it more clear.
At point "L", the function attains minimum because
(i) The slope or the first derivative is zero.
(ii) The slope is decreasing at a decreasing rate from Xaxis to point "L". It means that at one point the slope stops decreasing and takes a "U" turn.
At point "H", the function attains maximum because
(i) The slope or the first derivative is zero.
(ii) The slope is increasing at a decreasing rate from point "L" to point "H". It means that at one point the slope stops increasing and takes a "U" turn.
Practical Example
Table 1: Profit function
Output

Profit (Rs.)

The derivative of Profit (Marginal
Profit)

Second Derivative of profit

1

50


2

64

14


3

76

12

2

4

86

10

2

5

94

8

2

6

100

6

2

7

104

4

2

8

106

2

2

9

106

0

2

10

104

2

2

11

100

4

2

12

94

6

2

13

86

8

2

14

76

10

2

15

64

12

2

16

50

14

2

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