Measuring Change: Differnetiation

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15 Terms

1

First Derivative test

  • Turning points (set equal to zero) - put y back into original equation to find the y coordinate

  • Turning points can also be stationary points

  • Looking for a minimum and a maximum

  • if f’ is larger than zero then there is a maximum

  • If f’ is smaller that zero then there is minimum

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2

How do you find a local maximum

Find the first derivate, if larger that zero then there is a local maximum

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3

How do you find a local minimum

Find the first derivative, if smaller than zero then there is a local minimum

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4

Global Minimum

The value of y is the smallest attained in the functions domain

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5

Global maximum

The value of y is the greatest attained on the entire domain

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6

Local maximum

A TURNING POINT where the gradient (slope) is positive

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7

Local minimum

Where the TURNING POINT (going to be on a gradient) has a negative sign

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8

(Test) The second derivative

  • To find the points of inflection

  • Find the maxima and minima

  • Using concavity - determined on positive or negative to the direction of concavity

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9

How do you know if your function is concave up (local minimum)

If f’’ is smaller that 0 then there is a local minimum (a minimum on a concavity)

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10

How do you know if your function is concave down

f’’ will be larger than zero (you will have a local maximum)

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11

What do you do if f’’ is = 0

Inconclusive - look the first derivative f’

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12

Inflection points

Corresponds to a change in concavity - placed where there is a change in concavity

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13

Concave down (from inflection point)

When f’’ is smaller than zero

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14

Concave up (from inflection point)

When f’’ is larger than 0

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15

Horizontal point of inflection

When f’ =0 the slope (gradient) is parallel to the x axis

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