Increasing & Decreasing Functions
What are increasing and decreasing functions?
- A function, f(x), is increasing if f'(x) > 0
- This means the value of the function (‘output’) increases as x increases
- A function, f(x), is decreasing if f'(x) < 0
- This means the value of the function (‘output’) decreases as x increases
- A function, f(x), is stationary if f'(x) = 0
How do I find where functions are increasing, decreasing or stationary?
- To identify the intervals on which a function is increasing or decreasing
STEP 1 Find the derivative f'(x)
STEP 2 Solve the inequalities f'(x) > 0 (for increasing intervals) and/or f'(x) < 0 (for decreasing intervals)
- Most functions are a combination of increasing, decreasing and stationary
- a range of values of x (interval) is given where a function satisfies each condition
- e.g. The function has derivative so
- is decreasing for
- is stationary at
- is increasing for
Worked Example
a)
Determine whether is increasing or decreasing at the points where and .
b)
Find the values of for which is an increasing function.
Tangents & Normals
What is a tangent?
- At any point on the graph of a (non-linear) function, the tangent is the straight line that passes through that point and has the same gradient as the curve at that point
How do I find the equation of a tangent?
- The equation of the tangent to the function at the point is
What is a normal?
- At any point on the graph of a (non-linear) function, the normal is the straight line that passes through and is perpendicular to the tangent at that point
How do I find the equation of a normal?
- The equation of the normal to the function at the point is
Exam Tip
- You are not given the formula for the equation of a tangent and equation of a normal
- Both can be derived from the equation of a straight line which is given
Worked Example
The function is defined by
a)
Find an equation for the tangent to the curve at the point where , giving your answer in the form .
b)
Find an equation for the normal at the point where , giving your answer in the form , where , and are integers.
Local Minimum & Maximum Points
What are local minimum and maximum points?
- Local minimum and maximum points are two types of stationary point
- The gradient function (derivative) at such points equals zero
i.e.
- The gradient function (derivative) at such points equals zero
- A local minimum point, will be the lowest value of in the local vicinity of the value of
- The function may reach a lower value further afield
- Similarly, a local maximum point, will be the greatest value of in the local vicinity of the value of
- The function may reach a greater value further afield
- The graphs of many functions tend to infinity for large values of
(and/or minus infinity for large negative values of ) - The nature of a stationary point refers to whether it is a local minimum or local maximum point
How do I find the coordinates and nature of stationary points?
- The instructions below describe how to find local minimum and maximum points using a GDC on the graph of the function .
STEP 1
Plot the graph of
Sketch the graph as part of the solution
Sketch the graph as part of the solution
STEP 2
Use the options from the graphing screen to “solve for minimum”
The GDC will display the and coordinates of the first minimum point
Scroll onwards to see there are anymore minimum points
Note down the coordinates and the type of stationary point
STEP 3
Repeat STEP 2 but use “solve for maximum” on your GDC
- In STEP 2 the nature of the stationary point should be easy to tell from the graph
- a local minimum changes the function from decreasing to increasing
- the gradient changes from negative to positive
- a local maximum changes the function from increasing to decreasing
- the gradient changes from positive to negative
- a local minimum changes the function from decreasing to increasing
Worked Example
Find the stationary points of, and state their nature.