IB Mathematics: Applications and Interpretation HL 6 Sections80 LessonsLifetime
Introduction to differentiation AI HL
Lesson 5.1 · Introduction to Differentiation
Limits, gradients of curves, instantaneous rates of change and their meaning in context.
Go and share the good news
Jesus told his disciples, “Go ye into all the world, and preach the gospel to every creature” (Mark 16:15, KJV). His command reaches beyond familiar places and people. The good news is that Jesus Christ died for our sins and rose again; through him, people are invited to repent, believe and receive life in his name.
In Acts 8:26–40, Philip obeyed God’s direction, met an Ethiopian traveller and explained the Scripture to him. Philip began where the man was and “preached unto him Jesus” (Acts 8:35, KJV). We, too, can listen carefully, explain the gospel clearly and share it with every person God places in our path. As we study how a quantity changes at a particular moment, consider how a timely conversation can open an opportunity to tell someone about Christ.
Learning objectives
By the end of this lesson, you should be able to:
- estimate a limit from a table or graph and distinguish it from the value of the function at that point;
- calculate and interpret an average rate of change from two points;
- estimate the gradient of a tangent and interpret it as an instantaneous rate of change;
- recognise
as the gradient function and use appropriate derivative notation; - use a graphical display calculator (GDC) to estimate a derivative, stating units and meaning.
1. What is a limit?
A limit describes the value a function approaches as its input moves closer to a particular number. We inspect values from both sides of that number. For example, let
for
.
As
approaches
, the output approaches
. We write:
![]()
Here
is undefined because the denominator would be zero. The limit still exists: a limit concerns nearby inputs, not necessarily the function’s value at the point. For this lesson, estimate limits from tables or graphs; formal analytic methods for evaluating limits are not required.
2. Average rate of change · A secant line
For points
and
on a curve, the straight line through them is a secant. Its gradient is the average rate of change over the interval:
![]()
If
measures displacement in metres and
measures time in seconds, the average rate has units of metres per second.
The displacement of an object is
metres. Between
and
seconds,
m and
m. Therefore:
![]()
The object’s average velocity over these two seconds is
. This does not tell us its exact velocity at every moment in the interval.
3. Instantaneous rate of change · A tangent line
To estimate the rate at
, compare the displacement at
seconds with displacement at a nearby time
. As
gets closer to zero, the secant gradient approaches the gradient of the tangent at
:
![]()
| Secant gradient ( |
|---|
The gradients approach
from both sides. The derivative of
at
is
, the instantaneous velocity at that time. Informally:
![Rendered by QuickLaTeX.com \[s'(3)=\left.\frac{\mathrm{d}s}{\mathrm{d}t}\right|_{t=3}=8\text{ m s}^{-1}\]](https://i0.wp.com/alphyschool.org/wp-content/ql-cache/quicklatex.com-a7096971cf9381db25fef1fcf1126c25_l3.png?resize=220%2C50&ssl=1)
We can write the general idea as
when that limit exists. Here it expresses the meaning of a derivative; formal limit calculations are not the focus of this lesson.
Reading derivatives correctly
| Notation | Meaning | Typical interpretation |
|---|---|---|
| Derivative or gradient function | Gradient at each suitable value of |
|
| Derivative at |
Gradient of one tangent; one instantaneous rate | |
| Rate of change of displacement with time | Velocity, in distance per unit time | |
| Rate of change of volume with time | Volume per unit time |
Positive derivative: the function is increasing locally. Negative derivative: it is decreasing locally. Zero derivative: the tangent is horizontal; a turning point is possible, but not guaranteed.
4. The gradient function and the tangent
For
, the same nearby-time calculation at a general time gives a tangent gradient of
. Thus:
![]()
The derivative is itself a function: at
the instantaneous velocity is
; at
it is
. A tangent through
with gradient
has equation:
![]()
For
, use a GDC or a nearby-point table to estimate
. Since
, the tangent at
passes through
:
![]()
Check: the tangent and curve have the same height and gradient at
.
Using a TI-84 Plus CE
- Enter the function in Y= and set a window around the input you are investigating.
- Press MATH → 8:nDeriv( and enter the function, variable and input, for example nDeriv(Y1,X,3). You can insert Y1 from VARS → Y-VARS → Function.
- Alternatively, on the graph use 2nd → TRACE (CALC) → 6:dy/dx, then enter the required
-value. - Interpret the result with its units. If the question asks for a tangent equation, also calculate the corresponding function value.
A numerical derivative is an approximation. If a graph has a sharp corner or a jump, inspect it carefully: the derivative at that point may not exist.
IB-style Paper 1 · Skill practice
Show your method and give units where appropriate. Use a GDC unless a question asks you to use a table. Mark allocations are shown in square brackets.
Question 1 · Limit from a table [4 marks]
For
, let
. Values of
at
,
,
and
are
,
,
and
, respectively.
- Estimate
. [2] - State whether
is defined and explain why your answer to part (a) is still possible. [2]
Show solution
(a) Values from both sides approach
, so the estimated limit is
. (b)
is undefined because the denominator is
at
. The limit concerns values arbitrarily close to
, not the value at
itself.
Question 2 · From secants to a tangent [7 marks]
Let
.
- Find
and show that
for
. [3] - Evaluate this secant gradient for
and
. [2] - Estimate the tangent gradient at
and find the equation of the tangent. [2]
Show solution
(a)
and
; dividing by
gives
. (b) The gradients are
and
. (c) They approach
. The tangent passes through
, so
.
Question 3 · Gradient of a cubic [5 marks]
Let
.
- Use your GDC to estimate
and
. [2] - Find
and
. [1] - Explain what
says about the tangent and find the tangent equation at
. [2]
Show solution
(a)
and
(numerically). (b)
and
. (c) The tangent at
is horizontal. At
the tangent has gradient
and passes through
, so
, or
.
Question 4 · Average and instantaneous velocity [5 marks]
The displacement of a particle after
seconds is
metres,
.
- Find the average velocity between
and
. [2] - Estimate its instantaneous velocity at
using your GDC. [2] - State the units of both answers. [1]
Show solution
m and
m. (a) Average velocity
. (b) The numerical derivative at
is
. (c) Both are measured in metres per second. They happen to agree here because the interval is centred at
for this quadratic model.
IB-style Paper 2 · Applications
Question 5 · Cooling liquid [8 marks]
The temperature of a liquid is modelled by
degrees Celsius, where
is the time in minutes after cooling begins,
.
- Find the initial temperature and the temperature after
minutes. [2] - Calculate the average rate of change of temperature over the first
minutes. [2] - Use your GDC to estimate
, giving your answer to three significant figures. [2] - Interpret the sign and units of
in this context. [2]
Show solution
(a)
and
. (b)
. (c) A numerical derivative gives
. (d) At exactly
minutes, the modelled temperature is falling at about
per minute. The negative sign indicates cooling.
Question 6 · Marginal manufacturing cost [8 marks]
The cost of producing
units in one day is modelled by
euros, for
.
- Calculate the average change in cost per additional unit from
to
. [2] - Use your GDC to find
and state its meaning and units. [3] - Use
to estimate the additional cost of making ten units after the first
. Compare your estimate with the actual modelled additional cost. [3]
Show solution
(a)
and
, so the average change is
per unit. (b)
euros per unit; near a production level of
, the cost increases by about €16 for one additional unit. (c) The tangent estimate for ten additional units is
. The actual modelled change is €164. The €4 difference arises because the rate increases as
increases.
Question 7 · Interpreting measurements [6 marks]
Water is pumped into a tank. The table shows the volume
, in litres, after
minutes.
- Calculate the average rate of change of volume from
to
, and from
to
. [3] - Use your answers to estimate
, with units. [2] - Explain what your estimate describes physically. [1]
Show solution
(a) Before
:
L/min. After
:
L/min. (b) These nearby gradients bracket an estimate of
L/min; equivalently, the centred estimate is
L/min. (c) At
minutes, the amount of water in the tank is increasing at approximately
litres per minute.
Exam checklist
For an average rate, use two function values and divide by the change in input. For an instantaneous rate, find the tangent gradient or a numerical derivative at one input. Examine both sides when estimating a limit. State what your answer means, give its units, and check that it lies within the model’s domain.