Linearization and Tangent Line Approximation
If you zoom in far enough on a smooth curve, it starts to look like a straight line: its tangent line. That idea, called local linearity, lets you estimate hard-to-compute values like or using nothing more than a line. On the AP exam, tangent line approximations appear often, usually with a follow-up question: is your estimate too big or too small?
Key ideas
Section titled “Key ideas”Local linearity
Section titled “Local linearity”If is differentiable at , then near the graph of is very close to its tangent line. The closer is to , the better the match.
The linearization
Section titled “The linearization”The tangent line at passes through with slope . Written as a function, it is the linearization of at :
For near :
This is the same line as the point-slope form , just solved for .
Choosing a
Section titled “Choosing a”Pick so that and are easy to find exactly, and is close to the value you want. To estimate , use . To estimate , use .
Overestimate or underestimate?
Section titled “Overestimate or underestimate?”The concavity of between and tells you which side of the curve the tangent line is on:
| Concavity | Tangent line is | Approximation is |
|---|---|---|
| Concave up, | below the curve | an underestimate |
| Concave down, | above the curve | an overestimate |
On the AP exam, justify with the second derivative: ” on the interval, so the graph is concave down there, and the tangent line lies above it. The approximation is an overestimate.”
In context
Section titled “In context”In a word problem, the linearization reads: “new value value now rate now time elapsed”. If a tank holds L at min and is filling at L/min, then about min later it holds about L.
Worked examples
Section titled “Worked examples”Example 1: Estimating a square root
Section titled “Example 1: Estimating a square root”Use a tangent line approximation to estimate . Is your estimate too big or too small?
Solution. Let and . Then and
Check the concavity: for , so is concave down and the tangent line lies above the curve. The estimate is an overestimate. (Check: a calculator gives , a little less.)
Example 2: Linearizing ln x
Section titled “Example 2: Linearizing ln x”Find the linearization of at , and use it to estimate .
Solution. and , so :
Since , the graph is concave down, so is an overestimate. (The true value is about .)
Example 3: Working from given values
Section titled “Example 3: Working from given values”A function has and , and for all . Estimate and say whether the estimate is too big or too small.
Solution.
means is concave up, so the tangent line lies below the graph. The estimate is an underestimate.
Example 4: A tank filling
Section titled “Example 4: A tank filling”is the volume of water in a tank, in litres, minutes after a pump is turned on. and . Use the tangent line at to estimate . If for , is the estimate too big or too small?
Solution.
About litres. Since , the graph is concave down: the rate of filling is slowing, so the tangent line (which assumes the rate stays at L/min) lies above the graph. The estimate is an overestimate.
Common mistakes
Section titled “Common mistakes”Using in place of in the formula. The point of the linearization is that you only need values at . Write and plug in numbers for and .
Choosing an that’s far away or awkward. For , is ideal. Using would work in principle but gives a poor estimate.
Getting the concavity rule backwards. Concave up means the curve bends upward away from the tangent line, so the line is below: underestimate. Picture and its tangent at the origin.
Justifying with the first derivative. Whether is increasing or decreasing has nothing to do with over- or underestimating. Use (concavity).
Forgetting what the tangent line means in context. In Example 4, the estimate assumes the rate stays at L/min. If the rate is really slowing down, the estimate is too big.
Practice
Section titled “Practice”1. (Warm-up) Find the linearization of at and use it to estimate . Is the estimate too big or too small?
Solution
and , so .
, so the graph is concave up and is an underestimate. (Indeed .)
2. (Warm-up) and . Estimate .
Solution
3. (Warm-up) Use a tangent line approximation to estimate .
Solution
Let and . Then and
4. (Core) Use the tangent line to at to estimate . Is your estimate an overestimate or an underestimate? Justify.
Solution
and , so and .
for all , so the graph is concave up and the tangent line lies below it. The estimate is an underestimate. (The true value is about .)
5. (Core) Let . Use the linearization at to estimate , and decide whether it’s too big or too small.
Solution
and , so .
near , so is concave up there and is an underestimate. (The true value is .)
6. (Core) Find the linearization of at (radians), and use it to estimate to 3 decimal places.
Solution
and , so .
(A calculator gives ; the estimate is a slight underestimate, since is concave up on .)
7. (Core) is the depth of snow on the ground, in centimetres, hours after midnight. and .
- (a) Estimate the depth at 4:24 a.m.
- (b) If for , is your estimate too big or too small? Explain.
Solution
(a) 4:24 a.m. is hours.
About cm.
(b) , so the graph of is concave down and the tangent line lies above it. The estimate is too big (an overestimate).
8. (Challenge) A function has and . Estimate and decide whether it’s an overestimate or an underestimate.
Solution
, so
Differentiate to find the concavity:
which is positive for . So is concave up near , and is an underestimate.
9. (Challenge) The curve passes through . Use the tangent line at that point to estimate the -value on the curve near when .
Solution
Differentiate implicitly:
At : .
(Check: solving gives , very close.)