Blog · Calculus guides · 7 November 2026 · 4 min read
By the Asymptote team. Every answer on this page is checked by the same machine that grades the game.
Linear Approximation: Formula, 3 Examples & Practice Problems

Linear approximation estimates a function near a point using its tangent line there: . Pick an close to where and are easy to work out, then plug in. For example, .
The formula
The tangent line, wearing a lab coat. Up close, every smooth curve looks straight, which is the most useful lie in calculus.
When to use it
Use it when you need a quick estimate of a function at a value that is awkward to compute, like , or , but sits right next to one that is easy, like , or . It also appears as "find the linearization of at ", which just means write down , and in physics whenever someone says "for small angles". The closer is to , the better it works. Far away, the curve bends off and the line carries on regardless. It is also the idea behind Newton's method for solving equations, which follows tangent lines down to a root.
How to do it, step by step
- Choose a nice . Pick the point nearest to where you know exactly: a perfect square, a perfect cube, an angle from the unit circle.
- Find and . Differentiate , then evaluate both at . is the slope of the tangent line.
- Write the linearization. . It is the point-slope form of the tangent line with a new name.
- Plug in . . If asked, say whether it is an over- or underestimate: where the curve is concave down the line sits above it, so the estimate is too big.
Worked examples
Example 1: A square root near a perfect square
EasyUse linear approximation to estimate .
Take and , since is easy.
Now put in . The step away from is , and a quarter of that is .
A calculator says , so the line is out by about . Not bad for no calculator.
Answer
Example 2: A cube root
MediumUse linear approximation to estimate .
Use at , where . By the power rule,
To get , take the cube root first and then square: the numbers stay small that way round.
A calculator gives , so the estimate is good to four decimal places. The cube root curve is concave down for , so the line should overshoot slightly, and it does: .
Answer
Example 3: An angle in degrees
HarderUse linear approximation to estimate .
The easy neighbour is . But the derivative of sine is cosine only in radians, so convert first: , and the extra is .
Take at . Then and .
That is , against a true value of . Sine is concave down here, so the line sits just above the curve and the estimate is slightly too big, as predicted.
Had you used a step of 1 instead of , you would have got , which is a remarkable value for a sine.
Answer
Linear approximation practice problems
Three to try, easy to harder. Type an answer and it is checked instantly by the same checker that grades the game; any correct form counts. Stuck? The answer and the first step are under each one.
Problem 1
EasyUse the linearization of at to estimate:
Stuck? Show the answer
Answer
How to start
and , so . The step from is .
Problem 2
MediumUse the linearization of at to estimate:
Stuck? Show the answer
Answer
How to start
and , so . Multiply that by the step, .
Problem 3
HarderUse the linearization of at to estimate:
Stuck? Show the answer
Answer
How to start
. By the chain rule , so .
Want more? Asymptote has 900 related problems, free, with no account.
Common mistakes
- Using an that is not easy. The whole point is that is known exactly. Linearizing at to estimate is going round in a circle.
- Forgetting the . is a number, not a line. The slope has to multiply the step away from .
- Degrees in a trig derivative. only holds in radians. Convert the small step to radians before you multiply by it.
- Trusting it far from . The line hugs the curve near and drifts away from it. linearized at gives , which is off by a quarter.
- Writing the estimate as exact. Use , not . is not ; it is very close to it, and knowing the difference is part of the question.
Practice it now
Five minutes, no account
The game has no linear approximation problems as such. The closest thing is in Sprint: finding , and the slope of the tangent line at a point, which is the half of every linear approximation that takes any calculus.
FAQ
- Is linear approximation the same as the tangent line?
- Yes. The linearization is the equation of the tangent line at , and linear approximation means using that line to estimate values of nearby.
- What is the formula for linear approximation?
- , for close to .
- How do you tell if it is an overestimate or an underestimate?
- Look at the concavity at . Concave up (): the tangent line lies below the curve, so it underestimates. Concave down: it overestimates. See concavity and inflection points.
- Is linearization the same as differentials?
- Same idea, different bookkeeping. The differential estimates the change in , and is plus that change.
- Why does linear approximation work?
- Because a differentiable function is one that looks more and more like a straight line as you zoom in on it, and the tangent line is that straight line. The error shrinks roughly like the square of the step, so halving the distance from makes the estimate about four times better.
- Where can I find linear approximation practice problems?
- Right on this page: the practice problems section has three linear approximation problems, easy, medium and harder, with the answer and the first step under each one, and a box that checks what you type with the same checker that grades Asymptote. The game has 900 related problems after that, free and with no account: try a five-minute Sprint.
Keep going
Power Rule: d/dx xⁿ = nxⁿ⁻¹, 3 Examples & Practice Problems
The power rule: d/dx xⁿ = nxⁿ⁻¹. Roots, fractions and negative powers, 3 step-by-step examples and practice problems with answers, checked instantly.
Derivatives of Trig Functions: Table & Practice Problems
Derivatives of sin, cos, tan, cot, sec and csc in one table: (sin x)' = cos x, (cos x)' = −sin x. A trick for the signs, 3 examples and practice problems.
Optimization Problems: 3 Examples & Practice Problems
Optimization problems: write one function of one variable, set f'(x) = 0, check the endpoints. The box, the fence and more: 3 examples and practice problems.