Sensitivity Examples in Math: 45 Problems with Answers
Start with the recap, study the fully worked examples, then use the practice problems to
check your understanding of Sensitivity.
This page combines explanation, solved examples, and follow-up practice so you can move
from recognition to confident problem-solving in Math.
Concept Recap
In the context of functions, sensitivity measures how much the output changes in response to a small change in the input — high sensitivity means small input changes cause large output changes.
A sensitive scale notices tiny weight differences. An insensitive one doesn't.
Read the first worked example with the solution open so the structure is clear.
Try the practice problems before revealing each solution.
Use the related concepts and background knowledge badges if you feel stuck.
What to Focus On
Core idea:Sensitivity measures how much the output moves for a tiny change in the input — steep means very sensitive.
Common stuck point:The procedure for sensitivity is the easy part; the trap is calling a function 'sensitive' globally. Asking "Does a small change in the input produce a large change in the output here?" first is what keeps a correct-looking calculation from being attached to the wrong concept.
Sense of Study hint:Ask: Does a small change in the input produce a large change in the output here?
Worked Examples
Example 1
easy
Compute the sensitivity ΔF/Δx for F(x)=3x2 at x=5 with perturbation Δx=0.1.
Compare to derivative: F′(x)=6x, so F′(5)=30. The sensitivity approximates the derivative, with a small discrepancy due to Δx being finite.
Sensitivity ΔF/Δx measures how much the output changes per unit change in input. As Δx→0, this ratio converges to the derivative. High sensitivity means small input changes produce large output changes.
Example 2
hard
A function F(x)=ex is highly sensitive near large x. Compare the sensitivity at x=0 and x=5 using a perturbation of Δx=0.01.
Example 3
medium
A two-stage signal: stage A scales by 0.4, stage B scales by 7. Find the total sensitivity factor and decide whether a small input error grows or shrinks.
Example 4
hard
For f(x)=sinx, estimate the slope at x=π/3 and explain why the function is more sensitive to input near x=0 than near x=π/2.
Example 5
challenge
A four-stage cascade has local sensitivities 0.5,2,0.8,1.5. Compute the total sensitivity and decide whether the cascade amplifies or attenuates a small input perturbation.
Practice Problems
Try these problems on your own first, then open the solution to compare your method.
Example 1
easy
For f(x)=10x, compute the sensitivity at x=3 with Δx=0.5 and compare to Δx=0.1.
Example 2
medium
A weather model uses T(P)=0.1P2 where P is pressure. If P=10 and measurement error is ΔP=±0.5, estimate the resulting error in T.
Example 3
easy
For the linear function f(x)=5x, by how much does the output change when the input increases by 1?
Example 4
easy
Which function is more sensitive to its input near x=1: f(x)=2x or g(x)=10x?
Example 5
easy
A scale shows 100.0 g for a true 100 g object and 100.5 g when 0.5 g is added. Is this scale sensitive to small changes?
Example 6
easy
For f(x)=3x+7, what is the sensitivity of the output to the input (change in output per unit change in input)?
Example 7
easy
Does doubling the input of f(x)=4x double the output? Use this to confirm its sensitivity is constant.
Example 8
easy
True or false: a large output value automatically means the function is highly sensitive at that point.
Example 9
easy
For f(x)=100x measuring dollars per hour, what does the sensitivity 100 mean in words?
Example 10
easy
Between f(x)=x and g(x)=0.1x, which output is LESS sensitive to input changes?
Example 11
medium
For f(x)=x2, estimate the sensitivity near x=3 using f(3.1)−f(3) divided by 0.1.
Example 12
medium
For f(x)=x2, compare the sensitivity near x=1 with the sensitivity near x=5 (use the derivative 2x). Which input region is more sensitive?
Example 13
medium
A measurement passes through f(x)=2x then g(u)=3u. By what factor does a small input error get amplified by the chain g(f(x))?
Example 14
medium
An input has a ±0.2 uncertainty. After f(x)=25x, what is the approximate uncertainty in the output?
Example 15
medium
Two scales: scale A reads 1000x grams-units, scale B reads 2x grams-units, for the same input x in grams. Which is more sensitive, and why is the larger reading alone not the deciding factor?
Example 16
medium
For f(x)=x, is the output more sensitive to input near x=0.01 or near x=100? (Slope is 2x1.)
Example 17
medium
A model output is y=4a+9b. Which input parameter is the output more sensitive to, and by what ratio?
Example 18
challenge
A signal passes through three stages with local sensitivities 1.5, 0.4, and 5. Does a small input error grow or shrink overall, and by what factor?
Example 19
challenge
For f(x)=x3, the sensitivity (slope) is 3x2. Find every input where the sensitivity equals 12, and state where the function is least sensitive.
Example 20
challenge
A bank balance is B=1000(1.05)t. Its sensitivity to t grows over time. Without calculus, compare the one-year change from year 0 to year 1 with the change from year 10 to year 11, as a ratio.
Example 21
medium
For f(x)=10x, an input measured as 4±0.3 produces what output, with what uncertainty?
Example 22
medium
Two models predict the same output at x=5, but model A has slope 1 and model B has slope 8 there. If x is uncertain by ±0.1, which model's prediction is more reliable?
Example 23
easy
For f(x)=7x−2, what is the sensitivity of f to x?
Example 24
easy
For f(x)=x2, estimate the sensitivity near x=10 using 0.1f(10.1)−f(10).
Example 25
easy
For f(x)=3x+10, what does the constant 10 tell you about sensitivity? Does it affect the slope?
Example 26
easy
True or false: doubling the input always doubles the sensitivity for a linear function.
Example 27
medium
For f(x)=x3 at x=2, estimate the sensitivity using f(2.1) and f(2).
Example 28
medium
For f(x)=2x followed by g(u)=5u+1, what is the overall sensitivity of g(f(x)) to x?
Example 29
medium
An input x=8 has uncertainty ±0.4. After f(x)=15x−3, what is the output and its approximate uncertainty?
Example 30
medium
For f(x)=x near x=64, estimate sensitivity using the slope formula 1/(2x).
Example 31
medium
For f(x)=x2, find ALL inputs where the sensitivity (slope 2x) equals 14.
Example 32
medium
For f(x)=x1, compare sensitivity at x=0.5 vs x=5, using slope −1/x2.
Example 33
medium
An input x=12±0.5 is fed into f(x)=4x−9. State the output and its approximate uncertainty.
Example 34
medium
For f(x)=2x, where is the function more sensitive: near x=0 or near x=10?
Example 35
hard
For f(x)=x3−12x, find the input where f is least sensitive (slope smallest in magnitude).
Example 36
hard
For f(x)=lnx, the sensitivity is 1/x. By what factor is f more sensitive at x=0.5 than at x=50?
Example 37
hard
Two predictive models for output y given x: M1 has ∣y′(x)∣=2.5 and M2 has ∣y′(x)∣=0.4 at the operating point. If x is measured with ±0.1 uncertainty, which model's prediction has lower output uncertainty?
Example 38
medium
For f(x)=4x2, find the sensitivity at x=3 using the derivative.
Example 39
challenge
For y=xa with a>0, find the value of x where the elasticity E=(x/y)⋅y′ equals 1 in general for arbitrary a — and determine for which a the elasticity is always 1.
Example 40
challenge
For f(x)=x+1x, compute the sensitivity at x=0 and at x=10, and decide which input has the more robust output.