Table of Contents

Last modified on February 19th, 2025

chapter outline

 

Linear Approximation

Linear approximation is a method used to estimate the value of a function near a given point by using the equation of its tangent line at that point.

Here, a differentiable function behaves like a straight line when examined on a sufficiently small scale. By using the first-degree Taylor expansion, we approximate the function with its tangent line, which has the same slope as the function at a given point.

Mathematically, the linear approximation of a function f(x) near x = a is given by:

L(x) = f(a) + f’(a)(x – a)

Here,

  • L(x) is the linear approximation
  • f(a) is the function value at x = a
  • f’(a) is the derivative of f(x) at x = a
  • (x – a) represents the small change from the point of approximation

This approximation is particularly effective when x is close to a, as the actual function and its tangent line remain nearly indistinguishable in a local neighborhood. 

Steps

Now, let us estimate ${\sqrt{4.1}}$ without directly calculating the square root.

Step 1: Defining the Function

The function can be expressed as:

f(x) = ${\sqrt{x}}$

Since square roots can be difficult to calculate mentally, we will approximate it using the tangent line at a nearby simple value.

Step 2: Choosing a Reference Point x = a Close to 4.1

To approximate ${\sqrt{4.1}}$, we select a value close to 4. Since ${\sqrt{4}}$ is easy to calculate, so we choose a = 4

f(4) = ${\sqrt{4}}$ = 2

Step 3: Finding the Derivative of f(x) 

Since linear approximation relies on the slope of the tangent line, we first compute the derivative of f(x) = ${\sqrt{x}}$:

f’(x) = ${\dfrac{1}{2\sqrt{x}}}$

Step 4: Evaluating the Derivative at x = 4 

Now, substituting x = 4 into the derivative formula, we get

f’(4) = ${\dfrac{1}{2\sqrt{4}}}$ = ${\dfrac{1}{2\left( 2\right) }}$ = ${\dfrac{1}{4}}$

This means that at x = 4, the slope of the tangent line is ${\dfrac{1}{4}}$

Step 5: Applying the Linear Approximation Formula

The general formula for linear approximation is:

L(x) = f(a) + f’(a)(x – a)

Substituting the known values:

f(4) = 2

f’(4) = ${\dfrac{1}{4}}$

a = 4

Now, L(x) = ${2+\dfrac{1}{4}\left( x-4\right)}$

Step 6: Approximating ${\sqrt{4.1}}$

Now, substituting x = 4.1 into the linear approximation formula, we get

L(4.1) = ${2+\dfrac{1}{4}\left( 4.1-4\right)}$

⇒ L(4.1) = ${2+\dfrac{0.1}{4}}$

⇒ L(4.1) = ${2+0.025}$

⇒ L(4.1) = ${2.025}$

Thus, the approximation for ${\sqrt{4.1}}$ is 2.025

Step 7: Calculating the Error

To check the accuracy of our approximation, we compare it with the actual value obtained using a calculator:

${\sqrt{4.1}}$ ≈ 2.0248

The absolute error is (2.025 – 2.0248) = 0.0002

The percentage error is (0.0002 × 100)% = 0.02%

Since the error is very small, this confirms that linear approximation works well for small changes in x.

Solved Examples

Problem: Linear approximation of a POLYNOMIAL function at a Point

Write an approximate equation of the line of best fit for the function f(x) = x3 – 4x + 2 near x = 1 and use it to estimate f(1.1)

Solution:

Given, f(x) = x3 – 4x + 2
Since the initial value is at x = 1
Evaluating f(1), 
f(1) = (1)3 – 4(1) + 2 = 1 – 4 + 2 = -1
Differentiating f(x),
f’(x) = 3x2 – 4
Now, evaluating f’(1),
f’(1) = 3(1)2 – 4 = 3 – 4 = -1
As we know, the linear approximation formula is:
L(x) = f(a) + f′(a)(x – a)
Substituting the values, 
L(x) = -1 + (-1)(x – 1) 
⇒ L(x) = -1 – x + 1
⇒ L(x) = -x
Thus, the approximate equation of the line of best fit is: L(x) = -x
Now, we need to approximate f(1.1) using linear approximation.
Substituting x = 1.1,
L(1.1) = -(1.1) = -1.1
Thus, the approximation is L(1.1) = -1.1

Problem: Linear Approximation of a CUBE ROOT function

Approximate ${\sqrt[3] {8.1}}$ using linear approximation at x = 8

Solution:

Given, the function is f(x) = ${\sqrt[3] {x}}$ = ${x^{\dfrac{1}{3}}}$
We need to approximate f(8.1)
Since the initial value is at x = 8
Evaluating f(8),
f(8) = ${\sqrt[3] {8}}$ = 2
Differentiating f(x),
f’(x) = ${\dfrac{1}{3}x^{-\dfrac{2}{3}}}$
Now, evaluating f’(8),
f’(8) = ${\dfrac{1}{3}8^{-\dfrac{2}{3}}}$
⇒ f’(8) = ${\dfrac{1}{3}\times \left( \dfrac{1}{8}\right) ^{\dfrac{2}{3}}}$
⇒ f’(8) = ${\dfrac{1}{3}\times \left( \dfrac{1}{8^{\dfrac{1}{3}}}\right) ^{2}}$
Since ${8^{\dfrac{1}{3}}}$ = 2,
⇒ f’(8) = ${\dfrac{1}{3}\times \left( \dfrac{1}{2}\right) ^{2}}$
⇒ f’(8) = ${\dfrac{1}{3}\times \dfrac{1}{4}}$
⇒ f’(8) = ${\dfrac{1}{12}}$
As we know, the linear approximation formula is:
L(x) = f(a) + f′(a)(x – a)
Substituting the values, 
L(x) = ${2+\dfrac{1}{12}\left( x-8\right)}$ 
Substituting x = 8.1,
L(8.1) = ${2+\dfrac{1}{12}\left( 8.1-8\right)}$ 
⇒ L(8.1) = ${2+\dfrac{1}{12}\left( 0.1\right)}$
⇒ L(8.1) = 2 + 0.0083 = 2.0083
Thus, the approximation value of ${\sqrt[3] {8.1}}$ is 2.0083

Problem: Linear Approximation of an EXPONENTIAL function

Approximate e0.02 using linear approximation at x = 0

Solution:

Given, the function is f(x) = ex 
We approximate e0.02 using linear approximation at x = 0
Since the initial value is at x = 0
Evaluating f(0),
f(0) = e0 = 1
Differentiating f(x),
f’(x) = ex 
Now, evaluating f’(0),
f’(0) = e0 = 1
As we know, the linear approximation formula is:
L(x) = f(a) + f′(a)(x – a)
Substituting the values, 
L(x) = 1 + 1(x – 0) = 1 + x
Substituting x = 0.02,
L(0.02) = 1 + 0.02 
⇒ L(0.02) = 1.02Thus, the approximation value of e0.02 is 1.02

Last modified on February 19th, 2025