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AP Calculus AB
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Introduction
1. Limits
2. Derivative basics
3. Advanced differentiation
4. Contextual uses
4.1 Derivatives in context
4.2 Straight-line motion
4.3 Related rates
4.4 Linear approximations
4.5 L'Hopital's rule
5. Analytical uses
6. Integration
7. Differential equations
8. Applications of integrals
9. Testing details tag
10. test
Wrapping up
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4.4 Linear approximations
Achievable AP Calculus AB
4. Contextual uses
Our AP Calculus AB course is currently in development and is a work-in-progress.

Linear approximations

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What you’ll learn:

  • Use the tangent line equation to approximate function values near a known point
  • Understand how concavity affects whether approximations over- or underestimate actual values

When you don’t know the exact value of a function, you can still get a quick estimate with a tangent line. Since the tangent line closely resembles a function near the point of tangency, its equation can be used to approximate values near the known point. This is a technique known as local linear approximation (or tangent line approximation).

Linearization L(x)

L(x)=f(a)+f′(a)(x−a)

Notice that this is just the formula for the equation of the tangent line at x=a. By plugging in some value x1​ close to a, the linear approximation L(x1​) estimates the actual value that is f(x1​).

Figure 4.4.1 Linear approximation
Figure 4.4.1 Linear approximation

Example

1. Estimate 2.013 using a linear approximation.

Solution

1. Determine f(x) and the known point.

Define

f(x)=x3

x=2.01 is close to a=2 and f(2)=8 is an easy calculation.

2. Find the equation of the tangent line at the known point/point of tangency.

The derivative of f(x) is

f′(x)=3x2

At the point of tangency (2,8), the slope of the tangent line is

f′(2)=3(2)2=12

In point-slope form, the equation is

y−8=12(x−2)

Moving the known y-coordinate to the other side,

y=8+12(x−2)

Replace y with L(x). This equation is the linearization of f(x) at x=2.

L(x)=8+12(x−2)

3. Approximate the desired function value

We want the function value for x=2.01, so plug that into x:

L(2.01)=8+12(2.01−2)

=8+12(0.01)

=8.12​

The actual value (using a calculator) is 8.120601, so our estimate is pretty close!

2. Estimate 15​ with a linear approximation.

Solution

(spoiler)

1. Determine f(x) and the known point.

f(x)=x​

x=15 is close to a=16 and f(16)=4. So the known point is (16,4). For now, we at least know that 15​ will be a little less than 4.

2. Find the equation of the tangent line at the known point/point of tangency.

f′(x)=2x​1​

f′(16)=216​1​

=81​

Then the linear approximation formula is:

L(x)=4+81​(x−16)

3. Approximate the desired function value

Plug in 15 for x.

L(15)=4+81​(15−16)

=387​

=3.875​

Inputting 15​ into a calculator gives ≈3.872… so our estimate is fairly close!

Curvature

Linear approximations are more accurate the closer x is to a, but the accuracy also depends on how curved the function is near that point.

The 2nd derivative f′′(x) tells us about the concavity of a function - whether the graph bends upward or downward. More on concavity and its uses will be discussed later. For now, just remember:

  • If f′′(x)>0, then f(x) is concave up - shaped “like a cup.”
    • Tangent lines will lie below f(x) and underestimate the actual value.
  • If f′′(x)<0, then f(x) is concave down - shaped “like a frown.”
    • Tangent lines will lie above f(x) and overestimate the actual value.

The following image shows how tangent lines always lie below a curve that is concave up and above a curve that is concave down.

Figure 4.4.2 Tangent lines and concavity
Figure 4.4.2 Tangent lines and concavity

3. Approximate ln(1.1). Is this an overestimate or underestimate?

Solution

(spoiler)

1. Determine f(x) and the known point.

f(x)=ln(x).

The known point is (1,0) since ln(1)=0.

2. Find the equation of the tangent line at the known point/point of tangency.

f′(x)=x1​

f′(1)=1

Then the equation of the tangent line is

y−0=1(x−1)

The linearization of f(x) at x=1 is

L(x)=x−1

3. Approximate the desired function value

The approximation of ln(1.1) is

L(1.1)=1.1−1

=0.1​

Without using a calculator, we can determine if this under- or over-estimates the actual value. The 2nd derivative is

f′′(x)=−x21​

f′′(x)<0 for any value of x, which means the graph of f(x) is entirely concave down. So the tangent line approximation is an *overestimate." This can be confirmed by entering ln(1.1) into a calculator, which gives ≈0.095….

Estimate e0.02 with a linear approximation. Is this an overestimate or an underestimate?

Solution

(spoiler)

Let’s define f(x)=ex.

1. Determine f(x) and the known point.

x=0.02 is close to a=0. So the known point is (0,1).

2. Find the equation of the tangent line at the known point/point of tangency.

f′(x)=ex

f′(0)=1

Then the linearization at x=0 is:

L(x)=1+1(x−0)

=1+x

3. Approximate the desired function value

Plug in x=0.02 to estimate e0.02:

L(0.02)=1+0.02

=1.02​

To determine if this is an overestimate or an underestimate, determine the concavity at a=0:

f′′(x)=ex

f′′(0)=1

Even without plugging in a, we know that ex is always positive no matter what value is inputted. So f(x)=ex is always concave up and all linear approximations will underestimate the actual value. The calculator confirms that e0.02≈1.0202… which is greater than just 1.02.

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