4.6 Approximating Values of a Function Using Local Linearity and Linearization

Syllabus
2020
Topic
4.6
Level

Learning objectives

Approximate a Curve with Its Tangent Line

Near x=ax=a, a differentiable function is approximately linear, so its tangent line can stand in for the curve. The linearization uses the known value f(a)f(a) and the tangent slope f(a)f'(a).

L(x)=f(a)+f'(a)(x-a),\qquad f(x)\approx L(x)\text{ for }x\text{ near }a

  1. Choose a nearby base point aa where f(a)f(a) and f(a)f'(a) are easy to evaluate.\n2. Build L(x)=f(a)+f(a)(xa)L(x)=f(a)+f'(a)(x-a).\n3. Substitute the target input into LL.\n4. Use local concavity to classify the estimate.

To approximate 4.1\sqrt{4.1}, let f(x)=xf(x)=\sqrt{x} and use a=4a=4. Since f(4)=2f(4)=2 and f(4)=1/4f'(4)=1/4, L(x)=2+14(x4).L(x)=2+\frac14(x-4). Therefore 4.1L(4.1)=2+14(0.1)=2.025.\sqrt{4.1}\approx L(4.1)=2+\frac14(0.1)=2.025.

Where the curve is concave up, it lies locally above its tangent line, so L(x)L(x) is an underestimate. Where the curve is concave down, it lies locally below its tangent line, so L(x)L(x) is an overestimate. Because x\sqrt{x} is concave down near 44, 2.0252.025 is an overestimate.

The approximation is not an identity: f(x)f(x) and L(x)L(x) agree in value and slope at x=ax=a, but their difference can grow as xx moves farther from the point of tangency.