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Chapter 3: Derivatives – Tangent Lines, Rates of Change, and Differentiation Rules

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Section 3.1 Tangent Lines and the Derivative at a Point

Finding a Tangent Line to the Graph of a Function

The tangent line to a curve at a given point provides the best linear approximation to the curve near that point. The concept of the derivative is rooted in the idea of the slope of this tangent line.

  • Slope of the Tangent Line: At a point on the curve , the slope of the tangent line is defined as

$

  • Tangent Line: The tangent line at is the line through with this slope.

Example

  • Given , find the slope at any point and specifically at .

  • Find where the slope equals .

  • Analyze how the tangent line changes as varies.

Solution

  • For , the slope at is

$

  • At , the slope is .

  • The slope is when , so or .

  • As , the slope approaches and the tangent line becomes increasingly steep.

Rates of Change: Derivative at a Point

The derivative at a point measures the instantaneous rate of change of a function at that point.

  • Definition: The derivative of at is

$

  • Example: For , the speed of a falling rock at is

$

So, the speed at is 32 ft/sec.

Summary of Interpretations

  • The limit of the difference quotient represents:

    • The slope of the graph at

    • The slope of the tangent line to at

    • The rate of change of with respect to at

    • The derivative

Section 3.2 The Derivative as a Function

The Derivative as a Function

The derivative can be viewed as a function that assigns to each the value of the derivative at .

  • Definition:

$

  • Alternative form:

$

Calculating Derivatives from the Definition

  • Example: Differentiate .

  • Solution:

$

Notation

  • Common notations for the derivative include:

$

  • To indicate the value at :

$

Graphing the Derivative

  • To graph , plot the slopes of tangent lines to at various points and connect these points smoothly.

Differentiability and One-Sided Derivatives

Differentiable on an Interval; One-Sided Derivatives

  • A function is differentiable on an open interval if it has a derivative at every point in the interval.

  • On a closed interval , is differentiable if it is differentiable on and the following limits exist:

ab$

  • Example: The square root function is not differentiable at because the tangent is vertical there.

When Does a Function Not Have a Derivative at a Point?

  • A function fails to have a derivative at a point if:

    • There is a corner (one-sided derivatives differ)

    • There is a cusp (slopes approach from one side and from the other)

    • There is a vertical tangent (slopes approach from both sides)

    • There is a discontinuity

    • There is wild oscillation

Differentiable Functions Are Continuous

  • Theorem: If has a derivative at , then is continuous at .

  • Caution: The converse is not true; a function can be continuous but not differentiable at a point.

Section 3.3 Differentiation Rules

Powers, Multiples, Sums, and Differences

  • Derivative of a Constant Function: If , then

$

  • Derivative of a Power: For any real :

$

  • Examples:

$

  • Constant Multiple Rule: If is differentiable and is a constant,

$

  • Sum Rule: If and are differentiable,

$

  • Example: For ,

$

Additional info: The slides continue with further differentiation rules, including the Product and Quotient Rules, and applications to exponential and trigonometric functions.

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