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Calculus Study Guide: Differentiation, Tangent Lines, and Applications

Study Guide - Smart Notes

Tailored notes based on your materials, expanded with key definitions, examples, and context.

Differentiation: Definitions and Techniques

Definition of the Derivative

The derivative of a function at a point measures the rate at which the function value changes as its input changes. It is defined as:

  • Definition: The derivative of f at a is given by

  • Interpretation: The derivative represents the slope of the tangent line to the graph of f at x = a.

  • Example: For at , compute using the definition above.

Equation of the Tangent Line

The tangent line to the graph of f at the point has the equation:

  • Example: Find the tangent line to at .

Graphical Interpretation of Derivatives

Piecewise Linear Functions and Their Derivatives

When a function is composed of line segments, its derivative is constant on each segment and may be undefined at the points where segments meet.

  • Key Point: The derivative of a piecewise linear function is a step function, with jumps at the points where the slope changes.

  • Example: Given a graph made of line segments, sketch the derivative by assigning the slope of each segment as the value of the derivative on that interval.

Step Functions and Their Derivatives

A step function is constant on intervals and jumps at certain points. Its derivative is zero everywhere except at the jump points, where it is undefined.

  • Key Point: The derivative of a step function is zero except at discontinuities.

Graph Matching: Functions and Their Derivatives

Identifying Derivatives from Graphs

Given a graph of a function, you may be asked to select the graph of its derivative from several options.

  • Key Point: The slope of the tangent to the function at each point corresponds to the value of the derivative at that point.

  • Example: If the function is increasing, its derivative is positive; if decreasing, negative; if constant, zero.

Continuity and Differentiability

Definitions

  • Continuous Function: A function is continuous at a point if its graph has no breaks at that point.

  • Differentiable Function: A function is differentiable at a point if its derivative exists there.

  • Key Point: Differentiability implies continuity, but continuity does not imply differentiability.

  • Example: The function is continuous everywhere but not differentiable at .

Derivative Rules and Applications

Basic Derivative Rules

  • Power Rule:

  • Product Rule:

  • Quotient Rule:

  • Chain Rule:

Derivatives of Common Functions

Higher Order Derivatives

  • Second Derivative:

  • Third Derivative:

Implicit Differentiation

Used when a function is defined implicitly rather than explicitly.

  • Example: For , differentiate both sides with respect to to find .

Applications of Derivatives

Tangent Lines

  • Equation:

  • Application: Used to approximate function values near .

Velocity and Acceleration

  • Velocity: The derivative of position with respect to time:

  • Acceleration: The derivative of velocity:

  • Example: If , then , .

Motion Problems

  • Displacement: Change in position over a time interval.

  • Average Velocity:

  • Example: For , find when the stone hits the ground by solving .

Table: Derivative Rules Summary

Rule

Formula

Example

Power Rule

Product Rule

Quotient Rule

Chain Rule

Short Answer and Multiple Choice Practice

Practice Problems

  • Find for

  • Find the equation of the tangent line for at

  • Find the body's acceleration at sec for

  • Given , find

Additional info:

  • Some problems involve matching graphs of functions to their derivatives, which is a common calculus skill.

  • Motion problems use derivatives to analyze velocity and acceleration, key applications in physics.

  • Implicit differentiation and higher order derivatives are included, indicating coverage of core calculus topics.

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