Skip to main content
Back

Limits and Derivatives: Core Concepts and Applications

Study Guide - Smart Notes

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

Limits and Derivatives

2.1 The Tangent and Velocity Problems

The study of calculus begins with two fundamental problems: finding the tangent to a curve at a point and determining the instantaneous velocity of a moving object. Both problems lead to the concept of the derivative.

  • Tangent Problem: Involves finding the slope of the tangent line to a curve at a specific point. This is equivalent to finding the instantaneous rate of change of the function at that point.

  • Velocity Problem: Concerns finding the instantaneous velocity of an object, which is the rate of change of its position with respect to time.

  • Connection: Both problems are solved using limits, which measure how a function behaves as its input approaches a particular value.

  • Example: The slope of the tangent to the curve y = f(x) at x = a is given by the limit:

2.2 The Limit of a Function

The concept of a limit is foundational in calculus. It describes the value that a function approaches as the input approaches a certain point.

  • Definition: The limit of f(x) as x approaches a is L if f(x) gets arbitrarily close to L as x approaches a from either side.

  • Notation:

  • One-Sided Limits: Limits can be taken from the left () or right ().

  • Example:

2.3 Calculating Limits Using the Limit Laws

Limit laws provide rules for evaluating limits of functions, making calculations systematic and reliable.

  • Sum Law:

  • Product Law:

  • Quotient Law: , provided

  • Example:

2.4 The Precise Definition of a Limit

The formal (epsilon-delta) definition of a limit provides mathematical rigor to the concept of limits.

  • Definition: means that for every , there exists a such that if , then .

  • Purpose: Ensures that the function values can be made as close as desired to L by taking x sufficiently close to a.

  • Example: Prove using the epsilon-delta definition.

2.5 Continuity

A function is continuous at a point if its limit at that point equals its value there. Continuity is essential for many calculus theorems and applications.

  • Definition: f is continuous at a if .

  • Types of Discontinuity: Removable, jump, and infinite discontinuities.

  • Example: The function f(x) = x^2 is continuous everywhere.

2.6 Limits at Infinity; Horizontal Asymptotes

Limits at infinity describe the behavior of functions as x grows without bound. Horizontal asymptotes are lines that the graph of a function approaches as x approaches infinity or negative infinity.

  • Definition: means f(x) approaches L as x increases without bound.

  • Horizontal Asymptote: The line y = L is a horizontal asymptote if or .

  • Example: ; so y = 0 is a horizontal asymptote.

2.7 Derivatives and Rates of Change

The derivative measures the instantaneous rate of change of a function. It is a central concept in calculus, with applications in physics, engineering, and economics.

  • Definition: The derivative of f at a is

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

  • Example: For f(x) = x^2,

2.8 The Derivative as a Function

The derivative can be viewed as a new function derived from the original, assigning to each input the instantaneous rate of change at that point.

  • Definition: The derivative function f' is defined by

  • Notation: , ,

  • Example: If f(x) = x^3, then

Pearson Logo

Study Prep