Skip to main content
Back

Limits at Infinity and Horizontal Asymptotes in Business Calculus

Study Guide - Smart Notes

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

Limits at Infinity

Understanding Limits at Infinity

In calculus, the concept of a limit at infinity describes the behavior of a function as the input variable grows without bound in the positive or negative direction. This is essential for analyzing long-term trends in business models and understanding asymptotic behavior.

  • Definition: means that as increases without bound, the values of approach .

  • Similarly, means as decreases without bound, approaches .

  • Not all functions approach a finite value as becomes very large or very small; some may diverge to , , or oscillate without settling.

Example:

  • For , as or , because the highest degree terms dominate.

  • Numerical check:

Formal Definition of Limits at Infinity

  • Limit at Infinity: if approaches as increases without bound.

  • Limit at Negative Infinity: if approaches as decreases without bound.

  • Some functions do not approach a finite value (e.g., oscillates between and $1x \to \infty$).

Horizontal Asymptotes

Definition and Identification

A horizontal asymptote is a horizontal line that the graph of approaches as tends to or .

  • If or , then is a horizontal asymptote.

Example:

  • For , is a horizontal asymptote because both and equal $1$.

Domain and Intercepts

  • Domain: For , the domain is all real numbers except (where the denominator is zero).

  • Y-intercept:

  • X-intercept: Set numerator to zero: has no real solutions, so there are no x-intercepts.

Intersection with Horizontal Asymptote

  • To check if the graph crosses the horizontal asymptote, solve :

  • (contradiction).

  • Thus, the graph never intersects the horizontal asymptote .

Sign Analysis Relative to the Asymptote

  • Test intervals determined by vertical asymptotes at and :

  • For or , (e.g., ).

  • For , (e.g., ).

Graphical Behavior Near Asymptotes

  • Vertical asymptotes at and .

  • Horizontal asymptote at .

  • As approaches the vertical asymptotes from the left or right, tends to or depending on the direction.

General Behavior of Limits at Infinity

Polynomials

  • For a polynomial :

  • and depending on the degree and leading coefficient .

  • If is even and , both limits go to ; if $n$ is odd, the sign depends on the direction and .

Example:

Reciprocal and Rational Functions

  • For :

  • As , ; as ,

  • Thus, is a vertical asymptote, is a horizontal asymptote.

Other Powers:

  • For (where ):

  • (if even; undefined for $n$ even and in case of roots)

Horizontal Asymptotes for Rational Functions

General Rule for Rational Functions

For a rational function , the behavior as depends on the degrees (numerator) and (denominator):

Case

Limit as

$0$

Example 1:

  • Divide numerator and denominator by :

  • as

Example 2:

  • Divide numerator and denominator by :

  • as

Applications of Limits at Infinity

Physics: Gravitational Force

  • The gravitational force between two masses and separated by distance is , where is the gravitational constant.

  • As , :

Exponential Growth and Decay

  • General exponential model: , where is the initial quantity and is the growth () or decay () constant.

  • For decay ():

  • For growth ():

  • In real-world ecological systems, simple exponential models may not be accurate due to limiting factors.

Exponential Functions and Asymptotes

  • For :

  • (horizontal asymptote )

  • For :

Example:

  • For :

  • As , , so

  • As , , so

  • Thus, and are both horizontal asymptotes.

Summary Table: Limits at Infinity for Rational Functions

Form of Rational Function

Limit as

Horizontal Asymptote

Degree numerator < degree denominator

0

Degree numerator = degree denominator

Degree numerator > degree denominator

None

Additional info: In business calculus, understanding limits at infinity is crucial for analyzing long-term trends, such as market saturation, diminishing returns, and the behavior of cost, revenue, or population models as time or input grows large.

Pearson Logo

Study Prep