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**2.2 Limits Involving Infinity**

Finite Limits as The symbol for infinity does not represent a real number. We use infinity to describe the behavior of a function when the values in its domain or range outgrow all finite bounds. When we say “the limit of f as x approaches infinity” we mean the limit of f as x moves increasingly far to the right of the number line. When we say “the limit of f as x approaches negative infinity”, we mean the limit of f as x moves increasingly far to the left.

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**Looking at f(x) = 1/x, we observe:**

We can say that the line y = 0 is a horizontal asymptote of the graph of f.

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Horizontal Asymptote

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**Looking for Horizontal Asymptotes**

Use graphs and tables to find and identify all horizontal asymptotes of The horizontal asymptotes are y = 1 and y = -1.

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**Finding a Limit as x Approaches Infinity**

The numerator is decreasing to a very small number. The denominator is increasing to a very large number. This causes the function to approach 0.

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Using Theorem 5 Find

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**Finding Vertical Asymptotes**

Find the vertical asymptotes of f(x) = 1 / x². Describe the behavior to the left and right of each vertical asymptote. The values of the function approach infinity on either side of x = 0. The line x = 0 is the only vertical asymptote.

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**Finding Vertical Asymptotes**

The graph of f(x) = tan x = (sin x) / (cos x) has infinitely many vertical asymptotes, one at each point where the cosine is zero.

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**Modeling Functions for |x| Large**

Let and Show that while f and g are quite different for numerically small values of x, they are virtually identical for |x| large.

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**Finding End Behavior Models**

Find an end behavior model for: a. b.

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**Finding End Behavior Models**

Let f(x) = x + e-x . Show that g(x) = x is a right end behavior model for f while h(x) = e-x is a left end behavior model for f. On the right, On the left,

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Using Substitution Find

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Copyright © Cengage Learning. All rights reserved. 4 Applications of Differentiation.

Copyright © Cengage Learning. All rights reserved. 4 Applications of Differentiation.

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