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Computing limits of functions

Part 3 · Limits of functions and continuity · Chapter 2 · lecture notes by Fabio Furini · Chapter PDF

1. Computing limits of functions

  • We state the theorems on limits of functions that follow immediately from the corresponding theorems on limits of sequences and from the sequential definition of limit

1.1 Algebra of limits theorem

Theorem 1: Algebra of limits, case of finite limits

Hypotheses as \(x \rr c\):

\[ \textbf{1.} ~~ f(x) \rr \ell_1 \in \R, \qquad \textbf{2.} ~~ g(x) \rr \ell_2 \in \R. \]

Thesis as \(x \rr c\):

\[ \textbf{1.} ~~ f(x)\pm g(x) \rr \ell_1 \pm \ell_2, \qquad \textbf{2.} ~~ f(x) \: g(x) \rr \ell_1 \: \ell_2, \]
\[ \textbf{3.} ~~ \frac{f(x)}{g(x)} \rr \frac{\ell_1}{\ell_2} ~~~~~~( \ell_2 \neq 0, g(x) \neq 0, {\rm ~~eventually~as~~} x \rr c). \]
Proof

Let \(\{x_n\}\) be any sequence such that

\[ x_n \neq c, \forall n, {\rm ~~and~~} x_n \rr c {\rm ~~as~~} n \rr +\infty. \]

By hypothesis we have

\[ f(x_n) \rr \ell_1 {\rm ~~and~~} g(x_n) \rr \ell_2 ~~~ (\ell_1,\ell_2 \in \R). \]

From the theorem on the algebra of limits for sequences we therefore conclude that

\[ f(x_n) \pm g(x_n) \rr \ell_1 \pm \ell_2, \]

and hence

\[ f(x) \pm g(x) \rr \ell_1 \pm \ell_2. \]

Claims 2 and 3 of the theorem are proved in a perfectly analogous way. □

1.2 Sign-preservation theorems

In the following statements \(\ell\) and \(c\) will be points of \(\R^*\) unless otherwise stated.

Theorem 2: Sign preservation, \(1^{st}\) form

Hypotheses:

\[ \textbf{1.} ~~f(x) \rr \ell {\rm ~~as~~} x \rr c, \qquad \textbf{2.} ~~ \ell \lessgtr 0. \]

Thesis:

\[ f(x) \lessgtr 0 {\rm ~~eventually~as~} x \rr c. \]
Proof

Let \(\{x_n\}\) be any sequence such that

\[ x_n \neq c, \forall n, {\rm ~~and~~} x_n \rr c {\rm ~~as~~} n \rr +\infty \]

By the hypothesis we have

\[ f(x_n) \rr \ell > 0 \]

hence, by the sign-preservation theorem for sequences, applied to the sequence \(\big\{f(x_n)\big\}\), we conclude that

\[ f(x_n) > 0, ~~~~{\rm eventually}. \]

Since this holds for every sequence such that \(x_n \rr c\), we conclude that

\[ f(x) > 0, {\rm ~~eventually,~as~~} x \rr c \]

□

Theorem 3: Sign preservation for functions, \(2^{nd}\) form

Hypotheses:

\[ \textbf{1.} ~~ f(x) \rr \ell \in \R {\rm ~~as~~} x \rr c, \]
\[ \textbf{2.} ~~ f(x)\ge 0 {\rm ~~eventually~as~~} x \rr c. \]

Thesis:

\[ \ell \ge 0. \]
Proof

It follows from the corresponding theorem for sequences. □

  • For functions we also have the following sign-preservation theorem.

Theorem 4: Sign preservation for continuous functions

Hypotheses:

\[ \textbf{1.} ~~ f {\rm ~~is~continuous~at~~} c \in \R, \qquad \textbf{2.} ~~ f(c)>0. \]

Thesis:

\[ f(x)>0 {\rm ~~eventually~as~~} x \rr c. \]
Proof

If \(f\) is continuous at \(c\), then

\[ f(c) = \lim_{x \rr c} f(x) \]

hence the hypothesis \(f(c)>0\) means that

\[ f(c) = \lim_{x \rr c} f(x) > 0 \]

and this, by the sign-preservation theorem (\(1^{st}\) form), implies that

\[ f(x) > 0 {\rm ~~eventually~as~~} x \rr c. \]

□

1.3 Comparison theorem

Theorem 5: Comparison theorem

Hypotheses:

\[ \textbf{1.} ~~ f(x) \rr \ell {\rm ~~and~~} g(x) \rr \ell {\rm ~~as~~} x \rr c, \]
\[ \textbf{2.} ~~ f(x) \le h(x) \le g(x) {\rm ~~eventually~as~~} x \rr c. \]

Thesis:

\[ h(x) \rr \ell {\rm ~~as~~} x \rr c. \]
Proof

Let \(\{x_n\}\) be any sequence such that

\[ x_n \neq c, \forall n, {\rm ~~and~~} x_n \rr c {\rm ~~as~~} n \rr +\infty \]

We want to prove that

\[ h(x_n) \rr \ell {\rm ~~as~~} n \rr +\infty \]

By hypothesis we know that:

\[ f(x_n) \le h(x_n) \le g(x_n), {\rm ~~eventually,} \]
\[ f(x_n) \rr \ell {\rm~~and~~} g(x_n) \rr \ell, {\rm ~~as~~} x_n \rr c \]

Hence, by the comparison theorem for sequences applied to:

\[ \big\{f(x_n)\big\},~~ \big\{h(x_n)\big\}~~ {\rm and~~} \big\{g(x_n)\big\} \]

we conclude that

\[ h(x_n) \rr \ell {\rm ~~as~~} n \rr +\infty \]

□

Corollary 1: Of the comparison theorem (part I)

Hypotheses:

\[ \textbf{1.} ~~ g(x) \rr 0 {\rm ~~as~~} x \rr c, \]
\[ \textbf{2.} ~~ |h(x)| \le g(x) {\rm ~~eventually~as~~} x \rr c. \]

Thesis:

\[ h(x) \rr 0 {\rm ~~as~~} x \rr c. \]
Proof

It follows from the corresponding corollary for sequences. □

Example 1: Corollary of the comparison theorem

Let us prove that:

\[ \lim_{x \rr 0} x \: \sin \frac{1}{x} = 0 \]

We have

\[ x \rr 0 {\rm ~~as~~} x \rr 0 {\rm ~~and~~} \lim_{x \rr 0} \sin \frac{1}{x} {\rm ~~does~not~exist~} \]

hence we cannot apply Theorem Theorem 1 on the algebra of limits for functions.

We have

\[ \left|\sin \frac{1}{x}\right| \le 1 {\rm~~hence~~} \left|x \: \sin \frac{1}{x}\right| \le |x| {\rm ~~and~~} |x| \rr 0 {\rm ~~as~~} x \rr 0. \]

Hence, by Corollary Corollary 1 of the comparison theorem for functions, we have:

\[ x \: \sin \frac{1}{x} \rr 0 {\rm ~~as~~} x \rr 0. \]

Figure 1

Corollary 2: Of the comparison theorem (part II)

Hypotheses:

\[ \textbf{1.} ~~ f(x) \rr 0 {\rm ~~as~~} x \rr c, \]
\[ \textbf{2.} ~~ g(x) {\rm ~~is~bounded,~eventually,~as~~} x \rr c. \]

Thesis:

\[ f(x) \: g(x) \rr 0 {\rm ~~as~~} x \rr c. \]
Proof

It follows from the corresponding corollary for sequences. □

Example 2: Corollary of the comparison theorem

Let us prove that:

\[ \lim_{x \rr \ip} \frac{x + \sin x}{2\: x + \cos x}= \frac{1}{2} \]

Factoring, we obtain

\[ \frac{x + \sin x}{2\: x + \cos x} = \frac{x \left( 1+ \frac{\sin x}{x} \right)}{2\:x \left( 1+ \frac{\cos x}{2\:x} \right)} = \frac{1}{2} \left(\frac{ 1+ \frac{\sin x}{x} }{ 1+ \frac{\cos x}{2\:x} } \right) \]

By Corollary Corollary 2 of the comparison theorem for functions, we have:

\[ \frac{\sin x}{x} \rr 0 {\rm ~~and~~} \frac{\cos x}{2\: x} \rr 0 {\rm ~~as~~} x \rr \ip. \]

Figure 2

Then, by Theorem Theorem 1 on the algebra of limits, we therefore have:

\[ \frac{x + \sin x}{2\: x + \cos x} \rr \frac{1}{2} {\rm ~~as~~} x \rr \ip. \]

1.4 Theorems of partial arithmetization of the infinity symbol

Theorem 6: Partial arithmetization of the infinity symbol (addition)

Hypotheses as \(x \rr c\):

\[ \textbf{1.} ~~ f(x) \rr \ell \in \R, \qquad \textbf{2.} ~~ g(x) \rr \ip, \qquad \textbf{3.} ~~ h(x) \rr \ip. \]

Thesis as \(x \rr c\):

\[ \textbf{1.} ~~ f(x) + g(x) \rr \ell \ip = \ip, \qquad \textbf{2.} ~~ f(x) - g(x) \rr \ell \im = \im, \]
\[ \textbf{3.} ~~ g(x) + h(x) \rr \ip \ip = \ip, \qquad \textbf{4.} ~~ -g(x) - h(x) \rr \im \im = \im. \]
Proof

It follows from the corresponding theorem for sequences. □

Theorem 7: Partial arithmetization of the infinity symbol (product)

Hypotheses as \(x \rr c\):

\[ \textbf{1.} ~~ f(x) \rr \ell \in \R, \qquad \textbf{2.} ~~ g(x) \rr 0, \qquad \textbf{3.} ~~ h(x) \rr \infty. \]

Thesis as \(x \rr c\):

\[ \textbf{1.} ~~ f(x) \:\: h(x) \rr \ell \cdot \infty = \infty \quad (\ell \neq 0), \qquad \textbf{2.} ~~ \frac{f(x)}{g(x)} \rr \frac{\ell}{0} = \infty \quad (\ell \neq 0), \]
\[ \textbf{3.} ~~ \frac{f(x)}{h(x)} \rr \frac{\ell}{\infty} = 0. \]
Proof

It follows from the corresponding theorem for sequences. □

  • As for sequences, the sign of \(\infty\) must be determined with the rule of signs.

Example 3: Partial arithmetization of the infinity symbol

\[ \lim_{x \rr \im} \left(\frac{1}{x} - 2\right) \: x^3 = \ip \]

Since \(\left(\frac{1}{x} - 2\right) \rr -2 {\rm ~~and~~} x^3 \rr \im \quad {\rm as~~} x \rr \im\).

2. Change of variable theorem for limits

Theorem 8: Change of variable in the limit

Let \(f\) and \(g\) be two functions for which the composition \(f \circ g\) is defined, at least eventually as \(x \rr x_0 \in \R^*.\) If:

\[ 1.~~~ \lim_{x \rr x_0} g(x) = t_0 \in \R^*,~~~2.~~~ \lim_{t \rr t_0} f(t) = \ell \in \R^* \]
\[ 3.~~~ g(x) \neq t_0, {\rm ~~~eventually,~as~~~} x \rr x_0 \]

Then:

\[ \lim_{x \rr x_0} f\big(g(x)\big) = \lim_{t \rr t_0} f(t). \]

Hypothesis \(3.\) is not necessary when \(f\) is continuous at \(t_0\), or when \(t_0= \pm \infty\).

Proof

Let \(\{x_n\}\) be any sequence such that

\[ x_n \neq x_0, \forall n, {\rm ~~and~~} x_n \rr x_0 {\rm ~~as~~} n \rr +\infty. \]

We have

\[ g(x_n) \rr t_0 {\rm ~~as~~} n \rr +\infty ~~({\rm by~hypothesis}~1) \]

and

\[ g(x_n) \neq t_0, {\rm ~~eventually~~} ~({\rm by~hypothesis}~3). \]

Therefore

\[ f\big(g(x_n)\big) \rr \ell ~~({\rm by~hypothesis}~2). \]

If \(t_0= \pm \infty\) the condition \(g(x) \neq \pm \infty\) is obviously satisfied, while if \(f\) is continuous at \(t_0\), \(\ell = f(t_0)\), so if \(g(x_n)= t_0\) for some \(n\) we would have

\[ f\big(g(x_n)\big)= f(t_0)= \ell \]

and hence the convergence

\[ f\big(g(x_n)\big) \rr \ell {\rm ~~as~~} n \rr +\infty \]

would be guaranteed anyway. □

Example 4: Computing a limit with the change of variable theorem

Let us compute the limit

\[ \lim_{x \rr \ip} \log \left ( \frac{2\:x^3+4\:x+1}{5\:(x+1)^3} \right) \]

The functions \(f\) and \(g\) are:

\[ g(x) = \left ( \frac{2\:x^3+4\:x+1}{5\:(x+1)^3} \right) {\rm ~~~~and~~~~} f(t) = \log t. \]

We have \(t=g(x)\) and

\[ (f \circ g)(x) = f\big(g(x)\big) = \log \left ( \frac{2\:x^3+4\:x+1}{5\:(x+1)^3} \right) ~~~~{\rm and ~~~~} x_0 = \ip. \]

We compute

\[ \lim_{x \rr \ip} g(x) = \frac{2}{5} ~~~~{\rm and ~consequently~~~} t_0 = \frac{2}{5}. \]

Now we compute

\[ \lim_{t \rr 2/5} \log t = \log{\frac{2}{5}} \quad({\rm as~we~will~see,~the~logarithm~is ~continuous~in~} \R_+) \]

Hence

\[ \lim_{x \rr \ip} f\big(g(x)\big) = \log{\frac{2}{5}} \]

Figure 3

Moreover:

\[ \lim_{x \rr 0} f\big(g(x)\big)=\log{\frac{1}{5}} \]

using the theorem we have:

\[ \lim_{x \rr 0} g(x) = \frac{1}{5} {\rm ~~~and~~~} \lim_{t \rr 1/5} \log t = \log{\frac{1}{5}} \]

since

\[ \lim_{x \rr 0} 2\:x^3+4\:x+1 = 1 {\rm ~~~and~~~} \lim_{x \rr 0} 5\:(x+1)^3= 5 \]

Example 5: Computing a limit with the change of variable theorem

Let us compute the limits

\[ \lim_{x \rr 0^+} e^{\frac{1}{x}} {\rm ~~~~and~~~~} \lim_{x \rr 0^-} e^{\frac{1}{x}}. \]

The functions \(f\) and \(g\) are:

\[ g(x) = \frac{1}{x} {\rm ~~~~and~~~~} f(t) = e^t. \]

We have \(t=g(x)\) and

\[ (f \circ g) (x) = f\big(g(x)\big) = e^{\frac{1}{x}}~~~~{\rm moreover ~~~~} x_0 = 0^+ {\rm ~~~~and~~~~} x_0 = 0^-. \]
  1. \(\frac{1}{x} \rr \ip\) as \(x \rr 0^+\) and hence \(t_0=\ip\). Now we compute:

    \[ \lim_{t \rr \ip} e^t = \ip {\rm ~~~~hence~~~~} \lim_{x \rr 0^+} e^{\frac{1}{x}} = \ip. \]
  2. \(\frac{1}{x} \rr \im\) as \(x \rr 0^-\) and hence \(t_0=\im\). Now we compute:

    \[ \lim_{t \rr \im} e^t = 0 {\rm ~~~~hence~~~~} \lim_{x \rr 0^-} e^{\frac{1}{x}} = 0. \]

Figure 4