Properties of Limit at Infinity of Real Function/Sum Rule
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Theorem
Let $a \in \R$.
Let $f, g : \hointr a \infty \to \R$ be real functions such that:
- $\ds \lim_{x \mathop \to \infty} \map f x = L_1$
and:
- $\ds \lim_{x \mathop \to \infty} \map g x = L_2$
where $\ds \lim_{x \mathop \to \infty}$ denotes the limit at $+\infty$.
Then:
- $\ds \lim_{x \mathop \to \infty} \paren {\map f x + \map g x}$ exists
with:
- $\ds \lim_{x \mathop \to \infty} \paren {\map f x + \map g x} = L_1 + L_2$
Proof
Since:
- $\ds \lim_{x \mathop \to \infty} \map f x = L_1$
given $\epsilon > 0$, we can find $M_1 \ge 0$ such that:
- $\ds \size {\map f x - L_1} < \frac \epsilon 2$ for $x \ge M_1$
Since:
- $\ds \lim_{x \mathop \to \infty} \map g x = L_2$
we can find $M_2 \ge 0$ such that:
- $\ds \size {\map f x - L_2} < \frac \epsilon 2$ for $x \ge M_2$.
Let:
- $M = \max \set {M_1, M_2}$
Then, for $x \ge M$, we have:
\(\ds \size {\paren {\map f x + \map g x} - \paren {L_1 + L_2} }\) | \(=\) | \(\ds \size {\paren {\map f x - L_1} + \paren {\map g x - L_2} }\) | ||||||||||||
\(\ds \) | \(\le\) | \(\ds \size {\map f x - L_1} + \size {\map g x - L_2}\) | Triangle Inequality for Real Numbers | |||||||||||
\(\ds \) | \(<\) | \(\ds \frac \epsilon 2 + \frac \epsilon 2\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \epsilon\) |
Since $\epsilon$ was arbitrary, we have:
- $\ds \lim_{x \mathop \to \infty} \paren {\map f x + \map g x} = L_1 + L_2$
$\blacksquare$