Introduction

In this post, I will discuss limits and continuity. There are 3 purposes for writing this post:

  1. To practise my academic writing.
  2. To write for fun.
  3. To expound some points that I was stuck on for a while at first when I was learning as an undergraduate in my first semester. It may help someone, or not, because the main purposes actually are 1&2.

I hope you can enjoy the read.

1 Limits of Sequences

First, I would like to note that all the discussions will be based on ℝ\mathbb{R}, and the discussions will not involve metric spaces. Before we continue, we need to state two axioms.

Axiom 1 (Archimedes’ axiom)
For every a,b>0a, b > 0, there exists N∈ℕN \in \mathbb{N}, such that b<Nab < Na.

Axiom 2 (Cantor’s axiom)
{an}\{a_n\} and {bn}\{b_n\} are two given sequences satisfying an<bn{a_n} < {b_n} for every nn, with associated intervals [an,bn][a_n,b_n] nested and their lengths tending to zero. Then there exists a unique cc such that ⋂n=1∞[an,bn]={c}\bigcap\limits_{n=1}^{\infty} [a_n, b_n]=\{c\}.

These axioms will be used later.

1.1 Definition A sequence {an}\{a_n\} in ℝ\mathbb{R} is said to converge if there is a point α∈ℝ\alpha \in \mathbb{R} with the following property: for every ε>0\varepsilon > 0, there exists N∈ℕN \in \mathbb{N} such that for all n≥Nn \ge N, |an−α|<ε|a_n - \alpha| < \varepsilon. We write an→αa_n \to \alpha as n→∞n \to \infty, or limn→∞an=α \lim\limits_{n \to \infty}a_n = \alpha

We call α\alpha limit value and we say the limit of sequence {an}\{a_n\} is α\alpha or {an}\{a_n\} converges to α\alpha

Remark. If for every M>0M > 0, there exists an N∈ℕN \in \mathbb{N} such that for all n≥N,an≥Mn \ge N, a_n \ge M, then it means that the sequence {an}\{a_n\} does not converge(it diverges). Furthermore, the sequence diverges to positive infinity(for every M<0M < 0, an≤Ma_n \le M, we say the sequence diverges to negative infinity). We write: limn→∞an=+∞an→+∞(n→∞) \lim_{n \to \infty} a_n = +\infty \qquad a_n \rightarrow +\infty \ (n \to \infty)

or

limn→∞an=−∞an→−∞(n→∞) \lim_{n \to \infty} a_n = -\infty \qquad a_n \rightarrow -\infty \ (n \to \infty)

1.2 Theorem If {an}\{a_n\} is convergent, the limit is unique.

Proof. Suppose that there are two different limit values, α\alpha and β\beta. Since α≠β\alpha \neq \beta, we let ε=|α−β|2\varepsilon = \frac{|\alpha - \beta|}{2}. By 1.1 Definition, there exists an N∈ℕN \in \mathbb{N}, such that for all n≥Nn \ge N, |an−α|<ε|a_n - \alpha| < \varepsilon and |an−β|<ε|a_n - \beta| < \varepsilon (taking the larger NN if necessary). Then we have |α−β|=|(an−α)−(an−β)|≤|an−α|+|an−β|<2ε=|α−β||\alpha - \beta| = |(a_n - \alpha) - (a_n - \beta)| \le |a_n - \alpha| + |a_n - \beta| < 2\varepsilon = |\alpha - \beta|. This is a contradiction.

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1.3 Theorem (Squeeze Theorem) Let {an}\{a_n\}, {bn}\{b_n\}, {cn}\{c_n\} be sequences of real numbers. Suppose that {an}\{a_n\} and {bn}\{b_n\} converge to LL, and also suppose that for every nn, we have an<cn<bna_n < c_n < b_n. Then limn→∞cn=L\lim\limits_{n \to \infty} c_n = L.

Proof. Since {an}\{a_n\} and {bn}\{b_n\} converge to LL, it follows that for every given ε>0\varepsilon > 0, there exists an N∈ℕN \in \mathbb{N} such that for all n≥Nn \ge N, |an−L|<ε|a_n - L| < \varepsilon and |bn−L|<ε|b_n - L| < \varepsilon. Moreover, since for every nn, an<cn<bna_n < c_n < b_n, we obtain an−L<cn−L<bn−L⇒−ε<cn−L<ε⇒|cn−L|<εa_n - L < c_n - L < b_n - L \Rightarrow -\varepsilon < c_n - L < \varepsilon \Rightarrow |c_n - L| < \varepsilon. Hence limn→∞cn=L\lim\limits_{n \to \infty} c_n = L.

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1.4 Theorem

  1. limn→∞(an+bn)=α+β\lim\limits_{n \to \infty}(a_n + b_n) = \alpha + \beta
  2. limn→∞(an−bn)=α−β\lim\limits_{n \to \infty}(a_n - b_n) = \alpha - \beta
  3. limn→∞(can)=cα\lim\limits_{n \to \infty}(c a_n) = c \alpha
  4. limn→∞(anbn)=αβ\lim\limits_{n \to \infty}(a_n b_n) = \alpha \beta
  5. limn→∞(anbn)=αβ(limn→∞bn≠0,β≠0)\lim\limits_{n \to \infty}(\frac{a_n}{b_n}) = \frac{\alpha}{\beta} \quad (\lim\limits_{n \to \infty} b_n \neq 0, \beta \neq 0)

Only the first one will be proved; the others can be exercises for practice.

Proof. Let ε>0\varepsilon > 0 be given. Because ana_n and bnb_n are convergent, it follows that for ε′=ε2\varepsilon' = \frac{\varepsilon}{2}, there exists an N1N_1 such that for all n>N1n > N_1, |an−α|<ε′|a_n - \alpha| < \varepsilon'. bnb_n is the same: we know there exists an N2N_2. Let N=max⁡(N1,N2)N= \max(N_1, N_2). It is obvious that for every n>Nn > N, both |an−α|<ε′|a_n - \alpha| < \varepsilon' and |bn−β|<ε′|b_n - \beta| < \varepsilon' are true. Now we estimate: |(an+bn)−(α+β)|=|an−α+bn−β|≤|an−α|+|bn−β|<ε′+ε′=ε2+ε2=ε|(a_n + b_n) - (\alpha + \beta)| = |a_n - \alpha + b_n - \beta| \le |a_n - \alpha| + |b_n - \beta| < \varepsilon' + \varepsilon' = \frac{\varepsilon}{2} + \frac{\varepsilon}{2} = \varepsilon. Hence, by 1.1 Definition, lim⁡n→∞(an+bn)=α+β\lim_{n\to\infty}(a_n+b_n) = \alpha+\beta.

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1.5 Definition Let SS be a subset of ℝ\mathbb{R}. There exists an MM such that for every x∈Sx \in S, x≤Mx \le M. We say the set SS is bounded above (has an upper bound), and MM is an upper bound. Likewise, there exists an LL such that for every x∈Sx \in S, x≥Lx \ge L. We say the set SS is bounded below (has a lower bound), and LL is a lower bound. When a set has both an upper bound and a lower bound, it is bounded.

1.6 Theorem