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The Real Number System

Prerequisites

This chapter assumes the reader is comfortable with:

  • Proof techniques: direct proof, proof by contradiction, mathematical induction.
  • Basic set theory: sets, subsets, unions, intersections, the power set.
  • Functions: domain, range, injectivity, surjectivity, composition.
  • Informal calculus: limits, continuity, differentiation, and integration as studied at A-Level or IB Mathematics.

The axioms stated below are taken as given; the purpose of this chapter is to derive their consequences, not to justify the axioms themselves. Readers without a proof-writing background should consult an introductory discrete mathematics text first.

1.1 Field Axioms

The real numbers R\mathbb{R} form a complete ordered field. The field axioms guarantee closure Under addition, subtraction, multiplication, and division (by non-zero elements), together with the Usual commutative, associative, and distributive laws.

1.2 Order and the Completeness Axiom

The order relation \leq on R\mathbb{R} satisfies:

  1. Reflexivity: aaa \leq a
  2. Antisymmetry: aba \leq b and bab \leq a implies a=ba = b
  3. Transitivity: aba \leq b and bcb \leq c implies aca \leq c
  4. Totality: for all a,ba, bEither aba \leq b or bab \leq a
  5. Compatibility with addition: aba \leq b implies a+cb+ca + c \leq b + c
  6. Compatibility with multiplication: aba \leq b and 0c0 \leq c implies acbcac \leq bc

The completeness axiom (also called the least upper bound property) is what distinguishes R\mathbb{R} from Q\mathbb{Q}:

Axiom (Completeness). Every non-empty subset of R\mathbb{R} that is bounded above has a least Upper bound (supremum) in R\mathbb{R}.

1.3 Supremum and Infimum

Let SRS \subseteq \mathbb{R} be a non-empty set that is bounded above.

Definition. The supremum (or least upper bound) of SSDenoted sup(S)\sup(S)Is the real number uu satisfying:

  1. uu is an upper bound: sus \leq u for all sSs \in S.
  2. uu is the least upper bound: if vv is any upper bound of SSThen uvu \leq v.

Similarly, the infimum (or greatest lower bound), inf(S)\inf(S)Is the greatest number ll such that lsl \leq s for all sSs \in S.

Proposition 1.1. sup(S)\sup(S) exists if and only if SS is non-empty and bounded above.

Proposition 1.2 (Approximation Property). If u=sup(S)u = \sup(S)Then for every ε>0\varepsilon > 0There Exists sSs \in S such that uε<suu - \varepsilon \lt s \leq u.

Proof. If no such ss existed, then uεu - \varepsilon would be an upper bound of SS strictly less Than uuContradicting the definition of sup(S)\sup(S). \blacksquare

Example. Let S={xR:x2<2}S = \{x \in \mathbb{R} : x^2 \lt 2\}. Then sup(S)=2\sup(S) = \sqrt{2}. Note that 2Q\sqrt{2} \notin \mathbb{Q}, so Q\mathbb{Q} does not satisfy the completeness axiom.

1.4 Archimedean Property

Theorem 1.1 (Archimedean Property). For every xRx \in \mathbb{R}There exists nNn \in \mathbb{N} Such that n>xn \gt x.

Proof. Suppose, for contradiction, that N\mathbb{N} is bounded above. By the completeness axiom, s=sup(N)s = \sup(\mathbb{N}) exists in R\mathbb{R}. Then s1s - 1 is not an upper bound for N\mathbb{N} So there exists nNn \in \mathbb{N} with n>s1n \gt s - 1I.e., n+1>sn + 1 \gt s. But n+1Nn + 1 \in \mathbb{N} Contradicting that ss is an upper bound. \blacksquare

Corollary 1.2. For every ε>0\varepsilon > 0There exists nNn \in \mathbb{N} such that 1/n<ε1/n \lt \varepsilon.

Proof. By the Archimedean property, choose nNn \in \mathbb{N} with n>1/εn \gt 1/\varepsilon. Then 1/n<ε1/n \lt \varepsilon. \blacksquare

Corollary 1.3 (Density of Q\mathbb{Q}). Between any two distinct real numbers a<ba \lt bThere Exists a rational number qQq \in \mathbb{Q} with a<q<ba \lt q \lt b.

Proof. Since ba>0b - a > 0By Corollary 1.2 there exists nNn \in \mathbb{N} with 1/n<ba1/n \lt b - a So 1<n(ba)=nbna1 \lt n(b - a) = nb - na. Let m=na+1Zm = \lfloor na \rfloor + 1 \in \mathbb{Z}. Then m1na<mm - 1 \leq na \lt m Giving mna+1<na+n(ba)=nbm \leq na + 1 \lt na + n(b - a) = nb. Hence a<m/n<ba \lt m/n \lt bAnd m/nQm/n \in \mathbb{Q}. \blacksquare

1.5 Properties of Supremum and Infimum

Proposition 1.4. If AA and BB are non-empty bounded subsets of R\mathbb{R}Then sup(A+B)=sup(A)+sup(B)\sup(A + B) = \sup(A) + \sup(B)Where A+B={a+b:aA,bB}A + B = \{a + b : a \in A, b \in B\}.

Proof. For all aAa \in A and bBb \in B: asup(A)a \leq \sup(A) and bsup(B)b \leq \sup(B)So a+bsup(A)+sup(B)a + b \leq \sup(A) + \sup(B). Thus sup(A)+sup(B)\sup(A) + \sup(B) is an upper bound for A+BA + BSo sup(A+B)sup(A)+sup(B)\sup(A + B) \leq \sup(A) + \sup(B).

For the reverse inequality, let ε>0\varepsilon > 0. By the approximation property, there exist aAa \in A And bBb \in B with a>sup(A)ε/2a > \sup(A) - \varepsilon/2 and b>sup(B)ε/2b > \sup(B) - \varepsilon/2. Then a+b>sup(A)+sup(B)εa + b > \sup(A) + \sup(B) - \varepsilonSo sup(A+B)sup(A)+sup(B)ε\sup(A + B) \geq \sup(A) + \sup(B) - \varepsilon. Since ε>0\varepsilon > 0 is arbitrary, sup(A+B)sup(A)+sup(B)\sup(A + B) \geq \sup(A) + \sup(B). \blacksquare

Proposition 1.5. For any non-empty bounded set SRS \subseteq \mathbb{R}, inf(S)=sup(S)\inf(S) = -\sup(-S) Where S={s:sS}-S = \{-s : s \in S\}.

Proof. Let u=sup(S)u = \sup(-S). Then su-s \leq u for all sSs \in SSo sus \geq -u for all sSs \in S Meaning u-u is a lower bound for SS. If vv is any lower bound for SSThen v-v is an upper bound For S-SSo uvu \leq -vI.e., uv-u \geq v. Hence u=inf(S)-u = \inf(S). \blacksquare

Worked Example: Find $\sup$ and $\inf$ of $S = \{(-1)^n + 1/n : n \in \mathbb{N}\}$

Solution. The first few terms are 0,3/2,2/3,5/4,4/5,7/6,0, 3/2, -2/3, 5/4, -4/5, 7/6, \ldots.

For even n=2kn = 2k: (1)2k+1/(2k)=1+1/(2k)(-1)^{2k} + 1/(2k) = 1 + 1/(2k)Which decreases toward 11 from above. For odd n=2k1n = 2k-1: (1)2k1+1/(2k1)=1+1/(2k1)(-1)^{2k-1} + 1/(2k-1) = -1 + 1/(2k-1)Which increases toward 1-1 from below.

The even terms form the sequence 3/2,5/4,7/6,3/2, 5/4, 7/6, \ldots with limit 11So sup(S)=3/2\sup(S) = 3/2 (the first even term). The odd terms form 0,2/3,4/5,0, -2/3, -4/5, \ldots with limit 1-1And since 00 Is an odd-indexed term, inf(S)=1\inf(S) = -1 (approached but not attained). \blacksquare

1.6 Construction of R\mathbb{R} via Dedekind Cuts

Remark. The following outline shows how R\mathbb{R} can be constructed from Q\mathbb{Q}Making The completeness axiom a theorem rather than an axiom.

Definition (Dedekind Cut). A Dedekind cut is a subset αQ\alpha \subseteq \mathbb{Q} satisfying:

  1. α\alpha \neq \emptyset and αQ\alpha \neq \mathbb{Q}
  2. If pαp \in \alpha and q<pq \lt p (with qQq \in \mathbb{Q}), then qαq \in \alpha (downward closure)
  3. α\alpha has no greatest element: for every pαp \in \alphaThere exists qαq \in \alpha with p<qp \lt q

Definition. The set of real numbers R\mathbb{R} is defined as the set of all Dedekind cuts.

The order, addition, and multiplication are defined as follows:

  • Order: α<β\alpha \lt \beta if and only if αβ\alpha \subsetneq \beta
  • Addition: α+β={p+q:pα,qβ}\alpha + \beta = \{p + q : p \in \alpha, q \in \beta\}
  • Multiplication: For α,β0\alpha, \beta \geq 0^*: αβ={pq:pα,qβ,p0,q0}{rQ:r<0}\alpha \cdot \beta = \{p \cdot q : p \in \alpha, q \in \beta, p \geq 0, q \geq 0\} \cup \{r \in \mathbb{Q} : r \lt 0\}

Here 0={qQ:q<0}0^* = \{q \in \mathbb{Q} : q \lt 0\} represents the real number 00.

Theorem. With these definitions, R\mathbb{R} is a complete ordered field, and Q\mathbb{Q} embeds Into R\mathbb{R} via q{rQ:r<q}q \mapsto \{r \in \mathbb{Q} : r \lt q\}.

Proof (sketch). Verifying the field axioms and order axioms is lengthy but straightforward. The key Step is the completeness axiom: if A\mathcal{A} is a non-empty set of Dedekind cuts bounded above, Then α=βAβ\alpha = \bigcup_{\beta \in \mathcal{A}} \beta is itself a Dedekind cut and α=sup(A)\alpha = \sup(\mathcal{A}). \blacksquare

1.7 Equivalences of Completeness

The completeness axiom can be formulated in several equivalent ways. Each implies the others:

  1. Least Upper Bound Property: Every non-empty set bounded above has a supremum.
  2. Monotone Convergence Theorem: Every bounded monotone sequence converges.
  3. Nested Interval Property: Every nested sequence of closed intervals I1I2I_1 \supseteq I_2 \supseteq \cdots with length(In)0\mathrm{length}(I_n) \to 0 has exactly one point in In\bigcap I_n.
  4. Bolzano-Weierstrass Property: Every bounded sequence has a convergent subsequence.
  5. Cauchy Completeness: Every Cauchy sequence converges.

Proposition 1.6. In any ordered field, (1)     \iff (2)     \iff (3)     \iff (4)     \iff (5).

Proof (outline). We have shown (1)(2)(1) \Rightarrow (2) (MCT in Section 2.2), (2)(4)(2) \Rightarrow (4) (via the bisection argument in Bolzano-Weierstrass), (4)(5)(4) \Rightarrow (5) (Cauchy completeness …/1-number-and-algebra/3_proof-and-logic In Section 2.3), and (5)(1)(5) \Rightarrow (1) can be shown by constructing a Cauchy sequence converging To supS\sup S from the approximation property. The equivalence (1)(3)(1) \Rightarrow (3) follows from the Nested interval argument, and (3)(1)(3) \Rightarrow (1) follows by constructing nested intervals that Shrink to supS\sup S. \blacksquare

Remark. The field Q\mathbb{Q} satisfies none of these properties, which is why it must be Extended to R\mathbb{R} for analysis.

:::caution Common Pitfall The completeness axiom is often misstated as “every bounded set has a supremum.” The set must be Non-empty. Also, completeness does not say every set has a maximum; sup(S)\sup(S) need not belong to SS. For example, sup{1/n:nN}=1\sup\{1/n : n \in \mathbb{N}\} = 1Which belongs to the set, but sup(0,1)=1\sup(0, 1) = 1Which does not belong to (0,1)(0, 1).

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