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The Real Number System | Mathematics

flowchart TD
A[1_The Real Number System] --> B[Key Concepts]
A --> C[Core Principles]
A --> D[Practical Applications]
B --> E[Fundamental definitions]
C --> F[Design patterns]
D --> G[Real-world usage]

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.

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.

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}.

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 SS Then 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.

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 b And m/nQm/n \in \mathbb{Q}. \blacksquare

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 + B So 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) - \varepsilon So 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 S So sus \geq -u for all sSs \in S Meaning u-u is a lower bound for SS. If vv is any lower bound for SS Then v-v is an upper bound For S-S So 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 11 So 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 1-1 And 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

Section titled “1.6 Construction of R\mathbb{R}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

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.

1.8 Intuition: Why Do We Need Completeness?

Section titled “1.8 Intuition: Why Do We Need Completeness?”

The completeness axiom is the single property that separates R\mathbb{R} from Q\mathbb{Q} and makes calculus possible. Without completeness, limits of Cauchy sequences might not exist, the intermediate value theorem fails, and the Bolzano-Weierstrass theorem is false.

A concrete failure in Q\mathbb{Q}. Consider the sequence (xn)(x_n) in Q\mathbb{Q} defined by x1=1x_1 = 1 and xn+1=xn2+1xnx_{n+1} = \frac{x_n}{2} + \frac{1}{x_n}. This is Newton’s method for solving x2=2x^2 = 2. The sequence is Cauchy (the terms get arbitrarily close to each other) and every term is rational. But the limit is 2Q\sqrt{2} \notin \mathbb{Q}. In Q\mathbb{Q}, this Cauchy sequence does not converge. In R\mathbb{R}, completeness guarantees that it does.

Why the other axioms are not enough. The rational numbers Q\mathbb{Q} form an ordered field: they satisfy all the field axioms and the order axioms. But Q\mathbb{Q} has “gaps” --- the irrational numbers are missing. The completeness axiom fills these gaps by requiring that every “gap” (every set bounded above) has a supremum in R\mathbb{R}. This is why R\mathbb{R} is the smallest complete ordered field containing Q\mathbb{Q}.

Connection to physics. Physical measurements are inherently finite, but the mathematical models we use to describe nature (differential equations, probability theory, quantum mechanics) assume the continuum. The completeness of R\mathbb{R} is what makes these models well-defined: it guarantees that the solutions to differential equations exist, that probabilities sum to 1, and that infinite processes (like series and integrals) converge when they “should.”

1.9 Worked Example: Supremum of a Set Defined by a Condition

Section titled “1.9 Worked Example: Supremum of a Set Defined by a Condition”

Problem. Find sup(S)\sup(S) and inf(S)\inf(S) where S={xR:x23x+2<0}S = \{x \in \mathbb{R} : x^2 - 3x + 2 < 0\}.

Solution

Factor: x23x+2=(x1)(x2)x^2 - 3x + 2 = (x - 1)(x - 2). The inequality (x1)(x2)<0(x - 1)(x - 2) < 0 holds when 1<x<21 < x < 2. Therefore S=(1,2)S = (1, 2).

sup(S)=2\sup(S) = 2 (the least upper bound; 2S2 \notin S but every element of SS is less than 2). inf(S)=1\inf(S) = 1 (the greatest lower bound; 1S1 \notin S but every element of SS is greater than 1).

Note that neither the supremum nor the infimum belongs to SS, since SS is an open interval. This illustrates that the completeness axiom guarantees the existence of sup\sup and inf\inf in R\mathbb{R}, but they need not be elements of the set.

Approximation property check: For any ε>0\varepsilon > 0, there exists xSx \in S with 2ε<x22 - \varepsilon < x \leq 2 (take x=2ε/2x = 2 - \varepsilon/2 for small enough ε\varepsilon, as long as x>1x > 1). This confirms that sup(S)=2\sup(S) = 2. \blacksquare

1.9 Intuition: Why Is Completeness the Key Axiom?

Section titled “1.9 Intuition: Why Is Completeness the Key Axiom?”

The real numbers are the unique complete ordered field. The completeness axiom says that every non-empty set bounded above has a least upper bound, which is the property that fills in all the “gaps” in the rationals. The rational numbers have holes: for example, the set of rationals less than 2\sqrt{2} is bounded above but has no supremum in Q\mathbb{Q} because 2\sqrt{2} is irrational. Completeness fills these holes, ensuring that limits of Cauchy sequences always converge.

The practical consequence is that calculus works. Without completeness, sequences that “should” converge might not. The sequence 1,1.4,1.41,1.414,1, 1.4, 1.41, 1.414, \ldots (successive approximations to 2\sqrt{2}) is Cauchy in Q\mathbb{Q} but has no limit there. In R\mathbb{R}, completeness guarantees convergence. The supremum and infimum are the workhorses of analysis: they allow you to define limits, continuity, and integrals without assuming the limit point exists. The supremum is the “best possible upper bound,” which is weaker than requiring a maximum (an element of the set that achieves the bound). This distinction is crucial: sup(0,1)=1\sup(0,1) = 1 but max(0,1)\max(0,1) does not exist.

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;

$\sup(S)$ need not belong to $S$. For example, $\sup\{1/n : n \in \mathbb{N}\} = 1$ which belongs to the set, but $\sup(0, 1) = 1$ which does not belong to $(0, 1)$.
  • Do not confuse supremum with maximum. The maximum of a set must be an element of the set; the supremum need not be. If sup(S)S\sup(S) \in S, then sup(S)=max(S)\sup(S) = \max(S).

  • The completeness axiom is specific to R\mathbb{R}. In Q\mathbb{Q}, the set {xQ:x2<2}\{x \in \mathbb{Q} : x^2 < 2\} is bounded above but has no supremum in Q\mathbb{Q} (since 2Q\sqrt{2} \notin \mathbb{Q}). :::## Cross-References

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  • Confusing supremum with maximum: The maximum must be an element of the set; the supremum need not be. sup(0,1)=1\sup(0,1) = 1 but max(0,1)\max(0,1) does not exist. Always check whether sup(S)S\sup(S) \in S before claiming it is a maximum.
  • Assuming every bounded set has a supremum in Q\mathbb{Q}: The completeness axiom holds only in R\mathbb{R}. In Q\mathbb{Q}, sets like {xQ:x2<2}\{x \in \mathbb{Q} : x^2 < 2\} are bounded above but have no supremum in Q\mathbb{Q} because 2Q\sqrt{2} \notin \mathbb{Q}.
  • Omitting “non-empty” when stating completeness: The completeness axiom requires the set to be non-empty and bounded above. An empty set is bounded above but has no supremum (or, by convention, sup=\sup \varnothing = -\infty, which is not a real number).
  • Treating density and completeness as the same property: The rationals are dense in R\mathbb{R} (between any two reals there is a rational), but they are not complete. Density means no gaps between elements; completeness means no missing limit points.