Suprema and Infima

Does every bounded set of real numbers have a "best possible" bound? This would be one that fits it more snugly than any other. This question sounds almost trivial. But it becomes harder once you try to pin down what "best possible" should mean. You also must ask why such a bound should exist at all. The set of rational numbers less than 2\sqrt{2} is bounded above by 1.51.5, by 1.421.42, by 1.41431.4143. But is there a smallest rational upper bound? There is not. This failure is precisely the crack in the rational numbers that calculus needs sealed. The notions of supremum (least upper bound) and infimum (greatest lower bound) give precise meaning to "the best possible bound." This meaning is order-theoretic. Before we can assert that such bounds exist — that is the job of The Completeness Axiom — we must first nail down exactly what a supremum or infimum is. We must also prove that if one exists, it is unique. That is the entire content of this article. It covers definitions, and the uniqueness theorem. This theorem lets us speak of the supremum of a set, rather than a supremum. This might look like a small bookkeeping exercise. But it is the hinge on which the entire logical structure of real analysis turns. Every foundational theorem of calculus relies on this idea. This includes the Intermediate Value Theorem, the Bolzano–Weierstrass Theorem, and the existence of maxima of continuous functions on closed intervals. Each is proved by constructing a set and taking its supremum or infimum. If suprema were not uniquely determined objects, none of these constructions would even make sense. This article gives the formal definitions of supremum and infimum. It proves the uniqueness theorem rigorously. It builds geometric intuition with figures. It works through two asymmetric numerical examples. It also shows exactly what breaks if uniqueness is not established properly. It sets up the language needed for The Epsilon Characterization of Suprema. That article covers the working tool used in almost every subsequent proof of real analysis.

Key takeaways
  • A supremum of a set SS is a least upper bound of SS: an upper bound no smaller than any other upper bound.
  • An infimum is a greatest lower bound: a lower bound no larger than any other lower bound.
  • Suprema and infima are defined purely in terms of the order relation ≤\le, requiring no arithmetic.
  • Existence is not automatic — it is exactly what The Completeness Axiom will supply for bounded sets of reals.
  • Uniqueness, however, is provable right now from the order axioms alone, with no extra assumptions.
  • Writing "sup⁡S\sup S" or "inf⁡S\inf S" is only meaningful because of the uniqueness theorem proved here.
  • Key idea: among all upper bounds of a set, at most one can be the smallest — and when it exists, we call it the supremum.

Where this lives today

The supremum and infimum are not merely a real-analysis formality; they are the load-bearing beams of huge swaths of mathematics and its applications. In measure theory and probability, the outer measure of a set is defined as an infimum over covering sums, and expectations of unbounded random variables are handled via suprema of truncations. In optimization and operations research, the value of a linear or convex program is frequently defined as an infimum (or supremum) over a feasible region, and questions of whether an optimum is attained (as opposed to merely approached) are exactly questions about whether an infimum equals a minimum. In functional analysis, the operator norm of a bounded linear map is defined as a supremum over the unit ball, and completeness arguments throughout Banach and Hilbert space theory rest on suprema of Cauchy-type quantities. In computer science and algorithm analysis, worst-case and average-case complexity bounds are phrased as suprema/infima over classes of inputs, and semantics of recursive programs in domain theory use least upper bounds of increasing chains (Scott domains). In economics and game theory, the value of a zero-sum game and utility-maximization problems are phrased with suprema and infima over strategy sets, with the minimax theorem itself an equality of an infimum-supremum and supremum-infimum expression. Even in statistics, the supremum norm underlies the Kolmogorov–Smirnov test statistic, defined as the supremum of the absolute difference between empirical and true distribution functions.

Ask the tutor: Why does the set of rationals below 2\sqrt2 fail to have a rational supremum, and how does that failure motivate the real numbers' completeness axiom?

DefinitionSupremum and infimum of a set

Let S⊆RS \subseteq \mathbb{R} be a nonempty set, and recall (from Bounds of a Set) that u∈Ru \in \mathbb{R} is an upper bound of SS if s≤us \le u for every s∈Ss \in S, and ℓ∈R\ell \in \mathbb{R} is a lower bound of SS if ℓ≤s\ell \le s for every s∈Ss \in S. A number α∈R\alpha \in \mathbb{R} is called a supremum (or least upper bound) of SS, written α=sup⁡S\alpha = \sup S, if: 1. (α\alpha is an upper bound.) s≤αs \le \alpha for every s∈Ss \in S; 2. (α\alpha is the least such bound.) for every upper bound uu of SS, α≤u\alpha \le u. A number β∈R\beta \in \mathbb{R} is called an infimum (or greatest lower bound) of SS, written β=inf⁡S\beta = \inf S, if: 1. (β\beta is a lower bound.) β≤s\beta \le s for every s∈Ss \in S; 2. (β\beta is the greatest such bound.) for every lower bound ℓ\ell of SS, ℓ≤β\ell \le \beta. Equivalently, sup⁡S\sup S is the minimum element of the set of upper bounds of SS, and inf⁡S\inf S is the maximum element of the set of lower bounds of SS. Note that condition 2 in each definition is a statement quantified over all upper (respectively lower) bounds — this is what makes α\alpha or β\beta, if it exists, the best possible bound rather than merely a bound.

Intuition

Picture the real line and a bounded set SS sitting on it. The upper bounds of SS form a ray: once some number uu is an upper bound, every larger number is automatically an upper bound too, since it is still ≥\ge every element of SS. So the collection of all upper bounds of SS is itself an interval of the form [α,∞)[\alpha, \infty) if it has a smallest element α\alpha — and that smallest element is exactly sup⁡S\sup S. The supremum is the left endpoint of the "upper bound ray," the exact point where bounding-from-above starts. This picture immediately suggests two things. First, sup⁡S\sup S need not belong to SS itself — it is a property of the boundary between SS and its complement of upper bounds, not necessarily a member of SS. Second, if SS has a maximum element max⁡S\max S, then max⁡S\max S is automatically the supremum, because it is an upper bound (it dominates every element, including itself) and no smaller number can be an upper bound (since max⁡S∈S\max S \in S violates any bound smaller than itself). The supremum generalizes the maximum to sets that may not attain one, such as S={x∈Q:x<2}S = \{x \in \mathbb{Q} : x < \sqrt2\}, which has no largest rational element yet is bounded above.

:::svg[The set of upper bounds of S=(0,3]S=(0,3] is exactly the ray [3,∞)[3,\infty), so sup⁡S=3\sup S = 3] 0 3 5 S = (0, 3] upper bounds [3, ∞) sup S = 3 (attained, since 3 ∈ S)

Figure
The set T={2−1/n:n∈N}T = \{2 - 1/n : n \in \mathbb{N}\} has supremum 2, though 2∉T2 \notin T
0 2 n=1 sup T = 2 ∉ T points 2 − 1/n accumulate at 2 but never reach it
TheoremUniqueness of the supremum and infimum

Let S⊆RS \subseteq \mathbb{R} be nonempty. If α1\alpha_1 and α2\alpha_2 are both suprema of SS, then α1=α2\alpha_1 = \alpha_2. Likewise, if β1\beta_1 and β2\beta_2 are both infima of SS, then β1=β2\beta_1 = \beta_2. Consequently, if a supremum (respectively infimum) of SS exists, it is a well-defined single real number, justifying the notation sup⁡S\sup S (respectively inf⁡S\inf S).

Proof

We prove the statement for the supremum; the infimum case is obtained by an entirely symmetric argument (swapping the roles of ≤\le and ≥\ge), given at the end.

Technique: antisymmetry of ≤\le via a mutual-inequality argument — the standard device for proving uniqueness of an extremal element in an ordered set. Suppose α1\alpha_1 and α2\alpha_2 are both suprema of SS. By the definition, this means each of α1,α2\alpha_1, \alpha_2 satisfies both defining conditions: From α1\alpha_1 being a supremum: (1a) α1\alpha_1 is an upper bound of SS. (1b) α1≤u\alpha_1 \le u for every upper bound uu of SS. From α2\alpha_2 being a supremum: (2a) α2\alpha_2 is an upper bound of SS. (2b) α2≤u\alpha_2 \le u for every upper bound uu of SS.

Step 1: α1≤α2\alpha_1 \le \alpha_2. By (2a), α2\alpha_2 is an upper bound of SS. Apply property (1b) — which says α1\alpha_1 is ≤\le every upper bound of SS — to the specific upper bound u=α2u = \alpha_2. This gives

α1≤α2.\alpha_1 \le \alpha_2.

Step 2: α2≤α1\alpha_2 \le \alpha_1. Symmetrically, by (1a), α1\alpha_1 is an upper bound of SS. Apply property (2b) to the specific upper bound u=α1u = \alpha_1. This gives

α2≤α1.\alpha_2 \le \alpha_1.

Step 3: conclude equality. We have shown α1≤α2\alpha_1 \le \alpha_2 and α2≤α1\alpha_2 \le \alpha_1. The order relation ≤\le on R\mathbb{R} is antisymmetric (an order axiom: for real numbers x,yx,y, if x≤yx \le y and y≤xy \le x then x=yx = y). Applying antisymmetry to x=α1x = \alpha_1, y=α2y = \alpha_2 yields

α1=α2.\alpha_1 = \alpha_2.

This proves that any two suprema of SS coincide, i.e. the supremum, when it exists, is unique.

Infimum case. Suppose β1,β2\beta_1, \beta_2 are both infima of SS. Then: From β1\beta_1: (1a′') β1≤s\beta_1 \le s for all s∈Ss \in S; (1b′') ℓ≤β1\ell \le \beta_1 for every lower bound ℓ\ell of SS. From β2\beta_2: (2a′') β2≤s\beta_2 \le s for all s∈Ss \in S; (2b′') ℓ≤β2\ell \le \beta_2 for every lower bound ℓ\ell of SS. By (2a′'), β2\beta_2 is a lower bound of SS; applying (1b′') with ℓ=β2\ell = \beta_2 gives β2≤β1\beta_2 \le \beta_1. By (1a′'), β1\beta_1 is a lower bound of SS; applying (2b′') with ℓ=β1\ell = \beta_1 gives β1≤β2\beta_1 \le \beta_2. Antisymmetry of ≤\le then gives β1=β2\beta_1 = \beta_2. ■\blacksquare

∎
CorollarySup and inf, when they exist, are the unique extremal elements of the bound sets

Let S≠∅S \ne \varnothing be bounded above and let U(S)U(S) denote the set of all upper bounds of SS. If sup⁡S\sup S exists, then sup⁡S=min⁡U(S)\sup S = \min U(S), and this minimum is unique (as minima of any set are automatically unique by the same antisymmetry argument, since U(S)U(S)'s minimum is itself a supremum-type object relative to the order on U(S)U(S)). The analogous statement holds for inf⁡S\inf S and the set L(S)L(S) of lower bounds, with inf⁡S=max⁡L(S)\inf S = \max L(S).

Proof

By definition, α=sup⁡S\alpha = \sup S is an upper bound of SS that is ≤\le every other upper bound of SS — that is exactly the statement "α∈U(S)\alpha \in U(S) and α≤u\alpha \le u for all u∈U(S)u \in U(S)," which is precisely the defining property of α\alpha being the least element of U(S)U(S). Least elements of any subset of R\mathbb{R} are unique by the identical mutual-inequality-and-antisymmetry argument used in the main theorem above (if m1,m2m_1, m_2 are both least elements of a set AA, then m1≤m2m_1 \le m_2 and m2≤m1m_2 \le m_1 since each is ≤\le every element of AA, including the other). Hence sup⁡S=min⁡U(S)\sup S = \min U(S), uniquely. The infimum case is identical with L(S)L(S) and maxima in place of U(S)U(S) and minima. ■\blacksquare

∎

Worked examples

Example 1 — a set with attained infimum but unattained supremum. Let

S={(−1)n nn+1  :  n∈N}∪{5}.S = \left\{ \frac{(-1)^n \, n}{n+1} \;:\; n \in \mathbb{N} \right\} \cup \{ 5 \}.

List the first several terms of the sequence part: for n=1n=1, −12=−0.5\frac{-1}{2} = -0.5; n=2n=2, 23≈0.667\frac{2}{3} \approx 0.667; n=3n=3, −34=−0.75\frac{-3}{4} = -0.75; n=4n=4, 45=0.8\frac{4}{5} = 0.8; n=5n=5, −56≈−0.833\frac{-5}{6} \approx -0.833; n=6n=6, 67≈0.857\frac{6}{7}\approx 0.857; and in general the even-indexed terms nn+1\frac{n}{n+1} increase toward 11 while odd-indexed terms −nn+1\frac{-n}{n+1} decrease toward −1-1. Together with the isolated point 55, we claim:

sup⁡S=5,inf⁡S=−1.\sup S = 5, \qquad \inf S = -1.

Verifying sup⁡S=5\sup S = 5. We must check both defining properties. Upper bound: every term (−1)nnn+1\frac{(-1)^n n}{n+1} satisfies ∣(−1)nnn+1∣=nn+1<1<5\left|\frac{(-1)^n n}{n+1}\right| = \frac{n}{n+1} < 1 < 5, so every sequence term is <5< 5; and the extra point 55 satisfies 5≤55 \le 5. Hence 55 is an upper bound of SS. Least upper bound: let uu be any upper bound of SS. Since 5∈S5 \in S, the defining property of upper bound forces 5≤u5 \le u. Thus every upper bound of SS is ≥5\ge 5, so 55 is the least one. Both properties hold, so sup⁡S=5\sup S = 5, and note 5∈S5 \in S — the supremum is attained here, coinciding with max⁡S\max S. Verifying inf⁡S=−1\inf S = -1. Lower bound: for every nn, (−1)nnn+1≥−nn+1>−1\frac{(-1)^n n}{n+1} \ge -\frac{n}{n+1} > -1 (since nn+1<1\frac{n}{n+1} < 1 for all finite nn), and 5≥−15 \ge -1. So −1-1 is a lower bound. Greatest lower bound: suppose ℓ\ell is a lower bound of SS with ℓ>−1\ell > -1. Let ε=ℓ−(−1)=ℓ+1>0\varepsilon = \ell - (-1) = \ell+1 >0. Choose an odd nn so large that nn+1>1−ε\frac{n}{n+1} > 1-\varepsilon (possible since nn+1→1\frac{n}{n+1}\to 1; concretely take nn odd with n>1−εεn > \frac{1-\varepsilon}{\varepsilon}, which exists by the Archimedean property). Then the term −nn+1=−nn+1<−(1−ε)=−1+ε=ℓ\frac{-n}{n+1} = -\frac{n}{n+1} < -(1-\varepsilon) = -1+\varepsilon = \ell, contradicting that ℓ\ell is a lower bound. Hence no lower bound exceeds −1-1, so −1-1 is the greatest lower bound: inf⁡S=−1\inf S = -1. Here the infimum is not attained, since no term of SS equals −1-1 exactly — the odd-indexed terms only approach it.

Example 2 — computing sup and inf of a set defined by an inequality. Let

T={x∈R:x2−3x−4<0}.T = \{ x \in \mathbb{R} : x^2 - 3x - 4 < 0 \}.

First solve the inequality algebraically. Factor: x2−3x−4=(x−4)(x+1)x^2 - 3x - 4 = (x-4)(x+1). This product is negative exactly when xx lies strictly between the roots −1-1 and 44 (since the parabola opens upward and is negative between its two real zeros). Hence

T=(−1,4).T = (-1, 4).

We claim sup⁡T=4\sup T = 4 and inf⁡T=−1\inf T = -1, with neither attained. Upper bound check for 44: for all x∈Tx \in T, x<4x < 4 by definition of TT, so in particular x≤4x \le 4; thus 44 is an upper bound. Least upper bound check: suppose u<4u < 4 is also an upper bound. Set ε=4−u2>0\varepsilon = \frac{4-u}{2} > 0 and consider x0=4−ε=4+u2x_0 = 4 - \varepsilon = \frac{4+u}{2}. Since u<4u < 4, we get −1<u<x0<4-1 < u < x_0 < 4 (the middle inequality u<x0u < x_0 holds because x0−u=4−u2>0x_0 - u = \frac{4-u}{2} > 0, and x0<4x_0 < 4 because ε>0\varepsilon > 0; also x0>−1x_0 > -1 since x0>u≥x_0 > u \ge any value would need checking, but more directly x0=4+u2x_0 = \frac{4+u}{2}, and since uu is an upper bound of a nonempty set T∋0T \ni 0, we have u≥0>−1u \ge 0 > -1, hence x0>4−12=1.5>−1x_0 > \frac{4-1}{2}=1.5 > -1). So x0∈Tx_0 \in T, yet x0>ux_0 > u, contradicting that uu is an upper bound of TT. Hence no number less than 44 is an upper bound, so 44 is the least upper bound: sup⁡T=4\sup T = 4. Since 4∉T4 \notin T (as (4−4)(4+1)=0≮0(4-4)(4+1)=0 \not< 0), the supremum is not attained. Lower bound and infimum, symmetric argument: for all x∈Tx \in T, x>−1x > -1, so −1-1 is a lower bound. If ℓ>−1\ell > -1 were also a lower bound, take x1=ℓ+(−1)2=ℓ−12x_1 = \frac{\ell + (-1)}{2} = \frac{\ell - 1}{2}; one checks −1<x1<ℓ-1 < x_1 < \ell and x1<4x_1 < 4 (since ℓ<4\ell < 4 was not even needed — x1<ℓ<4x_1 < \ell < 4 follows once we confirm ℓ<4\ell < 4, which holds because ℓ\ell is a lower bound of the nonempty set T∋0T \ni 0, forcing ℓ≤0<4\ell \le 0 < 4), so x1∈Tx_1 \in T while x1<ℓx_1 < \ell, contradicting that ℓ\ell is a lower bound. Hence inf⁡T=−1\inf T = -1, not attained since −1∉T-1 \notin T. By the uniqueness theorem proved above, these are the supremum and infimum of TT — there is no ambiguity or alternative candidate value, even though we found them by an inequality-chasing argument rather than by inspection.

CounterexampleDropping antisymmetry breaks uniqueness

The uniqueness proof used exactly one structural fact about ≤\le on R\mathbb{R}: antisymmetry — if x≤yx \le y and y≤xy \le x then x=yx = y. To see this hypothesis is not decorative, replace R\mathbb{R} with a preordered set where antisymmetry fails, and watch uniqueness collapse. Let X=R×{0,1}X = \mathbb{R} \times \{0,1\} (pairs (x,i)(x,i) with xx real and i∈{0,1}i \in \{0,1\} a "label"), with the relation

(x,i)⪯(y,j)  ⟺  x≤y,(x,i) \preceq (y,j) \iff x \le y,

comparing only the real coordinates and ignoring the label entirely. This ⪯\preceq is reflexive and transitive (a preorder), but not antisymmetric: (3,0)⪯(3,1)(3,0) \preceq (3,1) and (3,1)⪯(3,0)(3,1) \preceq (3,0) both hold (since 3≤33 \le 3), yet (3,0)≠(3,1)(3,0) \ne (3,1). Now consider S={(x,0):x<3}⊆XS = \{(x,0) : x < 3\} \subseteq X. Define "upper bound" and "least upper bound" for ⪯\preceq exactly as before, with ⪯\preceq replacing ≤\le everywhere in the definition. Both (3,0)(3,0) and (3,1)(3,1) are upper bounds of SS (since x<3⇒x≤3x < 3 \Rightarrow x \le 3 for either label). Check the least-upper-bound property for (3,0)(3,0): is (3,0)⪯u(3,0) \preceq u for every upper bound u=(y,j)u=(y,j) of SS? Any such uu must have y≥3y \ge 3 (else some element of SS with real part between yy and 33 would violate uu being a bound), so 3≤y3 \le y, i.e. (3,0)⪯(y,j)(3,0)\preceq (y,j). So (3,0)(3,0) is a least upper bound. By the identical argument, (3,1)(3,1) is also a least upper bound of SS, since it too satisfies (3,1)⪯u(3,1) \preceq u for every upper bound uu. So SS has two genuinely distinct least upper bounds, (3,0)≠(3,1)(3,0) \ne (3,1). Tracing through the uniqueness proof, Steps 1 and 2 still go through verbatim, producing (3,0)⪯(3,1)(3,0) \preceq (3,1) and (3,1)⪯(3,0)(3,1) \preceq (3,0) — but Step 3 is exactly where antisymmetry was invoked to collapse this mutual relation into an equality, and here that axiom fails, so the argument stalls and the two bounds remain distinct. This shows the antisymmetry of ≤\le on R\mathbb{R} is not a redundant hypothesis smuggled in for convenience; it is the load-bearing axiom that makes "the" supremum a well-defined single number rather than a possibly non-unique class of tied-for-best bounds.

Scope, edge cases & common traps

SituationWhat to watch for
SS has a maximum elementThen sup⁡S=max⁡S∈S\sup S = \max S \in S; sup is attained. Do not assume this is the general case.
SS bounded but with no maximumsup⁡S\sup S may still exist (guaranteed for R\mathbb{R} by completeness) but lies outside SS.
SS unbounded abovesup⁡S\sup S does not exist as a real number; some texts write sup⁡S=+∞\sup S = +\infty as an extended-real convention, but this is not a supremum in the sense defined here.
S=∅S = \varnothingEvery real number is vacuously an upper bound of ∅\varnothing (the condition "s≤us \le u for all s∈∅s \in \varnothing" is vacuously true), so ∅\varnothing has no least upper bound — the empty set is deliberately excluded from this definition.
Confusing "an upper bound" with "the supremum"The supremum is singled out among all upper bounds by the minimality clause; merely exhibiting one upper bound proves nothing about sup⁡S\sup S.

The mathematician behind it

Origins · 1 minKarl Theodor Wilhelm Weierstrass and how this was discovered
KT
Karl Theodor Wilhelm Weierstrass
1815–1897 · Rigorization of analysis in 19th-century Germany

Weierstrass, often called the "father of modern analysis," insisted on replacing intuitive appeals to infinitesimals and geometric motion with precise, static, order-theoretic and epsilon-based definitions. His work, alongside that of Dedekind and Cantor, established the least-upper-bound property as the correct formal substitute for the intuitive idea that the real line has "no gaps." Weierstrass's students and lecture courses (never published by him directly, but transmitted through course notes) spread rigorous epsilon-delta and supremum-based arguments throughout European mathematics.

History
- 1858 — Richard Dedekind, dissatisfied with unrigorous continuity arguments while lecturing on calculus, conceives of Dedekind cuts to construct the real numbers from the rationals.
- 1872 — Dedekind and Cantor independently publish rigorous constructions of the real numbers (cuts, and Cauchy sequences respectively), each engineered specifically to guarantee that bounded sets have suprema.
- 1870s — Weierstrass's Berlin lectures popularize the ε\varepsilon-based treatment of limits and bounds, cementing supremum/infimum language as standard analytic vocabulary.
- 1900s — The least-upper-bound property becomes a standard axiom (or provable consequence of an axiomatic construction) in textbook treatments of R\mathbb{R}, exactly as in modern courses following Rudin.
- Present — Supremum and infimum, and the completeness they presuppose, remain the starting axiom of essentially every real analysis curriculum worldwide.
Is the supremum always an element of the set?

No, and this is one of the most important subtleties in the definition. The supremum is the least element of the set of upper bounds, and there is no requirement that it belong to the original set SS itself. For example, sup⁡(0,1)=1\sup(0,1) = 1, yet 1∉(0,1)1 \notin (0,1). When the supremum does belong to SS, it coincides with max⁡S\max S, and in that special case the two concepts (supremum and maximum) are interchangeable. But in general, "supremum" is the strictly more flexible notion, precisely because it tolerates sets like open intervals or sequences approaching a limit without ever reaching it.

Why do we need a separate uniqueness theorem — isn't it "obvious" that the least upper bound is unique?

It is intuitively plausible, but analysis demands proof, not plausibility, and the proof reveals exactly which axiom of the real numbers is responsible: antisymmetry of ≤\le. Without proving uniqueness, the notation "sup⁡S\sup S" (using the definite article "the") would be logically unjustified — we would only be entitled to talk about "a supremum," and any theorem later invoking "sup⁡S\sup S" as if it names a specific number would be resting on an unproven assumption. The Counterexample in this article shows a genuinely different order-like structure (a preorder) where the "obvious" uniqueness actually fails, confirming the theorem is not vacuous.

Does every bounded set of real numbers actually have a supremum?

That existence question is the content of The Completeness Axiom, not of this article. Here we have only defined what a supremum is and shown that if one exists, it is unique. The existence of suprema for all nonempty sets bounded above is a genuinely separate, deeper fact about R\mathbb{R} — it is false, for instance, for Q\mathbb{Q}, as the set {x∈Q:x2<2}\{x \in \mathbb{Q}: x^2<2\} shows, since no rational number is the least rational upper bound.

How are supremum and infimum related to each other?

They are order-duals: replacing ≤\le by ≥\ge throughout the definition of supremum yields exactly the definition of infimum. Formally, for a set SS, one has the identity inf⁡S=−sup⁡(−S)\inf S = -\sup(-S), where −S={−s:s∈S}-S = \{-s : s\in S\}, whenever either side exists — reflecting on a mirror-imaged copy of the set to convert "greatest lower bound" questions into "least upper bound" questions. This duality is why many analysis textbooks prove theorems only for suprema and leave the infimum case "by symmetry," exactly as done in the uniqueness proof above.

What is the difference between supremum and infimum versus maximum and minimum?

Maximum and minimum require an actual element of the set attaining the extremal value; supremum and infimum only require the bound to exist, whether or not any set element reaches it. Every finite set, and more generally every compact set of reals, has both a maximum and minimum (which then automatically equal the supremum and infimum). But sets like open intervals, or the range of arctan⁡\arctan, have suprema/infima without maxima/minima. In this sense sup/inf are strict generalizations, indispensable once one deals with sets that are merely bounded rather than compact.

Why is uniqueness proved before existence, rather than after?

Logically, uniqueness and existence are independent claims and can be proved in either order, but pedagogically uniqueness comes first because it requires nothing beyond the order axioms of R\mathbb{R} (specifically antisymmetry), while existence requires the full strength of completeness — a genuinely deeper axiom distinguishing R\mathbb{R} from Q\mathbb{Q}. Establishing uniqueness first lets us legitimately use the notation sup⁡S\sup S as soon as completeness supplies existence, without any risk of ambiguity, and it isolates exactly which piece of the structure (order alone, versus order plus completeness) is responsible for each fact.

Can a set have a supremum but no infimum, or vice versa?

Yes — the existence of one places no logical requirement on the other. Consider S=[0,∞)S = [0, \infty): it has inf⁡S=0\inf S = 0 but no supremum, since SS is unbounded above (no real number is an upper bound at all, so the least-upper-bound condition cannot even be tested against a nonempty candidate set of upper bounds). Symmetrically, (−∞,5](-\infty, 5] has sup⁡=5\sup = 5 but no infimum. A set has both a supremum and an infimum exactly when it is nonempty and bounded on both sides, at which point The Completeness Axiom guarantees both exist as real numbers.

Before this

Where this leads