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13 results · all verified · 12 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full by a delegated reviewing agent on the owner's instruction; the judge is an additional, independent cross-model AI review of the proofs. The 1 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Suprema and Infima

1 · Prerequisites

2 · Summary

Completeness of R\mathbb{R} supplies a least upper bound for every nonempty set bounded above. Lower bounds, infima, maxima and minima provide the dual notions and distinguish a best bound from an attained element. Reflection through zero converts upper-bound questions into lower-bound questions and derives the greatest-lower-bound property from least-upper-bound completeness.

The development proves uniqueness and epsilon characterizations of suprema and infima, then establishes their behavior under inclusion, translation, nonzero scaling, and sumsets. Finite nonempty subsets attain maxima and minima, whereas open intervals show that a supremum need not be attained. The empty set and the canonical naturals show independently why nonemptiness and boundedness above are required for a real supremum.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Lower bound, bounded below, bounded set

Definition

Throughout, R\mathbb{R} denotes the complete ordered field (Complete ordered field (least-upper-bound property)) and SRS \subseteq \mathbb{R} is a subset of it.

The notions upper bound and bounded above are already fixed by Complete ordered field (least-upper-bound property) and are only recalled here, never redefined: uRu \in \mathbb{R} is an upper bound of SS if sus \le u for all sSs \in S, and SS is bounded above if it has at least one upper bound. The dual notions are:

  • R\ell \in \mathbb{R} is a lower bound of SS if s\ell \le s for all sSs \in S.
  • SS is bounded below if it has at least one lower bound.
  • SS is bounded if it is both bounded above and bounded below, that is, if there are ,uR\ell, u \in \mathbb{R} with su\ell \le s \le u for every sSs \in S.

Remarks

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Greatest lower bound (infimum)

Definition

Let SRS \subseteq \mathbb{R} and R\ell \in \mathbb{R}. Then \ell is a greatest lower bound, or infimum, of SS if both of the following hold:

  • \ell is a lower bound of SS (Lower bound, bounded below, bounded set), that is, s\ell \le s for every sSs \in S;
  • \ell' \le \ell for every lower bound \ell' of SS.

Written out in one line:

 is an infimum of S    [(sS)s] and [(R)((sS)s)].\ell \text{ is an infimum of } S \iff \big[(\forall s \in S)\, \ell \le s\big] \text{ and } \big[(\forall \ell' \in \mathbb{R})\, \big((\forall s \in S)\, \ell' \le s\big) \Rightarrow \ell' \le \ell\big].

An infimum, when it exists, is unique (Suprema and infima are unique ), so we may write infS\inf S for it.

Remarks

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Maximum and minimum of a set

Definition

Let SRS \subseteq \mathbb{R} and mRm \in \mathbb{R}.

  • mm is a maximum (or greatest element) of SS if mSm \in S and sms \le m for every sSs \in S.
  • mm is a minimum (or least element) of SS if mSm \in S and msm \le s for every sSs \in S.

A set has at most one maximum: if m1m_1 and m2m_2 are both maxima then m1Sm_1 \in S gives m1m2m_1 \le m_2 and m2Sm_2 \in S gives m2m1m_2 \le m_1, so m1=m2m_1 = m_2 by antisymmetry of the order, which is immediate from the trichotomy axiom of an ordered field (Ordered field, Complete ordered field (least-upper-bound property)). The same argument applies to minima, so we may write maxS\max S and minS\min S.

Remarks

LemmaStatement: Literature-sourcedProof: Literature-sourcedprecheck passjudge pass (openai/gpt-5.4)verified 2026-07-26 (claude-opus-5)Open item page →

Suprema and infima are unique

Statement

Let SRS \subseteq \mathbb{R}. If u1u_1 and u2u_2 are both least upper bounds of SS (Complete ordered field (least-upper-bound property)), then u1=u2u_1 = u_2. If 1\ell_1 and 2\ell_2 are both greatest lower bounds of SS (Greatest lower bound (infimum)), then 1=2\ell_1 = \ell_2.

Consequently a set has at most one supremum and at most one infimum, and the notations supS\sup S and infS\inf S denote single, well-determined real numbers whenever they exist.

Facts & Assumptions

Given: A subset SRS \subseteq \mathbb{R} of the complete ordered field R\mathbb{R}, together with elements u1,u2,1,2Ru_1, u_2, \ell_1, \ell_2 \in \mathbb{R}.

[L1]

uu is a least upper bound of SS exactly when uu is an upper bound of SS and uuu \le u' for every upper bound uu' of SS (Complete ordered field (least-upper-bound property)).

[L2]

\ell is a greatest lower bound of SS exactly when \ell is a lower bound of SS and \ell' \le \ell for every lower bound \ell' of SS (Greatest lower bound (infimum)).

[L3]

Antisymmetry of the order: for a,bRa, b \in \mathbb{R}, if aba \le b and bab \le a then a=ba = b. This is trichotomy in the underlying ordered field, which says that exactly one of a<ba < b, a=ba = b, b<ab < a holds, so, reasoning by contradiction, aba \ne b would put both a<ba < b and b<ab < a in force, which trichotomy forbids (Complete ordered field (least-upper-bound property), Ordered field).

Proof

technique · direct
1.1

Assume u1u_1 and u2u_2 are both least upper bounds of SS; in particular each of them is an upper bound of SS and each is \le every upper bound of SS.

assume-hypL1
1.2

Assume 1\ell_1 and 2\ell_2 are both greatest lower bounds of SS; in particular each of them is a lower bound of SS and each is \ge every lower bound of SS.

assume-hypL2
2.1

Applying the leastness of u1u_1 to the upper bound u2u_2 gives u1u2u_1 \le u_2, and applying the leastness of u2u_2 to the upper bound u1u_1 gives u2u1u_2 \le u_1.

step 1.1L1
2.2

Applying the greatestness of 1\ell_1 to the lower bound 2\ell_2 gives 21\ell_2 \le \ell_1, and applying the greatestness of 2\ell_2 to the lower bound 1\ell_1 gives 12\ell_1 \le \ell_2.

step 1.2L2
3.1

By antisymmetry u1=u2u_1 = u_2 and 1=2\ell_1 = \ell_2, so a least upper bound and a greatest lower bound of SS are each unique when they exist, which is what licenses writing supS\sup S and infS\inf S.

step 2.1step 2.2L3
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Reflection through zero exchanges upper and lower bounds

Statement

For SRS \subseteq \mathbb{R} write S:={s:sS}-S := \{-s : s \in S\}. Then (S)=S-(-S) = S, and SS is nonempty if and only if S-S is nonempty. Moreover, for all u,Ru, \ell \in \mathbb{R}:

  1. uu is an upper bound of SS if and only if u-u is a lower bound of S-S;
  2. \ell is a lower bound of SS if and only if -\ell is an upper bound of S-S.

Consequently SS is bounded above if and only if S-S is bounded below, SS is bounded below if and only if S-S is bounded above, and SS is bounded if and only if S-S is bounded (Lower bound, bounded below, bounded set).

Facts & Assumptions

Given: A subset SRS \subseteq \mathbb{R}, its reflection S={s:sS}-S = \{-s : s \in S\}, and elements u,Ru, \ell \in \mathbb{R}.

[L1]

R\mathbb{R} is a complete ordered field, in particular an ordered field (Complete ordered field (least-upper-bound property)), and in an ordered field the order is defined by the positive cone PP: x<yx < y means exactly yxPy - x \in P, and xyx \le y means x<yx < y or x=yx = y (Ordered field).

[L2]

Upper bound, lower bound, bounded above, bounded below and bounded have their meanings from Lower bound, bounded below, bounded set: uu bounds SS above when sus \le u for all sSs \in S, and \ell bounds SS below when s\ell \le s for all sSs \in S.

[L3]

Field arithmetic. Additive inverses are unique (Identities and inverses in a field are unique), and (x)+x=0(-x) + x = 0 by the inverse axiom, so xx is the additive inverse of x-x, that is (x)=x-(-x) = x. Addition is commutative and yxy - x abbreviates y+(x)y + (-x) (Field), so yx=y+(x)=(x)+y=(x)+((y))=(x)(y)y - x = y + (-x) = (-x) + y = (-x) + (-(-y)) = (-x) - (-y) for all x,yx, y.

Proof

technique · direct
1.1

For all x,yRx, y \in \mathbb{R} the field identity yx=(x)(y)y - x = (-x) - (-y) holds, and (x)=x-(-x) = x.

L3algebra
1.2

The map sss \mapsto -s sends SS onto S-S and S-S onto (S)-(-S), and since (s)=s-(-s) = s it is a bijection of SS with S-S whose inverse is itself; hence (S)=S-(-S) = S, and SS is nonempty exactly when S-S is nonempty.

L3algebra
2.1

For all x,yRx, y \in \mathbb{R}: x<yx < y holds exactly when yxy - x is positive, which by 1.1 is exactly when (x)(y)(-x) - (-y) is positive, which is exactly y<x-y < -x; and x=yx = y holds exactly when x=y-x = -y; hence xyx \le y if and only if yx-y \le -x.

step 1.1L1
3.1

Suppose uu is an upper bound of SS. Every element of S-S has the form s-s with sSs \in S, and sus \le u gives us-u \le -s; hence u-u is a lower bound of S-S.

assume-hypstep 2.1L2
3.2

Conversely, suppose u-u is a lower bound of S-S. For sSs \in S we have sS-s \in -S, so us-u \le -s, and applying 2.1 to this inequality gives sus \le u; hence uu is an upper bound of SS. This together with 3.1 proves claim 1.

assume-hypstep 2.1L2
3.3

Suppose \ell is a lower bound of SS. For sSs \in S we have s\ell \le s, hence s-s \le -\ell, and every element of S-S is such a s-s; hence -\ell is an upper bound of S-S.

assume-hypstep 2.1L2
3.4

Conversely, suppose -\ell is an upper bound of S-S. For sSs \in S we have sS-s \in -S, so s-s \le -\ell, and applying 2.1 gives s\ell \le s; hence \ell is a lower bound of SS. This together with 3.3 proves claim 2.

assume-hypstep 2.1L2
4.1

Claim 1 says the upper bounds of SS are exactly the negatives of the lower bounds of S-S, so SS is bounded above exactly when S-S is bounded below; claim 2 says likewise that SS is bounded below exactly when S-S is bounded above; combining the two, SS is bounded exactly when S-S is bounded, and (S)=S-(-S) = S with SS nonempty exactly when S-S is nonempty.

step 3.1step 3.2step 3.3step 3.4step 1.2L2
TheoremStatement: Literature-sourcedProof: Literature-sourcedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Every nonempty set bounded below has an infimum

Statement

Let SRS \subseteq \mathbb{R} be nonempty and bounded below. Then SS has a greatest lower bound in R\mathbb{R} (Greatest lower bound (infimum)), and it is given by

infS=sup(S),where S={s:sS}.\inf S = -\sup(-S), \qquad \text{where } -S = \{-s : s \in S\}.

In particular the complete ordered field R\mathbb{R} has the greatest-lower-bound property, which is therefore not an extra axiom: it is a consequence of the least-upper-bound property.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R} that is bounded below, and its reflection S={s:sS}-S = \{-s : s \in S\}.

[L1]

The least-upper-bound property of R\mathbb{R}: every nonempty subset of R\mathbb{R} that is bounded above has a least upper bound in R\mathbb{R}, namely an upper bound that is \le every upper bound (Complete ordered field (least-upper-bound property)).

[L2]

Reflection: (S)=S-(-S) = S; SS is nonempty exactly when S-S is; uu is an upper bound of a set XX exactly when u-u is a lower bound of X-X; and \ell is a lower bound of XX exactly when -\ell is an upper bound of X-X (Reflection through zero exchanges upper and lower bounds).

[L3]

Greatest lower bound (infimum): \ell is one for SS when \ell is a lower bound of SS and \ell' \le \ell for every lower bound \ell' of SS (Greatest lower bound (infimum)).

[L4]

A least upper bound and a greatest lower bound are unique when they exist, so the notations sup\sup and inf\inf are unambiguous (Suprema and infima are unique).

[L5]

Negation reverses the order, elementwise: (a)=a-(-a) = a, because (a)+a=0(-a) + a = 0 and additive inverses are unique (Field, Identities and inverses in a field are unique); and aba \le b if and only if ba-b \le -a, because translation invariance applied with the constant ab-a - b turns a<ba < b into b<a-b < -a and, applied with the constant a+ba + b, turns b<a-b < -a back into a<ba < b, while a=ba = b holds exactly when a=b-a = -b (Order is preserved by adding a constant and by adding inequalities).

Proof

technique · direct
1.1

By hypothesis SS \ne \emptyset and SS is bounded below; fix a lower bound 0\ell_0 of SS, so 0s\ell_0 \le s for every sSs \in S.

givenchoose
1.2

Let \ell' be an arbitrary lower bound of SS; then -\ell' is an upper bound of S-S.

assume-hypL2
2.1

Since SS is nonempty, so is S-S, and since 0\ell_0 is a lower bound of SS, its negative 0-\ell_0 is an upper bound of S-S; hence S-S is a nonempty subset of R\mathbb{R} that is bounded above.

step 1.1L2
3.1

By the least-upper-bound property, S-S has a least upper bound in R\mathbb{R}; write u:=sup(S)u := \sup(-S), which is well defined by uniqueness.

step 2.1L1L4
4.1

Define :=u\ell := -u.

step 3.1construct
4.2

The element uu is the least of the upper bounds of S-S and -\ell' is one of them, hence uu \le -\ell'.

step 1.2step 3.1L1
5.1

Apply the reflection fact to the set S-S: since uu is an upper bound of S-S, its negative u-u is a lower bound of (S)-(-S), and (S)=S-(-S) = S; so =u\ell = -u is a lower bound of SS.

step 4.1step 3.1L2
5.2

Negating the inequality uu \le -\ell' reverses it, giving ()u-(-\ell') \le -u, that is \ell' \le \ell.

step 4.2step 4.1L5
6.1

Thus \ell is a lower bound of SS satisfying \ell' \le \ell for every lower bound \ell' of SS, so \ell is a greatest lower bound of SS; it is the only one, so infS\inf S exists and infS==sup(S)\inf S = \ell = -\sup(-S).

step 5.1step 5.2L3L4

Remarks

  • The theorem is not a restatement of the least-upper-bound property: it is proved from it, by transporting the problem across the order-reversing bijection xxx \mapsto -x of Reflection through zero exchanges upper and lower bounds. Nothing about R\mathbb{R} beyond the complete-ordered-field axioms is used.
  • The hypotheses are both needed. The empty set is bounded below by every real and has no greatest lower bound, and a set unbounded below has no lower bound at all; the dual failures for suprema are recorded in FALSE: every subset of R\mathbb{R} has a supremum.
  • The identity infS=sup(S)\inf S = -\sup(-S) is the standard device for turning any statement about suprema into its dual; Epsilon characterisation of the infimum is the first application on this page.
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Epsilon characterisation of the supremum

Statement

Let SRS \subseteq \mathbb{R} be nonempty and bounded above, and let uu be an upper bound of SS (Complete ordered field (least-upper-bound property)). Then

u=supSfor every ε>0 there exists sS with uε<s.u = \sup S \quad \Longleftrightarrow \quad \text{for every } \varepsilon > 0 \text{ there exists } s \in S \text{ with } u - \varepsilon < s.

In words: among the upper bounds of SS, the supremum is exactly the one that cannot be lowered by any positive amount and still bound SS.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R} that is bounded above, and an upper bound uu of SS; since SS is nonempty and bounded above, supS\sup S exists.

[L1]

Supremum: u=supSu = \sup S exactly when uu is an upper bound of SS and uuu \le u' for every upper bound uu' of SS; and every nonempty subset of R\mathbb{R} that is bounded above has such a least upper bound (Complete ordered field (least-upper-bound property)).

[L2]

The least upper bound is unique, so the equation u=supSu = \sup S says precisely that uu is a least upper bound of SS (Suprema and infima are unique).

[L3]

The order is total: for a,bRa, b \in \mathbb{R} exactly one of a<ba < b, a=ba = b, b<ab < a holds, so the negation of aba \le b is b<ab < a; and a<ba < b holds exactly when ba>0b - a > 0 (Complete ordered field (least-upper-bound property), Ordered field). (Translation invariance follows in one line from that last equivalence, since (b+c)(a+c)=ba(b + c) - (a + c) = b - a, but no step below uses it and it is not claimed here as a quoted result.)

Proof

technique · direct
1.1

For the forward implication assume u=supSu = \sup S, that is, uu is an upper bound of SS that is \le every upper bound of SS, and let ε>0\varepsilon > 0 be arbitrary.

assume-hypL1L2
1.2

For the converse implication assume that uu is an upper bound of SS such that for every ε>0\varepsilon > 0 there exists sSs \in S with uε<su - \varepsilon < s, and let uu' be an arbitrary upper bound of SS.

assume-hyp
2.1

Since u(uε)=ε>0u - (u - \varepsilon) = \varepsilon > 0, we have uε<uu - \varepsilon < u.

step 1.1L3algebra
2.2

By totality either uuu \le u' or u<uu' < u; in the second case put ε0:=uu\varepsilon_0 := u - u', so that ε0>0\varepsilon_0 > 0 and uε0=uu - \varepsilon_0 = u'.

step 1.2L3algebra
3.1

The element uεu - \varepsilon is not an upper bound of SS: if it were, the leastness of uu among upper bounds would give uuεu \le u - \varepsilon, which contradicts uε<uu - \varepsilon < u by trichotomy.

step 2.1step 1.1L1L3
3.2

In that second case the hypothesis applied to ε0\varepsilon_0 yields s0Ss_0 \in S with u=uε0<s0u' = u - \varepsilon_0 < s_0, so s0us_0 \le u' fails, contradicting that uu' is an upper bound of SS; the second case is therefore impossible and uuu \le u'.

step 2.2step 1.2L3
4.1

Failing to be an upper bound of SS means precisely that some sSs \in S does not satisfy suεs \le u - \varepsilon, and by totality that says uε<su - \varepsilon < s; since ε>0\varepsilon > 0 was arbitrary, the forward implication is proved.

step 3.1L3
4.2

Since uu' was an arbitrary upper bound of SS, we get uuu \le u' for every upper bound uu'; as uu is itself an upper bound, uu is a least upper bound of SS, hence u=supSu = \sup S by uniqueness, which proves the converse implication.

step 3.2step 1.2L1L2
5.1

Both implications hold, so for an upper bound uu of a nonempty set SS bounded above, u=supSu = \sup S if and only if for every ε>0\varepsilon > 0 there is sSs \in S with uε<su - \varepsilon < s.

step 4.1step 4.2
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Epsilon characterisation of the infimum

Statement

Let SRS \subseteq \mathbb{R} be nonempty and bounded below, and let \ell be a lower bound of SS (Lower bound, bounded below, bounded set). Then

=infSfor every ε>0 there exists sS with s<+ε.\ell = \inf S \quad \Longleftrightarrow \quad \text{for every } \varepsilon > 0 \text{ there exists } s \in S \text{ with } s < \ell + \varepsilon.

In words: among the lower bounds of SS, the infimum is exactly the one that cannot be raised by any positive amount and still bound SS from below.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R} that is bounded below, a lower bound \ell of SS, and the reflection T:=S={s:sS}T := -S = \{-s : s \in S\}.

[L1]

Reflection, at the level of sets: SS is nonempty exactly when TT is; \ell is a lower bound of SS exactly when -\ell is an upper bound of TT; and SS is bounded below exactly when TT is bounded above (Reflection through zero exchanges upper and lower bounds). Elementwise, negation reverses the order: (a)=a-(-a) = a, because (a)+a=0(-a) + a = 0 and additive inverses are unique (Field, Identities and inverses in a field are unique); and a<ba < b exactly when b<a-b < -a, because translation invariance applied with the constant ab-a - b turns a<ba < b into b<a-b < -a and, applied with the constant a+ba + b, turns it back (Order is preserved by adding a constant and by adding inequalities).

[L2]

Every nonempty SRS \subseteq \mathbb{R} bounded below has an infimum, and infS=sup(S)=supT\inf S = -\sup(-S) = -\sup T (Every nonempty set bounded below has an infimum).

[L3]

Epsilon characterisation of the supremum: for a nonempty XRX \subseteq \mathbb{R} bounded above and an upper bound vv of XX, one has v=supXv = \sup X if and only if for every ε>0\varepsilon > 0 there is xXx \in X with vε<xv - \varepsilon < x (Epsilon characterisation of the supremum).

Proof

technique · direct
1.1

Since SS is nonempty and bounded below and \ell is a lower bound of SS, the set TT is nonempty and -\ell is an upper bound of TT, so TT is nonempty and bounded above.

givenL1
1.2

For sRs \in \mathbb{R} and ε>0\varepsilon > 0, negation turns the inequality ()ε<s(-\ell) - \varepsilon < -s into s<+εs < \ell + \varepsilon and back, because (s)=s-(-s) = s and (()ε)=+ε-\big((-\ell) - \varepsilon\big) = \ell + \varepsilon.

L1algebra
2.1

By [L2] the infimum of SS exists and equals supT-\sup T; hence =infS\ell = \inf S holds if and only if =supT\ell = -\sup T, which by negating both sides holds if and only if =supT-\ell = \sup T.

step 1.1L2L1
3.1

Applying [L3] to the nonempty bounded-above set TT and its upper bound -\ell: =supT-\ell = \sup T if and only if for every ε>0\varepsilon > 0 there is tTt \in T with ()ε<t(-\ell) - \varepsilon < t.

step 1.1step 2.1L3
4.1

The elements of TT are exactly the s-s with sSs \in S, so by 1.2 the condition "there is tTt \in T with ()ε<t(-\ell) - \varepsilon < t" is equivalent to "there is sSs \in S with s<+εs < \ell + \varepsilon".

step 1.2step 3.1L1
5.1

Chaining the equivalences, =infS\ell = \inf S if and only if for every ε>0\varepsilon > 0 there is sSs \in S with s<+εs < \ell + \varepsilon.

step 2.1step 3.1step 4.1
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

The supremum is attained exactly when a maximum exists

Statement

Let SRS \subseteq \mathbb{R} be nonempty.

  1. If SS has a maximum (Maximum and minimum of a set), then supS\sup S exists and supS=maxS\sup S = \max S.
  2. If supS\sup S exists and supSS\sup S \in S, then SS has a maximum and maxS=supS\max S = \sup S.

Hence, for a set whose supremum exists, the supremum is attained (belongs to the set) precisely when the set has a maximum, and then the two agree.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R}.

[L1]

Maximum: m=maxSm = \max S means mSm \in S and sms \le m for every sSs \in S; a maximum is unique (Maximum and minimum of a set).

[L2]

Supremum: u=supSu = \sup S means uu is an upper bound of SS, that is sus \le u for every sSs \in S, and uuu \le u' for every upper bound uu' of SS; it is unique when it exists (Suprema and infima are unique, Complete ordered field (least-upper-bound property)).

Proof

technique · direct
1.1

For claim 1 assume SS has a maximum mm: then mSm \in S and sms \le m for every sSs \in S, so mm is in particular an upper bound of SS.

assume-hypL1L2
1.2

For claim 2 assume supS\sup S exists and lies in SS, and write u:=supSSu := \sup S \in S.

assume-hypL2
2.1

Let uu' be an arbitrary upper bound of SS; since mSm \in S, the defining property of an upper bound applied to the element mm gives mum \le u'.

step 1.1L2
2.2

Since u=supSu = \sup S is an upper bound of SS we have sus \le u for every sSs \in S, and by assumption uSu \in S; these are exactly the two requirements for uu to be a maximum of SS, so maxS\max S exists and equals u=supSu = \sup S by uniqueness of the maximum, proving claim 2.

step 1.2L1L2
3.1

Thus mm is an upper bound of SS with mum \le u' for every upper bound uu' of SS, which is exactly the definition of a least upper bound; hence supS\sup S exists and, by uniqueness of the least upper bound, supS=m=maxS\sup S = m = \max S, proving claim 1.

step 1.1step 2.1L1L2
4.1

Combining the two claims: when supS\sup S exists, supSS\sup S \in S holds if and only if SS has a maximum, and in that case supS=maxS\sup S = \max S.

step 2.2step 3.1

Remarks

LemmaStatement: AI-adaptedProof: AI-generatedprecheck passverified 2026-08-04 (gpt-5.6-sol-codex-subscription)Open item page →

Every nonempty finite set of reals has a maximum and a minimum

Statement

For every nNn \in \mathbb{N} and all a0,a1,,anRa_0, a_1, \dots, a_n \in \mathbb{R}, the set {a0,a1,,an}\{a_0, a_1, \dots, a_n\} has a maximum and a minimum (Maximum and minimum of a set).

What is proved below is exactly the displayed statement, by induction on nn.

The usual reading, that every nonempty finite subset of R\mathbb{R} has a maximum and a minimum, follows once one identifies the nonempty finite subsets of R\mathbb{R} with the sets listable as {a0,,an}\{a_0, \dots, a_n\}. That identification is recorded as a stipulation in the Given below, because this page has no definition of finiteness to prove it against. It is discharged, not merely assumed: The nonempty finite subsets of R\mathbb{R} are exactly the listable ones proves that the two descriptions of a nonempty finite subset of R\mathbb{R} agree. That lemma is recorded in justified_by rather than in deps, since it is about the sets this lemma quantifies over and therefore depends on this one. This is what licenses the notation max{a1,,an}\max\{a_1, \dots, a_n\} and min{a1,,an}\min\{a_1, \dots, a_n\} for finite sets of real numbers from this page onwards.

Facts & Assumptions

Given: Real numbers a0,a1,a2,a_0, a_1, a_2, \dots; for nNn \in \mathbb{N} write Fn:={a0,,an}F_n := \{a_0, \dots, a_n\}, so that Fn+1=Fn{an+1}F_{n+1} = F_n \cup \{a_{n+1}\}. A subset of R\mathbb{R} is nonempty and finite exactly when it equals FnF_n for some nNn \in \mathbb{N} and some choice of a0,,ana_0, \dots, a_n.

[A1]

P(n)P(n) denotes the statement: for all a0,,anRa_0, \dots, a_n \in \mathbb{R}, the set FnF_n has a maximum and a minimum.

[L1]

Maximum and minimum: m=maxXm = \max X means mXm \in X and xmx \le m for all xXx \in X; m=minXm = \min X means mXm \in X and mxm \le x for all xXx \in X; each is unique when it exists (Maximum and minimum of a set).

[L2]

Induction principle: if P(0)P(0) holds and P(n)P(n) implies P(n+1)P(n+1) for every nNn \in \mathbb{N}, then P(n)P(n) holds for every nNn \in \mathbb{N}, where n+1n + 1 denotes the successor σ(n)\sigma(n) (The principle of mathematical induction, Addition of natural numbers).

[L3]

The order on R\mathbb{R} is reflexive, total and transitive: aaa \le a; for all a,ba, b exactly one of a<ba < b, a=ba = b, b<ab < a holds, so at least one of aba \le b and bab \le a holds; and aba \le b with bcb \le c gives aca \le c (Complete ordered field (least-upper-bound property), Ordered field).

Proof

technique · induction
1.1

Base case: F0={a0}F_0 = \{a_0\}, and a0F0a_0 \in F_0 with a0a0a_0 \le a_0 by reflexivity, so a0a_0 is both a maximum and a minimum of F0F_0; hence P(0)P(0) holds.

baseA1L1L3
1.2

Inductive hypothesis: fix nNn \in \mathbb{N} and assume P(n)P(n), that is, for all reals a0,,ana_0, \dots, a_n the set FnF_n has a maximum and a minimum.

ihA1
2.1

Let a0,,an+1Ra_0, \dots, a_{n+1} \in \mathbb{R} be arbitrary; by the inductive hypothesis the set FnF_n has a maximum MM and a minimum mm, and Fn+1=Fn{an+1}F_{n+1} = F_n \cup \{a_{n+1}\}.

step 1.2L1
3.1

By totality at least one of an+1Ma_{n+1} \le M and Man+1M \le a_{n+1} holds. If an+1Ma_{n+1} \le M, then MFnFn+1M \in F_n \subseteq F_{n+1}, every element of FnF_n is M\le M because M=maxFnM = \max F_n, and an+1Ma_{n+1} \le M as well, so MM is a maximum of Fn+1F_{n+1}. If Man+1M \le a_{n+1}, then an+1Fn+1a_{n+1} \in F_{n+1}, every xFnx \in F_n satisfies xMan+1x \le M \le a_{n+1} hence xan+1x \le a_{n+1} by transitivity, and an+1an+1a_{n+1} \le a_{n+1}, so an+1a_{n+1} is a maximum of Fn+1F_{n+1}. Either way Fn+1F_{n+1} has a maximum.

step 2.1L1L3
3.2

Dually, at least one of man+1m \le a_{n+1} and an+1ma_{n+1} \le m holds. If man+1m \le a_{n+1}, then mFn+1m \in F_{n+1} and every element of Fn+1F_{n+1} is m\ge m, so mm is a minimum of Fn+1F_{n+1}. If an+1ma_{n+1} \le m, then an+1Fn+1a_{n+1} \in F_{n+1} and every xFnx \in F_n satisfies an+1mxa_{n+1} \le m \le x hence an+1xa_{n+1} \le x by transitivity, so an+1a_{n+1} is a minimum of Fn+1F_{n+1}. Either way Fn+1F_{n+1} has a minimum.

step 2.1L1L3
4.1

Since a0,,an+1a_0, \dots, a_{n+1} were arbitrary, Fn+1F_{n+1} has a maximum and a minimum for every such list, that is, P(n)P(n) implies P(n+1)P(n+1).

step 3.1step 3.2A1
5.1

The base case and the inductive step give P(n)P(n) for every nNn \in \mathbb{N} by the induction principle; since a nonempty finite subset of R\mathbb{R} is exactly a set of the form FnF_n, every nonempty finite subset of R\mathbb{R} has both a maximum and a minimum.

step 1.1step 4.1givenL2discharge-induction

Remarks

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (openai/gpt-5.4)verified 2026-07-26 (claude-opus-5)Open item page →

Monotonicity of the supremum under inclusion

Statement

Let SS and TT be subsets of R\mathbb{R} with ST\emptyset \ne S \subseteq T, and suppose TT is bounded above. Then SS is nonempty and bounded above, both supS\sup S and supT\sup T exist, and

supSsupT.\sup S \le \sup T.

Facts & Assumptions

Given: Sets S,TRS, T \subseteq \mathbb{R} with SS \ne \emptyset, STS \subseteq T, and TT bounded above.

[L1]

Supremum and the least-upper-bound property: u=supXu = \sup X means uu is an upper bound of XX and uuu \le u' for every upper bound uu' of XX; every nonempty XRX \subseteq \mathbb{R} that is bounded above has such a uu (Complete ordered field (least-upper-bound property)).

[L2]

A least upper bound is unique, so supX\sup X denotes a single real number (Suprema and infima are unique).

Proof

technique · direct
1.1

Since TT is bounded above, fix an upper bound uu of TT, so tut \le u for every tTt \in T.

givenchoose
1.2

By hypothesis SS is nonempty and STS \subseteq T, so TT is nonempty as well.

given
2.1

Every sSs \in S lies in TT and therefore satisfies sus \le u; hence uu is an upper bound of SS and SS is bounded above.

step 1.1step 1.2L1
3.1

Both SS and TT are nonempty and bounded above, so by the least-upper-bound property supS\sup S and supT\sup T exist, each uniquely.

step 1.2step 2.1L1L2
4.1

As supT\sup T is an upper bound of TT, every tTt \in T satisfies tsupTt \le \sup T; since STS \subseteq T, every sSs \in S satisfies ssupTs \le \sup T, so supT\sup T is an upper bound of SS.

step 3.1step 1.2L1
5.1

The number supS\sup S is the least of the upper bounds of SS, and supT\sup T is one of them, hence supSsupT\sup S \le \sup T.

step 4.1step 3.1L1

Remarks

  • The hypothesis that the larger set is bounded above cannot be weakened to the smaller one being bounded above: supT\sup T has to exist for the inequality to mean anything.
  • The dual statement, infTinfS\inf T \le \inf S for ST\emptyset \ne S \subseteq T with TT bounded below, follows by applying this lemma to ST\emptyset \ne -S \subseteq -T, which gives sup(S)sup(T)\sup(-S) \le \sup(-T), and then negating and using infX=sup(X)\inf X = -\sup(-X) (Reflection through zero exchanges upper and lower bounds, Every nonempty set bounded below has an infimum).
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (openai/gpt-5.4)verified 2026-07-26 (claude-opus-5)Open item page →

Supremum of a translate: sup(a+S)=a+supS\sup(a + S) = a + \sup S

Statement

Let SRS \subseteq \mathbb{R} be nonempty and bounded above and let aRa \in \mathbb{R}. Write a+S:={a+s:sS}a + S := \{a + s : s \in S\}. Then a+Sa + S is nonempty and bounded above, and

sup(a+S)=a+supS.\sup(a + S) = a + \sup S.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R} that is bounded above, an element aRa \in \mathbb{R}, and the translate a+S={a+s:sS}a + S = \{a + s : s \in S\}.

[L1]

Epsilon characterisation of the supremum: for a nonempty XRX \subseteq \mathbb{R} bounded above and an upper bound vv of XX, one has v=supXv = \sup X if and only if for every ε>0\varepsilon > 0 there is xXx \in X with vε<xv - \varepsilon < x (Epsilon characterisation of the supremum).

[L2]

Adding a constant preserves the order: x<yx < y implies x+c<y+cx + c < y + c, and hence xyx \le y if and only if x+cy+cx + c \le y + c, since one may add c-c to return (Order is preserved by adding a constant and by adding inequalities).

[L3]

Supremum and the least-upper-bound property: every nonempty XRX \subseteq \mathbb{R} bounded above has a least upper bound supX\sup X, an upper bound that is \le every upper bound of XX (Complete ordered field (least-upper-bound property)).

Proof

technique · direct
1.1

Since SS is nonempty and bounded above, the least-upper-bound property gives u:=supSu := \sup S, which is an upper bound of SS.

givenL3
1.2

The set a+Sa + S is nonempty, because SS has an element ss and then a+sa+Sa + s \in a + S.

given
2.1

Every sSs \in S satisfies sus \le u, hence a+sa+ua + s \le a + u; as the elements of a+Sa + S are exactly these a+sa + s, the number a+ua + u is an upper bound of a+Sa + S, so a+Sa + S is bounded above.

step 1.1L2
2.2

Let ε>0\varepsilon > 0. Applying the epsilon characterisation to SS and its supremum uu produces sSs \in S with uε<su - \varepsilon < s, and adding aa gives (a+u)ε=a+(uε)<a+s(a + u) - \varepsilon = a + (u - \varepsilon) < a + s, where a+sa+Sa + s \in a + S.

step 1.1L1L2algebra
3.1

The set a+Sa + S is nonempty and bounded above, so sup(a+S)\sup(a + S) exists.

step 1.2step 2.1L3
4.1

Now a+ua + u is an upper bound of a+Sa + S and for every ε>0\varepsilon > 0 some element of a+Sa + S exceeds (a+u)ε(a + u) - \varepsilon, so the epsilon characterisation applied to a+Sa + S gives sup(a+S)=a+u=a+supS\sup(a + S) = a + u = a + \sup S.

step 2.1step 2.2step 3.1L1
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Supremum of a scalar multiple

Statement

Let SRS \subseteq \mathbb{R} be nonempty, let cRc \in \mathbb{R} with c0c \ne 0, and write cS:={cs:sS}cS := \{cs : s \in S\}.

  1. If c>0c > 0 and SS is bounded above, then cScS is nonempty and bounded above and sup(cS)=csupS\sup(cS) = c \sup S.
  2. If c<0c < 0 and SS is bounded below, then cScS is nonempty and bounded above and sup(cS)=cinfS\sup(cS) = c \inf S.

Multiplying by a negative number turns the bottom of a set into the top of its image, which is why claim 2 has an infimum on the right.

Facts & Assumptions

Given: A nonempty SRS \subseteq \mathbb{R}, a nonzero cRc \in \mathbb{R}, and the dilate cS={cs:sS}cS = \{cs : s \in S\}; in claim 1 the set SS is bounded above and in claim 2 it is bounded below.

[L1]

Supremum and the least-upper-bound property: v=supXv = \sup X means vv is an upper bound of XX with vvv \le v' for every upper bound vv' of XX, and every nonempty XRX \subseteq \mathbb{R} bounded above has such a vv (Complete ordered field (least-upper-bound property)).

[L2]

Multiplying an inequality by a nonzero constant, in equivalence form: for c>0c > 0 one has x<y    xc<ycx < y \iff xc < yc, and for c<0c < 0 one has x<y    yc<xcx < y \iff yc < xc (claims 4 and 5 of Sign rules for products and monotonicity of multiplication). Adjoining the case x=yx = y, in which xc=ycxc = yc, gives the nonstrict implications used below: for c>0c > 0, xyxcycx \le y \Rightarrow xc \le yc; for c<0c < 0, xyycxcx \le y \Rightarrow yc \le xc.

[L3]

Epsilon characterisation of the supremum: for a nonempty XRX \subseteq \mathbb{R} bounded above and an upper bound vv of XX, one has v=supXv = \sup X if and only if for every ε>0\varepsilon > 0 there is xXx \in X with vε<xv - \varepsilon < x (Epsilon characterisation of the supremum).

[L4]

Infimum: every nonempty XRX \subseteq \mathbb{R} bounded below has a greatest lower bound infX\inf X, that is, a lower bound with infX\ell' \le \inf X for every lower bound \ell' of XX (Every nonempty set bounded below has an infimum, Greatest lower bound (infimum)).

[L5]

Trichotomy: for a,bRa, b \in \mathbb{R} exactly one of a<ba < b, a=ba = b, b<ab < a holds, so the negation of aba \le b is b<ab < a, and a nonzero cc satisfies exactly one of c>0c > 0, c<0c < 0 (Complete ordered field (least-upper-bound property), Ordered field).

[L6]

Field and order arithmetic: a nonzero cc has an inverse c1c^{-1} with c1c=1c^{-1} c = 1, and multiplication distributes over addition (Field); 0c=00 \cdot c = 0 (Multiplication by zero: 0a=00 \cdot a = 0); and adding a constant preserves the order (Order is preserved by adding a constant and by adding inequalities).

Proof

technique · cases
1.1

Case c>0c > 0, in which SS is nonempty and bounded above: the least-upper-bound property supplies u:=supSu := \sup S, an upper bound of SS that is \le every upper bound of SS.

assume-case posL1
1.2

Case c<0c < 0, in which SS is nonempty and bounded below: SS has a greatest lower bound, and we set :=infS\ell := \inf S, a lower bound of SS with \ell' \le \ell for every lower bound \ell' of SS.

assume-case negL4
2.1

In the case c>0c > 0, every sSs \in S satisfies sus \le u, hence scucsc \le uc, that is cscucs \le cu; since the elements of cScS are exactly these cscs and SS \ne \emptyset, the set cScS is nonempty and cucu is an upper bound of it.

step 1.1L2
2.2

In the case c<0c < 0, every sSs \in S satisfies s\ell \le s, and multiplying by the negative cc reverses this to sccsc \le \ell c, that is csccs \le c\ell; so cScS is nonempty and cc\ell is an upper bound of it.

step 1.2L2
2.3

In the case c>0c > 0, let ε>0\varepsilon > 0 and put δ:=εc1\delta := \varepsilon c^{-1}, so that δc=ε\delta c = \varepsilon; from 0c=0<ε=δc0 \cdot c = 0 < \varepsilon = \delta c and c>0c > 0 the equivalence form of [L2] gives δ>0\delta > 0, so the epsilon characterisation applied to SS and uu yields sSs \in S with uδ<su - \delta < s, and multiplying that inequality by c>0c > 0 gives cuε=(uδ)c<sc=cscu - \varepsilon = (u - \delta)c < sc = cs, an element of cScS.

step 1.1L2L3L6algebra
2.4

In the case c<0c < 0, let ε>0\varepsilon > 0 and put δ:=εc1\delta := -\varepsilon c^{-1}, so that δc=ε<0=0c\delta c = -\varepsilon < 0 = 0 \cdot c, which for the negative multiplier cc gives δ>0\delta > 0 by [L2]; then <+δ\ell < \ell + \delta, and +δ\ell + \delta cannot be a lower bound of SS, since greatestness of \ell would force +δ\ell + \delta \le \ell and hence δ0\delta \le 0; so some sSs \in S fails +δs\ell + \delta \le s, which by trichotomy means s<+δs < \ell + \delta, and multiplying by c<0c < 0 reverses it to cε=(+δ)c<sc=csc\ell - \varepsilon = (\ell + \delta)c < sc = cs, an element of cScS.

step 1.2L2L4L5L6algebra
3.1

In the case c>0c > 0, the set cScS is nonempty and bounded above by cucu, and for every ε>0\varepsilon > 0 some element of cScS exceeds cuεcu - \varepsilon, so sup(cS)\sup(cS) exists and the epsilon characterisation identifies it: sup(cS)=cu=csupS\sup(cS) = cu = c \sup S, which is claim 1.

step 2.1step 2.3L1L3
3.2

In the case c<0c < 0, the set cScS is nonempty and bounded above by cc\ell, and for every ε>0\varepsilon > 0 some element of cScS exceeds cεc\ell - \varepsilon, so sup(cS)\sup(cS) exists and equals c=cinfSc\ell = c \inf S, which is claim 2.

step 2.2step 2.4L1L3
4.1

A nonzero cc satisfies exactly one of c>0c > 0 and c<0c < 0, so the two cases are mutually exclusive and together exhaust the hypothesis c0c \ne 0, and each has been settled; both claims therefore hold.

step 3.1step 3.2L5cases-exhaustive

Remarks

  • The value c=0c = 0 is excluded because it is degenerate rather than difficult: for nonempty SS one has 0S={0}0 \cdot S = \{0\}, so sup(0S)=0\sup(0 \cdot S) = 0 whatever SS is, and no information about supS\sup S or infS\inf S survives.
  • Claim 2 needs SS bounded below, not bounded above: for c<0c < 0 the image cScS is bounded above exactly when SS is bounded below (Reflection through zero exchanges upper and lower bounds is the case c=1c = -1).
  • Companion identities for the infimum, with their own hypotheses. Write infX=sup(X)\inf X = -\sup(-X) (Every nonempty set bounded below has an infimum), so inf(cS)=sup((c)S)\inf(cS) = -\sup((-c)S). For c>0c > 0 the multiplier c-c is negative, so this is claim 2 applied to c-c, and it needs SS nonempty and bounded below; it gives inf(cS)=cinfS\inf(cS) = c \inf S. For c<0c < 0 the multiplier c-c is positive, so this is claim 1 applied to c-c, and it needs SS nonempty and bounded above; it gives inf(cS)=csupS\inf(cS) = c \sup S. Note that each companion carries the OPPOSITE boundedness hypothesis to the supremum claim for the same multiplier: for c>0c > 0 claim 1 assumes SS bounded above while the companion assumes SS bounded below, and for c<0c < 0 claim 2 assumes SS bounded below while the companion assumes SS bounded above. Neither companion follows from the supremum claim for its own sign of cc; each goes through the claim for the opposite sign, together with infX=sup(X)\inf X = -\sup(-X).
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

Supremum of a sumset: sup(S+T)=supS+supT\sup(S + T) = \sup S + \sup T

Statement

Let S,TRS, T \subseteq \mathbb{R} be nonempty and bounded above, and write S+T:={s+t:sS, tT}S + T := \{s + t : s \in S,\ t \in T\}. Then S+TS + T is nonempty and bounded above, and

sup(S+T)=supS+supT.\sup(S + T) = \sup S + \sup T.

Facts & Assumptions

Given: Nonempty sets S,TRS, T \subseteq \mathbb{R}, both bounded above, and the sumset S+T={s+t:sS, tT}S + T = \{s + t : s \in S,\ t \in T\}.

[L1]

Epsilon characterisation of the supremum: for a nonempty XRX \subseteq \mathbb{R} bounded above and an upper bound ww of XX, one has w=supXw = \sup X if and only if for every ε>0\varepsilon > 0 there is xXx \in X with wε<xw - \varepsilon < x (Epsilon characterisation of the supremum).

[L2]

Order and addition: strict inequalities translate and add, that is x<yx < y implies x+c<y+cx + c < y + c, and x<yx < y together with z<wz < w gives x+z<y+wx + z < y + w (claims 1 and 2 of Order is preserved by adding a constant and by adding inequalities). Adjoining the case of equality, in which both sides move by the same amount, gives the nonstrict forms used below: xyx \le y implies x+cy+cx + c \le y + c, and xyx \le y together with zwz \le w gives x+zy+wx + z \le y + w.

[L3]

Supremum and the least-upper-bound property: w=supXw = \sup X means ww is an upper bound of XX with www \le w' for every upper bound ww' of XX, and every nonempty XRX \subseteq \mathbb{R} bounded above has such a ww (Complete ordered field (least-upper-bound property)).

[L4]

Halving: 0<10 < 1 (The multiplicative identity is positive); the positives are closed under addition, so 2:=1+1>02 := 1 + 1 > 0, and by trichotomy a positive element is nonzero, so 202 \ne 0 (axioms O2 and O1 of Ordered field); hence 212^{-1} exists (Field) and 02=00 \cdot 2 = 0 (Multiplication by zero: 0a=00 \cdot a = 0); and for the positive multiplier 22 one has x<yx < y if and only if x2<y2x \cdot 2 < y \cdot 2 (claim 4 of Sign rules for products and monotonicity of multiplication).

Proof

technique · direct
1.1

Both SS and TT are nonempty and bounded above, so the least-upper-bound property supplies u:=supSu := \sup S and v:=supTv := \sup T, upper bounds of SS and of TT respectively.

givenL3
1.2

The sumset S+TS + T is nonempty: picking sSs \in S and tTt \in T, which is possible since both sets are nonempty, gives s+tS+Ts + t \in S + T.

given
2.1

For sSs \in S and tTt \in T we have sus \le u and tvt \le v, and adding these inequalities gives s+tu+vs + t \le u + v; since every element of S+TS + T has this form, u+vu + v is an upper bound of S+TS + T, so S+TS + T is bounded above.

step 1.1L2
2.2

Let ε>0\varepsilon > 0 and put η:=ε21\eta := \varepsilon \cdot 2^{-1}, so that η2=ε\eta \cdot 2 = \varepsilon and η+η=η(1+1)=ε\eta + \eta = \eta(1 + 1) = \varepsilon; from 02=0<ε=η20 \cdot 2 = 0 < \varepsilon = \eta \cdot 2 and 2>02 > 0 we get η>0\eta > 0, so the epsilon characterisation applied to SS with uu and to TT with vv produces sSs \in S with uη<su - \eta < s and tTt \in T with vη<tv - \eta < t, and adding these strict inequalities gives (u+v)ε=(uη)+(vη)<s+t(u + v) - \varepsilon = (u - \eta) + (v - \eta) < s + t, an element of S+TS + T.

step 1.1L1L2L4algebra
3.1

The set S+TS + T is nonempty and bounded above, so sup(S+T)\sup(S + T) exists.

step 1.2step 2.1L3
4.1

Now u+vu + v is an upper bound of S+TS + T and for every ε>0\varepsilon > 0 some element of S+TS + T exceeds (u+v)ε(u + v) - \varepsilon, so the epsilon characterisation applied to S+TS + T gives sup(S+T)=u+v=supS+supT\sup(S + T) = u + v = \sup S + \sup T.

step 2.1step 2.2step 3.1L1

Remarks

  • The inequality sup(S+T)supS+supT\sup(S + T) \le \sup S + \sup T is the easy half and needs only that u+vu + v bounds S+TS + T; the content is the reverse inequality, and the halving of ε\varepsilon is what lets two separate approximations be combined without overshooting.
  • The corresponding statement for infima, inf(S+T)=infS+infT\inf(S + T) = \inf S + \inf T for nonempty S,TS, T bounded below, follows by reflection (Reflection through zero exchanges upper and lower bounds, Every nonempty set bounded below has an infimum), since (S+T)=(S)+(T)-(S + T) = (-S) + (-T).
  • No analogue holds for products in general: sign changes break the argument, and sup(ST)\sup(ST) is not determined by supS\sup S and supT\sup T alone.
RemarkRemark: AI-adaptedProof: Not applicableverified 2026-08-04 (gpt-5.6-sol-codex-subscription)Open item page →

Conventions: sup\sup \emptyset, unbounded sets, and the extended reals

Many texts, especially in measure theory, lattice theory and optimisation, work in the extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\} and adopt the conventions

sup=,inf=+,supS=+  for S not bounded above,infS=  for S not bounded below.\sup \emptyset = -\infty, \qquad \inf \emptyset = +\infty, \qquad \sup S = +\infty \ \text{ for } S \text{ not bounded above}, \qquad \inf S = -\infty \ \text{ for } S \text{ not bounded below}.

With those conventions in force, every subset of R\mathbb{R} has a supremum and an infimum in R\overline{\mathbb{R}}, and the two exceptional cases recorded in FALSE: every subset of R\mathbb{R} has a supremum disappear. The conventions are consistent and often convenient. The value sup=\sup \emptyset = -\infty is not arbitrary: it is forced by monotonicity under inclusion together with sup{x}=x\sup \{x\} = x, since {x}\emptyset \subseteq \{x\} then gives supx\sup \emptyset \le x for every real xx, and -\infty is the only element of R\overline{\mathbb{R}} below every real. (Monotonicity together with supR=+\sup \mathbb{R} = +\infty forces nothing here: it only gives sup+\sup \emptyset \le +\infty.) The convention also makes sup(ST)=max{supS,supT}\sup(S \cup T) = \max\{\sup S, \sup T\} hold without side conditions.

This library does not adopt them. Two reasons, both about keeping the foundations honest.

  • ±\pm\infty are not elements of R\mathbb{R}. The library's R\mathbb{R} is the complete ordered field (Complete ordered field (least-upper-bound property)), and R\overline{\mathbb{R}} is not a field: ++\infty has no additive inverse, and the expressions (+)+()(+\infty) + (-\infty) and 0(+)0 \cdot (+\infty) have no definition that keeps the field axioms. Writing supS=+\sup S = +\infty silently moves the discussion into a different structure, and every subsequent algebraic step then needs its own justification.
  • Suppressed hypotheses become invisible errors. If supS\sup S is always defined, a statement such as "sup(S+T)=supS+supT\sup(S + T) = \sup S + \sup T" appears to be unconditional, and the cases where it degenerates are hidden inside the arithmetic of ±\pm\infty rather than shown in the hypotheses.

Accordingly, in this library:

A reader coming from a source that uses the extended-real conventions should therefore expect the statements here to look more heavily qualified than the ones they are used to. The mathematics is the same; the difference is where the case analysis is written down. The extended real line is introduced explicitly in The extended real line R=R{,+}\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}, its order, and the arithmetic that is left undefined for later limsup and liminf arguments, with its order and partial arithmetic kept separate from R\mathbb{R}.

5 · Examples, counterexamples and false statements

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

FALSE: the supremum of a set belongs to the set

Statement

False claim: if SRS \subseteq \mathbb{R} is nonempty and bounded above, then supSS\sup S \in S.

Equivalently, the false claim asserts that every nonempty set bounded above has a maximum (Maximum and minimum of a set). It is refuted below by the open unit interval, whose supremum exists, is unique, and lies outside the set.

Facts & Assumptions

Given: The set S:={xR:0<x<1}S := \{x \in \mathbb{R} : 0 < x < 1\} inside the complete ordered field R\mathbb{R}, and the abbreviation 2:=1+12 := 1 + 1.

[L1]

Epsilon characterisation of the supremum: for a nonempty XRX \subseteq \mathbb{R} bounded above and an upper bound ww of XX, one has w=supXw = \sup X if and only if for every ε>0\varepsilon > 0 there is xXx \in X with wε<xw - \varepsilon < x (Epsilon characterisation of the supremum).

[L2]

Maximum: m=maxXm = \max X means mXm \in X and xmx \le m for every xXx \in X (Maximum and minimum of a set).

[L3]

Order: trichotomy holds, so exactly one of a<ba < b, a=ba = b, b<ab < a is true, the negation of aba \le b is b<ab < a, and a<aa < a is impossible; the order is transitive; and adding a constant preserves it, so a<ba < b if and only if a+c<b+ca + c < b + c (Complete ordered field (least-upper-bound property), Ordered field, Order is preserved by adding a constant and by adding inequalities).

[L4]

Positivity and multiplication: 0<10 < 1 (The multiplicative identity is positive); sums and products of positive elements are positive (axiom O2 of Ordered field); every nonzero element has a multiplicative inverse (Field); 0c=00 \cdot c = 0 for every cc (Multiplication by zero: 0a=00 \cdot a = 0); and for a positive multiplier cc one has x<yx < y if and only if xc<ycxc < yc (claim 4 of Sign rules for products and monotonicity of multiplication).

Refutation

technique · direct
1.1

Since 0<10 < 1, the element 2=1+12 = 1 + 1 is positive, hence nonzero, so 212^{-1} exists; from 212=1>0=022^{-1} \cdot 2 = 1 > 0 = 0 \cdot 2 we get 21>02^{-1} > 0, and from 212=1<2=122^{-1} \cdot 2 = 1 < 2 = 1 \cdot 2 (the inequality 1<21 < 2 holding because 21=1>02 - 1 = 1 > 0) we get 21<12^{-1} < 1; therefore 21S2^{-1} \in S and SS \ne \emptyset.

L3L4algebra
1.2

Every xSx \in S satisfies x<1x < 1 and hence x1x \le 1, so 11 is an upper bound of SS and SS is bounded above.

L3
1.3

Let ε>0\varepsilon > 0. Then 1+ε>01 + \varepsilon > 0 is nonzero, so we may put η:=ε(1+ε)1\eta := \varepsilon (1 + \varepsilon)^{-1}, which satisfies η(1+ε)=ε\eta (1 + \varepsilon) = \varepsilon; multiplying by the positive 1+ε1 + \varepsilon is an equivalence, so η>0\eta > 0 follows from η(1+ε)=ε>0=0(1+ε)\eta(1+\varepsilon) = \varepsilon > 0 = 0 \cdot (1 + \varepsilon), next η<1\eta < 1 follows from η(1+ε)=ε<1+ε=1(1+ε)\eta(1+\varepsilon) = \varepsilon < 1 + \varepsilon = 1 \cdot (1 + \varepsilon), and finally η<ε\eta < \varepsilon follows from η(1+ε)=ε<ε+ε2=ε(1+ε)\eta(1+\varepsilon) = \varepsilon < \varepsilon + \varepsilon^2 = \varepsilon(1 + \varepsilon), the last inequality holding because ε2>0\varepsilon^2 > 0.

L3L4algebra
2.1

Put s:=1ηs := 1 - \eta. From 0<η0 < \eta we get s=1η<1s = 1 - \eta < 1, from η<1\eta < 1 we get 0=11<1η=s0 = 1 - 1 < 1 - \eta = s, so sSs \in S; and from η<ε\eta < \varepsilon we get 1ε<1η=s1 - \varepsilon < 1 - \eta = s. Since ε>0\varepsilon > 0 was arbitrary, for every ε>0\varepsilon > 0 there is an element of SS strictly greater than 1ε1 - \varepsilon.

step 1.3L3algebra
2.2

The number 11 is not an element of SS, because membership in SS requires x<1x < 1 and 1<11 < 1 is impossible by trichotomy.

step 1.1L3
2.3

The set SS has no maximum: if mm were one then mSm \in S, so 0<m<10 < m < 1; putting m:=(m+1)21m' := (m + 1) 2^{-1}, so that m2=m+1m' \cdot 2 = m + 1, the inequality m2=m+m<m+1=m2m \cdot 2 = m + m < m + 1 = m' \cdot 2 gives m<mm < m', the inequality m2=m+1<1+1=12m' \cdot 2 = m + 1 < 1 + 1 = 1 \cdot 2 gives m<1m' < 1, and m2=m+1>0=02m' \cdot 2 = m + 1 > 0 = 0 \cdot 2 gives m>0m' > 0; hence mSm' \in S with m<mm < m', contradicting the requirement mmm' \le m for a maximum.

step 1.1L2L3L4algebra
3.1

The set SS is nonempty and bounded above with upper bound 11, and every 1ε1 - \varepsilon with ε>0\varepsilon > 0 is exceeded by some element of SS, so the epsilon characterisation gives supS=1\sup S = 1.

step 1.1step 1.2step 2.1L1
4.1

Thus SS is a nonempty subset of R\mathbb{R} that is bounded above, its supremum exists and equals 11, and 1S1 \notin S; the claim that the supremum of a set belongs to the set is therefore false, and correspondingly SS has no maximum, so no element of SS could have served as its supremum.

step 3.1step 2.2step 2.3

Remarks

  • The refutation is self-contained: the witness SS, the value of supS\sup S and the failure of membership are all verified here from the complete-ordered-field axioms and the items this page has already proved.
  • What is true is the corrected statement The supremum is attained exactly when a maximum exists: for a set whose supremum exists, supSS\sup S \in S exactly when SS has a maximum, and then supS=maxS\sup S = \max S. Being nonempty and finite is a sufficient condition for having a maximum (Every nonempty finite set of reals has a maximum and a minimum); nonemptiness cannot be dropped there, since \emptyset is finite and has no maximum. Being nonempty and bounded above is not sufficient, which is exactly what the witness above shows.
  • The error is a common one because it is harmless on finite sets, which is where intuition is trained. The whole point of the supremum is to name a boundary that the set approaches without reaching.
False statementConstruction: AI-adaptedVerification: AI-generatedprecheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)Open item page →

FALSE: every subset of R\mathbb{R} has a supremum

Statement

False claim: every subset SRS \subseteq \mathbb{R} has a supremum in R\mathbb{R}.

The least-upper-bound property of R\mathbb{R} (Complete ordered field (least-upper-bound property)) carries two hypotheses, that SS is nonempty and that SS is bounded above, and neither may be dropped. Two independent witnesses are given below, one failing each hypothesis on its own.

Facts & Assumptions

Given: The complete ordered field R\mathbb{R}, the empty subset R\emptyset \subseteq \mathbb{R}, and the set A:={n1R:n1}A := \{\, n \cdot 1_{\mathbb{R}} : n \ge 1 \,\} of canonical naturals of R\mathbb{R}.

[L1]

Least upper bound: ww is a supremum of XX when ww is an upper bound of XX and www \le w' for every upper bound ww' of XX; the least-upper-bound property asserts the existence of such a ww only for XX that is nonempty AND bounded above (Complete ordered field (least-upper-bound property)).

[L2]

Archimedean property: R\mathbb{R} is Archimedean, so for every xRx \in \mathbb{R} there is a natural n1n \ge 1 with x<n1Rx < n \cdot 1_{\mathbb{R}} (Every complete ordered field is Archimedean).

[L3]

Order: 0<10 < 1; trichotomy holds, so aba \le b and b<ab < a cannot both be true; and adding a constant preserves the order (The multiplicative identity is positive, Ordered field, Order is preserved by adding a constant and by adding inequalities).

Refutation

technique · direct
1.1

Every real number ww is an upper bound of \emptyset: the requirement "xwx \le w for all xx \in \emptyset" quantifies over no elements and so holds vacuously. In particular \emptyset is bounded above.

L1
1.2

The set AA is a nonempty subset of R\mathbb{R}, since 11R=1RA1 \cdot 1_{\mathbb{R}} = 1_{\mathbb{R}} \in A.

given
2.1

The empty set has no least upper bound: were ww one, then 0<10 < 1 gives w1<ww - 1 < w, while w1w - 1 is an upper bound of \emptyset, so leastness of ww would force ww1w \le w - 1 and hence, adding 1w1 - w to both sides, 101 \le 0, which contradicts 0<10 < 1 by trichotomy. So the first witness \emptyset has no supremum although it is bounded above.

step 1.1L1L3
2.2

The set AA has no upper bound whatsoever: given any xRx \in \mathbb{R}, the Archimedean property produces n1n \ge 1 with x<n1Rx < n \cdot 1_{\mathbb{R}}, and n1RAn \cdot 1_{\mathbb{R}} \in A, so by trichotomy n1Rxn \cdot 1_{\mathbb{R}} \le x fails and xx does not bound AA above. A supremum is in particular an upper bound, so the second witness AA has no supremum although it is nonempty.

step 1.2L1L2L3
3.1

Each witness refutes the claim on its own, and they refute it for different reasons: \emptyset is bounded above but not nonempty, while AA is nonempty but not bounded above. So the claim is false, and moreover neither hypothesis of the least-upper-bound property can be dropped, since each fails alone on one of these two sets.

step 2.1step 2.2L1

Remarks

  • The two failures are of genuinely different types. For \emptyset the set of upper bounds is all of R\mathbb{R}, which is nonempty but has no least element; for AA the set of upper bounds is empty. Only one witness would therefore leave the impression that a single hypothesis is doing all the work.
  • The failure for AA is exactly the Archimedean property (Every complete ordered field is Archimedean) and so is a theorem about R\mathbb{R}, not an accident of the chosen set: in a non-Archimedean ordered field the canonical naturals can be bounded above (Not every ordered field is Archimedean).
  • Some texts repair the statement by working in the extended reals, where sup=\sup \emptyset = -\infty and supA=+\sup A = +\infty. This library does not adopt that convention; see Conventions: sup\sup \emptyset, unbounded sets, and the extended reals.

Sources