Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)verified 2026-07-26 (claude-opus-5)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced — the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted — a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated — a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

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.

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 12 results over 5 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.

Sources