Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28
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.

One-sided limits of a monotone function always exist: for ff nondecreasing on an interval II and cIc \in I, limxcf(x)=sup{f(x):xI, x<c}\lim_{x \to c^{-}} f(x) = \sup\{f(x) : x \in I,\ x < c\} whenever II has points below cc, limxc+f(x)=inf{f(x):xI, x>c}\lim_{x \to c^{+}} f(x) = \inf\{f(x) : x \in I,\ x > c\} whenever it has points above cc, and these satisfy limxcf(x)f(c)limxc+f(x)\lim_{x \to c^{-}} f(x) \le f(c) \le \lim_{x \to c^{+}} f(x)

Statement

Let IRI \subseteq \mathbb{R} be order-convex (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), let f:IRf : I \to \mathbb{R} be nondecreasing (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences) and let cIc \in I. Write

I:=I(,c),I+:=I(c,)I^{-} := I \cap (-\infty, c), \qquad I^{+} := I \cap (c, \infty)

(The left and right limits of ff at cc, as limits of the restrictions of ff to A(,c)A \cap (-\infty, c) and A(c,)A \cap (c, \infty)).

  1. Left. If II^{-} \ne \varnothing then cc is a limit point of II^{-} (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}), the set {f(x):xI}\{\, f(x) : x \in I^{-} \,\} is nonempty and bounded above by f(c)f(c), and limxcf(x)  =  sup{f(x):xI, x<c}    f(c).\lim_{x \to c^{-}} f(x) \;=\; \sup\{\, f(x) : x \in I,\ x < c \,\} \;\le\; f(c) .
  2. Right. If I+I^{+} \ne \varnothing then cc is a limit point of I+I^{+}, the set {f(x):xI+}\{\, f(x) : x \in I^{+} \,\} is nonempty and bounded below by f(c)f(c), and limxc+f(x)  =  inf{f(x):xI, x>c}    f(c).\lim_{x \to c^{+}} f(x) \;=\; \inf\{\, f(x) : x \in I,\ x > c \,\} \;\ge\; f(c) .
  3. Together. If both II^{-} and I+I^{+} are nonempty then limxcf(x)    f(c)    limxc+f(x).\lim_{x \to c^{-}} f(x) \;\le\; f(c) \;\le\; \lim_{x \to c^{+}} f(x) .

In particular a nondecreasing function on an interval has, at every point of that interval, every one-sided limit that is well posed at all: no hypothesis of continuity, of boundedness, or of any other kind is needed.

The nonincreasing case is not a separate theorem. If g:IRg : I \to \mathbb{R} is nonincreasing then g-g is nondecreasing (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences), and a real LL is the left limit of g-g at cc exactly when L-L is the left limit of gg at cc, since (g)(x)L=g(x)(L)|(-g)(x) - L| = |g(x) - (-L)|; so claims 1 to 3 hold for gg with the suprema and infima exchanged and the inequalities reversed.

Order-convexity of II is what makes the limits well posed. Without it the symbol limxcf(x)\lim_{x \to c^{-}} f(x) need not be defined even though II^{-} is nonempty: for I={0}[1,2]I = \{0\} \cup [1,2] and c=1c = 1 the set I={0}I^{-} = \{0\} is nonempty but 11 is not a limit point of it, and The left and right limits of ff at cc, as limits of the restrictions of ff to A(,c)A \cap (-\infty, c) and A(c,)A \cap (c, \infty) leaves the symbol undefined there for exactly that reason.

Facts & Assumptions

Given: An order-convex IRI \subseteq \mathbb{R}, a nondecreasing f:IRf : I \to \mathbb{R}, and cIc \in I.

[A2]

II is order-convex: x,yIx, y \in I and xzyx \le z \le y imply zIz \in I (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length).

[L1]

Every nonempty subset of R\mathbb{R} that is bounded above has a least upper bound, and every nonempty subset bounded below has a greatest lower bound (Complete ordered field (least-upper-bound property), Lower bound, bounded below, bounded set, Greatest lower bound (infimum), Every nonempty set bounded below has an infimum).

[L2]

For SS nonempty and bounded above with upper bound uu: u=supSu = \sup S if and only if for every real ε>0\varepsilon > 0 there is sSs \in S with uε<su - \varepsilon < s (Epsilon characterisation of the supremum). Dually, for SS nonempty and bounded below with lower bound \ell: =infS\ell = \inf S if and only if for every real ε>0\varepsilon > 0 there is sSs \in S with s<+εs < \ell + \varepsilon (Epsilon characterisation of the infimum).

[L3]

limxcf(x)=L\lim_{x \to c^{-}} f(x) = L means: cc is a limit point of II^{-}, and for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 with f(x)L<ε|f(x) - L| < \varepsilon for every xIx \in I with cδ<x<cc - \delta < x < c; dually on the right (The left and right limits of ff at cc, as limits of the restrictions of ff to A(,c)A \cap (-\infty, c) and A(c,)A \cap (c, \infty), The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA, The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}).

[L4]

Proof

technique · direct
1.1

Suppose II^{-} \ne \varnothing and fix aIa \in I with a<ca < c; then [a,c]I[a,c] \subseteq I, since any zz with azca \le z \le c lies in II.

A2
1.2

Claim 2 is the same argument on the other side, and is written out here rather than deduced. Suppose I+I^{+} \ne \varnothing and fix bIb \in I with c<bc < b; then [c,b]I[c,b] \subseteq I, and for real δ>0\delta > 0 the point min{b,c+δ/2}\min\{b, c + \delta/2\} lies in I+I^{+} within δ\delta of cc, so cc is a limit point of I+I^{+}.

A2L4
2.1

Every real δ>0\delta > 0 gives a point of II^{-} within δ\delta of cc and different from cc: put z:=max{a,cδ/2}z := \max\{a, c - \delta/2\}, so that az<ca \le z < c and czδ/2<δc - z \le \delta/2 < \delta, and zIz \in I by step 1.1. Hence cc is a limit point of II^{-} and the symbol on the left of claim 1 is well posed.

step 1.1L4
2.2

The set S:={f(x):xI, x<c}S^{-} := \{\, f(x) : x \in I,\ x < c \,\} is nonempty, since f(a)Sf(a) \in S^{-}, and f(c)f(c) is an upper bound of it, since x<cx < c gives f(x)f(c)f(x) \le f(c). So L:=supSL := \sup S^{-} exists and Lf(c)L \le f(c), the latter because f(c)f(c) is an upper bound and LL is the least one.

step 1.1A1L1
2.3

The set S+:={f(x):xI, x>c}S^{+} := \{\, f(x) : x \in I,\ x > c \,\} is nonempty and bounded below by f(c)f(c), so M:=infS+M := \inf S^{+} exists and Mf(c)M \ge f(c).

step 1.2A1L1
3.1

Let ε>0\varepsilon > 0 be real. By the epsilon characterisation of the supremum there is x0Ix_0 \in I with x0<cx_0 < c and Lε<f(x0)L - \varepsilon < f(x_0).

step 2.2L2
3.2

Given real ε>0\varepsilon > 0, the epsilon characterisation of the infimum gives x1Ix_1 \in I with x1>cx_1 > c and f(x1)<M+εf(x_1) < M + \varepsilon; put δ:=x1c>0\delta := x_1 - c > 0. For xIx \in I with c<x<c+δc < x < c + \delta we have c<x<x1c < x < x_1, so Mf(x)f(x1)<M+εM \le f(x) \le f(x_1) < M + \varepsilon and hence f(x)M<ε|f(x) - M| < \varepsilon.

step 2.3A1L2
4.1

Put δ:=cx0>0\delta := c - x_0 > 0 and let xIx \in I satisfy cδ<x<cc - \delta < x < c. Then x0<x<cx_0 < x < c, so f(x0)f(x)f(x_0) \le f(x) by monotonicity and f(x)Lf(x) \le L because f(x)Sf(x) \in S^{-} and LL is an upper bound of SS^{-}; hence Lε<f(x0)f(x)LL - \varepsilon < f(x_0) \le f(x) \le L and therefore f(x)L<ε|f(x) - L| < \varepsilon.

step 2.2step 3.1A1
4.2

Claim 2 is proved: limxc+f(x)=M=infS+f(c)\lim_{x \to c^{+}} f(x) = M = \inf S^{+} \ge f(c).

step 1.2step 2.3step 3.2L3L4
5.1

Claim 1 is proved: ε>0\varepsilon > 0 was arbitrary in step 3.1, so limxcf(x)=L=supSf(c)\lim_{x \to c^{-}} f(x) = L = \sup S^{-} \le f(c), and this value is the only one the symbol can denote.

step 2.1step 2.2step 4.1L3L4
6.1

Claim 3 follows by combining the two inequalities of claims 1 and 2, both of which are then available.

step 5.1step 4.2

Remarks

Depends on

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