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TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28
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Continuous inverse theorem: a continuous injective f on an interval I is a bijection onto the order-convex set f[I], and the inverse g:f[I]→I is continuous and strictly monotone in the same sense as f

Statement

Let I⊆R be order-convex (Intervals of R: the nine order-convex forms, nondegeneracy, and length) and let f:I→R be continuous on I (Continuity of f:A→R at a point of A and on A: the ε-δ condition, its agreement with lim⁡x→cf(x)=f(c) at a limit point, and continuity at an isolated point) and injective (Injection, surjection, bijection). Then:

  1. f is strictly monotone (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R, with the dictionary to monotone sequences);
  2. f[I] is order-convex;
  3. the map f:I→f[I] is a bijection, so there is exactly one g:f[I]→I with g(f(x))=x for every x∈I and f(g(u))=u for every u∈f[I];
  4. g is strictly monotone in the same sense as f: increasing if f is increasing, decreasing if f is decreasing;
  5. g is continuous on f[I].

"Interval" means "order-convex" here, as throughout this library (A subset of R is connected if and only if it is order-convex, that is, an interval is what licenses the word and Intervals of R: the nine order-convex forms, nondegeneracy, and length records that the classification of order-convex sets into the nine written forms is not proved here). No compactness and no boundedness is assumed: I may be open, half-open, unbounded, or a single point.

Facts & Assumptions

Given: An order-convex I⊆R and a continuous injective f:I→R.

[L1]

A continuous injective function on an order-convex subset of R is strictly monotone (A continuous injective function on an interval is strictly monotone).

[L2]
[L3]

If J⊆R is order-convex, h:J→R satisfies h(u)≤h(v) whenever u,v∈J and u≤v, and h[J] is order-convex, then h is continuous on J (A function on an interval satisfying f(x)≤f(y) whenever x≤y, whose image is order-convex, is continuous).

[L5]

f is injective, so f:I→f[I] is a bijection and has a unique two-sided inverse (Injection, surjection, bijection).

[L6]

f increasing means f(x)<f(y) whenever x<y in I; −f is decreasing exactly when f is increasing, and −S is order-convex exactly when S is (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R, with the dictionary to monotone sequences, Intervals of R: the nine order-convex forms, nondegeneracy, and length).

Proof

technique · direct
1.1

Claim 1 is immediate: f is continuous and injective on the order-convex set I, hence strictly monotone.

L1
1.2

Claim 2 is immediate: I is order-convex and f is continuous on I, so f[I] is order-convex.

L2
1.3

Claim 3 is immediate: f is injective and f:I→f[I] is onto its image by definition of the image, so it is a bijection and has a unique two-sided inverse g:f[I]→I.

L5
2.1

Suppose f is increasing, and let u,v∈f[I] with u<v. Write u=f(p) and v=f(q) with p=g(u) and q=g(v) in I. If q≤p then f(q)≤f(p), since q=p gives equality and q<p gives f(q)<f(p); that is v≤u, contradicting u<v. Hence p<q, that is g(u)<g(v), and g is increasing.

step 1.1step 1.3L6
2.2

Suppose instead that f is decreasing, and put F:=−f, that is F(x):=−f(x). Then F is continuous on I, it is injective because f is, and it is increasing.

step 1.1L4L6
3.1

Still with f increasing: g satisfies g(u)≤g(v) whenever u≤v in f[I], by step 2.1 when u<v and trivially when u=v; the domain f[I] is order-convex by step 1.2; and the image g[f[I]] is I, which is order-convex, because g is onto I. So the monotone-with-interval-image criterion applies and g is continuous on f[I].

step 1.2step 1.3step 2.1L3
4.1

By steps 2.1 and 3.1 applied to F, the inverse G:F[I]→I of F is increasing and continuous, and F[I]=−f[I] is order-convex.

step 2.1step 3.1step 2.2
5.1

For u∈f[I] one has −u∈F[I] and G(−u)=g(u), since F(g(u))=−f(g(u))=−u and G is the inverse of F. So g is the composite of the continuous map u↦−u from f[I] into F[I] with the continuous G, hence continuous on f[I].

step 1.3step 4.1L4
6.1

In that case g is decreasing: for u<v in f[I] one has −v<−u in F[I], so G(−v)<G(−u) because G is increasing, that is g(v)<g(u).

step 4.1step 5.1
7.1

Claims 4 and 5 are now proved in both cases: for f increasing by steps 2.1 and 3.1, and for f decreasing by steps 5.1 and 6.1; and by step 1.1 there is no other case.

step 1.1step 2.1step 3.1step 5.1step 6.1∎

Remarks

  • No epsilon-delta argument appears anywhere. Continuity of the inverse is obtained entirely from A function on an interval satisfying f(x)≤f(y) whenever x≤y, whose image is order-convex, is continuous, whose hypotheses are exactly the two facts the theorem has already established: the inverse is monotone, and its image is the order-convex set I. The decreasing case is reduced to the increasing one by composing with u↦−u rather than repeating the argument.

  • What the theorem is used for. It is the tool that turns a strictly monotone continuous bijection into a continuous one in the other direction, and the standard elementary functions are built with it: the companion page derives the continuity of x↦x1/n this way.

Depends on

Used by

Dependency tree · two levels

38 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources