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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A continuous injection on that is not monotone, so the interval hypothesis cannot be dropped from the strict-monotonicity theorem
Statement refuted
Refuted claim: every continuous injective function on a subset is strictly monotone (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point, Injection, surjection, bijection, Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of , with the dictionary to monotone sequences).
A continuous injective function on an interval is strictly monotone proves this under the hypothesis that is order-convex (Intervals of : the nine order-convex forms, nondegeneracy, and length). The refuted claim drops that hypothesis, and it is false.
Counterexample
Let and define by
Then is continuous on and injective, and it is not monotone: while . The set is not order-convex, since and .
Facts & Assumptions
Given: The set and the function above.
is continuous at when for every real there is a real with for every (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point, The -neighbourhood and the punctured -neighbourhood of a point of ).
Constants, the identity and their sums and scalar multiples are continuous on every subset of (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, claims 1 and 5).
is increasing when for all in , decreasing when for all in , and monotone when nondecreasing or nonincreasing (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of , with the dictionary to monotone sequences).
is order-convex when and imply (Intervals of : the nine order-convex forms, nondegeneracy, and length).
A continuous injective function on an order-convex subset of is strictly monotone, and its inverse on the image is continuous (A continuous injective function on an interval is strictly monotone, Continuous inverse theorem: a continuous injective on an interval is a bijection onto the order-convex set , and the inverse is continuous and strictly monotone in the same sense as ).
Verification
and : on the map is the identity, and on the map sends to and to and is order-reversing, so its image is .
is continuous on . Let and let be real; take . Every with satisfies , so and .
Let and let be real; take . Every with satisfies , so and .
is not monotone: with rules out nonincreasing, and with rules out nondecreasing.
is not order-convex: , and , but .
is injective: it is injective on , being the identity there; it is injective on , since gives ; and the two images and are disjoint, so no point of one piece has the same value as a point of the other.
So is a continuous injection on that is not monotone, refuting the claim; and the hypothesis that fails is exactly order-convexity of the domain, which is what the theorem assumes.
Remarks
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The inverse is still continuous here, and that is a coincidence of this example. is a bijection onto and its inverse is the same kind of piecewise map, continuous by the same argument. So this example does not refute the continuity of the inverse; what it refutes is monotonicity, and Continuous inverse theorem: a continuous injective on an interval is a bijection onto the order-convex set , and the inverse is continuous and strictly monotone in the same sense as derives continuity of the inverse from monotonicity, so on a domain that is not order-convex that route is unavailable even when the conclusion happens to hold.
-
Two pieces are enough, and the gap does the work. The values on and on never interfere, because the two images are disjoint; injectivity is therefore free and the two pieces may be oriented oppositely. On an order-convex domain the intermediate value theorem forbids exactly that, which is the content of steps 1.2 to 4.1 of A continuous injective function on an interval is strictly monotone.
Depends on
- A continuous injective function on an interval is strictly monotone
- Continuous inverse theorem: a continuous injective $f$ on an interval $I$ is a bijection onto the order-convex set $f[I]$, and the inverse $g : f[I] \to I$ is continuous and strictly monotone in the same sense as $f$
- Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of $\mathbb{R}$, with the dictionary to monotone sequences
- Continuity of $f : A \to \mathbb{R}$ at a point of $A$ and on $A$: the $\varepsilon$-$\delta$ condition, its agreement with $\lim_{x \to c} f(x) = f(c)$ at a limit point, and continuity at an isolated point
- Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- Injection, surjection, bijection
- The $\varepsilon$-neighbourhood and the punctured $\varepsilon$-neighbourhood of a point of $\mathbb{R}$
Used by
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Sources
- Monotonic function (Wikipedia) (standard reference, not scraped)
- Chapter 4: Continuous Functions (Trinity College Dublin) (standard reference, not scraped)