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.
, extended by , is continuous in each variable separately and not continuous at the origin
Statement refuted
Refuted claim: a function that is continuous in each variable separately — that is, for which and are continuous on for every fixed and (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point) — is continuous as a map (Vector-valued functions , their limits and continuity, with the dictionary to the metric notions, Continuity of a map between metric spaces, at a point and globally, in the - form, as the set of functions , and , , are metrics on it).
The witness. Define by
writing for an element of , the set of functions ( as the set of functions , and , , are metrics on it). The quotient is defined for because there (The Euclidean inner product on , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
Then is continuous in each variable separately at every point, and is not continuous at .
This is the first function on whose continuity this library studies, and its domain is with the published metric , not an informal plane.
Facts & Assumptions
Given: The function above; the sequence in (Sequences of reals: bounded, eventually, frequently, tails, subsequences, The canonical natural of a field).
The refuted claim, at this : separate continuity everywhere implies continuity as a map .
Continuity of a real-valued function on a metric space, and the sequential characterisation: is continuous at if and only if whenever (Vector-valued functions , their limits and continuity, with the dictionary to the metric notions, Continuity of a map between metric spaces, at a point and globally, in the - form, For a map of metric spaces the following agree: - continuity everywhere, preimages of open sets are open, preimages of closed sets are closed, sequential continuity, and clauses (a) and (d), Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded).
Convergence in is componentwise (For a sequence in converges iff each coordinate sequence converges, is Cauchy iff each coordinate sequence is Cauchy, and is complete in every norm clause 1, Convergence of a sequence in a metric space: iff in , Each is a norm on , and the induced metrics are exactly , and of the published metric-spaces page, The -norms for rational , and , The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
Algebra of continuous real functions on a subset of : sums, products and quotients with nonvanishing denominator of continuous functions are continuous, and every polynomial function is continuous (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, Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point, Dictionary: for with the metric , continuity and uniform continuity of agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of is compact in the open-cover sense of exactly when it is a compact metric subspace).
The canonical natural: for every , and for every real there is with (The canonical natural of a field, Canonical naturals are positive and strictly increasing, For every in a complete ordered field there is a natural with , Inverses of positives are positive, and reciprocation reverses order).
Counterexample
For a fixed real the function is a quotient of two polynomial functions of whose denominator never vanishes, since ; so it is continuous on .
For the function is constantly : at its value is , and at it is . A constant function is continuous.
Each coordinate sequence of is , which converges to : given a rational , an index with gives for every . Hence in .
By the symmetry , the same two arguments give continuity of for every fixed real .
For every the point is nonzero, and with its value is .
So is continuous in each variable separately at every point of .
So the constant sequence converges to , while and because .
By the sequential characterisation of continuity, is not continuous at : the sequence has .
Steps 3.1 and 4.1 together refute [A1]: is separately continuous everywhere and is not continuous at the origin.
Remarks
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What the sequence sees. Along the line the value of is constantly off the origin, and points of that line come arbitrarily close to the origin; along either axis the value is constantly . So the two partial functions through the origin cannot detect what a general approach does, and that is the whole phenomenon.
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Separate continuity is strictly weaker, and no repair is proposed here. What the refuted claim would need is a hypothesis controlling the two variables together — joint continuity is exactly such a hypothesis, and it is what Vector-valued functions , their limits and continuity, with the dictionary to the metric notions defines. Nothing here claims that any weaker hypothesis suffices.
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Nothing is claimed about away from the origin. The refutation needs only the behaviour of at together with the two partial functions, and that is all that is proved. In particular this item does not assert that is continuous at the points , true though that is; establishing it would need an algebra of continuous real-valued functions on a metric domain, which A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions provides for sums, scalar multiples and inner products but not for quotients.
Depends on
- Vector-valued functions $f : A \to \mathbb{R}^m$, their limits and continuity, with the dictionary to the metric notions
- A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
- Continuity of a map between metric spaces, at a point and globally, in the $\varepsilon$-$\delta$ form
- For a map of metric spaces the following agree: $\varepsilon$-$\delta$ continuity everywhere, preimages of open sets are open, preimages of closed sets are closed, sequential continuity, and $f(\overline{A}) \subseteq \overline{f(A)}$
- 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
- $\mathbb{R}^n$ as the set of functions $n \to \mathbb{R}$, and $d_1$, $d_2$, $d_\infty$ are metrics on it
- Each $\lVert\cdot\rVert_p$ is a norm on $\mathbb{R}^n$, and the induced metrics are exactly $d_1$, $d_2$ and $d_\infty$ of the published metric-spaces page
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- Convergence of a sequence in a metric space: $x_k \to x$ iff $d(x_k, x) \to 0$ in $\mathbb{R}$
- Sequences of reals: bounded, eventually, frequently, tails, subsequences
- For every $\varepsilon > 0$ in a complete ordered field there is a natural $n \ge 1$ with $1/n < \varepsilon$
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- Canonical naturals are positive and strictly increasing
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- For $n \ge 1$ a sequence in $\mathbb{R}^n$ converges iff each coordinate sequence converges, is Cauchy iff each coordinate sequence is Cauchy, and $\mathbb{R}^n$ is complete in every norm
- The standard list $e : n \to F^{n}$ with $e_i(i) = 1_F$ and $e_i(j) = 0_F$ for $j \ne i$ is an ordered basis of $F^{n}$; hence $\dim_F F^{n} = n$, and $F^{0}$ is the zero space with basis $\varnothing$ and dimension $0$
- 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
- Dictionary: for $A \subseteq \mathbb{R}$ with the metric $d(x,y) = |x-y|$, continuity and uniform continuity of $f : A \to \mathbb{R}$ agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of $\mathbb{R}$ is compact in the open-cover sense of $\mathbb{R}$ exactly when it is a compact metric subspace
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- Integer powers $a^m$
- Inverses of positives are positive, and reciprocation reverses order
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
- The absolute value makes $\mathbb{R}$ a metric space: $d(x,y) = |x-y|$ is a metric, its open balls are the intervals $(x-r, x+r)$, and it is unbounded
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 218 results over 39 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
- Continuous function (Wikipedia) (standard reference, not scraped)
- Multivariable calculus (Wikipedia) (standard reference, not scraped)
- Harvard Math 21a, separately continuous but not jointly continuous example (standard reference, not scraped)