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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- 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.
A convergent sequence in and the integral , computed componentwise
Example
Two parts of the vector-valued toolkit are exercised here, in : componentwise sequence convergence and componentwise integration.
A convergent sequence. For put
with the canonical natural (The canonical natural of a field); the shift by one is there because contains and . Then in .
An integral. Let be . Then is integrable and
The norm inequality is strict here. , while . The exact value of is not computed: it needs machinery this page does not have, and a crude lower bound is enough to separate the two sides of For and integrable when , ; for , is integrable.
Facts & Assumptions
Given: The sequence and the function above; the abbreviation (The -norms for rational , and , The Euclidean inner product on ).
Convergence in for 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 , Sequences of reals: bounded, eventually, frequently, tails, subsequences, The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
The vector-valued integral is componentwise, and is integrable exactly when each is (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, The integral with oriented limits: and , Intervals of : the nine order-convex forms, nondegeneracy, and length).
A continuous function on is integrable, and for any primitive of a continuous (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion, Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive ); polynomial functions are 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) and has derivative for (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Integer powers ).
Monotonicity and linearity of the integral (If on and both are integrable then ; and , Integrable functions on form a set closed under sums and scalar multiples, and , Laws of finite sums and finite products, Finite sums and finite products, by recursion).
Square roots and squaring: is the unique nonnegative with , and for , exactly when (Square roots exist: a unique with ; the positives are , Squaring is monotone on the nonnegatives).
Canonical naturals carry sums to sums and products to products and are strictly increasing and positive (Canonical naturals are positive and strictly increasing, The canonical natural of a field).
Continuity of a vector-valued function is componentwise (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 clause 1, Vector-valued functions , their limits and continuity, with the dictionary to the metric notions).
Verification
The three coordinate sequences of are , and the constant . Given a real , take with ; then for one has , so the first converges to , the second to and the third to .
Each component of is a polynomial function, hence continuous on and integrable there; so is integrable, and is continuous.
The function is a primitive of for , so ; at this gives , and .
For put , so and . Since exactly when , that is exactly when , and both and are nonnegative, monotonicity of squaring gives .
Finally , since cross-multiplying by the positive turns the claim into , which holds because is strictly increasing.
Hence in , the for the vector being obtained from the three coordinate tolerances exactly as in the proof of [L1].
Therefore , the coordinates of the vector integral being the integrals of the coordinates.
The right-hand side of step 1.4 is continuous, hence integrable, and by step 1.3 and linearity .
Its Euclidean norm satisfies , so , since and both numbers are nonnegative.
By monotonicity of the integral, using that is integrable, .
So : the inequality of [L6] holds on this example and is strict.
Remarks
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Why the inequality is strict here. Equality in For and integrable when , ; for , is integrable would require the integrand to point in a fixed direction, and changes direction as runs over . That heuristic is not what is proved above: the proof separates the two sides by an explicit numerical bound, which is the only argument available at this point in the reading order.
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The lower bound is deliberately crude. The inequality used in step 1.4 holds for and is far from sharp; it is chosen because it is polynomial, so that step 2.3 is an application of Every continuous function on an interval has a primitive; two primitives differ by a constant; and for any primitive and nothing more. The exact value of is not a value this page can name.
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The sequence and the integral are independent computations, put in one item because they exercise componentwise arguments on the same space. Neither uses the other.
Depends on
- The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
- Vector-valued functions $f : A \to \mathbb{R}^m$, their limits and continuity, with the dictionary to the metric notions
- 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
- 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
- For $a \le b$ and $f : [a,b] \to \mathbb{R}^m$ integrable when $a<b$, $\bigl\lVert\int_a^b f\bigr\rVert_2 \le \int_a^b \lVert f\rVert_2$; for $a<b$, $\lVert f\rVert_2$ is integrable
- Every continuous function on an interval has a primitive; two primitives differ by a constant; and $\int_a^b f = G(b)-G(a)$ for any primitive $G$
- A continuous function on $[a,b]$ is Riemann integrable, by Heine-Cantor and Riemann's criterion
- If $f \le g$ on $[a,b]$ and both are integrable then $\int_a^b f \le \int_a^b g$; and $m(b-a) \le \int_a^b f \le M(b-a)$
- Integrable functions on $[a,b]$ form a set closed under sums and scalar multiples, and $\int_a^b(\lambda f+\mu g) = \lambda\int_a^b f + \mu\int_a^b g$
- For a natural $n \ge 1$ the function $x \mapsto x^{n}$ is differentiable everywhere with derivative $\iota(n)\,x^{\,n-1}$; for $n = 0$ it is the constant $1$, with derivative $0$; for a natural $n \ge 1$ the function $x \mapsto x^{-n}$ is differentiable at every $x \ne 0$ with derivative $-\iota(n)\,x^{-n-1}$; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
- 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
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- The integral with oriented limits: $\int_a^a f := 0$ and $\int_b^a f := -\int_a^b f$
- 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
- Inverses of positives are positive, and reciprocation reverses order
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- Squaring is monotone on the nonnegatives
- Integer powers $a^m$
- 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
- 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 $0$
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- Laws of finite sums and finite products
- Finite sums and finite products, by recursion
Used by
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Sources
- Vector-valued function (Wikipedia) (standard reference, not scraped)
- Riemann integral (Wikipedia) (standard reference, not scraped)
- J. Lebl, Basic Analysis I, Section 7.3 (standard reference, not scraped)
- APEX Calculus, Section 12.2 (standard reference, not scraped)