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.
For , , and for the series diverges
Statement
Let and let be the integer power (Integer powers ), so that for every , including .
- If then the series converges (Series, partial sums, convergence and the sum, divergence, and the tail series) and
- If then diverges.
The series starts at and its first term is ; in particular , while the series starting at sums to . Which starting index is meant has to be said, and it is said here.
Facts & Assumptions
Given: A real number , the integer powers (Integer powers ), and the partial sums of (Series, partial sums, convergence and the sum, divergence, and the tail series, Finite sums and finite products, by recursion).
Factorisation of a difference of powers: for and natural , (Factorisation of , and the resulting Lipschitz estimate).
For the sequence is null, that is (For the sequence is null, and for the sequence diverges to ).
Algebra of limits: sums, differences and quotients of convergent sequences converge to the corresponding combination, the quotient rule requiring a nonzero limit and nonzero denominators (Algebra of limits: sums, scalar multiples, products and quotients, Limits and Cauchy sequences of reals).
Absolute value: , , and exactly when ; also , since (Basic properties of the absolute value).
Powers and order: for every ; if and then ; and for every (Monotonicity of and of , Integer powers ).
The principle of induction (The principle of mathematical induction).
If a series converges then its terms tend to (If a series converges then its terms tend to ).
Notation of Finite sums and finite products, by recursion: is , and the empty sum is .
Proof
Assume .
Assume instead .
For every natural , applying [L1] with and gives , using and the notation of [L8].
At the identity also holds, both sides being because and is the empty sum.
In the case we have , since and ; hence .
In the case , an induction gives for every : at both sides are , and if then .
In the case we get for every : at this reads , and for it is the comparison .
In the case , dividing by gives for every .
In the case , combining the two previous steps gives for every .
In the case the sequence is null, so and therefore , the denominator being the nonzero constant ; hence converges with sum , which is claim 1.
In the case the sequence does not converge to , since the rational tolerance admits no index with for all ; so by the term test diverges, which is claim 2.
The two cases and exhaust the possibilities, since the order on is total, so claims 1 and 2 together cover every real .
Remarks
-
The divergence half needs no separate treatment of and . Both are covered by , and the single reason is the same in every case: the terms have absolute value at least , so they cannot tend to . For the partial sums are and run to ; for they oscillate between and . The theorem says only that neither converges, which is all that "diverges" means here (Series, partial sums, convergence and the sum, divergence, and the tail series).
-
Why the identity is proved at separately. Factorisation of , and the resulting Lipschitz estimate requires , since its right-hand side is a sum over of a term involving , and is not a natural number at . The identity is still true at , but by inspection of two empty objects rather than by that lemma, and step 1.4 says so rather than letting the reader assume the citation covers it.
Depends on
- Series, partial sums, convergence and the sum, divergence, and the tail series
- Factorisation of $b^n - a^n$, and the resulting Lipschitz estimate
- For $|r| < 1$ the sequence $r^k$ is null, and for $|r| > 1$ the sequence $|r|^k$ diverges to $+\infty$
- If a series converges then its terms tend to $0$
- Integer powers $a^m$
- Algebra of limits: sums, scalar multiples, products and quotients
- Finite sums and finite products, by recursion
- Basic properties of the absolute value
- Monotonicity of $x \mapsto x^n$ and of $n \mapsto a^n$
- The principle of mathematical induction
- Limits and Cauchy sequences of reals
Used by
- 1-2+3-4+⋯ is Abel summable to 1/4 but is not Cesaro summable Counterexample
- 1/4 lies in the Cantor set and is the endpoint of no removed interval, so the endpoints do not exhaust it Counterexample
- A boundary line need not have uniform convergence behavior Counterexample
- A null set can fail to be the discontinuity set of any function Counterexample
- Analytic heat data need not give a time-analytic germ Counterexample
- Grandi's series is Abel summable to 1/2 but its partial sums do not converge Counterexample
- ℝ is the union of a meager set and a set of measure zero, so smallness of category and smallness of measure are independent notions Counterexample
- Taking out an unbounded factor needs integrability Counterexample
- The geometric series converges pointwise but not uniformly on (-1,1) Counterexample
- Sets defined by permitted binary digit positions Definition
- The Cantor function on [0,1], defined on the Cantor set through ternary digits and extended constantly across each removed interval Definition
- The Smith-Volterra-Cantor set: the same construction removing, at stage n ≥ 1, an open middle interval of length 4⁻ⁿ from each of the 2ⁿ⁻¹ remaining intervals Definition
- Uniform-on-compacts metric on continuous path space Definition
- 0.999… = 1 and 0.4999… = 0.5: the second expansion of a number is exactly an eventually-all-(b-1) digit sequence Example
- A bounded nondecreasing f : ℝ → ℝ whose set of discontinuities is exactly ℚ, obtained from the prescribed-jump construction applied to one fixed enumeration of the rationals Example
- A positive continuous integrand can have finite integral while unbounded on every tail Example
- A positive-measure compact set can miss part of every interval Example
- A rational function with nonvanishing denominator is locally represented by geometric-series expansions Example
- A Sierpinski gasket computed by hand Example
- An open dense set of measure less than 1 is the monotone L¹-limit of Riemann integrable indicators, but its indicator is not Riemann integrable Example
- Borel-Cantelli for the shrinking intervals (0,2⁻ᵏ) under a dyadic atomic measure Example
- Condensation reduces ∑ 1/kᵖ to a geometric series with ratio 2¹⁻ᵖ Example
- Every rearrangement of ∑_k ≥ 0 (-1/2)ᵏ converges to 2/3 Example
- For |r| < 1 the Cauchy product of ∑ rᵏ with itself is ∑ (k+1) rᵏ, with sum 1/(1-r)² Example
- For every positive ε there is a dense open subset of (0,1) of Lebesgue measure below ε Example
- Geometric sums computed: ∑_k ≥ 1 2⁻ᵏ = 1 and ∑_k ≥ 0 (-1/3)ᵏ = 3/4 Example
- ℚ is covered by open intervals of total length ε, for every ε > 0 Example
- The Cantor function takes the value 1/2 on all of [1/3, 2/3], and its values at 1/9, 1/4 and 7/9 Example
- The Cantor set is homeomorphic to {0,1}^ℕ with the product of discrete topologies, the ternary digits being the coordinates Example
- The complement of the Cantor set in [0,1] has Lebesgue measure one, computed from the removed intervals Example
- The complex geometric power series has radius 1 and sums to 1/(1-z) for |z|<1 Example
- The exponential tail function is integrable by monotone truncation and geometric comparison Example
- The function x^-1/2 on (0,1] is unbounded and integrable Example
- The geometric series has only one singular point on its unit circle Example
- The geometric series represents 1/(1-x) for |x|<1 and re-expands explicitly about every c with |c|<1 Example
- The graph of a continuous function ℝ→ℝ is Lebesgue null in ℝ² Example
- The Hilbert cube [0,1]^ℕ with the product topology is metrizable, by d(x,y) = ∑ₖ |xₖ - yₖ| / 2^ k+1 Example
- The intervals removed from the Smith-Volterra-Cantor set have total length 1/2, so the set cannot be covered by intervals of total length less than 1/2 Example
- The power series of z₀/(1-z₁) and the shape of its domain of convergence Example
- The Smith-Volterra-Cantor set has Lebesgue measure exactly 1/2 Example
…and 64 more results.
Dependency tree · two levels
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Sources
- Geometric series (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3 (standard reference, not scraped)
- John K. Hunter, An Introduction to Real Analysis (standard reference, not scraped)