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.
A strictly increasing index map satisfies
Statement
Let be a function, written , and recall that is strictly increasing when whenever (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Order on the natural numbers).
- Consecutive comparisons suffice. If for every , then is strictly increasing.
- Growth. If is strictly increasing then for every .
Claim 1 is what one checks in practice when exhibiting a subsequence; claim 2 is what every later subsequence argument uses.
Facts & Assumptions
Given: A function , written , with the successor and the order of Order on the natural numbers; claim 1 is proved under the standing assumption that for every , and claim 2 under the standing assumption that is strictly increasing (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
denotes the statement: for every .
denotes the statement: .
Order and successor on : means for some , so for every because ; and with , so (Order on the natural numbers, Addition of natural numbers, Left identity for addition, No natural number equals its own successor).
Discreteness: if and only if (Discreteness: is the immediate successor).
Induction principle: if holds and implies for every , then holds for every (The principle of mathematical induction).
The order on is reflexive, antisymmetric, transitive and total, and satisfies trichotomy ( is a linear order on , Trichotomy of the order on ).
Proof
Base case for claim 1: holds vacuously, since no satisfies ; indeed always holds, and together with would contradict antisymmetry.
Inductive hypothesis for claim 1: fix and assume , that is for every .
Base case for claim 2: states , which holds because for every natural .
Inductive hypothesis for claim 2: fix and assume , that is .
Inductive step for claim 1: let . By trichotomy either , or , or . The case is impossible, since it gives by [L2], which together with contradicts antisymmetry. If then by the standing assumption. If then by step 1.2 and by the standing assumption, so by transitivity. In every admissible case , so holds.
Inductive step for claim 2: by [L1], so strict increase gives ; combined with from step 1.4 this yields , hence by [L2], which is .
Both inductions are complete, so by the induction principle holds for every , which is claim 1, and holds for every , which is claim 2.
Remarks
-
Claim 2 is sharp: the identity map is strictly increasing with throughout, so no better bound than holds for all strictly increasing index maps.
-
Claim 2 is exactly what makes a subsequence inherit a limit (Subsequences inherit the limit): a threshold that works for the original sequence works unchanged for the subsequence, because whenever .
-
Nothing here is about ; both claims are about alone. Both are proved by induction ([L3]), and that is the method, not an order property. Claim 2 needs three order facts on top of the induction: that is least, which is what makes its base case true ([L1], step 1.3); discreteness (Discreteness: is the immediate successor, [L2]), which upgrades to (step 2.2); and transitivity in its mixed form, which composes with into ([L4], step 2.2). Claim 1 additionally uses trichotomy and antisymmetry ([L4]).
-
Of those three, neither the least element nor discreteness may be dropped. Discreteness alone is not enough: is discrete in the same sense, iff , yet is strictly increasing on with everywhere. What lacks is a least element to anchor the induction. A least element alone is not enough either, which is what fails over : on the nonnegative rationals is strictly increasing and fixes the least element , but at every positive rational.
Depends on
- Sequences of reals: bounded, eventually, frequently, tails, subsequences
- The principle of mathematical induction
- Discreteness: $\sigma(n)$ is the immediate successor
- Order on the natural numbers
- Addition of natural numbers
- Left identity for addition
- No natural number equals its own successor
- $\le$ is a linear order on $\mathbb{N}$
- Trichotomy of the order on $\mathbb{N}$
Used by
- For n ≥ 1 every bounded sequence in ℝⁿ has a convergent subsequence Corollary
- A sequence with limsup = +∞: the greatest subsequential limit exists only in overlineℝ Counterexample
- xₖ = 1 + (-1)ᵏ, yₖ = 1 + (-1)ᵏ⁺¹ give limsup(xₖ yₖ) = 0 < 4 Counterexample
- Cauchy sequence in a metric space Definition
- Countably compact, Lindel"of, sequentially compact, limit point compact and σ-compact spaces, and relatively compact subsets Definition
- Countably compact, sequentially compact and limit point compact metric spaces Definition
- Subsequential limit of a real sequence, and the subsequential limit set Definition
- (-1)ᵏ has liminf = -1 and limsup = 1, so it does not converge Example
- A positive sequence making all three inequalities of the ratio-to-root chain strict Example
- The block sequence 1/1; 1/2, 2/2; 1/3, 2/3, 3/3; … has subsequential limit set exactly [0,1] Example
- FALSE: a sequence in ℝⁿ whose coordinate sequences are each bounded converges False statement
- FALSE: every bounded sequence converges False statement
- FALSE: every compact space is sequentially compact False statement
- FALSE: every subnet of a sequence is a subsequence False statement
- FALSE: in every normed space a closed bounded set is compact False statement
- FALSE: limsup |aₖ₊₁/aₖ| ≥ 1 implies the series diverges False statement
- FALSE: limsup aₖ^1/k = limsup aₖ₊₁/aₖ for every positive sequence False statement
- FALSE: limsup(xₖ + yₖ) = limsup xₖ + limsup yₖ False statement
- A Cauchy sequence in a metric space with a convergent subsequence converges to that subsequence’s limit Lemma
- A Cauchy sequence with a convergent subsequence converges, to that subsequence’s limit Lemma
- Every real sequence has a monotone subsequence (the peak / rising-sun lemma) Lemma
- Nested intervals plus the Archimedean property imply Bolzano-Weierstrass, by repeated bisection Lemma
- Sequence basics in an arbitrary ordered field: limits are unique, limits preserve non-strict inequalities, convergent sequences are Cauchy, Cauchy sequences are bounded, and a Cauchy sequence with a convergent subsequence converges Lemma
- Subsequences inherit the limit Lemma
- The even and odd index maps and the alternating sequence: strictly increasing e, o with ℕ their disjoint union, and the unique (sₖ) with s₀ = 1, s_σ(k) = -sₖ, which satisfies |sₖ| = 1, s ∘ e ≡ 1 and s ∘ o ≡ -1 Lemma
- Conventions for sequences: indexing, eventually, lim, and rational ε Remark
- A sequentially compact metric space is totally bounded, proved from the axiom of dependent choice Theorem
- A subset of ℝ is compact iff it is sequentially compact Theorem
- A summability matrix with only finitely many nonzero entries per row is regular iff each column tends to 0, the row sums tend to 1, and the row absolute sums are uniformly bounded Theorem
- Compact implies countably compact, Lindel"of and limit point compact; countably compact together with Lindel"of implies compact; and, at the cost of countable or dependent choice, sequentially compact implies countably compact, countably compact implies limit point compact, and the converse holds when every singleton is closed Theorem
- Every successor ordinal is compact in its order topology and every limit ordinal is not; and, assuming countable choice, ω₁ is countably compact and sequentially compact while ω₁ + 1 is compact Theorem
- Heine-Cantor in ℝ: a continuous real function on a compact subset of ℝ is uniformly continuous, proved ℝ-natively from sequential compactness Theorem
- If each yⱼ is a subsequential limit of (xₖ) and yⱼ → y ∈ ℝ, then y is a subsequential limit of (xₖ) Theorem
- In any metric space compactness implies countable compactness and limit point compactness, and each of countable compactness and limit point compactness implies sequential compactness; every implication here is proved without a choice principle Theorem
- The limit superior is itself a subsequential limit in overlineℝ and is the greatest one Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 42 results over 14 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
- CMU 21-269 notes, Compactness — subsequences (standard reference, not scraped)
- University of Wisconsin Math 521, Homework 5 (standard reference, not scraped)
- Subsequence (Wikipedia) (standard reference, not scraped)
- Mathematical induction (Wikipedia) (standard reference, not scraped)
- T. Tao, Analysis I, 3rd ed., §6.6 (standard reference, not scraped)