How statement and proof provenance work
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Steinitz's confinement bound realised on an explicit list of six unit vectors in summing to zero
Example
Take and , and let , so that has . Define by
with and (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ). Every is and , so Steinitz's polygonal confinement theorem: finitely many vectors of norm at most summing to can be ordered so that every partial sum has norm at most applies and asserts an ordering all of whose partial sums have norm at most .
A good ordering. The identity ordering works: the partial sums are
with norms , , , , , , , each at most .
A bad ordering, which exceeds the bound. Reordering as gives the third partial sum , whose norm squared is . So that ordering has a partial sum of norm strictly greater than , and the theorem is saying something.
One step of the descending construction. With the identity of and for , the pair is admissible at in the sense of the proof of Steinitz's polygonal confinement theorem: finitely many vectors of norm at most summing to can be ordered so that every partial sum has norm at most . At the next stage the feasible set is
and lies in it with exactly two coordinates strictly between and , which is the least possible. Its support is , of size , so the support bound holds with room; dropping the coordinate gives the admissible pair at with and .
Facts & Assumptions
Given: The list above, with and ; the partial sums of the identity ordering; the vector .
Square roots: is the unique nonnegative with ; ; and for , exactly when (Square roots exist: a unique with ; the positives are , Squaring is monotone on the nonnegatives, Integer powers ).
Canonical naturals are positive and strictly increasing and carry sums to sums and products to products (The canonical natural of a field, Canonical naturals are positive and strictly increasing); inverses of positives are positive (Inverses of positives are positive, and reciprocation reverses order).
Finite sums in are computed pointwise, with the recursion (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension clause 1, Linear combination of a finite list, and the span as the smallest linear subspace containing , Laws of finite sums and finite products, Finite sums and finite products, by recursion).
Steinitz's polygonal confinement theorem, its notion of an admissible pair, and its support bound (Steinitz's polygonal confinement theorem: finitely many vectors of norm at most summing to can be ordered so that every partial sum has norm at most , Injection, surjection, bijection).
Verification
by [L2], so and ; also and . Hence for every .
, computing coordinatewise.
For the ordering the third partial sum is , whose norm squared is , using .
The vector lies in : its values lie in ; ; and .
The partial sums of the identity ordering are as displayed, by the recursion of [L4] applied coordinatewise.
Since and , the quantity of step 1.3 exceeds , so that partial sum has norm strictly greater than : a bad ordering really does break the bound.
The pair with the identity of and is admissible at : the values lie in , , and .
No element of has fewer than two strictly fractional coordinates. If none were fractional, would be a -vector with , hence with support of size , and ; the support cannot contain a pair , or , since the remaining single vector would then have to be while all six are nonzero, so it contains exactly one index from each pair and the sum is , whose second coordinate is and whose first is , and because (indeed ). If exactly one coordinate were fractional, say with value , then would be plus a canonical natural and could not equal .
Their norms squared are , , , , , and .
So of step 1.4 is a minimiser, its support is of size , and at : the support bound of [L5] holds, and a coordinate with value exists, for instance .
Each of these is at most : the largest is , and because . So every partial sum of the identity ordering has norm at most , and the identity ordering realises the bound of [L5].
Deleting position gives and , with and : an admissible pair at .
Steps 4.1, 2.2 and 4.2 give, in turn, an ordering realising the bound, an ordering violating it, and one traced step of the descending construction with its support bound checked.
Remarks
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The bound is not attained here. The largest partial-sum norm of the good ordering is , comfortably below . The theorem asserts existence of an ordering below and claims no sharpness, and this example makes no claim about the optimal constant either.
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What the bad ordering shows. Without the theorem there is no reason to expect any ordering to stay bounded independently of : the third partial sum of the bad ordering already exceeds , and lists of many unit vectors summing to can be ordered so that a partial sum has norm of order .
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Why one step of the construction is traced. An example that only asserted the bound would say nothing about how it is obtained. The step above exhibits the object the proof actually manipulates — a feasible vector of coefficients with as few fractional coordinates as possible — and checks the support bound that the descending construction turns on.
Depends on
- Steinitz's polygonal confinement theorem: finitely many vectors of norm at most $1$ summing to $0$ can be ordered so that every partial sum has norm at most $n$
- 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
- 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 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 $0$
- 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
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- Canonical naturals are positive and strictly increasing
- Laws of finite sums and finite products
- Finite sums and finite products, by recursion
- Linear combination of a finite list, and the span $\operatorname{span}(S)$ as the smallest linear subspace containing $S$
- Injection, surjection, bijection
- Inverses of positives are positive, and reciprocation reverses order
- Integer powers $a^m$
Used by
Nothing in the library uses this result yet.
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Sources
- Levy-Steinitz theorem (Wikipedia) (standard reference, not scraped)
- Ernst Steinitz (Wikipedia) (standard reference, not scraped)
- T. Oertel, J. Paat and R. Weismantel, A Colorful Steinitz Lemma with Applications to Block Integer Programs (standard reference, not scraped)
- T. Banakh, A Simple Inductive Proof of the Levy-Steinitz Theorem (standard reference, not scraped)