How much two runs of the same fit agree about the factors, from 6 starting points each
At its defaults it draws how much two runs of the same fit agree about the factors, from 6 starting points each. Every run here reaches its target to the rounding level — 3·10⁻¹³, 1.16·10⁻¹¹ and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.0207. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.1089 and its factors mean nothing on their own.
congruence-bars is one function in lib/figures/cpals.js —
alternating least squares — an iteration that walks out of the set it is searching. Everything below came out of it during this build, at
arguments taken from the essays rather than invented for this page. A figure here is the
figure a reader meets in an essay, and if the generator changes, this page changes with it.
At its defaults
Drawn even though every essay passes arguments — which on this site is every essay, at 100% of placements since the standard pass. A default nothing exercises is a trap for the next essay to call this with none, and this is the page where a default that has drifted from the figures around it becomes visible.
Every run here reaches its target to the rounding level — 3·10⁻¹³, 1.16·10⁻¹¹ and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.0207. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.1089 and its factors mean nothing on their own.
seeds: 6
The arguments are the ones A factorisation that is unique for once passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Every run here reaches its target to the rounding level — 3·10⁻¹³, 1.16·10⁻¹¹ and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.0207. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.1089 and its factors mean nothing on their own.
seeds: 3
The arguments are the ones A factorisation that is unique for once passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Every run here reaches its target to the rounding level — 1.55·10⁻¹³, 3.59·10⁻¹² and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.1450. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.1089 and its factors mean nothing on their own.
seeds: 4
The arguments are the ones A factorisation that is unique for once passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Every run here reaches its target to the rounding level — 3·10⁻¹³, 3.59·10⁻¹² and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.1026. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.1089 and its factors mean nothing on their own.
seeds: 8
The arguments are the ones A factorisation that is unique for once passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Every run here reaches its target to the rounding level — 3·10⁻¹³, 1.16·10⁻¹¹ and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.0207. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.0432 and its factors mean nothing on their own.
seeds: 10
The arguments are the ones A factorisation that is unique for once passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Every run here reaches its target to the rounding level — 3·10⁻¹³, 1.16·10⁻¹¹ and 2.39·10⁻¹⁵ at worst — so all three are successful factorisations. The bar is the worst agreement between any two of them about the *factors*, matched over permutations and scalings, which is exactly the freedom the uniqueness theorem allows. Kruskal's condition, that the Kruskal ranks of the three factors sum to at least 2r + 2, holds for the first (9 ≥ 8) and fails for the second (6 < 8), and the bars are 1.0000 and 0.0207. The matrix is the comparison the whole thing rests on: AB = (AM)(M⁻¹B) for every invertible M, so its runs agree to 0.0432 and its factors mean nothing on their own.
What it checked while drawing
Every figure above checked its own claims on the way to being drawn, and a claim that failed
would have stopped the picture rather than shipped a wrong one. Those checks used to leave
no trace at all: a passing one returned true and the only evidence the figure had
checked anything was that nothing crashed. The list below is what they actually said, collected
by running this generator with an observer installed — not a description of
what it is believed to check.
7 distinct claims across 6 sets of arguments, grouped below by shape — because most of them are one sentence with a different number in it, and how many separate times that sentence was put to the test is the informative part.
a number of starting points
an angle between the columns, above zero
an angle the dial draws
and only the first is recovered the same way twice
matmul shapes agree
one case satisfies Kruskal's condition and one does not
while every matrix run factorises
Against the rule
The rule does not apply to it. It factorises nothing, so there is no residual it could be withholding. That is worth stating rather than leaving blank: a site that reported the rule as satisfied by every generator would be counting mostly generators the rule never reached.
Across the library: the rule bites on 217
of 397 generators —
199 print a residual and
18 are exempt with a published reason;
180 factorise nothing.
Read from lib/residual-rule.js, which is the same body the gate enforces from,
and the gate's last check fails the build if this page and it disagree about any generator.
Where it is called
Changing this generator changes every figure on this list. That is what makes the list worth publishing rather than keeping in a check script.
A factorisation that is unique for once
A rank-r factorisation of a matrix is never unique — AB is (AM)(M⁻¹B) for any invertible M, so no factor means anything on its own. For three indices a checkable condition on the factors' k-ranks makes the decomposition unique up to permuting and scaling the terms, and it holds generically.
When the index is a tupleUnique, and not determined
Kruskal's condition says a CP decomposition is unique, and it says it as a yes or a no. Turn two columns of one factor of a 4 × 4 × 4 rank-three tensor toward each other and the condition keeps saying yes at every angle above zero, by one to spare. What it does not say is how well the unique decomposition is determined. The Jacobian of the map from factors to tensor loses its smallest singular value in proportion to the angle, and the true decomposition of a tensor perturbed by one part in 10⁸ moves by 1.6 parts at θ = 0.1 and by 200 at θ = 10⁻³. Alternating least squares, started at the exact answer, finds the moved decomposition while the angle is large, slows by ten times or more on the way to θ = 0.1, and below θ = 0.03 never arrives: at θ = 10⁻³ its own stopping test fires after 11 to 65 sweeps with its terms 200 to 420 perturbations from the answer and its residual within a per cent of the answer's.