σ ↦ σ(3 − σ²)/2, the map Newton–Schulz applies to every singular value, started at 1.6
At its defaults it draws σ ↦ σ(3 − σ²)/2, the map newton–schulz applies to every singular value, started at 1.6. The cubic and the diagonal, with the iteration from 1.6 drawn as a cobweb. The fixed points are 0, 1 and −1, and zero is repelling — its slope there is 3/2. Every starting value in (0, √3) is carried to 1, so the matrix iteration converges exactly when every singular value is inside that interval; √3 = 1.7320508 is sent to exactly zero, and past it the sequence leaves. From 1.6 the limit is 1.000000.
schulz-ball is one function in lib/figures/polar.js —
the polar factor — the nearest orthogonal matrix, and two ways to it without an svd. 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.
The cubic and the diagonal, with the iteration from 1.6 drawn as a cobweb. The fixed points are 0, 1 and −1, and zero is repelling — its slope there is 3/2. Every starting value in (0, √3) is carried to 1, so the matrix iteration converges exactly when every singular value is inside that interval; √3 = 1.7320508 is sent to exactly zero, and past it the sequence leaves. From 1.6 the limit is 1.000000.
alpha: 2.24
The arguments are the ones An answer that changes with the seed passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
The cubic and the diagonal, with the iteration from 2.24 drawn as a cobweb. The fixed points are 0, 1 and −1, and zero is repelling — its slope there is 3/2. Every starting value in (0, √3) is carried to 1, so the matrix iteration converges exactly when every singular value is inside that interval; √3 = 1.7320508 is sent to exactly zero, and past it the sequence leaves. From 2.24 the limit is not finite.
alpha: 1.6
The arguments are the ones The nearest orthogonal matrix passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
The cubic and the diagonal, with the iteration from 1.6 drawn as a cobweb. The fixed points are 0, 1 and −1, and zero is repelling — its slope there is 3/2. Every starting value in (0, √3) is carried to 1, so the matrix iteration converges exactly when every singular value is inside that interval; √3 = 1.7320508 is sent to exactly zero, and past it the sequence leaves. From 1.6 the limit is 1.000000.
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.
4 distinct claims across 3 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 starting value the cubic keeps finite for a few steps
and every starting value above it goes somewhere else
and every starting value below √3 is carried to one
the cubic sends √3 to exactly zero
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.
An answer that changes with the seed
A randomised rank-k solve is a truncation computed in a random subspace, and it reaches the same floor as the deterministic ones. What it does not do is return the same answer twice — a factor of 1.84 across four seeds at rank 8, and 1.02 at the rank where the method is best.
Orthogonality, measuredThe nearest orthogonal matrix
Every field that has to clean up a drifted rotation reaches for QR, and QR does not answer the question. The nearest orthogonal matrix is the orthogonal factor of the polar decomposition — nearer by about a tenth, and, more to the point, the same matrix whatever order the columns were written in. QR's answer changes completely.