fill-spectrum
At its defaults it draws the singular values of the fill between a separator's two halves, and of the same block renumbered. The block is 11 × 12, every entry of it nonzero, and its singular values fall by a factor of 16.2 at the first step and keep falling: 1, 0.062, 0.0039, 1.3·10⁻⁴, 2·10⁻⁶. That is the same cliff a block of a kernel matrix between two intervals has, and it is the same cliff for the same reason — the Schur complement of a discrete Laplacian is a discrete Green's function, so away from the diagonal it is an integral operator with a smooth kernel. The other curve is the same block after one symmetric permutation of the separator's unknowns: 1, 0.84, 0.64, 0.63, 0.57, which is a spectrum with no cliff in it at all. Both matrices have exactly the same entries.
fill-spectrum is one function in lib/figures/hfill.js —
the fill — dense, and not independent, on the separator nested dissection leaves. 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 block is 11 × 12, every entry of it nonzero, and its singular values fall by a factor of 16.2 at the first step and keep falling: 1, 0.062, 0.0039, 1.3·10⁻⁴, 2·10⁻⁶. That is the same cliff a block of a kernel matrix between two intervals has, and it is the same cliff for the same reason — the Schur complement of a discrete Laplacian is a discrete Green's function, so away from the diagonal it is an integral operator with a smooth kernel. The other curve is the same block after one symmetric permutation of the separator's unknowns: 1, 0.84, 0.64, 0.63, 0.57, which is a spectrum with no cliff in it at all. Both matrices have exactly the same entries.
k: 23
The arguments are the ones The fill that is not independent passes. A value drawn at the generator's defaults instead would be a picture no essay asked for and no assertion has been run against.
The block is 11 × 12, every entry of it nonzero, and its singular values fall by a factor of 16.2 at the first step and keep falling: 1, 0.062, 0.0039, 1.3·10⁻⁴, 2·10⁻⁶. That is the same cliff a block of a kernel matrix between two intervals has, and it is the same cliff for the same reason — the Schur complement of a discrete Laplacian is a discrete Green's function, so away from the diagonal it is an integral operator with a smooth kernel. The other curve is the same block after one symmetric permutation of the separator's unknowns: 1, 0.84, 0.64, 0.63, 0.57, which is a spectrum with no cliff in it at all. Both matrices have exactly the same entries.
k: 15
The arguments are the ones The fill that is not independent passes. A value drawn at the generator's defaults instead would be a picture no essay asked for and no assertion has been run against.
The block is 7 × 8, every entry of it nonzero, and its singular values fall by a factor of 19.1 at the first step and keep falling: 1, 0.052, 0.0019, 2.2·10⁻⁵, 7.9·10⁻⁸. That is the same cliff a block of a kernel matrix between two intervals has, and it is the same cliff for the same reason — the Schur complement of a discrete Laplacian is a discrete Green's function, so away from the diagonal it is an integral operator with a smooth kernel. The other curve is the same block after one symmetric permutation of the separator's unknowns: 1, 0.65, 0.62, 0.53, 0.49, which is a spectrum with no cliff in it at all. Both matrices have exactly the same entries.
What it checked while drawing
Every figure above asserted its own claims on the way to being drawn, and a claim that failed
would have failed the build rather than drawn a wrong picture. Those assertions 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.
3 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 grid whose cross block has room for a spectrum
and the same block renumbered does not
the block's spectrum falls off a cliff
Against the rule
It draws a decomposition and prints its residual. It calls
svd, crossSpectrum, separatorSchur,
and every figure above carries the badge — which residualcheck verifies by looking
for it in the emitted SVG rather than by finding the call that builds one. A badge that is
constructed and then left out of the body is the failure that check exists for.
Across the library: the rule bites on 141
of 264 generators —
126 print a residual and
15 are exempt with a published reason;
123 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.
The fill that is not independent
Eliminate both halves of a grid and what is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged. Its off-diagonal block is 11 by 12 and six columns describe it to eight digits. Renumber the separator and the same block needs all eleven.
Sparsity, and what elimination costsThe order decides the memory
Four elimination orderings on one matrix give factors of 1,739, 1,354, 1,413 and 1,026 entries. All four factorisations are exact, all four return the same answer, and the one with the better asymptotics is not the one that wins.
Neither sparse nor denseThe same matrix, numbered twice
One symmetric permutation. The condition number is 24.3948 either way to eight digits and the Frobenius norm is 6.13996414·10³ either way to twelve. The partition that stored 27,008 numbers now finds no admissible pair anywhere and stores all 65,536, and the format that compresses regardless stores 118,208.