schur-fill
At its defaults it draws the schur complement left on a 15-unknown separator, shaded by the size of each entry. A 15 × 15 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 7 × 8 between the separator's two halves: every entry nonzero, and 5 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
schur-fill 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.
A 15 × 15 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 7 × 8 between the separator's two halves: every entry nonzero, and 5 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
k: 15
The arguments are the ones A block nobody can call sparse 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.
A 15 × 15 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 7 × 8 between the separator's two halves: every entry nonzero, and 5 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
k: 11
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.
A 11 × 11 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 5 × 6 between the separator's two halves: every entry nonzero, and 4 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
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.
A 23 × 23 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 11 × 12 between the separator's two halves: every entry nonzero, and 6 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
k: 7
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.
A 7 × 7 grid, its middle column taken as a separator, and both halves eliminated exactly. What is left on the separator is 100 per cent nonzero — the sparsity field's result, unchanged: eliminating a variable couples everything it touched, and by the end everything is coupled to everything. The shading is what that field does not measure. The entries fall away smoothly from the diagonal, because the Schur complement is a discrete Green's function — the operator mapping data on the separator to response on the separator — and away from the diagonal that is an integral operator with a smooth kernel. The outlined block is the 3 × 4 between the separator's two halves: every entry nonzero, and 3 columns describe it to eight digits. The rank structure was not put there by the elimination. It was in the differential operator before anything was discretised.
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.
4 distinct claims across 5 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 the dense half-eliminations are affordable at
and it is not full rank once the block has room to be less
and the block between the separator's halves is not more than full rank
every entry of the Schur complement is nonzero
Against the rule
It draws a decomposition and prints its residual. It calls
epsRank, 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.
A block nobody can call sparse
A 96 × 96 block of a kernel matrix has ninety-six nonzero singular values and five that matter. It has no zero entries, it is not described by fewer numbers than it contains, and neither of the two ways this collection already knows to make a large matrix affordable applies to it.
Sparsity, and what elimination costsThe factor is not sparse
A sparse matrix has a factor that is not sparse, and the gap between them is the entire reason iterative methods exist. The entries elimination creates can be counted before any arithmetic runs, from the graph alone.
Sparsity, and what elimination costsThe 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.