Generator

Same matrix, same arithmetic, 4.13× the fill

One function in the graphres library, called 7 times across 1 essay. Below: what it draws at its defaults, what it draws at every value an essay asks for, the 17 claims it put to the test while drawing them, and where it stands against the rule this site is named for.

At its defaults it draws same matrix, same arithmetic, 4.13× the fill. Gaussian elimination on the Laplacian of the grid 6×6, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 3·10⁻¹⁵. Minimum degree fills 71 edges against 293 for the worst ordering here, on a graph with 60 to start with. Nothing about the arithmetic differs between these five runs.

elimination-fill is one function in lib/figures/graphres.js — resistance, sparsification and elimination — three routes to one number, and a count that outgrows the format. 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.

Same matrix, same arithmetic, 4.13× the fillGaussian elimination on the Laplacian of the grid 6×6, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 3·10⁻¹⁵. Minimum degree fills 71 edges against 293 for the worst ordering here, on a graph with 60 to start with. Nothing about the arithmetic differs between these five runs.05101520253035059118177236295vertices eliminatededges of fill so farminDegree: 71natural: 125reverse: 125random: 160maxDegree: 293fill, by orderingminDegree71natural125reverse125random160maxDegree293edges to start60eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 6×6, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 3·10⁻¹⁵. Minimum degree fills 71 edges against 293 for the worst ordering here, on a graph with 60 to start with. Nothing about the arithmetic differs between these five runs.

family: "grid", n: 36

The arguments are the ones Eliminating a vertex is a graph operation passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

Same matrix, same arithmetic, 4.13× the fillGaussian elimination on the Laplacian of the grid 6×6, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 3·10⁻¹⁵. Minimum degree fills 71 edges against 293 for the worst ordering here, on a graph with 60 to start with. Nothing about the arithmetic differs between these five runs.05101520253035059118177236295vertices eliminatededges of fill so farminDegree: 71natural: 125reverse: 125random: 160maxDegree: 293fill, by orderingminDegree71natural125reverse125random160maxDegree293edges to start60eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 6×6, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 3·10⁻¹⁵. Minimum degree fills 71 edges against 293 for the worst ordering here, on a graph with 60 to start with. Nothing about the arithmetic differs between these five runs.

n: 9

The arguments are the ones Eliminating a vertex is a graph operation passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

Same matrix, same arithmetic, 3.4× the fillGaussian elimination on the Laplacian of the grid 3×3, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 5.55·10⁻¹⁶. Minimum degree fills 5 edges against 17 for the worst ordering here, on a graph with 12 to start with. Nothing about the arithmetic differs between these five runs.024680369121518vertices eliminatededges of fill so farminDegree: 5natural: 8reverse: 8random: 17maxDegree: 17fill, by orderingminDegree5natural8reverse8random17maxDegree17edges to start12eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 3×3, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 5.55·10⁻¹⁶. Minimum degree fills 5 edges against 17 for the worst ordering here, on a graph with 12 to start with. Nothing about the arithmetic differs between these five runs.

n: 16

The arguments are the ones Eliminating a vertex is a graph operation passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

Same matrix, same arithmetic, 3.17× the fillGaussian elimination on the Laplacian of the grid 4×4, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 1.17·10⁻¹⁵. Minimum degree fills 18 edges against 57 for the worst ordering here, on a graph with 24 to start with. Nothing about the arithmetic differs between these five runs.024681012141601122334455vertices eliminatededges of fill so farminDegree: 18natural: 27reverse: 27random: 32maxDegree: 57fill, by orderingminDegree18natural27reverse27random32maxDegree57edges to start24eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 4×4, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 1.17·10⁻¹⁵. Minimum degree fills 18 edges against 57 for the worst ordering here, on a graph with 24 to start with. Nothing about the arithmetic differs between these five runs.

n: 25

The arguments are the ones Eliminating a vertex is a graph operation passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

Same matrix, same arithmetic, 3.86× the fillGaussian elimination on the Laplacian of the grid 5×5, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 6.33·10⁻¹⁶. Minimum degree fills 37 edges against 143 for the worst ordering here, on a graph with 40 to start with. Nothing about the arithmetic differs between these five runs.048121620240295887116145vertices eliminatededges of fill so farminDegree: 37natural: 64reverse: 64random: 67maxDegree: 143fill, by orderingminDegree37natural64reverse64random67maxDegree143edges to start40eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 5×5, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 6.33·10⁻¹⁶. Minimum degree fills 37 edges against 143 for the worst ordering here, on a graph with 40 to start with. Nothing about the arithmetic differs between these five runs.

n: 49

The arguments are the ones Eliminating a vertex is a graph operation passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

Same matrix, same arithmetic, 4.41× the fillGaussian elimination on the Laplacian of the grid 7×7, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 8.88·10⁻¹⁶. Minimum degree fills 119 edges against 525 for the worst ordering here, on a graph with 84 to start with. Nothing about the arithmetic differs between these five runs.071421283542490105210315420525vertices eliminatededges of fill so farminDegree: 119natural: 216reverse: 216random: 256maxDegree: 525fill, by orderingminDegree119natural216reverse216random256maxDegree525edges to start84eliminating a vertex makes a cliqueand the order decides how big

Gaussian elimination on the Laplacian of the grid 7×7, under five orderings, counting the edges that did not exist before. Eliminating a vertex removes it and joins its neighbours into a clique — the star–mesh transform, which is what the Schur complement of a Laplacian does — so fill is a set of edges rather than a set of nonzeros, and the matrix that remains is still a graph: symmetric, zero row sums, nonpositive off the diagonal, checked at every step and worst at 8.88·10⁻¹⁶. Minimum degree fills 119 edges against 525 for the worst ordering here, on a graph with 84 to start with. Nothing about the arithmetic differs between these five runs.

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.

17 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 connected graph

a family the library builds

a graph the dense elimination can afford

a graph with at least two vertices

a positive pivot, which a connected Laplacian's elimination has at every step

a positive weight

an ordering of every vertex

an ordering with no repeats

every endpoint inside the vertex set

no edge given twice

no self-loop

the Schur complement stays a Laplacian under maxDegree

the Schur complement stays a Laplacian under minDegree

the Schur complement stays a Laplacian under natural

the Schur complement stays a Laplacian under random

the Schur complement stays a Laplacian under reverse

with every off-diagonal still nonpositive

Against the rule

It draws a decomposition and prints its residual. It calls eliminate, 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 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.

The whole library · All essays · What must fail