Generator

The numerical rank of one matrix is 10, 12, or somewhere between

One function in the race library, called 6 times across 1 essay. Below: what it draws at its defaults, what it draws at every value an essay asks for, the 4 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 the numerical rank of one matrix is 10, 12, or somewhere between. Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 10 at p = 8, 10 at p = 16, 11 at p = 32, 11 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

rank-verdict is one function in lib/figures/race.js — what a reduction decides when the decision is discrete — a step count, a rank, and a test's tolerance. 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 numerical rank of one matrix is 10, 12, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 10 at p = 8, 10 at p = 16, 11 at p = 32, 11 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank10highest rank12threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 10 at p = 8, 10 at p = 16, 11 at p = 32, 11 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

decay: 1.1

The arguments are the ones A rank that depends on the thread count passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

The numerical rank of one matrix is 10, 12, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 10 at p = 8, 10 at p = 16, 11 at p = 32, 11 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank10highest rank12threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 10 at p = 8, 10 at p = 16, 11 at p = 32, 11 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

decay: 0.8

The arguments are the ones A rank that depends on the thread count passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

The numerical rank of one matrix is 12, 13, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 13 at p = 8, 13 at p = 16, 12 at p = 32, 12 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank12highest rank13threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 13 at p = 8, 13 at p = 16, 12 at p = 32, 12 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

decay: 1.4

The arguments are the ones A rank that depends on the thread count passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

The numerical rank of one matrix is 9, 11, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 11 at p = 1, 10 at p = 2, 9 at p = 4, 9 at p = 8, 10 at p = 16, 9 at p = 32, 9 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank9highest rank11threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 11 at p = 1, 10 at p = 2, 9 at p = 4, 9 at p = 8, 10 at p = 16, 9 at p = 32, 9 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

decay: 0.9

The arguments are the ones A rank that depends on the thread count passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

The numerical rank of one matrix is 12, 13, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 13 at p = 8, 13 at p = 16, 12 at p = 32, 12 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank12highest rank13threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 12 at p = 1, 12 at p = 2, 12 at p = 4, 13 at p = 8, 13 at p = 16, 12 at p = 32, 12 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

decay: 1.6

The arguments are the ones A rank that depends on the thread count passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.

The numerical rank of one matrix is 9, 11, or somewhere betweenSingular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 10 at p = 1, 9 at p = 2, 9 at p = 4, 11 at p = 8, 10 at p = 16, 10 at p = 32, 10 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.13579111310⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²10¹index ksingular valueσ₁ · 10⁻¹⁴, the thresholdone matrix, three rankspartitionings7lowest rank9highest rank11threshold7.3·10⁻¹⁴σ₁7.3the curves separate in the noiseand the threshold is drawn through it

Singular values of one 60 × 14 matrix whose spectrum falls by a fixed factor per index, so there is no gap anywhere and the threshold decides the rank. Each curve is the same matrix, its Gram matrix formed with the inner products summed in a different number of pieces. The curves lie on top of each other for the first several values and separate below about 7.3·10⁻¹³, which is where forming AᵀA has put the rounding. The dashed line is the threshold, σ₁ · 10⁻¹⁴. Counting the values above it gives 10 at p = 1, 9 at p = 2, 9 at p = 4, 11 at p = 8, 10 at p = 16, 10 at p = 32, 10 at p = 60 — the rank of one matrix, as a function of how many workers were available. Not a digit of an answer: the number of columns a model built from this matrix would have.

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 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 decay with no gap in it

Jacobi needs a symmetric matrix

matmul shapes agree

one matrix, more than one numerical rank

Against the rule

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

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