Generator

contraction-determinant

One function in the fma library, called 16 times across 13 essays. 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 a determinant of one, computed as zero by the expression that is written down. The matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.

contraction-determinant is one function in lib/figures/fma.js — one multiply the compiler removed — a determinant of one computed as zero, and a verdict that is a build's. 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 determinant of one, computed as zero by the expression that is written downThe matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.2022242628303210⁻¹⁷10⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²k, where the entries are near 2ᵏrelative error of the determinantas writtenfused: exactproducts need 54 bitsone rounding, the whole answertrue determinant1naive, k = 300fused, k = 301first wrong at k27sizes returning 06both forms conformand the source does not say which

The matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.

upTo: 32

The arguments are the ones A matrix that is definite on one machine 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 determinant of one, computed as zero by the expression that is written downThe matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.2022242628303210⁻¹⁷10⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²k, where the entries are near 2ᵏrelative error of the determinantas writtenfused: exactproducts need 54 bitsone rounding, the whole answertrue determinant1naive, k = 300fused, k = 301first wrong at k27sizes returning 06both forms conformand the source does not say which

The matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.

upTo: 28

The arguments are the ones One multiply the compiler removed 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 determinant of one, computed as zero by the expression that is written downThe matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.202224262810⁻¹⁷10⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²k, where the entries are near 2ᵏrelative error of the determinantas writtenfused: exactproducts need 54 bitsone rounding, the whole answertrue determinant1naive, k = 300fused, k = 301first wrong at k27sizes returning 02both forms conformand the source does not say which

The matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.

upTo: 45

The arguments are the ones One multiply the compiler removed 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 determinant of one, computed as zero by the expression that is written downThe matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.2022242628303234363840424410⁻¹⁷10⁻¹⁴10⁻¹¹10⁻⁸10⁻⁵10⁻²k, where the entries are near 2ᵏrelative error of the determinantas writtenfused: exactproducts need 54 bitsone rounding, the whole answertrue determinant1naive, k = 300fused, k = 301first wrong at k27sizes returning 019both forms conformand the source does not say which

The matrix [[x+2, x+1], [x+3, x+2]] at x = 2ᵏ has determinant exactly 1 at every k. The two products are x² + 4x + 4 and x² + 4x + 3, so they differ by one part in x², and above k = 26 they round to the same binary64 number. Relative error of two evaluations: ad − bc as written, which is exact until k = 27 and then returns zero at every larger size; and Kahan's form, w = bc, e = bc − w recovered by the fusion, (ad − w) − e, which is exact throughout. The difference between them is one rounding of one product — a relative 10⁻¹⁶ — and it is the whole of the answer, because the subtraction that follows removes everything else. Both forms are IEEE-754 conforming and a compiler may emit either from the same source.

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 4 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 sweep that reaches past the point of failure

and the fused route is exact at every size

past that point it returns zero, which has no sign

the naive route fails once the products need more than 53 bits

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 197 of 363 generators — 179 print a residual and 18 are exempt with a published reason; 166 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 answer that depends on the machine

A matrix that is definite on one machine

Two hundred Gram matrices, two conforming builds, and twenty-six of them get different answers to "is this positive definite". The exact verdict, from determinants in BigInt rationals, says the fused build is right nine times and the other one seventeen.

The answer that depends on the machine

A square that evaluates negative

(x − 1)⁶ evaluated near x = 1 comes out negative at 179 of 401 points on one build and 196 on another, and the two disagree about the sign at 98 of them. Neither is nearer the truth: both traces are made entirely of rounding.

The answer that depends on the machine

A stopping test is a race

One matrix, one right-hand side, one tolerance, thirteen partition counts — and eleven different iteration counts between 674 and 690. Every run converged, every answer is right to the accuracy asked for, and what differs is the bill.

The answer that depends on the machine

One multiply the compiler removed

A determinant whose value is exactly 1, computed as exactly 0 by the expression that is written down, and exactly 1 by the same expression with the multiply and the add fused. Both forms conform to IEEE-754, both are legal compilations of the same source, and nothing in the program says which one you have.

Two errors, and whose fault they are

The fifth author

Four authors of a wrong answer have been named on this site and each is a statement about one computation. The fifth is not: it is what separates two computations that are both correct, it is a backward error of measurable size, and no residual, bound or condition number contains it.

The answer that depends on the machine

The length that changes the kernel

A dot product's accuracy steps by a factor of 1.57 between 63 and 64 terms, on vectors drawn identically at both lengths. Nothing about the problem changes there. A library switches from one accumulator to four, at a constant in somebody else's source file.

The answer that depends on the machine

The same program, twice

One vector of 4,096 numbers, one summation algorithm, one precision, twenty-six runs — and twenty-one different answers. Nothing in the program chose between them, every one of them satisfies the textbook bound, and the exactly rounded answer is not among them.

The answer that depends on the machine

The sum that cannot be wrong

Snap every addend to a common multiple before adding, and every partial sum is exact — so the order stops mattering, by construction rather than by luck. Four hundred permutations return one value where an ordinary reduction returns three hundred and three.

The answer that depends on the machine

The tolerance that buys no agreement

Ask for four more orders of accuracy and you get them — the answers improve by a factor of 1.5 million. The ratio between the best and the worst run is 1.34, 1.48, 1.71 and 1.17 across the same sweep. The band falls and it does not close.

The answer that depends on the machine

The vector that hides it

Every quick demonstration of a parallel sum uses positive numbers, and positive numbers are the one family where the effect is absent. Measured on six inner products this site already computes, the summation condition number runs from exactly 1 to 10¹⁷ — and the safe end is where nobody makes a decision.

The answer that depends on the machine

Two machines, one certificate

Nothing a solver returns says which of its answers you got. Four things could be reported instead — the summation condition number, the partition count, an exactly accumulated residual and a directed-rounding interval — and each costs about one pass over data the routine already has in hand.

The answer that depends on the machine

What a regression test can ask for

The machine's own variation on one solve is 3.2·10⁻¹², and the smallest defect whose answers clear it is one part in 10¹². The tolerance exists, it is bracketed on both sides by a factor of 1.42, and it is neither zero nor the 10⁻⁸ that usually gets typed.

The answer that depends on the machine

What determinism costs

Six ways to add up a vector, priced in operations per element and in accuracy. Nothing sits in the bottom left of the figure — an answer that is the same on every machine costs between three and twelve operations where an answer that is not costs one.

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