bound-tightness
At its defaults it draws the proved bound against the error it bounds, at 24 significand bits. Two curves against the Hilbert size on a logarithmic vertical axis: the error the computation actually made, which is known because the exact answer is the integers by construction, and the bound proved for it in interval arithmetic. The bound is above the error at every size, by 9.949 to 23.12 times. Past n = 5 the method refuses to return a bound at all.
bound-tightness is one function in lib/figures/interval.js —
intervals — a bound that is proved rather than measured, and what proving it costs. 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.
Two curves against the Hilbert size on a logarithmic vertical axis: the error the computation actually made, which is known because the exact answer is the integers by construction, and the bound proved for it in interval arithmetic. The bound is above the error at every size, by 9.949 to 23.12 times. Past n = 5 the method refuses to return a bound at all.
bits: 24
The arguments are the ones A bound that is proved 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.
Two curves against the Hilbert size on a logarithmic vertical axis: the error the computation actually made, which is known because the exact answer is the integers by construction, and the bound proved for it in interval arithmetic. The bound is above the error at every size, by 9.949 to 23.12 times. Past n = 5 the method refuses to return a bound at all.
bits: 32
The arguments are the ones A bound that is proved 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.
Two curves against the Hilbert size on a logarithmic vertical axis: the error the computation actually made, which is known because the exact answer is the integers by construction, and the bound proved for it in interval arithmetic. The bound is above the error at every size, by 8.174 to 2822 times. Past n = 7 the method refuses to return a bound at all.
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.
10 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.
the bound holds at n = 3 — asserted 5 times
a precision the boundary is inside the drawn sizes at
and refuses at least one
and the bound it returns is not uselessly loose
LU is for square matrices
the method verifies at least two of these
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 52
of 99 generators —
37 print a residual and
15 are exempt with a published reason;
47 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 bound that is proved
Every error statement on this site so far is a measurement of one run. Interval arithmetic makes a different kind of claim — the answer lies in this set, for this input, with no probability attached — and its failure mode is that it returns nothing at all. On a Hilbert system it proves a bound 23 times the error it bounds, and one size later it refuses.
Two errors, and whose fault they areAn answer that is known
Almost every demonstration of numerical error estimates the error by computing the same thing more carefully. The Hilbert matrix does not need that: its inverse is a closed form in integers, so the true answer is available exactly and the error is measured rather than approximated.
The arithmetic underneathThe direction the error leans
The size of one rounding error is set by the precision. How ten thousand of them combine is set by something else entirely — the rounding mode — and the fitted exponents are 0.47 for round-to-nearest and 1.01 for round-toward-infinity, on identical data at identical precision.