Two condition numbers of one 8×8 system, as its rows are put into different units
At its defaults it draws two condition numbers of one 8×8 system, as its rows are put into different units. Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 1.9·10¹⁰ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
unit-ladder is one function in lib/figures/scaling.js —
units — the condition number that is a choice of them, and the one that is not. 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.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 1.9·10¹⁰ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
maxSpread: 8
The arguments are the ones The inverse that is never formed passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 1.9·10⁸ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
maxSpread: 10
The arguments are the ones The units the matrix is measured in passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 1.9·10¹⁰ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
maxSpread: 2
The arguments are the ones The units the matrix is measured in passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 223 while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
maxSpread: 4
The arguments are the ones The units the matrix is measured in passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 2·10⁴ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
maxSpread: 6
The arguments are the ones The units the matrix is measured in passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Four curves against the spread of the row units, in decades. κ∞ of the scaled matrix rises from 9.83 to 1.9·10⁶ while the componentwise condition number stays at 6.98 throughout — the same system, the same solution, and one of the two numbers is a fact about the units. Hilbert's two numbers are drawn flat beside them at 3.4·10¹⁰ and 1.2·10¹⁰: a matrix whose sensitivity no scaling repairs.
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.
36 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.
the componentwise number is unchanged at a spread of 0.0 decades — checked 29 times
a size the two inversions stay accurate at
a spread of units the axis has room for
and equilibrating Hilbert barely moves its condition number
and is never above the normwise one
LU is for square matrices
matmul shapes agree
the units alone take κ up by nearly the whole spread
Against the rule
It draws a decomposition and prints its residual. It calls
condInf, condSkeel,
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 inverse that is never formed
x = A⁻¹b is how the solution of a linear system is written and it is not how it is computed. The usual reason given is cost — three times the arithmetic. The real reason is that one of the two routes is backward stable and the other is not, and at κ = 10¹⁴ they differ by twelve orders of magnitude in the number that says whose fault a wrong answer is.
Elimination, and the swapThe pivot that reads the units
Partial pivoting compares the entries of a column and takes the largest. Those entries carry units, so the comparison depends on them — and there is a row scaling, on the standard two-by-two that pivoting exists to fix, which makes partial pivoting perform the identical catastrophic elimination it was introduced to prevent, with no interchange at all.
Two errors, and whose fault they areThe units the matrix is measured in
One linear system, written twice. The rows of the second are the rows of the first in different units, the solution is identical to the last bit, and the condition number has moved by eight orders of magnitude. One of those two numbers is a fact about the problem and the other is a fact about the notation.