GMRES on the Laplacian and on the cyclic shift, both 12×12
At its defaults it draws gmres on the laplacian and on the cyclic shift, both 12×12. A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
gmres-spectrum is one function in lib/figures/iterative.js —
iterative — krylov and stationary methods against rates known in closed form. 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 semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
size: 12
The arguments are the ones The spectrum that predicts nothing passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
size: 6
The arguments are the ones The spectrum that predicts nothing passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
size: 14
The arguments are the ones The spectrum that predicts nothing passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
size: 17
The arguments are the ones The spectrum that predicts nothing passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
size: 20
The arguments are the ones The spectrum that predicts nothing passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
A semi-logarithmic plot of relative residual against iteration. One curve falls steadily; the other is flat at one for every step until the last, where it drops to zero.
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.
32 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 shift has made no progress by step 1 — checked 19 times
the residual does not rise at step 1 — checked 10 times
and the shift is orthogonal, so every eigenvalue is on the unit circle
and then solves exactly at step n
matmul shapes agree
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 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 spectrum that predicts nothing
For a symmetric matrix the eigenvalues govern how fast an iteration converges. Drop symmetry and they stop governing anything — there is a matrix whose eigenvalues are as evenly spread as eigenvalues can be, on which GMRES makes no progress at all until the last possible step.
Eigenvalues, singular values, rankThe vector was what was wanted
Nobody who computes a matrix exponential wants the matrix. They want eᴬᵗb — one vector, the state of a system at a later time. Twenty matrix–vector products get it to sixteen digits on a hundred-by-hundred problem, without ever forming a hundred-by-hundred exponential, and the exponential that does get computed is twenty by twenty.