The transfer function of a 24-state model, by a solve and by a formula
At its defaults it draws the transfer function of a 24-state model, by a solve and by a formula. |H(iω)| for the second-difference operator on 24 points with one actuator and one sensor. The curve is C(iωI − A)⁻¹B, one factorisation of a complex 24 × 24 matrix per frequency, and the crosses are Σ(cᵀvₖ)(vₖᵀb)/(iω − λₖ) with the eigenvalues and eigenvectors written down in closed form. The two share the coefficient matrices and no code. Below ω = 100 they agree to 1.05·10⁻¹⁴ relatively; above it the modal sum is computing a number far below its own largest term, because the residues sum to cᵀb and the sensor is not at the actuator, so the relative comparison stops meaning what it looks like. Measured against the size of the terms being added, the two agree to 3.85·10⁻¹⁵ at every frequency. A state dimension of 24 and a function of one variable: the gap between those is what the field is about.
transfer-response is one function in lib/figures/lti.js —
a model that is a rational function — the degree that is a rank, by two routes that disagree. 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.
|H(iω)| for the second-difference operator on 24 points with one actuator and one sensor. The curve is C(iωI − A)⁻¹B, one factorisation of a complex 24 × 24 matrix per frequency, and the crosses are Σ(cᵀvₖ)(vₖᵀb)/(iω − λₖ) with the eigenvalues and eigenvectors written down in closed form. The two share the coefficient matrices and no code. Below ω = 100 they agree to 1.05·10⁻¹⁴ relatively; above it the modal sum is computing a number far below its own largest term, because the residues sum to cᵀb and the sensor is not at the actuator, so the relative comparison stops meaning what it looks like. Measured against the size of the terms being added, the two agree to 3.85·10⁻¹⁵ at every frequency. A state dimension of 24 and a function of one variable: the gap between those is what the field is about.
n: 24
The arguments are the ones A model that is a rational function passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
|H(iω)| for the second-difference operator on 24 points with one actuator and one sensor. The curve is C(iωI − A)⁻¹B, one factorisation of a complex 24 × 24 matrix per frequency, and the crosses are Σ(cᵀvₖ)(vₖᵀb)/(iω − λₖ) with the eigenvalues and eigenvectors written down in closed form. The two share the coefficient matrices and no code. Below ω = 100 they agree to 1.05·10⁻¹⁴ relatively; above it the modal sum is computing a number far below its own largest term, because the residues sum to cᵀb and the sensor is not at the actuator, so the relative comparison stops meaning what it looks like. Measured against the size of the terms being added, the two agree to 3.85·10⁻¹⁵ at every frequency. A state dimension of 24 and a function of one variable: the gap between those is what the field is about.
n: 12
The arguments are the ones The state that is removed is not a mode passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
|H(iω)| for the second-difference operator on 12 points with one actuator and one sensor. The curve is C(iωI − A)⁻¹B, one factorisation of a complex 12 × 12 matrix per frequency, and the crosses are Σ(cᵀvₖ)(vₖᵀb)/(iω − λₖ) with the eigenvalues and eigenvectors written down in closed form. The two share the coefficient matrices and no code. Below ω = 100 they agree to 2.96·10⁻¹⁵ relatively; above it the modal sum is computing a number far below its own largest term, because the residues sum to cᵀb and the sensor is not at the actuator, so the relative comparison stops meaning what it looks like. Measured against the size of the terms being added, the two agree to 1.23·10⁻¹⁵ at every frequency. A state dimension of 12 and a function of one variable: the gap between those is what the field is about.
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.
8 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.
a division by a complex number that is not zero
a formula and a factorisation are the same function
a grid fine enough to have modes and cheap enough to draw
a grid fine enough to have modes and coarse enough to draw
a system with a known eigenbasis
an actuator and a sensor on the grid
and agree against the size of what is added
LU is for square matrices
Against the rule
It draws a decomposition and prints its residual. It calls
transferBySolve, hinfNorm,
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.
A model that is a rational function
A state matrix has a hundred thousand rows and the thing anyone wants from it is a function of one complex variable. The number that says how much of that size was ever the complexity is a rank — and the rank a derivation writes down cannot be computed, while one built from samples alone can.
Reduction, and what a model is forThe state that is removed is not a mode
Balanced truncation removes one state and pays exactly twice one Hankel singular value. The natural reading is that the state removed is the model's least important mode and that the σ is that mode's own size — and on five systems that reading over-estimates by between 1.21 and 7.46, never once under.