The lower bound is attained and the upper one is out by 37.3×
At its defaults it draws the lower bound is attained and the upper one is out by 37.3×. Cheeger's inequality on nine graphs of about 40 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 37.3 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
cheeger-band is one function in lib/figures/graphlap.js —
the matrix a graph makes — row sums that are exactly zero, a count that is a threshold, and a partition with no vector. 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.
Cheeger's inequality on nine graphs of about 40 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 37.3 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
n: 40
The arguments are the ones A bound with a square root in it passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Cheeger's inequality on nine graphs of about 40 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 37.3 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
n: 16
The arguments are the ones A bound with a square root in it passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Cheeger's inequality on nine graphs of about 16 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 13.7 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
n: 52
The arguments are the ones A bound with a square root in it passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Cheeger's inequality on nine graphs of about 52 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 49.2 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
n: 32
The arguments are the ones Two Laplacians of one graph passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Cheeger's inequality on nine graphs of about 32 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 29.4 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
n: 64
The arguments are the ones Two Laplacians of one graph passes. A value nobody placed would be a picture no essay asked for and no claim was ever checked against.
Cheeger's inequality on nine graphs of about 64 vertices each: for the normalised Laplacian's λ₂, λ₂/2 ≤ φ ≤ √(2λ₂), where φ is the conductance the sweep cut actually achieves. Each row shows the two bounds as a bar and the measured conductance as a dot inside it. The lower bound is tight on the complete at a ratio of 1. The upper bound is loosest on the barbell — by a factor of 61.2 — which is the graph in the census with a real bottleneck, and therefore the shape the inequality is always quoted about. The square root is what makes it loose: it is the price of turning a spectral quantity into a combinatorial guarantee, and it is paid where the guarantee is wanted.
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.
18 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.
a graph with at least two vertices
a planted partition with no isolated vertex
a positive weight
a size every family in the census can be built at
Cheeger's inequality holds on the barbell
Cheeger's inequality holds on the complete
Cheeger's inequality holds on the cycle
Cheeger's inequality holds on the grid
Cheeger's inequality holds on the hypercube
Cheeger's inequality holds on the path
Cheeger's inequality holds on the preferential
Cheeger's inequality holds on the star
Cheeger's inequality holds on the two blocks
every endpoint inside the vertex set
Jacobi needs a symmetric matrix
no edge given twice
no isolated vertex, which the normalisation divides by
no self-loop
Against the rule
It calls a factoriser without drawing a factorisation
(cheeger),
so the rule is written down as not applying, with the reason:
each bar spans λ₂/2 and √(2λ₂) and the dot inside it is the conductance the sweep achieved — the figure is the inequality and its three numbers, and a badge would print the dot a second time
The exemption list is the interesting half of the rule rather than an escape hatch — it is
where a decision about a figure had to be argued in one line. residualcheck
refuses an exemption that is not doing work, and rejected ten of the fifteen written for the
expansion's figures on exactly that ground: a figure whose vertical axis is a residual
satisfies the rule by construction, and touching a factoriser does not by itself require an
entry.
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 bound with a square root in it
Cheeger's inequality brackets a graph's best cut between λ₂/2 and √(2λ₂). The lower bound is attained exactly. The upper one is loose by a factor of fourteen — on the one graph in the census with a real bottleneck, which is the shape it is always quoted about.
The matrix that is a graphTwo Laplacians of one graph
The combinatorial Laplacian D − A and the normalised one, which conjugates it by the inverse square roots of the degrees, are built from the same object, are not similar to each other, and answer different questions. On a graph whose degrees are equal they coincide. On one whose degrees span an order of magnitude their second eigenvalues are sixteen times apart.