For a normalized Laplacian, conductance and the second eigenvalue control one another. The example is deliberately concrete; it is a test of the statement, not a substitute for it.
The mathematical object
The graph Laplacian \(L=D-A\) is positive semidefinite and turns combinatorial connectivity into linear algebra. A random walk uses \(P=D^{-1}A\) when degrees are positive.
The formulas should not be merged too early. The datum \(\mathsf D\), the conclusion \(\mathsf C\), and the bridge \(\Longrightarrow\) have three different logical jobs.
One explicit computation
A worked instance is useful here because it exposes every index that the compressed statement hides.
Why the identity matters
The two-row display is also a debugging tool: if the conclusion changes when only notation changes, some hidden choice has entered the argument.
Where it can fail
Normalized and unnormalized Laplacians have different eigenvalues and orthogonality measures. Formulas must state which one is being used.
With the dependency made explicit, the same pattern can be recognised safely in nearby problems. A changed hypothesis should now be easy to spot.