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Dyadic--odd phase factorization and boundary weighting

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14 Dyadic–odd phase factorization and boundary weighting

Write

\[ N=2^sM, \qquad M\text{ odd}. \]

The cyclic index splits by the Chinese remainder theorem:

\[ {\mathbb Z}/N{\mathbb Z} \cong {\mathbb Z}/2^s{\mathbb Z}\times{\mathbb Z}/M{\mathbb Z}. \]

Proposition 14.1: Dyadic–odd packet factorization

After identifying the residue labels by the Chinese remainder map, the phase projector factors as

\[ \boxed{ P_{N,j}=P_{2^s,j_2}P_{M,j_o}. } \]

Proof of Proposition 14.1

The two congruence conditions are independent because \(2^s\) and \(M\) are coprime. Their indicator functions multiply to the indicator of the unique residue class modulo \(N\) satisfying both.

The first dyadic step is exceptional in Smith coordinates because it is the inversion \(z\mapsto z^{-1}\). Higher dyadic levels refine the open/short duality into quarter-, eighth-, and finer phase sectors.

Away from its pole \({\Gamma}=1\), the inverse Cayley map has derivative

\[ \frac{dz}{d{\Gamma}}=\frac{2}{(1-{\Gamma})^2}, \]

while normalized admittance has derivative proportional to \((1+{\Gamma})^{-2}\). Away from \({\Gamma}=\pm1\), this motivates the symmetric sensitivity

\[ \boxed{ w_{\rm Smith}({\Gamma}) = \frac1{|1-{\Gamma}|^2} + \frac1{|1+{\Gamma}|^2}. } \]
The proposed symmetric refinement weight near open- and short-circuit boundary points.
The proposed symmetric refinement weight becomes large near the open- and short-circuit boundary points. It is a condition-based adaptive coordinate, not an asserted optimal sampling law.

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Boundary 14.2: Weighted refinement

The sensitivity formula follows directly from the exact coordinate derivatives. Using it to choose an optimal adaptive grid, interpolation rule, or measurement design is a separate numerical problem. The release visualizes the weight but does not prove optimality.

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