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The exact signature should follow the multivariate API chosen in #87. The theorem should support the two polarizations used by Gribinski--Marcus: one in the x variables and one in the y variables.
Reference
Gribinski--Marcus, A rectangular additive convolution for polynomials, Theorem 2.6, citing Borcea--Branden's polarization theorem for real stable polynomials.
Elementary symmetric polynomial notation for polarization.
Multiaffine polynomial support or a local predicate sufficient for the Gribinski--Marcus proof.
Notes
This is one of the two multivariate-stability inputs needed for Gribinski--Marcus Theorem 2.3. Keep the first version narrow: only the polarization operators needed for p(x*y) and (x*y)^d q(1/(x*y)) are required.
Theorem
Lean target:
The exact signature should follow the multivariate API chosen in #87. The theorem should support the two polarizations used by Gribinski--Marcus: one in the
xvariables and one in theyvariables.Reference
Gribinski--Marcus, A rectangular additive convolution for polynomials, Theorem 2.6, citing Borcea--Branden's polarization theorem for real stable polynomials.
Dependencies
Notes
This is one of the two multivariate-stability inputs needed for Gribinski--Marcus Theorem 2.3. Keep the first version narrow: only the polarization operators needed for
p(x*y)and(x*y)^d q(1/(x*y))are required.