Nonvanishing of square-diagram Schur values at constant sequences #
The Jacobi–Trudi determinant for the square diagram at constant
power-sum sequences m (resp. −m) is nonzero. The positive case
is proved here by a row-normalized product identity; the negated
case is stated as SquareBinomialDetPos and proved by the
Lindström–Gessel–Viennot argument of LGVStrict.lean.
The hard core #
The negated case: the Jacobi–Trudi determinant for
squareDiagram s evaluated at the constant negative sequence −m
is nonzero whenever s ≤ m.
Equivalently (by sign extraction), the binomial Toeplitz determinant
det [C(m, s+j−i)]_{0 ≤ i,j < s} is nonzero for m ≥ s.
Proved as squareBinomialDetPos in LGVStrict.lean, by a
Lindström–Gessel–Viennot lattice-path count whose
non-intersecting-path formula is manifestly positive.
Equations
- RS.SquareBinomialDetPos = ∀ (s m : ℕ), 1 ≤ s → s ≤ m → (RS.diagramSchur (RS.squareDiagram s) fun (x : ℕ) => -↑m) ≠ 0
Instances For
Combinatorial tools #
Positive case: the row-normalized product identity #
Positive case: nonvanishing #
The square-diagram Schur value at the constant sequence m is
a positive rational.
The square-diagram Schur value at the constant sequence m
does not vanish.
Negative case #
The square-diagram Schur value at the negated constant
sequence −m does not vanish.