A residue formula for integrals with hyperplane singularities

1 Minors and matrix properties

Definition 1 Leading principal minor
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The \(k\)-th leading principal minor \(p_k(J)\) is the determinant of the leading principal \(k \times k\) submatrix of \(J\).

Definition 2 \(q\)-minor
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The minor \(q_{k,l}(J)\) is the determinant of the submatrix with rows \(\{ 0,\ldots ,k{-}1\} \) and columns \(\{ 0,\ldots ,k{-}2, l\} \).

Definition 3 \(r\)-minor
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The minor \(r_{j,k}(J)\) is the determinant of the \((k{-}1)\times (k{-}1)\) submatrix with rows \(\{ 0,\ldots ,k{-}1\} \setminus \{ j\} \) and columns \(\{ 0,\ldots ,k{-}2\} \).

Definition 4 Stability
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A matrix \(J\) is stable if all leading principal minors \(p_1,\ldots ,p_n\) are positive and the signed \(r\)-minors \((-1)^{k-j} r_{j,k}\) are non-negative.

Definition 5 Compatibility
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A matrix \(J\) is compatible if it is either not stable, or for all \(k\) and \(l {\gt} k\) we have \(q_{k,l}(J) \leq 0\).

Proposition 6 LU characterization of compatibility

Let \(J = LU\) with \(L\) unit lower triangular and \(U\) upper triangular, and suppose \(J\) is stable. Then \(J\) is compatible if and only if every strictly-above-diagonal entry of \(U\) is non-positive. This rests on the identity \(q_{k,l}(LU) = \bigl(\prod _{j{\lt}k-1} u_{jj}\bigr)\, u_{k-1,l}\).

Proof

Factor \(L\) out of the \(q\)-minor submatrix; the remaining \(U\)-block is upper triangular, so its determinant is the product of its diagonal entries. Under stability the diagonal of \(U\) is positive, so the sign of \(q_{k,l}\) is the sign of \(u_{k-1,l}\).

Definition 7 Solubility
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A matrix \(J\) is soluble if all leading principal minors \(p_1,\ldots ,p_n\) are nonzero.

Theorem 8 Leading principal minor Schur identity

\(p_{k+1}(J) = J_{0,0} \cdot p_k(\mathrm{Schur}_{00}(J))\).

Proof

Block matrix factorization via Mathlib’s Schur complement.

Theorem 9 \(r\)-minor Schur identity
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\(r_{j+1,k+2}(J) = J_{0,0} \cdot r_{j,k+1}(\mathrm{Schur}_{00}(J))\).

Proof

Uses Laplace vanishing and the Schur complement structure.

Theorem 10 ImNumerator Schur scaling

The imaginary numerator satisfies \(\mathrm{imNum}(J, k{+}1, t) = J_{0,0} \cdot \mathrm{imNum}(\mathrm{Schur}_{00}(J), k, t')\) where \(t'\) is the Schur-restricted parameter.

Proof

Combines the leading principal minor and \(r\)-minor Schur identities.

Lemma 11 Stability decomposes step-wise
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\(J\) is stable if and only if it is stable at every step.

Proof

Direct unfolding of definitions.

Lemma 12 Stable implies soluble
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If \(J\) is stable, then \(J\) is soluble.

Proof

Positive minors are nonzero.