YoungDiagram

3 Sigma Sequences

Definition 41 Sigma sequence
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For a chromosome \(X\), the sigma sequence is the function \(\sigma _X(k) = \mathrm{sig}(X^{(k)}) \in \mathbb {Q} \times \mathbb {Q}\). We write \(a_X(k) = \sigma _X(k).1\) and \(b_X(k) = \sigma _X(k).2\).

Lemma 42 Sigma is antitone
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The sigma sequence is antitone (componentwise decreasing).

Lemma 43 First two sigma monotonicity conditions

The first and second components separately form decreasing sequences and both are eventually zero. These are the formal versions of conditions (15.2) and (15.3).

Lemma 44 Sigma is eventually zero
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There exists \(K\) such that \(\sigma _X(k) = 0\) for all \(k \ge K\).

Lemma 45 Interlacing conditions
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The components of the sigma sequence satisfy interlacing inequalities. If \(k\) is even, then \(b_X(k+1) \le a_X(k)\) and \(a_X(k+1) \le b_X(k)\). If \(k\) is odd, the inequalities are reversed.

Lemma 46 Difference conditions for Pi
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If \(X \in \mathrm{Pi}\), the successive drops \(a_X(k)-a_X(k+1)\) and \(b_X(k)-b_X(k+1)\) satisfy the alternating inequalities (15.6) and (15.7).

Lemma 47 Sigma drops count alternating signs

For a polarized chromosome, the drop in the first sigma component from \(k\) to \(k+1\) counts genes in \(X^{(k)}\) that are positive in the alternating basis; the drop in the second component counts the corresponding negative genes.

Lemma 48 Comparing drops to the initial drop

The alternating inequalities imply useful global comparisons: later drops are bounded by the initial drop, and telescoping gives \(a_1-a_i \le b_0-b_{i-1}\) for \(i\ge 1\).

The inequalities between \(b_0\) and \(a_1\) detect the sign of a rank-one polarized gene. Summing this test over a chromosome produces a negative gene whenever \(b_0{\gt}a_1\).

Lemma 50 Dominance implies componentwise inequality
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If \(X {\lt} Y\) in \(\mathrm{Pi}\), then \(\sigma _X(k) \le \sigma _Y(k)\) componentwise for all \(k\) with strict inequality for some \(k\).