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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Reverse row deletion

Definition

Let U be a standard tableau with distinct real entries (Tableaux and standard tableaux) and let b=(s,t) be a removable node of [shape⁡(U)] (so t=λs for λ=shape⁡(U)). The reverse row deletion U−b is the following procedure. Set i:=s and xs+1:=+∞ (a symbol larger than every real number). While i≥1: let j be the largest index with 1≤j≤λi and U(i,j)<xi+1 (for i=s this is j=λs=t, the box b), set xi:=U(i,j) and overwrite the entry of box (i,j) by xi+1 (for i=s this empties the box b); if i=1 stop, otherwise replace i by i−1 and repeat. The procedure terminates after exactly s row visits, since i strictly decreases and stops at 1. Its result is the filling V of [shape⁡(U)]∖{b} obtained by the overwrites, and the expelled letter is x1. We write (V,x1):=U−b.

The index j exists at every step, and V is a standard tableau, so the procedure is well defined. For existence: after a row i+1 has been processed, the carried letter xi+1 was the entry of the box (i+1,ji+1) before that box was overwritten, where ji+1 is the position used in row i+1; the box (i,ji+1) of the row above lies in the diagram, because ji+1≤λi+1≤λi, and by column strictness of U it carries an entry strictly smaller than xi+1; hence the set over which j is defined is nonempty, and it is finite, so j is well defined. For standardness of V: at the moment row i is processed it is still the unmodified row i of U, and j is the largest index with U(i,j)<xi+1, so U(i,j−1)<xi+1<U(i,j+1) when those neighbours exist, which keeps the row strictly increasing after the overwrite; the entry above the overwritten box is U(i−1,j)<U(i,j)<xi+1; and the entry below, U(i+1,j) after row i+1 has been processed, is larger than xi+1: if j=ji+1 it is the overwriting letter xi+2>xi+1, and if j>ji+1 it is the unchanged entry in column j of row i+1, which exceeds the unchanged entry U(i+1,ji+1)=xi+1 by row strictness. Thus all strict inequalities of a standard tableau hold in V. Finally, every entry of U other than x1 survives in V with multiplicity one: each row visit moves one entry upward into the box it overwrites and the single box b is emptied, so the multiset of entries of V is that of U with x1 deleted; in particular x1 is not an entry of V. No choice is used: the procedure is deterministic and all data are finite.

Depends on

Used by

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Sources