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PreprintCC BY 4.0arXiv

Dimensions of permanental varieties in arbitrary size

Abstract

Let Ih(a,b) be the ideal generated by the h× h permanents of a generic a× b matrix over a field of characteristic different from two. We prove that dim K[X]/Ih(a,b)=max(a,b)(h−1) whenever 1≤ h≤min(a,b) and h<max(a,b). Consequently, the critical locus of the permanent of order n has codimension 2n for every n≥ 2. We also prove that the maximal permanents of a generic k×(k+1) matrix generate a geometrically reduced complete intersection. The dimension argument uses a pivot expansion and cubic relations in the border variables. Two successive comparisons with highest-degree equations reduce the relevant fibers to a coordinate-support calculation. Reducedness follows from a separate regular-sequence argument and a dimension estimate excluding components over the exceptional locus.

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BibTeX
@misc{xie2026dimensions,
  title = {{Dimensions of permanental varieties in arbitrary size}},
  author = {Ying Xie},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.27320},
  eprint = {2609.27320},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.27320},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Dimensions of permanental varieties in arbitrary size
AU  - Ying Xie
PY  - 2026
DA  - 2026/09/23
PB  - arXiv
DO  - 10.48550/arxiv.2609.27320
UR  - https://arxiv.org/abs/2609.27320
AB  - Let I_h(a,b) be the ideal generated by the h× h permanents of a generic a× b matrix over a field of characteristic different from two. We prove that dim K[X]/I_h(a,b)=max(a,b)(h−1) whenever 1≤ h≤min(a,b) and h<max(a,b). Consequently, the critical locus of the permanent of order n has codimension 2n for every n≥ 2. We also prove that the maximal permanents of a generic k×(k+1) matrix generate a geometrically reduced complete intersection. The dimension argument uses a pivot expansion and cubic relations in the border variables. Two successive comparisons with highest-degree equations reduce the relevant fibers to a coordinate-support calculation. Reducedness follows from a separate regular-sequence argument and a dimension estimate excluding components over the exceptional locus.
ER  -