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#P-hardness proofs of matrix immanants evaluated on restricted matrices

Istvan Miklos, Cordian Riener

TL;DR

This work investigates the #P-hardness of computing matrix immanants on restricted inputs, showing that broad families of immanants remain intractable even for structured matrices. The authors leverage the Murnaghan–Nakayama rule and border-strip tableaux to understand irreducible characters, and they construct intricate graph gadgets to reduce perfect-matchings counts in 3-regular bipartite (and planar) graphs to immanant evaluations. They prove #P-hardness for 0-1 adjacency matrices when the shape $\lambda$ contains a large domino-tileable region, and for edge-weighted planar directed graphs when $\lambda=(\mathbf{1}+\lambda_d)$ with $|\lambda_d|=n^{\varepsilon}$ and domino tiling properties; the reductions rely on careful cycle-structure control and interpolation over auxiliary parameters. The results enrich the landscape of restricted-input hardness for immanants and raise open questions about related objects such as fermionants, TL-immanants, and partition-algebra recombinants.

Abstract

We establish the $\#P$-hardness of computing a broad class of immanants, even when restricted to specific categories of matrices. Concretely, we prove that computing $λ$-immanants of $0$-$1$ matrices is $\#P$-hard whenever the partition~$λ$ contains a sufficiently large domino-tileable region, subject to certain technical conditions. We also give hardness proofs for some $λ$-immanants of weighted adjacency matrices of planar directed graphs, such that the shape $λ= (\mathbf{1} + λ_d)$ has size $n$ such that $|λ_d| = n^\varepsilon$ for some $0 < \varepsilon < \frac{1}{2}$, and such that for some $w$, the shape $λ_d/(w)$ is tileable with $1 \times 2$ dominos.

#P-hardness proofs of matrix immanants evaluated on restricted matrices

TL;DR

This work investigates the #P-hardness of computing matrix immanants on restricted inputs, showing that broad families of immanants remain intractable even for structured matrices. The authors leverage the Murnaghan–Nakayama rule and border-strip tableaux to understand irreducible characters, and they construct intricate graph gadgets to reduce perfect-matchings counts in 3-regular bipartite (and planar) graphs to immanant evaluations. They prove #P-hardness for 0-1 adjacency matrices when the shape contains a large domino-tileable region, and for edge-weighted planar directed graphs when with and domino tiling properties; the reductions rely on careful cycle-structure control and interpolation over auxiliary parameters. The results enrich the landscape of restricted-input hardness for immanants and raise open questions about related objects such as fermionants, TL-immanants, and partition-algebra recombinants.

Abstract

We establish the -hardness of computing a broad class of immanants, even when restricted to specific categories of matrices. Concretely, we prove that computing -immanants of - matrices is -hard whenever the partition~ contains a sufficiently large domino-tileable region, subject to certain technical conditions. We also give hardness proofs for some -immanants of weighted adjacency matrices of planar directed graphs, such that the shape has size such that for some , and such that for some , the shape is tileable with dominos.

Paper Structure

This paper contains 11 sections, 10 theorems, 45 equations, 3 figures.

Key Result

Theorem 1.4

Let $\lambda$ be a partition of an even integer $n$ of the form where $|\lambda_d| = n^{\varepsilon}$ for some $0 < \varepsilon$, the shape $\lambda_d$ admits a $1 \times 2$ domino tiling, and Then it is #P-hard to compute the $\lambda$-immanant of a $0$-$1$ matrix that is the adjacency matrix of a bipartite directed graph. The same hardness result holds for the conjugate partition $\lambda^*$.

Figures (3)

  • Figure 1: The graph gadget replacing each vertex in a $3$-regular graph. See Construction \ref{['const:1']} for details.
  • Figure 2: The match gadget replacing each edge in a planar graph. See the Construction \ref{['const:2']} for details
  • Figure 3: The vertex covering gadget attached to each vertex of a planar graph. See Construction \ref{['const:2']} for details.

Theorems & Definitions (34)

  • Definition 1
  • Definition 2
  • Remark 1
  • Example 1.1
  • Definition 3
  • Definition 4
  • Definition 5
  • Example 1.2
  • Definition 6
  • Example 1.3
  • ...and 24 more