The complexity of computing Kronecker coefficients

Kronecker coefficients are the multiplicities in the tensor product decomposition of two irreducible representations of the symmetric group $S_n$. They can also be interpreted as the coefficients of the expansion of the internal product of two Schur polynomials in the basis of Schur polynomials. We...

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Main Authors: Peter Bürgisser, Christian Ikenmeyer
Format: Article
Language:English
Published: Discrete Mathematics & Theoretical Computer Science 2008-01-01
Series:Discrete Mathematics & Theoretical Computer Science
Subjects:
Online Access:https://dmtcs.episciences.org/3622/pdf
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author Peter Bürgisser
Christian Ikenmeyer
author_facet Peter Bürgisser
Christian Ikenmeyer
author_sort Peter Bürgisser
collection DOAJ
description Kronecker coefficients are the multiplicities in the tensor product decomposition of two irreducible representations of the symmetric group $S_n$. They can also be interpreted as the coefficients of the expansion of the internal product of two Schur polynomials in the basis of Schur polynomials. We show that the problem $\mathrm{KRONCOEFF}$ of computing Kronecker coefficients is very difficult. More specifically, we prove that $\mathrm{KRONCOEFF}$ is #$\mathrm{P}$-hard and contained in the complexity class $\mathrm{GapP}$. Formally, this means that the existence of a polynomial time algorithm for $\mathrm{KRONCOEFF}$ is equivalent to the existence of a polynomial time algorithm for evaluating permanents.
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spelling doaj.art-6aff6268091a48d9b7b867857991775f2024-03-07T14:38:06ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1365-80502008-01-01DMTCS Proceedings vol. AJ,...Proceedings10.46298/dmtcs.36223622The complexity of computing Kronecker coefficientsPeter Bürgisser0Christian Ikenmeyer1Mathematisches Institut der Universität PaderbornMathematisches Institut der Universität PaderbornKronecker coefficients are the multiplicities in the tensor product decomposition of two irreducible representations of the symmetric group $S_n$. They can also be interpreted as the coefficients of the expansion of the internal product of two Schur polynomials in the basis of Schur polynomials. We show that the problem $\mathrm{KRONCOEFF}$ of computing Kronecker coefficients is very difficult. More specifically, we prove that $\mathrm{KRONCOEFF}$ is #$\mathrm{P}$-hard and contained in the complexity class $\mathrm{GapP}$. Formally, this means that the existence of a polynomial time algorithm for $\mathrm{KRONCOEFF}$ is equivalent to the existence of a polynomial time algorithm for evaluating permanents.https://dmtcs.episciences.org/3622/pdfrepresentations of symmetric groupstensor productskronecker coefficientscomputational complexity[math.math-co] mathematics [math]/combinatorics [math.co][info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
spellingShingle Peter Bürgisser
Christian Ikenmeyer
The complexity of computing Kronecker coefficients
Discrete Mathematics & Theoretical Computer Science
representations of symmetric groups
tensor products
kronecker coefficients
computational complexity
[math.math-co] mathematics [math]/combinatorics [math.co]
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
title The complexity of computing Kronecker coefficients
title_full The complexity of computing Kronecker coefficients
title_fullStr The complexity of computing Kronecker coefficients
title_full_unstemmed The complexity of computing Kronecker coefficients
title_short The complexity of computing Kronecker coefficients
title_sort complexity of computing kronecker coefficients
topic representations of symmetric groups
tensor products
kronecker coefficients
computational complexity
[math.math-co] mathematics [math]/combinatorics [math.co]
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
url https://dmtcs.episciences.org/3622/pdf
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