Positivity of the Symmetric Group Characters is as Hard as the Polynomial Time Hierarchy
Statement
The problem COMPUTECHARBINARY is GapP-complete under many-one reductions.
Context
Candidate 1 of the open problems stated in "Positivity of the Symmetric Group Characters is as Hard as the Polynomial Time Hierarchy", extracted for the Scalable Mathematical Discovery run.
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NEW
Problem: Reconstructed statement: let
COMPUTECHARBINARYbe the integer-valued function which, on input two partitions written as binary lists of parts, outputs the irreducible symmetric-group character value , where denotes cycle type. The conjecture asserts that this function is GapP-complete under exact polynomial-time many-one reductions: for every there is a polynomial-time map withThis is the natural reading of Ikenmeyer–Pak–Panova, §5.3; their v2 labels it Conjecture 5.2 rather than 5.3.2. Exact many-one is stronger than metric/Turing reduction, so proving this resolves the stated conjecture.
Result: The conjecture is true.
Key known gadget from Ikenmeyer–Pak–Panova, Prop. 4.5: for every pair of nonnegative integer sequences with
one can compute in polynomial time partitions such that
where is the number of ordered set partitions of items of sizes into bins of sizes .
First, membership in GapP follows from Frobenius/Jacobi–Trudi:
For each , : guess the bin of each part of and verify binary sums. Splitting the sum by the sign of gives a difference of two functions.
For hardness, use the standard parsimonious -completeness of . Thus the gap problem
is GapP-complete. Pad by forced edges so both lie in , with the same , without changing their numbers of perfect matchings.
Let , choose , and encode each edge by a high-base code with ones in the three vertex coordinates. Let be the code with ones in all vertex coordinates. Choose a modulus larger than all possible low-order residue sums.
Create weights :
plus two selector weights and , and one huge filler weight in a new high coordinate. Put
A residue check gives:
and there are no subsets summing to . Indeed, any subset summing near must have high code , hence exactly selected edge-items. If it uses the first selector, the low residue equals only when all edges come from ; if it uses the second selector, the low residue equals only when all edges come from . The choice excludes the nearby unwanted residues.
Now set
Then and , so . Also all entries are positive.
In , the bins of sizes and are forced to contain the items and . The remaining small items are . The bin of size can only use the small item , because the alternatives would require subset sums , which do not occur. Hence
Similarly, in , the first two bins force items , leaving . The bin can only use the small item , giving subset sum ; the other alternatives require , impossible. Thus
By the character gadget,
Therefore the GapP-complete function exact-many-one reduces to
COMPUTECHARBINARY. Together with membership,COMPUTECHARBINARYis GapP-complete under many-one reductions.Verification audit: the reduction outputs valid binary-encoded partitions; all numerical parameters have polynomial bitlength; padding of instances is count-preserving; the proof gives exact equality, not merely sign preservation or Turing reduction. Thus it proves the reconstructed conjecture as stated.
Citation: Uses Ikenmeyer–Pak–Panova, “Positivity of the symmetric group characters is as hard as the polynomial time hierarchy,” IMRN 2024 / arXiv:2207.05423, especially Prop. 4.5 and §5.3. Uses the standard parsimonious -completeness of , as recalled in their §3.2.
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Machine check · not human verification
machine: correctscope Full solution as submitted; SMD novelty classification TYPE2
PASS
The proof attacks the correct ComputeCharBinary many-one statement. The membership argument via Frobenius/Jacobi–Trudi is valid for binary list inputs. The hardness construction gives an exact parsimonious reduction from the GapP-complete difference of two #3DM instances: the high-base subset-sum gadget separates the two counts at targets and , excludes the neighboring sums needed by the gadget, and Proposition 4.5 then converts the resulting difference into a single symmetric-group character value. The size and encoding checks are polynomial, and the equality is exact, not merely sign/Turing.
Novelty assessment
TYPE2
Classification rationale: The result appears genuinely new and resolves an explicit conjecture of Ikenmeyer–Pak–Panova, strengthening their GapP-completeness from Turing reductions to exact many-one reductions. It is a technical but nontrivial complexity-theoretic improvement, plausibly publishable as a short standalone note. It is not broad or major enough for TYPE3.
Literature check: I found no existing proof of the many-one GapP-completeness statement. The current arXiv/IMRN version of Ikenmeyer–Pak–Panova still states this as Conjecture 5.2, after proving only Turing-reduction GapP-completeness in Theorem 5.1. Prior work of Hepler gives #P-hardness under many-one reductions, which is weaker. Searches for “ComputeCharBinary”, “GapP-complete under many-one reductions”, and related symmetric-group-character complexity terms in arXiv/metadata pages, OpenAlex, alphaXiv/SciRate, GitHub/issues, and accessible web sources did not reveal a stronger or equivalent published result.
Citation: Christian Ikenmeyer, Igor Pak, Greta Panova, “Positivity of the symmetric group characters is as hard as the polynomial time hierarchy,” IMRN 2024, arXiv:2207.05423, Theorem 5.1 and Conjecture 5.2. Also: C. T. Hepler, “On the complexity of computing characters of finite groups,” PhD thesis, University of Calgary, 1994.
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