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The complexity of semidefinite programs for testing $k$-block-positivity

Qian Chen, Benoît Collins

Abstract

We extend \cite{chen2025srkbp} by analyzing the complexity of the $k$-block-positivity testing algorithm. In this paper, we investigate a symmetry reduction scheme based on rectangular shaped Young diagrams. Connecting the complexity to the dimensions of irreducible representations of $\mathrm{U}(d)$, we derive an explicit formula for the complexity, which also clarifies why the semidefinite program hierarchy collapses in the $k=d$ case.

The complexity of semidefinite programs for testing $k$-block-positivity

Abstract

We extend \cite{chen2025srkbp} by analyzing the complexity of the -block-positivity testing algorithm. In this paper, we investigate a symmetry reduction scheme based on rectangular shaped Young diagrams. Connecting the complexity to the dimensions of irreducible representations of , we derive an explicit formula for the complexity, which also clarifies why the semidefinite program hierarchy collapses in the case.
Paper Structure (23 sections, 14 theorems, 62 equations)

This paper contains 23 sections, 14 theorems, 62 equations.

Key Result

Theorem 1

Setting $N$ by $N+k-1=k n$ with integer $n$. The SDP complexity of the reduced SDP indexed by a rectangular Young diagram $(n^{k})$ is That is to say, the SDP complexity is $O(n^{k(d-k)})$ after symmetry reduction, compared with the unreduced one $O((kd)^{N+1})$.

Theorems & Definitions (30)

  • Theorem 1: The SDP complexity of rectangular scheme
  • Definition 2: Optimization: testing $k$-block-positivity
  • Definition 3: $k$-purification and dualization
  • Proposition 4
  • proof
  • Definition 5: Optimization: testing $k$-block-positivity via $k$-purification
  • Proposition 6
  • Definition 7: $k$-block-positivity testing SDP with $N$-Bose symmetric extension
  • Definition 8: Reduced SDP: ${\mathrm{U}}(k)$-symmetry
  • Proposition 9
  • ...and 20 more