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Dehomogenization for completely positive tensors

  • Suhan Zhong

    Suhan Zhong

Jiawang Nie and Suhan Zhong are partially supported by NSF grant DMS-2110780

Abstract Full Text(HTML) Figure(0) / Table(2) Related Papers Cited by
  • A real symmetric tensor is completely positive (CP) if it is a sum of symmetric tensor powers of nonnegative vectors. We propose a dehomogenization approach for studying CP tensors. This gives new Moment-SOS relaxations for CP tensors. Detection for CP tensors and the linear conic optimization with CP tensor cones can be solved more efficiently by the dehomogenization approach.

    Mathematics Subject Classification: Primary: 90C23, 15A69, 44A60, 90C22.

    Citation:

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  • Table 1.  Comparison of some dimensions

    (n, k) $ \binom{n+2k}{2k} $ $ \binom{n-1+2k}{2k} $ $ \binom{n+k}{k} $ $ \binom{n-1+k}{k} $
    (2, 2) 15 5 6 3
    (2, 3) 28 7 10 4
    (2, 4) 45 9 15 5
    (3, 2) 35 15 10 6
    (3, 3) 84 28 20 10
    (3, 4) 165 45 35 15
    (4, 2) 70 35 15 10
    (4, 3) 210 84 35 20
    (4, 4) 495 165 70 35
    (5, 2) 126 70 21 15
    (5, 3) 462 210 56 35
    (5, 4) 1287 495 126 70
     | Show Table
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    Table 2.  Comparison between relaxations (28) and (34)

    With Dehomogenization
    Relaxation (28)
    No Dehomogenization
    Relaxation (34)
    Example time accuracy order time accuracy order
    5.1(A) 1.03 $ 1.38\cdot 10^{-6} $ 3 2.77 $ 1.71\cdot 10^{-6} $ 3
    5.1(B) 0.52 $ 1.97\cdot 10^{-6} $ 2 0.39 $ 2.05\cdot 10^{-6} $ 2
    5.1(C) 0.11 not CP 2 0.14 not CP 2
    5.2 (ⅰ) 0.22 not CP 4 0.58 not CP 4
    5.2(ⅱ) 0.49 $ 4.13\cdot 10^{-6} $ 3 1.05 $ 1.54\cdot 10^{-6} $ 3
    5.3 (ⅰ) 2.22 $ 4.96\cdot 10^{-6} $ 3 2.44 $ 5.51\cdot 10^{-6} $ 3
    5.3(ⅱ) 1.48 $ 9.17\cdot 10^{-8} $ 3 2.14 $ 2.10\cdot 10^{-5} $ 4
    5.4 3.77 $ 1.06\cdot 10^{-9} $ 6 36.69 $ 5.54\cdot 10^{-6} $ 6
     | Show Table
    DownLoad: CSV
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