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Intersection Non-emptiness and Hardness Within Polynomial Time

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Developments in Language Theory (DLT 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11088))

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Abstract

We establish strong connections between the non-emptiness of intersection problem for two and three DFA’s over a binary alphabet and the triangle finding and 3sum problems. In particular, we introduce efficient reductions from triangle finding to non-emptiness of intersection for two DFA’s over a binary alphabet and from 3sum to non-emptiness of intersection for three DFA’s over a binary alphabet. Additionally, in our main result, we show that for every \(\alpha \ge 2\), non-emptiness of intersection for three DFA’s over a unary alphabet can be solved in \(O(n^{\frac{\alpha }{2}})\) time if and only if triangle finding can be solved in \(O(n^{\alpha })\) time.

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Notes

  1. 1.

    See related results in [3, 6].

  2. 2.

    Additional hardness results were shown in [3].

  3. 3.

    Each path corresponds with an ordered pair of vertices where the underlying vertices are adjacent in G.

  4. 4.

    This follows because \(m = O(n^2)\) for all graphs with n vertices and m edges.

  5. 5.

    This intuition was communicated to the second author from Michael Blondin.

  6. 6.

    The segment may be empty.

  7. 7.

    Zero is permitted to have either sign.

  8. 8.

    The authors would especially like the thank Joseph Swernofsky for advice and feedback that helped in obtaining this result as well as Ronald Fagin for some early feedback and encouragement.

  9. 9.

    Such integers exist because for every n, there exist powers of 2, 3, and 5 in [n, 5n].

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de Oliveira Oliveira, M., Wehar, M. (2018). Intersection Non-emptiness and Hardness Within Polynomial Time. In: Hoshi, M., Seki, S. (eds) Developments in Language Theory. DLT 2018. Lecture Notes in Computer Science(), vol 11088. Springer, Cham. https://doi.org/10.1007/978-3-319-98654-8_23

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  • DOI: https://doi.org/10.1007/978-3-319-98654-8_23

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