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Effective Versions of the Chain Decomposition Theorem

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The Dilworth Theorems

Part of the book series: Contemporary Mathematicians ((CM))

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Abstract

Because of the central role Dilworth’s decomposition theorem plays in the structure theory of (partially) ordered sets, it is important to consider it from a computational point of view. The theorem is proved in two steps. The first step is to prove the result for finite ordered sets. Dilworth’s original proof in [1] of the finite result is constructive, but the notion of computational complexity is not addressed. In 1956, Fulkerson [2] gave a network flow proof of Dilworth’s theorem. This proof allows the calculation of a Dilworth decomposition using any of the fast network flow algorithms. In particular, a decomposition can be calculated in O(n 3) time using the network flow algorithms in [3] or [8].

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References

  1. R.P. Dilworth, A decomposition theorem for partially ordered sets, Ann. of Math. (2) 51 (1950), 161–166. Reprinted in Chapter 1 of this volume.

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  2. D.R. Fulkerson, Note on Dilworth’s decomposition theorem for partially ordered sets, Proc. Amer. Math. Soc. 7 (1956), 701–702.

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  5. H.A. Kierstead, A polynomial time approximation algorithm for Dynamic Storage Allocation.

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  7. H.A. Kierstead and W.T. Trotter, An extremal problem in recursive combinatorics, Congressus Numerantium 33 (1981), 143–153.

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  8. V.M. Malhotra, M.P. Kumar, and S.N. Maheshwari, An O(v 3) algorithm for finding maximum flows in networks, Information Proc. Letters 7 (1978), 277–278.

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  9. E. Szemerédi and W.T. Trotter, private communication.

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© 1990 Springer Science+Business Media New York

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Kierstead, H. (1990). Effective Versions of the Chain Decomposition Theorem. In: Bogart, K.P., Freese, R., Kung, J.P.S. (eds) The Dilworth Theorems. Contemporary Mathematicians. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4899-3558-8_5

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  • DOI: https://doi.org/10.1007/978-1-4899-3558-8_5

  • Publisher Name: Birkhäuser, Boston, MA

  • Print ISBN: 978-1-4899-3560-1

  • Online ISBN: 978-1-4899-3558-8

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