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39th Annual Symposium on Foundations of Computer Science
The Shortest Vector in a Lattice is Hard to Approximate to within Some Constant
Palo Alto, California
November 08-November 11
ISBN: 0-8186-9172-7
Daniele Micciancio, Massachusetts Institute of Technology
We show the shortest vector problem in the l_2 norm is NP-hard (for randomized reductions) to approximate within any constant factor less than sqrt(2). We also give a deterministic reduction under a reasonable number theoretic conjecture. Analogous results hold in any l_p norm (p>=1). In proving our NP-hardness result, we give an alternative construction satisfying Ajtai's probabilistic variant of Sauer's lemma, that greatly simplifies Ajtai's original proof.
Index Terms:
shortest vector problem, lattices, non-approximability, Sauer's lemma
Citation:
Daniele Micciancio, "The Shortest Vector in a Lattice is Hard to Approximate to within Some Constant," focs, pp.92, 39th Annual Symposium on Foundations of Computer Science, 1998
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