DocumentCode :
2529571
Title :
The shortest vector in a lattice is hard to approximate to within some constant
Author :
Micciancio, Daniele
Author_Institution :
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
fYear :
1998
fDate :
8-11 Nov 1998
Firstpage :
92
Lastpage :
98
Abstract :
We show the shortest vector problem in the l2 norm is NP-hard (for randomized reductions) to approximate within any constant factor less than √2. We also give a deterministic reduction under a reasonable number theoretic conjecture. Analogous results hold in any lp 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
Keywords :
computational complexity; randomised algorithms; NP-hard; NP-hardness; deterministic reduction; randomized reductions; shortest vector; shortest vector problem; Computer science; Contracts; Electronic switching systems; Laboratories; Lattices; Linear programming; Mathematics; Polynomials; Reactive power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1998. Proceedings. 39th Annual Symposium on
Conference_Location :
Palo Alto, CA
ISSN :
0272-5428
Print_ISBN :
0-8186-9172-7
Type :
conf
DOI :
10.1109/SFCS.1998.743432
Filename :
743432
Link To Document :
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