Hardness of Lattice Problems in `p Norm

نویسندگان

  • Subhash Khot
  • Nisheeth K. Vishnoi
چکیده

We show that for any integer p ≥ 46, the Shortest Vector Problem in `p norm is hard to approximate within factor (4/3)1−45.7/p. We also show a hardness factor of (3/2)1−111.7/p for p ≥ 112. As p grows, these factors approach 4/3 and 3/2 respectively. Both results hold under the assumption NP 6⊆ ZPP. We give a very simple reduction from known hardness results for Hypergraph Independent Set Problem. For certain range of values of p, our results improve upon the hardness factors of 2− δ and p1−δ due to Micciancio [22] and Khot [14] respectively. We hope that our line of work would eventually give a simple proof of hardness of SVP in `2 norm. In the spirit of proving hardness results for lattice problems in `p norms, we also show that an important variant of SVP, the Unique Shortest Vector Problem, is NP-Hard (under randomized reductions) for p ≥ 1. This generalizes a result of Kumar and Sivakumar [16], who showed this for p = 2.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Unique Shortest Vector Problem for max norm is NP-hard

The unique Shortest vector problem (uSVP) in lattice theory plays a crucial role in many public-key cryptosystems. The security of those cryptosystems bases on the hardness of uSVP. However, so far there is no proof for the proper hardness of uSVP even in its exact version. In this paper, we show that the exact version of uSVP for `∞ norm is NP-hard. Furthermore, many other lattice problems inc...

متن کامل

The Hardness of Approximate Optima in Lattices , Codes , and Systems of Linear

We prove the following about the Nearest Lattice Vector Problem (in any`p norm), the Nearest Codeword Problem for binary codes, the problem of learning a halfspace in the presence of errors, and some other problems. 1. Approximating the optimum within any constant factor is NP-hard. 2. If for some > 0 there exists a polynomial-time algorithm that approximates the optimum within a factor of 2 lo...

متن کامل

The Hardness of Approximate Optimia in Lattices, Codes, and Systems of Linear Equations

We prove the following about the Nearest Lattice Vector Problem (an any e, norm), the Nearest Codeword Problem for binary codes, the problem of learning a halfspace in the presence of errors, and some other problems. 1. Approximating the optimum within any constant factor is NP-hard. 2. If for some 6 > 0 there exists a polynomial t ime algorithm that approximates the optimum within a factor of ...

متن کامل

On the hardness of the shortest vector problem

An n-dimensional lattice is the set of all integral linear combinations of n linearly independent vectors in ' tm. One of the most studied algorithmic problems on lattices is the shortest vector problem (SVP): given a lattice, find the shortest non-zero vector in it. We prove that the shortest vector problem is NP-hard (for randomized reductions) to approximate within some constant factor great...

متن کامل

The Shortest Vector in a Lattice is Hard to Approximate to Within Some Constant

We show the shortest vector problem in the l2 norm is NP-hard (for randomized reductions) to approximate within any constant factor less than p2. 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 Saue...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003