On convex complexity measures

被引:6
|
作者
Hrubes, P. [2 ]
Jukna, S. [3 ,4 ]
Kulikov, A. [5 ]
Pudlak, P. [1 ]
机构
[1] Math Inst, Prague 11567, Czech Republic
[2] Inst Adv Study, Sch Math, Princeton, NJ 08540 USA
[3] Inst Math & Comp Sci, Vilnius, Lithuania
[4] Goethe Univ Frankfurt, Inst Informat, D-6000 Frankfurt, Germany
[5] VA Steklov Math Inst, St Petersburg 191011, Russia
关键词
Boolean formula; Complexity measure; Combinatorial rectangle; Convexity; Rank; Matrix norm; SIZE LOWER BOUNDS; COMMUNICATION COMPLEXITY;
D O I
10.1016/j.tcs.2010.02.004
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Khrapchenko's classical lower bound n(2) on the formula size of the parity function f can be interpreted as designing a suitable measure of sub-rectangles of the combinatorial rectangle f(-1)(0) x f(-1)(1). Trying to generalize this approach we arrived at the concept of convex measures. We prove the negative result that convex measures are bounded by O(n(2)) and show that several measures considered for proving lower bounds on the formula size are convex. We also prove quadratic upper bounds on a class of measures that are not necessarily convex. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:1842 / 1854
页数:13
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