Average and Randomized Communication Complexity
نویسنده
چکیده
42 and transmits the index of the set that contains x. By the model assumption he doesn't need to transmit which partition was picked. P Y then, transmits 1 if y belongs to the same set in the partition and 0 otherwise. The number of bits transmitted is 1 + dlog n b1+2(n?1)c e. The error probability is clearly 0 if x = y and, by symmetry or a more cumbersome argument, at most 2 for x 6 = y. As mentioned before, the protocol relies heavily on the assumption that the random experiment is shared by P X and P Y. There are far more than n partitions of f0; ::; n?1g into sets of size 1 + 2(n ? 1). Thus, if P X has to specify which one he uses, more than log n + 1 bits must be transmitted. In fact, it is stated in 2] that under the separation of random sources assumption, ^ C R (equ; ^) = (log log n). We note that for the equality function worst case and average errors yield similar complexities.
منابع مشابه
Average and randomized communication complexity
The communication complexity of a two-variable function f (x , y) is the number of information bits two communicators need to exchange to compute f when, initially, each knows only one of the variables. There are several communication-complexity measures corresponding to whether 1) the worst case or average number of bits is considered, 2) computation errors are allowed or not, and 3) randomiza...
متن کاملRandomized Communication Complexity of Approximating Kolmogorov Complexity
The paper [Harry Buhrman, Michal Koucký, Nikolay Vereshchagin. Randomized Individual Communication Complexity. IEEE Conference on Computational Complexity 2008: 321-331] considered communication complexity of the following problem. Alice has a binary string x and Bob a binary string y, both of length n, and they want to compute or approximate Kolmogorov complexity C(x|y) of x conditional to y. ...
متن کاملDirect Sums in Randomized Communication Complexity
We prove a direct sum theorem for randomized communication complexity. Ignoring logarithmic factors, our results show that: • Computing n copies of a function requires √n times the communication. • For average case complexity, given any distribution μ on inputs, computing n copies of the function on n independent inputs sampled according to μ requires √ n times the communication for computing o...
متن کاملLecture Notes on Evasiveness of Graph Properties
These notes cover the first eight lectures of the class Many Models of Complexity taught by László Lovász at Princeton University in the Fall of 1990. The first eight lectures were on evasiveness of graph properties and related topics; subsequent lectures were on communication complexity and Kolmogorov complexity and are covered in other sets of notes. The fundamental question considered in the...
متن کاملStrong direct product conjecture holds for all relations in public coin randomized one-way communication complexity
Let f ⊆ X × Y × Z be a relation. Let the public coin one-way communication complexity of f , with worst case error 1/3, be denoted R 1/3 (f). We show that if for computing fk (k independent copies of f), o(k ·R 1/3 (f)) communication is provided, then the success is exponentially small in k. This settles the strong direct product conjecture for all relations in public coin one-way communication...
متن کاملAverage-Consensus Algorithms in a Deterministic Framework
We consider the average-consensus problem in a multi-node network of finite size. Communication between nodes is modeled by a sequence of directed signals with arbitrary communication delays. Four distributed algorithms that achieve average-consensus are proposed. Necessary and sufficient communication conditions are given for each algorithm to achieve average-consensus. Resource costs for each...
متن کاملذخیره 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 1990