Randomized Query Complexity of Sabotaged and Composed Functions
نویسندگان
چکیده
We study the composition question for bounded-error randomized query complexity: Is R(f ◦ g) = Ω(R(f)R(g)) for all Boolean functions f and g? We show that inserting a simple Boolean function h, whose query complexity is only Θ(logR(g)), in between f and g allows us to prove R(f ◦ h ◦ g) = Ω(R(f)R(h)R(g)). We prove this using a new lower bound measure for randomized query complexity we call randomized sabotage complexity, RS(f). Randomized sabotage complexity has several desirable properties, such as a perfect composition theorem, RS(f ◦ g) ≥ RS(f) RS(g), and a composition theorem with randomized query complexity, R(f ◦ g) = Ω(R(f) RS(g)). It is also a quadratically tight lower bound for total functions and can be quadratically superior to the partition bound, the best known general lower bound for randomized query complexity. Using this technique we also show implications for lifting theorems in communication complexity. We show that a general lifting theorem for zero-error randomized protocols implies a general lifting theorem for bounded-error protocols.
منابع مشابه
Lifting randomized query complexity to randomized communication complexity
We show that for any (partial) query function f : {0, 1} → {0, 1}, the randomized communication complexity of f composed with Indexm (with m = poly(n)) is at least the randomized query complexity of f times log n. Here Indexm : [m] × {0, 1} → {0, 1} is defined as Indexm(x, y) = yx (the xth bit of y). Our proof follows on the lines of Raz and Mckenzie [RM99] (and its generalization due to [GPW15...
متن کاملQuery Complexity in Expectation
We study the query complexity of computing a function f : {0, 1} → R+ in expectation. This requires the algorithm on input x to output a nonnegative random variable whose expectation equals f(x), using as few queries to the input x as possible. We exactly characterize both the randomized and the quantum query complexity by two polynomial degrees, the nonnegative literal degree and the sum-ofsqu...
متن کاملOn Randomized and Quantum Query Complexities
We study randomized and quantum query (a.k.a. decision tree) complexity for all total Boolean functions, with emphasis to derandomization and dequantization (removing quantumness from algorithms). Firstly, we show that D(f) = O(Q1(f) ) for any total function f , where D(f) is the minimal number of queries made by a deterministic query algorithm and Q1(f) is the number of queries made by any qua...
متن کاملAverage/Worst-Case Gap of Quantum Query Complexities by On-Set Size
This paper considers the query complexity of the functions in the family FN,M of N -variable Boolean functions with onset size M , i.e., the number of inputs for which the function value is 1, where 1 ≤ M ≤ 2N/2 is assumed without loss of generality because of the symmetry of function values, 0 and 1. Our main results are as follows: • There is a super-linear gap between the average-case and wo...
متن کاملQuery Complexity of Matroids
Let M be a bridgeless matroid on ground set {1, . . . , n} and fM : {0, 1} → {0, 1} be the indicator function of its independent sets. A folklore fact is that fM is evasive, i.e., D(fM) = n where D(f) denotes the deterministic decision tree complexity of f. Here we prove query complexity lower bounds for fM in three stronger query models: (a) D⊕(fM) = Ω(n), where D⊕(f) denotes the parity decisi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Electronic Colloquium on Computational Complexity (ECCC)
دوره 23 شماره
صفحات -
تاریخ انتشار 2016