Depth lower bound for matching
نویسندگان
چکیده
Definition 2.1. Let f : X × Y → V . A subset R of X × Y is a rectangle1 if it is of the form A × B for some A ⊆ X and B ⊆ Y . The rectangle R is said to be monochromatic (wrt. f) if f is constant on R. A monochromatic rectangle R is a 0-rectangle if f(R) = {0}; it is a 1-rectangle if f(R) = {1}. Observation 2.2. A subset S of X × Y is a rectangle iff for all x, x′ ∈ X and y, y′ ∈ Y (x, x′) ∈ S and (y, y′) ∈ S implies (x, y′) ∈ S and (x′, y) ∈ S. Observation 2.3. Any deterministic protocol P on X×Y induces a partition of X×Y . If P computes a function f : X × Y → {0, 1}, then the rectangles of this partition are 0and 1-rectangles. There is one such rectangle for each leaf of P . Similarly, a non-deterministic protocol for f induces a set of 1-rectangles of f whose union (and not necessarily a partition) is f−1(1).
منابع مشابه
Detecting Patterns Can Be Hard: Circuit Lower Bounds for the Pattern Matching Problem
Detecting patterns in strings and images is a fundamental and widely studied problem. Motivated by the proliferation of specialized circuits in pattern recognition tasks, we study the circuit complexity of pattern matching under two popular choices of gates: De Morgan and threshold gates. For strings of length n and patterns of length log n k ≤ n− o(n), we prove super polynomial lower bounds fo...
متن کاملDetecting Patterns Can Be Hard: Circuit Lower Bounds for the String Matching Problem
Detecting patterns in strings and images is a fundamental and well studied problem. We study the circuit complexity of the string matching problem under two popular choices of gates: De Morgan and threshold gates. For strings of length n and patterns of length log n k ≤ n− o(n), we prove super polynomial lower bounds for De Morgan circuits of depth 2, and nearly linear lower bounds for depth 2 ...
متن کاملAn Exponential Separation between the Matching Principle and the Pigeonhole Principle
The combinatorial matching principle states that there is no perfect matching on an odd number of vertices. This principle generalizes the pigeonhole principle, which states that for a fixed bipartition of the vertices, there is no perfect matching between them. Therefore, it follows from recent lower bounds for the pigeonhole principle that the matching principle requires exponential-size boun...
متن کاملAn Exponential Separation between the Matching Principleand
The combinatorial matching principle states that there is no perfect matching on an odd number of vertices. This principle generalizes the pigeonhole principle, which states that for a xed bi-partition of the vertices, there is no perfect matching between them. Therefore , it follows from recent lower bounds for the pigeonhole principle that the matching principle requires exponential-size boun...
متن کامل0 ◦ MOD 2 Lower Bounds for the Boolean Inner Product ∗
AC0 ◦MOD2 circuits are AC0 circuits augmented with a layer of parity gates just above the input layer. We study AC0 ◦MOD2 circuit lower bounds for computing the Boolean Inner Product functions. Recent works by Servedio and Viola (ECCC TR12-144) and Akavia et al. (ITCS 2014) have highlighted this problem as a frontier problem in circuit complexity that arose both as a first step towards solving ...
متن کاملA lower bound for computing Oja depth
Let S = {s1, . . . , sn} be a set of points in the plane. The Oja depth of a query point θ with respect to S is the sum of the areas of all triangles (θ, si, sj). This depth may be computed in O(n log n) time in the RAM model of computation. We show that a matching lower bound holds in the algebraic decision tree model. This bound also applies to the computation of the Oja gradient, the Oja sig...
متن کامل