Complexity Lower Bounds for Computation Trees with ElementaryTranscendental Function
نویسندگان
چکیده
We consider computation trees which admit as gate functions along with the usual arithmetic operations also algebraic or transcendental functions like exp; log; sin; square root (deened in the relevant domains) or much more general, Pfaaan functions. A new method for proving lower bounds on the depth of these trees is developed which allows to prove a lower bound (p logN) for testing membership to a convex polyhedron with N facets of all dimensions, provided that N is large enough. This method diiers essentially from the approaches adopted for algebraic computation 1 Pfaaan computation trees We consider the following computation model, a generalization of the algebraic computation trees (see, e.g., 1], 26]). Deenition 1. Pfaaan computation tree T is a tree at every node v of which a Pfaaan function f v in variables X 1 ; : : :; X n is attached, which satisses the following properties. Let f v0 ; : : :; f vl ; f vl+1 = f v be the functions attached to all the nodes along the branch T v of T leading from the root v 0 to v l+1 = v. We assume that the Pfaaan function f v satisses the following diierential equation (see 20]): df v = where g v;j are polynomials with real coeecients. The tree T branches at v to its three sons according to the sign of f v (cf. 1]). Thereby, to each node v one can assign (by induction on the depth l + 1 of v) a set U v R n consisting of all the points for which the sign conditions for the functions f v0 ; : : :; f vl along the branch T v are valid. Thus, at the induction step, one assigns to three sons of v the sets U v \ ff v > 0g; U v \ ff v = 0g; U v \ ff v < 0g; respectively. We assume also that the function f v is real analytic in U v. To each leaf w of T an output \yes" or \no" is assigned, we call the set U w accepting set if to w \yes" is assigned. We say that T tests the membership problem to the union of all accepting sets (sf. 1]). Taking polynomials as the gate functions f v in T , we come to the algebraic computation trees. The …
منابع مشابه
Complexity Lower Bounds for Computation Trees with Elementary Transcendental Function Gates
We consider computation trees which admit as gate functions along with the usual arithmetic operations also algebraic or transcendental functions like exp, log, sin, square root (defined in the relevant domains) or much more general, Pfaffian functions. A new method for proving lower bounds on the depth of these trees is developed which allows to prove a lower bound Ω( √ logN) for testing membe...
متن کاملLower Bounds Using Kolmogorov Complexity
In this paper, we survey a few recent applications of Kolmogorov complexity to lower bounds in several models of computation. We consider KI complexity of Boolean functions, which gives the complexity of finding a bit where inputs differ, for pairs of inputs that map to different function values. This measure and variants thereof were shown to imply lower bounds for quantum and randomized decis...
متن کاملComplexity Lower Bounds for Approximation Algebraic Computation Trees
We prove lower bounds for approximate computations of piecewise polynomial functions which, in particular, apply for round-oo computations of such functions. The goal of this paper is to prove lower bounds for approximated computations. As it is customary for lower bounds, we consider some form of algebraic tree as our computational model (cf. B urgisser, Clausen, and Shokrollahi 1996] or Blum,...
متن کاملSeparating Decision Tree Complexity from Subcube Partition Complexity
The subcube partition model of computation is at least as powerful as decision trees but no separation between these models was known. We show that there exists a function whose deterministic subcube partition complexity is asymptotically smaller than its randomized decision tree complexity, resolving an open problem of Friedgut, Kahn, and Wigderson (2002). Our lower bound is based on the infor...
متن کاملProperty Testing Bounds for Linear and Quadratic Functions via Parity Decision Trees
In this paper, we study linear and quadratic Boolean functions in the context of property testing. We do this by observing that the query complexity of testing properties of linear and quadratic functions can be characterized in terms of complexity in another model of computation called parity decision trees. The observation allows us to characterize testable properties of linear functions in t...
متن کامل