This thesis is a study of separations of some complexity classes which take place in almost all relativized worlds. We achieve probability one separations of PSPACE from the Polynomial-time Hierarchy PH. Also we separate with probability one all levels of the Boolean Hierarchy BH. The study on the Boolean Hierarchy is a continuation of the work by Bennet and Gill in [BG81] and the joint work in [CH86], where we introduced the "sawing" argument. This "sawing" technique is adapted here to yield probability one separation. The study on PSPACE versus the Polynomial-time Hierarchy is more intriguing. Several novel techniques are employed here. The connection with Boolean circuit is exploited to reduce the problem to a Boolean circuit com...
AbstractWe show that, for every Boolean function f(x1, …, xn) in the class AC0 and an arbitrary cons...
We show that proving lower bounds in algebraic models of computation may not be easier than in the s...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractWe consider how much error a fixed depth Boolean circuit must make in computing the parity f...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
This paper provides logspace and small circuit depth analogs of the result of Valiant-Vazirani, whic...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
This thesis is mainly concerned with the structural complexity of the Boolean Hierarchy. The Boolean...
. Andreev et al. [3] gave constructions of Boolean functions (computable by polynomial-size circuit...
We investigate hierarchical properties and log-space reductions of languages recognized by log-space...
Circuit-size complexity is compared with deterministic and nondeterministic time complexity in the p...
AbstractIt is well known that probabilistic boolean decision trees cannot be much more powerful than...
Recently, boolean hierarchies over NP and over RP (denoted BH and RBH respectively) have been introd...
We develop a new technique of proving lower bounds for the randomized communica-tion complexity of b...
AbstractWe show that, for every Boolean function f(x1, …, xn) in the class AC0 and an arbitrary cons...
We show that proving lower bounds in algebraic models of computation may not be easier than in the s...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...
AbstractWe consider how much error a fixed depth Boolean circuit must make in computing the parity f...
grantor: University of TorontoUniform complexity classes are typically defined in terms of...
This paper provides logspace and small circuit depth analogs of the result of Valiant-Vazirani, whic...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
Boolean circuits were introduced in complexity theory to provide a model for parallel computation. A...
This thesis is mainly concerned with the structural complexity of the Boolean Hierarchy. The Boolean...
. Andreev et al. [3] gave constructions of Boolean functions (computable by polynomial-size circuit...
We investigate hierarchical properties and log-space reductions of languages recognized by log-space...
Circuit-size complexity is compared with deterministic and nondeterministic time complexity in the p...
AbstractIt is well known that probabilistic boolean decision trees cannot be much more powerful than...
Recently, boolean hierarchies over NP and over RP (denoted BH and RBH respectively) have been introd...
We develop a new technique of proving lower bounds for the randomized communica-tion complexity of b...
AbstractWe show that, for every Boolean function f(x1, …, xn) in the class AC0 and an arbitrary cons...
We show that proving lower bounds in algebraic models of computation may not be easier than in the s...
Computational complexity theory and algorithms are two major areas in theoretical computer science. ...