Nondeterministic Auxiliary Depth-Bounded Storage Automata and Semi-Unbounded Fan-in Cascading Circuits
Tomoyuki Yamakami
TL;DR
The paper addresses the complexity of nondeterministic auxiliary depth-$k$ storage automata ($k$-sna) and introduces a semi-unbounded fan-in cascading circuit model to capture their power. It proves a tight circuit characterization: $ ext{AuxSNA depth-space-time}(2k,O( obreak \log n),n^{O(1)})_{FBS}$ equals $ ext{CCIRcasc, obreak alt, obreak size}(k,O( obreak log n),n^{O(1)})$, linking nondeterministic storage automata to circuit families with cascading blocks built from AND$_{(omega)}$, CAND, and COR gates under frozen-blank sensitivity. By relaxing the cascading constraint, it also shows a characterization of $ ext{P}$ and derives that $ ext{LOG}k ext{SNA}_{FBS}$ lies within $ ext{P}$; accordingly, an upper bound on the complexity of $ ext{LOG}k ext{SNA}$ is established. Overall, the work unifies storage-automata models with circuit-based parallelism, providing a time-space tradeoff perspective for log-space reductions and enriching the understanding of how nondeterministic storage interacts with circuit depth and width in a uniform framework.
Abstract
We discuss a nondeterministic variant of the recently introduced machine model of deterministic auxiliary depth-$k$ storage automata (or aux-$k$-sda's) by Yamakami. It was proven that all languages recognized by polynomial-time logarithmic-space aux-$k$-sda's are located between $\mathrm{LOGDCFL}$ and $\mathrm{SC}^k$ (the $k$th level of Steve's class SC). We further propose a new and simple computational model of semi-unbounded fan-in Boolean circuits composed partly of cascading blocks, in which the first few AND gates of unbounded fan-out (called AND$_{(ω)}$ gates) at each layer from the left (where all gates at each layer are indexed from left to right) are linked in a "cascading" manner to their right neighbors though specific AND and OR gates. We use this new circuit model to characterize a nondeterministic variant of the aux-$2k$-sda's (called aux-$2k$-sna's) that run in polynomial time using logarithmic work space. By relaxing the requirement for cascading circuits, we also demonstrate how such cascading circuit families characterize the complexity class $\mathrm{P}$. This yields an upper bound on the computational complexity of $\mathrm{LOG}k\mathrm{SNA}$ by $\mathrm{P}$.
