Ivan V. Latkin | Searcharxiv

arXiv2024

A correspondence between the time and space complexity

We investigate the correspondence between the time and space recognition complexity of languages. For this purpose, we will code the long-continued computations of deterministic two-tape Turing machines by the relatively short-length quantified Boolean formulae. The modified Meyer and Stockmeyer method will appreciably be used for this simulation. It will be proved using this modeling that the complexity classes Deterministic Exponential Time and Deterministic Polynomial Space coincide. It will also be proven that any language recognized in polynomial time can be recognized in almost logarithmic space. Furthermore, this allows us slightly to improve the early founded lower complexity bound of decidable theories that are nontrivial relative to some equivalence relation (this relation may be equality) -- each of these theories is consistent with the formula, which asserts that there are two non-equivalent elements. Keywords: computational complexity, the coding of computations through formulae, exponential time, polynomial space, the lower complexity bound of the language recognition

cs.CC↗

arXiv2021

The complexity of the first-order theory of pure equality

We will find a lower bound on the recognition complexity of the theories that are nontrivial relative to some equivalence relation (this relation may be equality), namely, each of these theories is consistent with the formula, whose sense is that there exist two non-equivalent elements. However, at first, we will obtain a lower bound on the computational complexity for the first-order theory of Boolean algebra that has only two elements. For this purpose, we will code the long-continued deterministic Turing machine computations by the relatively short-length quantified Boolean formulae; the modified Stockmeyer and Meyer method will appreciably be used for this simulation. Then, we will transform the modeling formulae of the theory of this Boolean algebra to the simulation ones of the first-order theory of the only equivalence relation in polynomial time. Since the computational complexity of these theories is not polynomial, we obtain that the class $\mathbf{P}$ is a proper subclass of $\mathbf{PSPACE}$ (Polynomial Time is a proper subset of Polynomial Space). Keywords: Computational complexity, the theory of equality, the coding of computations, simulation by means formulae, polynomial time, polynomial space, lower complexity bound

math.LO↗