Solution of the Problem P = L

Mathematics

Andrey Nechesov¹  Sergey Goncharov¹ 

[1] Sobolev Institute of Mathematics, Academician Koptyug Ave., 4, 630090 Novosibirsk, Russia;

关键词: polynomiality;    polynomial function;    polynomial algorithm;    Turing machine;    logical programming language;    semantic programming;   

DOI  :  10.3390/math10010113

来源: DOAJ

【 摘 要 】

The problems associated with the construction of polynomial complexity computer programs require new techniques and approaches from mathematicians. One of such approaches is representing some class of polynomial algorithms as a certain class of special logical programs. Goncharov and Sviridenko described a logical programming language $L_0$, where programs inductively are obtained from the set of ${\Delta }_0$-formulas using special terms. In their work, a new idea has been proposed to look at the term as a program. The computational complexity of such programs is polynomial. In the same years, a number of other logical languages with similar properties were created. However, the following question remained: can all polynomial algorithms be described in these languages? It is a long-standing problem, and the method of describing some polynomial algorithm in a not Turing complete logical programming language was not previously clear. In this paper, special types of terms and formulas have been found and added to solve this problem. One of the main contributions is the construction of p-iterative terms that simulate the work of the Turing machine. Using p-iterative terms, the work showed that class P is equal to class L, which extends the programming language $L_0$ with p-iterative terms. Thus, it is shown that L is quite expressive and has no halting problem, which occurs in high-level programming languages. For these reasons, the logical language L can be used to create fast and reliable programs. The main limitation of the language L is that the implementation of algorithms of complexity is not higher than polynomial.

【 授权许可】

Unknown