Diagonalization $of$ Polynomial-Time Turing Machines Via Nondeterministic Turing Machine
Tianrong Lin
Abstract
Tianrong Lin
Abstract
The diagonalization technique was invented by Cantor to show that there are more real numbers than algebraic numbers, and is very important in computer science. In this work, we enumerate all polynomial-time deterministic Turing machines and diagonalize over all of them by an universal nondeterministic Turing machine. As a result, we obtain that there is a language $L_d$ not accepted by any polynomial-time deterministic Turing machines but accepted by a nondeterministic Turing machine working within $O(n^k)$ for any $k\in\mathbb{N}_1$, i.e. $L_d\in NP$ . That is, we present a proof that $P$ and $NP$ differs.
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The diagonalization technique was invented by Cantor to show that there are more real numbers than algebraic numbers, and is very important in computer science. In this work, we enumerate all polynomial-time deterministic Turing machines and diagonalize over all of them by an universal nondeterministic Turing machine. As a result, we obtain that there is a language $L_d$ not accepted by any polynomial-time deterministic Turing machines but accepted by a nondeterministic Turing machine working within $O(n^k)$ for any $k\in\mathbb{N}_1$, i.e. $L_d\in NP$ . That is, we present a proof that $P$ and $NP$ differs.
Key concepts: Time hierarchy theorem, Turing machine, Nondeterministic algorithm, Non-deterministic Turing machine, NSPACE, NP, Probabilistic Turing machine, Super-recursive algorithm