By Leonid Libkin

The e-book is an advent to finite version concept that stresses computing device technological know-how origins of the realm. as well as proposing the most suggestions for interpreting logics over finite versions, the e-book offers broadly with functions in databases, complexity idea, and formal languages, in addition to different branches of desktop technology. It covers Ehrenfeucht-Fraïssé video games, locality-based thoughts, complexity research of logics, together with the fundamentals of descriptive complexity, second-order common sense and its fragments, connections with finite automata, mounted element logics, finite variable logics, zero-one legislation, embedded finite types, and provides a quick travel of lately found purposes of finite version theory.

This publication can be utilized either as an creation to the topic, appropriate for a one- or two-semester graduate path, or as reference for researchers who observe innovations from good judgment in desktop science.

Table of contents: 1. creation — 2. Preliminaries — three. Ehrenfeucht-Fraisse video games — four. Locality and profitable video games — five. Ordered constructions — 6. Complexity of First-Order good judgment — 7. Monadic Second-Order common sense and Automata — eight. Logics with Counting — nine. Turing Machines and Finite types — 10. mounted aspect Logics and Complexity sessions — eleven. Finite variable logics — 12. Zero-one legislation — thirteen. Embedded Finite types — 14. different functions of finite version idea

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**Extra info for Elements of Finite Model Theory**

**Example text**

Let L1 have the universe {1, . . , n} and L2 have the universe {1, . . , m}. Assume that the lengths of L1 and L2 are at least 2k ; that is, n, m ≥ 2k +1. The distance between two elements x, y of the universe, d(x, y), is simply | x − y |. We claim that the duplicator can play in such a way that the following holds after each round i. Let a = (a−1 , a0 , a1 , . . , ai ) consist of a−1 = minL1 , a0 = maxL1 and the i moves a1 , . . , ai in L1 , and likewise let b = (b−1 , b0 , b1 , . . , bi ) consist of b−1 = minL2 , b0 = maxL2 and the i moves in L2 .

Cl } and B B {b1 , . . , bn , c1 , . . , cl } respectively. We say that the duplicator has an n-round winning strategy in the Ehrenfeucht-Fra¨ıss´e game on A and B if the duplicator can play in a way 28 3 Ehrenfeucht-Fra¨ıss´e Games A a1 ✛ a2 ✛ a3 cA ✛ ✲ ✲ ✲ b1 B b2 b3 cB Fig. 1. Ehrenfeucht-Fra¨ıss´e game that guarantees a winning position after n rounds, no matter how the spoiler plays. Otherwise, the spoiler has an n-round winning strategy. If the duplicator has an n-round winning strategy, we write A ≡n B.

We claim that the duplicator can play in such a way that the following holds after each round i. Let a = (a−1 , a0 , a1 , . . , ai ) consist of a−1 = minL1 , a0 = maxL1 and the i moves a1 , . . , ai in L1 , and likewise let b = (b−1 , b0 , b1 , . . , bi ) consist of b−1 = minL2 , b0 = maxL2 and the i moves in L2 . Then, for −1 ≤ j, l ≤ i: 30 3 Ehrenfeucht-Fra¨ıss´e Games 1. if d(aj , al ) < 2k−i , then d(bj , bl ) = d(aj , al ). 2. if d(aj , al ) ≥ 2k−i , then d(bj , bl ) ≥ 2k−i . 3. aj ≤ al ⇐⇒ bj ≤ bl .