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Mathematical logic is a discipline within mathematics, studying formal systems in relation to the way they encode intuitive concepts of proof and computation as part of the foundations of mathematics. Although the layperson may think that mathematical logic is the logic of mathematics, the truth is rather that it more closely resembles the mathematics of logic. It comprises those parts of logic that can be modelled mathematically. Earlier appellations were symbolic logic (as opposed to philosophical logic); and metamathematics, which is now restricted as a term to some aspects of proof theory.
HistoryMathematical logic was the name given by Giuseppe Peano to what is also known as symbolic logic. In essentials, it is still the logic of Aristotle, but from the point of view of notation it is written as a branch of abstract algebra. Attempts to treat the operations of formal logic in a symbolic or algebraic way were made by some of the more philosophical mathematicians, such as Leibniz and Lambert; but their labors remained little known and isolated. It was George Boole and then Augustus De Morgan, in the middle of the nineteenth century, who presented a systematic mathematical (of course non-quantitative) way of regarding logic. The traditional, Aristotelian doctrine of logic was reformed and completed; and out of it developed an adequate instrument for investigating the fundamental concepts of mathematics. It would be misleading to say that the foundational controversies that were alive in the period 1900-1925 have all been settled; but philosophy of mathematics was greatly clarified by the 'new' logic. While the traditional development of logic (see list of topics in logic) put heavy emphasis on forms of arguments, the attitude of current mathematical logic might be summed up as the combinatorial study of content. This covers both the syntactic (for example, sending a string from a formal language to a compiler program to write it as sequence of machine instructions), and the semantic (constructing specific models or whole sets of them, in model theory). Some landmark publications were the Begriffsschrift by Gottlob Frege, Studies in Logic by Charles Peirce, and Principia Mathematica by Bertrand Russell and Alfred North Whitehead. Topics in mathematical logicThe main areas of mathematical logic include model theory, proof theory and recursion theory (often now referred to as computability theory). Axiomatic set theory is sometimes considered too. There are many overlaps with computer science, since many early pioneers in computer science, such as Alan Turing, were mathematicians and logicians. The study of programming language semantics derives from model theory, as does program verification, in particular model checking. The Curry-Howard isomorphism between proofs and programs relates to proof theory; intuitionistic logic and linear logic are significant here. Calculi such as the lambda calculus and combinatory logic are nowadays studied mainly as idealized programming languages. Computer science also contributes to logic by developing techniques for the automatic checking or even finding of proofs, such as automated theorem proving and logic programming. Some fundamental resultsSome important results are:
Technical referenceThis section is not intended as a crash course in mathematical logic. There is no doubt that the bare display of concise definitions is very far from an adequate encyclopedical presentation, but sections with more amenable paragraphs shall follow soonw/. Likewise, the several topics will be pertinently separated as soon as it makes sense, and when and where it is found a proper place. First-order languages and structuresDefinition. A first-order language
Thus, in order to specify a language, it is often sufficient to specify only the collection of constant symbols, function symbols and relation symbols, since the first set of symbols is standard. The parentheses serve the only purpose of forming groups of symbols, and are not to be formally used when writing down functions and relations in formulas. These symbols are just that, symbols. They don't stand for anything. They do not mean anything. However, that deviates further into semantics and linguistical issues not useful to the formalization of mathematical language, yet. Yet, because it will indeed be necessary to get some meaning out of this formalization. The concept of model over a language provides with such a semantics. Definition. An
Often, the word model is used for that of structure in this context. However, it is important to understand perhaps its motivation, as follows. Terms, formulas and sentencesDefinition. An
Definition. An
Definition. An Definition. Let
Definition. A sentence is a formula with no free variables. Assignment functionsHereafter, Definition. A variable assignment function (v.a.f.) into Definition. Let
Definition. Let ![]() Logical satisfactionDefinition. Let
Definition. Let Definition. Let In the case that Definition. Let Logical implication and truthDefinition. Let As a shortcut, when dealing with singletons, we often write Definition. Let To say that a formula Definition. Let Variable substitutionDefinition. Let
Definition. Let
SubstitutabilityDefinition. Let
The notion of substitutability of terms for variables corresponds to that of the preservation of truth after substitution is carried out in terms or formulas. Strictly speaking, substitution is always allowed, but substitutability will be imperative in order to yield a formula which meaning was not deformed by the substitution. References
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