# Formal system

A **formal system** is used for inferring theorems from axioms according to a set of rules. These rules, which are used for carrying out the inference of theorems from axioms, are the **logical calculus** of the formal system.
A formal system is essentially an "axiomatic system".^{[1]}

In 1921, David Hilbert proposed to use such system as the foundation for the knowledge in mathematics.^{[2]} A formal system may represent a well-defined system of abstract thought.

The term *formalism* is sometimes a rough synonym for *formal system*, but it also refers to a given style of notation, for example, Paul Dirac's bra–ket notation.

## Background[edit]

Each formal system uses primitive symbols (which collectively form an alphabet) to finitely construct a formal language from a set of axioms through inferential rules of formation.

The system thus consists of valid formulas built up through finite combinations of the primitive symbols—combinations that are formed from the axioms in accordance with the stated rules.^{[3]}

More formally, this can be expressed as the following:

- A finite set of symbols, known as the alphabet, which concatenate formulas, so that a formula is just a finite string of symbols taken from the alphabet.
- A grammar consisting of rules to form formulas from simpler formulas. A formula is said to be well-formed if it can be formed using the rules of the formal grammar. It is often required that there be a decision procedure for deciding whether a formula is well-formed.
- A set of axioms, or axiom schemata, consisting of well-formed formulas.
- A set of inference rules. A well-formed formula that can be inferred from the axioms is known as a theorem of the formal system.

### Recursive[edit]

A formal system is said to be recursive (i.e. effective) or recursively enumerable if the set of axioms and the set of inference rules are decidable sets or semidecidable sets, respectively.

### Inference and entailment[edit]

The entailment of the system by its logical foundation is what distinguishes a formal system from others which may have some basis in an abstract model. Often the formal system will be the basis for or even identified with a larger theory or field (e.g. Euclidean geometry) consistent with the usage in modern mathematics such as model theory.^{[clarification needed]}

#### Formal language[edit]

A formal language is a language that is defined by a formal system. Like languages in linguistics, formal languages generally have two aspects:

- the syntax of a language is what the language looks like (more formally: the set of possible expressions that are valid utterances in the language) studied in formal language theory
- the semantics of a language are what the utterances of the language mean (which is formalized in various ways, depending on the type of language in question)

In computer science and linguistics usually only the syntax of a formal language is considered via the notion of a formal grammar. A formal grammar is a precise description of the syntax of a formal language: a set of strings. The two main categories of formal grammar are that of generative grammars, which are sets of rules for how strings in a language can be generated, and that of analytic grammars (or reductive grammar,^{[4]}^{[5]}) which are sets of rules for how a string can be analyzed to determine whether it is a member of the language. In short, an analytic grammar describes how to *recognize* when strings are members in the set, whereas a generative grammar describes how to *write* only those strings in the set.

In mathematics, a formal language is usually not described by a formal grammar but by (a) natural language, such as English. Logical systems are defined by both a deductive system and natural language. Deductive systems in turn are only defined by natural language (see below).

#### Deductive system[edit]

A *deductive system*, also called a *deductive apparatus* or a *logic*, consists of the axioms (or axiom schemata) and rules of inference that can be used to derive theorems of the system.^{[6]}

Such deductive systems preserve deductive qualities in the formulas that are expressed in the system. Usually the quality we are concerned with is truth as opposed to falsehood. However, other modalities, such as justification or belief may be preserved instead.

In order to sustain its deductive integrity, a *deductive apparatus* must be definable without reference to any intended interpretation of the language. The aim is to ensure that each line of a derivation is merely a syntactic consequence of the lines that precede it. There should be no element of any interpretation of the language that gets involved with the deductive nature of the system.

An example of deductive system is first order predicate logic.

#### Logical system[edit]

A *logical system* or *language* (not be confused with the kind of "formal language" discussed above which is described by a formal grammar), is a deductive system (see section above; most commonly first order predicate logic) together with additional (non-logical) axioms and a semantics^{[disputed – discuss]}. According to model-theoretic interpretation, the semantics of a logical system describe whether a well-formed formula is satisfied by a given structure. A structure that satisfies all the axioms of the formal system is known as a model of the logical system. A logical system is sound if each well-formed formula that can be inferred from the axioms is satisfied by every model of the logical system. Conversely, a logic system is complete if each well-formed formula that is satisfied by every model of the logical system can be inferred from the axioms.

An example of a logical system is Peano arithmetic.

## History[edit]

Early logic systems includes Indian logic of Pāṇini, syllogistic logic of Aristotle, propositional logic of Stoicism, and Chinese logic of Gongsun Long (c. 325–250 BCE) . In more recent times, contributors include George Boole, Augustus De Morgan, and Gottlob Frege. Mathematical logic was developed in 19th century Europe.

### Formalism[edit]

#### Hilbert's program[edit]

David Hilbert instigated a formalist movement that was eventually tempered by Gödel's incompleteness theorems.

### QED manifesto[edit]

The QED manifesto represented a subsequent, as yet unsuccessful, effort at formalization of known mathematics.

## Examples[edit]

Examples of formal systems include:

## Variants[edit]

The following systems are variations of formal systems^{[clarification needed]}.

### Proof system[edit]

Formal proofs are sequences of well-formed formulas (or wff for short). For a wff to qualify as part of a proof, it might either be an axiom or be the product of applying an inference rule on previous wffs in the proof sequence. The last wff in the sequence is recognized as a theorem.

The point of view that generating formal proofs is all there is to mathematics is often called *formalism*. David Hilbert founded metamathematics as a discipline for discussing formal systems. Any language that one uses to talk about a formal system is called a *metalanguage*. The metalanguage may be a natural language, or it may be partially formalized itself, but it is generally less completely formalized than the formal language component of the formal system under examination, which is then called the *object language*, that is, the object of the discussion in question.

Once a formal system is given, one can define the set of theorems which can be proved inside the formal system. This set consists of all wffs for which there is a proof. Thus all axioms are considered theorems. Unlike the grammar for wffs, there is no guarantee that there will be a decision procedure for deciding whether a given wff is a theorem or not. The notion of *theorem* just defined should not be confused with *theorems about the formal system*, which, in order to avoid confusion, are usually called metatheorems.

## See also[edit]

## References[edit]

**^**"Formal system, ENCYCLOPÆDIA BRITANNICA".**^**"Hilbert's Program, Stanford Encyclopedia of Philosophy".**^**Encyclopædia Britannica, Formal system definition, 2007.**^**Reductive grammar: (*computer science*) A set of syntactic rules for the analysis of strings to determine whether the strings exist in a language. "Sci-Tech Dictionary McGraw-Hill Dictionary of Scientific and Technical Terms" (6th ed.). McGraw-Hill.^{[unreliable source?]}About the Author Compiled by The Editors of the McGraw-Hill Encyclopedia of Science & Technology (New York, NY) an in-house staff who represents the cutting-edge of skill, knowledge, and innovation in science publishing. [1]**^**"There are two classes of formal-language definition compiler-writing schemes. The productive grammar approach is the most common. A productive grammar consists primarrly of a set of rules that describe a method of generating all possible strings of the language. The reductive or analytical grammar technique states a set of rules that describe a method of analyzing any string of characters and deciding whether that string is in the language." "**The TREE-META Compiler-Compiler System: A Meta Compiler System for the Univac 1108 and General Electric 645**, University of Utah Technical Report RADC-TR-69-83. C. Stephen Carr, David A. Luther, Sherian Erdmann" (PDF). Retrieved 5 January 2015.**^**Hunter, Geoffrey, Metalogic: An Introduction to the Metatheory of Standard First-Order Logic, University of California Pres, 1971

## Further reading[edit]

- Raymond M. Smullyan, 1961.
*Theory of Formal Systems: Annals of Mathematics Studies*, Princeton University Press (April 1, 1961) 156 pages ISBN 0-691-08047-X - Stephen Cole Kleene, 1967.
*Mathematical Logic*Reprinted by Dover, 2002. ISBN 0-486-42533-9 - Douglas Hofstadter, 1979.
*Gödel, Escher, Bach: An Eternal Golden Braid*ISBN 978-0-465-02656-2. 777 pages.

## External links[edit]

Look up in Wiktionary, the free dictionary.formalisation |

- Media related to Formal systems at Wikimedia Commons
- Encyclopædia Britannica, Formal system definition, 2007.
- What is a Formal System?: Some quotes from John Haugeland's `Artificial Intelligence: The Very Idea' (1985), pp. 48–64.
- Peter Suber, Formal Systems and Machines: An Isomorphism, 1997.