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c_8j0mw7pycj8m
Complete theory
Summary
Maximal_consistent_set
Gödel's completeness theorem is about this latter kind of completeness. Complete theories are closed under a number of conditions internally modelling the T-schema: For a set of formulas S {\displaystyle S}: A ∧ B ∈ S {\displaystyle A\land B\in S} if and only if A ∈ S {\displaystyle A\in S} and B ∈ S {\displaystyle B\i...
c_eh0aojdvgk4r
Tolerant sequence
Summary
Tolerant_sequence
In mathematical logic, a tolerant sequence is a sequence T 1 {\displaystyle T_{1}} ,..., T n {\displaystyle T_{n}} of formal theories such that there are consistent extensions S 1 {\displaystyle S_{1}} ,..., S n {\displaystyle S_{n}} of these theories with each S i + 1 {\displaystyle S_{i+1}} interpretable in S i {\dis...
c_psv7eu26br6s
Universal quantifier
Summary
Universally_quantify
In mathematical logic, a universal quantification is a type of quantifier, a logical constant which is interpreted as "given any", "for all", or "for any". It expresses that a predicate can be satisfied by every member of a domain of discourse. In other words, it is the predication of a property or relation to every me...
c_my06ol4g9yrp
Universal quantifier
Summary
Universally_quantify
It is usually denoted by the turned A (∀) logical operator symbol, which, when used together with a predicate variable, is called a universal quantifier ("∀x", "∀(x)", or sometimes by "(x)" alone). Universal quantification is distinct from existential quantification ("there exists"), which only asserts that the propert...
c_91avl568pkxm
Witness (mathematics)
Summary
Witness_(mathematics)
In mathematical logic, a witness is a specific value t to be substituted for variable x of an existential statement of the form ∃x φ(x) such that φ(t) is true.
c_4ohz0dwm0lg6
Abstract algebraic logic
Summary
Abstract_algebraic_logic
In mathematical logic, abstract algebraic logic is the study of the algebraization of deductive systems arising as an abstraction of the well-known Lindenbaum–Tarski algebra, and how the resulting algebras are related to logical systems.
c_im7gxxv9df1q
Abstract model theory
Summary
Abstract_model_theory
In mathematical logic, abstract model theory is a generalization of model theory that studies the general properties of extensions of first-order logic and their models.Abstract model theory provides an approach that allows us to step back and study a wide range of logics and their relationships. The starting point for...
c_ojfr45wiqh4h
Logic of relations
Summary
Calculus_of_relations
In mathematical logic, algebraic logic is the reasoning obtained by manipulating equations with free variables. What is now usually called classical algebraic logic focuses on the identification and algebraic description of models appropriate for the study of various logics (in the form of classes of algebras that cons...
c_pw2jv1nkhgst
Algebraic semantics (mathematical logic)
Summary
Algebraic_semantics_(mathematical_logic)
In mathematical logic, algebraic semantics is a formal semantics based on algebras studied as part of algebraic logic. For example, the modal logic S4 is characterized by the class of topological boolean algebras—that is, boolean algebras with an interior operator. Other modal logics are characterized by various other ...
c_87nwfiug865p
Modus ponens
Algebraic semantics
Modus_ponens > Correspondence to other mathematical frameworks > Algebraic semantics
In mathematical logic, algebraic semantics treats every sentence as a name for an element in an ordered set. Typically, the set can be visualized as a lattice-like structure with a single element (the "always-true") at the top and another single element (the "always-false") at the bottom. Logical equivalence becomes id...
c_cmf5gesdqlng
Modus ponens
Algebraic semantics
Modus_ponens > Correspondence to other mathematical frameworks > Algebraic semantics
In this context, to say that P {\textstyle P} and P → Q {\displaystyle P\rightarrow Q} together imply Q {\displaystyle Q} —that is, to affirm modus ponens as valid—is to say that P ∧ ( P → Q ) ≤ Q {\displaystyle P\wedge (P\rightarrow Q)\leq Q} . In the semantics for basic propositional logic, the algebra is Boolean, wi...
c_fxhfzrja45bo
Substructure (mathematics)
Summary
Extension_(model_theory)
In mathematical logic, an (induced) substructure or (induced) subalgebra is a structure whose domain is a subset of that of a bigger structure, and whose functions and relations are restricted to the substructure's domain. Some examples of subalgebras are subgroups, submonoids, subrings, subfields, subalgebras of algeb...
c_4gjrkm2okngo
Substructure (mathematics)
Summary
Extension_(model_theory)
In model theory, the term "submodel" is often used as a synonym for substructure, especially when the context suggests a theory of which both structures are models. In the presence of relations (i.e. for structures such as ordered groups or graphs, whose signature is not functional) it may make sense to relax the condi...
c_h8sw1rh3us9m
Abstract logic
Summary
Abstract_logic
In mathematical logic, an abstract logic is a formal system consisting of a class of sentences and a satisfaction relation with specific properties related to occurrence, expansion, isomorphism, renaming and quantification.Based on Lindström's characterization, first-order logic is, up to equivalence, the only abstract...
c_fj7cmznzgv0k
Algebraic definition
Summary
Algebraic_definition
In mathematical logic, an algebraic definition is one that can be given using only equations between terms with free variables. Inequalities and quantifiers are specifically disallowed.Saying that a definition is algebraic is a stronger condition than saying it is elementary.
c_musk3i5w5pi0
Algebraic sentence
Summary
Algebraic_sentence
In mathematical logic, an algebraic sentence is one that can be stated using only equations between terms with free variables. Inequalities and quantifiers are specifically disallowed. Sentential logic is the subset of first-order logic involving only algebraic sentences. Saying that a sentence is algebraic is a strong...
c_my6yge2ptvc9
Alternative Set Theory
Summary
Alternative_Set_Theory
In mathematical logic, an alternative set theory is any of the alternative mathematical approaches to the concept of set and any alternative to the de facto standard set theory described in axiomatic set theory by the axioms of Zermelo–Fraenkel set theory.
c_qd01ph9l5yks
Arithmetical numbers
Summary
Arithmetical_numbers
In mathematical logic, an arithmetical set (or arithmetic set) is a set of natural numbers that can be defined by a formula of first-order Peano arithmetic. The arithmetical sets are classified by the arithmetical hierarchy. The definition can be extended to an arbitrary countable set A (e.g. the set of n-tuples of int...
c_dnffvd7zynk7
Arithmetical numbers
Summary
Arithmetical_numbers
A function f :⊆ N k → N {\displaystyle f:\subseteq \mathbb {N} ^{k}\to \mathbb {N} } is called arithmetically definable if the graph of f {\displaystyle f} is an arithmetical set. A real number is called arithmetical if the set of all smaller rational numbers is arithmetical. A complex number is called arithmetical if ...
c_ids38uyjoo2f
Atomic formula
Summary
Atomic_formula
In mathematical logic, an atomic formula (also known as an atom or a prime formula) is a formula with no deeper propositional structure, that is, a formula that contains no logical connectives or equivalently a formula that has no strict subformulas. Atoms are thus the simplest well-formed formulas of the logic. Compou...
c_y3yukz0o4dtb
Atomic formula
Summary
Atomic_formula
The precise form of atomic formulas depends on the logic under consideration; for propositional logic, for example, a propositional variable is often more briefly referred to as an "atomic formula", but, more precisely, a propositional variable is not an atomic formula but a formal expression that denotes an atomic for...
c_yc309uy0gvi4
Finite axiomatization
Summary
Finite_axiomatization
In mathematical logic, an axiom schema (plural: axiom schemata or axiom schemas) generalizes the notion of axiom.
c_0s86dwjpcexk
Effective Polish space
Summary
Effective_Polish_space
In mathematical logic, an effective Polish space is a complete separable metric space that has a computable presentation. Such spaces are studied in effective descriptive set theory and in constructive analysis. In particular, standard examples of Polish spaces such as the real line, the Cantor set and the Baire space ...
c_p26082gep7ic
Elementary definition
Summary
Elementary_definition
In mathematical logic, an elementary definition is a definition that can be made using only finitary first-order logic, and in particular without reference to set theory or using extensions such as plural quantification. Elementary definitions are of particular interest because they admit a complete proof apparatus whi...
c_k3htmrvfcnng
Elementary sentence
Summary
Elementary_sentence
In mathematical logic, an elementary sentence is one that is stated using only finitary first-order logic, without reference to set theory or using any axioms which have consistency strength equal to set theory. Saying that a sentence is elementary is a weaker condition than saying it is algebraic.
c_q7pubpldhpg2
Countably categorical theory
Summary
Omega-categorical_theory
In mathematical logic, an omega-categorical theory is a theory that has exactly one countably infinite model up to isomorphism. Omega-categoricity is the special case κ = ℵ 0 {\displaystyle \aleph _{0}} = ω of κ-categoricity, and omega-categorical theories are also referred to as ω-categorical. The notion is most impor...
c_i8gskck5y54l
Function letter
Summary
Uninterpreted_function
In mathematical logic, an uninterpreted function or function symbol is one that has no other property than its name and n-ary form. Function symbols are used, together with constants and variables, to form terms. The theory of uninterpreted functions is also sometimes called the free theory, because it is freely genera...
c_6nmxumggn8km
Omega-consistent theory
Summary
Omega-consistent_theory
In mathematical logic, an ω-consistent (or omega-consistent, also called numerically segregative) theory is a theory (collection of sentences) that is not only (syntactically) consistent (that is, does not prove a contradiction), but also avoids proving certain infinite combinations of sentences that are intuitively co...
c_q2wgh6wfsngc
O-minimal theory
Summary
O-minimal_structure
In mathematical logic, and more specifically in model theory, an infinite structure (M,<,...) that is totally ordered by < is called an o-minimal structure if and only if every definable subset X ⊆ M (with parameters taken from M) is a finite union of intervals and points. O-minimality can be regarded as a weak form of...
c_ysan8rgfmkcv
Saturated model
Summary
Saturated_model
In mathematical logic, and particularly in its subfield model theory, a saturated model M is one that realizes as many complete types as may be "reasonably expected" given its size. For example, an ultrapower model of the hyperreals is ℵ 1 {\displaystyle \aleph _{1}} -saturated, meaning that every descending nested seq...
c_2zh8j0avscji
Kappa calculus
Summary
Kappa_calculus
In mathematical logic, category theory, and computer science, kappa calculus is a formal system for defining first-order functions. Unlike lambda calculus, kappa calculus has no higher-order functions; its functions are not first class objects. Kappa-calculus can be regarded as "a reformulation of the first-order fragm...
c_twwfkrvpa7sf
Cointerpretability
Summary
Cointerpretability
In mathematical logic, cointerpretability is a binary relation on formal theories: a formal theory T is cointerpretable in another such theory S, when the language of S can be translated into the language of T in such a way that S proves every formula whose translation is a theorem of T. The "translation" here is requi...
c_0ml3828llw2o
Existential theory of the reals
Summary
Existential_theory_of_the_reals
In mathematical logic, computational complexity theory, and computer science, the existential theory of the reals is the set of all true sentences of the form where the variables X i {\displaystyle X_{i}} are interpreted as having real number values, and where F ( X 1 , … X n ) {\displaystyle F(X_{1},\dots X_{n})} is a...
c_p58en2h9rlqx
Existential theory of the reals
Summary
Existential_theory_of_the_reals
However, in practice, general methods for the first-order theory remain the preferred choice for solving these problems.The complexity class ∃ R {\displaystyle \exists \mathbb {R} } has been defined to describe the class of computational problems that may be translated into equivalent sentences of this form. In structu...
c_amlm24gzxw4f
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
In mathematical logic, computer programming, philosophy and linguistics fuzzy concepts can be analyzed and defined more accurately or comprehensively, by describing or modelling the concepts using the terms of fuzzy logic or other substructural logics. More generally, clarification techniques can be used such as: 1. Co...
c_bhqsn8g96ap0
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Identifying the intention, purpose, aim or goal associated with the concept (teleology and design). 3. Comparing and contrasting the concept with related ideas in the present or the past (comparative and comparative research).
c_rgu9la7exeum
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
4. Creating a model, likeness, analogy, metaphor, prototype or narrative which shows what the concept is about or how it is applied (isomorphism, simulation or successive approximation ). 5.
c_r1rkfus3w9zl
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Probing the assumptions on which a concept is based, or which are associated with its use (critical thought, tacit assumption). 6. Mapping or graphing the applications of the concept using some basic parameters, or using some diagrams or flow charts to understand the relationships between elements involved (visualizati...
c_96x2giswap2y
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
7. Examining how likely it is that the concept applies, statistically or intuitively (probability theory).
c_47vce6r97okp
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
8. Specifying relevant conditions to which the concept applies, as a procedure (computer programming, formal concept analysis). 9.
c_xe4wskdsav1t
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Concretizing the concept – finding specific examples, illustrations, details or cases to which it applies (exemplar, exemplification). 10. Reducing or restating fuzzy concepts in terms which are simpler or similar, and which are not fuzzy or less fuzzy (simplification, dimensionality reduction, plain language, KISS pri...
c_agv2u2hcprg6
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
11. Trying out a concept, by using it in interactions, practical work or in communication, and assessing the feedback to understand how the boundaries and distinctions of the concept are being drawn (trial and error or pilot experiment). 12.
c_7psjsr3fjh1z
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Engaging in a structured dialogue or repeated discussion, to exchange ideas about how to get specific about what it means and how to clear it up (scrum method). 13. Allocating different applications of the concept to different but related sets (Boolean logic).
c_bucbb3zecgzt
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
14. Identifying operational rules defining the use of the concept, which can be stated in a language and which cover all or most cases (material conditional). 15.
c_3pplu4u2sw0e
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Classifying, categorizing, grouping, or inventorizing all or most cases or uses to which the concept applies (taxonomy, cluster analysis and typology).16. Applying a meta-language which includes fuzzy concepts in a more inclusive categorical system which is not fuzzy (meta). 17.
c_e22rh9nq3dzb
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Creating a measure or scale of the degree to which the concept applies (metrology). 18. Examining the distribution patterns or distributional frequency of (possibly different) uses of the concept (statistics).
c_xkxnp328pepk
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
19. Specifying a series of logical operators or inferential system which captures all or most cases to which the concept applies (algorithm). 20.
c_vbmhqdm4zglc
Fuzzy concept
Clarifying methods
Fuzzy_concept > Clarifying methods
Relating the fuzzy concept to other concepts which are not fuzzy or less fuzzy, or simply by replacing the fuzzy concept altogether with another, alternative concept which is not fuzzy yet "works the same way" (proxy) 21. Engaging in meditation, or taking the proverbial "run around the block" to clarify the mind, and t...
c_zijsdxjtrt58
Descriptive set theory
Summary
Descriptive_set_theory
In mathematical logic, descriptive set theory (DST) is the study of certain classes of "well-behaved" subsets of the real line and other Polish spaces. As well as being one of the primary areas of research in set theory, it has applications to other areas of mathematics such as functional analysis, ergodic theory, the ...
c_q8qgk6ol7jse
Buchholz hydra
Summary
Buchholz_hydra
In mathematical logic, especially in graph theory and number theory, the Buchholz hydra game is a type of hydra game, which is a single-player game based on the idea of chopping pieces off of a mathematical tree. The hydra game can be used to generate a rapidly growing function, B H ( n ) {\displaystyle BH(n)} , which ...
c_4sch13njdp3m
Back-and-forth method
Summary
Back-and-forth_method
In mathematical logic, especially set theory and model theory, the back-and-forth method is a method for showing isomorphism between countably infinite structures satisfying specified conditions. In particular it can be used to prove that any two countably infinite densely ordered sets (i.e., linearly ordered in such a...
c_bbsyt53wduow
Back-and-forth method
Summary
Back-and-forth_method
any two countably infinite atomless Boolean algebras are isomorphic to each other. any two equivalent countable atomic models of a theory are isomorphic. the Erdős–Rényi model of random graphs, when applied to countably infinite graphs, almost surely produces a unique graph, the Rado graph. any two many-complete recurs...
c_d05u06nti5mg
Unstable fixed point
Fixed-point logics
Repulsive_fixed_point > Fixed-point logics
In mathematical logic, fixed-point logics are extensions of classical predicate logic that have been introduced to express recursion. Their development has been motivated by descriptive complexity theory and their relationship to database query languages, in particular to Datalog.
c_n8idd2ucarpc
Least fixed-point logic
Summary
Partial_fixed-point_logic
In mathematical logic, fixed-point logics are extensions of classical predicate logic that have been introduced to express recursion. Their development has been motivated by descriptive complexity theory and their relationship to database query languages, in particular to Datalog. Least fixed-point logic was first stud...
c_e6cpm9xa3bxs
Focused proof
Summary
Focused_proof
In mathematical logic, focused proofs are a family of analytic proofs that arise through goal-directed proof-search, and are a topic of study in structural proof theory and reductive logic. They form the most general definition of goal-directed proof-search—in which someone chooses a formula and performs hereditary red...
c_h0uxv8kixc6w
Equiconsistency
Consistency
Consistency_strength > Consistency
In mathematical logic, formal theories are studied as mathematical objects. Since some theories are powerful enough to model different mathematical objects, it is natural to wonder about their own consistency. Hilbert proposed a program at the beginning of the 20th century whose ultimate goal was to show, using mathema...
c_j7q4n4uemiyy
Equiconsistency
Consistency
Consistency_strength > Consistency
Gödel's incompleteness theorems show that Hilbert's program cannot be realized: if a consistent recursively enumerable theory is strong enough to formalize its own metamathematics (whether something is a proof or not), i.e. strong enough to model a weak fragment of arithmetic (Robinson arithmetic suffices), then the th...
c_czmi742fauct
Equiconsistency
Consistency
Consistency_strength > Consistency
Assume that S is a consistent theory. Does it follow that T is consistent? If so, then T is consistent relative to S. Two theories are equiconsistent if each one is consistent relative to the other.
c_kb17rf2ypojs
Formation rule
Summary
Formation_rules
In mathematical logic, formation rules are rules for describing which strings of symbols formed from the alphabet of a formal language are syntactically valid within the language. These rules only address the location and manipulation of the strings of the language. It does not describe anything else about a language, ...
c_ze4apcqkor01
Geometric logic
Summary
Geometric_logic
In mathematical logic, geometric logic is an infinitary generalisation of coherent logic, a restriction of first-order logic due to Skolem that is proof-theoretically tractable. Geometric logic is capable of expressing many mathematical theories and has close connections to topos theory.
c_ppk0mvjww8tj
Internal set
Summary
Internal_function
In mathematical logic, in particular in model theory and nonstandard analysis, an internal set is a set that is a member of a model. The concept of internal sets is a tool in formulating the transfer principle, which concerns the logical relation between the properties of the real numbers R, and the properties of a lar...
c_mkqi11n4x5z8
Internal set
Summary
Internal_function
Roughly speaking, the idea is to express analysis over R in a suitable language of mathematical logic, and then point out that this language applies equally well to *R. This turns out to be possible because at the set-theoretic level, the propositions in such a language are interpreted to apply only to internal sets ra...
c_jtzsrbmmqxxr
Logically independent
Summary
Logically_independent
In mathematical logic, independence is the unprovability of a sentence from other sentences. A sentence σ is independent of a given first-order theory T if T neither proves nor refutes σ; that is, it is impossible to prove σ from T, and it is also impossible to prove from T that σ is false. Sometimes, σ is said (synony...
c_dnrtnlcp2i1k
Indiscernibles
Summary
Set_of_indiscernibles
In mathematical logic, indiscernibles are objects that cannot be distinguished by any property or relation defined by a formula. Usually only first-order formulas are considered.
c_6vc17lmbbx2j
Interpretability
Summary
Interpretability
In mathematical logic, interpretability is a relation between formal theories that expresses the possibility of interpreting or translating one into the other.
c_p68gbfuglkro
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
In mathematical logic, minimal axioms for Boolean algebra are assumptions which are equivalent to the axioms of Boolean algebra (or propositional calculus), chosen to be as short as possible. For example, if one chooses to take commutativity for granted, an axiom with six NAND operations and three variables is equivale...
c_83hzy7k50teu
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
McCune et al. also found a longer single axiom for Boolean algebra based on disjunction and negation.In 1933, Edward Vermilye Huntington identified the axiom ¬ ( ¬ x ∨ y ) ∨ ¬ ( ¬ x ∨ ¬ y ) = x {\displaystyle {\neg ({\neg x}\lor {y})}\lor {\neg ({\neg x}\lor {\neg y})}=x} as being equivalent to Boolean algebra, when co...
c_6hsb7jr7zv07
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
The conjecture was eventually proved in 1996 with the aid of theorem-proving software. This proof established that the Robbins axiom, together with associativity and commutativity, form a 3-basis for Boolean algebra. The existence of a 2-basis was established in 1967 by Carew Arthur Meredith: ¬ ( ¬ x ∨ y ) ∨ x = x , {\...
c_xhn703xmuq4s
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
{\displaystyle \neg ({\neg x}\lor y)\lor (z\lor y)=y\lor (z\lor x).} The following year, Meredith found a 2-basis in terms of the Sheffer stroke: ( x ∣ x ) ∣ ( y ∣ x ) = x , {\displaystyle (x\mid x)\mid (y\mid x)=x,} x | ( y ∣ ( x ∣ z ) ) = ( ( z ∣ y ) ∣ y ) ∣ x .
c_26ggungobjiy
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
{\displaystyle x|(y\mid (x\mid z))=((z\mid y)\mid y)\mid x.} In 1973, Padmanabhan and Quackenbush demonstrated a method that, in principle, would yield a 1-basis for Boolean algebra.
c_k5k0wep2ez4c
Minimal axioms for Boolean algebra
Summary
Minimal_axioms_for_Boolean_algebra
Applying this method in a straightforward manner yielded "axioms of enormous length", thereby prompting the question of how shorter axioms might be found. This search yielded the 1-basis in terms of the Sheffer stroke given above, as well as the 1-basis ¬ ( ¬ ( ¬ ( x ∨ y ) ∨ z ) ∨ ¬ ( x ∨ ¬ ( ¬ z ∨ ¬ ( z ∨ u ) ) ) ) = ...
c_fuzcmrl8egej
Homogeneous model
Summary
Homogeneous_model
In mathematical logic, model theory is the study of the relationship between formal theories (a collection of sentences in a formal language expressing statements about a mathematical structure), and their models (those structures in which the statements of the theory hold). The aspects investigated include the number ...
c_f4tngc2bkmy2
Homogeneous model
Summary
Homogeneous_model
Since the 1970s, the subject has been shaped decisively by Saharon Shelah's stability theory. Compared to other areas of mathematical logic such as proof theory, model theory is often less concerned with formal rigour and closer in spirit to classical mathematics. This has prompted the comment that "if proof theory is ...
c_lfq6v9mfkor0
Homogeneous model
Summary
Homogeneous_model
The applications of model theory to algebraic and Diophantine geometry reflect this proximity to classical mathematics, as they often involve an integration of algebraic and model-theoretic results and techniques. Consequently, proof theory is syntactic in nature, in contrast to model theory, which is semantic in natur...
c_dm0kwse7wka6
Monadic second-order
Summary
Monadic_second-order_logic
In mathematical logic, monadic second-order logic (MSO) is the fragment of second-order logic where the second-order quantification is limited to quantification over sets. It is particularly important in the logic of graphs, because of Courcelle's theorem, which provides algorithms for evaluating monadic second-order f...
c_yr7qypifwq1d
Monadic second-order
Summary
Monadic_second-order_logic
Second-order logic allows quantification over predicates. However, MSO is the fragment in which second-order quantification is limited to monadic predicates (predicates having a single argument). This is often described as quantification over "sets" because monadic predicates are equivalent in expressive power to sets ...
c_n8aroljf0kw9
Monoidal t-norm logic
Summary
Monoidal_t-norm_logic
In mathematical logic, monoidal t-norm based logic (or shortly MTL), the logic of left-continuous t-norms, is one of the t-norm fuzzy logics. It belongs to the broader class of substructural logics, or logics of residuated lattices; it extends the logic of commutative bounded integral residuated lattices (known as Höhl...
c_139uh0kuvdnk
Extension by definitions
Summary
Definitional_extension
In mathematical logic, more specifically in the proof theory of first-order theories, extensions by definitions formalize the introduction of new symbols by means of a definition. For example, it is common in naive set theory to introduce a symbol ∅ {\displaystyle \emptyset } for the set that has no member. In the form...
c_o7ax95anzhqt
Positive formula
Summary
Positive_formula
In mathematical logic, positive set theory is the name for a class of alternative set theories in which the axiom of comprehension holds for at least the positive formulas ϕ {\displaystyle \phi } (the smallest class of formulas containing atomic membership and equality formulas and closed under conjunction, disjunction...
c_sqeh945pv78m
Predicate functor logic
Summary
Predicate_functor_logic
In mathematical logic, predicate functor logic (PFL) is one of several ways to express first-order logic (also known as predicate logic) by purely algebraic means, i.e., without quantified variables. PFL employs a small number of algebraic devices called predicate functors (or predicate modifiers) that operate on terms...
c_he3oe69w10c7
Projective determinacy
Summary
Projective_determinacy
In mathematical logic, projective determinacy is the special case of the axiom of determinacy applying only to projective sets. The axiom of projective determinacy, abbreviated PD, states that for any two-player infinite game of perfect information of length ω in which the players play natural numbers, if the victory s...
c_1h340761ij9p
Projective determinacy
Summary
Projective_determinacy
PD follows from certain large cardinal axioms, such as the existence of infinitely many Woodin cardinals. PD implies that all projective sets are Lebesgue measurable (in fact, universally measurable) and have the perfect set property and the property of Baire. It also implies that every projective binary relation may b...
c_2kenefz5ck0m
RecycleUnits
Summary
RecycleUnits
In mathematical logic, proof compression by RecycleUnits is a method for compressing propositional logic resolution proofs. Its main idea is to make use of intermediate (e.g. non input) proof results being unit clauses, i.e. clauses containing only one literal. Certain proof nodes can be replaced with the nodes represe...
c_rvhceqq7pbh5
Resolution proof compression by splitting
Summary
Resolution_proof_compression_by_splitting
In mathematical logic, proof compression by splitting is an algorithm that operates as a post-process on resolution proofs. It was proposed by Scott Cotton in his paper "Two Techniques for Minimizing Resolution Proof".The Splitting algorithm is based on the following observation: Given a proof of unsatisfiability π {\d...
c_s3ui364xm1sv
Resolution proof compression by splitting
Summary
Resolution_proof_compression_by_splitting
During the construction of the sequence, if a proof π j {\displaystyle \pi _{j}} happens to be too large, π j + 1 {\displaystyle \pi _{j+1}} is set to be the smallest proof in { π 1 , π 2 , … , π j } {\displaystyle \{\pi _{1},\pi _{2},\ldots ,\pi _{j}\}} . For achieving a better compression/time ratio, a heuristic for ...
c_598dmyx185g4
Well-formed formulas
Summary
Well-formed_formulas
In mathematical logic, propositional logic and predicate logic, a well-formed formula, abbreviated WFF or wff, often simply formula, is a finite sequence of symbols from a given alphabet that is part of a formal language. A formal language can be identified with the set of formulas in the language. A formula is a synta...
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Realizability
Summary
Realizability
In mathematical logic, realizability is a collection of methods in proof theory used to study constructive proofs and extract additional information from them. Formulas from a formal theory are "realized" by objects, known as "realizers", in a way that knowledge of the realizer gives knowledge about the truth of the fo...
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Realizability
Summary
Realizability
Most variants of realizability begin with a theorem that any statement that is provable in the formal system being studied is realizable. The realizer, however, usually gives more information about the formula than a formal proof would directly provide. Beyond giving insight into intuitionistic provability, realizabili...
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Second-order arithmetic
Summary
Second-order_arithmetic
In mathematical logic, second-order arithmetic is a collection of axiomatic systems that formalize the natural numbers and their subsets. It is an alternative to axiomatic set theory as a foundation for much, but not all, of mathematics. A precursor to second-order arithmetic that involves third-order parameters was in...
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Second-order arithmetic
Summary
Second-order_arithmetic
The standard axiomatization of second-order arithmetic is denoted by Z2. Second-order arithmetic includes, but is significantly stronger than, its first-order counterpart Peano arithmetic. Unlike Peano arithmetic, second-order arithmetic allows quantification over sets of natural numbers as well as numbers themselves.
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Second-order arithmetic
Summary
Second-order_arithmetic
Because real numbers can be represented as (infinite) sets of natural numbers in well-known ways, and because second-order arithmetic allows quantification over such sets, it is possible to formalize the real numbers in second-order arithmetic. For this reason, second-order arithmetic is sometimes called "analysis".Sec...
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Second-order arithmetic
Summary
Second-order_arithmetic
A subsystem of second-order arithmetic is a theory in the language of second-order arithmetic each axiom of which is a theorem of full second-order arithmetic (Z2). Such subsystems are essential to reverse mathematics, a research program investigating how much of classical mathematics can be derived in certain weak sub...
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Sequent calculus
Summary
Sequent_calculus
In mathematical logic, sequent calculus is a style of formal logical argumentation in which every line of a proof is a conditional tautology (called a sequent by Gerhard Gentzen) instead of an unconditional tautology. Each conditional tautology is inferred from other conditional tautologies on earlier lines in a formal...
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Sequent calculus
Summary
Sequent_calculus
Sequent calculus is one of several extant styles of proof calculus for expressing line-by-line logical arguments. Hilbert style. Every line is an unconditional tautology (or theorem).
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Sequent calculus
Summary
Sequent_calculus
Gentzen style. Every line is a conditional tautology (or theorem) with zero or more conditions on the left.
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Sequent calculus
Summary
Sequent_calculus
Natural deduction. Every (conditional) line has exactly one asserted proposition on the right. Sequent calculus.
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Sequent calculus
Summary
Sequent_calculus
Every (conditional) line has zero or more asserted propositions on the right.In other words, natural deduction and sequent calculus systems are particular distinct kinds of Gentzen-style systems. Hilbert-style systems typically have a very small number of inference rules, relying more on sets of axioms. Gentzen-style s...
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Sequent calculus
Summary
Sequent_calculus
Gentzen-style systems have significant practical and theoretical advantages compared to Hilbert-style systems. For example, both natural deduction and sequent calculus systems facilitate the elimination and introduction of universal and existential quantifiers so that unquantified logical expressions can be manipulated...
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Sequent calculus
Summary
Sequent_calculus
This very much parallels the way in which mathematical proofs are carried out in practice by mathematicians. Predicate calculus proofs are generally much easier to discover with this approach, and are often shorter. Natural deduction systems are more suited to practical theorem-proving. Sequent calculus systems are mor...
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Computable real function
Summary
Computable_real_function
In mathematical logic, specifically computability theory, a function f: R → R {\displaystyle f\colon \mathbb {R} \to \mathbb {R} } is sequentially computable if, for every computable sequence { x i } i = 1 ∞ {\displaystyle \{x_{i}\}_{i=1}^{\infty }} of real numbers, the sequence { f ( x i ) } i = 1 ∞ {\displaystyle \{f...