Lindenbaum method
Lindenbaum method (propositional language)
Lindenbaum method is named after the Polish logician Adolf Lindenbaum who prematurely and without a clear trace disappeared in the turmoil of the Second World War at the age of about 37. (Cf.[15].) The method is based on the symbolic nature of formalized languages of deductive systems and opens a gate for applications of algebra to logic and, thereby, to Abstract algebraic logic.
Lindenbaum's theorem
A formal propositional language, say , is understood as a nonempty set \mathcal{V} of symbols p_0, p_1,... p_{\gamma}... called propositional variables and a finite set \Pi of symbols F_0, F_1,..., F_n called logical connectives. By \overline{\overline{Vr_\mathcal{V}}} we denote the cardinality of Vr_\mathcal{V}. For each connective F_i, there is a natural number \#(F_i) called the arity of the connective F_i. The notion of a statement (or a formula) is defined as follows:
(f_1) | Each variable p\in\mathcal{V} is a formula; |
(f_2) | If F_i is a connective of the arity 0, then F_i is a formula; |
(f_3) | If A_1, A_2,..., A_n, n\geq 1, are formulas, and F_i is a connective of arity n}, then the symbolic expression F_{n}A_{1}A_{2}... A_n is a formula; |
(f_4) | A formula can be constructed only according to the rules (f_1)-(f_3). |
The set of formulas will be denoted by Fr_\mathcal{L} and P(Fr_\mathcal{L}) denotes the power set of Fr_\mathcal{L}. Given a set X \subseteq Fr_\mathcal{L}, we denote by Vr(X) the set of propositional variables that occur in the formulas of X. Two formulas are counted equal if they are represented by two copies of the same string of symbols. (This is the key observation on which Theorem 1 is grounded.) Another key observation (due to Lindenbaum) is that Fr_\mathcal{L} along with the connectives \Pi can be regarded as an algebra of the similarity type associated with \mathcal{L}, which exemplifies an \mathcal{L}-algebra. We denote this algebra by \mathfrak{F}_\mathcal{L}. The importance of \mathfrak{F}_\mathcal{L} can already be seen from the following observation.
Theorem 1. Algebra \mathfrak{F}_\mathcal{L} is a free algebra of rank \overline{\overline{\mathcal{V}}} with free generators \mathcal{V} in the class (variety) of all \mathcal{L}-algebras. In other words, \mathfrak{F}_\mathcal{L} is an absolutely free algebra of this class.
A useful feature of the set Fr_\mathcal{L} is that it is closed under (simultaneous) substitution. More than that, any substitution \sigma is an endomorphism
\sigma: \mathfrak{F}_\mathcal{L}\longrightarrow \mathfrak{F}_\mathcal{L}.
A monotone deductive system (or a deductive system or simply a system) is a relation between subsets and elements of Fr_\mathcal{L}. Each such system \vdash_S is subject to the following conditions: For all X,Y \subseteq \mathfrak{Fr}_\mathcal{L},
(s_1) | if A \in X, then X \ \vdash_\mathcal{S} \ A; |
(s_2) | if X \ \vdash_\mathcal{S} \ B for all B \in Y, and Y \ \vdash_\mathcal{S} \ A, then X \ \vdash_\mathcal{S} \ A; |
(s_3) | if X \ \vdash_\mathcal{S} \ A, then for every substitution \sigma, \sigma[X] \ \vdash_\mathcal{S} \ \sigma(A). |
If A is a formula and \sigma is a substitution, \sigma(A) is called a substitution instance of A. Thus, by \sigma[X] above, one means the instances of the formulas of X with respect to \sigma.
Given two sets Y and X, we write
\quad \quad \quad Y \sqsubseteq X
if Y is a finite (may be empty) subset of X.
A deductive system is said to be finitary if, in addition, it satisfies the following:
(s_4) | if X \ \vdash_\mathcal{S} \ A, then there is Y \sqsubseteq X such that Y \ \vdash_\mathcal{S} \ A. |
We note that the monotonicity property
\quad \quad \quad \quad if X \subseteq Y and X \ \vdash_\mathcal{S} \ A, then Y \ \vdash_\mathcal{S} \ A
is not postulated, because it follows from (s_1) and (s_2).
Each deductive system \vdash_\mathcal{S} induces the (monotone structural) consequence operator Cn_{\mathcal{S}} defined on the power set of Fr_\mathcal{L} as follows: For every X \subseteq Fr_\mathcal{L},
\quad \quad \quad \quad A \in Cn_\mathcal{S}(X) \Longleftrightarrow X \ \vdash_\mathcal{S} \ A, \quad \quad \quad \quad \quad \quad \quad \quad (1)
so that the following conditions are fulfilled: For all X,Y \subseteq Fr_\mathcal{L} and any substitution \sigma,
(c_1) | X \subseteq Cn_\mathcal{S}(X); | (Reflexivity) |
(c_2) | Cn_\mathcal{S}(Cn_\mathcal{S}(X)) = Cn_\mathcal{S}(X); | (Idenpotency) |
(c_3) | if X \subseteq Y, then Cn_\mathcal{S}(X) \subseteq Cn_\mathcal{S}(Y); | (Monotonicity) |
(c_4) | \sigma[Cn_\mathcal{S}(X)] \subseteq Cn_\mathcal{S}(\sigma[X]). | (Structurality) |
If \vdash_\mathcal{S} is finitary, then
(c_5) | Cn_\mathcal{S}(X) = \bigcup\lbrace Cn_\mathcal{S}(Y) \ | \ Y \Subset X \rbrace |
in which case Cn_{\mathcal{S}} is called finitary.
Conversely, if an operator Cn:\cal{P}(Fr_\mathcal{L})\rightarrow \cal{P}(Fr_\mathcal{L}) satisfies the conditions (c_1)-(c_4) (with Cn instead of Cn_\mathcal{S}), then the equivalence
\quad \quad \quad \quad X \ \vdash_\mathcal{S} \ A \Longleftrightarrow A \in {Cn}(X)defines a deductive system, \mathcal{S}. Thus (1) allows one to use the deductive system and consequence operator (in a fixed formal language) interchangeably or even in one and the same context. For instance, we call T_\mathcal{S} = Cn_\mathcal{L}(\emptyset) the set of theorems of the system \vdash_\mathcal{S} (i.e. \mathcal{S}-theorems), and given a subset X \subseteq Fr_\mathcal{S}, Cn-|mathcal{S}{X} is called the \mathcal{S}-theory generated by X. A subset X \subseteq Fr_\mathcal{S}, as well as the theory Cn_\mathcal{S}(X), is called inconsistent if Cn_\mathcal{S}(X) = Fr_\mathcal{S}; otherwise both are consistent. Thus, given a system \vdash_\mathcal{S}, T_\mathcal{S} is one of the system's theories; that is to say, if X \subseteq T_\mathcal{S} and X \vdash_\mathcal{S} A, then A \in T_\mathcal{S}. This simple observation sheds light on the central idea of Lindenbaum method, which will be explained soon. For now, let us fix the ordered pair \left<\mathcal{F}_\mathcal{L},T\mathcal{L}\right> and call it a Lindenbaum matrix. (The full definition will be given later.) We note that an operator Cn satisfying (c_1)-(c_3) can be obtained from a "closure system" over Fr_\mathcal{L}; that is for any subset \cal{A}\subseteq P(Fr_\mathcal{L}), which is closed under arbitrary intersection, we define:
\quad \quad \quad \quad Cn_\mathcal{A}(X)=\cap \lbrace Y \ | \ X \subseteq Y \mbox{ and } Y \in \cal{A} \rbrace.Another way of defining deductive systems is through the use of logical matrices. Given a language \mathcal{L}, a logical \mathcal{L}-matrix (or simply a matrix) is a pair \mathcal{M} = \left<\mathfrak{A},\mathcal{F}\right>, where \mathfrak{A} is an \mathcal{L}-algebra and \mathcal{F}\subseteq|\mathfrak{A}|, where the latter is the universe of \mathfrak{A}. The set \mathcal{F} is called the filter of the matrix and its elements are called designated. Given a matrix \mathcal{M} = \left<\mathfrak{A},\mathcal{F}\right>, the cardinality of |\mathfrak{A}| is also the cardinality of \mathcal{M}.
Given a matrix \mathcal{M}=\left<\mathfrak{A},\mathcal{F}\right>, any homomorphism of \mathfrak{A} into {\mathfrak{A}} is called a valuation (or an assignment). Each such homomorphism can be obtained simply by assigning elements of |\mathfrak{A}| to the variables of Vr_\mathcal{L}, since, by virtue of Theorem 1, any v: Vr_\mathcal{L} \longrightarrow |\mathfrak{A}| can be extended uniquely to a homomorphism \hat{v}: \mathfrak{A} \longrightarrow \mathfrak{A}. Usually, v is meant under a valuation (or an assignment) of variables in a matrix.
Now let \sigma be a substitution and v be any assignment in an algebra {\mathfrak{A}}. Then, defining
\quad \quad \quad \quad v_{\sigma}=v\circ\sigma, \quad \quad \quad \quad \quad \quad \quad \quad (2)
we observe that v_{\sigma} is also an assignment in \mathfrak{A}.
With each matrix \mathcal{M}=\left<\mathfrak{A},\mathcal{F}\right>, we associate a relation \models_\mathcal{M} between subsets of Fr_\mathcal{L} and formulas of Fr_\mathcal{L}. Namely we define
\quad \quad \quad \quad X \ \models_\mathcal{M} \ A \Longleftrightarrow \text{ for every assignment } v, \text{ if } v[X]\subseteq \mathcal{F}, \text{ then } v(A)\in \mathcal{F}.
Then, we observe that the following properties hold:
(m_1) | if A \in X, then X \ \models_\mathcal{M} \ A |
(m_2) | if X\models_\mathcal{M} B for all B\in Y, and Y \ \models_\mathcal{M} \ A, then X \ \models_\mathcal{M} \ A. |
Also, with help of the definition (2), we derive the following:
(m_3) | if X \ \models_\mathcal{M} \ A, then for every substitution \sigma, \sigma[X] \ \models_\mathcal{M} \ \sigma(A). |
Comparing the condition (m_1)-(m_3) with (s_1)-(s_3), we conclude that every matrix defines a structural deductive system and hence, in view of (1), a structural consequence operator.
Given a system \mathcal{S}, suppose a matrix \mathcal{M}=\left<\mathfrak{A},\mathcal{F}\right> satisfies the condition
\quad \quad \quad \quad if X \ \vdash_\mathcal{S} A and v[X] \subseteq \mathcal{F}, then v(A) \in \mathcal{F} \quad \quad \quad \quad (3)
Then the filter \mathcal{F} is called an \mathcal{S}-filter and the matrix \mathcal{M} is called an \mathcal{S}-matrix (or an \mathcal{S}-model). In view of (3), \mathcal{S}-matrices are an important tool in showing that X \ \vdash_\mathcal{S} \ A does not hold. This idea has been employed in proving that one axiom is independent from a group of others in the search for an independent axiomatic system, as well as for semantic completeness results.
As Lindenbaum's famous theorem below explains, every structural system \mathcal{S} has an \mathcal{S}-model.
Theorem 2. For any structural deductive system \mathcal{S}, the matrix \left<Fr_\mathcal{L},Cn_\mathcal{S}(\emptyset)\right> is an \mathcal{S}-model. Moreover, for any formula A,
\quad \quad \quad \quad A \in T_\mathcal{S} \Longleftrightarrow v(A)\in Cn_\mathcal{S}(\emptyset) for any valuation v.
Lindenbaum method. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Lindenbaum_method&oldid=29615