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Logical truth
View on WikipediaLogical truth is one of the most fundamental concepts in logic. Broadly speaking, a logical truth is a statement which is true regardless of the truth or falsity of its constituent propositions. In other words, a logical truth is a statement which is not only true, but one which is true under all interpretations of its logical components (other than its logical constants). Thus, logical truths such as "if p, then p" can be considered tautologies. Logical truths are thought to be the simplest case of statements which are analytically true (or in other words, true by definition). All of philosophical logic can be thought of as providing accounts of the nature of logical truth, as well as logical consequence.[1]
Logical truths are generally considered to be necessarily true. This is to say that they are such that no situation could arise in which they could fail to be true. The view that logical statements are necessarily true is sometimes treated as equivalent to saying that logical truths are true in all possible worlds. However, the question of which statements are necessarily true remains the subject of continued debate.
Treating logical truths, analytic truths, and necessary truths as equivalent, logical truths can be contrasted with facts (which can also be called contingent claims or synthetic claims). Contingent truths are true in this world, but could have turned out otherwise (in other words, they are false in at least one possible world). Logically true propositions such as "If p and q, then p" and "All married people are married" are logical truths because they are true due to their internal structure and not because of any facts of the world (whereas "All married people are happy", even if it were true, could not be true solely in virtue of its logical structure).
Rationalist philosophers have suggested that the existence of logical truths cannot be explained by empiricism, because they hold that it is impossible to account for our knowledge of logical truths on empiricist grounds. Empiricists commonly respond to this objection by arguing that logical truths (which they usually deem to be mere tautologies), are analytic and thus do not purport to describe the world. The latter view was notably defended by the logical positivists in the early 20th century.
Logical truths and analytic truths
[edit]Logical truths, being analytic statements, do not contain any information about any matters of fact. Other than logical truths, there is also a second class of analytic statements, typified by "no bachelor is married". The characteristic of such a statement is that it can be turned into a logical truth by substituting synonyms for synonyms salva veritate. "No bachelor is married" can be turned into "no unmarried man is married" by substituting "unmarried man" for its synonym "bachelor".[citation needed]
In his essay Two Dogmas of Empiricism, the philosopher W. V. O. Quine called into question the distinction between analytic and synthetic statements. It was this second class of analytic statements that caused him to note that the concept of analyticity itself stands in need of clarification, because it seems to depend on the concept of synonymy, which stands in need of clarification. In his conclusion, Quine rejects that logical truths are necessary truths. Instead he posits that the truth-value of any statement can be changed, including logical truths, given a re-evaluation of the truth-values of every other statement in one's complete theory.[citation needed]
Truth values and tautologies
[edit]Considering different interpretations of the same statement leads to the notion of truth value. The simplest approach to truth values means that the statement may be "true" in one case, but "false" in another. In one sense of the term tautology, it is any type of formula or proposition which turns out to be true under any possible interpretation of its terms (may also be called a valuation or assignment depending upon the context). This is synonymous to logical truth.[citation needed]
However, the term tautology is also commonly used to refer to what could more specifically be called truth-functional tautologies. Whereas a tautology or logical truth is true solely because of the logical terms it contains in general (e.g. "every", "some", and "is"), a truth-functional tautology is true because of the logical terms it contains which are logical connectives (e.g. "or", "and", and "nor"). Not all logical truths are tautologies of such a kind.[citation needed]
Logical truth and logical constants
[edit]Logical constants, including logical connectives and quantifiers, can all be reduced conceptually to logical truth. For instance, two statements or more are logically incompatible if, and only if their conjunction is logically false. One statement logically implies another when it is logically incompatible with the negation of the other. A statement is logically true if, and only if its opposite is logically false. The opposite statements must contradict one another. In this way all logical connectives can be expressed in terms of preserving logical truth. The logical form of a sentence is determined by its semantic or syntactic structure and by the placement of logical constants. Logical constants determine whether a statement is a logical truth when they are combined with a language that limits its meaning. Therefore, until it is determined how to make a distinction between all logical constants regardless of their language, it is impossible to know the complete truth of a statement or argument.[2]
Logical truth and rules of inference
[edit]The concept of logical truth is closely connected to the concept of a rule of inference.[3]
Logical truth and logical positivism
[edit]Logical positivism was a movement in the early 20th century that tried to reduce the reasoning processes of science to pure logic. Among other things, the logical positivists claimed that any proposition that is not empirically verifiable is neither true nor false, but nonsense.[citation needed]
Non-classical logics
[edit]Non-classical logic is the name given to formal systems which differ in a significant way from standard logical systems such as propositional and predicate logic. There are several ways in which this is done, including by way of extensions, deviations, and variations. The aim of these departures is to make it possible to construct different models of logical consequence and logical truth.[4]
See also
[edit]- Contradiction
- False (logic)
- Logical truth table, a mathematical table used in logic
- Satisfiability
- Tautology (logic) (for symbolism of logical truth)
- Theorem
- Validity
References
[edit]- ^ Quine, Willard Van Orman, Philosophy of logic
- ^ MacFarlane, J. (May 16, 2005). Logical Constants. Metaphysics Research Lab, Stanford University.
- ^ Alfred Ayer, Language, Truth, and Logic
- ^ Theodore Sider, (2010). Logic for philosophy
External links
[edit]Logical truth
View on GrokipediaFundamentals
Definition
A logical truth is a proposition that holds true in every possible world or interpretation, relying solely on its logical structure rather than any empirical or contingent content.[7] This independence from specific facts about the world distinguishes logical truths from other kinds of statements, ensuring their validity stems purely from the form of reasoning involved.[8] Formally, in the context of model theory, a sentence φ is a logical truth if it is true in every model, where a model is a structure consisting of a non-empty domain and an interpretation of the language's symbols.[9] This model-theoretic account captures the idea that logical truths are preserved across all possible assignments of meanings to non-logical terms, making them necessarily valid. The concept of logical truth traces its origins to Aristotle's syllogistic logic, where certain argument forms were recognized as invariably yielding true conclusions from true premises, independent of the particular terms used.[8] This idea was formalized in modern predicate logic by Gottlob Frege and Bertrand Russell, who developed systems to express general logical relations and truths through quantifiers and predicates.[10] For instance, the statement "All bachelors are unmarried" might appear logical but depends on the semantic connection between its terms; true logical truths, by contrast, depend only on form, such as the proposition , which is valid regardless of what denotes. Tautologies in propositional logic serve as simpler instances of such form-based truths.[7]Distinction from Other Truths
Logical truths differ fundamentally from contingent truths, which are propositions that obtain in some possible worlds but not in all others, relying on specific empirical circumstances rather than holding universally. For instance, the statement "It is raining now" exemplifies a contingent truth, as its veracity depends on observable facts at a particular time and place, and it could be false in alternative scenarios without contradiction.[11] In contrast, logical truths possess necessity, remaining true irrespective of empirical contingencies or variations in the world. This distinction extends to factual truths, which are typically contingent and verified through posteriori experience, requiring sensory evidence to confirm their status. Logical truths, however, bypass such empirical validation, deriving their certainty from the structure of reasoning itself rather than observation of particular events or states of affairs.[12] Immanuel Kant further delineates logical truths by aligning them closely with analytic judgments, where the predicate is contained within the subject concept, yielding truths that are informative only in an explicative sense without adding new content. Synthetic truths, by comparison, are ampliative, introducing predicates not inherent in the subject and thus providing genuinely new knowledge, often grounded in empirical relations as per Kant's framework.[13] While logical truths overlap with the analytic category, they emphasize formal necessity over mere definitional inclusion. The necessity of logical truths manifests a priori, known independently of experience and immune to revision by sensory data, in opposition to factual truths established posteriori through empirical testing. This a priori character underscores their non-empirical foundation, ensuring invariance across all conceivable contexts.[12] Willard Van Orman Quine partially challenges this framework by treating logical truths as a subset of analytic truths but questioning the sharpness of the analytic-synthetic divide, suggesting that no clear boundary separates meaning-based truths from those informed by experience.[14]Classical Logic
Tautologies and Truth Values
In classical propositional logic, a tautology is defined as a formula that evaluates to true for every possible assignment of truth values to its atomic propositions.[15] This property ensures that the formula's truth depends solely on its logical structure, independent of the specific content of the propositions involved.[16] Tautologies serve as the core exemplars of logical truths within this framework, capturing statements that are necessarily true due to the meanings of logical connectives.[17] Classical propositional logic employs binary truth values: true (T) and false (F).[15] These values are assigned to atomic propositions, and compound formulas are evaluated recursively using truth-functional connectives such as negation (¬), conjunction (∧), disjunction (∨), and implication (→).[16] To determine if a formula is a tautology, one constructs a truth table that exhaustively lists all possible combinations of truth values for the atomic propositions and computes the resulting value for the entire formula.[15] A classic example is the law of excluded middle, expressed as . The truth table for this formula is as follows:| T | F | T |
| F | T | T |
Logical Constants
In formal logic, logical constants are the fixed symbols that define the structural features responsible for the necessity of logical truths, distinguishing them from non-logical vocabulary whose interpretations can vary without affecting the logical form. In first-order logic, the standard logical constants comprise the truth-functional connectives—negation (¬), conjunction (∧), disjunction (∨), material implication (→), and biconditional (↔)—along with the universal quantifier (∀) and the existential quantifier (∃). These symbols operate uniformly across all models, preserving truth values based on their semantic definitions: for instance, ¬φ is true if and only if φ is false, while ∀x φ(x) holds if φ(x) is true for every element in the domain under a given interpretation.[19] The role of logical constants in guaranteeing logical truth stems from their invariance under reinterpretations of non-logical elements, such as predicates (e.g., P denoting "is even") or individual constants (e.g., c denoting a specific number). Alfred Tarski formalized this through the invariance criterion, arguing that a constant qualifies as logical if its extension remains unchanged by any permutation of the domain's elements, ensuring that sentences built from these constants are true in all structures regardless of how extra-logical terms are assigned meanings. This criterion underpins the semantic definition of logical consequence, where a formula follows from premises solely due to the arrangement of logical constants, not the content of predicates. For example, the formula ∀x (P(x) → P(x)) exemplifies a logical truth: its validity arises from the quantifier's scope and implication's semantics, holding true irrespective of whether P interprets as "is mortal" or any other unary predicate.[20] Debates persist over precisely which symbols merit inclusion as logical constants, particularly the identity predicate (=), which asserts indiscernibility between objects. Proponents argue for its logical status based on permutation invariance, as the relation {⟨a, b⟩ | a = b} is preserved under domain rearrangements, aligning with Tarski's criterion and enabling essential inferences like distinguishing domains with at least two elements via ∃x∃y (x ≠ y). Critics, however, contend that identity introduces substantive metaphysical commitments about objects, failing harmony tests in inferentialist frameworks where introduction and elimination rules do not balance without invoking non-logical coordination of variables; some systems thus treat = as a non-logical predicate to maintain logic's topic-neutrality. These discussions highlight the tension between semantic invariance and the boundaries of pure logical structure, influencing extensions beyond classical first-order logic.[21][22]Rules of Inference
In formal systems of classical logic, rules of inference provide the mechanisms for deriving new statements from existing ones while preserving truth. These rules ensure that if the premises are true, the conclusion must also be true, thereby maintaining the validity of logical derivations. Key examples include modus ponens, which allows inference of from and , and universal instantiation, which permits replacing a universally quantified variable with a specific term to obtain an instance of the quantified statement.[23][24] Logical truth can be understood syntactically as a theorem derivable from axioms using these rules of inference, or semantically as a statement true in all models of the system. In classical logic, the syntactic approach emphasizes formal proofs constructed step-by-step via inference rules applied to axioms and prior lines, while the semantic view assesses truth based on interpretations. The equivalence between these notions is established through soundness (every provable statement is semantically valid) and completeness (every semantically valid statement is provable).[23] Gödel's completeness theorem demonstrates that for first-order classical logic, all logical truths—formulas true in every model—are indeed provable using a suitable set of axioms and rules of inference, such as those in Hilbert-style or natural deduction systems.[23] A concrete illustration is the natural deduction proof of the tautology , which exemplifies how rules like implication elimination (modus ponens), negation introduction, and implication introduction derive logical truths:- Assume (hypothesis).
- Assume (hypothesis).
- Assume (hypothesis for subproof).
- From 1 and 3, infer (implication elimination).
- From 2 and 4, infer contradiction (negation elimination).
- Discharge 3, infer (negation introduction).
- Discharge 2, infer (implication introduction).
- Discharge 1, infer (implication introduction).
