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Truth value

Truth value is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Truth value rather than just read about it. In short: In logic and mathematics, a truth value, sometimes called a logical value, is a value indicating the relation of a proposition to truth, which in classical logic has only two possible values (true or false). Truth values are used in computing as well as various types of logic.

Key takeaways

  • Truth value belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Truth value to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Truth value from memory before moving on to harder problems.

Reference excerpt

In logic and mathematics, a truth value, sometimes called a logical value, is a value indicating the relation of a proposition to truth, which in classical logic has only two possible values (true or false). Truth values are used in computing as well as various types of logic.

Computing

In some programming languages, any expression can be evaluated in a context that expects a Boolean data type. Typically (though this varies by programming language) expressions like the number zero, the empty string, empty lists, and null are treated as false, and strings with content (like "abc"), other numbers, and objects evaluate to true. Sometimes these classes of expressions are called falsy and truthy. For example, in Lisp, nil, the empty list, is treated as false, and all other values are treated as true. In C, the number 0 or 0.0 is false, and all other values are treated as true. In JavaScript, the empty string (""), null, undefined, NaN, +0, −0 and false are sometimes called falsy (of which the complement is truthy) to distinguish between strictly type-checked and coerced Booleans (see also: JavaScript syntax#Type conversion). As opposed to Python, empty containers (arrays, maps, sets) are considered truthy. Languages such as PHP also use this approach.

Classical logic

In classical logic, with its intended semantics, the truth values are true (denoted by 1 or the verum ⊤), and untrue or false (denoted by 0 or the falsum ⊥); that is, classical logic is a two-valued logic. This set of two values is also called the Boolean domain. Corresponding semantics of logical connectives are truth functions, whose values are expressed in the form of truth tables. Logical biconditional becomes the equality binary relation, and negation becomes a bijection which permutes true and false. Conjunction and disjunction are dual with respect to negation, which is expressed by De Morgan's laws:

¬(p ∧ q) ⇔ ¬p ∨ ¬q ¬(p ∨ q) ⇔ ¬p ∧ ¬q Propositional variables become variables in the Boolean domain. Assigning values for propositional variables is referred to as valuation. All possible combinations of values:

Intuitionistic and constructive logic

Whereas in classical logic truth values form a Boolean algebra, in intuitionistic logic, and more generally, constructive mathematics, the truth values form a Heyting algebra. Such truth values may express various aspects of validity, including locality, temporality, or computational content. For example, one may use the open sets of a topological space as intuitionistic truth values, in which case the truth value of a formula expresses where the formula holds, not whether it holds. In realizability truth values are sets of programs, which can be understood as computational evidence of validity of a formula. For example, the truth value of the statement "for every number there is a prime larger than it" is the set of all programs that take as input a number n, and output a prime larger than n. In category theory, truth values appear as the elements of the subobject classifier. In particular, in an elementary topos every formula of higher-order logic may be assigned a truth value in the subobject classifier. Even though a Heyting algebra may have many elements, this should not be understood as there being truth values that are neither true nor false, because intuitionistic logic proves ¬(p ≠ ⊤ ∧ p ≠ ¬⊥) ("it is not the case that p is neither true nor false"). In intuitionistic type theory, the Curry–Howard correspondence exhibits an equivalence of propositions and types, according to which validity is equivalent to inhabitation of a type. For other notions of intuitionistic truth values, see Brouwer–Heyting–Kolmogorov interpretation and Intuitionistic logic § Semantics.

Multi-valued logic Multi-valued logics (such as fuzzy logic and relevance logic) allow for more than two truth values, possibly containing some internal structure. For example, on the unit interval [0, 1] such structure is a total order; this may be expressed as the existence of various degrees of truth.

Algebraic semantics

Not all logical systems are truth-valuational in the sense that logical connectives may be interpreted as truth functions. For example, intuitionistic logic lacks a complete set of truth values because its semantics, the Brouwer–Heyting–Kolmogorov interpretation, is specified in terms of provability conditions, and not directly in terms of the necessary truth of formulae. But even non-truth-valuational logics can associate values with logical formulae, as is done in algebraic semantics. The algebraic semantics of intuitionistic logic is given in terms of Heyting algebras, compared to Boolean algebra semantics of classical propositional calculus.

See also

Bayesian probability Circular reasoning Degree of truth False dilemma History of logic § Algebraic period Paradox Semantic theory of truth Slingshot argument Supervaluationism Truth-value semantics Verisimilitude

References

External links Shramko, Yaroslav; Wansing, Heinrich. "Truth Values". In Zalta, Edward N. (ed.). Stanford Encyclopedia of Philosophy. ISSN 1095-5054. OCLC 429049174.

Worked examples

Example 1 — a first encounter with Truth value

Start with the simplest possible case. Write down what Truth value claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Truth value before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Truth value ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Truth value

In research
Truth value appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Truth value in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Truth value is common in secondary-school and first-year university syllabi. It links to neighbouring topics Concepts in epistemology, Concepts in logic, Logical truth, so understanding it makes those chapters shorter.
In everyday life
Look for Truth value outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Truth value in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Truth value means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Truth value out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Truth value in simple terms?

In logic and mathematics, a truth value, sometimes called a logical value, is a value indicating the relation of a proposition to truth, which in classical logic has only two possible values (true or false). Truth values are used in computing as well as various types of logic.

Why does Truth value matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Truth value?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Truth value.

Tags

  • Concepts in epistemology
  • Concepts in logic
  • Logical truth
  • Propositions

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