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Negation

Negation 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 Negation rather than just read about it. In short: In logic, negation, also called the logical not or logical complement, is an operation that takes a proposition P {\displaystyle P} to another proposition "not P {\displaystyle P} ", written ¬ P {\displaystyle \neg P} , ∼ P {\displaystyle {\mathord {\sim }}P} , P ′ {\displaystyle P^{\prime }} or P ¯ {\displaystyle {\overline {P}}} . It is interpreted intuitively as being true when P {\displaystyle P} is false, and f…

Negation — main illustration
Negation — illustration

Key takeaways

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

Reference excerpt

In logic, negation, also called the logical not or logical complement, is an operation that takes a proposition P {\displaystyle P} to another proposition "not P {\displaystyle P} ", written ¬ P {\displaystyle \neg P} , ∼ P {\displaystyle {\mathord {\sim }}P} , P ′ {\displaystyle P^{\prime }} or P ¯ {\displaystyle {\overline {P}}} . It is interpreted intuitively as being true when P {\displaystyle P} is false, and false when P {\displaystyle P} is true. For example, if P {\displaystyle P} is "The dog runs", then "not P {\displaystyle P} " is "The dog does not run". An operand of a negation is called a negand or negatum. Negation is a unary logical connective. It may furthermore be applied not only to propositions, but also to notions, truth values, or semantic values more generally. In classical logic, negation is normally identified with the truth function that takes truth to falsity (and vice versa). In intuitionistic logic, according to the Brouwer–Heyting–Kolmogorov interpretation, the negation of a proposition P {\displaystyle P} is the proposition whose proofs are the refutations of P {\displaystyle P} .

Definition Classical negation is an operation on one logical value, typically the value of a proposition, that produces a value of true when its operand is false, and a value of false when its operand is true. Thus if statement P {\displaystyle P} is true, then ¬ P {\displaystyle \neg P} (pronounced "not P") would then be false; and conversely, if ¬ P {\displaystyle \neg P} is true, then P {\displaystyle P} would be false. The truth table of ¬ P {\displaystyle \neg P} is as follows:

Negation can be defined in terms of other logical operations. For example, ¬ P {\displaystyle \neg P} can be defined as P → ⊥ {\displaystyle P\rightarrow \bot } (where → {\displaystyle \rightarrow } is logical consequence and ⊥ {\displaystyle \bot } is absolute falsehood). Conversely, one can define ⊥ {\displaystyle \bot } as Q ∧ ¬ Q {\displaystyle Q\land \neg Q} for any proposition Q (where ∧ {\displaystyle \land } is logical conjunction). The idea here is that any contradiction is false, and while these ideas work in both classical and intuitionistic logic, they do not work in paraconsistent logic, where contradictions are not necessarily false. As a further example, negation can be defined in terms of NAND and can also be defined in terms of NOR. Algebraically, classical negation corresponds to complementation in a Boolean algebra, and intuitionistic negation to pseudocomplementation in a Heyting algebra. These algebras provide a semantics for classical and intuitionistic logic.

Notation The negation of a proposition p is notated in different ways, in various contexts of discussion and fields of application. The following table documents some of these variants:

The notation N p {\displaystyle Np} is Polish notation. In set theory, ∖ {\displaystyle \setminus } is also used to indicate 'not in the set of': U ∖ A {\displaystyle U\setminus A} is the set of all members of U that are not members of A. Regardless how it is notated or symbolized, the negation ¬ P {\displaystyle \neg P} can be read as "it is not the case that P", "not that P", or usually more simply as "not P".

Precedence

As a way of reducing the number of necessary parentheses, one may introduce precedence rules: ¬ has higher precedence than ∧, ∧ higher than ∨, and ∨ higher than →. So for example, P ∨ Q ∧ ¬ R → S {\displaystyle P\vee Q\wedge {\neg R}\rightarrow S} is short for ( P ∨ ( Q ∧ ( ¬ R ) ) ) → S . {\displaystyle (P\vee (Q\wedge (\neg R)))\rightarrow S.}

Here is a table that shows a commonly used precedence of logical operators.

Properties

… excerpt ends here. Continue reading the full article.

Illustrations

Negation illustration

Worked examples

Example 1 — a first encounter with Negation

Start with the simplest possible case. Write down what Negation 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 Negation 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 Negation 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 Negation

In research
Negation 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 Negation 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
Negation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Formal semantics (natural language), Logical connectives, Semantics, so understanding it makes those chapters shorter.
In everyday life
Look for Negation 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 Negation in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Negation 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 Negation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Negation in simple terms?

In logic, negation, also called the logical not or logical complement, is an operation that takes a proposition P {\displaystyle P} to another proposition "not P {\displaystyle P} ", written ¬ P {\displaystyle \neg P} , ∼ P {\displaystyle {\mathord {\sim }}P} , P ′ {\displaystyle P^{\prime }} or P…

Why does Negation 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 Negation?

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 Negation.

Tags

  • Formal semantics (natural language)
  • Logical connectives
  • Semantics
  • Unary operations

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