Aggregate demand
Sportspersons Hyslop from Nicolet, usually spends time with pastimes for example martial arts, property developers condominium in singapore singapore and hot rods. Maintains a trip site and has lots to write about after touring Gulf of Porto: Calanche of Piana. This is a list of rules of inference, logical laws that relate to mathematical formulae.
Introduction
Rules of inference are syntactical transform rules which one can use to infer a conclusion from a premise to create an argument. A set of rules can be used to infer any valid conclusion if it is complete, while never inferring an invalid conclusion, if it is sound. A sound and complete set of rules need not include every rule in the following list, as many of the rules are redundant, and can be proven with the other rules.
Discharge rules permit inference from a subderivation based on a temporary assumption. Below, the notation
indicates such a subderivation from the temporary assumption to .
Rules for classical sentential calculus
Sentential calculus is also known as propositional calculus.
Rules for negations
- Reductio ad absurdum (or Negation Introduction)
- Reductio ad absurdum (related to the law of excluded middle)
- Noncontradiction (or Negation Elimination)
Rules for conditionals
- Modus ponens (or Conditional Elimination)
Rules for conjunctions
- Adjunction (or Conjunction Introduction)
- Simplification (or Conjunction Elimination)
Rules for disjunctions
- Addition (or Disjunction Introduction)
Rules for biconditionals
Rules of classical predicate calculus
In the following rules, is exactly like except for having the term everywhere has the free variable .
- Universal Introduction (or Universal Generalization)
Restriction 1: does not occur in .
Restriction 2: is not mentioned in any hypothesis or undischarged assumptions.
- Universal Elimination (or Universal Instantiation)
Restriction: No free occurrence of in falls within the scope of a quantifier quantifying a variable occurring in .
Restriction: No free occurrence of in falls within the scope of a quantifier quantifying a variable occurring in .
Restriction 1: No free occurrence of in falls within the scope of a quantifier quantifying a variable occurring in .
Restriction 2: There is no occurrence, free or bound, of in .
Table: Rules of Inference - a short summary
The rules above can be summed up in the following table.[1] The "Tautology" column shows how to interpret the notation of a given rule.
Rule of inference | Tautology | Name |
---|---|---|
Addition | ||
Simplification | ||
Conjunction | ||
Modus ponens | ||
Modus tollens | ||
Hypothetical syllogism | ||
Disjunctive syllogism | ||
Resolution |
All rules use the basic logic operators. A complete table of "logic operators" is shown by a truth table, giving definitions of all the possible (16) truth functions of 2 boolean variables (p, q):
p | q | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T | T | F | F | F | F | F | F | F | F | T | T | T | T | T | T | T | T | ||
T | F | F | F | F | F | T | T | T | T | F | F | F | F | T | T | T | T | ||
F | T | F | F | T | T | F | F | T | T | F | F | T | T | F | F | T | T | ||
F | F | F | T | F | T | F | T | F | T | F | T | F | T | F | T | F | T |
where T = true and F = false, and, the columns are the logical operators: 0, false, Contradiction; 1, NOR, Logical NOR; 2, Converse nonimplication; 3, ¬p, Negation; 4, Material nonimplication; 5, ¬q, Negation; 6, XOR, Exclusive disjunction; 7, NAND, Logical NAND; 8, AND, Logical conjunction; 9, XNOR, If and only if, Logical biconditional; 10, q, Projection function; 11, if/then, Logical implication; 12, p, Projection function; 13, then/if, Converse implication; 14, OR, Logical disjunction; 15, true, Tautology.
Each logic operator can be used in an assertion about variables and operations, showing a basic rule of inference. Examples:
- The column-14 operator (OR), shows Addition rule: when p=T (the hypothesis selects the first two lines of the table), we see (at column-14) that p∨q=T.
- We can see also that, with the same premise, another conclusions are valid: columns 12, 14 and 15 are T.
- The column-8 operator (AND), shows Simplification rule: when p∧q=T (first line of the table), we see that p=T.
- With this premise, we also conclude that q=T, p∨q=T, etc. as showed by columns 9-15.
- The column-11 operator (IF/THEN), shows Modus ponens rule: when p→q=T and p=T only one line of the truth table (the first) satisfies these two conditions. On this line, q is also true. Therefore, whenever p → q is true and p is true, q must also be true.
Machines and well-trained people use this look at table approach to do basic inferences, and to check if other inferences (for the same premises) can be obtained.
Example 1
Let us consider the following assumptions: "If it rains today, then we will not go on a canoe today. If we do not go on a canoe trip today, then we will go on a canoe trip tomorrow. Therefore (Mathematical symbol for "therefore" is ), if it rains today, we will go on a canoe trip tomorrow. To make use of the rules of inference in the above table we let be the proposition "If it rains today", be " We will not go on a canoe today" and let be "We will go on a canoe trip tomorrow". Then this argument is of the form:
Example 2
Let us consider a more complex set of assumptions: "It is not sunny today and it is colder than yesterday". "We will go swimming only if it is sunny", "If we do not go swimming, then we will have a barbecue", and "If we will have a barbecue, then we will be home by sunset" lead to the conclusion "We will be home before sunset." Proof by rules of inference: Let be the proposition "It is sunny this today", the proposition "It is colder than yesterday", the proposition "We will go swimming", the proposition "We will have a barbecue", and the proposition "We will be home by sunset". Then the hypotheses become and . Using our intuition we conjecture that the conclusion might be . Using the Rules of Inference table we can proof the conjecture easily:
References
- ↑ Kenneth H. Rosen: Discrete Mathematics and its Applications,Fifth Edition, p. 58.
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