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Quantifiers, Predicates and Validity

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Title: Quantifiers, Predicates and Validity


1
Quantifiers, Predicates and Validity
  • Sec. 1.3
  • Review prove the following argument is valid
  • A(AVB)?B

2
Motivating example --- Useful?
  • Express in propositional logic
  • If Xeon is a tiger, then Xeon has four limbs.
  • Q1 What are the atomic propositions and how do
    they form this proposition.
  • Q2-Q3 Is the proposition true or false? Why?
  • --------------------------------------------------
    ------------------------
  • A1 Let P Xeon is a tiger and Q Xeon has 4
    limbs. The (compound) proposition is represented
    by P?Q.
  • A2-A3 True! Conditional always true when P is
    false!
  • Q Why is this not satisfying?

3
Motivating example(cont.)
  • A We wanted this to be true because of the fact
    that tigers have 4 limbs and not because of some
    (important) non-semantic technicality in the
    truth table of implication.
  • But recall that propositional calculus
    doesnt take semantics into account so there is
    no way that P could impact on Q or affect the
    truth of P?Q.
  • Logical Quantifiers help to fix this problem. In
    our case the fix would look like
  • For all x, if x is a tiger then x has 4
    limbs.

4
Predicates
  • A predicate is a sentence which contains a finite
    number of variables and becomes a statement if
    particular values are substituted for the
    variables.
  • Properties of objects in a domain.
  • Examples
  • x gt 0
  • x y z
  • Predicates become propositions once every
    variable is bound
  • Assigning it a value from the Universe of
    Discourse
  • Denoted by U
  • Quantifying it
  • The domain of a predicate variable is the set of
    possible values which that variable can take.
  • A predicate is not a proposition until all
    variables have been bound either by
    quantification or assignment of a value!

5
Examples
  • Let U Z, the integers ... -2, -1, 0 , 1, 2,
    3, ...
  • P(x) x gt 0 is the predicate.
  • It has no truth value until the variable x is
    bound.
  • Examples where x is assigned a value
  • P(-3) is false
  • P(0) is false
  • P(3) is true
  • The collection of integers for which P(x) is true
    are the positive integers.
  • P(y) ? P(0) is not a proposition.
  • The variable y has not been bound.
  • However, P(3) ? P(0) is a proposition which is
    true.

6
Universal Quantifiers
  • P(x) is true for every x in the universe of
    Discourse (U).
  • Notation universal quantifier (?x) P(x)
  • For all x, P(x), For every x, P(x) For each
    x, P(x)
  • The variable x is bound by the universal
    quantifier producing a proposition.
  • True if all elements of U have the property P and
    false otherwise.
  • Example U1,2,3
  • (? x) P(x) ? P(1) ? P(2) ? P(3)

7
Existential Quantifiers
  • P(x) is true for some x in the universe of
    discourse (U).
  • Notation existential quantifier (?x) P(x)
  • There is an x such that P(x)
  • For some x, P(x)
  • For at least one x, P(x)
  • I can find an x such that P(x).
  • True if there exists at least one x ? U with the
    property P and false otherwise.
  • Example U1,2,3
  • (?x) P(x) ? P(1) ? P(2) ? P(3)

8
Examples
  • All Buttercups are yellow. (True)
  • Let B x x is a Buttercup. P(x) x is
    yellow.
  • (?x ? B) x is yellow.
  • All cars are yellow. (False)
  • Let C x x is a car. P(x) x is yellow.
  • (?x ? C) x is yellow.
  • Note that the only difference is the domain of x.
  • There is a yellow car. (True)
  • (?x ? C) such that x is yellow.
  • All integers are positive. (False)
  • (?x ? Z) x gt 0.
  • There is an integer number x, which satisfies
    x32 (True)
  • (?x ? Z) such that x 3 2.

9
Quantifiers ..
  • If D x1, x2, , xn is a finite set then
  • (?x ? D) P(x) ? P(x1) ? P(x2) ? .. ? P(xn). And
  • (?x ? D) P(x) ? P(x1) ? P(x2) ? .. ? P(xn).
  • ? is like a big and, and ? is like a big or.
  • We can show that ? is true by going through every
    value in the domain.
  • This is called the method of exhaustion. This has
    obvious problems if the domain is not finite.
  • We can show that ? is false by finding a
    counterexample.
  • i.e. an element of the domain which does not
    satisfy the property.
  • We can show that ? is true by finding an element
    of the domain with the required property.
  • This is called proof by construction.
  • We can show that an existential statement is
    false by the method of exhaustion above.

10
Example
  • Let S 2, 4, 6 and D 2, 4, 5.
  • (?x ? S) x is even.
  • 2 is even, 4 is even, 6 is even, so true by
    exhaustion.
  • (?x ? D) x is even.
  • A counterexample is x 5, so false.
  • (?x ? S) x is even.
  • Take x 4, so true.
  • (?x ? S) x is not even.
  • 2 is even, 4 is even, 6 is even, so false by
    exhaustion.

11
Interpretation
  • An Interpretation for an expression involving
    predicates consists of the following
  • A collection of objects, called the domain of the
    interpretation, which must include at least one
    object.
  • An assignment of a property of the objects in the
    domain to each predicate in the expression.
  • An assignment of a particular object in the
    domain to each constant symbol in the expression.
  • For example, the expression (?x) Q(x,a) is false
    in the interpretation where the domain consists
    of the integers, Q(x,y) is the property xlty, and
    a is assigned the value 7 it is not the case
    that every integer is less than 7.
  • Predicate wffs Wffs containing predicates and
    quantifiers.

12
Quantifier Negation
  • Equivalences involving the negation operator
  • (?x) P(x) ? (?x) P(x)
  • (?x) P(x) ? (?x) P(x)
  • Distributing a negation operator across a
    quantifier changes a universal to an existential
    and vice versa.
  • Consider the negation of All flowers are Yellow
    (?x ? F) Y(x).
  • This will be untrue if there is at least one non
    yellow flower.
  • (?x ? F) such that Y(x).
  • Consider the statement Some flowers are yellow,
    (? x ? F) Y (x).
  • this will be false if all flowers are not yellow.
  • (?x ? F) Y(x).

13
Multiple Quantifiers
  • We may have statements with more than one
    quantified variable.
  • If there is more than one variable with the same
    quantifier they are put together if possible.
  • The order of the quantifier is very important.
  • Read left to right.
  • Examples
  • The sum of any two natural numbers is greater
    than either of them
  • (?x,y ? N) (x y gt x) (x y gt y)
  • There are two integers whose sum is twice
    the first.
  • (?x,y ? Z) (xy 2x)

14
Multiple Quantifiers(cont.)
  • 2. What is the truth value of the following
    expression?
  • For every integer x there is an integer y
    which is larger than it.
  • (?x ? Z) (?y ? Z) (xlty) (a.k.a. There is no
    largest integer.)
  • There is an integer x which is smaller than
    any other integer.
  • (?x ? Z) (?y ? Z) )(xlty) (a.k.a. There is a
    smallest integer.)

15
Scope of Quantifiers
  • Scope -- the section of the wff to which the
    quantifier applies.
  • (?x) P(x) ? Q(x)6
  • (?x) (?y) P(x,y) ? Q(x,y) ?R(x)
  • (? x) S(x) ? (? y) T(y)
  • free variable.
  • it is not part of a quantifier
  • it is not within the scope of a quantifier
  • Example--If the domain is all the integers, P(x)
    (xgt0)
  • P(y) ? P(5) has no truth value
  • P(y) ? P(5) is true in this interpretation

16
Converting from English
  • The domain consist of all animals.
  • There is a fuzzy cat.
  • Only cats hiss at dogs.
  • Decide on the predicates and their notation.
  • F(x) - x is fuzzy
  • C(x) - x is a cat
  • D(x) - x is a dog
  • H(x, y) - x hisses at y
  • Find an intermediate sentence.
  • There is something that is fuzzy and is a cat.
  • For any two things, if one is a dog and the other
    hisses at it, then the other is a cat.

17
Converting from English(cont.)
  • Translate the intermediate sentence into a wff.
  • There is something that is fuzzy and is a cat.
  • (? x) F(x) ? C(x)
  • For any two things, if one is a dog and the other
    hisses at it,
  • then the other is a cat.
  • (?x) (?y) D(y) ?H(x,y) ? C(x) or
  • (?x) (?y) D(x) ?H(y,x) ? C(y)

18
Converting from English(cont.)
  • Some fleegles are thingamabobs.
  • ?xF(x) ? T(x) ? ?xF(x) ? T(x)
  • No snurd is a thingamabob.
  • ?xS(x) ? T(x) ? ?xS(x ) ? T(x)
  • If any fleegle is a snurd then it's also a
    thingamabob
  • ?x(F(x) ? S(x)) ? T(x) ? ?xF(x) ? S(x) ?
    T(x)

19
Validity
  • The counterpart of tautology in predicate logic.
  • The truth value of a predicate wff depends on the
    interpretation.
  • There are an infinite number of possible
    interpretations.
  • A predicate wff is true if it is true in all
    possible interpretations.
  • No algorithm to decide validity exists.
  • We need to use reasoning to determine if a wff is
    true in all interpretations.
  • Examples
  • (?x) P(x) ? (?x) P(x)
  • (?x) P(x) ? P(a)
  • (?x) P(x) ? Q(x) ? (?x) P(x) ? (?x) Q(x)
  • P(x) ? Q(x) ? P(x)
  • (?x) P(x) ? (?x) P(x)
  • (?x) P(x) ? Q(x) ? (?x) P(x) ? (?x) Q(x)

20
Satisfiability
  • Assertion is true in some universe, under some
    interpretation.
  • Else it is unsatisfiable.
  • Examples
  • Valid (?x) S(x) ? (?x) S(x)
  • Not valid but satisfiable (?x) F(x) ? T(x)
  • Not satisfiable (?x) F(x) ? F(x)

21
Exercise of Olde
  • Exercise 1.3
  • 3(d), 4(c,d), 6(f,g,h), 16, 18

22
  • Questions in Assignment
  • Negation of English statement Que
  • Validity of predicate logic
  • (?x) P(x) ? Q(x) ? (?x) P(x) ? (?x) Q(x)
  • Yes
  • (?x) P(x) ? Q(x) ? (?x) P(x) ? (?x) Q(x)
  • No
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