SlideShare una empresa de Scribd logo
1 de 12
SUBTOPIC 3             :         METHOD OF PROOF.

        From correct statements to an incorrect conclusion. Some other forms of argument
(“fallacies”) can lead from true statements to an incorrect conclusion.


Def: An axiom is a statement that is assuming to be true, or in the case of a mathematical system,
is used to specify the system.
Def: A mathematical argument is a list of statements. Its last statement is called the conclusion.
Def: A logical rule of inference is a method that depends on logic alone for deriving a new
statement from a set of other statements.
Def: A mathematical rule of inference is a method for deriving a new statement that may depend
on inferential rules of a mathematical system as well as on logic.


3.1     Tautology and contradiction.

        Mathematical induction is a method of mathematical proof typically used to establish that
a given statement is true for all natural numbers (positive integers). It is done by proving that the
first statement in the infinite sequence of statements is true, and then proving that if any one
statement in the infinite sequence of statements is true, then so is the next one.


      Tautology:

      A proposition that is always true for all possible value of its propositional variables.



Example of a Tautology
The compound proposition p ˅ ¬p is a tautology because it is always true.


P                                  ¬p                                 p ˅ ¬p


T                                  F                                  T
F                                  T                                  T



                                                                                                  21
Two propositional expressions P and Q are logically equivalent, if and only if P ↔ Q is a
tautology. We write P ≡ Q or P ↔ Q.
       A compound proposition that is always false is called a contradiction. A proposition that
is neither a tautology nor contradiction is called a contingency.
Note that the symbols ≡ and ↔ are not logical connectives.




     Contradiction:

     A proposition that is always false for all possible values of its propositional variables.



Example of a Contradiction
The compound proposition p ^ ¬p is a contradiction because it is always false.


P                                 ¬p                                 p ˅ ¬p


T                                 F                                  F
F                                 T                                  F


       A proof by contradiction is based on the idea that if an assumption leads to an absurdity
or to something that could not possibly be true, then the assumption must be false.
       Usage of tautologies and contradictions - in proving the validity of arguments; for
rewriting expressions using only the basic connectives.


    Contingency:

    A proposition that can either be true or false depending on the truth values of its
    propositional variables.



       A compound proposition that is neither a tautology nor a contradiction is called a
contingency


                                                                                                  22
A contingency table is a table of counts. A two-dimensional contingency table is formed
by classifying subjects by two variables. One variable determines the row categories; the other
variable defines the column categories. The combinations of row and column categories are
called cells. Examples include classifying subjects by sex (male/female) and smoking status
(current/former/never) or by "type of prenatal care" and "whether the birth required a neonatal
ICU" (yes/no). For the mathematician, a two-dimensional contingency table with r rows and c
columns is the set {xi j: i =1... r; j=1... c}.


Propositional form                   Propositions that are substitution instances of that form
Tautologous                          Logically true
Contingent                           Contingently true, Contingently false
Contradictory                        Logically false


3.2        Argument and rules of inference

        Arguments based on tautology represent universally correct methods of reasoning. The
validity of the arguments depends only on the form of the statements involved and not on the
truth values of the variables.

      Definition:

      An argument is a sequence of propositions written




                                                           :




                                                       ∴ q

      Or                                          ,   ,…       / ∴ q.




                                                                                                 23
The symbol ∴ is read “therefore.” The propositions      ,   ,…     are called the hypotheses
(or premises) or the proposition q is called the conclusion. The argument is valid provide that if
the proposition are all true, then q must also be true; otherwise, the argument is invalid (or a
fallacy).

Example:

Determine whether the argument

                                                p→q

                                                p

                                                    ∴q


Is valid

           [First solution] We construct a truth table for all the propositions involved.

                  P                 q                p→q      p              q
                  T                 T                T        T              T
                  T                 F                F        T              F
                  F                 T                T        F              T
                  F                 F                T        F              F




Example:
A Logical Argument
           If I dance all night, then I get tired.
           I danced all night.
           Therefore I got tired.
Logical representation of underlying variables:
           p: I dance all night.    q: I get tired.
Logical analysis of argument:


                                                                                                    24
p→q            premise 1
                p               premise 2
                q              Conclusion
Def: A form of logical argument is valid if whenever every premise is true, the conclusion is also
true. A form of argument that is not valid is called a fallacy.
We shall see why the argument above is valid. This form of argument is called modus ponens.
        The argument is used extensively and is known as the modus ponens rule of inference or
law of detachment. Several useful rules of inference for propositions, which may be verified
using truth table.


Rule of inference                                   Name
p→q                                                 Modus ponens
                      p
∴q

p→q                                                 Modus tollens
                      ⌐q
∴ ⌐p

                                                    Addition
                     p
∴p˅q

                                                    Simplification
                     p˅q
∴p

                     p                              Conjunction
                     q
∴p˅q

p→q                                                 Hypothetical syllogism
                      q→r
∴p→r

                      p˅q                           Disjunctive syllogism
                      ⌐p
∴q




                                                                                               25
Example1:
Represent the argument.
               The bug is either in module 17 or in module 81
               The bug is a numerical error
               Module 81 has no numerical error
               ___________________________________________
               ∴ the bug is in module 17.


Given the beginning of this section symbolically and show that it is valid.
       If we let
               p : the bug is in module 17.
               q : the bug is in module 81.
               r : the bug is numerical error.
The argument maybe written
                      p ˅q

                      r

                      r → ⌐q

                      ∴p

       From r → ⌐q and r, we may use modus ponens to conclude ⌐q. From r ˅ q and ⌐q, we
may use the disjunctive syllogism to conclude p. Thus the conclusion p follows from the
hypotheses and the argument is valid.




                                                                                    26
Direct proof


This method is based on Modus Ponens,

                                        [(p ⇒ q) ˅ p ]⇒ q

Virtually all mathematical theorems are composed of implication of the type,

                                        (

       The   are called the hypothesis or premise, and q is called conclusion. To prove a
theorem means to show the implication is a tautology. If all the are true, the q must be also
true.

       To directly establish the implication p    q by showing if p is true, then q is true. Note
that we do not need to show the cases when p is false! All we need to do is to show:


                                If p is true, q has to be true.
        To prove a proposition in the form p         q, we begin by assuming that p is true and then
show that q must be true.


Example:
An even number is of the form 2n where n is an integer, whereas an odd number is 2n + 1. Prove
that if x is an odd integer then x2 is also odd.
Solution:
Let p: x is odd, and q: x2 is odd. We want to prove p       q.
Start: p: x is odd
            x = 2n + 1 for some integer n
            x2 = (2n + 1)2
            x2 = 4n2 + 4n + 1
            x2 = 2(2n2 + 2n) + 1
            x2 = 2m + 1, where m = (2n2 + 2n) is an integer
            x2 is odd
            q


                                                                                                 27
Example:
Alt Proof of Disjunctive Syllogism: by a chain of inferences.
         p ˅q             Premise 1
         q ˅p             commutatively of _
         ¬¬q ˅ p          Double negation law
         ¬q     p         A     B, ¬A   B
         ¬p               Premise 2
         ¬¬q              Modus tollens
         q                Conclusion by negation


Example:            A theorem
The sum of two even numbers x and y is even.
Proof:
         There exist numbers m and n such that x = 2m and y = 2n (by def of “even”).
         Then x + y = 2m + 2n (by substitution).
         = 2(m + n) (by left distributive)
         This is even, by the definition of evenness.




                                                                                       28
Indirect proof


       Definition:

       An indirect proof uses rules of inference on the negation of the conclusion and on some of
       the premises to derive the negation of a premise. This result is called a contradiction.



        Contradiction: to prove a conditional proposition p ⇒ q by contradiction, we first assume
that the hypothesis p is true and the conclusion is false (p˅ ~ q). We then use the steps from the
proof of ~q ⇒ ~p to show that ~p is true. This leads to a contradiction (p˅ ~ p which complete
                                                                               ),
the proof.


Example: A theorem
               If     is odd, then so is x.
Proof: Assume that x is even (negation of conclusion).
               Say x = 2n                (definition of even).
               Then      =              (substitution)
                        = 2n · 2n       (definition of exponentiation)
                        = 2 · 2n2       (commutatively of multiplication.)
Which is an even number (definition of even)
This contradicts the premise that      is odd.




                                                                                                  29
EXERCISE:

  1.


       Assume      is rational. Then   , where   and b are relatively prime integers and

            .


  2.      is an irrational number.




                                                                                     30
ANSWER:



   1. Proving this directly (via constructive proof) would probably be very difficult--if not
      impossible. However, by contradiction we have a fairly simple proof.

       Proposition 2.3.1.


Proof: Assume        is rational. Then           where    and   are relatively prime integers and
       . So




But since   is even,    must be even as well, since the square of an odd number is also odd.
Then we have            , or

             so             .

The same argument can now be applied to to find                   . However, this contradicts the
original assumption that a and b are relatively prime, and the above is impossible. Therefore, we
must conclude that      is irrational.

Of course, we now note that there was nothing in this proof that was special about 2, except the
fact that it was prime. That's what allowed us to say that was even since we knew that      was
even. Note that this would not work for 4 (mainly because                   ) because       does
not imply that




                                                                                              31
2. Proof. Assume that        is a rational number. Then,        = a/b for two positive integers a
   and b. Assume that a and b have no common factors so that the fraction a/b is an
   irreducible fraction. By squaring both sides of        = a/b, we deduce 2 =   /   . Therefore
                                              =2
   which implies that a2 is even. From Proposition 2, we conclude that a is even, i.e., a = 2k
   for some integer k. Substitute a = 2k in equation (1) to get




          We conclude that b2 is even which implies that b is even. We have derived that
   both a and b are even but this a contradiction since we assumed that the fraction a/b was
   irreducible. Therefore,     is an irrational number.




                                                                                              32

Más contenido relacionado

La actualidad más candente

Basics of Integration and Derivatives
Basics of Integration and DerivativesBasics of Integration and Derivatives
Basics of Integration and DerivativesFaisal Waqar
 
Chapter 5 Graphs (1).ppt
Chapter 5 Graphs (1).pptChapter 5 Graphs (1).ppt
Chapter 5 Graphs (1).pptishan743441
 
logic and set theory
logic and set theorylogic and set theory
logic and set theoryNathan Trillo
 
5.4 mathematical induction
5.4 mathematical induction5.4 mathematical induction
5.4 mathematical inductionmath260
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normalRameshMakar
 
Introduction to Graph Theory
Introduction to Graph TheoryIntroduction to Graph Theory
Introduction to Graph TheoryYosuke Mizutani
 
mathematical induction
mathematical inductionmathematical induction
mathematical inductionankush_kumar
 
Mathematical induction
Mathematical inductionMathematical induction
Mathematical inductionrey castro
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normalsumanmathews
 
Langrange Interpolation Polynomials
Langrange Interpolation PolynomialsLangrange Interpolation Polynomials
Langrange Interpolation PolynomialsSohaib H. Khan
 
Isomorphic graph
Isomorphic graphIsomorphic graph
Isomorphic graphumair khan
 
CMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional EquivalencesCMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional Equivalencesallyn joy calcaben
 
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)Minhas Kamal
 
Logical equivalence, laws of logic
Logical equivalence, laws of logicLogical equivalence, laws of logic
Logical equivalence, laws of logicLakshmi R
 

La actualidad más candente (20)

Unit4
Unit4Unit4
Unit4
 
Ring
RingRing
Ring
 
Basics of Integration and Derivatives
Basics of Integration and DerivativesBasics of Integration and Derivatives
Basics of Integration and Derivatives
 
Discrete Math Lecture 02: First Order Logic
Discrete Math Lecture 02: First Order LogicDiscrete Math Lecture 02: First Order Logic
Discrete Math Lecture 02: First Order Logic
 
Chapter 5 Graphs (1).ppt
Chapter 5 Graphs (1).pptChapter 5 Graphs (1).ppt
Chapter 5 Graphs (1).ppt
 
logic and set theory
logic and set theorylogic and set theory
logic and set theory
 
5.4 mathematical induction
5.4 mathematical induction5.4 mathematical induction
5.4 mathematical induction
 
Curve tracing
Curve tracingCurve tracing
Curve tracing
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normal
 
Introduction to Graph Theory
Introduction to Graph TheoryIntroduction to Graph Theory
Introduction to Graph Theory
 
mathematical induction
mathematical inductionmathematical induction
mathematical induction
 
Mathematical induction
Mathematical inductionMathematical induction
Mathematical induction
 
Tangent and normal
Tangent and normalTangent and normal
Tangent and normal
 
Proof Techniques
Proof TechniquesProof Techniques
Proof Techniques
 
Langrange Interpolation Polynomials
Langrange Interpolation PolynomialsLangrange Interpolation Polynomials
Langrange Interpolation Polynomials
 
Vector calculus
Vector calculusVector calculus
Vector calculus
 
Isomorphic graph
Isomorphic graphIsomorphic graph
Isomorphic graph
 
CMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional EquivalencesCMSC 56 | Lecture 2: Propositional Equivalences
CMSC 56 | Lecture 2: Propositional Equivalences
 
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)
Numerical Method Analysis: Algebraic and Transcendental Equations (Non-Linear)
 
Logical equivalence, laws of logic
Logical equivalence, laws of logicLogical equivalence, laws of logic
Logical equivalence, laws of logic
 

Destacado

6.4 Truth Tables For Arguments
6.4   Truth Tables For Arguments6.4   Truth Tables For Arguments
6.4 Truth Tables For ArgumentsNicholas Lykins
 
Allegory of the cave
Allegory of the caveAllegory of the cave
Allegory of the caveAvone Lumanao
 
An introduction-to-philosophy
An introduction-to-philosophyAn introduction-to-philosophy
An introduction-to-philosophyAvone Lumanao
 
Nicomachean ethics by aristotle summary
Nicomachean ethics by aristotle summaryNicomachean ethics by aristotle summary
Nicomachean ethics by aristotle summaryAvone Lumanao
 
Culture And Aesthetic Revisited
Culture And Aesthetic RevisitedCulture And Aesthetic Revisited
Culture And Aesthetic RevisitedAdam Keys
 
7.4 Rules Of Replacement Ii
7.4    Rules Of Replacement Ii7.4    Rules Of Replacement Ii
7.4 Rules Of Replacement IiNicholas Lykins
 
6.3 Truth Tables For Propositions
6.3   Truth Tables For Propositions6.3   Truth Tables For Propositions
6.3 Truth Tables For PropositionsNicholas Lykins
 
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...Mithilesh Mandal
 
6.1 Symbols And Translation
6.1   Symbols And Translation6.1   Symbols And Translation
6.1 Symbols And TranslationNicholas Lykins
 

Destacado (14)

6.4 Truth Tables For Arguments
6.4   Truth Tables For Arguments6.4   Truth Tables For Arguments
6.4 Truth Tables For Arguments
 
Intro logic ch 3 doc
Intro logic ch 3 docIntro logic ch 3 doc
Intro logic ch 3 doc
 
Allegory of the cave
Allegory of the caveAllegory of the cave
Allegory of the cave
 
An introduction-to-philosophy
An introduction-to-philosophyAn introduction-to-philosophy
An introduction-to-philosophy
 
Kant
KantKant
Kant
 
Plato
PlatoPlato
Plato
 
Advertising
AdvertisingAdvertising
Advertising
 
Nicomachean ethics by aristotle summary
Nicomachean ethics by aristotle summaryNicomachean ethics by aristotle summary
Nicomachean ethics by aristotle summary
 
Culture And Aesthetic Revisited
Culture And Aesthetic RevisitedCulture And Aesthetic Revisited
Culture And Aesthetic Revisited
 
Syllogism
SyllogismSyllogism
Syllogism
 
7.4 Rules Of Replacement Ii
7.4    Rules Of Replacement Ii7.4    Rules Of Replacement Ii
7.4 Rules Of Replacement Ii
 
6.3 Truth Tables For Propositions
6.3   Truth Tables For Propositions6.3   Truth Tables For Propositions
6.3 Truth Tables For Propositions
 
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...
Frank lloyd wright- Taliesin East and Taliesin West, Guggenheim Museum, Falli...
 
6.1 Symbols And Translation
6.1   Symbols And Translation6.1   Symbols And Translation
6.1 Symbols And Translation
 

Similar a Chapter 4

Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDiscrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDr. Khaled Bakro
 
UGC NET Computer Science & Application book.pdf [Sample]
UGC NET Computer Science & Application book.pdf  [Sample]UGC NET Computer Science & Application book.pdf  [Sample]
UGC NET Computer Science & Application book.pdf [Sample]DIwakar Rajput
 
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdfrAjyarAjanItjJa
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptxssuser92109d
 
Propositional And First-Order Logic
Propositional And First-Order LogicPropositional And First-Order Logic
Propositional And First-Order Logicankush_kumar
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdfsmarwaneid
 
logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdfPradeeshSAI
 
Introduction to mathematical analysis
Introduction to mathematical analysisIntroduction to mathematical analysis
Introduction to mathematical analysisAnoojaI
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logictommy34g
 

Similar a Chapter 4 (20)

Slide subtopic 4
Slide subtopic 4Slide subtopic 4
Slide subtopic 4
 
Discrete mathematics
Discrete mathematicsDiscrete mathematics
Discrete mathematics
 
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكروDiscrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
Discrete mathematics Ch2 Propositional Logic_Dr.khaled.Bakro د. خالد بكرو
 
Logic
LogicLogic
Logic
 
UGC NET Computer Science & Application book.pdf [Sample]
UGC NET Computer Science & Application book.pdf  [Sample]UGC NET Computer Science & Application book.pdf  [Sample]
UGC NET Computer Science & Application book.pdf [Sample]
 
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
[gaNita] 2. Propositional Equivalences [math.fsu.edu].pdf
 
Slide subtopic 2
Slide subtopic 2Slide subtopic 2
Slide subtopic 2
 
Slide subtopic 2
Slide subtopic 2Slide subtopic 2
Slide subtopic 2
 
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
20220818151924_PPT01 - The Logic of Compound and Quantitative Statement.pptx
 
DS Lecture 2.ppt
DS Lecture 2.pptDS Lecture 2.ppt
DS Lecture 2.ppt
 
Per3 pembuktian
Per3 pembuktianPer3 pembuktian
Per3 pembuktian
 
Propositional And First-Order Logic
Propositional And First-Order LogicPropositional And First-Order Logic
Propositional And First-Order Logic
 
Chapter 01 - p1.pdf
Chapter 01 - p1.pdfChapter 01 - p1.pdf
Chapter 01 - p1.pdf
 
logicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdflogicproof-141212042039-conversion-gate01.pdf
logicproof-141212042039-conversion-gate01.pdf
 
dm-logic.pdf
dm-logic.pdfdm-logic.pdf
dm-logic.pdf
 
DMS UNIT-1 ppt.pptx
DMS UNIT-1 ppt.pptxDMS UNIT-1 ppt.pptx
DMS UNIT-1 ppt.pptx
 
Introduction to mathematical analysis
Introduction to mathematical analysisIntroduction to mathematical analysis
Introduction to mathematical analysis
 
Per3 logika&pembuktian
Per3 logika&pembuktianPer3 logika&pembuktian
Per3 logika&pembuktian
 
Inductive reasoning & logic
Inductive reasoning & logicInductive reasoning & logic
Inductive reasoning & logic
 
Chapter1p1.pdf
Chapter1p1.pdfChapter1p1.pdf
Chapter1p1.pdf
 

Más de Eli Lilly and Company (17)

Slide subtopic 3
Slide subtopic 3Slide subtopic 3
Slide subtopic 3
 
Slide subtopic 1
Slide subtopic 1Slide subtopic 1
Slide subtopic 1
 
Slide subtopic 5
Slide subtopic 5Slide subtopic 5
Slide subtopic 5
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 
Chapter 3
Chapter 3Chapter 3
Chapter 3
 
Chapter 1
Chapter 1Chapter 1
Chapter 1
 
Chapter 5
Chapter 5Chapter 5
Chapter 5
 
Akses dan ekuiti
Akses dan ekuitiAkses dan ekuiti
Akses dan ekuiti
 
Isu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematikIsu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematik
 
kurikulum dan kelainan upaya
kurikulum dan kelainan upayakurikulum dan kelainan upaya
kurikulum dan kelainan upaya
 
jantina dan bangsa
jantina dan bangsajantina dan bangsa
jantina dan bangsa
 
jantina dan bangsa
jantina dan bangsajantina dan bangsa
jantina dan bangsa
 
Jantina dan bangsa
Jantina dan bangsaJantina dan bangsa
Jantina dan bangsa
 
ISU JANTINA
ISU JANTINAISU JANTINA
ISU JANTINA
 
Qayyum
QayyumQayyum
Qayyum
 
Trend kurikulum
Trend kurikulumTrend kurikulum
Trend kurikulum
 
Isu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematikIsu profesional guru dalam pengajaran matematik
Isu profesional guru dalam pengajaran matematik
 

Último

General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...Poonam Aher Patil
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxAreebaZafar22
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfPoh-Sun Goh
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the ClassroomPooky Knightsmith
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSCeline George
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Pooja Bhuva
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...Amil baba
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfDr Vijay Vishwakarma
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxPooja Bhuva
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...pradhanghanshyam7136
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024Elizabeth Walsh
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - Englishneillewis46
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and ModificationsMJDuyan
 

Último (20)

General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
NO1 Top Black Magic Specialist In Lahore Black magic In Pakistan Kala Ilam Ex...
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 

Chapter 4

  • 1. SUBTOPIC 3 : METHOD OF PROOF. From correct statements to an incorrect conclusion. Some other forms of argument (“fallacies”) can lead from true statements to an incorrect conclusion. Def: An axiom is a statement that is assuming to be true, or in the case of a mathematical system, is used to specify the system. Def: A mathematical argument is a list of statements. Its last statement is called the conclusion. Def: A logical rule of inference is a method that depends on logic alone for deriving a new statement from a set of other statements. Def: A mathematical rule of inference is a method for deriving a new statement that may depend on inferential rules of a mathematical system as well as on logic. 3.1 Tautology and contradiction. Mathematical induction is a method of mathematical proof typically used to establish that a given statement is true for all natural numbers (positive integers). It is done by proving that the first statement in the infinite sequence of statements is true, and then proving that if any one statement in the infinite sequence of statements is true, then so is the next one. Tautology: A proposition that is always true for all possible value of its propositional variables. Example of a Tautology The compound proposition p ˅ ¬p is a tautology because it is always true. P ¬p p ˅ ¬p T F T F T T 21
  • 2. Two propositional expressions P and Q are logically equivalent, if and only if P ↔ Q is a tautology. We write P ≡ Q or P ↔ Q. A compound proposition that is always false is called a contradiction. A proposition that is neither a tautology nor contradiction is called a contingency. Note that the symbols ≡ and ↔ are not logical connectives. Contradiction: A proposition that is always false for all possible values of its propositional variables. Example of a Contradiction The compound proposition p ^ ¬p is a contradiction because it is always false. P ¬p p ˅ ¬p T F F F T F A proof by contradiction is based on the idea that if an assumption leads to an absurdity or to something that could not possibly be true, then the assumption must be false. Usage of tautologies and contradictions - in proving the validity of arguments; for rewriting expressions using only the basic connectives. Contingency: A proposition that can either be true or false depending on the truth values of its propositional variables. A compound proposition that is neither a tautology nor a contradiction is called a contingency 22
  • 3. A contingency table is a table of counts. A two-dimensional contingency table is formed by classifying subjects by two variables. One variable determines the row categories; the other variable defines the column categories. The combinations of row and column categories are called cells. Examples include classifying subjects by sex (male/female) and smoking status (current/former/never) or by "type of prenatal care" and "whether the birth required a neonatal ICU" (yes/no). For the mathematician, a two-dimensional contingency table with r rows and c columns is the set {xi j: i =1... r; j=1... c}. Propositional form Propositions that are substitution instances of that form Tautologous Logically true Contingent Contingently true, Contingently false Contradictory Logically false 3.2 Argument and rules of inference Arguments based on tautology represent universally correct methods of reasoning. The validity of the arguments depends only on the form of the statements involved and not on the truth values of the variables. Definition: An argument is a sequence of propositions written : ∴ q Or , ,… / ∴ q. 23
  • 4. The symbol ∴ is read “therefore.” The propositions , ,… are called the hypotheses (or premises) or the proposition q is called the conclusion. The argument is valid provide that if the proposition are all true, then q must also be true; otherwise, the argument is invalid (or a fallacy). Example: Determine whether the argument p→q p ∴q Is valid [First solution] We construct a truth table for all the propositions involved. P q p→q p q T T T T T T F F T F F T T F T F F T F F Example: A Logical Argument If I dance all night, then I get tired. I danced all night. Therefore I got tired. Logical representation of underlying variables: p: I dance all night. q: I get tired. Logical analysis of argument: 24
  • 5. p→q premise 1 p premise 2 q Conclusion Def: A form of logical argument is valid if whenever every premise is true, the conclusion is also true. A form of argument that is not valid is called a fallacy. We shall see why the argument above is valid. This form of argument is called modus ponens. The argument is used extensively and is known as the modus ponens rule of inference or law of detachment. Several useful rules of inference for propositions, which may be verified using truth table. Rule of inference Name p→q Modus ponens p ∴q p→q Modus tollens ⌐q ∴ ⌐p Addition p ∴p˅q Simplification p˅q ∴p p Conjunction q ∴p˅q p→q Hypothetical syllogism q→r ∴p→r p˅q Disjunctive syllogism ⌐p ∴q 25
  • 6. Example1: Represent the argument. The bug is either in module 17 or in module 81 The bug is a numerical error Module 81 has no numerical error ___________________________________________ ∴ the bug is in module 17. Given the beginning of this section symbolically and show that it is valid. If we let p : the bug is in module 17. q : the bug is in module 81. r : the bug is numerical error. The argument maybe written p ˅q r r → ⌐q ∴p From r → ⌐q and r, we may use modus ponens to conclude ⌐q. From r ˅ q and ⌐q, we may use the disjunctive syllogism to conclude p. Thus the conclusion p follows from the hypotheses and the argument is valid. 26
  • 7. Direct proof This method is based on Modus Ponens, [(p ⇒ q) ˅ p ]⇒ q Virtually all mathematical theorems are composed of implication of the type, ( The are called the hypothesis or premise, and q is called conclusion. To prove a theorem means to show the implication is a tautology. If all the are true, the q must be also true. To directly establish the implication p q by showing if p is true, then q is true. Note that we do not need to show the cases when p is false! All we need to do is to show: If p is true, q has to be true. To prove a proposition in the form p q, we begin by assuming that p is true and then show that q must be true. Example: An even number is of the form 2n where n is an integer, whereas an odd number is 2n + 1. Prove that if x is an odd integer then x2 is also odd. Solution: Let p: x is odd, and q: x2 is odd. We want to prove p q. Start: p: x is odd x = 2n + 1 for some integer n x2 = (2n + 1)2 x2 = 4n2 + 4n + 1 x2 = 2(2n2 + 2n) + 1 x2 = 2m + 1, where m = (2n2 + 2n) is an integer x2 is odd q 27
  • 8. Example: Alt Proof of Disjunctive Syllogism: by a chain of inferences. p ˅q Premise 1 q ˅p commutatively of _ ¬¬q ˅ p Double negation law ¬q p A B, ¬A B ¬p Premise 2 ¬¬q Modus tollens q Conclusion by negation Example: A theorem The sum of two even numbers x and y is even. Proof: There exist numbers m and n such that x = 2m and y = 2n (by def of “even”). Then x + y = 2m + 2n (by substitution). = 2(m + n) (by left distributive) This is even, by the definition of evenness. 28
  • 9. Indirect proof Definition: An indirect proof uses rules of inference on the negation of the conclusion and on some of the premises to derive the negation of a premise. This result is called a contradiction. Contradiction: to prove a conditional proposition p ⇒ q by contradiction, we first assume that the hypothesis p is true and the conclusion is false (p˅ ~ q). We then use the steps from the proof of ~q ⇒ ~p to show that ~p is true. This leads to a contradiction (p˅ ~ p which complete ), the proof. Example: A theorem If is odd, then so is x. Proof: Assume that x is even (negation of conclusion). Say x = 2n (definition of even). Then = (substitution) = 2n · 2n (definition of exponentiation) = 2 · 2n2 (commutatively of multiplication.) Which is an even number (definition of even) This contradicts the premise that is odd. 29
  • 10. EXERCISE: 1. Assume is rational. Then , where and b are relatively prime integers and . 2. is an irrational number. 30
  • 11. ANSWER: 1. Proving this directly (via constructive proof) would probably be very difficult--if not impossible. However, by contradiction we have a fairly simple proof. Proposition 2.3.1. Proof: Assume is rational. Then where and are relatively prime integers and . So But since is even, must be even as well, since the square of an odd number is also odd. Then we have , or so . The same argument can now be applied to to find . However, this contradicts the original assumption that a and b are relatively prime, and the above is impossible. Therefore, we must conclude that is irrational. Of course, we now note that there was nothing in this proof that was special about 2, except the fact that it was prime. That's what allowed us to say that was even since we knew that was even. Note that this would not work for 4 (mainly because ) because does not imply that 31
  • 12. 2. Proof. Assume that is a rational number. Then, = a/b for two positive integers a and b. Assume that a and b have no common factors so that the fraction a/b is an irreducible fraction. By squaring both sides of = a/b, we deduce 2 = / . Therefore =2 which implies that a2 is even. From Proposition 2, we conclude that a is even, i.e., a = 2k for some integer k. Substitute a = 2k in equation (1) to get We conclude that b2 is even which implies that b is even. We have derived that both a and b are even but this a contradiction since we assumed that the fraction a/b was irreducible. Therefore, is an irrational number. 32