SlideShare une entreprise Scribd logo
1  sur  13
ToK - Mathematics
An example of the “axiomatic approach”
from geometry
Axioms
• These are assumptions and definitions which can
be used to prove new results
• Axiomatic assumptions do not have to be proved
themselves, because they seem evident, for
example
- Angles on a straight line total two right angles
- All right angles are equal to each other
- Any two points may be joined by a straight
line
• And so on...
Using axioms to get new results
(theorems)
a

•
•
•
•
•
•

b

c

Prove that if a + c = two right angles, then b = c
1 a + c = two right angles (given in the problem)
2 a + b = two right angles (on a straight line)
3 therefore a + c = a + b (law of logic)
4 therefore c = b
(law of logic)
5 therefore b = c
(law of logic)
A little philosophy...
• Some propositions (statements which may or
may not be true) actually have to be true by
definition. The “classic” example is “All
bachelors are unmarried”.
• These are known as analytic propositions
• Non-analytic propositions are called synthetic
How do we decide if a proposition is true?
• If we can tell that a proposition is true
independent of experience, the proposition is
called true a priori
• If we can only tell that a proposition is true by
means of experience, the proposition is called
true a posteriori
Some possible analyses for mathematics

A posteriori

A priori

Analytic
We say that 2 + 2 = 4 ( or II + II = IV,
or whatever symbols you wish to
use) in any situation just because
we have chosen to define arithmetic
in this way.
FORMALISM

IMPOSSIBLE

Synthetic
We say that 2 + 2 = 4 in any situation
because it is an example of something
that we can tell independent of direct
experience but that does not just follow
from the definition.
PLATONISM
We say that 2 + 2 = 4 in any situation
because we have experienced instances of
this truth and have generalised from
there.
EMPIRICISM
Some main objections to these views
• Empiricism: when you compare maths to science,
for example, the degree of certainty seems much
greater. Compare a scientific generalisation such
as “all metals expand on heating” to “2n + 2n =
4n, whatever n stands for”.
• Formalism: if mathematical statements are true
or false just by definition, how come there are
statements like Goldbach’s conjecture which we
do not yet know the truth or falsehood of? How
come our definitions have produced results
which describe the real world so well?
and Platonism?
• This entails a world view where some truths can
be found by reason alone
• This view suffered a setback in the 18th & 19th
centuries with the discovery of new geometries
apart from the usual Euclidean (flat) type, but
which obeyed the same basic axioms. The new
geometries didn’t seem to describe the world as
well as the original Euclidean type, but still
worked very well within themselves (were
consistent)
A bigger problem for formalism
• In 1931, the German logician Kurt Godel
proved two Incompleteness Theorems.
• These very technical proofs considered finding
all the (true) results that could be deduced
from a given set of axioms
• Godel proved that there would always be
some true result which would be omitted
from the list (ie the list would be incomplete)
• Godel showed that the result
“This statement cannot be deduced from the
axioms you started with.”
had to be true
• Therefore, however you tried to list all the results
for your axioms, you would never get all the true
statements
• In other words, Maths had to be more than just
applying logical (or illogical!) rules to a set of
axioms and representing the results symbolically
Discovered or created?
•
•
•
•

What would a formalist say?
What would a Platonist say?
What would an empiricist say?
What do you think?
Is “discovery vs creation” a false
dilemma?
• Mathematicians create theories (eg
differential calculus, spherical geometry,
group theory)

• Once the theory is created, the results within
the theory are discovered (eg d/dx (x2) = 2x)
• Therefore Mathematics involves both
discovery and creation

Contenu connexe

Tendances

Continental philosophy
Continental philosophyContinental philosophy
Continental philosophytjmartin72768
 
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLYApril Centes
 
Existentialism
ExistentialismExistentialism
ExistentialismGCUF
 
Aristotelian realism
Aristotelian realismAristotelian realism
Aristotelian realismMarni Bunda
 
EXISTENTIALISM in Philosophy of Education
EXISTENTIALISM in Philosophy of EducationEXISTENTIALISM in Philosophy of Education
EXISTENTIALISM in Philosophy of EducationR.A Duhdra
 
Extentialism and Education Part A
Extentialism and Education Part AExtentialism and Education Part A
Extentialism and Education Part AMaria Lorena Guray
 
META PHYSICS AND EDUCATION.pptx
META PHYSICS AND EDUCATION.pptxMETA PHYSICS AND EDUCATION.pptx
META PHYSICS AND EDUCATION.pptxMonojitGope
 
Philosophy Intro
Philosophy IntroPhilosophy Intro
Philosophy Introdrburwell
 
Idealism and realism (educ. 301)
Idealism and realism (educ. 301)Idealism and realism (educ. 301)
Idealism and realism (educ. 301)Divine Dizon
 

Tendances (20)

Continental philosophy
Continental philosophyContinental philosophy
Continental philosophy
 
Realism
RealismRealism
Realism
 
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY
2 Major fields of philosophy METAPHYSICS AND EPISTEMOLOGY ONLY
 
Existentialism
ExistentialismExistentialism
Existentialism
 
Phenomenology
PhenomenologyPhenomenology
Phenomenology
 
Aristotelian realism
Aristotelian realismAristotelian realism
Aristotelian realism
 
Phenomenology
PhenomenologyPhenomenology
Phenomenology
 
Logical positivism
Logical positivismLogical positivism
Logical positivism
 
Perennialism in Education
Perennialism in EducationPerennialism in Education
Perennialism in Education
 
presentation of realism
presentation of realismpresentation of realism
presentation of realism
 
EXISTENTIALISM in Philosophy of Education
EXISTENTIALISM in Philosophy of EducationEXISTENTIALISM in Philosophy of Education
EXISTENTIALISM in Philosophy of Education
 
Extentialism and Education Part A
Extentialism and Education Part AExtentialism and Education Part A
Extentialism and Education Part A
 
META PHYSICS AND EDUCATION.pptx
META PHYSICS AND EDUCATION.pptxMETA PHYSICS AND EDUCATION.pptx
META PHYSICS AND EDUCATION.pptx
 
Philosophy Intro
Philosophy IntroPhilosophy Intro
Philosophy Intro
 
Existentialism
ExistentialismExistentialism
Existentialism
 
Phenomenology
PhenomenologyPhenomenology
Phenomenology
 
Perennialism
PerennialismPerennialism
Perennialism
 
Idealism and realism (educ. 301)
Idealism and realism (educ. 301)Idealism and realism (educ. 301)
Idealism and realism (educ. 301)
 
Rationalism report
Rationalism reportRationalism report
Rationalism report
 
Rationalism
RationalismRationalism
Rationalism
 

En vedette

Kinds of knowledge
Kinds of knowledge  Kinds of knowledge
Kinds of knowledge plangdale
 
Aok – areas of knowing mathematics
Aok – areas of knowing mathematicsAok – areas of knowing mathematics
Aok – areas of knowing mathematicst0nywilliams
 
ToK - Areas of Knowledge
ToK - Areas of KnowledgeToK - Areas of Knowledge
ToK - Areas of Knowledgeplangdale
 
Personal and shared knowledge
Personal and shared knowledgePersonal and shared knowledge
Personal and shared knowledgeAlicia Zents
 
Turing Machine
Turing MachineTuring Machine
Turing MachineAyAn KhAn
 
Theory of knowledge intro 2014
Theory of knowledge intro 2014 Theory of knowledge intro 2014
Theory of knowledge intro 2014 plangdale
 
Maths in nature (complete)
Maths in nature (complete)Maths in nature (complete)
Maths in nature (complete)Abhay Goyal
 
The theory of knowledge
The theory of knowledgeThe theory of knowledge
The theory of knowledgeVincent John
 
Knowledge and Truth
Knowledge and TruthKnowledge and Truth
Knowledge and TruthAbir Chaaban
 
Nature, characteristics and definition of maths
Nature, characteristics and definition of mathsNature, characteristics and definition of maths
Nature, characteristics and definition of mathsAngel Rathnabai
 
Theory of knowledge
Theory of knowledgeTheory of knowledge
Theory of knowledgePS Deb
 

En vedette (17)

Kinds of knowledge
Kinds of knowledge  Kinds of knowledge
Kinds of knowledge
 
Aok – areas of knowing mathematics
Aok – areas of knowing mathematicsAok – areas of knowing mathematics
Aok – areas of knowing mathematics
 
ToK - Areas of Knowledge
ToK - Areas of KnowledgeToK - Areas of Knowledge
ToK - Areas of Knowledge
 
Turing Machine
Turing MachineTuring Machine
Turing Machine
 
Mrs L. Wiles (Head of Maths) Revision Workshop Presentation
Mrs L. Wiles (Head of Maths) Revision Workshop PresentationMrs L. Wiles (Head of Maths) Revision Workshop Presentation
Mrs L. Wiles (Head of Maths) Revision Workshop Presentation
 
Maths in nature
Maths in natureMaths in nature
Maths in nature
 
Personal and shared knowledge
Personal and shared knowledgePersonal and shared knowledge
Personal and shared knowledge
 
Turing Machine
Turing MachineTuring Machine
Turing Machine
 
Theory of knowledge intro 2014
Theory of knowledge intro 2014 Theory of knowledge intro 2014
Theory of knowledge intro 2014
 
Mathematics in nature
Mathematics in natureMathematics in nature
Mathematics in nature
 
Maths in nature (complete)
Maths in nature (complete)Maths in nature (complete)
Maths in nature (complete)
 
Maths in cricket
Maths in cricketMaths in cricket
Maths in cricket
 
The theory of knowledge
The theory of knowledgeThe theory of knowledge
The theory of knowledge
 
Knowledge and Truth
Knowledge and TruthKnowledge and Truth
Knowledge and Truth
 
Nature, characteristics and definition of maths
Nature, characteristics and definition of mathsNature, characteristics and definition of maths
Nature, characteristics and definition of maths
 
Theory of knowledge
Theory of knowledgeTheory of knowledge
Theory of knowledge
 
Turing machine by_deep
Turing machine by_deepTuring machine by_deep
Turing machine by_deep
 

Similaire à Theory of Knowledge - mathematics philosophies

Tma2033 chap1.1&1.2handout
Tma2033 chap1.1&1.2handoutTma2033 chap1.1&1.2handout
Tma2033 chap1.1&1.2handoutshiqinrino
 
Fuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introductionFuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introductionNagasuri Bala Venkateswarlu
 
Introduction to logic and prolog - Part 1
Introduction to logic and prolog - Part 1Introduction to logic and prolog - Part 1
Introduction to logic and prolog - Part 1Sabu Francis
 
Mayo: Day #2 slides
Mayo: Day #2 slidesMayo: Day #2 slides
Mayo: Day #2 slidesjemille6
 
Logic in Predicate and Propositional Logic
Logic in Predicate and Propositional LogicLogic in Predicate and Propositional Logic
Logic in Predicate and Propositional LogicArchanaT32
 
Secure-Software-10-Formal-Methods.ppt
Secure-Software-10-Formal-Methods.pptSecure-Software-10-Formal-Methods.ppt
Secure-Software-10-Formal-Methods.pptJanmr
 
A Procedural Interpretation Of The Church-Turing Thesis
A Procedural Interpretation Of The Church-Turing ThesisA Procedural Interpretation Of The Church-Turing Thesis
A Procedural Interpretation Of The Church-Turing ThesisDaniel Wachtel
 
Chapter 1 (part 4)
Chapter 1 (part 4)Chapter 1 (part 4)
Chapter 1 (part 4)Raechel Lim
 
inductive-and-deductive-reasoning-ppt.pptx
inductive-and-deductive-reasoning-ppt.pptxinductive-and-deductive-reasoning-ppt.pptx
inductive-and-deductive-reasoning-ppt.pptxDystopianSh
 
Lessons from experience: engaging with quantum crackpots
Lessons from experience: engaging with quantum crackpotsLessons from experience: engaging with quantum crackpots
Lessons from experience: engaging with quantum crackpotsRichard Gill
 
The logic(s) of informal proofs (tyumen, western siberia 2019)
The logic(s) of informal proofs (tyumen, western siberia 2019)The logic(s) of informal proofs (tyumen, western siberia 2019)
The logic(s) of informal proofs (tyumen, western siberia 2019)Brendan Larvor
 
Unit 1 topic 2 deductive_vs_induction.ppt
Unit 1 topic 2 deductive_vs_induction.pptUnit 1 topic 2 deductive_vs_induction.ppt
Unit 1 topic 2 deductive_vs_induction.pptkeshavpahwa3
 
Statistics in Astronomy
Statistics in AstronomyStatistics in Astronomy
Statistics in AstronomyPeter Coles
 

Similaire à Theory of Knowledge - mathematics philosophies (20)

Tma2033 chap1.1&1.2handout
Tma2033 chap1.1&1.2handoutTma2033 chap1.1&1.2handout
Tma2033 chap1.1&1.2handout
 
Fuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introductionFuzzy mathematics:An application oriented introduction
Fuzzy mathematics:An application oriented introduction
 
Introduction to logic and prolog - Part 1
Introduction to logic and prolog - Part 1Introduction to logic and prolog - Part 1
Introduction to logic and prolog - Part 1
 
Mayo: Day #2 slides
Mayo: Day #2 slidesMayo: Day #2 slides
Mayo: Day #2 slides
 
Logic in Predicate and Propositional Logic
Logic in Predicate and Propositional LogicLogic in Predicate and Propositional Logic
Logic in Predicate and Propositional Logic
 
Secure-Software-10-Formal-Methods.ppt
Secure-Software-10-Formal-Methods.pptSecure-Software-10-Formal-Methods.ppt
Secure-Software-10-Formal-Methods.ppt
 
Logic.ppt
Logic.pptLogic.ppt
Logic.ppt
 
Miller
MillerMiller
Miller
 
A Procedural Interpretation Of The Church-Turing Thesis
A Procedural Interpretation Of The Church-Turing ThesisA Procedural Interpretation Of The Church-Turing Thesis
A Procedural Interpretation Of The Church-Turing Thesis
 
Chapter 1 (part 4)
Chapter 1 (part 4)Chapter 1 (part 4)
Chapter 1 (part 4)
 
Lesson plan in geometry
Lesson plan in geometryLesson plan in geometry
Lesson plan in geometry
 
Lesson plan in geometry
Lesson plan in geometryLesson plan in geometry
Lesson plan in geometry
 
Lecture # 2 (28.01.2017) @ ibt principle of logic
Lecture # 2 (28.01.2017) @ ibt principle of logicLecture # 2 (28.01.2017) @ ibt principle of logic
Lecture # 2 (28.01.2017) @ ibt principle of logic
 
ECGS Module 2
ECGS Module 2ECGS Module 2
ECGS Module 2
 
inductive-and-deductive-reasoning-ppt.pptx
inductive-and-deductive-reasoning-ppt.pptxinductive-and-deductive-reasoning-ppt.pptx
inductive-and-deductive-reasoning-ppt.pptx
 
Lessons from experience: engaging with quantum crackpots
Lessons from experience: engaging with quantum crackpotsLessons from experience: engaging with quantum crackpots
Lessons from experience: engaging with quantum crackpots
 
The logic(s) of informal proofs (tyumen, western siberia 2019)
The logic(s) of informal proofs (tyumen, western siberia 2019)The logic(s) of informal proofs (tyumen, western siberia 2019)
The logic(s) of informal proofs (tyumen, western siberia 2019)
 
Unit 1 topic 2 deductive_vs_induction.ppt
Unit 1 topic 2 deductive_vs_induction.pptUnit 1 topic 2 deductive_vs_induction.ppt
Unit 1 topic 2 deductive_vs_induction.ppt
 
GOD’S DICE
GOD’S DICEGOD’S DICE
GOD’S DICE
 
Statistics in Astronomy
Statistics in AstronomyStatistics in Astronomy
Statistics in Astronomy
 

Plus de plangdale

Ways of knowing (intuition and faith)
Ways of knowing (intuition and faith)Ways of knowing (intuition and faith)
Ways of knowing (intuition and faith)plangdale
 
Ways of knowing (Memory and Imagination)
Ways of knowing (Memory and Imagination)Ways of knowing (Memory and Imagination)
Ways of knowing (Memory and Imagination)plangdale
 
Ways of knowing (2) reason and emotion
Ways of knowing (2) reason and emotionWays of knowing (2) reason and emotion
Ways of knowing (2) reason and emotionplangdale
 
Sense perception and language
Sense perception and languageSense perception and language
Sense perception and languageplangdale
 
Human and natural sciences for ToK
Human and natural sciences for ToKHuman and natural sciences for ToK
Human and natural sciences for ToKplangdale
 
Human Sciences for ToK
Human Sciences for ToKHuman Sciences for ToK
Human Sciences for ToKplangdale
 
Arts Presentation for ToK 2
Arts Presentation for ToK 2Arts Presentation for ToK 2
Arts Presentation for ToK 2plangdale
 
Arts Presentation for ToK 1
Arts Presentation for ToK 1Arts Presentation for ToK 1
Arts Presentation for ToK 1plangdale
 
ToK presentation on sense perception 2013
ToK presentation on sense perception 2013ToK presentation on sense perception 2013
ToK presentation on sense perception 2013plangdale
 
Knowledge, Belief and Justification
Knowledge, Belief and JustificationKnowledge, Belief and Justification
Knowledge, Belief and Justificationplangdale
 
History for Theory of Knowledge
History for Theory of KnowledgeHistory for Theory of Knowledge
History for Theory of Knowledgeplangdale
 
Human Sciences
Human SciencesHuman Sciences
Human Sciencesplangdale
 
Mr Hardy's pared-down Arts
Mr Hardy's pared-down ArtsMr Hardy's pared-down Arts
Mr Hardy's pared-down Artsplangdale
 
Reason the final chapter
Reason the final chapterReason the final chapter
Reason the final chapterplangdale
 
Reason Continued
Reason ContinuedReason Continued
Reason Continuedplangdale
 
Introdutory presentation on Reason for Tok
Introdutory presentation on Reason for TokIntrodutory presentation on Reason for Tok
Introdutory presentation on Reason for Tokplangdale
 
Language and thought pml
Language and thought pmlLanguage and thought pml
Language and thought pmlplangdale
 
Cassandra’s paradox
Cassandra’s paradoxCassandra’s paradox
Cassandra’s paradoxplangdale
 
TOK lesson on Knowledge in general
TOK lesson on Knowledge in generalTOK lesson on Knowledge in general
TOK lesson on Knowledge in generalplangdale
 

Plus de plangdale (20)

Ways of knowing (intuition and faith)
Ways of knowing (intuition and faith)Ways of knowing (intuition and faith)
Ways of knowing (intuition and faith)
 
Ways of knowing (Memory and Imagination)
Ways of knowing (Memory and Imagination)Ways of knowing (Memory and Imagination)
Ways of knowing (Memory and Imagination)
 
Ways of knowing (2) reason and emotion
Ways of knowing (2) reason and emotionWays of knowing (2) reason and emotion
Ways of knowing (2) reason and emotion
 
Sense perception and language
Sense perception and languageSense perception and language
Sense perception and language
 
Human and natural sciences for ToK
Human and natural sciences for ToKHuman and natural sciences for ToK
Human and natural sciences for ToK
 
Human Sciences for ToK
Human Sciences for ToKHuman Sciences for ToK
Human Sciences for ToK
 
Arts Presentation for ToK 2
Arts Presentation for ToK 2Arts Presentation for ToK 2
Arts Presentation for ToK 2
 
Arts Presentation for ToK 1
Arts Presentation for ToK 1Arts Presentation for ToK 1
Arts Presentation for ToK 1
 
ToK presentation on sense perception 2013
ToK presentation on sense perception 2013ToK presentation on sense perception 2013
ToK presentation on sense perception 2013
 
Knowledge, Belief and Justification
Knowledge, Belief and JustificationKnowledge, Belief and Justification
Knowledge, Belief and Justification
 
History for Theory of Knowledge
History for Theory of KnowledgeHistory for Theory of Knowledge
History for Theory of Knowledge
 
Human Sciences
Human SciencesHuman Sciences
Human Sciences
 
Mr Hardy's pared-down Arts
Mr Hardy's pared-down ArtsMr Hardy's pared-down Arts
Mr Hardy's pared-down Arts
 
Reason the final chapter
Reason the final chapterReason the final chapter
Reason the final chapter
 
Reason Continued
Reason ContinuedReason Continued
Reason Continued
 
Introdutory presentation on Reason for Tok
Introdutory presentation on Reason for TokIntrodutory presentation on Reason for Tok
Introdutory presentation on Reason for Tok
 
Language and thought pml
Language and thought pmlLanguage and thought pml
Language and thought pml
 
Language
LanguageLanguage
Language
 
Cassandra’s paradox
Cassandra’s paradoxCassandra’s paradox
Cassandra’s paradox
 
TOK lesson on Knowledge in general
TOK lesson on Knowledge in generalTOK lesson on Knowledge in general
TOK lesson on Knowledge in general
 

Dernier

THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONHumphrey A Beña
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17Celine George
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfphamnguyenenglishnb
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxDr.Ibrahim Hassaan
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Jisc
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomnelietumpap1
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxMaryGraceBautista27
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxAnupkumar Sharma
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPCeline George
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxChelloAnnAsuncion2
 

Dernier (20)

Raw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptxRaw materials used in Herbal Cosmetics.pptx
Raw materials used in Herbal Cosmetics.pptx
 
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptxYOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
YOUVE_GOT_EMAIL_PRELIMS_EL_DORADO_2024.pptx
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATIONTHEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
THEORIES OF ORGANIZATION-PUBLIC ADMINISTRATION
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17How to Add Barcode on PDF Report in Odoo 17
How to Add Barcode on PDF Report in Odoo 17
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdfAMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
AMERICAN LANGUAGE HUB_Level2_Student'sBook_Answerkey.pdf
 
Gas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptxGas measurement O2,Co2,& ph) 04/2024.pptx
Gas measurement O2,Co2,& ph) 04/2024.pptx
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...Procuring digital preservation CAN be quick and painless with our new dynamic...
Procuring digital preservation CAN be quick and painless with our new dynamic...
 
ENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choomENGLISH6-Q4-W3.pptxqurter our high choom
ENGLISH6-Q4-W3.pptxqurter our high choom
 
Science 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptxScience 7 Quarter 4 Module 2: Natural Resources.pptx
Science 7 Quarter 4 Module 2: Natural Resources.pptx
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptxMULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
 
How to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERPHow to do quick user assign in kanban in Odoo 17 ERP
How to do quick user assign in kanban in Odoo 17 ERP
 
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptxGrade 9 Q4-MELC1-Active and Passive Voice.pptx
Grade 9 Q4-MELC1-Active and Passive Voice.pptx
 

Theory of Knowledge - mathematics philosophies

  • 1. ToK - Mathematics An example of the “axiomatic approach” from geometry
  • 2. Axioms • These are assumptions and definitions which can be used to prove new results • Axiomatic assumptions do not have to be proved themselves, because they seem evident, for example - Angles on a straight line total two right angles - All right angles are equal to each other - Any two points may be joined by a straight line • And so on...
  • 3. Using axioms to get new results (theorems) a • • • • • • b c Prove that if a + c = two right angles, then b = c 1 a + c = two right angles (given in the problem) 2 a + b = two right angles (on a straight line) 3 therefore a + c = a + b (law of logic) 4 therefore c = b (law of logic) 5 therefore b = c (law of logic)
  • 4. A little philosophy... • Some propositions (statements which may or may not be true) actually have to be true by definition. The “classic” example is “All bachelors are unmarried”. • These are known as analytic propositions • Non-analytic propositions are called synthetic
  • 5. How do we decide if a proposition is true? • If we can tell that a proposition is true independent of experience, the proposition is called true a priori • If we can only tell that a proposition is true by means of experience, the proposition is called true a posteriori
  • 6. Some possible analyses for mathematics A posteriori A priori Analytic We say that 2 + 2 = 4 ( or II + II = IV, or whatever symbols you wish to use) in any situation just because we have chosen to define arithmetic in this way. FORMALISM IMPOSSIBLE Synthetic We say that 2 + 2 = 4 in any situation because it is an example of something that we can tell independent of direct experience but that does not just follow from the definition. PLATONISM We say that 2 + 2 = 4 in any situation because we have experienced instances of this truth and have generalised from there. EMPIRICISM
  • 7. Some main objections to these views • Empiricism: when you compare maths to science, for example, the degree of certainty seems much greater. Compare a scientific generalisation such as “all metals expand on heating” to “2n + 2n = 4n, whatever n stands for”. • Formalism: if mathematical statements are true or false just by definition, how come there are statements like Goldbach’s conjecture which we do not yet know the truth or falsehood of? How come our definitions have produced results which describe the real world so well?
  • 8. and Platonism? • This entails a world view where some truths can be found by reason alone • This view suffered a setback in the 18th & 19th centuries with the discovery of new geometries apart from the usual Euclidean (flat) type, but which obeyed the same basic axioms. The new geometries didn’t seem to describe the world as well as the original Euclidean type, but still worked very well within themselves (were consistent)
  • 9.
  • 10. A bigger problem for formalism • In 1931, the German logician Kurt Godel proved two Incompleteness Theorems. • These very technical proofs considered finding all the (true) results that could be deduced from a given set of axioms • Godel proved that there would always be some true result which would be omitted from the list (ie the list would be incomplete)
  • 11. • Godel showed that the result “This statement cannot be deduced from the axioms you started with.” had to be true • Therefore, however you tried to list all the results for your axioms, you would never get all the true statements • In other words, Maths had to be more than just applying logical (or illogical!) rules to a set of axioms and representing the results symbolically
  • 12. Discovered or created? • • • • What would a formalist say? What would a Platonist say? What would an empiricist say? What do you think?
  • 13. Is “discovery vs creation” a false dilemma? • Mathematicians create theories (eg differential calculus, spherical geometry, group theory) • Once the theory is created, the results within the theory are discovered (eg d/dx (x2) = 2x) • Therefore Mathematics involves both discovery and creation