SlideShare a Scribd company logo
1 of 4
Download to read offline
April 25, 2016 Masaki Miyashita1
Microeconomics Homework 1: Answers
Comments
1. Some of you mixed “what you presuppose”, “what you wish to show” and “what is derived
from assumptions or definitions”. The typical proof should have the following structure:
(1) Suppose · · · . / Take any · · · .
(2) (By · · · , / Since · · · , · · · holds.)
(3) Therefore, WTS.
2. Care about quantifier. Is it “any” element or “particular” element?
3. In Problem 4, the presumption mentions about only one direction. Actually, it is assumed
that [u(x) > u(y) =⇒ x ≻ y], but not vice versa. You need to claim that [x ≿ y =⇒
u(x) ≥ u(y)] by using contraposition.
4. There are many solutions for Problem 5, but the simplest way is maybe to construct
in practice. Many of you constructed a utility function by induction about the number
of alternatives. On the way, you might partition X into equivalence classes. I left this
important theorem in Appendix, so please see if you are interested in. (Here, I constructed
by the alternative way, this is much more simple.)
Problem 1
Take any x, y, z ∈ X with x ≻ y ≿ z. By x ≻ y, x ≿ y. Then, by the transitivity of ≿,
x ≿ z. If z ≿ x, then y ≿ x by the transitivity of ≿. This is a contradiction to x ≻ y. Hence,
¬(z ≿ x). Therefore, x ≻ z. □
Problem 2
(i). (Irreflexivity). Take any x ∈ X. If x ≻ x, then both x ≿ x and ¬(x ≿ x) hold
simultaneously, which is a contradiction. Hence, ¬(x ≻ x).
(Transitivity). Take any x, y, z ∈ X with x ≻ y ≻ z. By x ≻ y, x ≿ y and ¬(y ≿ x). By
y ≻ z, y ≿ z and ¬(z ≿ y). Thus, by the transitivity of ≿, x ≿ z. If z ≿ x, then y ≿ z ≿ x
holds by the transitivity of ≿. This is a contradiction to ¬(y ≿ x). Hence, ¬(z ≿ x). Therefore,
x ≻ z. □
(ii). (Reflexivity). Take any x ∈ X. By the completeness of ≿, x ≿ x. Hence, x ∼ x.
(Transitivity). Take any x, y, z ∈ X with x ∼ y ∼ z. By x ∼ y, x ≿ y and y ≿ x. By y ∼ z,
y ≿ z and z ≿ y. Then, by the transitivity of ≿, x ≿ z and z ≿ x hold. Hence, x ∼ z.
(Symmetry). Take any x, y ∈ X with x ∼ y. Then, x ≿ y and y ≿ x. Hence, y ∼ x. □
1
If you find any mistakes or typos, please let me know: nucleolus11@gmail.com
1
Problem 3
Take any x, y ∈ X.
First, suppose that x ≿ y. Since u is a utility function representing ≿, u(x) ≥ u(y). If
u(x) = u(y),
v(x) = f(u(x)) = f(u(y)) = v(y).
If u(x) > u(y), since f is strictly increasing,
v(x) = f(u(x)) > f(u(y)) = v(y).
In any case, v(x) ≥ v(y) holds.
Second, suppose that v(x) ≥ v(y). Since f is strictly increasing, u(x) > u(y). Then, since
u is a utility function representing ≿, x ≿ y holds. □
Problem 4
Take any x, y ∈ X.
First, suppose that x ≿ y. Let us show that u(x) ≥ u(y). If u(x) < u(y), then y ≻ x by the
assumption. This is a contradiction to x ≿ y. Hence, u(x) ≥ u(y) holds.
Second, suppose that u(x) ≥ u(y). If u(x) > u(y), then x ≻ y. If u(x) = u(y), then x ∼ y.
In any case, x ≿ y holds. □
Problem 5
For each x ∈ X, let L(x) = {y ∈ X : x ≿ y}. By the reflexibity of ≿,
x ∈ L(x), ∀x ∈ X. (1)
By the completeness of ≿,
x ∈ L(y) or y ∈ L(x), ∀x, y ∈ X. (2)
Define a real-valued function u : X → R by
u(x) = #L(x), ∀x ∈ X,
where #A expresses the number of elements in A. Because X is finite, u is well-defined.
Let us introduce two Lemmas.
Lemma 1. For any x, y ∈ X, x ∈ L(y) if and only if L(x) ⊂ L(y).
Proof. If part. Suppose that L(x) ⊂ L(y). By (1), x ∈ L(x). Hence, x ∈ L(y).
Only if part. Suppose that x ∈ L(y). Take any z ∈ L(x). Then, x ≿ z. By the assumption,
y ≿ x. By the transitivity of ≿, y ≿ z. Hence, z ∈ L(y). ■
Lemma 2. For any x, y ∈ X, #L(x) ≥ #L(y) implies L(y) ⊂ L(x).
2
Proof. Show by contraposition. Suppose that L(y) ̸⊂ L(x). Then, there exists z ∈ L(y)  L(x).
By z ∈ L(y) and Lemma 1, L(z) ⊂ L(y). By z /
∈ L(x) and (2), x ∈ L(z). Then, by Lemma 1,
L(x) ⊂ L(z). By the transitivity of ⊂, L(x) ⊂ L(y). Hence L(x) is a proper subset of L(y),
which implies #L(y) > #L(x). ■
Now, let us show that u is a utility function representing ≿. To see this, we use the result
of Problem 4. Take any x, y ∈ X.
First, suppose u(x) = u(y). Then, by Lemma 2, L(x) = L(y). This and (1) together imply
that x ∈ L(y) and y ∈ L(x). Hence, x ∼ y.
Second, suppose u(x) > u(y). Then, by Lemma 2, L(y) ⊂ L(x). From this and (1),
y ∈ L(x). Thus, x ≿ y. On the other hand, if x ∈ L(y), L(x) ⊂ L(y) by Lemma 1. Then
L(x) = L(y), but this is a contradiction to u(x) > u(y). So x /
∈ L(y), and thus ¬(y ≿ x).
Hence, x ≻ y.
Those arguments and Problem 4 together show that u is a utility function representing ≿.
Therefore, we have completed the proof. □
Appendix
A set can be partitioned into classes by a binary relation if and only if it is an equivalence
relation (reflexive, transitive and symmetric).
Theorem 1. Let ∼ be a binary relation on X. Define Ma ≡ {x ∈ X : a ∼ x} for all a ∈ X.
Then ∼ is an equivalence relation on X if and only if there exists ∆ ⊂ X satisfying
i) X =
∪
a∈∆
Ma;
ii) ∀a, b ∈ ∆ with a ̸= b, Ma ∩ Mb = ∅;
iii) ∀x ∈ X, [x ∈ Ma =⇒ Ma = Mx].
Proof. Step 1: If part. Let ∼ be a binary relation on X. Suppose that there exists ∆ ⊂ X
satisfying (i), (ii) and (iii).
(Reflexivity). Take any x ∈ X. By (i), there exists a ∈ ∆ such that x ∈ Ma. Then, by (iii),
Ma = Mx. Then x ∈ Xx, i.e., x ∼ x.
(Transitivity). Take any x, y, z ∈ X with x ∼ y and y ∼ z. Then,
y ∈ Mx and z ∈ My. (3)
By (i), there exist a, b, c ∈ ∆ such that
x ∈ Ma, y ∈ Mb and z ∈ Mc. (4)
Then, by (iii),
Ma = Mx, Mb = My and Mc = Mz. (5)
Then, by (3), (4) and (5), y ∈ Ma ∩ Mb and z ∈ Mb ∩ Mc, that is, Ma and Mb (Mb and Mc) are
not disjoint. Thus, by (ii), a = b = c. Hence, by (4) and (5), z ∈ Mx, i.e., x ∼ z.
3
(Symmetry). Take any x, y ∈ X with x ∼ y. Then,
y ∈ Mx. (6)
By (i), there exist a, b ∈ ∆ such that
x ∈ Ma and y ∈ Mb. (7)
Then, by (iii),
Ma = Mx and Mb = My. (8)
Then, by (6), (7) and (8), y ∈ Ma ∩ Mb, that is, Ma and Mb are not disjoint. Thus, by (ii),
a = b. Hence, by (7) and (8), x ∈ Xy, i.e., y ∼ x.
Step 2: Only if part. Suppose that ∼ is an equivalence relation on X. We claim that for
any x, y ∈ X, Mx and My are either disjoint or identical. To see this, pick any x, y ∈ X.
Case 1: x ∼ y. Let us show that Mx = My. First, take any z ∈ Mx. Then, x ∼ z. By the
symmetry of ∼, z ∼ x. By the transitivity of ∼, z ∼ y. Again, by the symmetry of ∼, y ∼ z.
Hence, z ∈ My. Conversely, take any z ∈ My. Then, y ∼ z. By the transitivity of ∼, x ∼ z.
Hence, z ∈ Mx. Therefore, Mx = My.
Case 2: ¬(x ∼ y). Let us show that Mx ∩ My = ∅. Suppose, by contradiction, that there
exists z ∈ Mx ∩ My. Then, x ∼ z and y ∼ z. By the transitivity and symmetry of ∼, x ∼ y, a
contradiction. Therefore, Mx ∩ My = ∅.
Now, consider the family M of all Mx. Usually, a set doesn’t count exactly the same element
“twice”.2
Therefore, all sets in M are distinct, and thus, pairwise-disjoint. Then, assigning
appropriate indices to each set in M (pick any a ∈ M for all M ∈ M as a representative
element), we get the partition M = {Ma}a∈∆ of X. Clearly, ∆ satisfies (i), (ii) and (iii) by the
construction. □
2
We never write {1, 2, 3, 5, 8, · · · } as {1, 1, 2, 3, 5, 8 · · · } even though 1 appears twice in the Fibonacci sequence.
4

More Related Content

Similar to Advanced Microeconomics

Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication AlgebrasSome Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication Algebrasijceronline
 
Conditional Expectations Liner algebra
Conditional Expectations Liner algebra Conditional Expectations Liner algebra
Conditional Expectations Liner algebra AZIZ ULLAH SURANI
 
Expectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.pptExpectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.pptAlyasarJabbarli
 
Transformation of random variables
Transformation of random variablesTransformation of random variables
Transformation of random variablesTarun Gehlot
 
Thesis defendence presentation
Thesis defendence presentationThesis defendence presentation
Thesis defendence presentationRobin Pokorny
 
_lecture_04_limits_partial_derivatives.pdf
_lecture_04_limits_partial_derivatives.pdf_lecture_04_limits_partial_derivatives.pdf
_lecture_04_limits_partial_derivatives.pdfLeoIrsi
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set differenceJan Plaza
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus OlooPundit
 
DerivativesXP.ppt
DerivativesXP.pptDerivativesXP.ppt
DerivativesXP.pptSnehSinha6
 
Andrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshopAndrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshopAndries Rusu
 
Integration by Parts, Part 2
Integration by Parts, Part 2Integration by Parts, Part 2
Integration by Parts, Part 2Pablo Antuna
 
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxLecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxcroysierkathey
 
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxLecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxjeremylockett77
 
February 11 2016
February 11 2016February 11 2016
February 11 2016khyps13
 
Discrete Structure Lecture #5 & 6.pdf
Discrete Structure Lecture #5 & 6.pdfDiscrete Structure Lecture #5 & 6.pdf
Discrete Structure Lecture #5 & 6.pdfMuhammadUmerIhtisham
 

Similar to Advanced Microeconomics (20)

Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication AlgebrasSome Other Properties of Fuzzy Filters on Lattice Implication Algebras
Some Other Properties of Fuzzy Filters on Lattice Implication Algebras
 
Conditional Expectations Liner algebra
Conditional Expectations Liner algebra Conditional Expectations Liner algebra
Conditional Expectations Liner algebra
 
Expectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.pptExpectation of Discrete Random Variable.ppt
Expectation of Discrete Random Variable.ppt
 
Transformation of random variables
Transformation of random variablesTransformation of random variables
Transformation of random variables
 
Course notes2summer2012
Course notes2summer2012Course notes2summer2012
Course notes2summer2012
 
X02PredCalculus.ppt
X02PredCalculus.pptX02PredCalculus.ppt
X02PredCalculus.ppt
 
Thesis defendence presentation
Thesis defendence presentationThesis defendence presentation
Thesis defendence presentation
 
Cs jog
Cs jogCs jog
Cs jog
 
Limits and derivatives
Limits and derivativesLimits and derivatives
Limits and derivatives
 
_lecture_04_limits_partial_derivatives.pdf
_lecture_04_limits_partial_derivatives.pdf_lecture_04_limits_partial_derivatives.pdf
_lecture_04_limits_partial_derivatives.pdf
 
2.3 Set difference
2.3 Set difference2.3 Set difference
2.3 Set difference
 
Pmath 351 note
Pmath 351 notePmath 351 note
Pmath 351 note
 
Differential Calculus
Differential Calculus Differential Calculus
Differential Calculus
 
DerivativesXP.ppt
DerivativesXP.pptDerivativesXP.ppt
DerivativesXP.ppt
 
Andrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshopAndrei rusu-2013-amaa-workshop
Andrei rusu-2013-amaa-workshop
 
Integration by Parts, Part 2
Integration by Parts, Part 2Integration by Parts, Part 2
Integration by Parts, Part 2
 
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxLecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
 
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docxLecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
Lecture13p.pdf.pdfThedeepness of freedom are threevalues.docx
 
February 11 2016
February 11 2016February 11 2016
February 11 2016
 
Discrete Structure Lecture #5 & 6.pdf
Discrete Structure Lecture #5 & 6.pdfDiscrete Structure Lecture #5 & 6.pdf
Discrete Structure Lecture #5 & 6.pdf
 

More from Jim Webb

When Practicing Writing Chinese, Is It Recommende
When Practicing Writing Chinese, Is It RecommendeWhen Practicing Writing Chinese, Is It Recommende
When Practicing Writing Chinese, Is It RecommendeJim Webb
 
016 King Essay Example Stephen Why We Crave H
016 King Essay Example Stephen Why We Crave H016 King Essay Example Stephen Why We Crave H
016 King Essay Example Stephen Why We Crave HJim Webb
 
How To Write An Essay Fast Essay Writing Guide - Greetinglines
How To Write An Essay Fast Essay Writing Guide - GreetinglinesHow To Write An Essay Fast Essay Writing Guide - Greetinglines
How To Write An Essay Fast Essay Writing Guide - GreetinglinesJim Webb
 
Essay Coaching Seven Secrets For Writing Standout College
Essay Coaching Seven Secrets For Writing Standout CollegeEssay Coaching Seven Secrets For Writing Standout College
Essay Coaching Seven Secrets For Writing Standout CollegeJim Webb
 
Write Essays That Get In And Get Money EBook - Comp
Write Essays That Get In And Get Money EBook - CompWrite Essays That Get In And Get Money EBook - Comp
Write Essays That Get In And Get Money EBook - CompJim Webb
 
Wicked Fun In First Grade
Wicked Fun In First GradeWicked Fun In First Grade
Wicked Fun In First GradeJim Webb
 
Research Paper Help ‒ Write My P
Research Paper Help ‒ Write My PResearch Paper Help ‒ Write My P
Research Paper Help ‒ Write My PJim Webb
 
How To Do A Term Paper. D
How To Do A Term Paper. DHow To Do A Term Paper. D
How To Do A Term Paper. DJim Webb
 
Essay Websites Life Philosophy Essay
Essay Websites Life Philosophy EssayEssay Websites Life Philosophy Essay
Essay Websites Life Philosophy EssayJim Webb
 
Baby Thesis Introduction Sample - Thesis Title Idea
Baby Thesis Introduction Sample - Thesis Title IdeaBaby Thesis Introduction Sample - Thesis Title Idea
Baby Thesis Introduction Sample - Thesis Title IdeaJim Webb
 
Buy Essay Paper - Purchase Cu
Buy Essay Paper - Purchase CuBuy Essay Paper - Purchase Cu
Buy Essay Paper - Purchase CuJim Webb
 
From Where Can I Avail Cheap Essa
From Where Can I Avail Cheap EssaFrom Where Can I Avail Cheap Essa
From Where Can I Avail Cheap EssaJim Webb
 
Writing Philosophy Papers
Writing Philosophy PapersWriting Philosophy Papers
Writing Philosophy PapersJim Webb
 
Paragraph Ipyu9-M682198491
Paragraph Ipyu9-M682198491Paragraph Ipyu9-M682198491
Paragraph Ipyu9-M682198491Jim Webb
 
PPT - Writing Biomedical Research Papers PowerPo
PPT - Writing Biomedical Research Papers PowerPoPPT - Writing Biomedical Research Papers PowerPo
PPT - Writing Biomedical Research Papers PowerPoJim Webb
 
Economics Summary Essay Example
Economics Summary Essay ExampleEconomics Summary Essay Example
Economics Summary Essay ExampleJim Webb
 
Who Are Professional Essay Writers And How Students Might Benefit From
Who Are Professional Essay Writers And How Students Might Benefit FromWho Are Professional Essay Writers And How Students Might Benefit From
Who Are Professional Essay Writers And How Students Might Benefit FromJim Webb
 
Sample Personal Statements Graduate School Persona
Sample Personal Statements Graduate School PersonaSample Personal Statements Graduate School Persona
Sample Personal Statements Graduate School PersonaJim Webb
 
Buy A Critical Analysis Paper
Buy A Critical Analysis PaperBuy A Critical Analysis Paper
Buy A Critical Analysis PaperJim Webb
 
Writing A Position Paper - MUNKi
Writing A Position Paper - MUNKiWriting A Position Paper - MUNKi
Writing A Position Paper - MUNKiJim Webb
 

More from Jim Webb (20)

When Practicing Writing Chinese, Is It Recommende
When Practicing Writing Chinese, Is It RecommendeWhen Practicing Writing Chinese, Is It Recommende
When Practicing Writing Chinese, Is It Recommende
 
016 King Essay Example Stephen Why We Crave H
016 King Essay Example Stephen Why We Crave H016 King Essay Example Stephen Why We Crave H
016 King Essay Example Stephen Why We Crave H
 
How To Write An Essay Fast Essay Writing Guide - Greetinglines
How To Write An Essay Fast Essay Writing Guide - GreetinglinesHow To Write An Essay Fast Essay Writing Guide - Greetinglines
How To Write An Essay Fast Essay Writing Guide - Greetinglines
 
Essay Coaching Seven Secrets For Writing Standout College
Essay Coaching Seven Secrets For Writing Standout CollegeEssay Coaching Seven Secrets For Writing Standout College
Essay Coaching Seven Secrets For Writing Standout College
 
Write Essays That Get In And Get Money EBook - Comp
Write Essays That Get In And Get Money EBook - CompWrite Essays That Get In And Get Money EBook - Comp
Write Essays That Get In And Get Money EBook - Comp
 
Wicked Fun In First Grade
Wicked Fun In First GradeWicked Fun In First Grade
Wicked Fun In First Grade
 
Research Paper Help ‒ Write My P
Research Paper Help ‒ Write My PResearch Paper Help ‒ Write My P
Research Paper Help ‒ Write My P
 
How To Do A Term Paper. D
How To Do A Term Paper. DHow To Do A Term Paper. D
How To Do A Term Paper. D
 
Essay Websites Life Philosophy Essay
Essay Websites Life Philosophy EssayEssay Websites Life Philosophy Essay
Essay Websites Life Philosophy Essay
 
Baby Thesis Introduction Sample - Thesis Title Idea
Baby Thesis Introduction Sample - Thesis Title IdeaBaby Thesis Introduction Sample - Thesis Title Idea
Baby Thesis Introduction Sample - Thesis Title Idea
 
Buy Essay Paper - Purchase Cu
Buy Essay Paper - Purchase CuBuy Essay Paper - Purchase Cu
Buy Essay Paper - Purchase Cu
 
From Where Can I Avail Cheap Essa
From Where Can I Avail Cheap EssaFrom Where Can I Avail Cheap Essa
From Where Can I Avail Cheap Essa
 
Writing Philosophy Papers
Writing Philosophy PapersWriting Philosophy Papers
Writing Philosophy Papers
 
Paragraph Ipyu9-M682198491
Paragraph Ipyu9-M682198491Paragraph Ipyu9-M682198491
Paragraph Ipyu9-M682198491
 
PPT - Writing Biomedical Research Papers PowerPo
PPT - Writing Biomedical Research Papers PowerPoPPT - Writing Biomedical Research Papers PowerPo
PPT - Writing Biomedical Research Papers PowerPo
 
Economics Summary Essay Example
Economics Summary Essay ExampleEconomics Summary Essay Example
Economics Summary Essay Example
 
Who Are Professional Essay Writers And How Students Might Benefit From
Who Are Professional Essay Writers And How Students Might Benefit FromWho Are Professional Essay Writers And How Students Might Benefit From
Who Are Professional Essay Writers And How Students Might Benefit From
 
Sample Personal Statements Graduate School Persona
Sample Personal Statements Graduate School PersonaSample Personal Statements Graduate School Persona
Sample Personal Statements Graduate School Persona
 
Buy A Critical Analysis Paper
Buy A Critical Analysis PaperBuy A Critical Analysis Paper
Buy A Critical Analysis Paper
 
Writing A Position Paper - MUNKi
Writing A Position Paper - MUNKiWriting A Position Paper - MUNKi
Writing A Position Paper - MUNKi
 

Recently uploaded

Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfagholdier
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsTechSoup
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...christianmathematics
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104misteraugie
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfAyushMahapatra5
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfchloefrazer622
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 

Recently uploaded (20)

Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
Introduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The BasicsIntroduction to Nonprofit Accounting: The Basics
Introduction to Nonprofit Accounting: The Basics
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104Nutritional Needs Presentation - HLTH 104
Nutritional Needs Presentation - HLTH 104
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Class 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdfClass 11th Physics NEET formula sheet pdf
Class 11th Physics NEET formula sheet pdf
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Disha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdfDisha NEET Physics Guide for classes 11 and 12.pdf
Disha NEET Physics Guide for classes 11 and 12.pdf
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 

Advanced Microeconomics

  • 1. April 25, 2016 Masaki Miyashita1 Microeconomics Homework 1: Answers Comments 1. Some of you mixed “what you presuppose”, “what you wish to show” and “what is derived from assumptions or definitions”. The typical proof should have the following structure: (1) Suppose · · · . / Take any · · · . (2) (By · · · , / Since · · · , · · · holds.) (3) Therefore, WTS. 2. Care about quantifier. Is it “any” element or “particular” element? 3. In Problem 4, the presumption mentions about only one direction. Actually, it is assumed that [u(x) > u(y) =⇒ x ≻ y], but not vice versa. You need to claim that [x ≿ y =⇒ u(x) ≥ u(y)] by using contraposition. 4. There are many solutions for Problem 5, but the simplest way is maybe to construct in practice. Many of you constructed a utility function by induction about the number of alternatives. On the way, you might partition X into equivalence classes. I left this important theorem in Appendix, so please see if you are interested in. (Here, I constructed by the alternative way, this is much more simple.) Problem 1 Take any x, y, z ∈ X with x ≻ y ≿ z. By x ≻ y, x ≿ y. Then, by the transitivity of ≿, x ≿ z. If z ≿ x, then y ≿ x by the transitivity of ≿. This is a contradiction to x ≻ y. Hence, ¬(z ≿ x). Therefore, x ≻ z. □ Problem 2 (i). (Irreflexivity). Take any x ∈ X. If x ≻ x, then both x ≿ x and ¬(x ≿ x) hold simultaneously, which is a contradiction. Hence, ¬(x ≻ x). (Transitivity). Take any x, y, z ∈ X with x ≻ y ≻ z. By x ≻ y, x ≿ y and ¬(y ≿ x). By y ≻ z, y ≿ z and ¬(z ≿ y). Thus, by the transitivity of ≿, x ≿ z. If z ≿ x, then y ≿ z ≿ x holds by the transitivity of ≿. This is a contradiction to ¬(y ≿ x). Hence, ¬(z ≿ x). Therefore, x ≻ z. □ (ii). (Reflexivity). Take any x ∈ X. By the completeness of ≿, x ≿ x. Hence, x ∼ x. (Transitivity). Take any x, y, z ∈ X with x ∼ y ∼ z. By x ∼ y, x ≿ y and y ≿ x. By y ∼ z, y ≿ z and z ≿ y. Then, by the transitivity of ≿, x ≿ z and z ≿ x hold. Hence, x ∼ z. (Symmetry). Take any x, y ∈ X with x ∼ y. Then, x ≿ y and y ≿ x. Hence, y ∼ x. □ 1 If you find any mistakes or typos, please let me know: nucleolus11@gmail.com 1
  • 2. Problem 3 Take any x, y ∈ X. First, suppose that x ≿ y. Since u is a utility function representing ≿, u(x) ≥ u(y). If u(x) = u(y), v(x) = f(u(x)) = f(u(y)) = v(y). If u(x) > u(y), since f is strictly increasing, v(x) = f(u(x)) > f(u(y)) = v(y). In any case, v(x) ≥ v(y) holds. Second, suppose that v(x) ≥ v(y). Since f is strictly increasing, u(x) > u(y). Then, since u is a utility function representing ≿, x ≿ y holds. □ Problem 4 Take any x, y ∈ X. First, suppose that x ≿ y. Let us show that u(x) ≥ u(y). If u(x) < u(y), then y ≻ x by the assumption. This is a contradiction to x ≿ y. Hence, u(x) ≥ u(y) holds. Second, suppose that u(x) ≥ u(y). If u(x) > u(y), then x ≻ y. If u(x) = u(y), then x ∼ y. In any case, x ≿ y holds. □ Problem 5 For each x ∈ X, let L(x) = {y ∈ X : x ≿ y}. By the reflexibity of ≿, x ∈ L(x), ∀x ∈ X. (1) By the completeness of ≿, x ∈ L(y) or y ∈ L(x), ∀x, y ∈ X. (2) Define a real-valued function u : X → R by u(x) = #L(x), ∀x ∈ X, where #A expresses the number of elements in A. Because X is finite, u is well-defined. Let us introduce two Lemmas. Lemma 1. For any x, y ∈ X, x ∈ L(y) if and only if L(x) ⊂ L(y). Proof. If part. Suppose that L(x) ⊂ L(y). By (1), x ∈ L(x). Hence, x ∈ L(y). Only if part. Suppose that x ∈ L(y). Take any z ∈ L(x). Then, x ≿ z. By the assumption, y ≿ x. By the transitivity of ≿, y ≿ z. Hence, z ∈ L(y). ■ Lemma 2. For any x, y ∈ X, #L(x) ≥ #L(y) implies L(y) ⊂ L(x). 2
  • 3. Proof. Show by contraposition. Suppose that L(y) ̸⊂ L(x). Then, there exists z ∈ L(y) L(x). By z ∈ L(y) and Lemma 1, L(z) ⊂ L(y). By z / ∈ L(x) and (2), x ∈ L(z). Then, by Lemma 1, L(x) ⊂ L(z). By the transitivity of ⊂, L(x) ⊂ L(y). Hence L(x) is a proper subset of L(y), which implies #L(y) > #L(x). ■ Now, let us show that u is a utility function representing ≿. To see this, we use the result of Problem 4. Take any x, y ∈ X. First, suppose u(x) = u(y). Then, by Lemma 2, L(x) = L(y). This and (1) together imply that x ∈ L(y) and y ∈ L(x). Hence, x ∼ y. Second, suppose u(x) > u(y). Then, by Lemma 2, L(y) ⊂ L(x). From this and (1), y ∈ L(x). Thus, x ≿ y. On the other hand, if x ∈ L(y), L(x) ⊂ L(y) by Lemma 1. Then L(x) = L(y), but this is a contradiction to u(x) > u(y). So x / ∈ L(y), and thus ¬(y ≿ x). Hence, x ≻ y. Those arguments and Problem 4 together show that u is a utility function representing ≿. Therefore, we have completed the proof. □ Appendix A set can be partitioned into classes by a binary relation if and only if it is an equivalence relation (reflexive, transitive and symmetric). Theorem 1. Let ∼ be a binary relation on X. Define Ma ≡ {x ∈ X : a ∼ x} for all a ∈ X. Then ∼ is an equivalence relation on X if and only if there exists ∆ ⊂ X satisfying i) X = ∪ a∈∆ Ma; ii) ∀a, b ∈ ∆ with a ̸= b, Ma ∩ Mb = ∅; iii) ∀x ∈ X, [x ∈ Ma =⇒ Ma = Mx]. Proof. Step 1: If part. Let ∼ be a binary relation on X. Suppose that there exists ∆ ⊂ X satisfying (i), (ii) and (iii). (Reflexivity). Take any x ∈ X. By (i), there exists a ∈ ∆ such that x ∈ Ma. Then, by (iii), Ma = Mx. Then x ∈ Xx, i.e., x ∼ x. (Transitivity). Take any x, y, z ∈ X with x ∼ y and y ∼ z. Then, y ∈ Mx and z ∈ My. (3) By (i), there exist a, b, c ∈ ∆ such that x ∈ Ma, y ∈ Mb and z ∈ Mc. (4) Then, by (iii), Ma = Mx, Mb = My and Mc = Mz. (5) Then, by (3), (4) and (5), y ∈ Ma ∩ Mb and z ∈ Mb ∩ Mc, that is, Ma and Mb (Mb and Mc) are not disjoint. Thus, by (ii), a = b = c. Hence, by (4) and (5), z ∈ Mx, i.e., x ∼ z. 3
  • 4. (Symmetry). Take any x, y ∈ X with x ∼ y. Then, y ∈ Mx. (6) By (i), there exist a, b ∈ ∆ such that x ∈ Ma and y ∈ Mb. (7) Then, by (iii), Ma = Mx and Mb = My. (8) Then, by (6), (7) and (8), y ∈ Ma ∩ Mb, that is, Ma and Mb are not disjoint. Thus, by (ii), a = b. Hence, by (7) and (8), x ∈ Xy, i.e., y ∼ x. Step 2: Only if part. Suppose that ∼ is an equivalence relation on X. We claim that for any x, y ∈ X, Mx and My are either disjoint or identical. To see this, pick any x, y ∈ X. Case 1: x ∼ y. Let us show that Mx = My. First, take any z ∈ Mx. Then, x ∼ z. By the symmetry of ∼, z ∼ x. By the transitivity of ∼, z ∼ y. Again, by the symmetry of ∼, y ∼ z. Hence, z ∈ My. Conversely, take any z ∈ My. Then, y ∼ z. By the transitivity of ∼, x ∼ z. Hence, z ∈ Mx. Therefore, Mx = My. Case 2: ¬(x ∼ y). Let us show that Mx ∩ My = ∅. Suppose, by contradiction, that there exists z ∈ Mx ∩ My. Then, x ∼ z and y ∼ z. By the transitivity and symmetry of ∼, x ∼ y, a contradiction. Therefore, Mx ∩ My = ∅. Now, consider the family M of all Mx. Usually, a set doesn’t count exactly the same element “twice”.2 Therefore, all sets in M are distinct, and thus, pairwise-disjoint. Then, assigning appropriate indices to each set in M (pick any a ∈ M for all M ∈ M as a representative element), we get the partition M = {Ma}a∈∆ of X. Clearly, ∆ satisfies (i), (ii) and (iii) by the construction. □ 2 We never write {1, 2, 3, 5, 8, · · · } as {1, 1, 2, 3, 5, 8 · · · } even though 1 appears twice in the Fibonacci sequence. 4