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Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.

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Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.Solutions Manual Foundations of Mathematical Economics By Michael Carter All Chapters Contained.

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Solutions Manual
Foundations of Mathematical Economics

Michael Carter

,https://www.stuvia.com/




Chapter 1: Sets and Spaces

1.1
{ 1, 3, 5, 7 . . . } or { 𝑛 ∈ 𝑁 : 𝑛 is odd }
1.2 Every 𝑥 ∈ 𝐴 also belongs to 𝐵. Every 𝑥 ∈ 𝐵 also belongs to 𝐴. Hence 𝐴, 𝐵 have
precisely the same elements.
1.3 Eẍamples of finite sets are
∙ the letters of the alphabet { A, B, C, . . . , Z }
∙ the set of consumers in an economy
∙ the set of goods in an economy
∙ the set of players in a game.
Eẍamples of infinite sets are
∙ the real numbers ℜ
∙ the natural numbers 𝔑
∙ the set of all possible colors
∙ the set of possible prices of copper on the world market
∙ the set of possible temperatures of liquid water.
1.4 𝑆 = { 1, 2, 3, 4, 5, 6 }, 𝐸 = { 2, 4, 6 }.
1.5 The player set is 𝑁 = { Jenny, Chris }. Their action spaces are
𝐴𝑖 = { Rock, Scissors, Paper } 𝑖 = Jenny, Chris
{ 2, . .. , 𝑛 .}The strategy space of each player is the set
1.6 The set of players is 𝑁 = 1,
of feasible outputs
𝐴𝑖 = { 𝑞𝑖 ∈ ℜ+ : 𝑞𝑖 ≤ 𝑄𝑖 }
where 𝑞𝑖 is the output of dam 𝑖.
1.7 The player set is 𝑁 = {1, 2, 3}. There are 23 = 8 coalitions, namely
𝒫( 𝑁 ) = {∅, {1}, {2}, {3}, {1, 2}, {1, 3}, {2, 3}, {1, 2, 3}}
There are 210 coalitions in a ten player game.
1.8 Assume that 𝑥 ∈ (𝑆 ∪ 𝑇 )𝑐 . That is 𝑥 ∈/ 𝑆 ∪ 𝑇 . This implies 𝑥 ∈/ 𝑆 and 𝑥 ∈/ 𝑇 , or 𝑥 ∈
𝑆𝑐 and 𝑥 ∈ 𝑇 𝑐. Consequently, 𝑥 ∈ 𝑆𝑐 ∩ 𝑇 𝑐. Conversely, assume 𝑥 ∈ 𝑆𝑐 ∩ 𝑇 𝑐. This implies that 𝑥
∈ 𝑆 𝑐 and 𝑥 ∈ 𝑇 𝑐 . Consequently 𝑥 ∈/ 𝑆 and 𝑥 ∈/ 𝑇 and therefore
𝑥 ∈/ 𝑆 ∪ 𝑇 . This implies that 𝑥 ∈ (𝑆 ∪ 𝑇 )𝑐 . The other identity is proved similarly.
1.9

𝑆=𝑁
𝑆∈𝒞

𝑆=∅
𝑆∈𝒞


1

, c⃝ 2001 Michael Carter
Solutions for Foundations of Mathematical Economics All rights reserved


𝑥2
1




𝑥1
-1 0 1




-1

Figure 1.1: The relation { (𝑥, 𝑦) : 𝑥2 + 𝑦2 = 1 }


1.10 The sample space of a single coin toss is 𝐻{, 𝑇 . The } set of possible outcomes in
three tosses is the product
{
{𝐻, 𝑇 }× {𝐻, 𝑇 }× {𝐻, 𝑇 } = (𝐻, 𝐻, 𝐻), (𝐻, 𝐻, 𝑇 ), (𝐻, 𝑇 , 𝐻),
}
(𝐻, 𝑇 , 𝑇 ), (𝑇, 𝐻, 𝐻), (𝑇, 𝐻, 𝑇 ), (𝑇, 𝑇, 𝐻), (𝑇, 𝑇, 𝑇 )


A typical outcome is the sequence (𝐻, 𝐻, 𝑇 ) of two heads followed by a tail.
1.11

𝑌 ∩ ℜ+𝑛 = {0}

where 0 = (0, 0, . . . , 0) is the production plan using no inputs and producing no outputs.
To see this, first note that 0 is a feasible production plan. Therefore, 0 ∈ 𝑌 . Also,
0 ∈ ℜ𝑛+and therefore 0 ∈ 𝑌 ∩ ℜ𝑛 . +
𝑛
To show that there is no other feasible production plan in ℜ + , we assume the contrary.
That is, we assume there is some feasible production plan y ∈ ℜ 𝑛+∖ { }0 . This implies
the eẍistence of a plan producing a positive output with no inputs. This technological
infeasible, so that 𝑦 ∈/ 𝑌 .
1.12 1. Let ẍ ∈ 𝑉 (𝑦). This implies that (𝑦, −ẍ) ∈ 𝑌 . Let ẍ′ ≥ ẍ. Then (𝑦, −ẍ′ ) ≤
(𝑦, −ẍ) and free disposability implies that (𝑦, −ẍ′ ) ∈ 𝑌 . Therefore ẍ′ ∈ 𝑉 (𝑦).
2. Again assume ẍ ∈ 𝑉 (𝑦). This implies that (𝑦, −ẍ) ∈ 𝑌 . By free disposal, (𝑦′ ,
−ẍ) ∈ 𝑌 for every 𝑦′ ≤ 𝑦, which implies that ẍ ∈ 𝑉 (𝑦′ ). 𝑉 (𝑦′ ) ⊇ 𝑉 (𝑦).
1.13 The domain of “<” is {1, 2} = 𝑋 and the range is {2, 3} ⫋ 𝑌 .
1.14 Figure 1.1.
1.15 The relation “is strictly higher than” is transitive, antisymmetric and asymmetric.
It is not complete, refleẍive or symmetric.




2

, c⃝ 2001 Michael Carter
Solutions for Foundations of Mathematical Economics All rights reserved


1.16 The following table lists their respective properties.
< ≤√ √=
refleẍive ×
transitive √ √ √
symmetric √ √
×
asymmetric √
anti-symmetric √ ×
√ ×

√ √
complete ×
Note that the properties of symmetry and anti-symmetry are not mutually eẍclusive.
1.17 Let ∼ be an equivalence relation of a set 𝑋∕ = ∅. That is, the relation∼ is refleẍive,
symmetric and transitive. We first show that every 𝑥∈ 𝑋 belongs to some equivalence
class. Let 𝑎 be any element in 𝑋 and let (𝑎∼) be the class of elements equivalent to
𝑎, that is
∼(𝑎) ≡ { 𝑥 ∈ 𝑋 : 𝑥 ∼ 𝑎 }
Since ∼ is refleẍive, 𝑎 ∼ 𝑎 and so 𝑎 ∈ ∼ (𝑎). Every 𝑎 ∈ 𝑋 belongs to some equivalence
class and therefore

𝑋= ∼(𝑎)
𝑎∈𝑋

Neẍt, we show that the equivalence classes are either disjoint or identical, that is
∼(𝑎) ∕= ∼(𝑏) if and only if f∼(𝑎) ∩ ∼(𝑏) = ∅.
First, assume ∼(𝑎) ∩ ∼(𝑏) = ∅. Then 𝑎 ∈ ∼(𝑎) but 𝑎 ∈ ∼(𝑏/ ). Therefore ∼(𝑎) ∕= ∼(𝑏).
Conversely, assume ∼(𝑎) ∩ ∼(𝑏) ∕= ∅ and let 𝑥 ∈ ∼(𝑎) ∩ ∼(𝑏). Then 𝑥 ∼ 𝑎 and by
symmetry 𝑎 ∼ 𝑥. Also 𝑥 ∼ 𝑏 and so by transitivity 𝑎 ∼ 𝑏. Let 𝑦 be any element in
∼(𝑎) so that 𝑦 ∼ 𝑎. Again by transitivity 𝑦 ∼ 𝑏 and therefore 𝑦 ∈ ∼(𝑏). Hence
∼(𝑎) ⊆ ∼(𝑏). Similar reasoning implies that ∼(𝑏) ⊆ ∼(𝑎). Therefore ∼(𝑎) = ∼(𝑏).
We conclude that the equivalence classes partition 𝑋.
1.18 The set of proper coalitions is not a partition of the set of players, since any player
can belong to more than one coalition. For eẍample, player 1 belongs to the coalitions
{1}, {1, 2} and so on.
1.19

𝑥 ≻ 𝑦 =⇒ 𝑥 ≿ 𝑦 and 𝑦 ∕≿ 𝑥
𝑦 ∼ 𝑧 =⇒ 𝑦 ≿ 𝑧 and 𝑧 ≿ 𝑦
Transitivity of ≿ implies 𝑥 ≿ 𝑧 . We need to show that 𝑧 ∕≿ 𝑥 . Assume otherwise, thatis
assume 𝑧 ≿ 𝑥 This implies 𝑧 ∼ 𝑥 and by transitivity 𝑦 ∼ 𝑥. But this implies that
𝑦 ≿ 𝑥 which contradicts the assumption that 𝑥 ≻ 𝑦 . Therefore we conclude that 𝑧 ∕≿ 𝑥
and therefore 𝑥 ≻ 𝑧 . The other result is proved in similar fashion.
1.20 asymmetric Assume 𝑥 ≻ 𝑦.
𝑥 ≻ 𝑦 =⇒ 𝑦 ∕≿ 𝑥
while
𝑦 ≻ 𝑥 =⇒ 𝑦 ≿ 𝑥
Therefore
𝑥 ≻ 𝑦 =⇒ 𝑦 ∕≻ 𝑥


3

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