M Foundations of Mathematical Economics
M M M
Michael Carter
M M
, ⃝ c 2001 Michael Carter
M MM M M
Solutions for Foundations of Mathematical M M M M All rights reserved M M
MEconomics
Chapter 1: Sets and Spaces M M M M
1.1
{1, 3, 5, 7 . . . }or {� ∈ � : � is odd }
M M M M M M M M M M M M M M M M
1.2 Every �∈ � also belongs to �. Every �
∈ � also belongs to �. Hence �, �
M M M M M M M M M M M M M M
Mhaveprecisely the same elements.
M M M M
1.3 Examples of finite sets are M M M M
∙ the letters of the alphabet {A, B, C, . . . , Z }
M M M M M M M M M M M M
∙ the set of consumers in an economy M M M M M M
∙ the set of goods in an economy M M M M M M
∙ the set of players in a M M M M M
M game.Examples of infinite setsM M M M
M are
∙ the real numbers ℜ M M M
∙ the natural numbers � M M M
∙ the set of all possible colors M M M M M
∙ the set of possible prices of copper on the world market
M M M M M M M M M M
∙ the set of possible temperatures of liquid water.
M M M M M M M
1.4 � = {1, 2, 3, 4, 5, 6 }, � = {2, 4, 6 }.
M M M M M M M M M M M M M M M M M
1.5 The player set is � = {Jenny, Chris } . Their action spaces are
M M M M M M M M M M M M M
�� = {Rock, Scissors, Paper }
M M M M M M � = Jenny, Chris
M M M
1.6 The set of players is � ={ 1, 2 , . . ., �} . The strategy space of each player is the
M M M M M M M M M M M M M M M M M M
Mset of feasible outputs
M M M
�� = {�� ∈ ℜ + : �� ≤ �� }
M M M M M M M M M M
where �� is the output of dam �.
M MM MM M M M M
3
1.7 The player set is � = {1, 2, 3}. There are 2 = 8 coalitions, namely
M M M M M M M M M M M M M M M
� (�) = {∅ , {1}, {2}, {3}, {1, 2}, {1, 3}, {2, 3}, {1, 2, 3}}
M M M M M M M M M M M M M M M
10
There are 2 M M M coalitions in a ten player game. M M M M M
�
1.8 Assume that � ∈ (� ∪ �) . That is � ∈/ � ∪ �. This implies � ∈/ � and � ∈/ �, or �∈
M M MM MM MM M M M M MMM MM MM MM MM M M M M MM MM MM MM MM MM MM MM MM M M M M
�� and �∈ ��. Consequently, �∈ �� ∩ ��. Conversely, assume �∈ �� ∩ ��. This implies
M M M M M M M M M M M M M M M M M M M M M M MM M
that � ∈ �� and � ∈ ��. Consequently �∈/ � and �∈/ � and therefore
M MM M M MM MM M M M M MM MM M MM MM MM M MM MM MM
�∈/ � ∪ �. This implies that � ∈ (� ∪ �)�. The other identity is proved similarly.
M M M M M M MM M M M M M M M M M M M M
1.9
∪
�= � M M
�∈�
∩
�=∅ M M
�∈�
1
, ⃝ c 2001 Michael Carter
M MM M M
Solutions for Foundations of Mathematical M M M M All rights reserved M M
MEconomics
�2
1
�1
-1 0 1
-1
2 2
Figure 1.1: The relation {(�, �) : � + � = 1 }M M M M M M M M M M M M M
1.10 The sample space of a single coin toss is{�, � .}The set of possible outcomes
M M M M M M M M M M M M M M M M M
Minthree tosses is the product
M M M M M
{
{�, �} ×{�, �} ×{�, �}= (�, �, �), (�, �, �), (�, �, �),
M M M M M M M M M M M M M M M M M M M M
}
(�, �, �), (�, �, �), (�, �, �), (�, �, �), (�, �, �) M M M M M M M M M M M M M M M M M M
A typical outcome is the sequence (�, �, �) of two heads followed by a tail.
M M M M M M M M M M M M M M M M
1.11
� ∩ℜ+� = {0} M M
M
M
where 0 = (0, 0 , . . . , 0) is the production plan using no inputs and producing no outputs.
M M M M M M M M M M M M M M M M M
To see this, first note that 0 is a feasible production plan. Therefore, 0 ∈ �.
M M M M M M M M M M M M M M M M M
Also, M
0 ∈ ℜ �+ and therefore 0 ∈ � ∩ℜ � .+
M M
M
M M M M M M
M
To show that there is no other feasible production plan in ℜ �
M M
+ , we assume the contrary.
M M M M M M M M M M M M M M M M M M
�
That is, we assume there is some feasible production plan y ∈ ℜ +
M M M M ∖ { } 0 . This implies M M M M M M M M M M M MM M M M
M MM M M MM M M M M M M M
the existence of a plan producing a positive output with no inputs. This technological
M M M M M M M M M M M M M M
infeasible, so that �∈/ �.
M M M M M M M
1.12 1. Let x ∈ �(�). This implies that (�, − x) ∈ �. Let x′ ≥ x. Then (�, − x′ ) ≤
MM MM M M M MM MM MM MM M M M M MM MM M M M M MM M M
(�, − x) and free disposability implies that (�, − x′ ) ∈ �. Therefore x′ ∈ �(�).
M M M M M MM M M M M M M M M M M
2. Again assume x ∈ �(�). This implies that (�, − x) ∈ �. By free disposal,
M M MM MM M M M M MMMM MM M M M M M M M M M MMMM MM M M
(�′ , − x) ∈ � for every �′ ≤ �, which implies that x ∈ �(�′ ). �(�′ ) ⊇ �(�).
M M M M M M M M M M M M MM M M M M MM M M M M
1.13 The domain of “<” is {1, 2}= � and the range is {2, 3}⫋ �.
M M M M M M M M M M M M M M M M M
1.14 Figure 1.1. M
1.15 The relation “is strictly higher than” is transitive, antisymmetric and
M M M M M M M M M
Masymmetric.It is not complete, reflexive or symmetric. M M M M M M M
2
, ⃝ c 2001 Michael Carter
M MM M M
Solutions for Foundations of Mathematical M M M M All rights reserved M M
MEconomics
1.16 The following table lists their respective properties.
M M M M M M
< ≤√ √= M M
× reflexive
√ √ √
M M
transitive M M
symmetric √ √
×
M M
√
M M
asymmetric
anti-symmetric √ × ×
√ √ M M
M M
√ √ M M
complete ×
Note that the properties of symmetry and anti-symmetry are not mutually exclusive.
M M M M M M M M M M M
1.17 Let ∼be an equivalence relation of a set �∕ = ∅. That is, the relation∼ is reflexive,
M M M M M M M M M M M M M M M M M
symmetric and transitive. We first show that every �∈ � belongs to some equivalence
M M M M M M M M M M M M M M
class. Let � be any element in � and let
M M ∼ (�) be the class of elements equivalent
M M M M M M M M M M M M M M M
Mto
�, that is
M M
∼(�) ≡{� ∈ � : � ∼ �} M M M M M M M M M M
Since ∼ is reflexive, �∼ �and so �∈ ∼ (�). Every �∈ � belongs to some
M M M M M M M M M M M
Mequivalenceclass and therefore M M M
∪
�= ∼(�) M
�∈�
Next, we show that the equivalence classes are either disjoint or identical,
M M M M M M M M M M M M
that is M M
∼(�) ∕= ∼(�) if and only if f∼(�) ∩∼ (�) = ∅ .
M M M M M M M M M M M
First, assume ∼(�) ∩∼ (�) = ∅ . Then � ∈ ∼ (�) but �∈
M �
/ ∼( M M M M M M M M M M MM ). Therefore ∼(�) ∕= ∼(�).
M M M M
Conversely, assume ∼(�) ∩∼ (�) ∕= ∅ and let � ∈ ∼(�) ∩∼ (�). Then � ∼ � and bysymmetry
MM MM M M MM MM M MM MM MM M M M MM M MM MM M MM MM M
M� ∼ �. Also � ∼ �and so by transitivity � ∼ �. Let � be any element in ∼(�) so
M M MMM M M M M M M M M M M MMM M M M M M MM MM M
that � ∼ �. Again by transitivity � ∼ � and therefore � ∈ ∼(�). Hence
M MM MM M MMM MM MM MM MM M MM MM MM MM M MMM
∼(�) ⊆ ∼ (�). Similar reasoning implies that ∼(�) ⊆ ∼ (�). Therefore ∼(�) = ∼(�).
M M M MM M MM M M M M M M M
We conclude that the equivalence classes partition �.
M M M M M M M
1.18 The set of proper coalitions is not a partition of the set of players, since any
M M M M M M M M M M M M M M M
playercan belong to more than one coalition. For example, player 1 belongs to the
M M M M M M M M M M M M M M M
Mcoalitions
{1}, {1, 2}and so on.
M M M M M
1.19
� ≻� =⇒ � ≿ � and � ∕≿ �
M M M M M M M M M M
� ∼ � =⇒ � ≿ � and � ≿ �
M M M M M M M M M M
Transitivity of ≿ implies �≿ �. We need to show that � ∕≿ �. Assume otherwise, thatis
M M M M M M M M M M M M M M M M M M
Massume � ≿ � This implies � ∼� and by transitivity � ∼�. But this implies that
M M M M M M M M M M M M M M M M M M
� ≿ � which contradicts the assumption that � ≻�. Therefore we conclude that � ∕≿ �
M M M M M M M M M M M M M M M M M
and therefore � ≻�. The other result is proved in similar fashion.
M M M M M M M M M M M M
1.20 asymmetric Assume � ≻�. M M M M
� ≻� =⇒ � ∕≿ � M M M M M M
while
� ≻� =⇒ � ≿ � M M M M M M
Therefore
3