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Walrasian Equilibrium: Proof of Existence

Ram Singh

Lecture 6

September 27, 2017

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Market Equilibrium Price I

Definition

Walrasian Equilibrium Price: A price vectorpis equilibrium price vector, if for allj =1, ...,M,

zj(p) =

N

X

i=1

xji(p,p.ei)−

N

X

i=1

eij =0, i.e., if

z(p) =0= (0, ...,0).

Proposition

Ifpis equilibrium price vector, thenp0=tp, t >0, is also an equilibrium price vector

Ifpis equilibrium price vector, thenp06=tp,t >0, may or may not be an equilibrium price vector

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WE: General Case I

References: Jehle and Reny (2008).

Also see: Arrow and Debreu (1954), and McKenzie (2008); Arrow and Hahn (1971).

Recall, we have

For alli =1,2, ...,N, we have:xi(tp) =xi(p), for allt >0.

z(tp) =z(p), for allt>0.

Let

pˆ= (ˆp1, ...,ˆpM)>>(0, ...,0)be a price vector t =pˆ 1

1,...,ˆpM

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WE: General Case II

Thenp=tpˆis such that

pj ≥>0 and

M

X

j=1

pj =1

Without any loss of generality, we can restrict attention to the following set

P=

p= (p1, ...,pM)|

M

X

j=1

pj =1 andpj ≥ 1+2M

 ,

where≥0.

Remark

Note thatPis non-empty, bounded, closed and convex set for all∈(0,1).

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WE: General Case III

Theorem

Suppose ui(.)satisfies the above assumptions, ande>>0. Let{ps}be a sequence of price vectors inRM++, such that

{ps}converges to¯p, where

p¯∈RM+,p¯6=0, but for some j,p¯j =0.

Then, for some good k with¯pk =0, the sequence of excess demand (associated with{ps}), say{zk(ps)}, is unbounded above.

Theorem

Under the above assumptions on ui, there exists a price vectorp>>0, such thatz(p) =0.

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WE: Proof I

Let,

j(p) = min{zj(p),1}. (1) Note

¯zj(p) = min{zj(p),1} ≤1.Therefore, 0≤max{¯zj(p),0} ≤1.

Next, let’s define the functionf = (f1(p), ...,fM(p))such that: Forj=1, ..,M, fj(p) = +pj+ max{¯zj(p),0}

M+1+PM

j=1max{¯zj(p),0} =Nj(p) D(p),

Note thatPM

j=1fj(p) =1. Moreover, we have fj(p)≥ Nj(p)

M+1+M.1 ≥

M+1+M.1 ≥

1+2M.

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WE: Proof II

Therefore,

f(p) :P7→P.

SinceD(p)≥1>0, the above function is well defined and continuous over a compact and convex domain. Therefore, there existspsuch that

f(p) =p,i.e.,

fj(p) =pj, for allj =1, ..,M.

That is, for allj=1, ..,M,

Nj(p)

D(p) = pj,i.e.,

pj[M+

M

X

j=1

max{¯zj(p),0}] = + max{¯zj(p),0}. (2)

Next, we let→0. Consider the sequence of price vectors{p}, as→0.

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WE: Proof III

Sequence{p}, as→0, has a convergent subsequence, say{p0}.

Why?

Let{p0}converge top, as0→0.

Clearly,p0. Why?

Suppose,pk =0. Recall, we have

pk0

M0+

M

X

j=1

max{¯zj(p0),0}

=0+ max{¯zk(p0),0}. (3)

as0 →0:

The LHS converges to 0, sincelim0→0pk0 =0 and term [M0+PM

j=1max{¯zj(p0),0}]on LHS is bounded.

However, the RHS takes value 1 infinitely many times. Why?

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WE: Proof IV

This is a contradiction, because the equality in (3) holds for all values of0. Therefore,pj>0 for allj =1, ..,M. That is,

p>>0,i.e.,

lim

→0p=p>>0.

In view of continuity ofz¯(p)overRM++, from (2) we get (by taking limit→0):

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WE: Proof V

For allj=1, ..,M

pj

M

X

j=1

max{¯zj(p),0} = max{z¯j(p),0},i.e.,

zj(p)pj

M

X

j=1

max{¯zj(p),0}

 = zj(p) max{¯zj(p),0},i.e.,

M

X

j=1

zj(p)pj

M

X

j=1

max{¯zj(p),0}

 =

M

X

j=1

zj(p) max{¯zj(p),0},i.e.,

M

X

j=1

zj(p) max{¯zj(p),0}=0. (4)

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WE: Proof VI

Recall,z¯j(p) = min{zj(p),1}.Therefore,

zj(p)>0 ⇒ max{¯zj(p),0}>0;

zj(p)≤0 ⇒ max{¯zj(p),0}=0.

Therefore,

zj(p)>0 ⇒ zj(p) max{¯zj(p),0}>0;

zj(p)≤0 ⇒ zj(p) max{z¯j(p),0}=0.

Suppose, for somej, we havezj(p)>0, then we will have

M

X

j=1

zj(p) max{¯zj(p),0}>0. (5)

But, this is a contradiction in view of (4).

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WE: Proof VII

Therefore:

For anyj=1, ..,M, we have

zj(p)≤0. (6)

Suppose,zk(p)<0 for somek. From (4), we know

p1z1(p) +...+pkzk(p) +...+pMzM(p) =0.

Sincepj>0 for allj =1, ..,M.

zk(p)<0 impliespkzk(p)<0

Therefore, there must existk0, such that

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WE: Proof VIII

zk0(p)>0, (7)

which is a contradiction in view of (6). Therefore,

For all j =1, ..,M, we have:zj(p) = 0,i.e., z(p) = 0.

That is,

pis a WE price vector.

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