Chemistry Reference
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1
x
1
0.4
0.5
x
2
0.3
0.4
0.5
0.6
L
2
Fig. 2.11
Example 2.4; linear inverse demand and cost functions, the case of semi-symmetric
capacity constrained firms. Border collision bifurcations of x
1
(the output of firm 1)andx
2
(the
output of the other firms) as a function of L
2
(the capacity constraint of the other firms). Parameter
values are N D 21, A D 16, B D 1, a
1
D 0:2, a
2
D 0:3, c
1
D 6, c
2
D 6 and L
1
D 2
D
.1/
, where the equilibrium is unstable (since
N
D
21 > N
b
.0:2;0:3/
D
12:6). The effect of this border collision is the
sud-
den creation of a chaotic attractor
that becomes larger and larger as the capacity
limit L
2
increases. Therefore, if firms in this industry invest in capacity, this can
cause quite dramatic effects in the asymptotic dynamics of the output sequences.
Whereas smaller capacity levels stabilized the industry, a small increase may lead
to complex dynamics. What about non-negativity of prices and profits in this situa-
tion? The profits of firm k are positive as long as x
1
C
.N
1/x
2
<.A
c
k
/=B,
and for the set of parameters used in Fig. 2.11 this means that all the profits are
positive as long as x
1
C
20x
2
<10. Non-negativity of prices is ensured because
Q
max
D
L
1
C
.N
1/L
2 max
D
2
C
20
0:6
D
14 < 16
D
A=B. Of course,
with these values of the parameters we could even consider capacities L
2
up to 0:7,
however this would lead to chaotic oscillations of greater amplitude. Consequently,
a larger proportion of the chaotic attractor in the regions of the strategy space would
be characterized by negative profits. For the one-dimensional model of Example 2.3
.7/
, where it is always stable, to
D
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