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or
C
a
S
q
C
1
.lC1/
.N
1/ar
T
p
C
1
.mC1/
D
0;
which can be rewritten as the polynomial equation
S
q
C
1
lC1
T
p
C
1
mC1
C
a
T
p
C
1
mC1
.N
1/ar
S
q
C
1
lC1
D
0:
(2.57)
Assume first that the firm's own information lag S is much smaller than T ,the
information lag about rival firms. Making the simplest assumption that S
D
0,
(2.57) becomes
.
C
a/
T
p
C
1
mC1
.N
1/ar
D
0:
(2.58)
Consider first the special case of T
D
0, when there is no information lag about
rival firms. Then (2.58) reduces to the linear equation
.
C
a/
.N
1/ar
D
0;
with solution
D
.N
1/ar
a<0;
so the equilibrium is locally asymptotically stable. This case was discussed under
much more general conditions in Theorem 2.2 where the same conclusion was
reached.
Consider next the case when T>0and m
D
0. Then (2.58) becomes the
quadratic,
2
T
C
.1
C
aT/
C
a.1
.N
1/r/
D
0:
Since all coefficients are positive, both roots are negative or have negative real
parts (see Appendix F), so again the equilibrium is locally asymptotically stable.
In the case of m
D
1, (2.58) reduces to the cubic equation
3
T
2
C
2
.aT
2
C
2T/
C
.1
C
2aT/
C
a.1
.N
1/r/
D
0:
(2.59)
All coefficients are positive and the Routh-Hurwitz criterion (see Szidarovszky and
Bahill (1998)) implies that all roots have negative real parts if and only if
.aT
2
C
2T/.1
C
2aT/ >T
2
a.1
.N
1/r/:
(2.60)
This inequality can be rewritten as a quadratic inequality in the variable aT in the
form
2.aT/
2
C
aT.4
C
r.N
1//
C
2>0:
(2.61)
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