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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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