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Bio-mathematics, Statistics and Nano-Technologies: Mosquito Control Strategies

and the Jacobian matrix evaluated at this point reads

J(E0) =

µ

0

β(1pv) N

M

0

0

0

(γ +µ)

β(1pv) N

M

0

0

0

ϑM

N

ν

0

ϑM

N

0

0

(1αv)βpv

N

M

µ

0

0

0

(1αv)βpv

N

M

0

(γ +µ)

.

This matrix has two explicit eigenvalues,µ, that do not affect stability. In addition, the

determinant of the remaining minor factorizes as follows,

det(E0) = (γ +µ)[βϑ(1αvpv)(γ +µ)ν],

thereby indicating that another possible eigenvalue is(γ +µ), a fact that is easily verified

by direct substitution into the cubic characteristic equation. The remaining quadratic, after

factoring out these known eigenvalues, is

λ2 +λ(γ +µ+ν)+ν(γ +µ)βϑ(1αvpv) = 0.

Note that the corresponding discriminant is

∆= (γ +µ+ν)2 4[ν(γ +µ)βϑ(1αvpv)] = (γ +µν)2 +4βϑ(1αvpv)0.

Its roots are therefore real, and one eigenvalue is

λ=1

2[(γ +µ+ν)+

∆]0.

On the other hand, we find the fifth eigenvalue

λ+ =1

2

(γ +µ+ν)2

(γ +µ+ν)+

= 2βϑ(1αvpv)(γ +µ)ν

(γ +µ+ν)+

.

Thus to ensure stability, the following condition must hold:

β < βvTC = ν

γ +µ

(1αvpv)ϑ.

(6.13)

We recall that in the reference case without control measures we have

βTC = (γ +µ)ν

ϑ

(6.14)

When β crosses from below the critical threshold βvTC, a transcritical bifurcation occurs

through which the endemic equilibrium is found. Further, since all eigenvalues are real,

Hopf bifurcations will never occur.