Paper 2, Section II, C

Mathematical Biology
Part II, 2012

A population of blowflies is modelled by the equation

dxdt=R(x(tT))kx(t)\frac{d x}{d t}=R(x(t-T))-k x(t)

where kk is a constant death rate and RR is a function of one variable such that R(z)>0R(z)>0 for z>0z>0, with R(z)βzR(z) \sim \beta z as z0z \rightarrow 0 and R(z)0R(z) \rightarrow 0 as zz \rightarrow \infty. The constants T,kT, k and β\beta are all positive, with β>k\beta>k. Give a brief biological motivation for the term R(x(tT))R(x(t-T)), in which you explain both the form of the function RR and the appearance of a delay time TT.

A suitable model for R(z)R(z) is βzexp(z/d)\beta z \exp (-z / d), where dd is a positive constant. Show that in this case there is a single steady state of the system with non-zero population, i.e. with x(t)=xs>0x(t)=x_{s}>0, with xsx_{s} constant.

Now consider the stability of this steady state. Show that if x(t)=xs+y(t)x(t)=x_{s}+y(t), with y(t)y(t) small, then y(t)y(t) satisfies a delay differential equation of the form

dydt=ky(t)+By(tT),\frac{d y}{d t}=-k y(t)+B y(t-T),

where BB is a constant to be determined. Show that y(t)=esty(t)=e^{s t} is a solution of (2) if s=k+BesTs=-k+B e^{-s T}. If s=σ+iωs=\sigma+i \omega, where σ\sigma and ω\omega are both real, write down two equations relating σ\sigma and ω\omega.

Deduce that the steady state is stable if B<k|B|<k. Show that, for this particular model for R,B>kR,|B|>k is possible only if B<0B<0.

By considering BB decreasing from small negative values, show that an instability will appear when B>[k2+g(kT)2T2]1/2|B|>\left[k^{2}+\frac{g(k T)^{2}}{T^{2}}\right]^{1 / 2}, where π/2<g(kT)<π\pi / 2<g(k T)<\pi.

Deduce that the steady state xsx_{s} of (1) is unstable if

β>kexp[(1+π2k2T2)1/2+1]\beta>k \exp \left[\left(1+\frac{\pi^{2}}{k^{2} T^{2}}\right)^{1 / 2}+1\right]