In one model of the changing population P(t) of a community, it is assumed that dP dt = dB dt − dD dt , where dB/dt and dD/dt are the birth and death rates, respectively. (a) Solve for P(t) if dB/dt = k1P and dD/dt = k2P. (Assume P(0) = P0.)

Respuesta :

Answer:

[tex]P(t) = P_{0}exp^{(k_{1}-k_{2})t\\[/tex]

Step-by-step explanation:

[tex]\frac{dP}{dt}= \frac{dB}{dt}-\frac{dD}{dt}\\where \frac{dB}{dt}=k_{1}P ; and \frac{dD}{dt}=k_{2}P\\ Therefore:\\\frac{dP}{dt}=k_{1}P-k_{2}P\\\frac{dP}{dt}=(k_{1}-k_{2})P\\[/tex]

This leads to:

[tex]\frac{dP}{P}=(k_{1}-k_{2})dt\\[/tex]

Taking the integral of both sides

[tex]\int {\frac{dP}{P}=\int(k_{1}-k_{2})dt} \\ln P = (k_{1}-k_{2})t+C, C=constant of integration[/tex]......(i)

[tex]P(t) = Cexp^{(k_{1}-k_{2})t\\[/tex]

When t=0, P(t)=[tex]P_{0}[/tex]

From (i), [tex]P_{0} = C\\[/tex]

Therefore: [tex]P(t) = P_{0}exp^{(k_{1}-k_{2})t\\[/tex]

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