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A MATHEMATICAL MODEL FOR A SELF-LIMITING POPULATION Glenn Ledder University of Nebraska.

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Presentation on theme: "A MATHEMATICAL MODEL FOR A SELF-LIMITING POPULATION Glenn Ledder University of Nebraska."— Presentation transcript:

1 A MATHEMATICAL MODEL FOR A SELF-LIMITING POPULATION Glenn Ledder gledder@math.unl.edu University of Nebraska

2 THE CONCEPTUAL MODEL 1.A container holds p ( t ) microorganisms and a quantity w ( t ) of waste, with p (0) = p 0 « 1 and w (0) = 0. 2.Waste production is proportional to population. 3.In absence of waste, population growth is logistic. 4.Relative death rate increases linearly with waste amount.

3 THE MATHEMATICAL MODEL 2.Waste production is proportional to population. 3. In absence of waste, population growth is logistic. 4. Relative death rate increases linearly with waste amount. dw dt —– = kp w(0) = 0 p(0) = p 0 —– = rp ( 1– — ) – bwp dp dt pMpM

4 NONDIMENSIONALIZATION dw dt —– = kp w(0) = 0 p(0) = p 0 —– = rp ( 1– — ) – bwp dp dt pMpM Let p = MP w = — W τ = rt rbrb Then W′ = KP W(0) = 0 P′ = P(1–P–W) P(0) = P 0

5 NULLCLINES W is fixed when P = 0 and increasing when P > 0. P is fixed when P = 0 and P + W = 1. 1 1 P W

6 The DIFFERENTIAL EQUATION for the TRAJECTORIES Trajectories satisfy the equation —– = — = ——– dP dW 1-P-W K P′ W′ W′ = KPP′ = P(1–P–W) : We can combine the differential equations to obtain the differential equation for the trajectories in the phase plane. Givenand

7 CHANGE OF VARIABLES The trajectory equation, —– = ——–, is linear but not autonomous. dP dW 1-P-W K Let Z = P + W. Then K –— = 1 + K – Z. dZ dW This equation is autonomous as well as linear.

8 PHASE LINE Z = P + W.Z = P + W. K –— = 1 + K – Z dZ dW 1 + K1 + K Z 1 + K is a stable equilibrium solution; however, it is not achieved because W remains finite. P + W 0

9 TRAJECTORIES We can solve the trajectory equation to get P = 1 + K – W + (P0 – 1 – K) e-W/KP = 1 + K – W + (P0 – 1 – K) e-W/K K=0.5 K=1.0

10 MAXIMUM POPULATION P = 1 + K – W + (P0 – 1 – K) e-W/KP = 1 + K – W + (P0 – 1 – K) e-W/K The maximum population occurs when P + W = 1. P = 1 – W = 1 – K ln ——— 1+K-P 0 K

11 LIMITING BEHAVIOR With P 0 = 0 and P = 0, we have W = ( 1 + K )( 1 - e -W/K ). ( K, W ∞ ) = ( ——, —— ), where u = - ln ( 1 - s ) su - ssu - s s uu - ss uu - s

12 EXTINCTION TIME Let T be the time (in units of 1/ r ) at which P = 0. From W′ = KP, we have W∞/KW∞/K 0 T =T = du 1 + K – Ku + (P 0 -1-K) e -u —————————— P 0 =0.01


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