{VERSION 5 0 "IBM INTEL NT" "5.0" } {USTYLETAB {CSTYLE "Maple Input" -1 0 "Courier" 0 1 255 0 0 1 0 1 0 0 1 0 0 0 0 1 }{PSTYLE "Normal" -1 0 1 {CSTYLE "" -1 -1 "Times" 1 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 }0 0 0 -1 -1 -1 0 0 0 0 0 0 -1 0 }{PSTYLE "M yWork" -1 256 1 {CSTYLE "" -1 -1 "Times" 1 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 }0 0 0 -1 -1 -1 0 0 0 0 0 0 -1 0 }} {SECT 0 {EXCHG {PARA 0 "" 0 "" {TEXT -1 0 "" }}{PARA 256 "" 0 "" {TEXT -1 74 "Worksheet on Population Dynamics. Logistic Growth and Cr itical Threshold." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}{PARA 0 "> " 0 " " {MPLTEXT 1 0 14 "with(DEtools):" }}}{EXCHG {PARA 256 "" 0 "" {TEXT -1 1 " " }}{PARA 256 "" 0 "" {TEXT -1 127 "First Model has to do with \+ logistic growth. The saturation level is k = 100000 and the intrinsic \+ growth rate is given by r = 1." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}} {EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 46 "PD1:= diff(P(t),t) = (1 - P (t)/100000)*P(t) ;" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 52 "DEplo t(PD1, P(t), t=0..5, P=0..120000, arrows=thin);" }}}{EXCHG {PARA 256 " " 0 "" {TEXT -1 83 " We can clearly see an \"asymptotically stable\" e quilibrium solution, P(t) = 100000." }}{PARA 0 "" 0 "" {TEXT -1 0 "" } }}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 57 "DEplot(PD1, P(t), t=0..5, \+ P=-60000..120000, arrows=thin);" }}}{EXCHG {PARA 0 "" 0 "" {TEXT -1 0 "" }}{PARA 256 "" 0 "" {TEXT -1 93 "Enlarging the y axis range, we can also see another \"unstable\" equilibrium solution P(t) = 0." }} {PARA 256 "" 0 "" {TEXT -1 65 "Next, we will see several solutions for different initial values." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 116 "DEplot(PD1, P(t), t=0..5, P=0..180 000,\{[0,120000],[0,80000],[0,60000],[0,40000],[0,20000],[0,160000]\}, arrows=thin);" }}}{EXCHG {PARA 0 "" 0 "" {TEXT -1 0 "" }}{PARA 0 "" 0 "" {TEXT -1 59 "This new model corresponds to a critical threshold p roblem." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 46 "PD2:= diff(P(t),t) = -(1 - P(t)/20000)*P(t) ;" }}} {EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 115 "DEplot(PD2, P(t), t=0..5, P =0..100000,\{[0,40000],[0,30000],[0,22000],[0,20000],[0,18000], [0,150 00]\}, arrows=thin);" }}}{EXCHG {PARA 0 "" 0 "" {TEXT -1 0 "" }}{PARA 0 "" 0 "" {TEXT -1 132 "Is clear from this model that there exists an unstable equilibrium solution P(t) = 20000 and an asymptotically stab le one P (t)= 0." }}{PARA 0 "" 0 "" {TEXT -1 180 "Our next model combi nes both properties studied above. It means a logistic growth combined with a critical threshold, which seems to be the population dynamics \+ for certain species." }}{PARA 0 "" 0 "" {TEXT -1 0 "" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 62 "PD3:= diff(P(t),t) = -(1 - P(t)/20000)*( 1-P(t)/100000)*P(t) ;" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 171 "D Eplot(PD3, P(t), t=0..5, P=0..140000,\{[0,60000],[0,80000],[0,120000], [0,140000],[0,40000],[0,30000],[0,22000],[0,20000],[0,18000], [0,15000 ]\}, arrows=thin, stepsize=0.1);" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 0 "" }}}{EXCHG {PARA 0 "> " 0 "" {MPLTEXT 1 0 0 "" }}}} {MARK "16" 0 }{VIEWOPTS 1 1 0 1 1 1803 1 1 1 1 }{PAGENUMBERS 0 1 2 33 1 1 }