Worlds population in 1960 was approximately 3 billion; in 2000 it was approximately 6 billion. Model this using a differential equation of your choice. You should include your reasons for your choice of models, the solution to the equation, and a graph spanning the given data and some time into the future. Please help me get this finished!!! Medal when done! :)
i am sorry i could have solved but its a lengthy process , all i want to say is ..total stochastic calculus failed in developing and framing expansion of population so i am sure this equation wont give solution either
i think more than two data point would be helpful
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@UnkleRhaukus Two points is enough it you assume it is some exponential function.
which ones can we assume?
\[ P(t) = P_0e^{kt} \]\[ P(1960) = 3 = P_0e^{k(1960)}\\ P(2000) = 6 = P_0e^{k(2000)} \]Two equations, two variables \(P_0\) and \(k\).
You could also think of it as, the double life of the function is 40 years, and suppose the function starts at year 1960. In that case: \[ P(t) = 3\cdot 2^{t/40} \]
but these models are so inaccurate
What do you think the the carrying capacity as a function of time?
Okay how can I make them accurate then?
Because Im lost...One person says this and the other says something else...
Accuracy is not the point here. When so little data is given, the only thing you can reasonably do is assume there is exponential growth. The data support @wio's formula: \(P(t)=3 \cdot 2^{\frac{1}{40}t}=3 \cdot e^{\ln2^{\frac{1}{40}t}}=3e^{\frac{\ln 2}{40} \cdot t} \approx 3e^{0.01733t}\). If we take the derivative of P, we get: \(P'(t)=0.01733P(t)\). The differential equation that fits the situation is therefore: \(\dfrac{dx}{dt}=0.01733x\). Solving can be done with separation of variables: \(\dfrac{dx}{x}=0.01733dt\) \(\int \dfrac{dx}{x}=\int 0.01733dt +C\); C is a real constant. \(ln|x|=0.01733t+C\) \(|x|=e^{0.01733t+C}=e^{C}e^{0.01733t}=C_{1}e^{0.01733t};~C_{1}\) is a positive constant. Because x is the population, it is always positive, so we don't need the absolute value: \(x=C_{1}e^{0.01733t}\). To find the constant, we set x(0)=3, so the constant is 3. Solution: \(x(t)=3e^{0.01733t}\), of course the same as the population function P. BTW: if we forget about the practical situation this is about, the general solution of the differential equation is \(x(t)=Ce^{0.01733t}\), where C can be any real constant. Here is also a graph with prediction for 2020:
Okay thanks so much! So may I ask...What would be different if you would have made the choice of a different model?
Please help me with this integration!
If you wanted to change the model, you'd probably want the change of population (derivative of population) to tend toward \(0\) as the the population reached some carrying capacity.
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