Scaling Differential Equations

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Homework Help Overview

The discussion revolves around a population model described by a differential equation involving the population \( N \), net births \( \kappa \), and a parameter \( a \) related to carrying capacity. Participants are exploring the implications of scaling the equation and how this relates to the logistic population model.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the scaling of the differential equation, questioning how the transformation from \( t=\frac{\tau}{\kappa} \) leads to the simplified form \( \frac{du}{d\tau}=u(1-u) \). There is also a focus on the correct formulation of the equation, with some participants noting discrepancies in the original problem statement.

Discussion Status

The conversation includes attempts to clarify the scaling process and the correct form of the differential equation. Some participants have provided detailed reasoning regarding the transformations involved, while others have raised questions about the assumptions and definitions used in the model.

Contextual Notes

There are indications of confusion regarding the correct formulation of the population model, particularly concerning the terms involving \( N \). Participants are also reflecting on the implications of the carrying capacity \( a \) and its role in the dynamics of the population model.

rudders93
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Homework Statement


Not exactly a problem, more an example that has me confused :s

[itex]\frac{dN}{dt}=\kappa N-(\kappa/a^{2})N[/itex]

This describes a population model where N is the population, [itex]\kappa[/itex] is the net births (ie: births less deaths) and it doesn't tell you what a is (this in all the logistic population model). According to http://en.wikipedia.org/wiki/Logistic_function it says its the carrying capacity which is the populations 'maximum' given some constraints.

Then it says it's possible to scale the problem with the following:

[itex]t=\frac{\tau}{\kappa}, N(t)=au(\tau)[/itex] and therefore [itex]\frac{du}{d\tau}=u(1-u)[/itex]

My question is how did they decide upon this way of scaling and how did they get from setting [itex]t=\frac{\tau}{\kappa}[/itex] to [itex]\frac{du}{d\tau}=u(1-u)[/itex]?

Thanks!
 
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First, deciding how to "scale" is often the result of "hindsight"- that is, someone solved the equation and then, based on what the solution looked like, realized the problem would be easier in a different form. Here, the point is to choose "units of measure" so that a and [itex]\kappa[/itex] are 1.

However, what you have here,
[tex]\frac{dN}{dt}= \kappa N- \left(\kappa/a^2\right)N= \kappa N(1- 1/a^2)= \kappa N\left(\frac{a^2- 1}{a^2}\right)[/tex]
does not give the result you cite. You must mean
[tex]\frac{dN}{dt}= \kappa N- \left(\kappa/a\right)N^2= \kappa N(1- N/a)[/tex]
That is, you want the square on the "N", not the "a" in the denominator.

You can then change "N" to "u" and "t" to "[itex]\tau[/itex]" independently.

You change "t" to "[itex]\tau[/itex]" using the "chain rule".With [itex]t= \tau/\kappa[/itex], or [itex]\tau= \kappa t[/itex] we have [itex]d\tau/dt= \kappa[/itex]. So
[tex]\frac{dN}{dt}= \frac{dN}{d\tau}\frac{d\tau}{dt}= \kappa \frac{dN}{d\tau}[/tex].

That makes the equation
[tex]\kappa\frac{dN}{d\tau}= \kappa N\left(1- \frac{N}{a}\right)[/tex]
and the "[itex]\kappa[/itex]"s cancel.

Now, replacing N by [itex]au(\tau)[/itex] makes it
[tex]a\frac{du}{d\tau}= au(\tau)\left(1- \frac{au(\tau)}{a}\right)[/tex]
and the two "a"s in the fraction on the right cancel, as well as the "a" on either side of the equation. That leaves
[tex]\frac{du}{d\tau}= u(\tau)(1- u(\tau))[/tex]

By the way, "a" is the "carrying capacity". The population can't be negative, of course, and if N>a, 1- N/a will be negative causing a decrease in population, while for any N< a, there is an increase in population- the population will eventually stabilize at the "equilibrium value", a. (Strictly speaking, there are two values of N that make dN/dt 0- N= 0 and N= a- those are the two "equilibrium values". Obviously, if the population is 0, it won't change. "a" is the only positive population that has that property.)
 
Last edited by a moderator:
Hi,

Thanks for the super detailed response! Yep, I incorrectly copied the question :(

I think I understand now
 
rudders93 said:

Homework Statement


Not exactly a problem, more an example that has me confused :s

[itex]\frac{dN}{dt}=\kappa N-(\kappa/a^{2})N[/itex]

This describes a population model where N is the population, [itex]\kappa[/itex] is the net births (ie: births less deaths) and it doesn't tell you what a is (this in all the logistic population model). According to http://en.wikipedia.org/wiki/Logistic_function it says its the carrying capacity which is the populations 'maximum' given some constraints.

Then it says it's possible to scale the problem with the following:

[itex]t=\frac{\tau}{\kappa}, N(t)=au(\tau)[/itex] and therefore [itex]\frac{du}{d\tau}=u(1-u)[/itex]

My question is how did they decide upon this way of scaling and how did they get from setting [itex]t=\frac{\tau}{\kappa}[/itex] to [itex]\frac{du}{d\tau}=u(1-u)[/itex]?

Thanks!

If this is supposed to be (related to) the logistic equation, you have it all wrong: you should have k*N - (k/a^2)*N^2 [N^2, not N!]. If you have N in the second term your right-hand side is just r*N, where r = k - k/a^2.

RGV
 
Last edited:

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