Help with Logistic growth problem

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Homework Help Overview

The original poster attempts to solve a logistic growth problem involving a set of values for time, population, and the change in population over time. They seek to predict the population at a specific time, T=10, but express uncertainty about how to begin the problem.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Some participants suggest quoting relevant equations, including the ordinary differential equation (ODE) for logistic growth and its general solution. Others propose analyzing the data visually through graphing. There are mentions of using curve fitting techniques to derive coefficients from the provided data.

Discussion Status

Participants are exploring different methods to approach the problem, including referencing equations and suggesting graphical analysis. There is no explicit consensus on a single method, but various productive directions are being discussed.

Contextual Notes

The original poster notes missing class time and the inability to attend office hours, which may contribute to their uncertainty in tackling the problem.

amazingAZN
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Hi all, I've got this logistic growth problem that I'm unsure of on how to start. I've read though the textbook but it's just not clicking for me; I missed a day of class and don't have a chance to go to office hours, so any help would be much appreciated.

I've been given a set of values: time, population, and change in population.

The values are as follows, with each value correlation to each time value of course:

T=0.0, P=2.0, dP/dt=0.11
T=37.71, P=14.0, dP/dt=0.62
T=45.05, P=19.0, dP/dt=0.74
T=57.45, P=29.0, dP/dt=0.84

I've been asked to predict population, P at T=10.

A point in the right direction would be great, thanks.
 
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Probably you can do this looking at and playing with the numbers but I think it is not a good idea to do it without drawing three graphs.
 
The differential equation, you will find, has dP/dt as a quadratic function of P. Since you have data values for P and dP/dt, you can use standard curve fitting (least squares) to find the coefficients (http://www.personal.psu.edu/jhm/f90/lectures/lsq2.html). You can then plug those into the solution of the differential equation to find P as a function of t.
 

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