Solving the Tumor Growth Problem: Find B_0, a & More

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Homework Help Overview

The discussion revolves around a differential equation modeling tumor growth, where the birth rate of tumor cells decreases exponentially over time. Participants are tasked with finding constants related to the growth model, specifically B_0 and a, based on given initial conditions and population growth rates.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss methods to derive B_0 from the initial conditions and the rate of change of the tumor population. There are inquiries about solving the differential equation to express P(t) at a specific time and how to relate it to the initial population. Some participants express confusion regarding the constants involved and the implications of using advanced functions like the Lambert W function.

Discussion Status

Some participants have made progress in solving the equations, while others are still grappling with the relationships between the variables and the mathematical methods required. There is a mix of successful attempts and ongoing questions about the approach to the problem.

Contextual Notes

Participants are working under the constraints of a homework assignment, which may limit the methods they can use or the complexity of the solutions they can pursue. There is also mention of using software tools to assist in solving the equations, indicating a reliance on technology for handling complex calculations.

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Problem: A tumor may be regarded as a population of multiplying cells. It is found empirically that the "birth rate" of cells in a tumor decreases exponentially with time, so that birth rate is given by B(t)=(B_0)*e^(-a*t) where B_0 and a are constants. Consequently, the governing equation for the tumor population P(t) at any time t is
dP/dt=(B_o)e^(-at)P

Solve this differential equation exactly. Suppose the initially at t=0, there are 10^6 tumor cells, and that P(t) is then increase at a rate of 3*10^5 cells per month. After 6 months, the tumor has double in population. Find a, and find the behavior of the tumor population as t goes to infinity

I know from the given information, I can find B_0 by using this equation
3*10^5=(B_0)*e^(-a*0)*10^6
given rate of change is 3*10^5; t=0, and p=10^6
B_0=3/10

I am having trouble finding my constant C, a...
 
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missteresadee said:
Problem: A tumor may be regarded as a population of multiplying cells. It is found empirically that the "birth rate" of cells in a tumor decreases exponentially with time, so that birth rate is given by B(t)=(B_0)*e^(-a*t) where B_0 and a are constants. Consequently, the governing equation for the tumor population P(t) at any time t is
dP/dt=(B_o)e^(-at)P

Solve this differential equation exactly. Suppose the initially at t=0, there are 10^6 tumor cells, and that P(t) is then increase at a rate of 3*10^5 cells per month. After 6 months, the tumor has double in population. Find a, and find the behavior of the tumor population as t goes to infinity

I know from the given information, I can find B_0 by using this equation
3*10^5=(B_0)*e^(-a*0)*10^6
given rate of change is 3*10^5; t=0, and p=10^6
B_0=3/10

I am having trouble finding my constant C, a...

What do you get if you solve the differential equation to work out P(6 months) in terms of a, and set that equal to 2P_0?
 
Yup! I figured it out, I had two system of equations with two unknowns which I can solve =) I was trying to use maple program to solve this equation, and finally figured out how to display the answers in approximation instead of weird exact numbers. THANKS!
 
I'm assuming I'm in your class (lol).

Can you explain how you were able to solve this? I tried solving for B0, got 3/10. Tried solving for P, got e^(-Be^(-at))/a

Plugging B and 2P into the equation for P gives a lambertW function which I'm assuming is far beyond the scope of DE.
 

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