Mathematical Modelling question

In summary, the conversation discusses a patient who is given a drug intravenously at a constant rate and orally in a dissolving form. The drug in the stomach dissolves at a rate proportional to its mass, and the drug in the bloodstream is eliminated at a rate proportional to its mass. The conversation aims to find a model for the mass of the drug in the stomach and bloodstream at a given time. The solution involves solving two differential equations, one for the drug in the stomach and one for the drug in the bloodstream, using Laplace transforms.
  • #1
Boogzy
1
0
Though this question is about medicine, the actual question has little to do with medicine and more to do with modelling ..

Homework Statement



A patient is put on an intravenous drip at time t=0, the drip supplies a drug into the patients bloodstream at a constant rate λ. At the same time (t=0) the patient is given M grams of the same drug orally which immediately starts dissolving at a rate directly proportional to the mass of the drug in the stomach (co-efficient of proportionalility α) The drug in the blood stream is eliminated from the blood stream at rate directly proportional to the mass of the drug in the blood (co-efficient of proportionalility β)

Find a model for the mass of the drug in the patients stomach and bloodstream at time t in terms of λ, α, β, M and t.

Homework Equations



Let S = S(t) = Mass of drug in stomach at time t.
Let B = B(t) = Mass of drug in bloodstream at time t.

The Attempt at a Solution



Stomach :

[itex]\frac{dS}{dt} = -α.S [/itex] ... then using separation of variables
[itex]\frac{dS}{α.S}= -dt [/itex] ... integrate both sides to get

[itex]\frac{ln(α.S)}{α} = -t + C [/itex] ... (where C is arbitrary constant)
[itex]ln(α.S) = -αt + C [/itex] ... raising both sides to e, we get

[itex]α.S = e^{-αt+C}[/itex]
[itex]α.S = e^{-αt}.e^{C}[/itex] ... (e[itex]^{C}[/itex] is an arbitrary constant)

[itex]S = \frac{C.e^{-αt}}{α}[/itex]

Using: at t=0, S=M, we can find that C = M.α

[itex]S(t) = \frac{M.a.e^{-αt}}{α}[/itex]
[itex]S(t) = M.e^{-αt}[/itex]

I think its right up to here, but I'm stuggling with the bloodstream part..

Here's what I tried ...

In flow = λ+α.S(t)
Out flow = β.B(t)

[itex]\frac{dB}{dt}= λ + α.S(t) - β.B(t)[/itex]

but this now has 2 dependant variables so I'm not too sure where to go.

Maybe substituting [itex]S(t) = M.e^{-αt}[/itex] to get

[itex]\frac{dB}{dt}= λ + α.M.e^{-αt} - β.B(t)[/itex]

but then I wouldn't know how to solve this differential equation
 
Last edited:
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  • #2
Your S(t) yields how much mass remains in the stomach. Ergo, the rate at which the mass goes into the bloodstream from the stomach is -dS(t)/dt.

You might find that you can solve the resulting differential equation fairly easily using Laplace transforms.
 
Last edited:

Related to Mathematical Modelling question

1. What is Mathematical Modelling?

Mathematical modelling is the process of creating a mathematical representation of a real-world system or phenomenon. It involves using mathematical equations, data, and assumptions to analyze and predict the behavior of the system.

2. Why is Mathematical Modelling important?

Mathematical modelling is important because it allows us to understand complex systems, make predictions, and test hypotheses in a controlled and quantitative manner. It has applications in various fields such as physics, engineering, biology, economics, and more.

3. What are the steps involved in Mathematical Modelling?

The steps involved in Mathematical Modelling typically include identifying the problem, formulating a mathematical representation of the system, collecting and analyzing data, validating the model, and using the model to make predictions or solve the problem.

4. What are the challenges of Mathematical Modelling?

Some of the challenges of Mathematical Modelling include selecting appropriate equations and assumptions, dealing with uncertainty and variability in data, and ensuring the model accurately represents the real-world system. It also requires a deep understanding of mathematics, statistics, and the specific field of study.

5. How is Mathematical Modelling used in real-life applications?

Mathematical Modelling is used in various real-life applications, such as predicting weather patterns, designing structures and systems, optimizing processes, analyzing economic trends, and understanding biological processes. It is also used in decision-making and risk analysis in industries such as finance, healthcare, and transportation.

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