Exponential Decay with Matrices

In summary, the problem is to estimate the initial concentration of each of three disease-carrying organisms in seawater using the given model and data points. This can be done by setting up a system of equations using the given function and solving for the unknown coefficients, or by using a curve fitting method with multiple sets of data points.
  • #1
kgal
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Homework Statement


6. Three disease-carrying organisms decay exponentially in seawater according to the following model: P(t) = Ae-1.5t + Be-0.3t + Ce-0.05t

t 0.5, 1, 2, 3 , 4, 5, 6, 7, 9
p(t) 6, 4.4, 3.2, 2.7, 2, 1.9, 1.7, 1.4, 1.1

Estimate the initial concentration of each organism (A,B,C) given the measurements above


Homework Equations


P(t) = Ae-1.5t + Be-0.3t + Ce-0.05t


The Attempt at a Solution


I was thinking of using some kind of matrices but i am having trouble setting the problem up.
 
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  • #2
Looks like a curve fitting problem where you want to do a fit to an arbitrary function with unknown coefficients.

If you just need a crude estimate, pick three samples, plug the time values into the equation and reduce the exponential terms to "constants" multiplying A, B, and C. You'll have three equations in three unknowns. If you're ambitious, do the same for several sets of samples, average the results.

If you have access to any math packages you can probably find subroutines that will fit your function to the data... For example, MathCad has the genfit() function that would do it.
 

FAQ: Exponential Decay with Matrices

What is exponential decay with matrices?

Exponential decay with matrices is a mathematical concept that describes the decrease in a quantity over time when it is modeled using a matrix. It involves repeatedly multiplying a matrix by itself, resulting in a smaller and smaller value as the number of iterations increases.

How is exponential decay with matrices different from traditional exponential decay?

Traditional exponential decay is modeled using a single exponential function, while exponential decay with matrices involves multiple iterations of matrix multiplication. Additionally, traditional exponential decay usually applies to continuous processes, while exponential decay with matrices can be used for discrete processes.

What are some real-life applications of exponential decay with matrices?

Exponential decay with matrices has various applications in fields such as physics, biology, and finance. For example, it can be used to model radioactive decay, population growth, and the depreciation of assets.

How do you calculate the rate of decay using matrices?

The rate of decay can be calculated by finding the eigenvalues of the matrix that represents the decay process. The rate of decay is equal to the negative of the eigenvalue with the largest absolute value.

What are some limitations of using exponential decay with matrices?

One limitation is that it assumes a constant rate of decay, which may not always be the case in real-life situations. Additionally, it may not accurately model decay processes that involve multiple factors or interactions between different entities.

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