Exponential Decay with Matrices

Click For Summary
SUMMARY

The discussion focuses on estimating the initial concentrations of three disease-carrying organisms in seawater using the exponential decay model P(t) = Ae-1.5t + Be-0.3t + Ce-0.05t. Participants suggest using matrices to set up the problem, highlighting that it resembles a curve fitting challenge. A practical approach involves selecting three time samples to create a system of equations for the unknown coefficients A, B, and C. Additionally, users recommend utilizing MathCad's genfit() function for more accurate fitting of the model to the data.

PREREQUISITES
  • Understanding of exponential decay functions
  • Familiarity with matrix algebra
  • Basic knowledge of curve fitting techniques
  • Experience with MathCad or similar mathematical software
NEXT STEPS
  • Research how to set up systems of equations using matrices for curve fitting
  • Explore the use of MathCad's genfit() function for fitting models to data
  • Learn about other mathematical software options for curve fitting, such as MATLAB or Python's SciPy
  • Study the principles of exponential decay in biological systems
USEFUL FOR

Students in mathematics or biology, researchers analyzing decay rates of organisms, and professionals using mathematical modeling for environmental studies.

kgal
Messages
41
Reaction score
0

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.
 
Physics news on Phys.org
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.
 

Similar threads

Replies
4
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
2
Views
652
Replies
11
Views
3K
  • · Replies 1 ·
Replies
1
Views
9K
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
6K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 1 ·
Replies
1
Views
1K
  • Poll Poll
  • · Replies 3 ·
Replies
3
Views
3K