Module 2.2 Unconstrained Growth and Decay

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Presentation transcript:

Module 2.2 Unconstrained Growth and Decay Angela B. Shiflet and George W. Shiflet Wofford College © 2014 by Princeton University Press

Rate of Change  

Example of unconstrained growth Population growth without constraints Rate of change of population is directly proportional to number of individuals in the population (P) Differential equation dP/dt = rP, where r is growth rate

Finite difference equation (new population) = (old population) + (change in population) population(t) = population(t - ∆t) + ∆population = population(t - ∆t) + (growth)*∆t where growth = growth rate * current population

Finite difference equation A finite difference equation is of the following form: (new value) = (old value) + (change in value) Such an equation is a discrete approximation to a differential equation

System's modeling tool Helps to model Performs simulation What happens at one time step influences what happens at next

Stock/Box Variable/Reservoir Anything that accumulates, buffer, resource Examples Population Radioactivity Phosphate Body fat Labor

Flow Represents activities Examples Birthing, dying with population Intaking & expending calories with body fat

Converter/Variable/Formula Contains equations that generate output for each time period Converts inputs into outputs Takes in information & transforms for use by another variable Examples Growth rate with population & growth Calories in a food

Connector/Arrow/Arc Link Transmits information & inputs Regulates flows

With system dynamics tool Enter equations Run simulations Produce graphs Produce tables

Algorithm for simulation of exponential growth initialize simulationLength, population, growthRate. ∆t numIterations  simulationLength / ∆t for t going from 0 to simulationLength in steps of size ∆t do the following: growth  growthRate * population population  population + growth * ∆t t  i * ∆t display t, growth, and population

Analytic Solution P = P0ert (use separation of variables and then integrate) Can determine with a computer algebra system We can refine the model by having birth rate and death rate, so growth rate = birth rate – death rate

Exponential Decay Rate of change of mass of radioactive substance proportional to mass of substance Constant of proportionality negative Radioactive carbon-14: -0.000120968 dQ/dt = ? dQ/dt = -0.000120968Q Q = Q0 e-0.000120968t Carbon dating The half-life is the period of time that it takes for a radioactive substance to decay to half of its original amount Q0, i.e. 0.5 Q0.

Quick Review Questions