half-life with forward fd
Forward finite difference formula to obtain consistent half-life
Half-life refers to time required for a given quantity to decrease from its initial value to half 1. This concept plays important role in understanding the decay or radioactive substances in nuclear physics and it is also used by scientists to measure age of ancient artifacts through carbon dating 2. In a first order reaction the half-life unrestrained by the concentration of the reactant, but the half-lives of reactions with other orders hang on the concentrations of the reactants at the same time 3. While solving the equation in discrete form, e.g. using Finite Difference (FD) method 4, chosen time step will influence the quantity, which does not match the half-time. The indenpendence of half-life to time step is given here.
A differential equation of decaying quantity is
where stands for decay constant and for time. Using following Forward FD
Eqn (2) can be written as
that would be arranged further into
which is the iterable formula to find the quantity at any time . Then relation between quantity at time and is given by
which can be generalized as
Suppose that and , the half-life, then
Further rearrangement of the terms will give
The half-life and decay constant relation
will turn into
Eqn (4) is showing the dependence of half-time to time step .
Jyoti Bashyal, “Half-life Formula: Derivation, Application, Examples”, Science Info, 13 Jun 2023, url https://scienceinfo.com/half-life-formula-derivation/ [20240830]. ↩︎
Yara Simón, “Half-Life Formula: Components and Applications”, HowStuffWorks, 14 Feb 2024, url https://science.howstuffworks.com/half-life-formula.htm [20240830]. ↩︎
Turito Team USA, “Half-Life : Definition, Formula, Derivation (Zero & First-Order)”, Turito, 5 Sep 2022, url https://www.turito.com/blog/chemistry/half-life [20240830]. ↩︎
Alice C. Yew, “Numerical differentiation: finite differences”, Applied Mathematics, Brown University, 22 Apr 2011, url https://www.dam.brown.edu/people/alcyew/handouts/numdiff.pdf [20240830]. ↩︎