Could someone help me understand exponential growth and decay?
Here is a sample question: The rate of decay of a radioactive substance is proportional to the amount of substance present. What is the half-life of a radioactive substance if it takes 2 years for one-third of the substance to decay?
I have the most trouble plugging into the formula.
ok.. so the formula is something like \[P = A_{0}e^{-kt}\] is that right..?
Looks correct, yeah
Yeah I guess like if we start out with some amount of sample let's call it Ao it's going to eventually disappear. like I guess if we had the rate of formation of A is equivalent to -k[A]0 dt. \[-k[A_{o}]dt = dA\] \[\int\limits \frac{ dA }{ [A_{o}]} = \int\limits -k~dt\] \[\ln(\frac{ [A] }{ [A]_{o} }) = -kt\] yeah we play around with this and solve for the final concentration of A \[e^{\ln(\frac{ [A] }{ [A]_{o} })} = e^{-kt}\] \[\frac{ [A] }{ [A]_{o} } = e^{-kt}\] we do some simple moving around \[[A] = [A_{o}]e^{-kt}\] so like yeah we end up getting an exponential decay function, where A is the final concentration you end up with
you also could say that \[[A] =\frac{ 1 }{ 3 }[A_{o}]\]
ok... so the explanation is that \[A_{0} = Initial ~amount\] t = time and -k is the constant of decay.. you are also told that the initial amount reduces to 1/3 after 2 years so you can use this to find k, if you let the initial quantity be 1 so \[\frac{1}{3} = 1 \times e^{-k \times 2}\] so to solve for k you need to take the log of both sides... does that make sense..?
So its about being able to manipulate the formula to get what you need
exactly
k is the constant of decay so you could actually find that and then find the half life easy
because you don't need to know the exact concentrations or amount of sample, all you need is the fact that A = 0.5[A_{0}] and you can solve it for t_{1/2}
that's correct.... the 1st step is normally to find the constant of decay or growth
ok so 1 is arbitrary in this question. I see what you did here. It's just comfusing, seems like a really dynamic formula
the normal step is to use logs to find the value of k
\[k=-\frac{ \ln \frac{ 1 }{ 3 } }{ 2 }\]
yeah :)
and now I plug back in and solve for t?
Another thing too. you see why we don't necessarily need the starting concentration \[[\cancel\A_{o}]e^{-kt_{\frac{ 1 }{ 2 }}}= \frac{ 1 }{ 2 }[\cancel\A_{o}]\] \[[A] = \frac{ 1 }{ 2 }[A_{o}]\]
Does the equation on the right hand side of the equal sign represent what is left over after the half life time?
yeah that's how much sample you have left over
gotcha. So how do I solve for the half life now that I have the constant of decay?
Get t by itself :)
oh okay, lets see
yeah like don't plug anything in yet until after you've re-arranged it
ok it looks kind of crazy though
\[\frac{ 1 }{ 2 } = e ^{-kt}\] \[\frac{ \ln(\frac{ 1 }{ 2 }) }{ \frac{ \ln(\frac{ 1 }{ 3 }) }{ 2 } }=t\]
\[e^{-kt} = 0.5\]
\[\ln(e^{-kt}) = \ln(\frac{ 1 }{ 2 })\]
Follow you so far
\[-kt = \ln(\frac{ 1 }{ 2 })\] \[\frac{ \ln(\frac{ 1 }{ 2 }) }{ -k } = t\] now then and only then do you now plug in the value for k after you're done re-arranging stuff \[k = \frac{ -\ln(\frac{ 1 }{ 3 } )}{ 2 }\]
so now I plug in k
Keep typing what you're typing, but I got a little lost there. What happened to our t?
\[\frac{ \ln(\frac{ 1 }{ 2 }) }{ \frac{ (\ln(\frac{ 1 }{ 3 } )}{ 2 }} = \frac{ 2*\ln(\frac{ 1 }{ 2 }) }{ \ln(\frac{ 1 }{ 3} )} = k~ ~1.262\]
sorry that should be t
we plug in our value for k and we get a value for t
How did you simplify the natural logs?
Well I didn't actually. I just found their exact value put it into a calculator.
Gotcha. Thanks for taking the time to explain that to me lol. I'll go back over it a few times and practice a few more problems. It's one of the things covered on my test so I'm trying to really get a grasp on it. Thanks again for all of your help!
Make sure you try to derive it yourself
that should help more
I'm not sure if I'm reading the example problem correctly or not... but it seems like it's talking about the substance decaying `by 1/3` in 2 years, not decaying `to 1/3` in 2 years. Just an observation :d
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