Luria-delbruck experiment question

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The discussion centers on the mathematical reasoning behind using the average division time of bacteria divided by ln(2) in exponential growth equations. The authors of the cited study utilize this division to establish a time constant for exponential growth, denoted as tc, which is essential for accurately modeling bacterial population dynamics. The equations presented illustrate that bacterial growth can be expressed in two forms: one using base 2, highlighting the doubling nature of bacterial reproduction, and the other using the natural exponential function with ln(2). This approach allows for a clearer understanding of growth rates and is applicable to various exponential growth or decay scenarios. The clarification provided emphasizes the relationship between logarithmic bases and their implications in biological growth models.
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My question is about the classic study cited below (*) and available as a free pdf download from

http://www.genetics.org/content/28/6/491.full.pdf+html

At page 495 the authors use the "average division time" of bacteria dt, divided by ln(2), as the time unit in the equations

(1) dN_t /dt = N_t , (2) N_t = N_o e^t.

Can anyone tell me why this division by ln(2) was done? N_o is the original number of bacteria present. N_t is the number at time t.

Obviously it has something to do with integration/differentiation, but I am missing the point. Thanks.



*Luria, S. E.; Delbrück, M. (1943). "Mutations of Bacteria from Virus Sensitivity to Virus Resistance". Genetics 28 (6): 491–511.
 
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The doubling time divided by ln(2) gives the appropriate time constant for an exponential growth. Writing the equation for exponential growth in terms of the doubling time (td) gives:

N(t) = No 2^(t/td)

Equivalently, this can be written as:

N(t) = No e^(t ln(2) / td) = No e^(t/tc)

Where tc = td/ln(2). This makes use of the fact that e^ln(2) = 2.
 
Bacteria double exponentially; 2 become 4, 4 become 8, etc. This describes Log in base 2 (22, 23, etc).

The application then is used to describe things that grow or decay exponentially. A more detailed explanation can be found http://logbase2.blogspot.com/2007/12/log-base-2.html"
 
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Ygggdrasil said:
...
N(t) = No 2^(t/td)

Equivalently, this can be written as:

N(t) = No e^(t ln(2) / td) ...

This is crystal clear. I forgot he was starting with 2^t/td as a growth law. Thanks!
 
Popular article referring to the BA.2 variant: Popular article: (many words, little data) https://www.cnn.com/2022/02/17/health/ba-2-covid-severity/index.html Preprint article referring to the BA.2 variant: Preprint article: (At 52 pages, too many words!) https://www.biorxiv.org/content/10.1101/2022.02.14.480335v1.full.pdf [edited 1hr. after posting: Added preprint Abstract] Cheers, Tom

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