Convergence of Ratios in Genetic System of Iterated Equations

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In summary, a genetics question involving the recurrence relations for variables ##a_n, b_n, c_n, d_n, e_n## is being discussed. The question asks whether the ratio ##e_n/(a_n+b_n+c_n+d_n+e_n)## converges as ##n## grows larger. Mathematica calculates this ratio to be approximately ##0.109## for ##n=20##, but it is likely best to use a computer to plot the ratio versus ##n## to determine its behavior. Algebraic manipulation may be difficult without a better understanding of the genetic algebra involved.
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daniel6874
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The following came up in the context of a genetics question.
\begin{align*}
a_{n+1} &= 2a_{n}d_{n} + b_{n}d_{n}\\
b_{n+1} &= 2a_{n}e_{n} + b_{n}d_{n} + b_{n}e_{n} + 2c_{n}d_{n} + c_{n}e_{n}\\
c_{n+1} &= b_{n}e_{n} + c_{n}e_{n}\\
d_{n+1} &= 2a_{n}d_{n} + 2a_{n}e_{n} + b_{n}d_{n} + b_{n}e_{n} + c_{n}e_{n}\\
e_{n+1} &= b_{n}d_{n} + b_{n}e_{n} + 2c_{n}d_{n} + c_{n}e_{n}
\end{align*}
If the initial values for the variables is ##a_0=b_0=d_0=e_0=1, c_0=0## does the ratio
##e_{n}/(a_{n}+b_{n}+c_{n}+d_{n}+e_{n})## converge as ##n## gets large? Can the ratio be calculated without a computer?
Mathematica gives that ##e_{n}/(a_{n}+b_{n}+c_{n}+d_{n}+e_{n})## is about ##0.109## for ##n=20##, FWIW.
 
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I think the computer is the preferred choice here. If you plot the ratio versus ##n## you should see whether there is a monotone behavior or not. Handling it with algebra is a mess, except you have a better description for the genetic algebra this might define.
 

FAQ: Convergence of Ratios in Genetic System of Iterated Equations

What is a system of iterated equations?

A system of iterated equations is a set of mathematical equations that are repeatedly applied to a starting value in order to generate a sequence of values. The new values are then used as the starting value for the next iteration, and the process continues until a desired outcome is reached.

How is a system of iterated equations used in scientific research?

System of iterated equations can be used in various fields of scientific research, such as physics, biology, economics, and computer science. They are often used to model complex systems and predict how they will evolve over time. They can also be used to study the behavior of chaotic systems and find patterns or trends in data.

Can a system of iterated equations produce different outcomes?

Yes, a system of iterated equations can produce different outcomes depending on the starting values and the equations used. It is important to carefully choose the equations and starting values in order to accurately model the system and obtain meaningful results.

Are there any limitations to using a system of iterated equations?

One limitation of using a system of iterated equations is that it assumes the system being modeled is deterministic, meaning that it follows a set of predictable rules. This may not always be the case in real-world systems, as there can be random or unpredictable factors that affect the outcome.

How can I solve a system of iterated equations?

There are various methods for solving a system of iterated equations, including analytical methods and numerical methods. Analytical methods involve using algebraic techniques to find exact solutions, while numerical methods use computational algorithms to approximate solutions. The best method to use will depend on the complexity of the system and the desired level of accuracy.

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