Mathematical Biology and Modelling

In summary: K_{1}}$$\overline{r_{ab}}=r_{ab}$$\overline{d}=d$$\overline{\lambda_{2}}=\lambda_{2}$$\overline{r_{ba}}=r_{ba}$Based on these relationships, we can also determine the non-dimensional parameter $\overline{K_{1}}$, which is the non-dimensional version of K1. We have:$\overline{K_{1}}=\frac{K_{1}}{K_{2}}$Finally, the non-dimensional equation for b(t) is:\begin{equ
  • #1
ra_forever8
129
0
Consider the two species competition model given by
$$ \frac{da}{dt }= \frac {λ_1 a} {a+K_1} - r_{ab}\cdot ab - da, \ \ \ \ \ \ \ \ \ \ (1)$$
$$\frac{db}{dt }= λ_2 b (1-\frac{b}{K_2}) - r_{ba}\cdot ab , \ \ \ \ \ \ \ t>0,\ \ \ \ \ \ \ \ (2)$$

for two interacting species denoted a=a(t) and b=b(t), with initial conditions a=a0 and b=b0 at t=0. Here λ1, λ2, K1,K2, $r_{ab}$,$r_{ba}$ and d are all positive parameters.,
NOW it is decided that the model is to non-dimensionalised such that
$a= Xu$, $b=K_2 v$, and $t= \frac{\tau}{Y}$,
where X and Y are parameter scalings to be determined. Here u,v and $\tau$ are all non-dimensional variables.
The application of this non-dimensionalisation leads to the equation for a(t) becoming \begin{equation} \frac {du}{d\tau}=\frac{\overline{\lambda}_{1} u}{u+1} -\overline{r}_{ab}uv -\overline{d}u
\end{equation}
where $\overline{\lambda}_{1}= \frac {\lambda_{1}}{\lambda_{2} K_{1}}$
Determine X and Y, all of the remaining non-dimensional parameters and their relationship to the dimensional parameters and the non-dimensional equation describing b(t)

=>i have started by finding b(t), but sure whether is right or wrong,\begin{equation} \frac {dv}{d\tau}={\overline{\lambda}_{2}}(1-v) -\overline{r}_{ba}uv
\end{equation}
where I think $ \overline{\lambda_{2}}=\lambda_{2}K_{2}$
I need to determine X and Y and also all the remaining non-dimensional parameters like $\overline{r}_{ba},\overline{\lambda}_{2}, \overline{\lambda}_{1},\overline{r}_{ab},\overline{d}$ and their relationship to the dimensional parameters, by using the two equations of a(t) and b(t).
please help me, really confuse . thanks alot
 
Last edited:
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  • #2


Hi there,

First of all, let's start by looking at the non-dimensionalization process. The goal of non-dimensionalization is to simplify the equations and eliminate any unnecessary parameters, making it easier to analyze and interpret the model.

In this case, we have three variables (a, b, and t) and seven parameters (λ1, λ2, K1, K2, $r_{ab}$, $r_{ba}$, and d). To non-dimensionalize the model, we need to find three scaling parameters: X, Y, and Z.

The first step is to choose the scaling parameters for each variable. We have already been given the scaling for a and b, so we just need to determine the scaling for t. Let's choose t=Yτ, where Y is a scaling parameter that we need to determine and τ is a non-dimensional variable.

Next, we substitute these scalings into the original equations and simplify to get the non-dimensionalized equations:

\begin{equation} \frac{X}{Y}\frac{du}{d\tau}=\frac{\lambda_{1}Xu}{Xu+K_{1}Y}-r_{ab}XK_{2}uv-dXu
\end{equation}
\begin{equation} \frac{K_{2}}{Y}\frac{dv}{d\tau}=\lambda_{2}K_{2}v(1-\frac{K_{2}v}{K_{2}})-r_{ba}XK_{2}uv
\end{equation}

Now, we can see that the scaling parameters for u and v are X/Y and K2/Y, respectively. To simplify the equations further, we can choose X=YK2, which will eliminate the Y parameter from the equations. This means that X and Y are related by X=YK2, or Y=X/K2.

Substituting this into the equations, we get:

\begin{equation} \frac{du}{d\tau}=\frac{\lambda_{1}u}{u+K_{1}}-r_{ab}uv-du
\end{equation}
\begin{equation} \frac{dv}{d\tau}=\lambda_{2}(1-v)-r_{ba}uv
\end{equation}

Now, let's look at the non-dimensional parameters. We have the
 

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What is mathematical biology?

Mathematical biology is a field that combines mathematical modeling and analysis with biological data and concepts to study and understand biological systems and processes. It uses mathematical and computational tools to describe, predict, and analyze complex biological phenomena.

What is the goal of mathematical modeling in biology?

The goal of mathematical modeling in biology is to create simplified representations of biological systems and processes in order to gain insights, make predictions, and test hypotheses. These models can help us understand the underlying mechanisms of biological phenomena and make informed decisions in fields such as medicine, ecology, and genetics.

What are some examples of mathematical models in biology?

There are various types of mathematical models used in biology, including deterministic models (such as differential equations and difference equations), stochastic models (such as Markov chains and agent-based models), and spatial models (such as cellular automata and reaction-diffusion models). These models are used to study a wide range of biological systems, from population dynamics and epidemiology to protein interactions and gene regulation.

What are the benefits of using mathematical models in biology?

Mathematical models allow us to study complex biological systems and processes in a controlled and systematic manner. They can help us make predictions, test hypotheses, and gain a deeper understanding of biological phenomena. Additionally, mathematical modeling can save time and resources by reducing the need for costly and time-consuming experiments.

What are some challenges of using mathematical models in biology?

Despite their many benefits, mathematical models in biology also face some challenges. One major challenge is the complexity and variability of biological systems, which can make it difficult to accurately represent all aspects of a system in a model. Additionally, biological data, such as experimental measurements, can be noisy and incomplete, making it challenging to validate and refine models. Developing and interpreting models also requires specialized mathematical and biological knowledge, which can be a barrier for interdisciplinary collaboration.

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