System of Differential Equations

In summary, a system of differential equations is a set of equations that describe how a set of variables change over time. It can be solved using various techniques such as separation of variables and numerical methods. It is an important tool in science for modeling natural phenomena and has applications in many fields. Multiple solutions are possible, but careful analysis of initial and boundary conditions is necessary. However, it does have limitations, such as assuming continuity and differentiability and requiring precise initial conditions.
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Hello,

I'll take a research course very soon, and I would like to analyse the behavior of some system of differential equations (with sometime up to 6 differential equations). To do so, I would need a good book.

I'm not interested in long mathematical proofs, I just want to have a good book to use as a reference to analyse the behavior of such system rigorously.

BTW, I finished my 3 introductionary courses in Calculus, + multivariable calculus and a course on differential equations... and the research is in biology.

Thx
 
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  • #2
There's so many books on dynamical system, it's hard to choose :)
 
  • #3


Hi there,

Congratulations on taking a research course and wanting to analyze the behavior of systems of differential equations! It sounds like you have a strong background in calculus and differential equations, which will definitely come in handy for this type of analysis.

In terms of finding a good book for reference, I would recommend looking into "Differential Equations, Dynamical Systems, and Linear Algebra" by Morris W. Hirsch, Stephen Smale, and Robert L. Devaney. This book covers the basics of differential equations and dynamical systems, as well as more advanced topics such as bifurcation theory and chaos. It also includes many real-world applications and examples, which may be particularly useful for your research in biology.

Another book that may be helpful is "Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering" by Steven Strogatz. This book also covers the basics of differential equations and dynamical systems, but focuses more on the applications to various fields, including biology. It also includes exercises and examples to help with understanding and applying the concepts.

I hope this helps in your search for a good reference book. Best of luck with your research!
 

1. What is a system of differential equations?

A system of differential equations is a set of equations that describe how a set of variables change over time. Each equation represents the rate of change of one variable, and together they can be used to model a wide range of dynamic systems such as population growth, chemical reactions, and planetary motion.

2. How is a system of differential equations solved?

There are various methods for solving a system of differential equations, depending on the complexity of the equations and the desired level of accuracy. Some common techniques include separation of variables, substitution, and using numerical methods such as Euler's method or Runge-Kutta methods.

3. What is the importance of a system of differential equations in science?

A system of differential equations is a powerful tool in science as it allows us to mathematically model and understand complex natural phenomena. It has applications in fields such as physics, biology, engineering, and economics, and has played a crucial role in the development of many scientific theories and advancements.

4. Can a system of differential equations have multiple solutions?

Yes, a system of differential equations can have multiple solutions. In fact, many real-world problems have multiple solutions that can represent different behaviors or scenarios. It is important to carefully analyze the initial conditions and boundary conditions to determine which solution is the most relevant for the given situation.

5. What are some limitations of using a system of differential equations?

While a system of differential equations is a useful tool for modeling dynamic systems, it does have some limitations. It assumes that the system is continuous and differentiable, which may not always be the case in real-world scenarios. It also requires precise initial conditions and can become increasingly complex and difficult to solve as the number of variables and equations increases.

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