How do Scientists Translate Physical Systems into Mathematical Models?

In summary, scientists interpret physical systems into mathematical systems by using mathematical models to describe and understand the real world. While some mathematical concepts may have been developed purely from a desire to understand the world, many have been inspired by observations and experiments. Ultimately, experiments serve as the verification of the validity of mathematical modeling. Examples of this can be seen in the work of scientists like Newton, Kepler, and Euclid.
  • #1
EngWiPy
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Hello,

In engineering, for instance, we set up the problem mathematically, and solve it mathematically. The question is: How did scientists interpret the physical systems into mathematical systems? and based on what? Did all come from experiments?

Regards
 
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  • #2
saeddawoud said:
Hello,

In engineering, for instance, we set up the problem mathematically, and solve it mathematically. The question is: How did scientists interpret the physical systems into mathematical systems? and based on what? Did all come from experiments?

Regards

I don't think it all came from experiments, but that is the ultimate verification of the validity of mathematical modeling. Mathematics is often developed from the desire to understand the real world.

I'll just throw out some random things that come to my mind, but I'm not much of a science historian.

Newton pretty much invented basic calculus in order to mathematically describe his understanding of mechanical experiments which seemed to fit simple rules. He also invented the first form of rudimentary variational calculus to solve a real world problem.

Before this, Kepler showed that the orbit of the planets around the sun were elliptical. I think that Kepler had a mystical notion that God designed the universe according to a mathematical order that was intrinsically simple and beautiful.

Of course, mathematics was used long before this to describe the world. Euclid's geometry can directly model real world objects, and even if Euclid's school of thought is based on abstract logic, it can't be denied that the intuition of this basic geometry came from observation of the physical world.
 

1. What is mathematical modeling?

Mathematical modeling is the process of using mathematical equations and formulas to create a simplified representation of a real-world system or process. It allows scientists to study and understand complex phenomena, make predictions, and test hypotheses.

2. What are the steps involved in mathematical modeling?

The steps involved in mathematical modeling typically include identifying the problem, gathering data, formulating a mathematical model, solving the model, and interpreting and validating the results. This process may also involve making assumptions and simplifications to make the model more tractable.

3. What are the advantages of using mathematical modeling?

There are several advantages of using mathematical modeling. It allows scientists to study complex systems without having to conduct costly and time-consuming experiments. It also enables the prediction of future outcomes and the identification of optimal solutions. Additionally, mathematical models can be modified and refined as new data becomes available.

4. What are some common applications of mathematical modeling?

Mathematical modeling has a wide range of applications in various fields, including physics, biology, economics, and engineering. It is used to study population dynamics, climate change, chemical reactions, financial markets, and many other phenomena. It is also used in computer simulations and predictive analytics.

5. What are the limitations of mathematical modeling?

While mathematical modeling is a powerful tool, it also has its limitations. Models are simplifications of real-world systems and may not fully capture all the complexities and uncertainties. The accuracy of the results depends on the quality of the data and the assumptions made in the model. Additionally, models may not account for unexpected factors or changes in the system.

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