Physics and Math: Too Much Math in Theory?

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In summary, mathematics is heavily relied upon in the application of physics, particularly in theory. While some may argue that we rely on it too heavily, mathematics is crucial for making predictions and providing a clear, logical framework for understanding the physical world. The relationship between mathematics and physics is complex, with mathematicians focusing more on the functions and solutions of equations, while physicists are more interested in the physical implications and meanings of those equations. However, both fields are essential in understanding the world around us.
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bozo the clown
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Do we rely to heavily on mathematics in applience to physics especially in theory ?
 
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Yes we do. When you want to make predictions you have to calculate numbers, and that means you have to have a mathematical model of your physics.
 
  • #3
Did you ask "too heavily?" Then no. Mathematics is very important for physics, because mathematics is objective, clear, logical and crosses all national boundaries. It's the best language for the job.
 
  • #4
Well the interesting part is that a pure mathematician (no intention to hurt your feelings if you're one) who works on the same set of differential equations for instance, that a physicist does, is concerned more about the mathematical functions which are its solutions. He is normally not concerned with the visualization and the physical meaning of these equations (which become very complex as the level of detail and precision increase).

On the other hand, a physicist would like to see the differential equation and deduce from it the associated boundary values/eigenvalues to reach conclusions about the meanings of the solution in the real world, instead of becoming too absorbed in mathematical analysis that takes him (or her) away from it.

So while existence and uniqueness of a solution may be pure math for the mathematician, it means a lot in terms of a theory or a physical meaning for the physicist.

To come back to your question, mathematics is an integral part of physics and you can--to a good extent--say that physics is the real world+related mathematics+conclusions...

Cheers
Vivek

still learning...
 

1. What is the relationship between physics and math?

The relationship between physics and math is very close. Math is often considered the language of physics, as it is used to describe and explain the fundamental laws and principles that govern the physical world. In order to understand and make predictions about the natural world, physicists use mathematical equations and models.

2. Why is there so much math in theoretical physics?

Theoretical physics is the branch of physics that seeks to understand and explain the natural world through mathematical models and theories. Since math is the language of physics, it is necessary to use a lot of math in theoretical physics in order to accurately describe and predict the behavior of physical systems.

3. Is it possible to understand physics without being good at math?

While some concepts in physics can be understood without a strong mathematical background, having a solid understanding of math is crucial for understanding the more complex and advanced theories of physics. It is not possible to fully comprehend the intricacies of theoretical physics without a strong foundation in math.

4. How can I improve my math skills for studying physics?

The best way to improve your math skills for studying physics is to practice, practice, practice. Start by mastering the basic concepts of algebra and calculus, as these are the two most important branches of math used in physics. You can also seek out resources such as textbooks, online tutorials, and study groups to help you improve your math skills.

5. Are there any real-world applications for the math used in theoretical physics?

Yes, the math used in theoretical physics has many real-world applications, including engineering, computer science, and finance. Many of the mathematical tools and techniques developed for theoretical physics have been adapted and used in these fields to solve complex problems and make accurate predictions.

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