What is the practical use of calculus in various fields?

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Discussion Overview

The discussion revolves around the practical applications of calculus, particularly in the fields of engineering and physics. Participants explore how different branches of calculus—differential, integral, and multivariable—are utilized in real-world scenarios, especially in electronics and communications engineering.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant expresses curiosity about the relevance of calculus to their future career in electronics and communications engineering.
  • Another participant asserts that calculus is fundamentally important to the field, suggesting that "basically, everything" relies on it.
  • A participant highlights that electromagnetics is heavily based on Maxwell's equations, which require calculus for deriving solutions related to antennas, transmission lines, and transformers.
  • It is noted that the equations governing current flow and voltage formation in semiconductors involve differential equations, emphasizing the role of calculus in these applications.
  • Participants discuss the use of differential and integral equations in circuit design, simulation, and optimization, as well as the importance of integral calculus in transitioning between time and frequency domains.
  • One participant shares a personal learning experience, explaining how differentiation can be better understood through the concept of differences and the use of numerical approximations, particularly in computational physics.

Areas of Agreement / Disagreement

Participants generally agree on the significance of calculus in engineering and physics applications, but there are varying perspectives on how best to conceptualize and teach differentiation and its practical implications.

Contextual Notes

Some participants express uncertainty about the best methods for understanding differentiation, indicating that learning calculus may require more than a single discussion thread. There are also references to the limitations of numerical approximations compared to the theoretical foundations of calculus.

Butterfingers
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Hello all,

I am a newbie here, and I have a couple of things to ask with relevance to what I'm doing here... but first I'll want to introduce myself, I'm an Electronics and Communications Engineering freshman (turning sophomore this school year 2006-2007) studying in the Philippines.

I'm curious towards what calculus (differential, integral, multivariable) has to do with what I'll be doing for a living someday.

And what else is calculus applied for... thanks for your time. ^_^
 
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I'm curious towards what calculus (differential, integral, multivariable) has to do with what I'll be doing for a living someday.

Basically, everything.
 
Well, for starters, pretty much all of electromagnetics is based on Maxwell's equations, which are expressed in either integral or differential form. To work with E&M, you use calculus a lot to derive solutions for real world situations like antennas, transmission lines, transformers, etc.

And when you work with semiconductors, the equations that govern how currents flow and how voltages form involve differential equations.

And when you work with designing and simulating and solving circuits for their behavior (and optimizing their behavior), you are working with differential and integral equations. And when you use tricks like switching back and forth between the time domain and frequency domain for signals that you are working with, you use integral calculus to do it.

And...
 
differentation is better conecptualized when changed into a difference. Basically, as a physicist, I would be exploring the numerical relationships between things, but sometimes things don't have a static relationship.

Instead you can only write an equation for how one thing changes as another thing changes...

Berkeman's examples where excellent.

Try changing a differential into a difference (or asking a teacher how) and plugging real numbers into it. Differences are not accurate, because they use real numbers and approximations, where as a differential uses an 'infinitesimals' which is a lot like infinite, only going towards zero instead of away from it. To put it another way, you're using 'infintely small numbers' in differentation.

Difference tries to use really small numbers, but not infinitely small.

Honestly, I didn't learn differentation from my differential equations class. It wasn't until Computational Physics, where we had to convert differentation to a difference (because computers don't know a thing about infinite, they don't think continously like we do) that I was able to conceptualize it.

Once you see how differentiation works, and you've seen a few differential physics equations, you'll get it. I don't think it's something that you can learn in one thread.
 

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