7/12/2025 9:49AM
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After hovering over numerous different topics in mathematical physics, I decided to finally start learning calculus of variations to support my further study downstream in classical mechanics. I have always really struggled with going from physics -> math and upon reading a junior-level classical mechanics textbook three weeks ago, I felt like an actual Physics major -- constantly lost and confused at what I'm reading or doing. So, I decided to study the mathematical theory behind it first before tackling anything (which is just simply something I should have done to begin with since I've known that works...)
I first got the idea because my friends in Physics learned classical mechanics last semester and I found it very interesting - but could barely follow whatsoever. Granted I only showed up to two of their courses halfway through the semester, I still found a common theme of 'optimization' or at least efficient calculation in order to determine some parameter or value. It immediately resonated to a memory I had in high school, when we were learning about basic optimization theory in calculus AB and I found myself absolutely bewildered. I mean, coming from a purely middle-school geometric and algebraic standpoint, it was insane to me that you had such a simple process to the maximization of some parameter. I mean, to me, this is the heart of applied calculus - sure it can get complex, but it will always be something as simple as f'(x) = 0, f''(x) > 0r f''(x) < 0. Even in a multivariate sense this rings true, ∇f = 0, ∇⋅∇f/H and its properties, etc.
I decided to use the little analysis I learned last semester and apply the basic ideas we learned (and honestly I might not have applied them correctly, I might have written something wrong or weird, you can detonate a bomb within 2 km of me if you want) and attempt to prove or the very least provide an outline on what I think you would need to prove things like the extreme value theorem or f'(x) = 0. My general philosophy on life and take is a novelty-based approach, and I've always been incredibly impatient when it comes to experiencing things I've already experienced before and provide no value, but applying the analysis to see things I already knew in a different light or way was satisfying and sort of a message to myself that it's okay to go back and redevelop your foundations. It's never a bad idea and in fact, I'm pretty sure neuroscience supports this position of *meaningful* repetition being the optimization of learning (haha). So, whenever you can, change your basis -- the result might be the same but the new process can be quite enlightening. (This is still consistent with my approach on life, see? I love new things)
Resources I am using:
https://youtu.be/6HeQc7CSkZs?si=-5AJtuXTkTbh7AqZ
Classical Mechanics by John Taylor
Fractals Everywhere by Michael Barnsely, which covers precisely the same exact sequence (haha) and concepts that I learned in my proofs + analysis course, was a good review and nice read. Might read a little more later.
5th image is just me trying to understand ray angles and construct them for some software I am making at work. 6th was my work outfit because this is my Tumblr and I can be as slutty and weird as I fucking want. Bye