Derivative of the Natural Number Power Function

  • Recently I’ve been doing a lot of relatively advanced mathematics. Since most kids are off from school, I don’t have much work. In many ways this is a blessing; while I love tutoring, it has become exhausting in recent weeks. I’ve needed a break for a while now, and those last few days were becoming rather desperate. I had one session today, which was actually pretty nice and felt highly productive. I think that’s another thing; I need to take breaks every once in a while to do my job well. If I don’t, I end up burning out, and tutoring feels like a chore and I just want to get through the hour. But today felt useful, and it was kind of just nice to talk about math to someone for a little while.

    Math is usually this kind of solitary thing, where you don’t really communicate with too many people. I mean, I spend a lot of time online searching forums and watching YouTube videos for information, but I never talk to anyone about more advanced topics. I think this is a temporary state, and will change as I move forward. It’s also a matter of confidence to a certain degree. I know that I’m learning a lot, but I still feel like a baby in this world. Some things that I really struggled with a few months or weeks ago are now starting to make a lot of sense, which is a great achievement for me. I’m also spending so much time each day working on these ideas that I think I’m going to progress very quickly. So perhaps in the near future I’ll summon the confidence to reach out to those as passionate as I am.

    I’ve been spending a lot of time working through Maxwell Rosenlichts Introduction to Analysis and Theodore Gamelin’s Introduction to Topology books recently. While I did take a real analysis course back in college, I don’t really remember any of it. All this information feels to me either brand new or vaguely familiar. Even worse, I never took a topology class, so all of that subject is pretty much new to me. That being said, since analysis and topology are extremely similar topics, there is a lot of the same information in both, just phrased differently. Having received the topology book for Christmas, I’m only in the early pages of it, but the entire first chapter is on metric spaces, which is my current chapter 3 subject in Introduction to Analysis.

    I’m enjoying both books a lot. Math is such a fun, freeing, joyful subject. There is so much to understand and explore, and the feeling you get from really understanding a topic, or even just pushing the boundaries of your own comprehension is really wonderful in my view. I do wish I had more people to share that with.

    I haven’t uploaded here in a while because in all honesty I’m a bit lazy when it comes to journaling. I would rather just be working. On that front, I was overzealous as always, and felt I could get a lot more done than I reasonably could. I’m currently working on problem 19 of my analysis textbook in chapter 3, so I’m getting there. I did a few today, but a lot of my time was spent scratching my head and being acutely uncertain. My LaTeX document is getting excessively long now, nearing 45 pages, and I figure it’ll likely make 100 before I’m done. More realistically, 150. As far as a timeline goes, I anticipate the rest of the problems will take me through to the summer, especially with my time being split between analysis, topology, and tutoring.

    Anyways, I’m going to return to work now for a while. See you later.

  • In an attempt to make sincere progress on Rudin’s Principles of Mathematical Analysis this coming spring, I’ve decided to give myself a challenge; over the next 10 or so weeks I’ll attempt to answer and write up solutions to every problem in Rosenlicht’s book Introduction to Analysis. To do this, I’ll hopefully complete a chapter each week. Given that I’m actually quite busy, and some of these chapters have 30+ problems in them, this is going to be a difficult thing to do. Still, it’s worth trying. The first chapter, Notions from Set Theory is below. All you really need in order to understand it is some naive set theory, which isn’t difficult to acquire in a few hours of internet research. Thanks, and enjoy!

  • The leaves are changing. Fog settles in the morning and lifts as day breaks, allowing sunlight to scatter across gold and orange leaves. The Hudson Valley is so beautiful this time of year. It makes me happy to be alive, to be thinking and working and experiencing all of this.

    Near the Shawangunk Mountains

    Days blur into one another. I feel like the year has just begun, right as it’s starting to come to a close. My sessions are a little light some days, and yet I’m busier than ever. About a month ago I was taking a walk and remembered a question I had a few years back, when I was taking calculus. I was never given evidence or proof for why the derivative of sin is cosine, and why for cosine it is -sin. In attempting to write a little proof for this, I realized that I was making many assumptions. Certain limit properties I just take for granted, without having any sort of basis for those assumptions. While we know these properties hold true, if I was going to spend the time to prove something that we also know, namely the derivative of sin or cosine, I might as well find the justification for these limit properties as well. Mathematical truth cannot be assumed; it must be found definitively and worked out. This endless need for proof is the beauty in all things. It’s the reason I love mathematics. The fact that you can start atomically, from singular basic principles, and build outwards is amazing.

    With this need in mind, I took a break from what was becoming a rather long document investigating these derivatives and began reading Terence Tao’s lovely, if mathematically intensive book Analysis 1. I relearned proofs by induction, which is currently one of my favorite things, and grappled with a variety of set theoretic ideas. Realizing that there was a lot of set theory I did not know, and that would be beneficial to understand, I paused around page 60 and started on Enderton’s Elements of Set Theory. This book is gentler than Tao’s, but no less confusing in nature. Like machine code in computer science, set theory lays the groundwork for all of higher mathematics. Sets, functions, and even classes appear to be everywhere in analysis and algebra.

    Despite the difficulty of this material, certain axioms and ideas are beginning to make sense. The Axiom of Replacement, Axiom of Regularity, Axiom of Extensionality, and so on, are all starting to feel like second nature to me. Just like understanding machine code as a software engineer isn’t generally a necessity, but may make you better at your job, I feel that knowing the ins and outs of set theory may result in overall higher mathematical ability for myself.

    More mid-fall beauty

    There’s something horrifying but strikingly beautiful about set theory. Because it underpins the rest of mathematics, there are many ideas within it that seem to run counter to intuition. Different kinds and levels of infinity, the Banach-Tarski theorem/paradox (of which VSauce made a fantastic video), Russel’s Paradox within the context of naive set theory, and more come to mind. Even the idea that there is no set containing all sets, which lends itself to some mathematicians working in a type of set theory known as von Neumann–Bernays–Gödel set theory(or NBG for short), which insists on the existence of these seemingly impossible to define containers for sets known as “classes.” Why can’t we have a set containing all other sets? Because while you can put as many objects as you want in a box, the only thing you can’t put in the box is the box itself. You can’t have a set containing all sets, because that would imply that it contains itself, which leads to all sorts of logical issues.

    The truth is, beneath all the shiny luster of theorems and proofs and “objective reality,” mathematics is an ontological nightmare. In reality, we can’t really know anything with certainty, because the very framework that all of this is built on seems rocky at best. From a theoretical perspective, this is troubling, though from the viewpoint of practical application, it’s all just good enough.

    Anyways, I’m having a good time and learning a lot. Most likely some or most of the material in this little post is wrong, and maybe I’ll come back and correct it later if I find issues. Or maybe not; perhaps it’s better to leave as an artifact of my ignorance at this point, as evidence of growth to my future self.

    In the spirit of showing what I’m currently learning, I’ve included a handful of proofs from the early sections of Enderton’s short book. Though they’re just a few of the many problems he poses (or variations of them at least), these are a few I felt were the most interesting so far.

  • Yesterday I saw a video exploring fractional derivatives. That is, derivatives not of fractional exponents, but derivatives of functions midway between the first and second derivative, second and third, and so on. This topic got me thinking about how one goes about finding the nth derivative of a power function, which led me to write this little series of proofs. While I’m sure not original, all the work below is my own. It will hopefully allow me to explore the concept of fractional derivatives in more depth going forward. Taking an aside from my study of real analysis has been somewhat painful, though, so I think I’ll return to that for the time being.

    Though I have done my best to proof-read these arguments, if you notice any issues with my work please send me an email at tyler@functionaltutoring.com. There are a few quirks in here that I haven’t properly vetted as of yet, but it’s a work in progress.