The Bubble Sort Curve
A derivation of the curve that is approximated by a common visualization of the bubble sort diagram.
Read the full proof on my site: linesthatconnect.github.io/bl...
The viral sorting algorithm video which first sparked my interest: • 15 Sorting Algorithms ...
The animations in this video were created using Manim: www.manim.community/
Music credits:
Fluidscape by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. creativecommons.org/licenses/...
Night Music by Kevin Macleod
river - Calm and Relaxing Piano Music by HarumachiMusic
... And a couple of my own songs:
The Fog: / the-fog
Heavy Head, Light Rain: / heavy-head-light-rain
Thanks For Watching: / thanks-for-watching
Chapters:
00:00 Intro:
0:37 Laying the Background
3:20 How Bubble Sort Works
6:59 Mathematically Describing Diagrams
9:13 Stretching the Diagrams
11:52 Visual Derivation
14:38 Symbolic Derivation
16:48 Nice!
17:07 A Rigorous Solution
A few notes which might be of interest, but which didn't fit in the video: - 3:27 - I'm using a loose pseudocode to represent the algorithm as compactly as possible. The for loops go to N - 2, inclusive. For some reason, that felt more natural to me. - Most of the list sorting animations use a more optimized version of the algorithm than what I step through. Since the largest n items are sorted after n iterations, we can stop the scan early, so each iteration is quicker than the last one. I used the slower version for the math because it is simpler to pretend that every iteration takes an equal amount of time. To transform the result into the more optimized version, just replace t with 1 - √(1 - t). - I "cheated" a bit for some of the animations by using specifically designed shuffles to make the curve really clear (0:02, 0:23, 16:54). The curve starts becoming really clear with random shuffles when the size of the list gets into the thousands (like at 2:30). But when the list length is in the low hundreds, it's usually pretty lopsided (like at 1:18). I think the low hundreds size is the most visually pleasing, so I figured that a slightly fudged shuffle was worth the extra visual clarity.
This is of course a special case. A lot like a giant single deck of cards, each one is unique. Real data or random data rarely comes close to this pattern. But as you stated, a larger data set will produce better curves. It does make for some rather cool visuals.
Another way of deriving the function would be to use probabilities, measuring the probability P[N=n] where n is the number of numbers to the left of an arbitrary position being lower than the number at that position. You could use n as a parameter to find f(n,t)
Bro you gotta make more Videos I enjoy them so much, you have an uncommon Talent in explaining (an manim, i dont get the library -_-)
You made the assumption, that the input data of Bubble Sort is more probably random, than almost sorted. I believe this to be wrong. IMHO, the only useful application of Bubble Sort (beside for educational purposes and making videos about the Bubble Sort Curve ;) is sorting some data which is constantly changing, the changes tend to be small but are highly scattered. One example that comes to my mind is the list of objects to be drawn in a 3D game. Have the objects sorted from "most fragments" to "least fragments", so nearby objects that obstruct other objects get drawn first and thus reduces the overall amount of work to be done drawing farther away objects only to overdraw them an ms later. How, this list will constantly change by the player moving and turning around (and moving objects), but most of this changes tend to be relatively small from frame to frame. So update the array with some measurement of "number of fragments drawn for this object" then resort the stuff using some Bubble Sort variant (maybe just do a constant but small number of iterations each frame, the result doesn't even need to be completely sorted for next frame), making sure the "biggest" objects are drawn first.
Babe not now, factorial guy just dropped
I, Newton, have also come to witness this event.
yes yes yes
😂
@@Sir_Isaac_Newton_SIR ISSAC NEWTON 🗣️🗣️🗣️
Lmaoooo
The most impressive part of it is that you did not skip the rigor, you wrote up a 26 page paper exploring the details. Really cool video.
HE WROTE A PAPER ALONGSIDE THIS VIDEO? Holy sh- Edit: just finished the video and oh my God the madman actually did
average lsgp strat
@@Prograde what the fuck why are you here
mcpk meetup moment
@@kurrycat what the fuck you too 😭😭 5.15.24
the curve matching is a lot more satisfying than any sorting video i have seen
The entire derivation build up made it so satisfying to see it smoothly lock into place after all his work
k u v I n a
manim has such good-looking visuals istg it's made by 3b1b so that's why you might see some similarities in the visuals
I watched that and could not stop myself from saying "nice", just to here "nice" in my ears a few seconds later 😂
You realize you probably have one of the best average video quality on KZhead, right? 4 videos, all killer, no filler.
he is the next 3b1b i think
Lol @ best average video quality
I know quite a few channels with very few very high-quality videos, such as Nemean and CodeAesthetic, and they happen to both be programming-related.
Joshs Channel also up there
a channel with a single, great, video is better :)
the way you gray out the inequality and move it to the side, and the way you color and increase or decrease the size of relevant parts of the graphs and equations is SO HELPFUL and i imagine tricky to get exactly right. i really appreciate it
It's actually not that hard to do using manim, it's a single line for each one. What I find impressive is that he even had the idea to do this, in this form, with these positions and timings, and in the end it's really the combination of all these design choices that make this video so beautiful to watch.
@@givrally7634 oh i meant “tricky to get exactly right” as in there’s a ton of feeling out being done for timings and sizes, and the feedback loop is indirect
17:50 "Which this epilogue is too small to contain", i.e. it will be proven in 350 years with methods not yet available to us. Here's to hoping 🤞. Great video btw!
Fermat moment
i thought of this exact same thing xD
Lets wait for 2374 :D
@@Rudxain FERMAT C: … uh oh I erased the data
lmao yep
Bro just comes in every year or so and just drops a banger on us
I just checked: It has been 08/2021, 08/2022, 04/2023, and this month 04/2024. See you in 2025.
Bro took quality over quantity to heart
This problem has been stuck in my head for a long time. You don't know how surprised and excited I was when I saw this video explaining the exact problem appears in the recommendation! Thank you so much for making this video.
Same.
Same
Sam
Why??? Why would you want to know a formula for the shape of the bubble sort curve?
@@JavedAlam-ce4muIt isn't that strange to see someone have curiosity for a random topic.
16:22 I can't even imagine the work you put in that ≥ to ≤ transition in manim. Great video as always.
I'm so glad this didn't go unnoticed! It's the kind of thing where you'd never think it takes so much work unless you've tried it yourself.
@@LinesThatConnect I haven't tried it and I was still in awe. I saw the equations dissolve and I was like "Wow, that was impressive."
I saw your presentation about this at a conference, maybe a month ago. I think maybe you said I was the first person you'd met that had seen your videos. This explanation is much clearer. Thank you.
Hey David, it was nice to meet you at the conference! I'm glad this approach worked for you
This is extremely cool! You’re essentially something called a “permuton”. These have become a hot topic over the last several years, but I haven’t seen anyone look at the “bubble sort permuton”.
Thank you!!! I've been working on this for so long without having any idea what the proper words are, so I've been stumbling through the dark. This gives me a direction to explore in!
I think the intuitive element of why this shape forms will come from the fact in bubble sort all the larger values will tend to drift to the right more rapidly than the smaller values move left. As you say smaller values will only ever move left once per iteration, but any larger values prior to the largest unsorted value will make multiple moves until the next largest value is found. From this, because the shape we are perceiving comes from the larger values in any local area, then you'll always get a shape that rapidly climbs to start, and increases more gradually towards it's end.
You went this far.. for a sorting algorithim? Absolutely insane. It was satisfying as hell watching the curve plotted against sorting.
he went this far for a sorting algorithm that nobody uses... but that fits exactly what I imagine mathematicians doing with their day.
I love the math videos where its not for academic purposes and is just someone talking about and researching something they love. Just started the video but I know im gonna love it, good job
That final animation of the curve that you found matching the data so smoothly was...jaw-dropping. 😲
The assumption part should also address why you are ignoring the dips and only fitting a tarp-like shape. Because the shape is only apparent to a human eye constantly searching for a pattern if you are using bars. If you use a scatter plot to represent the same process, the "shape" a human eye are seeing will actually become a string instrument, an American football-shaped part before x, and a straight line pass x.
He does explain/define shapes a bit more rigorously in his blog post. His proof, linked in the blog post, formalizes a definition of shapes at the top of page 9 (definition 8).
YOOO lines that connect is back !!
I absolutely love mathematics that are complex enough to be interesting yet simple enough to not require a degree to understand if explained in an engaging and informative way. And your excellent use of graphics and animation to demonstrate concepts that would otherwise be difficult to express verbally, that is just /chefskiss.
I have been asking myself this very question every now and then for years, but never took the time to look at it closely. I am so glad you made this video and that I found it. Loved it
The "curve" is just an artifact of how sorting algorithms work. There's nothing special about it.
@@Gordy-io8sb"The 'curve' is just an artifact of how sorting algorithms work." Evidently. Well, for this particular sorting algorithm, at least. Otherwise we wouldn't be talking about it. "There's nothing special about it." That's your opinion.
@@Gordy-io8sbEuler's constant is just an artifact of how exponential growth works. There's nothing special about it.
@@Gordy-io8sb I don't understand people who watch maths videos when they want to claim that everything they find is meaningless. It's interesting. That's enough of a reason.
@@thesecondderivative8967 Are you implying I'm one of those people? Let me tell you, those people are pseudo-intellectuals. I am above them.
I think it's super interesting that, if I understand correctly, you never encoded a directive into your proof that the curve should follow the *peaks*, or like, a convex hull or something, of the bubble sort. You were just like, "let there be a continuous curve that behaves nicely and connects up to the diagonal bit"... and the maths decided to give you back a curve that very specifically follows the peaks/convex hull of the bubble sort... am I missing something, or is that kinda weird?
math do be like that
Gorgeous. I always wondered what that curve was approximating, but imagined a proper derivation would be far more complicated than this. You're a smart guy, LTC. Keep it up
You should do a whole video on the Euler-Mascheroni constant, would be really interesting in your style
Who would eat oiler maccaroni?
@@chaotickreg7024 oiled up mammamia
16:48 for anyone wanting to graph this in desmos, to turn it into a recreation of the optimised bubble sort: - add the equations "y = {0
If you have a link to a public Demos graph of this that would be great!
t_{n}
First line: y=\left\{0\le x\le1-t:\frac{x}{x+t} ight\} Second line: y=\left\{1-t
Thank's man. You really made my night. I commit, I couldn't follow everything you said, but seeing the function draw it's graph was absolutely worth my time. Happy that you're back.
Your videos are some of few where you can watch them an unlimited amount of time and still learn something new every time. Keep up the great work.
Just amazing. Love the “nice” moment. Please keep posting!!! Love your stuff!!!
Been a while! Glad to see you’re back.
Whoa. I’m not a maths person but what little I got was beautiful. I feel like I understand why people enjoy maths a bit better.
this is just absolutely crazy. Every time you upload a video you keep surprising me with your everlasting increase in quality. The animations were incredibly smooth, at every single frame i had all the information i needed, no more, no less, and distributed THE best way possible. An incredible aesthetic, beautiful colors and design supporting an explanation that was precise and great. Please keep uploading videos of such quality, you are one the best math youtubers that have ever existed, no doubts at all.
great video, and really smooth graphics! always interesting to see maths applied to subjects where it isn't necessary
All these years I've noticed that curve and wondered if there was a way of fitting it, but I lacked the mathematical fluency to step through the process you did. Nice.
THANK YOU! I have been thinking about this since one of the first times I watched a sorting algorithms video and, as you said, there isn't much information on the internet about this specific problem. This was so cool to watch, you're also a great storyteller.
I love your videos, so glad to see you're back!
Finally, I thought for a second that no more videos would accur and yet, boom, here you are! Great to see you back!
I missed your videos, glad to see you again my guy
Subscribed. When the music kicks in at 16:54, I got emotional. You do a good job of hinting that this function is recursively defined in nature, which leads to an explicit formula, similar to how some sequences can be solved.
This was gorgeous! Initially, I didn't know how you would have tackled the problem. As soon you brought out the similarity condition I had an enlightenment. Beautiful problem, beautiful solution, splendid explanation!
Really interesting concept to explore, the a-ha moment at 14:23 really did it for me. Awesome stuff!
this s the most satisfying thing i watched in recent days..... we need more videos from you.... amazing stuff.... i have become big fan of your work....
Return of the King
Trotk
I just wanted to say that this is amazing. You provided not only an excellent video for KZhead, but an entire paper with a mathematical proof for anyone interested in the topic. This is what educational KZhead videos should be. Great work and please keep going, this is how popularizing math and computer science should look like! Also, the whole premise of this topic is so simple, yet so non-trivial to think about. I'm almost angry that I didn't think about this problem myself :)
Amazing! Always like to find the limits of discrete processes. Thank you
After all the work to see the curve fit so well... perfection
this is such an interesting application of functional equations, I love how we start with the conditions the functions must satisfy and somehow narrowing it down to one possible solution
I’ve been wondering about this exact question for years. Thank you so much!
Never thought about this before, but the moment I saw the thumbnail I was intrigued!
Very nice exploration and explanation! Will now immediately check out your prior vids, and, very likely, subscribe. Good stuff!
This was genuinely beautiful
This is the kind of content I love most, even if I don't end up watching them most. Excellent job!
This is so amazing question, approach, and answer. Thank you so much
Amazing display of creativity. Congrats and thank you!
Incredible video! I first imagined that some stochastic techniques would be needed, but your parametric approach was simple, comprehensive, and beautiful at once. To generalize the result to non-uniform elements in the array, you can just say that you work with their quantiles.
Man I have been eagerly waiting on you. Glad to see you back :D
I literally just checked your channel last week for any new videos and thought "what a shame, looks like there's no more coming", and then you drop a new vid, let's go!
Wonderful! Informative! Well presented, written, and recorded! Please continue doing this, keep up the excellent work
what an amazing derivation, so simple yet so satisfying
One of the most beautiful videos I’ve watched in a while, this is why I love maths.
To say this content is as wonderfully illustrated and animated as the content of this one blue, three brown guy (or whatever his nickname is) wouldn't be an exaggeration. The presentation is nothing short of excellently executed and gives a masterclass in teaching. What a joy to join in and getting educated! Thanks a lot for all the enormous effort and time you put into this marvellous piece of edutainment! 😊
Nice video. The derivation of the closed form was well established and you answered all key question I'd worry about.
I've wondered about this for years, thank you!
This is absolutely beautiful. For many math videos out there, I could guess where it’s heading just from the thumbnail/title. This one stunned me. I guessed that this might need some differential equations or some sort of series and end up with something like natural log. Turns out just a few weeks of Calculus 1 would do. Gorgeous! Edit: I usually don’t give a like to videos, but you deserved it.
One little addition to the graph: you picked the scale 1x1 so everything outside 0
Beautiful derivation! Keep up the great work :)
Wow, this videos has such high production quality!
Wow! This video is less than a day old and has less than 50k views? It seems like the kind of video I'd watch from some giant maths channel that came out several years ago and has amassed millions of views. This has instantly earned my sub
Bro this is so cool. I am so proud of you
This was honestly beautiful, an incredible example of the mathematical analysis that happens in computer science
Such a beautiful result for such a messy problem!
I love getting detailed answers to strange and obscure questions that I never though to ask. Fascinating.
that is the point of yt imo
Thank you! The first time I've watched some animated sorting algo comparision I asked myself the same question.
I've always noticed this, nice to see a video on it!
wonderful video, love how followable the assumptions and process were
You're one of the clearest math youtubers out here!
One of the best videos about math an programing i have ever seem!
This style is fantastic. I’m a community college dropout and I understood this entire video while stoned out of my body. Absolutely impressive work!!
This was so satisfying. Amazing!
This video is beautiful. Thank you.
This is absolutely beautiful
Absolutely HEAVENLY. What an immaculate video.
Have you ever seen those memes that say "pick two: Fast, Cheap, Good" Well, I feel like you identified the equivalent for math proofs. "Pick two: Correct, Intuitive, Rigorous" Well, the choice is really which one to exclude. Excluding 'Correct' is not acceptable in math, or really ever, but the video you have provided combined with the long paper proof you worked out have provided all three to those who want it. It is inspiring how well you have found a clever way to explain this without the headache, and how well you have documented it in its most rigorous form in your blog. Thank you. I hope I can one day do work as good as this.
Holy hell you’re back!
Awesome video man! You'll never let me down!
What a great question to ask! I could've watched a dozen more examples of the curve perfectly matching a real sorting like 16:54
One of the GOATS is back
Beautiful! Very nice question, well explained throughout
I used to suggest 3b1b for math videos to all my math students, but now I suggest LTC, it's just pure magic to be honest.
Why not both?
I took the challenge to find the curve myself, and my central idea was this: For the bar height Y to end up at position X after T iterations, there need to have been exactly T bars before position X that were higher than Y. For ease of notation, let's instead talk about the normalized values x = X/N, y = Y/N and t = T/N, where N is the size of the array. The factors N would cancel out in the end anyway. The likelihood of there being exactly k bars higher than y before position x is given by a binomial distribution: P(k) = (1-y)^k * y^(x-k) * (x choose k). For larger N, this distribution contracts around its expected value until in the limit N -> infinity, all the probability mass is _at_ the expected value and we are certain that the condition is fulfilled at step t = (1-y) * x. This doesn't quite define the right curve yet, because the original condition neglected that the bars are moved one spot to the left when an iteration passes them. After t iterations, values are shifted a distance t to the left. We represent this by replacing x with (x+t) in the formula: t = (1-y) * (x+t) t = x + t - y * (x+t) y * (x+t) = x y = x / (x+t) There we go. If we want to include the already sorted bit, we can write y = max( x / (x+t), x ).
Bravo, I'm jealous of how quickly you came up with that! That's the gist of my rigorous approach, but it took me a crazy long time to think of it.
I would love to see an extention to this video... I absolutely loved bubble sort and wanted to know more about that curve (others did also).... this video of yours provides that information really well (and probably the 1st of any).. thank you
Simply beautiful in presentation.
This is one of those questions that’s been in the back of my mind forever but I haven’t had the patience or motivation to actually figure out the answer to
Nice. When I was watching these visualizations long time ago, I also noticed that it is creating some hyperbola or something, but never digged dipper. Interesting way of using scaling law to figure out the formula. It is still a bit mysterious why it actually works, but I guess, random something something makes it so. Will read your blog too, because it still bugs me up. Really good video.
Wow, this video is spectacular. It reminds me of the story of great animation you get on 3 Blue 1 Brown. Now, you just need to get the same amount of subscribers. Great job.
that was a perfect way to end the day on thank you.
Just absurdly amazing!!!
The yt algorithm has blessed me again, awesome vid
Just wow... Better than any common video about sorting
Oh my god someone made a dedicated video to a question thats been on my mind for years
I adored this video!! ❤
I can't believe this problem would be solved so elegantly!