Maybe you are talking about the number of prime factors. This quantity is irrelevant to door open/closing problem.
71 karma · joined February 17, 2019
Maybe you are talking about the number of prime factors. This quantity is irrelevant to door open/closing problem.
perfect square <=> odd number of factors
Proof: For every divisor d of n, n/d is another, different, divisor. This gives a pairing of all the divisors. The only exception is if n/d = d.
The exceptional case n/d=d only happens when n=d^2, i.e. when n is a perfect square.
Thus, when n is not a perfect square, there is a pairing of all its divisors, hence the number of divisors is even.
If n is a perfect square, the pairing pairs up all the divisors except for sqrt(n). Thus the number of divisors is odd.
The proof I outlined will work for any point. Initially it might have the wrong number of points on both sides but for some rotation it will have the correct number of points on both sides.
Yes, those references demonstrate that some mathematical facts can be demonstrated easily, given the right presentation.
I agree that there is large gap between current mathematical presentations and the optimal presentation.
I am curious how effective the optimal presentation is. How easy can we make math? We have to be careful of the trap that the 3b1b video warns us against - when we understand something it is very difficult to put yourself in the shoes of a beginner. Something that looks like an elegant and clear presentation may seem like gibberish to the beginner (look at the YouTube comments on the 3b1b video).
I tried to google "Alan kay teaching calculus smalltalk" and didn't find anything. I am curious to see how much he actually taught the kids. It's clear that the typical college student, after taking a typical calculus class, doesn't really get the point of calculus. They may be able to follow some algorithms for differentiating and integrating but I don't think they understand when they can apply calculus.
> I am questioning their utility as an educational device.
Puzzles like this aren't found in mainstream math education contexts. As you acknowledged in your post, they are only found in math competitions. What do you mean?
Is that why she is teaching two classes in her first semester, including one which is lower division?
Not really sure what you're saying. The fact that she's teaching just means that she isn't using (or doesn't have) a research grant to `buy out' of teaching.
> Usually you don't put the crappy teachers in the lower division classes, you give them graduate seminars.
Again, I don't know where you got this idea from. Usually (in a math research department such as the one at Stanford) whoever's arranging the teaching assignments doesn't look at an instructors teaching credentials at all, unless they are egregiously bad. So all we can conclude is that she isn't absolutely awful at teaching.
The fact of the matter is that many researchers (due to their incentives) view teaching, especially lower division courses, as a chore, so really anyone in the department who wants to teach such a course is not going to get much opposition.
One of my metrics for determining if a fact F is interesting is if P(F) is much larger than V(F).
Here P(F) is, vaguely speaking, the amount of effort required to "explain" or "generalize" the fact, and V(F) is the amount of effort required to verify the fact. In the case of e^{-x}, each individual example can be verified by an elementary schooler so V(F) is very small. On the other hand, I don't see how you could explain the phenomena of convergence to 0 without teaching the elementary schooler a large part of calculus, so P(F)/V(F) is large.
e.g. 1+4-9+16-25+36-49=-26
Let's just let each other be excited about our favorite math, okay?
I don't think it's malicious, we're just trying to narrow down exactly what makes something interesting. In the process, we get to understand our favorite math more deeply. Nothing is surprising if you've seen it before.
On the other hand, if you can find a theory that makes a miracle look mundane, then the theory is probably interesting.
So finding reasons why something is `not surprising' is a good guide to finding interesting math. and as there is no additional change that comes "out of nowhere", so to speak,
The whole explanation rests on this key point, and in fact this is the unintuitive part. In fact, it's not even always true. It's a "miracle" that it sometimes is true.As for the other examples, here is one explanation for why they are ubiquitous in physics. Essentially, the class of analytic functions is closed under "solving differential equations".
So that's why sin/cos/exp/bessel are analytic - they are solutions to differential equations with constant/polynomial coefficients (we already know that constants and polynomials are analytic). That's why many functions found in physics are analytic - they are created from other analytic functions via a differential equation.
https://math.stackexchange.com/a/190167
P.S: Regarding your last statement "almost all smooth functions are almost polynomial", something much stronger is true: Every continuous function is almost a polynomial.
Each of the terms is a rational number, and the each of the sums will be an extremely small rational number (numerator will be tiny compared to denominator).
Don't you think Pythagoras would be impressed and mystified? Would he be able to come up with an explanation for this `coincidence'?
Now try the same with with x-x. That's not going to impress Pythagoras.
this is not true of all functions... But it is true for very large classes of functions
Which classes of functions?
It sounds like you're saying that a function is determined by its derivatives if it's determined by its derivatives.Coming back to python is annoying because it's harder to make sure code is at the right indent level than to use { }.
In fact writing this comment inspired me to find this: https://github.com/mathialo/bython
Yes, I thought this article was a very well written introduction, but I held back on sharing this link with some non-math friends because I didn't want them to feel dumb if they find it difficult to get through.
Definitely not a deep dive. The details can probably be found by chasing down the citations.
E.g. Usain bolt makes far more than 10x money from running than the average healthy adult.
import numpy as np
class Shooter:
def __init__(self):
self.dead = False
self.right = None # The person to the right
def simulate(n):
# Simulates a round with n shooters
# Returns the ratio of survivors
shooters = [Shooter() for i in range(n)]
for i, shooter in enumerate(shooters):
shooter.right = shooters[(i+1) % len(shooters)]
np.random.shuffle(shooters)
HIT_PROBABILITY = 1/6
survivors = n
for shooter in shooters:
if not shooter.dead:
if np.random.random() < HIT_PROBABILITY:
shooter.right.dead = True
survivors = survivors - 1
return survivors/n
Simulations suggest that the survival probabilities do not converge to 6/7 if you add shuffling. This makes sense, since the survival probability for the random shuffling version must be strictly less than if you are guaranteed to go first. >>>sum([simulate(10000) for j in range(1000)])/1000
0.8463075999999998