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J Pi Maths
United Kingdom
Приєднався 11 лип 2020
Hi,
I'm Jaymin
I like maths
I study maths at Oxford University
Subscribe pls
Jaymin. Jaymout.
I'm Jaymin
I like maths
I study maths at Oxford University
Subscribe pls
Jaymin. Jaymout.
The Fibonacci-Geometric Sum
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The Surprising Maths of Secret Santa
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how many ways are there to distribute gifts in the style of Secret Santa among n people? 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
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Cambridge Interview Problem - A triangle's maximum area
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Can you solve this Cambridge University interview problem? In this video I use Heron's formula. For a proof, see my video: ua-cam.com/video/d1CZX33A50Q/v-deo.htmlsi=7rRVIgS3c-exgVMy 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
Why 2024 Fibonacci Numbers Don’t Sum Up to a Fibonacci Number
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A fun limit evaluated in two ways! 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
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integration at its finest
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A fun problem for anyone preparing for their maths interviews at Cambride University. 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
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Two people play a game: There are n sweets in a pile and they each take it in turns to remove at least one sweet from the pile whilst ensuring they take no more than half of what remains. The person who removes the last sweet is the loser. Are there values of n for which the second player has a winning strategy? 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
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Oxford University's maths interviews are around the corner. This is a fun little quartic problem from TBO's problem solving booklet. 🎓 jpimathstutoring.com 📷 jpimaths Contact me: jpimaths@gmail.com
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p, 2p-1 and 2p+1 are all prime numbers
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p, 2p-1 and 2p 1 are all prime numbers
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How Hard Are Oxbridge Maths Interviews? Cambridge Grad Asks Me Real Questions
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BMO: Can the product of 4 consecutive integers equal the product of 2 consecutive integers?
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BMO: Can the product of 4 consecutive integers equal the product of 2 consecutive integers?
you're obliged to show the series converges first. AFAIK that wants binets formula, which is the natural tool for just bludgeoning the problem into submission anyhow; you express it explicitly as the sum of two geometric series and push around some annoying irrational numbers for a while. for viewers who don't understand the motivation for the steps in the vid: in the expression for S you first segregate the first term from the rest, then for the series part you use F(n) = F(n-1) + F(n-2). this recurrence doesn't apply F(1) (or F(0), which is absent from this problem), which is why we treat that term separately. the series (serises?) with F(n-1) and F(n-2) you reindex each one to restore the subscript to F(n), and with very little clean-up you wind up with S = 1/2 + S/2 +S/4 just as in the vid.
@@theupson ah yes you're totally correct. I forgot to show that it converges first, but this can easily be shown using the limit comparison test. (As the Fibonacci numbers approach are of order ((1+√5)/2)^n which is less than 2^n, and so the sum can be bounded above by a convergent geometric sum.
It was a total waste of time watching your presentation. Could you not say at the beginning that it is impossible? Gave a Dislike 😮
pi minutes long
@qqqalo haha what a pleasant coincidence!
Merry christmas!
You too🎉
@OliverGoodman-todd and a happy new year!
1. k = p^a * q^b *... | n^5 - n 2. p^a | n^5 - n 3. a = 1, p | n^5 - n 4. a = 1, p - 1 | 4 5 a = 1, p \in {2, 3, 5} 1 <=> 2 <=> ... <=> 5 k = p^a * q^b *... | n^5 - n <=> a = 1, p \in {2, 3, 5} <=> k = 2^{0, 1} * 3^{0, 1} * 5 ^ {0, 1} => max k = 2 * 3 * 5 = 30.
Interesting. I’d guessed correctly the results and had the same counter example as you. The conditions in 3 felt odd. It didn’t seem possible that by perturbing x y and z you could switch which bullets were true - some kind of continuity argument though I guess we really want purely algebraic arguments in this Q - and hence all three bullets would be true if any one was true, and that felt strong enough to convince me it was likely to be an isometry.
From the below derivations, we can easily see that the general formula for S_k would be a binomial series expansion Let S_k = S[n^k/n!] S_k = S[m^k/m!] = S[m^(k-1)/(m-1)!] Let n = m-1, then m=n+1 => S_k = S[(n+1)^(k-1)/n!] => S_k+1 = S[(n+1)^k/n!] But we know (n+1)^k = k_C_0*n^0 + k_C_1*n^1 + k_C_2*n^2 + ... + k_C_k-2 * n^(k-2) + k_C_k-1 * n^(k-1) + k_C_k * n^k , where k_C_p is "k Choose p combinations" => S_k+1 = S[(n+1)^k/n!] = S[(k_C_0*n^0 + k_C_1*n^1 + k_C_2*n^2 + ... + k_C_k-2 * n^(k-2) + k_C_k-1 * n^(k-1) + k_C_k * n^k)n!] => S_k+1 =k_C_0*S[1/n!] + k_C_1*S[n/n!] + k_C_2*S[n^2/n!] + ... + k_C_k-2*S[n^(k-2)/n!] + k_C_k-1*S[n^(k-1)/n!] + k_C_k*S[n^k/n!], where k_C_p is "k Choose p combinations" Since we would have calculated the values from S_0 to S_k, we can calculate the value of S_k+1 from the above general formula
Nice video I know why you reminded me of Ramanujan. It was because I had sound off and I thought you would speak Indian😂
You sound like an imbecile. Do you want to add a third sentence about how your two braincells couldn't think further than your racial prejudice? Maybe add another emoji to make it seem less backhanded.
Proof for S[n^3/n!] = 5e based on S[n^2/n!] = 2e & S[n/n!] = S[1/n!] = e S[m^3/m!] = S[m^3/(m-1)!] Let n = m-1, then m=n+1 S[m^2/(m-1)!] = S[(n+1)^2/n!] =S[(n^2 + 2n +1)n!] = S[n^2/n!] + 2*S[n/n!] + S[1/n!] We will prove below that S[n^2/n!] = 2e, S[n/n!] = S[1/n!] = e Substituting above, we get =2*2e + 2*e + e =5e Therefore S[n^3/n!] = 5e Q.E.D ============================================================================ Proof for S[n^2/n!] = e based on S[n/n!] = S[1/n!] = e S[m^2/m!] = S[m/(m-1)!] Let n = m-1, then m=n+1 S[m/(m-1)!] = S[(n+1)/n!] = S(n/n!) + S(1/n!) = e + e = 2e Therefore S[n^2/n!] = 2e Similarly we can prove S[n/n!] = e based on S[1/n!] = e ============================================================================ Similarly, we can prove that S[n^4/n!] = 15e S[m^4/m!] = S[m^3/(m-1)!] Let n = m-1, then m=n+1 S[m^3/(m-1)!] = S[(n+1)^3/n!] = S[(n^3 + 3n(n+1) + 1)/n!] =S[n^3/n!] + 3*S[n^2/n!] + 3*S[n/n!] + S[1/n!] We know from above that S[n^3/n!] = 5e, S[n^2/n!] = 2e & S[n/n!] = S[1/n!] = e Substituting above, we get =5e + 3*2e + 3*e + e =5e + 6e + 3e + e =15e Therefore S[n^4/n!] = 15e Q.E.D
There is another elegant method to derive such results recursively (without the tedious factorization). That is, if we know what S[n^k/n!] is, we can recursively derive what S[n^(k+1)/n!] is. Using this method, I shall prove below that S[n^3/n!] = 5e and S[n^4/n!] = 15e Let S[..] be the sum of infinite terms with 'n' starting from 0. (It really should not matter that 'n' starts from 0, as the first term will be 0 when we have 'n' or its higher powers in the numerator. Thus the series will effectively start from n=1, when we have 'n' or its higher powers in the numerator) Proof for S[n/n!] = e based on S[1/n!] = e S[m/m!] = S[1/(m-1)!] Let n = m-1, then m=n+1 S[1/(m-1)!] = S[1/n!] = e Therefore S[n/n!] = e ============================================================================ Proof for S[n^2/n!] = e based on S[n/n!] = S[1/n!] = e S[m^2/m!] = S[m/(m-1)!] Let n = m-1, then m=n+1 S[m/(m-1)!] = S[(n+1)/n!] = S(n/n!) + S(1/n!) = e + e = 2e Therefore S[n^2/n!] = 2e ============================================================================ Proof for S[n^3/n!] = 5e based on S[n^2/n!] = 2e & S[n/n!] = S[1/n!] = e S[m^3/m!] = S[m^3/(m-1)!] Let n = m-1, then m=n+1 S[m^2/(m-1)!] = S[(n+1)^2/n!] =S[(n^2 + 2n +1)n!] = S[n^2/n!] + 2*S[n/n!] + S[1/n!] We know from above that S[n^2/n!] = 2e, S[n/n!] = S[1/n!] = e Substituting above, we get =2*2e + 2*e + e =5e Therefore S[n^3/n!] = 5e Q.E.D ============================================================================ Similarly, we can prove that S[n^4/n!] = 15e S[m^4/m!] = S[m^3/(m-1)!] Let n = m-1, then m=n+1 S[m^3/(m-1)!] = S[(n+1)^3/n!] = S[(n^3 + 3n(n+1) + 1)/n!] =S[n^3/n!] + 3*S[n^2/n!] + 3*S[n/n!] + S[1/n!] We know from above that S[n^3/n!] = 5e, S[n^2/n!] = 2e & S[n/n!] = S[1/n!] = e Substituting above, we get =5e + 3*2e + 3*e + e =5e + 6e + 3e + e =15e Therefore S[n^4/n!] = 15e Q.E.D ============================================================================ Following the above derivations, we can easily see that the general formula for S_k would be a binomial series expansion Let S_k = S[n^k/n!] S_k = S[m^k/m!] = S[m^(k-1)/(m-1)!] Let n = m-1, then m=n+1 => S_k = S[(n+1)^(k-1)/n!] => S_k+1 = S[(n+1)^k/n!] But we know (n+1)^k = k_C_0*n^0 + k_C_1*n^1 + k_C_2*n^2 + ... + k_C_k-2 * n^(k-2) + k_C_k-1 * n^(k-1) + k_C_k * n^k , where k_C_p is "k Choose p combinations" => S_k+1 = S[(n+1)^k/n!] = S[(k_C_0*n^0 + k_C_1*n^1 + k_C_2*n^2 + ... + k_C_k-2 * n^(k-2) + k_C_k-1 * n^(k-1) + k_C_k * n^k)n!] => S_k+1 =k_C_0*S[1/n!] + k_C_1*S[n/n!] + k_C_2*S[n^2/n!] + ... + k_C_k-2*S[n^(k-2)/n!] + k_C_k-1*S[n^(k-1)/n!] + k_C_k*S[n^k/n!], where k_C_p is "k Choose p combinations" Since we would have calculated the values from S_0 to S_k, we can calculate the value of S_k+1 from the above general formula
chatgbt sent me here I SWEAR TO GOD I GOT RICKROLLED BY CHAT GBT WTF
For the first one, an alternative argument: Let’s say you fix two vertices of a triangle. The loci of points that will form a triangle with perimeter 12 is an ellipse. Clearly an ellipse has maximum ‘height’ at the centre between two foci, so we know to maximise the area, the triangle should be isosceles. By symmetry, the triangle must be equilateral.
@@amansparekh that's a cool argument I'd not considered, nice!
k*k! =(k+1-1)*k! =(k+1)*k!-k! =(k+1)!-k! The telescoping sum equals (n+1)!-1.
2024 is not special here
@@xaxuser5033 yes, essentially. I guess it's 'special' in the sense 2024≥4.
As the integral from 0 to 1 of x^2 is smaller or equal to 1/n(xn), when you take the limit of n going to infinity, the rectangle's bases shrink down to zero, and the sum of their areas fit perfectly under the curve. That means that when you take the limit as n approaches infinity, 1/n(xn) fits on the Rieman sum definition of x^2 from 0 to 1. Therefore, the sum shall be exaclty 1^3/3 - 0^3/3 = 1/3
hello jpi , im in y12 and have a few questions. When do u think is good time to start practicing for the mat, and do you think bmo problems will help with it or anything else for that matter? Because even though my school doesnt compete , ive been doing bmo problems in my spare time (very inconsisitently) for over a year and have gotten quite good at them. I think if i dedicate myself to them i can get to point where i can do some bmo2 problems, which is why im wondering if that will help with anything? Will the problem solving carry over into uni as ive heard oxbridge maths is very problem solvy like bmo problems. Is there anyhting else i can do currently to help with the mat? Ive done a few long form questions from recent papers and found them quie straight forward so thats probably a good sign. So yeah, when to start with mat practice, and do bmo problems help with much outside of competition maths? Thanks!!
if you are y12 you probably should have already taken the mat and applied to uni
Year 13s would have taken the mat and applied , year 12s only started college 3 months ago
BMO problems are good, but definitely not the best way to prepare. For the time being it's better than nothing. Your focus should be to try and learn the Y12 content well (e.g. make sure you fully understand why/where each formula is derived from, even if this isn't required as per the A-Level syllabus). Then, you maybe want to look at some past papers such as MAT, TMUA, STEP1. Don't worry about doing them under timed conditions just yet, focus on really understanding the solution and ensuring you can explain it to someone else.
You don't really do problem solving in the same way at uni, it's more learning concepts and then tackling problems about these concepts
@@wjeksababakqabzzhzaab873 ok, the uk system is pretty weird then 😂
I just added sum of n! and then it becomes a sum up to (n+1)! and it goes from there
trop facile
de tête :1/3. trop facile !
Really cool and really simple. I like it.
@@m41437 I appreciate that, thank you!
Please keep posting them even after the admissions cycle ends! They are really interesting problems to just solve for fun!!!❤
@TM-ln5mr don't worry, I've got plenty more videos coming!
I originally misread the problem as "the person who removes the last sweet is the WINNER", and spent a good 15 minutes double checking why my answer was different than yours (I didn't watch the video yet, only peeked at your solution). Now everything looks good. By the way, the result I got for that different problem was the sequence 2,5,11,23... which is described by the recursion a_(n+1) = 2a_n + 1 (the explicit solution is a_n = 3*2^n - 1). It's interesting how that version of the game would be even more unfair to the 2.nd player, as the numbers are even sparser.
The 'Telescope' method seems to be a really clean method of proof, though it requires catching the insight about the successive terms. For the kth term: k.k! = (k+1).k! - k! = (k+1)! - k! As such, each successive value in the series cancels out the first term from the previous value. The only uncancelled values then are the highest (N+1)! and the -1! from the first value. As such: S(n) = (n+1)! - 1 Interestingly, this also works for the '0th' term. S(0) = 0, which makes sense, as (0)0! = 0 The chart method to start off definitely is a good plan, regardless.
@@HeavyMetalMouse telescoping is good!!
it can be easily proved using induction
@@sudoku_891 yes, I think that would make for a good video
I solved it using the same symmetrization trick too. I remembered that the same thing is used for example when calculating the definite integral (from 0 to pi/2) of sqrt(tan(x)). There, you can add sqrt(cot(x)), as it is symmetric along x=pi/4, and it makes the rest much easier than if you were to try and compute the indefinite integral.
@@kriegsmesser4567 yep it's a cool trick right? I've seen a fair few integrals like this!
xD i just used lhopital
@vixguy I guess that works, but you still need to know how to simplify the sum, right?
@JPiMaths yes! :)
Actually when n is large (n > 10), you don't have to remember all these formulae. A very good approximation is as follows : Sum(n) ~= n^2/2 Sum(n^2) ~= n^3/3 Sum(n^3) ~= n^4/4 In General Sum(n^k) ~= n^(k+1)/(k+1) Ring a bell ? It should... Coz the approximation is derived from our famous anti-derivate of power function Integral (x^n) = x^(n+1)/(n+1)
@@agytjax ok that's quite cool, I'd not seen than before
@@JPiMaths - Glad it was useful 😀
Your kidding with us. This problem is so easy that it didn't take 10 seconds of my time. This wouldn't be asked in a hard exam. This question is too easy. Btw the answer is (n+1)!-1
You smell
@@CallMeIcebrick yeah I know😂. I guess some questions are solvable and some are very hard. There is no easy questions. Even at the easiest ones you should think for a while. So this question may be asked. Because it takes even a little while to answer
No. That’s why I studied english there instead
@@rabbitrun777 😂😂😂
My solution was to just rewrite the "k" in the sum as (k+1)-1, which splits the sum into 2 sums of pure factorials that are slightly offset from each other: Sum((k+1)!) - Sum(k!). Most of the terms cancel out and only the (N+1)! - 1 remains. Interestingly, while the difference of these factorial sums is easy to get, the individual sums seem to be much harder to get an exact formula for. I tried a few methods, including the derivative trick, but I can't seem to get anything very useful.
@@kriegsmesser4567 what do you mean by the derivative trick?
@@JPiMaths It likely has an official name that I'm not aware of, so it's probably best to show with an example: Suppose you want to evaluate something like S_0 = Sum(k*2^k) where k goes from 1 to N. Instead of attacking the sum directly, you can look at a different sum: S_1 = Sum(x^k), which is a sum of functions. Now, S_1 is just the geometric series, so its result is the well known S_1 = (1-x^(N+1)) / (1-x). Now, suppose we differentiate S_1 with respect to x and evaluate at x = 2. We have an option of differentiating before and after calculating the sum. If we differentiate and evaluate before summing, we get (1/2)*Sum(k*2^k) = (1/2)S_0. On the other hand, if we differentiate after summing, we get 1+(N-1)*2^N. Since our sums are finite, the summation and derivative definitely commute, and these two results must be equal. So, we have S_0 = 2*(1+(N-1)2^N). In general, the trick is applicable whenever we want to sum (polynomial)*(exponential). A similar trick can be done for things like summing (5^(-k))/(2k+1) from 0 to infinity, but then you get an integral instead of a derivative (finite sums of that form are a bit harder as the integral can get complicated, so it isn't as useful). However, in the case of summing factorials, this trick doesn't really help, as we just loop back to the starting point.
@@kriegsmesser4567 Ah yes, thanks for explaining. I am aware of the trick, but I also don't think it has an official name
Nice problem, love these videos!
So basically you solve it by knowing the answer from the book. Nice! :)
No, you just poke and prod the relationship and then yes proof by induction. If you do enough proofs it becomes second nature
I solved it in a different way. S = Σk(k!) = Σ(k+1-1)(k!) = Σ(k+1)(k!) - Σ(k!)= Σ(k+1)! - Σ(k!) = 2!-1!+3!-2!+4!-3!..... Starting from 2!, all terms get cut off except -1! and (n+1)!. So, answer is S = (n+1)! - 1
@pradhyunmudaliar6606 this is a nice solve too!
@@JPiMaths Thanks!
One of my favourite things about math is all the different approaches one can take to a problem. I personally started by using the fact that k*k!=k^{2}*(k-1)! (and the fact that 0!=1=1!), set that as my S_{k}, and then used induction to get S_{k+1}=S_{k}+[(k+1)^{2}*k!]. I think your way was more clever. I never would have thought of the S_{k}=(k+1)!-1 equivalence. Very nice proof. EDIT: One of my least favourite things about math is getting caught up in side work and forgetting the plot. I used induction to get each individual term. Ha. Once I actually added all the terms up, I saw your proof better.
@@jonathanevenboer ah yes you ended up just calculating what you originally had calculated. But yes, you'll get better at staying on track with a problem over time.
@@JPiMaths Lol. I'm a grad student in math. I was at the tail end of a night-long session of finding charts to prove a pair of pants is a Riemann Surface. It was brain fatigue more than a beginner's mistake. I left my mistake up (hence the edit and not a deletion) for others who might make the same mistake (or at least a similar mistake).
I tried solving the question before watching the video. I solved it a different way. After playing around, I noticed that Σ(k+1)! = Σ(k+1)k! = Σk(k!) + Σk! Or rewritten, Σk(k!) = Σ(k+1)! -Σk!. But the RHS is simply a telescoping sum, which gives the result you got after doing the method of differences Thank you for such a good question!
@@nukeeverything1802 bingo! Nice spot!!
I'm confused that why we need p>2max{|b_i|}. If we only need b_i != 0 (mod p) then i think p > max{|b_i|} is enough. It doesn't seem to mentioned in your proofs
great videos!! i had my cambridge maths interviews last week and these videos were helpful in helping me think to use more abstract techniques 👍
@@jakehawkins2158 I'm glad! Hoping your interviews went smoothly! Which college was it at??
@ thank you!! it was at king’s college 👍
Hey I like your channel, nice problems. I like looking at you because you remind me of Ramanujan😭😂
@alphazero339 haha thank you. What exactly about me reminds you of Ramanujan? 😅
@JPiMaths I'm not sure maybe you seem smart and solve nice series and from pictures of him I saw its also little similar XD
You put Worcester college in the thumbnail, is that the college you attended?
@Theproofistrivial I was at Christ Church!
I got asked a problem very similar to one in the TBO booklet in my interview today! Thank you ❤
@Theproofistrivial ah nice! Hoping the interview went well! Which problem was it?
cool trick but relying on "a well known result" sounds kinda odd to me. Even more when this result is so technical to prove rigoursouly. Great trick nonetheless
@loickbf1225 ah yeah, there are lots of videos explaining this result (including one of my first ever uploads!) so I thought it wouldn't be worth deriving in this video.
J Pi you are the guy!!! Just finished my 3rd Oxford maths interview like 2 hours ago and all your videos on interview problems helped me so so much, especially with explaining my reasoning. No matter the result I'm super grateful for your help thank you!!!
@@ryankelly9772 amazing stuff! I'm sure you smashed it!!! You're welcome, and hopefully it all goes well!! Which colleges did you have interviews with?
@@JPiMaths Balliol and Catz 😁
@@ryankelly9772 ah nice! Let me know how it goes 🤞🤞🤞
My method: the area of the triangle is the base |AB| times the height, and the heigh is just the distance from C(t,t²) to the line AB. AB is given by -2x+3y+4=0, so the distance from C to AB is just (-2t+3t²+4)/sqrt(13). This is always positive, and minimal when t = 1/3 (by taking the derivative or completing the square)
@@skylardeslypere9909 nice solve!
Fantastic
I did it the first way but had to derive the formula for the sum of the first n squares by hand (knowing it has to be some polynomial of degree three)
Ah yes, I can never remember the formula beyond the sum of cubes, but it's good to know how to derive it!
@@JPiMaths There's a very neat little trick that makes deriving these sum formulas relatively painless. The sums of the "incrementing" form k*(k+1)*(k+2)*...*(k+m-1) behave almost exactly like integrals of x^m. For example (The following sums are all from 1 to N): Sum(k) => N(N+1) / 2 Sum(k(k+1)) => N(N+1)(N+2) / 3 Sum(k(k+1)(k+2)) => N(N+1)(N+2)(N+3) / 4 ... It's almost the same as when you have an integral of powers of x^m: just add another x and divide by the exponent (the only difference is that you add (N+something) instead of just N, so that the form still remains "incrementing"). Here's how it would work for the sum of squares: We have Sum(k^2), which we need to write as a combination of the "incrementing" sums I mentioned. So, we can write it as: Sum(k^2) = Sum(k(k+1)) - Sum(k). Both of these are incrementing sums, and we can evaluate each one directly through the "integral like" rules. The first gives us N(N+1)(N+2) / 3, and the second gives us N(N+1) / 2. Then we just calculate the difference and get N(N+1)(2N+1) / 6. There's a very closely related tabular method (I think it's attributed to Newton and someone else, but can't remember who) which can easily shred through any such polynomial sum without much thinking.
Another nice way to solve it: imagine stacking up small cubes of side length one in a big cube of side length n. As n tends to infinity, the sum of squares tends to a pyramid, which has volume a third of the cube
Ah nice solve, I like this method!
I did this the long way, I said that a² and 9a² must be roots of the biquadratic, which has solutions x² = ((3m+2)±sqrt(5m²+12m+4))/2. And so, the larger root (+) must be9 times the smaller root (-), which also gives the quadratic 19m²-108m-36=0
My interview is today, thank you for the videos
No worries! How did it go?
y=2/3x-4 C:y=-3/2(x-x0)+x0² x=24/13+9/13x0+6/13x0² h=√13|11 2/3+3(x0-1/3)²|/13≥35√13/39 S=35/3
I think one really nice quality of your teaching is how much time you apend making observations about the problem before your atart your calculations. It really invites some reflection on what are some natural restrictions to work within and feells creative. Realizing this is something i want to do more of in my own teaching. Great problem!
I really appreciate this comment thank you! I think making observations before diving into a problem is great for building your solving ability but also great interview etiquette.