How Can We Make 100! Divisible by 12^{49}?

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SUMMARY

The discussion centers on determining the least number that must be multiplied to 100! to make it divisible by 1249. The correct answer is 6, derived from the factorization of 100! which contains 297 and 348. To achieve divisibility by 1249 (which equals 298 * 349), one must multiply by 6 (21 * 31). The discussion also touches on the properties of nilpotent matrices and the implications of the trace being zero for all powers.

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  • Understanding of factorials and their properties, specifically 100!
  • Knowledge of number theory, particularly divisibility and prime factorization.
  • Familiarity with matrix theory, including concepts of eigenvalues and nilpotent matrices.
  • Basic understanding of complex numbers and their properties in linear algebra.
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  • Study the properties of factorials and their prime factorization techniques.
  • Learn about divisibility rules in number theory, focusing on powers of primes.
  • Explore nilpotent matrices and their characteristics in linear algebra.
  • Investigate the implications of the trace of matrices and its relation to eigenvalues.
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A Q&A game is simple: One person asks a relevant question (it can be research, calculation, a curiosity, something off-the-top-of-the-head, anything ... as long as it's a math question) and other people try to answer. The person who posts the first correct answer (as recognized by s/he who asked the question) gets to ask the next question, and so on.

Let me start this off with a simple number theory problem :

What is the least number than must be multiplied to 100! (that's a factorial) to make it divisible by 12^{49} ?

(throw in a brief -couple of lines or so- explanation with the answer)
 
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1/(99!*50)
 
Not correct. "Multiplying" by your number gives a "product" of 2 (=100!/50*99!), and 2 is not divisible by 12^{49}.
 
i think i read it backwards...
 
There are 50 factors of 100 divisibile by 2, 25 by 4, 12 by 8, 6 by 16, 3 by 32 1 by 64 so the power of two in 100! is 97.

similiarly there are

33 div by 3, 11 by 9, 3 by 27 and 1 by 81 making 48 times 3 divides, so i guess

2*3^50 will do
 
matt grime said:
There are 50 factors of 100 divisibile by 2, 25 by 4, 12 by 8, 6 by 16, 3 by 32 1 by 64 so the power of two in 100! is 97.

similiarly there are

33 div by 3, 11 by 9, 3 by 27 and 1 by 81 making 48 times 3 divides, so i guess

2*3^50 will do
I'm not sure I follow the finish...

You've shown that 100! has 2^{97} * 3^{48}. And what happened after that ?

In any case : Next question is yours ...
 
Duh, do i feel stupid from typing too quickly whilst someone is talking to me. should have been 6.

Willl think of a question later tonight.
 
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Ok, here's one that I hope isn't too tricky.

Let A be an nxn matrix over C, the complexes.

Suppose that Tr(A^r)=0 for all r. Show A is nilpotent.

All the other ones I could think of were too easily looked up.
 
Quick explanation

Gokul43201 said:
I'm not sure I follow the finish...

You've shown that 100! has 2^{97} * 3^{48}. And what happened after that ?

12^{49}=2^{98}3^{49}, so 100!=2^{97}3^{48}X must be multiplied by 6=2^{98-97}3^{49-48} before 12^{49} will divide it.
 
  • #10
Yes, CRG : matt clarified this in his subsequent post. Thanks !

Back to matt's question :

matt grime said:
Let A be an nxn matrix over C, the complexes.

Suppose that Tr(A^r)=0 for all r. Show A is nilpotent.
 
  • #11
If there's no progress on this after a couple of days i'll post hints. perhaps people should post what they think they need to do. i like tyhe question cos it uses lots of bits from here there and everywhere.
 
  • #12
Well it seems that first you need to show that such a matrix does not have n distinct eigenvectors and then show that not having n distinct eigenvectors implies nilpotents.

The first question relates to the fact that if a matrix had a full set of Eigenvectors then diagonalization gives us that \sum \lambda_i^n =0 for all n>0.

For the second half I would gather you need to consider the vectors not in the span of the Eigenvectors and consider where they may be mapped.

hmmm... that may not be enough for the first half. You may need to also show that any vector that is a eigenvector is in fact in the kernel.

Experimentally it appears like we are dealing with upper or lower triangular matrix if you just assume Tr(A^r) =0 for r=1..n. But that could just be maple not returning all possible answers which it sometimes does.

That's what I've been thinking
 
  • #13
Hrm.

If a matrix A is diagonalizable, then I claim that there exists an n such that all of the nonzero eigenvalues of An lie in the right half-plane. The requirement that Tr(An) = 0, forces all the eigenvalues to be 0, and thus A is zero... clearly nilpotent!

So the trick, then, is when the matrix is not diagonalizable.


Then again, this only works for complex valued matrices.
 
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  • #14
I did state the matrix was over C, though this is largely for conveniece.

And, snobel, the matrix 0 has a full set of eigen values and is certainly nilpotent an satisfies the criterion.
 
  • #15
Oops... of course that is the sole matrix with a full set of 0 eigenvalues and \lambda_i=0 is the sole set of solutions in C satisfying my condition.
 
  • #16
Gokul43201 said:
What is the least number than must be multiplied to 100! (that's a factorial) to make it divisible by 12^{49} ?

Sorry but the correct answer is the rational number 12^49 / 100! , it's smaller than the previous answer of 6 by a factor or approx 10^104.

Ok so here's my QA puzzle : Why is it that mathematicians are worse than the general layperson when it comes to not specifying that they require a whole number solution when that is the case. :p
 
  • #17
If you're going to take that attitude, there is no answer; think negatives.
 
  • #18
uart said:
Ok so here's my QA puzzle : Why is it that mathematicians are worse than the general layperson when it comes to not specifying that they require a whole number solution when that is the case. :p

Because a mathematician will expect the reader to see the words "divisible" and "number theory" and realize that the interesting solution lies in the whole numbers. In fact if you are throwing rationals into the mix, the concept of "divisibility" collapses into something really dull (as with any field). The overlying assumption we're interested in whole numbers here is just like when you saw "least number" you assumed it had to be positive, 0 works fine and is smaller than yours, so is -6, etc.
 
  • #19
shmoe said:
just like when you saw "least number" you assumed it had to be positive.

Actually I didn't assume that it had to be positive but I could see that there was no solution if negatives were included so I took the liberty of further constraining the under-specified problem so that it did have a solution.

Anyway don't take that last post too seriously, it was a wind-up and I did really know that he meant positive integer. :)
 
  • #20
Grimey I see it now.

The trick isn't to diagonalize the matrix the trick is to write it out in the form A=PUP^{-1} where U is upper triangular (I'll post how you know you can do this later). Then the Trace of A^r is just the trace of U^r since A is just a conjugate of U. And of course the trace of U^r=0 is the same as \sum_i d_i^r=0 where d_i are the diagonal elements. Then Hurkyl had the right idea when he said you could find an r such that d_i^r has positive real part. In fact what you can say is that given any finite set of non-zero complex numbers and any \epsilon>0 there exists a positive integer r such |Arg(d_i^r)| < \epsilon. This is either an analysis statement or a number theory statement depending on your interpretation. So U is upper triangular and has a 0 diagonal. There fore A^{n-1}=PU^{n-1}P^{-1}=P0P^{-1}=0 where A is nxn.

So two big statements still to be proven if anybody wants to do them (upper triangulation and |Arg(d_i^r)| < \epsilon or I will write them up when I'm not supposed to be busy working on something else.

How about a new problem.

Lets call a subset A of [0,1] paired if 0,1\in A and for every pair a,b \in A such that a<b and b-a \ne 1 there exists another pair c,d \in A such that c<d and c\ne a and d-c= b-a. Sounds very complicated but all it says is if a set is paired then every distance between points, except 1, occurs twice. An example of a paired set is {0,1/5, 2/5, 4/5, 1}. Notice that the difference 1/5 appears 3 times, 2/5 appears twice and 3/5 appears twice but the difference 1 appears only once.<br /> <br /> Alright, here's the question. Are there any finite (only contains finitely many elements) paired sets such that there exists an irrational number in the set. Give an example or prove why not.<br /> <br /> I will be really impressed if you use Euclidian Geometry.<br /> <br /> Regards,<br /> Steven
 
  • #21
Firstly, you do not need to "prove " it can be put in upper triangular form, this is Jrodan Canonical form.

Whilst you ceratinly have the right idea, please note GOkul's rule that you must wait for me to say if it is correct before posting a new question. I would like to see you, or anyone else, prove that if d_1,..,d_n is a set of complex numbers such that the sum of all the r'th powers is zero for all r, then all the d_i are zero. Please note this statement is true in any field, not just C. The reason I would like to see it is that I think its proof (or at least the one in my mind) is nice, not because I think it is hard. FOr a hint think Newton.
 
  • #22
hmm... I can't do it for a field in general but I can do it for the comlex numbers by induction.

I will prove that given a finite set d_1, d_2, ...,d_n of non-zero complex numbers and \epsilon>0 then there exists a positive integer r such that |Arg(d_i^r)| <\epsilon

Base case
Start with d_1 \ne 0 and \epsilon>0. Then take N>0 such that 2\pi/N < \epsilon. Let c_r = Arg(d_1^r). So there exists an i,j such that 1 \le i < j \le N and dist(c_i, c_j) < \epsilon (note that the distance function I am using is distance between angles on the unit circle so dist(3\pi /4, -3\pi /4) = \pi/2) This is easy to see since there are N angles that can be reordered such that c_{\sigma (1)}\le c_{\sigma(2)}\le ...\le c_{\sigma(N)} so dist(c_{\sigma (1)}, c_{\sigma(2)}) + dist(c_{\sigma (2)}, c_{\sigma(3)}) + \ldots + dist(c_{\sigma (N-1)}, c_{\sigma(N)})+ dist (c_{\sigma (N)}, c_{\sigma(1)}) \le 2\pi so since dist is positive there exists dist(c_{\sigma(k)}, c_{\sigma(k+1)}) \le 2\pi/N < \epsilon.

So since dist(c_i, c_j) <\epsilon then dist(c_{i-1}, c_{j-1}) <\epsilon then dist(c_{1}, c_{j-i+1}) < \epsilon then dist(0, c_{j-i}) < \epsilon. So r=j-i.

Inductive step is straight forward. Given d_1,\ldots, d_{n+1} \ne 0 and \epsilon >0, 1/N < \epsilon take r' such that |Arg(d_i^{r'})| < \epsilon/N for 1 \le i \le n. Then as in BaseCase there exists an r, 1\le r\le N such that |Arg( (d_{n+1}^{r'})^r)| < \epsilon and ofcourse |Arg(d_i^{r'\cdot r})| < r\cdot\epsilon/N <\epsilon

So with the above in mind and given a finite set of complex numbers none equal to zero. Take r |Arg(d_i^r)| < \pi/2. So Re(d_i^r) >0 so Re(\sum d_i^r) >0. Which contradicts \sum d_i^r =0. There fore if \sum d_i^r =0 for all r then d_1=d_2=\ldots =d_n=0

I am curious about how to do this for a general field though. Sorry about jumping the gun posting my question but I really happen to like that question since it doesn't necessarily use the math you expect it would.
 
  • #23
You certainly get to ask that as the next question, and I won't post the answer to it, but I'd like to get this one cleared up.
 
  • #24
Hmm... does the general solution have something to do with taking a field F and n dimensional vector space F^n over F. Then taking the linear functional g: F^n -> F st
g(f1,f2,...,fn) = f1+f2+...+fn. Concluding that the kernel of g must be at most n. But if a1^k + a2^k +... +an^k =0 for all k>1 then (a1^i, a2^i,..., an^i) is orthogonal to (a1^j,...,an^j) using the standard dot product. So either (a1^k,...,an^k) for k from 1 to n is a spanning set or one of the vectors is a 0 vector. If it were a spanning set then the whole space is in the kernel so 1+0+0+...+0 =0 which doesn't make sense. So ai^k =0 for all i. But then ai=0 because a field is a domain.

Can you do that? Can you always use the standard dot product to show orthogonality to show that the set is a spanning set? I think I may have to assume the conclusion to be able to do that.

Man I've got to stop thinking about this and get back to work.
 
  • #25
That isn't what I'd've done, and I'm not sure it'dve worked in anything other than char 0.

The hint to think about what Newton and polynomial might yield has been ignored, so far.
 
  • #26
sigh... clearly mine doesn't work once if I put a little thought into it. [1,-1,i,-i] would be self orthogonal under the standard real dot product which doesn't make sense.
 
  • #27
When you mentioned characteristic 0 did you mean that my method wouldn't work in non-characteristic 0 (evidently it doesn't even work in characteristic 0) or that the theorem as a whole doesn't hold in non-characteristic 0 fields. Because I don't think it does.
 
  • #28
I meant that your inner product idea deosn't hold since the vector (1,1) dots with itselt fo give 0 in char 2. And now I think abouit it the char of the field does need to be restricted: it cannot divide the numbre n if d_1,..,d_n are the diagonal elements of the matrix.

Right, This is getting far too long and complicated.
I think we need an extra rule: no "working through the problem in thie thread". INstead for each new problem a new unsticky thread ought to be started for people ti discuss things in if they so wish.


The answer is: the functions

d_1^r + \ldots +d_n^r

for r = 0 to n is a generating set of the fixed point space of the ring k[d_1,..,d_n] under the action of S_n permuting the subscripts (Newton's identities).

Or they span the symmetirc polynomiials.

Thus if they all (except the zeroeth powers) evaluate to 0 at some point, then alll symmetric polynomials do (except the constants). In particular, the poly d_1d_2..d_n the product of all of the d_i's. Since this is over a field, it follows that wlog d_1 is 0 and the result follows by induction (this fails if the char of the field divides n, eg n=2, 0=x+y=(x+y)^2 = x^2+2xy+y^2=2xy, so fails in char 2)


Now, snoble, you had the right idea, so could you repost you problem. And suggested answers only in the thread, eh?
 
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  • #29
Lets call a subset A of [0,1] paired if 0,1\in A and for every pair a,b \in A such that a<b and b-a \ne 1 there exists another pair c,d \in A such that c<d and c\ne a and d-c= b-a. Sounds very complicated but all it says is if a set is paired then every distance between points, except 1, occurs twice. An example of a paired set is {0,1/5, 2/5, 4/5, 1}. Notice that the difference 1/5 appears 3 times, 2/5 appears twice and 3/5 appears twice but the difference 1 appears only once.

Alright, here's the question. Are there any finite (only contains finitely many elements) paired sets such that there exists an irrational number in the set. Give an example or prove why not.

Steven
p.s. I will post hints only when asked

p.p.s. Your answer needs a little bit of a repair matt. You are actually looking at the subring of the fixed point space that maps (0,0,...,0) to 0. Since you don't have that \sum d_i^0 =0. Just in case you ever plan on giving this out on an assignment.
 
  • #30
Reposting the standing question (from snoble, above) for clarity :

Lets call a subset A of [0,1] paired if 0,1\in A and for every pair a,b \in A such that a<b and b-a \ne 1 there exists another pair c,d \in A such that c<d and c\ne a and d-c= b-a.

Are there any finite (only contains finitely many elements) paired sets such that there exists an irrational number in the set. Give an example or prove why not.




Open to all enthusiasts !

People that recently asked a question are requested to give others a little time (say, a day or two) before jumping in themselves.
 

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