Challenge Math Challenge - March 2020

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The Math Challenge - March 2020 features a variety of mathematical problems, many of which have been solved by forum members. Key discussions include proving inequalities involving trigonometric functions, demonstrating properties of continuous functions, and evaluating integrals. Participants also explore topics in linear algebra, injective functions, and modular arithmetic, with several users providing detailed solutions and corrections to each other's work. The collaborative nature of the forum fosters a rich exchange of ideas and techniques for tackling complex mathematical challenges. Overall, the thread highlights the community's engagement with advanced mathematical concepts and problem-solving strategies.
  • #61
Infrared said:
Those classical theorems of calculus (IVT, MVT,...) aren't true if you restrict the domain to be only rational numbers.

For example, consider the function ##f(x)=x^3-x## Then ##f(0)=f(1)=0##, but ##f'(x)=3x^2-1## does not have rational roots.
Yes, I agree with that. My proof of question 13 by Rolle's Theorem is flawed. Thank you @archaic and @Infrared
 
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  • #62
One last try for question 13.

I have just remastered that quadratic proof which was flawed.
Here is my last try.
 
  • #63
fresh_42 said:
You must have nightmares with BCH! I don't see a mistake, although I haven't checked the details of your last recursion which led to ##5.01##.

The proof I have is essentially the same, only a bit lazier with the commutators and the estimation. I add it here, for the sake of completeness - and because it is not really different.

For a vector ##\alpha \in \{\,0,1\,\}^n## we define
$$
S(\alpha) := \prod_{k=1}^n A^{1-\alpha_k}B^{\alpha_k}
$$
Each of these vectors can be sorted in an ascending order in ##n^2## steps, e.g. with Bubble sort, until ##S(\alpha_{Sort})=A^{n-|\alpha|}B^{|\alpha|}## where every commutation between ##A,B## results in an additional term ##[A,B]=AB-BA\,:##
$$
S(BA)-S(AB) = BA - AB = -[A,B]
$$
or with an example which needs more steps:
\begin{align*}
\begin{bmatrix}\alpha_0=(1,0,1,0)\\S(\alpha_0)=BABA \end{bmatrix} &\longrightarrow \begin{bmatrix}\alpha_1=(0,1,1,0)\\S(\alpha_1)=ABBA \end{bmatrix} \\
S(\alpha_0)-S(\alpha_1)&=(BA-AB)BA=-[A,B]BA \\
\begin{bmatrix}\alpha_1=(0,1,1,0)\\S(\alpha_1)=ABBA \end{bmatrix} &\longrightarrow \begin{bmatrix}\alpha_2=(0,1,0,1)\\S(\alpha_2)=ABAB \end{bmatrix} \\
S(\alpha_1)-S(\alpha_2)&=AB(BA-AB)=-AB[A,B] \\
\begin{bmatrix}\alpha_2=(0,1,0,1)\\S(\alpha_2)=ABAB \end{bmatrix} &\longrightarrow \begin{bmatrix}\alpha_3=(0,0,1,1)\\S(\alpha_3)=AABB \end{bmatrix} \\
S(\alpha_2)-S(\alpha_3)&=A(BA-AB)B =-A[A,B]B
\end{align*}
So every sorting step produces a factor ##[A,B]##, which combined with the assumption ##\|A\|,\|B\|\leq 1## means ##\|S(\alpha_k)-S(\alpha_{k+1})\| \leq \left\|\,[A,B]\,\right\|## and
$$
\|S(\alpha)-S(\alpha_{Sort})\| \leq \sum_{k=0}^{n^2-1} \|S(\alpha_k)-S(\alpha_{k+1})\| \leq n^2\cdot \|\,[A,B]\,\|
$$
\begin{align*}
e^{A+B} &= \sum_{n=0}^\infty \dfrac{1}{n!} (A+B)^n=\sum_{n=0}^\infty \dfrac{1}{n!} \sum_{\alpha\in \{0,1\}^n} S(\alpha)\\
e^A\cdot e^B&= \left(\sum_{n=0}^\infty \dfrac{A^n}{n!}\right)\cdot\left(\sum_{n=0}^\infty \dfrac{B^n}{n!}\right)= \sum_{n=0}^\infty \sum_{k=0}^n \dfrac{A^{n-k}}{(n-k)!}\cdot \dfrac{B^k}{k!}\\
&=\sum_{n=0}^\infty \dfrac{1}{n!} \sum_{k=0}^n \binom{n}{k}A^{n-k}B^k = \sum_{n=0}^\infty \dfrac{1}{n!} \sum_{\alpha\in \{0,1\}^n} A^{n-|\alpha|}B^{|\alpha|}\\
&= \sum_{n=0}^\infty \dfrac{1}{n!} \sum_{\alpha\in \{0,1\}^n} S(\alpha_{Sort})
\end{align*}
With these equations we get
\begin{align*}
\|\;e^{A+B}-e^A \cdot e^B\;\| &\leq \sum_{n=0}^\infty \dfrac{1}{n!} \sum_{\alpha\in \{0,1\}^n} \|\;S(\alpha)-S(\alpha_{Sort})\;\|\\
& \leq \sum_{n=0}^\infty \dfrac{2^n}{n!} \cdot n^2\cdot \|\,[A,B]\,\|\\
&= 6e^2 \cdot \|\,[A,B]\,\|
\end{align*}

So this Bubble sort thing...Say there are ##n## positions for the ##0##'s and ##1##'s. A first cycle of comparisons, where you compare every pair of adjacent elements and swaps their positions :

\begin{align*}
(\underbrace{1,0},0,1 \dots, 0,0) & \rightarrow (0,1,0,1 \dots, 0,0)\\
(0, \underbrace{1,0},1 \dots, 0,0) & \rightarrow (0,0,1,1 \dots, 0,0)\\
(0, 0,\underbrace{1,1} \dots, 0,0) & \rightarrow (0,0,1,1 \dots, 0,0)\\
\vdots \\
(0, 0,1,1, \dots, \underbrace{1,0}) & \rightarrow (0,0,1,1, \dots, 0,1)
\end{align*}

inevitably leads to a ##1## in the last position after ##n-1## comparisons (unless they are all ##0##). Meaning in a second cycle we need only consider ##n-2## comparisons. In a third cycle we need only consider ##n-3## comparisons. And so on. The total number of comparisons needed is then ##(n-1)+ (n-2) + \cdots 1 = {n(n-1) \over 2}##. You can then say:

\begin{align*}
\|\;e^{A+B}-e^A \cdot e^B\;\| & \leq \sum_{n=0}^\infty \dfrac{2^n}{n!} \cdot {n(n-1) \over 2} \cdot \|\,[A,B]\,\|\\
&= 2e^2 \cdot \|\,[A,B]\,\| .
\end{align*}

Is this right?
 
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  • #64
Seems right, but as mentioned earlier, this was only a step towards Trotter's formula in problem 10. For its proof we only need a finite value, so there isn't any optimization on the sorting algorithm. ##n^2## is a trivial upper bound, not the lowest upper bound.
 
  • #65
fresh_42 said:
5. Find the area of the shape ##T## which is surrounded by the line ##|a_1 x + b_1 y + c_1| + |a_2 x + b_2 y + c_2| = m , m \gt 0## (given that ##a_1 b_2 - a_2 b_1 \neq 0##). (QQ)

The solution of the equation ##|a_1 x + b_1 y + c_1| + |a_2 x + b_2 y + c_2| = m , m \gt 0## consists of points lying on 4 line segments that form a parallelogram. The vertices of this parallelogram are defined by intersection between the lines ##|a_1 x + b_1 y + c_1|= m, |a_1 x + b_1 y + c_1|= -m, |a_2 x + b_2 y + c_2|= m## and ##|a_2 x + b_2 y + c_2|= -m##, i.e. the enclosed shape ##T## is a parallelogram formed by finite area intersection between 2 infinite area regions, region 1 consisting of the all points between parallel lines ##|a_1 x + b_1 y + c_1|= m## and ##|a_1 x + b_1 y + c_1|= -m##, and region 2 consisting of the all points between parallel lines ##|a_2 x + b_2 y + c_2|= m## and ##|a_2 x + b_2 y + c_2|= -m##.

The area of this parallelogram can be found using the absolute value of cross product between 2 vectors that correspond to any pair of adjoining edges of the parallelogram and have the common as their source point. The value I get for area of ##T## by calculating this way is ##\left| \dfrac {2m^2} {a_2 b_1 - a_1 b_2}\right|##

Some details on how I found that the enclosed shape is a parallelogram. Solution to ##|a_1 x + b_1 y + c_1| + |a_2 x + b_2 y + c_2| = m## is the set made of all possible solutions to the pair of equations ##a_1 x + b_1 y + c_1 = z, a_2 x + b_2 y + c_2 = m - |z|## and all possible solutions to the pair of equations ##a_1 x + b_1 y + c_1 = z, a_2 x + b_2 y + c_2 = |z| - m##, both pairs evaluated for all ##z \in [-m, m]##.

For the 1st pair, the solution for any fixed value of ##z## is of the form ##y = \dfrac {a_1 c_2 - a_2 c_1 - a_1 m + a_2 z + a_1 |z|} {a_2 b_1 - a_1 b_2}##, ##x = \dfrac {-b_2 z + b_2 c_1 - b_1 c_2 + b_1 m - b_1 |z|} { a_2 b_1 - a_1 b_2}##.
Considering separately values of ##z \in [0,m]## and ##z \in [-m, 0)##, we find that overall solution for that equation pair consists of all points on the line segment between points (in ##X-Y## coordinates) between ##p_1## and ##p_3## and all points on the line segment between ##p_1## and ##p_3## where ##p_1= \left( \dfrac {b_2 c_1 - b_1 c_2 + b_1 m} {a_2 b_1 - a_1 b_2}, \dfrac {a_1 c_2 - a_2 c_1 - a_1 m} {a_2 b_1 - a_1 b_2} \right)##, ##p_2 = \left( \dfrac{-b_2 m + b_2 c_1 - b_1 c_2} {a_2 b_1 - a_1 b_2} , \dfrac {a_1 c_2 - a_2 c_1 + a_2 m} {a_2 b_1 - a_1 b_2} \right)## and ##p_3 = \left( \dfrac {b_2 m + b_2 c_1 - b_1 c_2} {a_2 b_1 - a_1 b_2}, \dfrac {a_1 c_2 - a_2 c_1 - a_2 m} {a_2 b_1 - a_1 b_2} \right)##. The 3 points correspond to values ##0, m \text { and } -m \text { for } z##.

Similarly, we can calculate the solutions for the 2nd equation pair and we find that it too consists of points on 2 line segments and each segment includes either the point ##p_2## or point ##p_3## obtained for 1st equation pair and that the 4 line segments form a parallelogram can be confirmed by looking at the slopes of the 4 line segments - it consists of 2 pairs of parallel line segments and the pairs intersect each other.
If we compute ##\vec A## corresponding to vector from ##p_1## to ##p_2## and ##\vec B## corresponding to vector from ##p_1## to ##p_3## and calculate the cross product ##\vec A \times \vec B##, we get the area of the enclosed parallelogram to be ##\left| \dfrac {2m^2} {a_2 b_1 - a_1 b_2}\right|##
 
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  • #67
Pony said:
I don't like how the solution of the 2nd problem points to https://www.physicsforums.com/threads/math-challenge-march-2020.984960/page-2#post-6306971 . That answer is very misleading. It only contains the trivial part of the problem and it does not even notice that this problem may be very very very difficult. @suremarc can you edit your answer?
I agree that the answer is misleading, since applying invariance of domain means you need only prove injectivity; in that case the proof can be stated in two lines...

Unfortunately, I can’t edit my post anymore, since editing is disabled after a certain period of time.
 
  • #68
Pony said:
I don't like how the solution of the 2nd problem points to https://www.physicsforums.com/threads/math-challenge-march-2020.984960/page-2#post-6306971 . That answer is very misleading.
suremarc said:
I agree that the answer is misleading, since applying invariance of domain means you need only prove injectivity; in that case the proof can be stated in two lines...

Unfortunately, I can’t edit my post anymore, since editing is disabled after a certain period of time.
I split the link to both posts.
 
  • #69
For problem 5,
##\text{Area}=(\frac{m}{a_1b_2-a_2b_1})^2\sqrt{(A_1^2+B_1^2)(A_2^2+B_2^2)-(A_1A_2+B_1B_2)^2}##
where ##A_1=a_1+a_2## and ##A_2=a_2-a_1## and likewise for B in terms of b
Sorry I didn’t simplify all the way or explain because it was tedious and I think I might’ve made an error.
 
  • #70
@archaic You have an algebra mistakes. You should have ##3x_1^2=\frac{8q^2-p^2}{q^2}##. The approach is definitely fine though.
 
  • #71
fresh_42 said:
4. Let ##k## be a field that is not algebraically closed. Let ##n\geq 1##. Show that there exists a polynomial ##p\in k[x_1,\ldots,x_n]## that vanishes only at the origin ##(0,\ldots,0)\in k^n##. (IR)

Since ##k## is not algebraically closed, we can find a polynomial ##p\in k[x]## with no zeroes.

Now we construct a new polynomial ##p_h(x,y)## by homogenizing: ##p_h(x,y)=y^dp(\frac{x}{y})##, where ##d## is the degree of ##p(x)##. One can show that this is a well-defined polynomial, and in addition it vanishes only at the origin: suppose ##p_h(x_0,y_0)=0##. Clearly this implies that ##y=0##: we have ##p_h(x_0,y_0)=y_0^dp(\frac{x_0}{y_0})=0\Rightarrow y_0=0\lor p(\frac{x_0}{y_0})=0##. Since ##p## has no zeroes, it then must be true that ##y_0=0##. But ##p_h(x_0,0)=cx_0^d## (the leading term) which only vanishes when ##x_0=0##. Hence we have shown that ##x_0=y_0=0## and we are done.

Now we use ##p_h## to inductively prove the existence of polynomials in arbitrarily many variables which vanish only at 0. Suppose ##Q(x_1,\ldots,x_n)## vanishes only at 0. Then ##Q(x_1,\ldots,p_h(x_n,x_{n+1}))## is a polynomial in n+1 variables that vanishes only at 0, because ##Q(x_1,\ldots,p_h(x_n,x_{n+1}))=0\iff x_1=\ldots=p_h(x_n,x_{n+1})=0##. But ##p_h(x_n,x_{n+1})=0\iff x_n=x_{n+1}=0##.

We have shown that, if there exists a polynomial in n variables that vanishes only at 0, there also exists a polynomial in n+1 variables that vanishes only at 0. Taking the monomial ##x## for ##n=1## as the base case, this proves that there exist polynomials in any number of variables that vanish only at 0. ##\square##
 
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  • #72
@suremarc Looks perfectly correct to me!

I'll just remark that the converse is basically obvious: If ##n>1## and ##p\in k[x_1,\ldots,x_n]## vanishes only at a single point, then ##k## must not be algebraically closed. So this gives an equivalent condition for a field (not) being algebraically closed.
 
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  • #73
Hiero said:
For problem 5,
##\text{Area}=(\frac{m}{a_1b_2-a_2b_1})^2\sqrt{(A_1^2+B_1^2)(A_2^2+B_2^2)-(A_1A_2+B_1B_2)^2}##
where ##A_1=a_1+a_2## and ##A_2=a_2-a_1## and likewise for B in terms of b
Sorry I didn’t simplify all the way or explain because it was tedious and I think I might’ve made an error.

You can see the correct answer in the spoiler of post #65 by Not anonymous. In any case I don't see how you reached your answer.
 
  • #74
Just to point out another way to do 65 since it's already been solved: Let ##P## be the region we want the area of. The transformation ##(x,y)\mapsto (u,v)=(a_1x+b_1y+c_1,a_2x+b_2y+c_2)## is diffeomorphism from ##P## to the region bounded to the square ##|u|+|v|= m##. The Jacobian determinant ##a_1b_2-a_2b_1##. The area of the square ##|u|+|v|\leq m## is ##2m^2##, so by the change of variables formula,

##2m^2=\int_{|u|+|v|\leq m} du dv=\int_P |a_1b_2-a_2b_1| dx dy##

Dividing by the Jacobian gives the desired area of ##P##. This is really the same as @Not anonymous's answer since computing the Jacobian is equivalent to taking a cross product, but maybe it's helpful to see anyway and shows the idea of the change of variables formula: applying a linear map to a region scales the area/volume by the determinant (and to the first order, applying a function is the same as multiplying by its Jacobian matrix, up to translations).
 
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  • #75
Infrared said:
@archaic You have an algebra mistakes. You should have ##3x_1^2=\frac{8q^2-p^2}{q^2}##. The approach is definitely fine though.
Sir, I think it was my solution :biggrin:. It was a minor typo I think. Is everything all right except that typo?
 
  • #76
I still don't think it's right. It looks like to me that you're claiming that since ##3## divides ##8q^2-p^2##, it must divide both ##8q^2## and ##p^2.## I don't see why this should be true without further argument. For example, ##3## divides ##1+5## but not ##1## or ##5##.

Also, in the future, please write your solutions in your post- I'd rather not have to follow links.
 
  • #77
Generalisation:
Let's look at ##f(x) = x^3 - px##, where ##p## is prime.

We'll look for ##f(x) = f(y)##, where ##x = \frac a b, \ y = \frac c d## are in the lowest form.
$$f(\frac a b) = f(\frac c d) \ \Rightarrow \ \frac{a(a^2 - pb^2)}{b^3} = \frac{c(c^2 - pd^2)}{d^3}$$

Note that ##\frac{a(a^2 - pb^2)}{b^3}## is also in its lowest form, so we have ##b = d##. And:
$$a(a^2 - pb^2) = c(c^2 - pb^2) \ \Rightarrow \ a^2 + ac + c^2 = pb^2 \ \Rightarrow \ (2a+c)^2 = 4pb^2 - 3c^2$$
So, we need solutions to:
$$4pb^2 - n^2 = 3c^2$$
Where ##n = 2a + c##.

We have solutions for ##p = 3##. Namely, ##x = -2, y = 1## and ##x = -1, y = 2##.

Otherwise, note that neither of ##b, n## can be divisible by ##3## without ##b, c## having a common factor of ##3##. Hence ##b^2 = n^2 = 1 \ (mod \ 3)## and we have:
$$p = 1 \ (mod \ 3)$$
For example, we have no solutions for ##p = 2, 5##, but we have a triple solution for ##p = 7##:
$$x= -3, y = 1, z = 2\ \ \text{with} \ f(x) = f(y) = f(z) = -6$$
 
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