Math Challenge - March 2020

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SUMMARY

The forum discussion centers on a series of mathematical problems posed in the Math Challenge - March 2020, with various users providing solutions. Key problems include proving the inequality ##\cos(\theta)^p \leq \cos(p\theta)## for ##0 \leq \theta \leq \pi/2## and ##0 < p < 1##, and demonstrating that a continuous function ##F:\mathbb{R}^n \to \mathbb{R}^n## satisfying ##||F(x)-F(y)|| \geq ||x-y||## is a homeomorphism. Other notable discussions involve evaluating integrals and exploring properties of injective functions and modular arithmetic.

PREREQUISITES
  • Understanding of inequalities in calculus, specifically trigonometric functions.
  • Familiarity with concepts of continuity and homeomorphisms in topology.
  • Knowledge of integral calculus and techniques such as differentiation under the integral sign.
  • Basic principles of modular arithmetic and number theory.
NEXT STEPS
  • Study the proof techniques for inequalities involving trigonometric functions.
  • Learn about homeomorphisms and their properties in topology.
  • Explore advanced integration techniques, including Feynman's trick.
  • Investigate modular arithmetic and its applications in number theory.
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Mathematicians, students studying advanced calculus and topology, and anyone interested in problem-solving techniques in mathematical analysis.

  • #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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