Math Challenge - October 2021

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Discussion Overview

The discussion revolves around a series of mathematical problems and challenges, primarily focusing on functional analysis, set theory, group theory, and various proofs related to algebra and calculus. Participants engage with specific problems, propose solutions, and explore related concepts.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested
  • Homework-related

Main Points Raised

  • Participants discuss the compactness of the operator defined in problem 1 and its implications in functional analysis.
  • In problem 2, some participants reference the colorful Carathéodory theorem and its applications, while others seek clarification on the notation used in problem 3.
  • Problem 3 prompts a discussion about the axiom of separation and its implications for set theory, with some participants correcting typographical errors in their previous messages.
  • Problem 5 is addressed with references to the general Heisenberg Lie algebra and its properties, including nilpotency and related theorems.
  • In problem 6, participants explore the bijection defined by the polynomial and discuss its increasing behavior and surjectivity, referencing the Theorem of Fueter-Pólya.
  • Questions arise about the meaning of compactness in the context of the function in problem 1 and the concept of surjectivity by foot in problem 6.

Areas of Agreement / Disagreement

Participants express varying levels of confidence in their understanding of the problems, with some agreeing on certain interpretations while others raise questions or propose alternative views. The discussion remains unresolved on several points, particularly regarding the implications of the problems and the definitions used.

Contextual Notes

Some participants note the complexity of the notation and the need for clarity in definitions, particularly in relation to the axiom of separation and the properties of the Heisenberg Lie algebra. There are also unresolved questions about the compactness of functions and the nature of surjectivity in the context of the polynomial discussed.

Who May Find This Useful

This discussion may be useful for students and professionals interested in advanced mathematics, particularly those studying functional analysis, algebra, and set theory, as well as those preparing for mathematical competitions or seeking to deepen their understanding of these concepts.

  • #61
Not anonymous said:
Why does the sequence converge at all? I believe it must converge because of the series is strictly decreasing and it contains only positive values.

When the series is strictly decreasing, the value of successive elements must either keep decreasing without a bound (and so tend to ##-\infty ##) or must decrease indefinitely with some finite bound. Since the series contains only positive values, it cannot touch or drop below zero, meaning 0 acts as a strict lower bound to the limit toward which such a series can tend towards.

Convergence needs a certain property of the real numbers that should be mentioned. I don't want to hear the technical term but the principle. That's why I wrote that a heuristic is sufficient.
 
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  • #62
fresh_42 said:
Extra: (open)

elliptic_curves-png.png

Consider the two elliptic curves and observe that one has two connection components and the other one has only one. Determine the constant ##c \in [1,3]## in ##y^2 = x^3 - 2x + c## where this behavior exactly changes. What is the left-most point of this curve?

In ##y^2 = x^3 -2x + 1##, there are two components (disconnected from one another) because the curve is defined only when ##x^3 -2x + 1 \geq 0## (due to ##y## being the square root of that polynomial in ##x##) and there is a range of ##x##-values (incidentally including ##x=0##) such that ##x^3 -2x + 1## is negative over this range (this is the "gap" between the x-ranges of the two components) but is non-negative for all x-values greater than this range and also for a some range to the left of this gap.

Now, to find the value of constant ##c \in [1,3]## where curves defined by ##y^2 = x^3 - 2x + c## change from containing one component to two components, we use the fact that the .

Let us find the minima of the polynomial ##f(x) = x^3 -2x + 1##. At the minima, ##f'(x) = 0## and ##f''(x) > 0##.
##f'(x) = 3x^2 - 2 = 0 \Rightarrow x = \pm \sqrt{\dfrac{2}{3}}##
##f''(x) = 6x \Rightarrow f''(x) > 0 \iff x > 0##

Therefore ##x=\sqrt{\dfrac{2}{3}}## must correspond to a local minimum point while ##x=-\sqrt{\dfrac{2}{3}}## must correspond to a maximal point.

In the case where the curve ##y^2 = f(x)## consists of 2 components, the minimal value ##f(\sqrt{\dfrac{2}{3}})## must be negative, because otherwise, the ##f(x) < 0## only for ##x < x_1## for some ##x_1 < - \sqrt{\dfrac{2}{3}}## and so the curve be defined for all ##x \geq x_1## and won't have 2 separate components.

##f(\sqrt{\dfrac{2}{3}}) < 0 \Rightarrow \dfrac{2}{3}\sqrt{\dfrac{2}{3}} - 2\sqrt{\dfrac{2}{3}} + c < 0 \Rightarrow c < \dfrac{4}{3}\sqrt{\dfrac{2}{3}}##.
Thus, ##c_0 = \dfrac{4}{3}\sqrt{\dfrac{2}{3}} \approx 1.088662108## is the value of the constant where the change in the nature of the curve (change between consisting of two components vs. one component alone) happens.
(2)​

At the left-most point of the curve ##y^2 = x^3 -2x+c_0##, we must have ##y^2 = y = 0##. We solve for ##x## accordingly.

##x^3 - 2x + c_0 = 0 \Rightarrow x(x^2-2) = -c_0 = -\dfrac{4}{3}\sqrt{\dfrac{2}{3}}##.
(2)​

##x=\sqrt{\dfrac{2}{3}}## is obviously a solution for this equation but it is not the leftmost point. With some trial and error, or informed guesswork, followed by validation, I found that ##x=-2\sqrt{\dfrac{2}{3}}## is the other solution for equation (1). Therefore, ##(x=-2\sqrt{\dfrac{2}{3}}, y=0)## is the left-most point of the curve ##y^2 = x^3 - 2x + \dfrac{4}{3}\sqrt{\dfrac{2}{3}}##
 

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