Can Absolute Value Solve the Problem of Convergence for Inverse Functions?

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Discussion Overview

The discussion revolves around the convergence of inverse functions and the conditions under which the absolute value can be applied to demonstrate this convergence. Participants explore the implications of certain inequalities involving the variables \(y\) and \(y_0\), particularly focusing on the conditions that ensure \(y_0 \neq 0\) and the relationship between \(|\frac{1}{y} - \frac{1}{y_0}|\) and \(\varepsilon\).

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Exploratory

Main Points Raised

  • Some participants propose that if \(y_0 \neq 0\) and \(|y - y_0| < \min\left(\frac{|y_0|}{2}, \frac{\varepsilon |y_0|^2}{2}\right)\), then it follows that \(|\frac{1}{y} - \frac{1}{y_0}| < \varepsilon\).
  • Others argue that the minimum condition is not clearly defined, suggesting that while one of the inequalities holds, it does not necessarily imply the other will not affect the overall inequality.
  • A participant manipulates the expression \(|\frac{1}{y} - \frac{1}{y_0}|\) to relate it to \(|y - y_0|\), indicating that if \(|y - y_0| < \frac{|y_0|}{2}\), then \(y\) must also be non-zero.
  • Another participant questions the conclusion that \(|y| \geq \frac{|y_0|}{2}\) and seeks clarification on the reasoning behind this assertion.
  • Responses clarify that by the triangle inequality, it can be shown that \(|y| > \frac{|y_0|}{2}\) under the given conditions.

Areas of Agreement / Disagreement

Participants express some agreement on the manipulation of inequalities and the implications of the conditions set forth. However, there remains uncertainty regarding the clarity of the minimum condition and the implications of the inequalities, indicating that multiple views are present without a consensus.

Contextual Notes

The discussion includes assumptions about the values of \(y\) and \(y_0\) and their relationships, which are critical to the arguments presented. The dependence on the definitions of the minimum and the conditions for convergence is also noted.

Julio1
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Show that if $y_0\ne 0$ and $|y-y_0|<\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)$, then $y_0\ne 0$ and $\left|\dfrac{1}{y}-\dfrac{1}{y_0}\right|<\varepsilon.$
Hello !, in this case what is the minimum? For example, $\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)=\dfrac{|y_0|}{2}$?
 
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Julio said:
Show that if $y_0\ne 0$ and $|y-y_0|<\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)$, then $y_0\ne 0$ and $\left|\dfrac{1}{y}-\dfrac{1}{y_0}\right|<\varepsilon.$
Hello !, in this case what is the minimum? For example, $\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)=\dfrac{|y_0|}{2}$?

We don't know what is the minimum, that is the point. But we know that one of them is, so the other one will be no less than this value, and thus won't affect any of the inequalities.

If $\displaystyle \begin{align*} \left| y - y_0 \right| < \frac{ \left| y_0 \right| }{2} \end{align*}$, and this is the minimum, then it must also be less than $\displaystyle \begin{align*} \frac{ \epsilon \left| y_0 \right| ^2 }{2} \end{align*}$ and vice versa.
 
Julio said:
Show that if $y_0\ne 0$ and $|y-y_0|<\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)$, then $y_0\ne 0$ and $\left|\dfrac{1}{y}-\dfrac{1}{y_0}\right|<\varepsilon.$
Hello !, in this case what is the minimum? For example, $\min\left(\dfrac{|y_0|}{2},\dfrac{\varepsilon|y_0|^2}{2}\right)=\dfrac{|y_0|}{2}$?

Hi Julio,

To prove the result, assume the hypothesis and manipulate the expression $|\frac1{y} - \frac1{y_0}|$ to a get a term involving $|y - y_0|$ as follows:

$(*) \displaystyle \left|\frac1{y} - \frac1{y_0}\right| = \left|\frac{y_0 - y}{yy_0}\right| = \frac{|y - y_0|}{|yy_0|}$.

These steps will now be justified. Since

$\displaystyle |y - y_0| < \min\left(\frac{|y_0|}{2}, \frac{\varepsilon |y_0|^2}{2}\right)$,

in particular

$\displaystyle |y - y_0| < \frac{|y_0|}{2}$.

This inequality implies $y \neq 0$. Otherwise, $|y_0| < \frac{|y_0|}{2}$, which is contradiction. Thus $yy_0 \neq 0$ and the equations in $(*)$ are valid. Again by assumption,

$\displaystyle |y - y_0| < \frac{\varepsilon |y_0|^2}{2}$.

Further, by the triangle inequality, $|y - y_0| < \frac{|y_0|}{2}$ implies $|y| \ge |y_0| - |y - y_0| > \frac{|y_0|}{2}$. Hence

$\displaystyle \frac{|y - y_0|}{|yy_0|} < \frac{\varepsilon |y_0|^2}{2} \frac{2}{|y_0|^2} = \varepsilon$.
 
Euge said:
Hi Julio,

To prove the result, assume the hypothesis and manipulate the expression $|\frac1{y} - \frac1{y_0}|$ to a get a term involving $|y - y_0|$ as follows:

$(*) \displaystyle \left|\frac1{y} - \frac1{y_0}\right| = \left|\frac{y_0 - y}{yy_0}\right| = \frac{|y - y_0|}{|yy_0|}$.

These steps will now be justified. Since

$\displaystyle |y - y_0| < \min\left(\frac{|y_0|}{2}, \frac{\varepsilon |y_0|^2}{2}\right)$,

in particular

$\displaystyle |y - y_0| < \frac{|y_0|}{2}$.

This inequality implies $y \neq 0$. Otherwise, $|y_0| < \frac{|y_0|}{2}$, which is contradiction. Thus $yy_0 \neq 0$ and the equations in $(*)$ are valid. Again by assumption,

$\displaystyle |y - y_0| < \frac{\varepsilon |y_0|^2}{2}$.

Further, by the triangle inequality, $|y - y_0| < \frac{|y_0|}{2}$ implies $|y| \ge |y_0| - |y - y_0| > \frac{|y_0|}{2}$. Hence

$\displaystyle \frac{|y - y_0|}{|yy_0|} < \frac{\varepsilon |y_0|^2}{2} \frac{2}{|y_0|^2} = \varepsilon$.

Thanks :)

But how it's conclude that $|y|\ge |y_0|-|y-y_0|>\dfrac{|y_0|}{2}$? Why $|y|\ge \dfrac{|y_0|}{2}$?
 
Julio said:
Thanks :)

But how it's conclude that $|y|\ge |y_0|-|y-y_0|>\dfrac{|y_0|}{2}$? Why $|y|\ge \dfrac{|y_0|}{2}$?

By the triangle inequality,

$\displaystyle |y_0| = |y + (y_0 - y)| \le |y| + |y_0 - y| = |y| + |y - y_0|$.

Hence, $|y| > |y_0| - |y - y_0|$. Since $|y - y_0| < \frac{|y_0|}{2}$,

$|y_0| - |y - y_0| \ge |y_0| - \frac{|y_0|}{2} = \frac{|y_0|}{2}$.

Therefore, $|y| > \frac{|y_0|}{2}$.
 
Euge said:
By the triangle inequality,

$\displaystyle |y_0| = |y + (y_0 - y)| \le |y| + |y_0 - y| = |y| + |y - y_0|$.

Hence, $|y| > |y_0| - |y - y_0|$. Since $|y - y_0| < \frac{|y_0|}{2}$,

$|y_0| - |y - y_0| \ge |y_0| - \frac{|y_0|}{2} = \frac{|y_0|}{2}$.

Therefore, $|y| > \frac{|y_0|}{2}$.

Thanks :) Now its clear the problem. The condition $|y-y_0|<\dfrac{|y_0|}{2}$ is for see that $y\ne 0.$ And the condition $|y-y_0|<\dfrac{\varepsilon|y_0|^2}{2}$ is for show that $\left|\dfrac{1}{y}-\dfrac{1}{y_0}\right|<\varepsilon.$

Bye and Thanks !
 

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