*Proof verification* If a rational sequence $(y_n)$ converges to non-zero $y$, then $(y_n^{-1})$ converges to...
For $epsilon > 0$, there exists $Nin mathbb{N}$ such that $|y_n - y| < epsilon$ for $ngeq N$. Removing the absolute value, adding $y$, then "inverting" the inequalities gives us $(y + epsilon)^{-1} < y_n^{-1} < (y - epsilon)^{-1}$.
We want $(y - epsilon)^{-1} = epsilon_0 + y^{-1}$ for $epsilon_0 > 0$. If we solve for $epsilon$ , we get $epsilon = y(1 - (epsilon_0y + 1)^{-1})$. I observed that, given a small enough $epsilon_0>0$, $epsilon$ is positive regardless of if $y$ is positive or negative. Then we can find a positive $epsilon$, and a corresponding index $N_0 in mathbb{N}$, for an arbitrarily small $epsilon_0$.
I would proceed by defining a third epsilon, $epsilon^* = max{|(y+ epsilon)^{-1} - y^{-1}|,epsilon_0}$, observing that since the former expression tends to zero as $epsilon_0$ tends to zero, $epsilon^*$ can be made arbitrarily small. Then $|y_n^{-1} - y^{-1}|<epsilon^*$ for $ngeq N_0$.
real-analysis sequences-and-series convergence
add a comment |
For $epsilon > 0$, there exists $Nin mathbb{N}$ such that $|y_n - y| < epsilon$ for $ngeq N$. Removing the absolute value, adding $y$, then "inverting" the inequalities gives us $(y + epsilon)^{-1} < y_n^{-1} < (y - epsilon)^{-1}$.
We want $(y - epsilon)^{-1} = epsilon_0 + y^{-1}$ for $epsilon_0 > 0$. If we solve for $epsilon$ , we get $epsilon = y(1 - (epsilon_0y + 1)^{-1})$. I observed that, given a small enough $epsilon_0>0$, $epsilon$ is positive regardless of if $y$ is positive or negative. Then we can find a positive $epsilon$, and a corresponding index $N_0 in mathbb{N}$, for an arbitrarily small $epsilon_0$.
I would proceed by defining a third epsilon, $epsilon^* = max{|(y+ epsilon)^{-1} - y^{-1}|,epsilon_0}$, observing that since the former expression tends to zero as $epsilon_0$ tends to zero, $epsilon^*$ can be made arbitrarily small. Then $|y_n^{-1} - y^{-1}|<epsilon^*$ for $ngeq N_0$.
real-analysis sequences-and-series convergence
2
Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54
add a comment |
For $epsilon > 0$, there exists $Nin mathbb{N}$ such that $|y_n - y| < epsilon$ for $ngeq N$. Removing the absolute value, adding $y$, then "inverting" the inequalities gives us $(y + epsilon)^{-1} < y_n^{-1} < (y - epsilon)^{-1}$.
We want $(y - epsilon)^{-1} = epsilon_0 + y^{-1}$ for $epsilon_0 > 0$. If we solve for $epsilon$ , we get $epsilon = y(1 - (epsilon_0y + 1)^{-1})$. I observed that, given a small enough $epsilon_0>0$, $epsilon$ is positive regardless of if $y$ is positive or negative. Then we can find a positive $epsilon$, and a corresponding index $N_0 in mathbb{N}$, for an arbitrarily small $epsilon_0$.
I would proceed by defining a third epsilon, $epsilon^* = max{|(y+ epsilon)^{-1} - y^{-1}|,epsilon_0}$, observing that since the former expression tends to zero as $epsilon_0$ tends to zero, $epsilon^*$ can be made arbitrarily small. Then $|y_n^{-1} - y^{-1}|<epsilon^*$ for $ngeq N_0$.
real-analysis sequences-and-series convergence
For $epsilon > 0$, there exists $Nin mathbb{N}$ such that $|y_n - y| < epsilon$ for $ngeq N$. Removing the absolute value, adding $y$, then "inverting" the inequalities gives us $(y + epsilon)^{-1} < y_n^{-1} < (y - epsilon)^{-1}$.
We want $(y - epsilon)^{-1} = epsilon_0 + y^{-1}$ for $epsilon_0 > 0$. If we solve for $epsilon$ , we get $epsilon = y(1 - (epsilon_0y + 1)^{-1})$. I observed that, given a small enough $epsilon_0>0$, $epsilon$ is positive regardless of if $y$ is positive or negative. Then we can find a positive $epsilon$, and a corresponding index $N_0 in mathbb{N}$, for an arbitrarily small $epsilon_0$.
I would proceed by defining a third epsilon, $epsilon^* = max{|(y+ epsilon)^{-1} - y^{-1}|,epsilon_0}$, observing that since the former expression tends to zero as $epsilon_0$ tends to zero, $epsilon^*$ can be made arbitrarily small. Then $|y_n^{-1} - y^{-1}|<epsilon^*$ for $ngeq N_0$.
real-analysis sequences-and-series convergence
real-analysis sequences-and-series convergence
edited Nov 22 '18 at 22:57
José Carlos Santos
152k22123226
152k22123226
asked Nov 22 '18 at 22:42
hiroshinhiroshin
666
666
2
Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54
add a comment |
2
Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54
2
2
Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54
Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54
add a comment |
1 Answer
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This is wrong. You cannot define a $varepsilon^*$. You need to work with any $varepsilon>0$.
First of all, note that there is a $N_1inmathbb N$ such that$$ngeqslant N_1implieslvert y-y_nrvert<frac{lvert yrvert}2implieslvert y_nrvert>frac{lvert yrvert}2.$$ But then, if $ngeqslant N_1$,$$leftlvertfrac1y-frac1{y_n}rightrvert=frac{lvert y-y_nrvert}{lvert yrvertrvert y_nrvert}leqslantfrac2{lvert yrvert^2}lvert y-y_nrvert.$$Now, take $N_2inmathbb N$ such that $ngeqslant N_2implieslvert y-y_nrvert<dfrac{varepsilonlvert yrvert^2}2.$ Then$$ngeqslantmax{N_1,N_2}impliesleftlvertfrac1y-frac1{y_n}rightrvert<varepsilon.$$
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
add a comment |
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1 Answer
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This is wrong. You cannot define a $varepsilon^*$. You need to work with any $varepsilon>0$.
First of all, note that there is a $N_1inmathbb N$ such that$$ngeqslant N_1implieslvert y-y_nrvert<frac{lvert yrvert}2implieslvert y_nrvert>frac{lvert yrvert}2.$$ But then, if $ngeqslant N_1$,$$leftlvertfrac1y-frac1{y_n}rightrvert=frac{lvert y-y_nrvert}{lvert yrvertrvert y_nrvert}leqslantfrac2{lvert yrvert^2}lvert y-y_nrvert.$$Now, take $N_2inmathbb N$ such that $ngeqslant N_2implieslvert y-y_nrvert<dfrac{varepsilonlvert yrvert^2}2.$ Then$$ngeqslantmax{N_1,N_2}impliesleftlvertfrac1y-frac1{y_n}rightrvert<varepsilon.$$
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
add a comment |
This is wrong. You cannot define a $varepsilon^*$. You need to work with any $varepsilon>0$.
First of all, note that there is a $N_1inmathbb N$ such that$$ngeqslant N_1implieslvert y-y_nrvert<frac{lvert yrvert}2implieslvert y_nrvert>frac{lvert yrvert}2.$$ But then, if $ngeqslant N_1$,$$leftlvertfrac1y-frac1{y_n}rightrvert=frac{lvert y-y_nrvert}{lvert yrvertrvert y_nrvert}leqslantfrac2{lvert yrvert^2}lvert y-y_nrvert.$$Now, take $N_2inmathbb N$ such that $ngeqslant N_2implieslvert y-y_nrvert<dfrac{varepsilonlvert yrvert^2}2.$ Then$$ngeqslantmax{N_1,N_2}impliesleftlvertfrac1y-frac1{y_n}rightrvert<varepsilon.$$
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
add a comment |
This is wrong. You cannot define a $varepsilon^*$. You need to work with any $varepsilon>0$.
First of all, note that there is a $N_1inmathbb N$ such that$$ngeqslant N_1implieslvert y-y_nrvert<frac{lvert yrvert}2implieslvert y_nrvert>frac{lvert yrvert}2.$$ But then, if $ngeqslant N_1$,$$leftlvertfrac1y-frac1{y_n}rightrvert=frac{lvert y-y_nrvert}{lvert yrvertrvert y_nrvert}leqslantfrac2{lvert yrvert^2}lvert y-y_nrvert.$$Now, take $N_2inmathbb N$ such that $ngeqslant N_2implieslvert y-y_nrvert<dfrac{varepsilonlvert yrvert^2}2.$ Then$$ngeqslantmax{N_1,N_2}impliesleftlvertfrac1y-frac1{y_n}rightrvert<varepsilon.$$
This is wrong. You cannot define a $varepsilon^*$. You need to work with any $varepsilon>0$.
First of all, note that there is a $N_1inmathbb N$ such that$$ngeqslant N_1implieslvert y-y_nrvert<frac{lvert yrvert}2implieslvert y_nrvert>frac{lvert yrvert}2.$$ But then, if $ngeqslant N_1$,$$leftlvertfrac1y-frac1{y_n}rightrvert=frac{lvert y-y_nrvert}{lvert yrvertrvert y_nrvert}leqslantfrac2{lvert yrvert^2}lvert y-y_nrvert.$$Now, take $N_2inmathbb N$ such that $ngeqslant N_2implieslvert y-y_nrvert<dfrac{varepsilonlvert yrvert^2}2.$ Then$$ngeqslantmax{N_1,N_2}impliesleftlvertfrac1y-frac1{y_n}rightrvert<varepsilon.$$
edited Nov 22 '18 at 23:11
answered Nov 22 '18 at 22:51
José Carlos SantosJosé Carlos Santos
152k22123226
152k22123226
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
add a comment |
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
Your proof is very clear, thank you! Regarding $epsilon^*$, if given how I've "assigned" the new epsilon I can find an index $N$ such that $|y_n^{-1}- y^{-1}|<epsilon^*$ for $ngeq N$ and for however small an $epsilon^*$, won't that satisfy the "for every $epsilon > 0$" condition for convergence?
– hiroshin
Nov 23 '18 at 7:00
1
1
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
Yes, that would work. To be more precise, if you define $varepsilon^*$ as a function of $varepsilon$ in such a way that $varepsilonto0iffvarepsilon^*to0$, that would work.
– José Carlos Santos
Nov 23 '18 at 7:13
add a comment |
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Note that this follows immediately from the fact that $xmapsto 1/x$ is a continuous map $mathbb Rsetminus{0}tomathbb Rsetminus{0}$
– MPW
Nov 22 '18 at 22:54