Epsilon-delta definition of continuity in two dimensions The 2019 Stack Overflow Developer Survey Results Are InHow to prove differentiability implies continuity with $epsilon-delta$ definition?checking slope = $0$ at a point for a function using $epsilon $, $delta $ definition$delta$ and $epsilon$ in the continuity definitionEpsilon-delta definition of continuitySwitching the quantifier of definition for ContinuityDoes the new definition imply continuity and vice versa?changing the order of the logical symbols $(forall epsilon) (existsdelta)$ by $(exists delta)(forallepsilon) $ in limit definitionDisproving continuity using epsilon deltaShowing the continuity of a function based on the continuity of another functionQuestion about the proof of the $epsilon-delta$ definition of continuity

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Epsilon-delta definition of continuity in two dimensions



The 2019 Stack Overflow Developer Survey Results Are InHow to prove differentiability implies continuity with $epsilon-delta$ definition?checking slope = $0$ at a point for a function using $epsilon $, $delta $ definition$delta$ and $epsilon$ in the continuity definitionEpsilon-delta definition of continuitySwitching the quantifier of definition for ContinuityDoes the new definition imply continuity and vice versa?changing the order of the logical symbols $(forall epsilon) (existsdelta)$ by $(exists delta)(forallepsilon) $ in limit definitionDisproving continuity using epsilon deltaShowing the continuity of a function based on the continuity of another functionQuestion about the proof of the $epsilon-delta$ definition of continuity










0












$begingroup$


Usually the continuity of multi-variate function is defined through something like "$delta$-disk."



Can we define such continuity with the similar one-dimension definition? As follow:
$f:mathbb R^2tomathbb R$ is continuous at $x$ iff $foralldelta>0existsepsilon>0forall yinmathbb R^2$ we have $|x-y|<epsilon$ implies $|f(y)-f(x)|<delta$.



If this definition works, then why do we need to complicate the problem?
If not, could you please provide a counterexample?




Similarly, there are many very complicated generalization of absolute continuity in $mathbb R^n$. Why don't people just use the same definition in $mathbb R^n$ as if in $mathbb R$ if that works? If it doesn't work in $mathbb R^n$, then could you please bring a counterexample?



1d definition": $∀ε>0 ∃δ>0$ st $∑_j(y_j−x_j)<δ⟹∑_j|f(x_j)−f(y_j)|<ε$, where each $(x_j,y_j)$ is a subinterval of the domain of f. Can it be directly used in $mathbb R^n$?










share|cite|improve this question











$endgroup$







  • 1




    $begingroup$
    Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
    $endgroup$
    – Gary Moon
    Mar 24 at 5:50










  • $begingroup$
    @GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
    $endgroup$
    – High GPA
    Mar 24 at 5:52







  • 2




    $begingroup$
    I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
    $endgroup$
    – Gary Moon
    Mar 24 at 6:09










  • $begingroup$
    If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
    $endgroup$
    – Moti
    Mar 24 at 6:25






  • 1




    $begingroup$
    Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
    $endgroup$
    – Gary Moon
    Mar 24 at 6:48
















0












$begingroup$


Usually the continuity of multi-variate function is defined through something like "$delta$-disk."



Can we define such continuity with the similar one-dimension definition? As follow:
$f:mathbb R^2tomathbb R$ is continuous at $x$ iff $foralldelta>0existsepsilon>0forall yinmathbb R^2$ we have $|x-y|<epsilon$ implies $|f(y)-f(x)|<delta$.



If this definition works, then why do we need to complicate the problem?
If not, could you please provide a counterexample?




Similarly, there are many very complicated generalization of absolute continuity in $mathbb R^n$. Why don't people just use the same definition in $mathbb R^n$ as if in $mathbb R$ if that works? If it doesn't work in $mathbb R^n$, then could you please bring a counterexample?



1d definition": $∀ε>0 ∃δ>0$ st $∑_j(y_j−x_j)<δ⟹∑_j|f(x_j)−f(y_j)|<ε$, where each $(x_j,y_j)$ is a subinterval of the domain of f. Can it be directly used in $mathbb R^n$?










share|cite|improve this question











$endgroup$







  • 1




    $begingroup$
    Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
    $endgroup$
    – Gary Moon
    Mar 24 at 5:50










  • $begingroup$
    @GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
    $endgroup$
    – High GPA
    Mar 24 at 5:52







  • 2




    $begingroup$
    I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
    $endgroup$
    – Gary Moon
    Mar 24 at 6:09










  • $begingroup$
    If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
    $endgroup$
    – Moti
    Mar 24 at 6:25






  • 1




    $begingroup$
    Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
    $endgroup$
    – Gary Moon
    Mar 24 at 6:48














0












0








0





$begingroup$


Usually the continuity of multi-variate function is defined through something like "$delta$-disk."



Can we define such continuity with the similar one-dimension definition? As follow:
$f:mathbb R^2tomathbb R$ is continuous at $x$ iff $foralldelta>0existsepsilon>0forall yinmathbb R^2$ we have $|x-y|<epsilon$ implies $|f(y)-f(x)|<delta$.



If this definition works, then why do we need to complicate the problem?
If not, could you please provide a counterexample?




Similarly, there are many very complicated generalization of absolute continuity in $mathbb R^n$. Why don't people just use the same definition in $mathbb R^n$ as if in $mathbb R$ if that works? If it doesn't work in $mathbb R^n$, then could you please bring a counterexample?



1d definition": $∀ε>0 ∃δ>0$ st $∑_j(y_j−x_j)<δ⟹∑_j|f(x_j)−f(y_j)|<ε$, where each $(x_j,y_j)$ is a subinterval of the domain of f. Can it be directly used in $mathbb R^n$?










share|cite|improve this question











$endgroup$




Usually the continuity of multi-variate function is defined through something like "$delta$-disk."



Can we define such continuity with the similar one-dimension definition? As follow:
$f:mathbb R^2tomathbb R$ is continuous at $x$ iff $foralldelta>0existsepsilon>0forall yinmathbb R^2$ we have $|x-y|<epsilon$ implies $|f(y)-f(x)|<delta$.



If this definition works, then why do we need to complicate the problem?
If not, could you please provide a counterexample?




Similarly, there are many very complicated generalization of absolute continuity in $mathbb R^n$. Why don't people just use the same definition in $mathbb R^n$ as if in $mathbb R$ if that works? If it doesn't work in $mathbb R^n$, then could you please bring a counterexample?



1d definition": $∀ε>0 ∃δ>0$ st $∑_j(y_j−x_j)<δ⟹∑_j|f(x_j)−f(y_j)|<ε$, where each $(x_j,y_j)$ is a subinterval of the domain of f. Can it be directly used in $mathbb R^n$?







real-analysis analysis functions continuity absolute-continuity






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 24 at 7:01







High GPA

















asked Mar 24 at 5:43









High GPAHigh GPA

914422




914422







  • 1




    $begingroup$
    Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
    $endgroup$
    – Gary Moon
    Mar 24 at 5:50










  • $begingroup$
    @GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
    $endgroup$
    – High GPA
    Mar 24 at 5:52







  • 2




    $begingroup$
    I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
    $endgroup$
    – Gary Moon
    Mar 24 at 6:09










  • $begingroup$
    If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
    $endgroup$
    – Moti
    Mar 24 at 6:25






  • 1




    $begingroup$
    Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
    $endgroup$
    – Gary Moon
    Mar 24 at 6:48













  • 1




    $begingroup$
    Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
    $endgroup$
    – Gary Moon
    Mar 24 at 5:50










  • $begingroup$
    @GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
    $endgroup$
    – High GPA
    Mar 24 at 5:52







  • 2




    $begingroup$
    I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
    $endgroup$
    – Gary Moon
    Mar 24 at 6:09










  • $begingroup$
    If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
    $endgroup$
    – Moti
    Mar 24 at 6:25






  • 1




    $begingroup$
    Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
    $endgroup$
    – Gary Moon
    Mar 24 at 6:48








1




1




$begingroup$
Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
$endgroup$
– Gary Moon
Mar 24 at 5:50




$begingroup$
Given that $lvert x- y rvert < delta$ is a ball of radius $delta$ centered at $x$ (or a so-called $delta$-disk), how is the above definition different?
$endgroup$
– Gary Moon
Mar 24 at 5:50












$begingroup$
@GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
$endgroup$
– High GPA
Mar 24 at 5:52





$begingroup$
@GaryMoon I guess they are the same. Then why do we need to over-complicated it rather than saying that the definition is exactly same as the one in one dimensional case? I think math appreciates simplicity and concision.
$endgroup$
– High GPA
Mar 24 at 5:52





2




2




$begingroup$
I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
$endgroup$
– Gary Moon
Mar 24 at 6:09




$begingroup$
I think that mentioning that to students is, in general, good and can aid in intuition/understanding. But, at the same time, you do, at some point, have to go through the process of constructing the machinery (e.g., replacing the absolute value with a higher-dimensional Euclidean norm) and actually showing that things work out like you say they will. Many things in math can be intuitive on the surface, yet take a good deal of effort to actually prove/verify. Take the Jordan curve theorem for example.
$endgroup$
– Gary Moon
Mar 24 at 6:09












$begingroup$
If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
$endgroup$
– Moti
Mar 24 at 6:25




$begingroup$
If there is a relation between the various dimensions you need to be careful in applying "disks" or "balls".
$endgroup$
– Moti
Mar 24 at 6:25




1




1




$begingroup$
Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
$endgroup$
– Gary Moon
Mar 24 at 6:48





$begingroup$
Is the $1d$ definition you have in mind $forall varepsilon > 0 exists delta >0$ st $sum_j (y_j-x_j) < delta implies sum_j lvert f(x_j) - f(y_j) rvert < varepsilon$, where each $(x_j,y_j)$ is a subinterval of the domain of $f$?
$endgroup$
– Gary Moon
Mar 24 at 6:48











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