Confused about differentiability/continuity/partial derivative existence











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Ok, so in my notes it says



Prop 1: If a function is differentiable, it will be continuous AND it will also have partial derivatives.



Prop 2: If a function is continuous, or has partial derivatives, or has both, it does not guarantee the function is differentiable.



And the example to follow for prop 2 is:
$f(x,y)=frac{y^3}{x^2+y^2}$ if $(x,y )ne (0,0)$



$f(x,y)=0 $ if $(x,y)=(0,0)$



$f_x(0,0)=0$



$f_y(0,0)=1$ (how????)



The function is also continuous at $(0,0)$ since $lim f(x,y)=0$ (using squeeze theorem)



So it says the partial derivatives exist.



My first question is, why is $f_y(0,0)=1$? shouldn't it be $0$? Not that it makes a difference. The partials will exist regardless.



My second question is, it says that this function is not differentiable. How do they know that?



My third question: It says in the calculus textbook, one of the theorems (theorem 8 of chapter 14.4 for stewert's book): If the partial derivatives $f_x$ and $f_y$ exist near $(a,b)$ and are continuous at $(a,b)$ then $f$ is differentiable at $(a,b)$. How does this make sense? The example in my notes just said a function can be continuous and have partials, but still not be differentiable










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  • Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
    – Gary Choi
    Dec 7 '13 at 1:14












  • Are you sure those results are not a mixed partial, like $f_{xy}$?
    – Amzoti
    Dec 7 '13 at 1:43















up vote
7
down vote

favorite
5












Ok, so in my notes it says



Prop 1: If a function is differentiable, it will be continuous AND it will also have partial derivatives.



Prop 2: If a function is continuous, or has partial derivatives, or has both, it does not guarantee the function is differentiable.



And the example to follow for prop 2 is:
$f(x,y)=frac{y^3}{x^2+y^2}$ if $(x,y )ne (0,0)$



$f(x,y)=0 $ if $(x,y)=(0,0)$



$f_x(0,0)=0$



$f_y(0,0)=1$ (how????)



The function is also continuous at $(0,0)$ since $lim f(x,y)=0$ (using squeeze theorem)



So it says the partial derivatives exist.



My first question is, why is $f_y(0,0)=1$? shouldn't it be $0$? Not that it makes a difference. The partials will exist regardless.



My second question is, it says that this function is not differentiable. How do they know that?



My third question: It says in the calculus textbook, one of the theorems (theorem 8 of chapter 14.4 for stewert's book): If the partial derivatives $f_x$ and $f_y$ exist near $(a,b)$ and are continuous at $(a,b)$ then $f$ is differentiable at $(a,b)$. How does this make sense? The example in my notes just said a function can be continuous and have partials, but still not be differentiable










share|cite|improve this question
























  • Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
    – Gary Choi
    Dec 7 '13 at 1:14












  • Are you sure those results are not a mixed partial, like $f_{xy}$?
    – Amzoti
    Dec 7 '13 at 1:43













up vote
7
down vote

favorite
5









up vote
7
down vote

favorite
5






5





Ok, so in my notes it says



Prop 1: If a function is differentiable, it will be continuous AND it will also have partial derivatives.



Prop 2: If a function is continuous, or has partial derivatives, or has both, it does not guarantee the function is differentiable.



And the example to follow for prop 2 is:
$f(x,y)=frac{y^3}{x^2+y^2}$ if $(x,y )ne (0,0)$



$f(x,y)=0 $ if $(x,y)=(0,0)$



$f_x(0,0)=0$



$f_y(0,0)=1$ (how????)



The function is also continuous at $(0,0)$ since $lim f(x,y)=0$ (using squeeze theorem)



So it says the partial derivatives exist.



My first question is, why is $f_y(0,0)=1$? shouldn't it be $0$? Not that it makes a difference. The partials will exist regardless.



My second question is, it says that this function is not differentiable. How do they know that?



My third question: It says in the calculus textbook, one of the theorems (theorem 8 of chapter 14.4 for stewert's book): If the partial derivatives $f_x$ and $f_y$ exist near $(a,b)$ and are continuous at $(a,b)$ then $f$ is differentiable at $(a,b)$. How does this make sense? The example in my notes just said a function can be continuous and have partials, but still not be differentiable










share|cite|improve this question















Ok, so in my notes it says



Prop 1: If a function is differentiable, it will be continuous AND it will also have partial derivatives.



Prop 2: If a function is continuous, or has partial derivatives, or has both, it does not guarantee the function is differentiable.



And the example to follow for prop 2 is:
$f(x,y)=frac{y^3}{x^2+y^2}$ if $(x,y )ne (0,0)$



$f(x,y)=0 $ if $(x,y)=(0,0)$



$f_x(0,0)=0$



$f_y(0,0)=1$ (how????)



The function is also continuous at $(0,0)$ since $lim f(x,y)=0$ (using squeeze theorem)



So it says the partial derivatives exist.



My first question is, why is $f_y(0,0)=1$? shouldn't it be $0$? Not that it makes a difference. The partials will exist regardless.



My second question is, it says that this function is not differentiable. How do they know that?



My third question: It says in the calculus textbook, one of the theorems (theorem 8 of chapter 14.4 for stewert's book): If the partial derivatives $f_x$ and $f_y$ exist near $(a,b)$ and are continuous at $(a,b)$ then $f$ is differentiable at $(a,b)$. How does this make sense? The example in my notes just said a function can be continuous and have partials, but still not be differentiable







calculus multivariable-calculus derivatives






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edited Dec 7 '13 at 1:39









AbKDs

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1,658929










asked Dec 7 '13 at 1:06









Gary Choi

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57128












  • Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
    – Gary Choi
    Dec 7 '13 at 1:14












  • Are you sure those results are not a mixed partial, like $f_{xy}$?
    – Amzoti
    Dec 7 '13 at 1:43


















  • Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
    – Gary Choi
    Dec 7 '13 at 1:14












  • Are you sure those results are not a mixed partial, like $f_{xy}$?
    – Amzoti
    Dec 7 '13 at 1:43
















Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
– Gary Choi
Dec 7 '13 at 1:14






Oh I understand now. The theorem says it has to be continuous at (a,b) for the PARTIAL derivatives, not the function itself. Okay. Still wondering about my first and second questions though?
– Gary Choi
Dec 7 '13 at 1:14














Are you sure those results are not a mixed partial, like $f_{xy}$?
– Amzoti
Dec 7 '13 at 1:43




Are you sure those results are not a mixed partial, like $f_{xy}$?
– Amzoti
Dec 7 '13 at 1:43










3 Answers
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9
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A function $f:mathbb{R}^2 to mathbb{R}$ is differentiable at a point $p$ if there is a linear map $L:mathbb{R}^2 to mathbb{R}$ such that $$lim_{h to 0}frac{left|f(p+h)-f(h)-L(h)right|}{|h|} = 0$$ If the function is differentiable, then $L$ is the function $L(x,y) = dfrac{partial f }{partial x}big|_p x +dfrac{partial f}{partial y}big|_p y$.



If all you know is that the partial derivatives exist, you do not even know that the function is continuous, let alone is well approximated by a tangent plane. For instance $f(x,y) = 0$ if $x=0$ or $y=0$ and $f(x,y) = 1$ otherwise. The partial derivatives of $f$ at $(0,0)$ are all $0$, but the tangent plane is a really crappy approximation to $f$ off of the coordinate axes.



The example you were looking at is a little harder to visualize, but think about what happens to $f$ on lines other than horizontal and vertical ones.



In other words, morally, for a function to be differentiable at $(a,b)$ we need that $f(a+Delta x,b+Delta y) approx f(a,b) + frac{partial f}{partial x} Delta x + frac{partial f}{partial y} Delta y$. This talks about approximating $f$ in all directions around $(a,b)$, whereas existence of the partial derivatives only means you have good approximations in two directions (the coordinate directions).






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    0
    down vote













    This pertains to the first question. $f_y(0, 0)$ is neither 0 nor 1 in the limit. This is because $f_y(x,y)$ is not continuous at (0, 0).



    To see this, approach the point (0, 0) along the line y = x. You get,$$f_y(0, 0)= 1$$



    If you approach along y = 2x (put x = t and y = 2t), you get, $$f_y(0, 0) = 28/25$$



    Thus, $lim_{(x, y)to(0, 0)} f_y(x, y)$ does not exist.



    Now the definition of continuity requires the value at $f_y(0, 0)$ to equal the limit, which does not exist.



    Therefore, $f_y(x, y)$ is not continuous at (0, 0).






    share|cite|improve this answer























    • You haven't explained how this relates to the questions the OP asked in their post.
      – Michael Albanese
      Jan 19 '16 at 1:31


















    up vote
    0
    down vote













    Definition of partial derivative of $f$ in $(a, b)$ respect to $y$ is
    $$
    f_y(a, b)=lim_{hrightarrow 0}frac{f(a, b+h)-f(a, b)}{h}
    $$

    then
    $$
    f_y(0, 0)=lim_{hrightarrow 0}frac{f(0, h)-f(0, 0)}{h}=lim_{hrightarrow 0}frac{frac{h^3}{0+h^2}-0}{h}=lim_{hrightarrow 0}frac{h}{h}=1
    $$



    As @Joker said $f_y$ isn't continue in $0$ then that example doesn't contraddict the general principle. $f$ isn't differentiable because if it is then $nabla f(0, 0)=(0, 1)$ (their coordinate must be the partial derivatives) and
    $$
    lim_{x, y)rightarrow (0, 0)}frac{frac{y^3}{x^2+y^2}-0-0cdot x-1cdot y}{sqrt{x^2+y^2}}=lim_{x, y)rightarrow (0, 0)}frac{-x^2y}{(x^2+y^2)^{frac 32}}
    $$

    passing to polar coordinates with $x=rhocostheta$, $y=rhosintheta$
    $$
    frac{-x^2y}{(x^2+y^2)^{frac 32}}=frac{-rho^3cos^2thetasintheta}{rho^3}=cos^2thetasintheta
    $$

    and doesn't go to $0$ when $rhorightarrow 0$ then limit doesn't exists and $f$ isn't differentiable.






    share|cite|improve this answer





















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      3 Answers
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      3 Answers
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      up vote
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      down vote













      A function $f:mathbb{R}^2 to mathbb{R}$ is differentiable at a point $p$ if there is a linear map $L:mathbb{R}^2 to mathbb{R}$ such that $$lim_{h to 0}frac{left|f(p+h)-f(h)-L(h)right|}{|h|} = 0$$ If the function is differentiable, then $L$ is the function $L(x,y) = dfrac{partial f }{partial x}big|_p x +dfrac{partial f}{partial y}big|_p y$.



      If all you know is that the partial derivatives exist, you do not even know that the function is continuous, let alone is well approximated by a tangent plane. For instance $f(x,y) = 0$ if $x=0$ or $y=0$ and $f(x,y) = 1$ otherwise. The partial derivatives of $f$ at $(0,0)$ are all $0$, but the tangent plane is a really crappy approximation to $f$ off of the coordinate axes.



      The example you were looking at is a little harder to visualize, but think about what happens to $f$ on lines other than horizontal and vertical ones.



      In other words, morally, for a function to be differentiable at $(a,b)$ we need that $f(a+Delta x,b+Delta y) approx f(a,b) + frac{partial f}{partial x} Delta x + frac{partial f}{partial y} Delta y$. This talks about approximating $f$ in all directions around $(a,b)$, whereas existence of the partial derivatives only means you have good approximations in two directions (the coordinate directions).






      share|cite|improve this answer

























        up vote
        9
        down vote













        A function $f:mathbb{R}^2 to mathbb{R}$ is differentiable at a point $p$ if there is a linear map $L:mathbb{R}^2 to mathbb{R}$ such that $$lim_{h to 0}frac{left|f(p+h)-f(h)-L(h)right|}{|h|} = 0$$ If the function is differentiable, then $L$ is the function $L(x,y) = dfrac{partial f }{partial x}big|_p x +dfrac{partial f}{partial y}big|_p y$.



        If all you know is that the partial derivatives exist, you do not even know that the function is continuous, let alone is well approximated by a tangent plane. For instance $f(x,y) = 0$ if $x=0$ or $y=0$ and $f(x,y) = 1$ otherwise. The partial derivatives of $f$ at $(0,0)$ are all $0$, but the tangent plane is a really crappy approximation to $f$ off of the coordinate axes.



        The example you were looking at is a little harder to visualize, but think about what happens to $f$ on lines other than horizontal and vertical ones.



        In other words, morally, for a function to be differentiable at $(a,b)$ we need that $f(a+Delta x,b+Delta y) approx f(a,b) + frac{partial f}{partial x} Delta x + frac{partial f}{partial y} Delta y$. This talks about approximating $f$ in all directions around $(a,b)$, whereas existence of the partial derivatives only means you have good approximations in two directions (the coordinate directions).






        share|cite|improve this answer























          up vote
          9
          down vote










          up vote
          9
          down vote









          A function $f:mathbb{R}^2 to mathbb{R}$ is differentiable at a point $p$ if there is a linear map $L:mathbb{R}^2 to mathbb{R}$ such that $$lim_{h to 0}frac{left|f(p+h)-f(h)-L(h)right|}{|h|} = 0$$ If the function is differentiable, then $L$ is the function $L(x,y) = dfrac{partial f }{partial x}big|_p x +dfrac{partial f}{partial y}big|_p y$.



          If all you know is that the partial derivatives exist, you do not even know that the function is continuous, let alone is well approximated by a tangent plane. For instance $f(x,y) = 0$ if $x=0$ or $y=0$ and $f(x,y) = 1$ otherwise. The partial derivatives of $f$ at $(0,0)$ are all $0$, but the tangent plane is a really crappy approximation to $f$ off of the coordinate axes.



          The example you were looking at is a little harder to visualize, but think about what happens to $f$ on lines other than horizontal and vertical ones.



          In other words, morally, for a function to be differentiable at $(a,b)$ we need that $f(a+Delta x,b+Delta y) approx f(a,b) + frac{partial f}{partial x} Delta x + frac{partial f}{partial y} Delta y$. This talks about approximating $f$ in all directions around $(a,b)$, whereas existence of the partial derivatives only means you have good approximations in two directions (the coordinate directions).






          share|cite|improve this answer












          A function $f:mathbb{R}^2 to mathbb{R}$ is differentiable at a point $p$ if there is a linear map $L:mathbb{R}^2 to mathbb{R}$ such that $$lim_{h to 0}frac{left|f(p+h)-f(h)-L(h)right|}{|h|} = 0$$ If the function is differentiable, then $L$ is the function $L(x,y) = dfrac{partial f }{partial x}big|_p x +dfrac{partial f}{partial y}big|_p y$.



          If all you know is that the partial derivatives exist, you do not even know that the function is continuous, let alone is well approximated by a tangent plane. For instance $f(x,y) = 0$ if $x=0$ or $y=0$ and $f(x,y) = 1$ otherwise. The partial derivatives of $f$ at $(0,0)$ are all $0$, but the tangent plane is a really crappy approximation to $f$ off of the coordinate axes.



          The example you were looking at is a little harder to visualize, but think about what happens to $f$ on lines other than horizontal and vertical ones.



          In other words, morally, for a function to be differentiable at $(a,b)$ we need that $f(a+Delta x,b+Delta y) approx f(a,b) + frac{partial f}{partial x} Delta x + frac{partial f}{partial y} Delta y$. This talks about approximating $f$ in all directions around $(a,b)$, whereas existence of the partial derivatives only means you have good approximations in two directions (the coordinate directions).







          share|cite|improve this answer












          share|cite|improve this answer



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          answered Dec 7 '13 at 1:45









          Steven Gubkin

          5,5541531




          5,5541531






















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              This pertains to the first question. $f_y(0, 0)$ is neither 0 nor 1 in the limit. This is because $f_y(x,y)$ is not continuous at (0, 0).



              To see this, approach the point (0, 0) along the line y = x. You get,$$f_y(0, 0)= 1$$



              If you approach along y = 2x (put x = t and y = 2t), you get, $$f_y(0, 0) = 28/25$$



              Thus, $lim_{(x, y)to(0, 0)} f_y(x, y)$ does not exist.



              Now the definition of continuity requires the value at $f_y(0, 0)$ to equal the limit, which does not exist.



              Therefore, $f_y(x, y)$ is not continuous at (0, 0).






              share|cite|improve this answer























              • You haven't explained how this relates to the questions the OP asked in their post.
                – Michael Albanese
                Jan 19 '16 at 1:31















              up vote
              0
              down vote













              This pertains to the first question. $f_y(0, 0)$ is neither 0 nor 1 in the limit. This is because $f_y(x,y)$ is not continuous at (0, 0).



              To see this, approach the point (0, 0) along the line y = x. You get,$$f_y(0, 0)= 1$$



              If you approach along y = 2x (put x = t and y = 2t), you get, $$f_y(0, 0) = 28/25$$



              Thus, $lim_{(x, y)to(0, 0)} f_y(x, y)$ does not exist.



              Now the definition of continuity requires the value at $f_y(0, 0)$ to equal the limit, which does not exist.



              Therefore, $f_y(x, y)$ is not continuous at (0, 0).






              share|cite|improve this answer























              • You haven't explained how this relates to the questions the OP asked in their post.
                – Michael Albanese
                Jan 19 '16 at 1:31













              up vote
              0
              down vote










              up vote
              0
              down vote









              This pertains to the first question. $f_y(0, 0)$ is neither 0 nor 1 in the limit. This is because $f_y(x,y)$ is not continuous at (0, 0).



              To see this, approach the point (0, 0) along the line y = x. You get,$$f_y(0, 0)= 1$$



              If you approach along y = 2x (put x = t and y = 2t), you get, $$f_y(0, 0) = 28/25$$



              Thus, $lim_{(x, y)to(0, 0)} f_y(x, y)$ does not exist.



              Now the definition of continuity requires the value at $f_y(0, 0)$ to equal the limit, which does not exist.



              Therefore, $f_y(x, y)$ is not continuous at (0, 0).






              share|cite|improve this answer














              This pertains to the first question. $f_y(0, 0)$ is neither 0 nor 1 in the limit. This is because $f_y(x,y)$ is not continuous at (0, 0).



              To see this, approach the point (0, 0) along the line y = x. You get,$$f_y(0, 0)= 1$$



              If you approach along y = 2x (put x = t and y = 2t), you get, $$f_y(0, 0) = 28/25$$



              Thus, $lim_{(x, y)to(0, 0)} f_y(x, y)$ does not exist.



              Now the definition of continuity requires the value at $f_y(0, 0)$ to equal the limit, which does not exist.



              Therefore, $f_y(x, y)$ is not continuous at (0, 0).







              share|cite|improve this answer














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              share|cite|improve this answer








              edited Jan 19 '16 at 6:20

























              answered Jan 19 '16 at 1:03









              Joker

              11




              11












              • You haven't explained how this relates to the questions the OP asked in their post.
                – Michael Albanese
                Jan 19 '16 at 1:31


















              • You haven't explained how this relates to the questions the OP asked in their post.
                – Michael Albanese
                Jan 19 '16 at 1:31
















              You haven't explained how this relates to the questions the OP asked in their post.
              – Michael Albanese
              Jan 19 '16 at 1:31




              You haven't explained how this relates to the questions the OP asked in their post.
              – Michael Albanese
              Jan 19 '16 at 1:31










              up vote
              0
              down vote













              Definition of partial derivative of $f$ in $(a, b)$ respect to $y$ is
              $$
              f_y(a, b)=lim_{hrightarrow 0}frac{f(a, b+h)-f(a, b)}{h}
              $$

              then
              $$
              f_y(0, 0)=lim_{hrightarrow 0}frac{f(0, h)-f(0, 0)}{h}=lim_{hrightarrow 0}frac{frac{h^3}{0+h^2}-0}{h}=lim_{hrightarrow 0}frac{h}{h}=1
              $$



              As @Joker said $f_y$ isn't continue in $0$ then that example doesn't contraddict the general principle. $f$ isn't differentiable because if it is then $nabla f(0, 0)=(0, 1)$ (their coordinate must be the partial derivatives) and
              $$
              lim_{x, y)rightarrow (0, 0)}frac{frac{y^3}{x^2+y^2}-0-0cdot x-1cdot y}{sqrt{x^2+y^2}}=lim_{x, y)rightarrow (0, 0)}frac{-x^2y}{(x^2+y^2)^{frac 32}}
              $$

              passing to polar coordinates with $x=rhocostheta$, $y=rhosintheta$
              $$
              frac{-x^2y}{(x^2+y^2)^{frac 32}}=frac{-rho^3cos^2thetasintheta}{rho^3}=cos^2thetasintheta
              $$

              and doesn't go to $0$ when $rhorightarrow 0$ then limit doesn't exists and $f$ isn't differentiable.






              share|cite|improve this answer

























                up vote
                0
                down vote













                Definition of partial derivative of $f$ in $(a, b)$ respect to $y$ is
                $$
                f_y(a, b)=lim_{hrightarrow 0}frac{f(a, b+h)-f(a, b)}{h}
                $$

                then
                $$
                f_y(0, 0)=lim_{hrightarrow 0}frac{f(0, h)-f(0, 0)}{h}=lim_{hrightarrow 0}frac{frac{h^3}{0+h^2}-0}{h}=lim_{hrightarrow 0}frac{h}{h}=1
                $$



                As @Joker said $f_y$ isn't continue in $0$ then that example doesn't contraddict the general principle. $f$ isn't differentiable because if it is then $nabla f(0, 0)=(0, 1)$ (their coordinate must be the partial derivatives) and
                $$
                lim_{x, y)rightarrow (0, 0)}frac{frac{y^3}{x^2+y^2}-0-0cdot x-1cdot y}{sqrt{x^2+y^2}}=lim_{x, y)rightarrow (0, 0)}frac{-x^2y}{(x^2+y^2)^{frac 32}}
                $$

                passing to polar coordinates with $x=rhocostheta$, $y=rhosintheta$
                $$
                frac{-x^2y}{(x^2+y^2)^{frac 32}}=frac{-rho^3cos^2thetasintheta}{rho^3}=cos^2thetasintheta
                $$

                and doesn't go to $0$ when $rhorightarrow 0$ then limit doesn't exists and $f$ isn't differentiable.






                share|cite|improve this answer























                  up vote
                  0
                  down vote










                  up vote
                  0
                  down vote









                  Definition of partial derivative of $f$ in $(a, b)$ respect to $y$ is
                  $$
                  f_y(a, b)=lim_{hrightarrow 0}frac{f(a, b+h)-f(a, b)}{h}
                  $$

                  then
                  $$
                  f_y(0, 0)=lim_{hrightarrow 0}frac{f(0, h)-f(0, 0)}{h}=lim_{hrightarrow 0}frac{frac{h^3}{0+h^2}-0}{h}=lim_{hrightarrow 0}frac{h}{h}=1
                  $$



                  As @Joker said $f_y$ isn't continue in $0$ then that example doesn't contraddict the general principle. $f$ isn't differentiable because if it is then $nabla f(0, 0)=(0, 1)$ (their coordinate must be the partial derivatives) and
                  $$
                  lim_{x, y)rightarrow (0, 0)}frac{frac{y^3}{x^2+y^2}-0-0cdot x-1cdot y}{sqrt{x^2+y^2}}=lim_{x, y)rightarrow (0, 0)}frac{-x^2y}{(x^2+y^2)^{frac 32}}
                  $$

                  passing to polar coordinates with $x=rhocostheta$, $y=rhosintheta$
                  $$
                  frac{-x^2y}{(x^2+y^2)^{frac 32}}=frac{-rho^3cos^2thetasintheta}{rho^3}=cos^2thetasintheta
                  $$

                  and doesn't go to $0$ when $rhorightarrow 0$ then limit doesn't exists and $f$ isn't differentiable.






                  share|cite|improve this answer












                  Definition of partial derivative of $f$ in $(a, b)$ respect to $y$ is
                  $$
                  f_y(a, b)=lim_{hrightarrow 0}frac{f(a, b+h)-f(a, b)}{h}
                  $$

                  then
                  $$
                  f_y(0, 0)=lim_{hrightarrow 0}frac{f(0, h)-f(0, 0)}{h}=lim_{hrightarrow 0}frac{frac{h^3}{0+h^2}-0}{h}=lim_{hrightarrow 0}frac{h}{h}=1
                  $$



                  As @Joker said $f_y$ isn't continue in $0$ then that example doesn't contraddict the general principle. $f$ isn't differentiable because if it is then $nabla f(0, 0)=(0, 1)$ (their coordinate must be the partial derivatives) and
                  $$
                  lim_{x, y)rightarrow (0, 0)}frac{frac{y^3}{x^2+y^2}-0-0cdot x-1cdot y}{sqrt{x^2+y^2}}=lim_{x, y)rightarrow (0, 0)}frac{-x^2y}{(x^2+y^2)^{frac 32}}
                  $$

                  passing to polar coordinates with $x=rhocostheta$, $y=rhosintheta$
                  $$
                  frac{-x^2y}{(x^2+y^2)^{frac 32}}=frac{-rho^3cos^2thetasintheta}{rho^3}=cos^2thetasintheta
                  $$

                  and doesn't go to $0$ when $rhorightarrow 0$ then limit doesn't exists and $f$ isn't differentiable.







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Nov 22 at 22:10









                  P De Donato

                  3317




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