Test for Exactness












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enter image description here



In this theorem apperas:"(simply conected)" i don't understand why.
Because we can proof with out use "(simply connected)":
if we assume that: exist $phi(x,y) $ s.t $phi_{x}=frac{ partialphi}{partial x}=M$ and $phi_{y}=frac{ partialphi}{partial y}=N$ then $phi_{xy}=M_y$ and $phi_{yx}=N_x $ but from continuity of $M_y$ and $N_x $ and symmetry of second derivatives (schwarz theorem) it follows $phi_{xy}=phi_{yx}$ and (1.9.5) is proven.
To proof converse is just an algorithm to find $phi$ using integration and (1.9.5)



Where we need simply connected?










share|cite|improve this question






















  • The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
    – LutzL
    Nov 25 '18 at 17:22










  • In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
    – DWade64
    Nov 25 '18 at 18:01










  • Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
    – DWade64
    Nov 25 '18 at 18:44
















1














enter image description here



In this theorem apperas:"(simply conected)" i don't understand why.
Because we can proof with out use "(simply connected)":
if we assume that: exist $phi(x,y) $ s.t $phi_{x}=frac{ partialphi}{partial x}=M$ and $phi_{y}=frac{ partialphi}{partial y}=N$ then $phi_{xy}=M_y$ and $phi_{yx}=N_x $ but from continuity of $M_y$ and $N_x $ and symmetry of second derivatives (schwarz theorem) it follows $phi_{xy}=phi_{yx}$ and (1.9.5) is proven.
To proof converse is just an algorithm to find $phi$ using integration and (1.9.5)



Where we need simply connected?










share|cite|improve this question






















  • The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
    – LutzL
    Nov 25 '18 at 17:22










  • In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
    – DWade64
    Nov 25 '18 at 18:01










  • Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
    – DWade64
    Nov 25 '18 at 18:44














1












1








1







enter image description here



In this theorem apperas:"(simply conected)" i don't understand why.
Because we can proof with out use "(simply connected)":
if we assume that: exist $phi(x,y) $ s.t $phi_{x}=frac{ partialphi}{partial x}=M$ and $phi_{y}=frac{ partialphi}{partial y}=N$ then $phi_{xy}=M_y$ and $phi_{yx}=N_x $ but from continuity of $M_y$ and $N_x $ and symmetry of second derivatives (schwarz theorem) it follows $phi_{xy}=phi_{yx}$ and (1.9.5) is proven.
To proof converse is just an algorithm to find $phi$ using integration and (1.9.5)



Where we need simply connected?










share|cite|improve this question













enter image description here



In this theorem apperas:"(simply conected)" i don't understand why.
Because we can proof with out use "(simply connected)":
if we assume that: exist $phi(x,y) $ s.t $phi_{x}=frac{ partialphi}{partial x}=M$ and $phi_{y}=frac{ partialphi}{partial y}=N$ then $phi_{xy}=M_y$ and $phi_{yx}=N_x $ but from continuity of $M_y$ and $N_x $ and symmetry of second derivatives (schwarz theorem) it follows $phi_{xy}=phi_{yx}$ and (1.9.5) is proven.
To proof converse is just an algorithm to find $phi$ using integration and (1.9.5)



Where we need simply connected?







differential-equations analysis






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Nov 25 '18 at 17:11









Ica Sandu

515




515












  • The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
    – LutzL
    Nov 25 '18 at 17:22










  • In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
    – DWade64
    Nov 25 '18 at 18:01










  • Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
    – DWade64
    Nov 25 '18 at 18:44


















  • The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
    – LutzL
    Nov 25 '18 at 17:22










  • In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
    – DWade64
    Nov 25 '18 at 18:01










  • Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
    – DWade64
    Nov 25 '18 at 18:44
















The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
– LutzL
Nov 25 '18 at 17:22




The standard example is the angle of the point $x,y$, the gradient makes a nice exact vector field outside the origin, but going once around the origin will increase the angle by $2pi$.
– LutzL
Nov 25 '18 at 17:22












In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
– DWade64
Nov 25 '18 at 18:01




In not sure this is correct, but I think it is: The simply-connected requirement (along with the others) is a sufficient condition. It's not the weakest sufficient condition, but it is sufficient to guarantee that you can write down a potential function $phi$. This is like if I said that running 10,000 miles is sufficient to burn 1 calorie. However running 10,000 miles is not the weakest sufficient condition. I'm in the process of collecting my thoughts for an answer but I'm not sure if I know this subject well enough to give an answer
– DWade64
Nov 25 '18 at 18:01












Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
– DWade64
Nov 25 '18 at 18:44




Whether the 2-dimensional domain is simply-connected or not simply-connected, you just need every point of your integration rectangle, to be a point of the domain. Then you can define a potential function over that integration rectangle, a subset of the full domain. I hope someone else comes along and answers the question. I would leave an answer but now I'm getting confused. In 2-dimensions, simply-connected is easy to understand. Given a point $(x_0, y_0)$ contained in the common domain, it seems like you can always find the other 3 vertices of an integration rectangle, whose area is in $D$
– DWade64
Nov 25 '18 at 18:44















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