Divergence in non cartesian coordinates












1












$begingroup$


Suppose I have some vector field $X$ in $mathbb{R^3}$ and a submanifold $M$ such that $dim(M)=2$. I want to calculate the flux of $X$ through $M$, $Phi_X(M)$. I would have two ways to do it, either go by the definition of flux or use the divergence theorem:
$$Phi_X(M)=int_Vdiv(X)dV$$
where $V$ is the solid enclosed by $M$. Now, suppose that $M$ is some kind of quadric surface so that the use of a parametrization, $psi$, would the make the integration much easier (Polar, spherical, etc.). If $X$ is given in the cartesian coordinate system along with the euclidean metric then the divergence of $X$ is straightforward, but if I'm using a parametrization $psi$ for $V$ then I would practically be using a different coordinate system because $dim V=3$, and so in that case, the divergence of $X$ would not be so straightforward as can be seen in this question and answer:Divergence in curvilinear coordinates. However I know very little (nothing actually) of covariance, contravariance and tensors, and this answer is only strict to orthogonal coordinate systems, and I'm wondering what other options are there to compute the flux by the divergence theorem and not calculate the divergence in a separate coordinate systems.



For example, if I have $M={(x,y,z)in mathbb{R^3}: z=x^2+y^2, 0leq zleq 1}$ and the vector field $X:mathbb{R^3} to mathbb{R^{3times 1}}, (x,y,z)to begin{bmatrix} xz \ z \ -frac{z}{2}end{bmatrix}$. Then the euclidean divergence of $X$ is $div (X)=z-1/2$. Using $psi$ as a parametrization of $V$, such that $psi=begin{bmatrix} psi^1 \ psi^2 \ psi^3end{bmatrix}$, would the flux be:



$$Phi_X(M)=int_{psi^{-1}(V)}bigg(psi^3-frac{1}{2}bigg)dV$$



such that $dV=sqrt{det(G(psi;(x,y,z)))}dpsi^1dpsi^2dpsi^3$, where $G(psi;(x,y,z))$ is the gram matrix of $psi$ at $(x,y,z)$?










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    Suppose I have some vector field $X$ in $mathbb{R^3}$ and a submanifold $M$ such that $dim(M)=2$. I want to calculate the flux of $X$ through $M$, $Phi_X(M)$. I would have two ways to do it, either go by the definition of flux or use the divergence theorem:
    $$Phi_X(M)=int_Vdiv(X)dV$$
    where $V$ is the solid enclosed by $M$. Now, suppose that $M$ is some kind of quadric surface so that the use of a parametrization, $psi$, would the make the integration much easier (Polar, spherical, etc.). If $X$ is given in the cartesian coordinate system along with the euclidean metric then the divergence of $X$ is straightforward, but if I'm using a parametrization $psi$ for $V$ then I would practically be using a different coordinate system because $dim V=3$, and so in that case, the divergence of $X$ would not be so straightforward as can be seen in this question and answer:Divergence in curvilinear coordinates. However I know very little (nothing actually) of covariance, contravariance and tensors, and this answer is only strict to orthogonal coordinate systems, and I'm wondering what other options are there to compute the flux by the divergence theorem and not calculate the divergence in a separate coordinate systems.



    For example, if I have $M={(x,y,z)in mathbb{R^3}: z=x^2+y^2, 0leq zleq 1}$ and the vector field $X:mathbb{R^3} to mathbb{R^{3times 1}}, (x,y,z)to begin{bmatrix} xz \ z \ -frac{z}{2}end{bmatrix}$. Then the euclidean divergence of $X$ is $div (X)=z-1/2$. Using $psi$ as a parametrization of $V$, such that $psi=begin{bmatrix} psi^1 \ psi^2 \ psi^3end{bmatrix}$, would the flux be:



    $$Phi_X(M)=int_{psi^{-1}(V)}bigg(psi^3-frac{1}{2}bigg)dV$$



    such that $dV=sqrt{det(G(psi;(x,y,z)))}dpsi^1dpsi^2dpsi^3$, where $G(psi;(x,y,z))$ is the gram matrix of $psi$ at $(x,y,z)$?










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      Suppose I have some vector field $X$ in $mathbb{R^3}$ and a submanifold $M$ such that $dim(M)=2$. I want to calculate the flux of $X$ through $M$, $Phi_X(M)$. I would have two ways to do it, either go by the definition of flux or use the divergence theorem:
      $$Phi_X(M)=int_Vdiv(X)dV$$
      where $V$ is the solid enclosed by $M$. Now, suppose that $M$ is some kind of quadric surface so that the use of a parametrization, $psi$, would the make the integration much easier (Polar, spherical, etc.). If $X$ is given in the cartesian coordinate system along with the euclidean metric then the divergence of $X$ is straightforward, but if I'm using a parametrization $psi$ for $V$ then I would practically be using a different coordinate system because $dim V=3$, and so in that case, the divergence of $X$ would not be so straightforward as can be seen in this question and answer:Divergence in curvilinear coordinates. However I know very little (nothing actually) of covariance, contravariance and tensors, and this answer is only strict to orthogonal coordinate systems, and I'm wondering what other options are there to compute the flux by the divergence theorem and not calculate the divergence in a separate coordinate systems.



      For example, if I have $M={(x,y,z)in mathbb{R^3}: z=x^2+y^2, 0leq zleq 1}$ and the vector field $X:mathbb{R^3} to mathbb{R^{3times 1}}, (x,y,z)to begin{bmatrix} xz \ z \ -frac{z}{2}end{bmatrix}$. Then the euclidean divergence of $X$ is $div (X)=z-1/2$. Using $psi$ as a parametrization of $V$, such that $psi=begin{bmatrix} psi^1 \ psi^2 \ psi^3end{bmatrix}$, would the flux be:



      $$Phi_X(M)=int_{psi^{-1}(V)}bigg(psi^3-frac{1}{2}bigg)dV$$



      such that $dV=sqrt{det(G(psi;(x,y,z)))}dpsi^1dpsi^2dpsi^3$, where $G(psi;(x,y,z))$ is the gram matrix of $psi$ at $(x,y,z)$?










      share|cite|improve this question











      $endgroup$




      Suppose I have some vector field $X$ in $mathbb{R^3}$ and a submanifold $M$ such that $dim(M)=2$. I want to calculate the flux of $X$ through $M$, $Phi_X(M)$. I would have two ways to do it, either go by the definition of flux or use the divergence theorem:
      $$Phi_X(M)=int_Vdiv(X)dV$$
      where $V$ is the solid enclosed by $M$. Now, suppose that $M$ is some kind of quadric surface so that the use of a parametrization, $psi$, would the make the integration much easier (Polar, spherical, etc.). If $X$ is given in the cartesian coordinate system along with the euclidean metric then the divergence of $X$ is straightforward, but if I'm using a parametrization $psi$ for $V$ then I would practically be using a different coordinate system because $dim V=3$, and so in that case, the divergence of $X$ would not be so straightforward as can be seen in this question and answer:Divergence in curvilinear coordinates. However I know very little (nothing actually) of covariance, contravariance and tensors, and this answer is only strict to orthogonal coordinate systems, and I'm wondering what other options are there to compute the flux by the divergence theorem and not calculate the divergence in a separate coordinate systems.



      For example, if I have $M={(x,y,z)in mathbb{R^3}: z=x^2+y^2, 0leq zleq 1}$ and the vector field $X:mathbb{R^3} to mathbb{R^{3times 1}}, (x,y,z)to begin{bmatrix} xz \ z \ -frac{z}{2}end{bmatrix}$. Then the euclidean divergence of $X$ is $div (X)=z-1/2$. Using $psi$ as a parametrization of $V$, such that $psi=begin{bmatrix} psi^1 \ psi^2 \ psi^3end{bmatrix}$, would the flux be:



      $$Phi_X(M)=int_{psi^{-1}(V)}bigg(psi^3-frac{1}{2}bigg)dV$$



      such that $dV=sqrt{det(G(psi;(x,y,z)))}dpsi^1dpsi^2dpsi^3$, where $G(psi;(x,y,z))$ is the gram matrix of $psi$ at $(x,y,z)$?







      differential-geometry divergence






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Dec 20 '18 at 19:20







      Bidon

















      asked Dec 20 '18 at 18:58









      BidonBidon

      1218




      1218






















          0






          active

          oldest

          votes












          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3047865%2fdivergence-in-non-cartesian-coordinates%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Mathematics Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3047865%2fdivergence-in-non-cartesian-coordinates%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown