Why is the minimum distance between two conics along their common normal?












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Throughout my highschool mathematics for coordinate and as well as 3-D geometry.Many All formulae regarding the minimum distance between two curves are derived using the fact that the minimum distance is along their common normal.



Intuitively it's very obvious you draw a parabola, a circle whatever. The shortest distance is always along the common normal but algebraically or using calculus what would be a more mathematical proof?










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  • $begingroup$
    The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
    $endgroup$
    – user10354138
    Nov 30 '18 at 12:09
















0












$begingroup$


Throughout my highschool mathematics for coordinate and as well as 3-D geometry.Many All formulae regarding the minimum distance between two curves are derived using the fact that the minimum distance is along their common normal.



Intuitively it's very obvious you draw a parabola, a circle whatever. The shortest distance is always along the common normal but algebraically or using calculus what would be a more mathematical proof?










share|cite|improve this question









$endgroup$












  • $begingroup$
    The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
    $endgroup$
    – user10354138
    Nov 30 '18 at 12:09














0












0








0





$begingroup$


Throughout my highschool mathematics for coordinate and as well as 3-D geometry.Many All formulae regarding the minimum distance between two curves are derived using the fact that the minimum distance is along their common normal.



Intuitively it's very obvious you draw a parabola, a circle whatever. The shortest distance is always along the common normal but algebraically or using calculus what would be a more mathematical proof?










share|cite|improve this question









$endgroup$




Throughout my highschool mathematics for coordinate and as well as 3-D geometry.Many All formulae regarding the minimum distance between two curves are derived using the fact that the minimum distance is along their common normal.



Intuitively it's very obvious you draw a parabola, a circle whatever. The shortest distance is always along the common normal but algebraically or using calculus what would be a more mathematical proof?







calculus






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asked Nov 30 '18 at 12:01









Avnish KabajAvnish Kabaj

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174111












  • $begingroup$
    The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
    $endgroup$
    – user10354138
    Nov 30 '18 at 12:09


















  • $begingroup$
    The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
    $endgroup$
    – user10354138
    Nov 30 '18 at 12:09
















$begingroup$
The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
$endgroup$
– user10354138
Nov 30 '18 at 12:09




$begingroup$
The first order variation is $2mathbf{x}_{Ato B}cdotmathrm{d}mathbf{x}_{Ato B}$.
$endgroup$
– user10354138
Nov 30 '18 at 12:09










1 Answer
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This is about two curves $smapsto{bf f}(s)$ and $tmapsto{bf g}(t)$ in ${mathbb R}^n$ and necessary conditions for a local minimum (or maximum) of the distance between two (non-colliding) points on these two curves. The objective function is
$$Phi(s,t):=|{bf f}(s)-{bf g}(t)|^2=bigl( {bf f}(s)-{bf g}(t)bigr)cdotbigl({bf f}(s)-{bf g}(t)bigr) .$$
Assume that for the parameter values $s_0$ and $t_0$ we have ${bf d}:={bf f}(s_0)-{bf g}(t_0)ne{bf 0}$, and that $Phi$ assumes a local minimum at $(s_0,t_0)$. Then
$$Phi_s(s_0,t_0)=2{bf f}'(s_0)cdot({bf f}(s_0)-{bf g}(t_0)bigr)=0quad wedgequadPhi_t(s_0,t_0)=-2{bf g}'(t_0)cdotbigl({bf f}(s_0)-{bf g}(t_0)bigr)=0 .$$
But this is saying that ${bf d}perp{bf f}'(s_0)$ and at the same time ${bf d}perp{bf g}'(t_0)$.






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    $begingroup$

    This is about two curves $smapsto{bf f}(s)$ and $tmapsto{bf g}(t)$ in ${mathbb R}^n$ and necessary conditions for a local minimum (or maximum) of the distance between two (non-colliding) points on these two curves. The objective function is
    $$Phi(s,t):=|{bf f}(s)-{bf g}(t)|^2=bigl( {bf f}(s)-{bf g}(t)bigr)cdotbigl({bf f}(s)-{bf g}(t)bigr) .$$
    Assume that for the parameter values $s_0$ and $t_0$ we have ${bf d}:={bf f}(s_0)-{bf g}(t_0)ne{bf 0}$, and that $Phi$ assumes a local minimum at $(s_0,t_0)$. Then
    $$Phi_s(s_0,t_0)=2{bf f}'(s_0)cdot({bf f}(s_0)-{bf g}(t_0)bigr)=0quad wedgequadPhi_t(s_0,t_0)=-2{bf g}'(t_0)cdotbigl({bf f}(s_0)-{bf g}(t_0)bigr)=0 .$$
    But this is saying that ${bf d}perp{bf f}'(s_0)$ and at the same time ${bf d}perp{bf g}'(t_0)$.






    share|cite|improve this answer









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      0












      $begingroup$

      This is about two curves $smapsto{bf f}(s)$ and $tmapsto{bf g}(t)$ in ${mathbb R}^n$ and necessary conditions for a local minimum (or maximum) of the distance between two (non-colliding) points on these two curves. The objective function is
      $$Phi(s,t):=|{bf f}(s)-{bf g}(t)|^2=bigl( {bf f}(s)-{bf g}(t)bigr)cdotbigl({bf f}(s)-{bf g}(t)bigr) .$$
      Assume that for the parameter values $s_0$ and $t_0$ we have ${bf d}:={bf f}(s_0)-{bf g}(t_0)ne{bf 0}$, and that $Phi$ assumes a local minimum at $(s_0,t_0)$. Then
      $$Phi_s(s_0,t_0)=2{bf f}'(s_0)cdot({bf f}(s_0)-{bf g}(t_0)bigr)=0quad wedgequadPhi_t(s_0,t_0)=-2{bf g}'(t_0)cdotbigl({bf f}(s_0)-{bf g}(t_0)bigr)=0 .$$
      But this is saying that ${bf d}perp{bf f}'(s_0)$ and at the same time ${bf d}perp{bf g}'(t_0)$.






      share|cite|improve this answer









      $endgroup$
















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        0





        $begingroup$

        This is about two curves $smapsto{bf f}(s)$ and $tmapsto{bf g}(t)$ in ${mathbb R}^n$ and necessary conditions for a local minimum (or maximum) of the distance between two (non-colliding) points on these two curves. The objective function is
        $$Phi(s,t):=|{bf f}(s)-{bf g}(t)|^2=bigl( {bf f}(s)-{bf g}(t)bigr)cdotbigl({bf f}(s)-{bf g}(t)bigr) .$$
        Assume that for the parameter values $s_0$ and $t_0$ we have ${bf d}:={bf f}(s_0)-{bf g}(t_0)ne{bf 0}$, and that $Phi$ assumes a local minimum at $(s_0,t_0)$. Then
        $$Phi_s(s_0,t_0)=2{bf f}'(s_0)cdot({bf f}(s_0)-{bf g}(t_0)bigr)=0quad wedgequadPhi_t(s_0,t_0)=-2{bf g}'(t_0)cdotbigl({bf f}(s_0)-{bf g}(t_0)bigr)=0 .$$
        But this is saying that ${bf d}perp{bf f}'(s_0)$ and at the same time ${bf d}perp{bf g}'(t_0)$.






        share|cite|improve this answer









        $endgroup$



        This is about two curves $smapsto{bf f}(s)$ and $tmapsto{bf g}(t)$ in ${mathbb R}^n$ and necessary conditions for a local minimum (or maximum) of the distance between two (non-colliding) points on these two curves. The objective function is
        $$Phi(s,t):=|{bf f}(s)-{bf g}(t)|^2=bigl( {bf f}(s)-{bf g}(t)bigr)cdotbigl({bf f}(s)-{bf g}(t)bigr) .$$
        Assume that for the parameter values $s_0$ and $t_0$ we have ${bf d}:={bf f}(s_0)-{bf g}(t_0)ne{bf 0}$, and that $Phi$ assumes a local minimum at $(s_0,t_0)$. Then
        $$Phi_s(s_0,t_0)=2{bf f}'(s_0)cdot({bf f}(s_0)-{bf g}(t_0)bigr)=0quad wedgequadPhi_t(s_0,t_0)=-2{bf g}'(t_0)cdotbigl({bf f}(s_0)-{bf g}(t_0)bigr)=0 .$$
        But this is saying that ${bf d}perp{bf f}'(s_0)$ and at the same time ${bf d}perp{bf g}'(t_0)$.







        share|cite|improve this answer












        share|cite|improve this answer



        share|cite|improve this answer










        answered Nov 30 '18 at 16:32









        Christian BlatterChristian Blatter

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        172k7113326






























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