What is the “determinant” of two vectors?Inversion of Hopf's UmlaufsatzWhat does the definition of curvature mean?Calculate the determinant when the sum of odd rows $=$ the sum of even rowsWhat does the notation $P[Xin dx]$ mean?Relations between curvature and area of simple closed plane curves.Prove the curvature of a level set equals divergence of the normalized gradientDefine a parametrized curve $beta:(a,b)rightarrowmathbb R^3$ by $beta(t)=fracdgamma(t)dt$Understanding a particular case of modifying curvature and torsion as opposed to modifying the curveIntegral of the ratio of torsion and curvatureProve that the planar curve obtained by projecting $alpha$ into its osculating plane at $P$ has the same curvature at $P$ as $alpha$.

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What is the “determinant” of two vectors?


Inversion of Hopf's UmlaufsatzWhat does the definition of curvature mean?Calculate the determinant when the sum of odd rows $=$ the sum of even rowsWhat does the notation $P[Xin dx]$ mean?Relations between curvature and area of simple closed plane curves.Prove the curvature of a level set equals divergence of the normalized gradientDefine a parametrized curve $beta:(a,b)rightarrowmathbb R^3$ by $beta(t)=fracdgamma(t)dt$Understanding a particular case of modifying curvature and torsion as opposed to modifying the curveIntegral of the ratio of torsion and curvatureProve that the planar curve obtained by projecting $alpha$ into its osculating plane at $P$ has the same curvature at $P$ as $alpha$.













5












$begingroup$


I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:



$$kappa (t) = fracdet(gamma'(t), gamma''(t)) ^3$$



What is it supposed to mean?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
    $endgroup$
    – Minus One-Twelfth
    6 hours ago











  • $begingroup$
    @MinusOne-Twelfth yes
    $endgroup$
    – user
    6 hours ago










  • $begingroup$
    That is the determinant of their components.
    $endgroup$
    – Bernard
    6 hours ago















5












$begingroup$


I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:



$$kappa (t) = fracdet(gamma'(t), gamma''(t)) ^3$$



What is it supposed to mean?










share|cite|improve this question









$endgroup$











  • $begingroup$
    Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
    $endgroup$
    – Minus One-Twelfth
    6 hours ago











  • $begingroup$
    @MinusOne-Twelfth yes
    $endgroup$
    – user
    6 hours ago










  • $begingroup$
    That is the determinant of their components.
    $endgroup$
    – Bernard
    6 hours ago













5












5








5


1



$begingroup$


I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:



$$kappa (t) = fracdet(gamma'(t), gamma''(t)) ^3$$



What is it supposed to mean?










share|cite|improve this question









$endgroup$




I came across the notation $det(v,w)$ where $v$ and $w$ are vectors. Specifically, it was about the curvature of a plane curve:



$$kappa (t) = fracdet(gamma'(t), gamma''(t)) ^3$$



What is it supposed to mean?







linear-algebra differential-geometry notation determinant






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked 6 hours ago









useruser

613




613











  • $begingroup$
    Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
    $endgroup$
    – Minus One-Twelfth
    6 hours ago











  • $begingroup$
    @MinusOne-Twelfth yes
    $endgroup$
    – user
    6 hours ago










  • $begingroup$
    That is the determinant of their components.
    $endgroup$
    – Bernard
    6 hours ago
















  • $begingroup$
    Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
    $endgroup$
    – Minus One-Twelfth
    6 hours ago











  • $begingroup$
    @MinusOne-Twelfth yes
    $endgroup$
    – user
    6 hours ago










  • $begingroup$
    That is the determinant of their components.
    $endgroup$
    – Bernard
    6 hours ago















$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
$endgroup$
– Minus One-Twelfth
6 hours ago





$begingroup$
Are they 2D vectors? You may want to see this section of the Wikipedia article on Curvature. As you should be able to see from there, $colorbluedet(v,w)$ means $colorbluedet beginpmatrix v_1 & w_1 \ v_2 & w_2endpmatrix$.
$endgroup$
– Minus One-Twelfth
6 hours ago













$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago




$begingroup$
@MinusOne-Twelfth yes
$endgroup$
– user
6 hours ago












$begingroup$
That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago




$begingroup$
That is the determinant of their components.
$endgroup$
– Bernard
6 hours ago










3 Answers
3






active

oldest

votes


















2












$begingroup$

They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).






share|cite|improve this answer









$endgroup$




















    1












    $begingroup$

    In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).



    Seen as an application whose inputs are vectors, the determinant has nice properties:



    1. multilinear, that is linear in each variable:
      $$det(v_1,dots, a v_j+b w_j,dots,v_n)
      =
      a det(v_1,dots, v_j,dots,v_n)
      + bdet(v_1,dots, w_j,dots,v_n)$$


    2. alternating: switching two vectors transforms the determinant in its opposite


    $$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$



    1. The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.

    $$det(e_1,dots,e_n) = 1 $$



    Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.






    share|cite|improve this answer









    $endgroup$








    • 2




      $begingroup$
      I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
      $endgroup$
      – lightxbulb
      4 hours ago



















    0












    $begingroup$

    Vectors in a plane $v,w$ can be written as column matrices: $$v=beginbmatrixv_1\v_2endbmatrix, w=beginbmatrixw_1\w_2endbmatrix.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=beginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbeginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$






    share|cite|improve this answer









    $endgroup$












      Your Answer





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      3 Answers
      3






      active

      oldest

      votes








      3 Answers
      3






      active

      oldest

      votes









      active

      oldest

      votes






      active

      oldest

      votes









      2












      $begingroup$

      They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).






      share|cite|improve this answer









      $endgroup$

















        2












        $begingroup$

        They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).






        share|cite|improve this answer









        $endgroup$















          2












          2








          2





          $begingroup$

          They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).






          share|cite|improve this answer









          $endgroup$



          They formed a matrix by stacking $gamma'(t)$ and $gamma''(t)$ next to each other as column vectors. You can also regard it as the cross product of the two vectors if you extend both with a $z=0$ coordinate and take the z component of the resulting vector (that way you can relate it to the 3d formula in a way).







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 5 hours ago









          lightxbulblightxbulb

          1,115311




          1,115311





















              1












              $begingroup$

              In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).



              Seen as an application whose inputs are vectors, the determinant has nice properties:



              1. multilinear, that is linear in each variable:
                $$det(v_1,dots, a v_j+b w_j,dots,v_n)
                =
                a det(v_1,dots, v_j,dots,v_n)
                + bdet(v_1,dots, w_j,dots,v_n)$$


              2. alternating: switching two vectors transforms the determinant in its opposite


              $$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$



              1. The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.

              $$det(e_1,dots,e_n) = 1 $$



              Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.






              share|cite|improve this answer









              $endgroup$








              • 2




                $begingroup$
                I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
                $endgroup$
                – lightxbulb
                4 hours ago
















              1












              $begingroup$

              In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).



              Seen as an application whose inputs are vectors, the determinant has nice properties:



              1. multilinear, that is linear in each variable:
                $$det(v_1,dots, a v_j+b w_j,dots,v_n)
                =
                a det(v_1,dots, v_j,dots,v_n)
                + bdet(v_1,dots, w_j,dots,v_n)$$


              2. alternating: switching two vectors transforms the determinant in its opposite


              $$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$



              1. The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.

              $$det(e_1,dots,e_n) = 1 $$



              Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.






              share|cite|improve this answer









              $endgroup$








              • 2




                $begingroup$
                I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
                $endgroup$
                – lightxbulb
                4 hours ago














              1












              1








              1





              $begingroup$

              In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).



              Seen as an application whose inputs are vectors, the determinant has nice properties:



              1. multilinear, that is linear in each variable:
                $$det(v_1,dots, a v_j+b w_j,dots,v_n)
                =
                a det(v_1,dots, v_j,dots,v_n)
                + bdet(v_1,dots, w_j,dots,v_n)$$


              2. alternating: switching two vectors transforms the determinant in its opposite


              $$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$



              1. The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.

              $$det(e_1,dots,e_n) = 1 $$



              Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.






              share|cite|improve this answer









              $endgroup$



              In general, the determinant of $n$ vectors $v_1$, $v_2$, $dots$, $v_n$ in $mathbb R^n$ is the determinant of the matrix whose columns are $v_1$, $dots$, $v_n$ (in that order).



              Seen as an application whose inputs are vectors, the determinant has nice properties:



              1. multilinear, that is linear in each variable:
                $$det(v_1,dots, a v_j+b w_j,dots,v_n)
                =
                a det(v_1,dots, v_j,dots,v_n)
                + bdet(v_1,dots, w_j,dots,v_n)$$


              2. alternating: switching two vectors transforms the determinant in its opposite


              $$det(v_1,dots, v_i, dots, v_j,dots,v_n) = det(v_1,dots, v_j, dots, v_i,dots,v_n)$$



              1. The value on the canonical basis $(e_1,dots,e_n)$ of $mathbb R^n$ is $1$.

              $$det(e_1,dots,e_n) = 1 $$



              Actually, it can be proved that the determinant is the unique alternating multilinear form whose value on the canonical basis is $1$. Many (most?) Linear Algebra books use this as a definition of the determinant (before extending the definition to matrices and then linear applications). I think it is equivalent but more satisfying than introducing the determinant by the strange "expansion along a row" formula most PreCalculus textbook use.







              share|cite|improve this answer












              share|cite|improve this answer



              share|cite|improve this answer










              answered 5 hours ago









              TaladrisTaladris

              4,92431933




              4,92431933







              • 2




                $begingroup$
                I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
                $endgroup$
                – lightxbulb
                4 hours ago













              • 2




                $begingroup$
                I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
                $endgroup$
                – lightxbulb
                4 hours ago








              2




              2




              $begingroup$
              I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
              $endgroup$
              – lightxbulb
              4 hours ago





              $begingroup$
              I believe the issue here was not that he didn't know the definition of determinant, but rather the fact that he had a determinant of two vectors rather than a matrix.
              $endgroup$
              – lightxbulb
              4 hours ago












              0












              $begingroup$

              Vectors in a plane $v,w$ can be written as column matrices: $$v=beginbmatrixv_1\v_2endbmatrix, w=beginbmatrixw_1\w_2endbmatrix.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=beginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbeginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$






              share|cite|improve this answer









              $endgroup$

















                0












                $begingroup$

                Vectors in a plane $v,w$ can be written as column matrices: $$v=beginbmatrixv_1\v_2endbmatrix, w=beginbmatrixw_1\w_2endbmatrix.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=beginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbeginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$






                share|cite|improve this answer









                $endgroup$















                  0












                  0








                  0





                  $begingroup$

                  Vectors in a plane $v,w$ can be written as column matrices: $$v=beginbmatrixv_1\v_2endbmatrix, w=beginbmatrixw_1\w_2endbmatrix.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=beginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbeginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$






                  share|cite|improve this answer









                  $endgroup$



                  Vectors in a plane $v,w$ can be written as column matrices: $$v=beginbmatrixv_1\v_2endbmatrix, w=beginbmatrixw_1\w_2endbmatrix.$$ Put several of such column matrices side by side, and you get a square matrix: $$(v,w)=beginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$ The determinant $det(v,w)$ is simply the determinant of this square matrix: $$det(v,w)=detbeginbmatrixv_1&w_1\v_2&w_2endbmatrix.$$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered 17 mins ago









                  edmedm

                  3,6231425




                  3,6231425



























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                      Identify plant with long narrow paired leaves and reddish stems Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?What is this plant with long sharp leaves? Is it a weed?What is this 3ft high, stalky plant, with mid sized narrow leaves?What is this young shrub with opposite ovate, crenate leaves and reddish stems?What is this plant with large broad serrated leaves?Identify this upright branching weed with long leaves and reddish stemsPlease help me identify this bulbous plant with long, broad leaves and white flowersWhat is this small annual with narrow gray/green leaves and rust colored daisy-type flowers?What is this chilli plant?Does anyone know what type of chilli plant this is?Help identify this plant