Why is the Jacobi Matrix not a matrix?












1














In a textbook im reading about manifolds they write:




Let $W subset mathbb{ R } ^n $ be an open set and $ F : W rightarrow mathbb{ R } ^ m $ a $C ^ k $ function such that for every point $ p in M := F ^ { -1 }( 0 $ the derivative $DF( p ): mathbb{ R } ^ n rightarrow mathbb{ R } ^ m$ has rang $m $. Then $ M $ is a $C ^ k $-manifold with dimension $d = n - m$.




Shouldnt the derivate be a function from the type $ DF(p) : mathbb{R}^n rightarrow mathbb{R } ^ { m times n }$ ?



The first time I saw this I gussed it was a mistake in the textbook but it seems to appear multiple times afterwards. Do I get something wrong there?










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  • 1




    No, a point $p$ has already been plugged in.
    – Randall
    Nov 28 '18 at 12:22






  • 1




    You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
    – Math_QED
    Nov 28 '18 at 12:25








  • 1




    The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
    – Jakobian
    Nov 28 '18 at 14:25






  • 1




    To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
    – Randall
    Nov 28 '18 at 18:03






  • 1




    Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
    – Arjihad
    Nov 28 '18 at 18:08
















1














In a textbook im reading about manifolds they write:




Let $W subset mathbb{ R } ^n $ be an open set and $ F : W rightarrow mathbb{ R } ^ m $ a $C ^ k $ function such that for every point $ p in M := F ^ { -1 }( 0 $ the derivative $DF( p ): mathbb{ R } ^ n rightarrow mathbb{ R } ^ m$ has rang $m $. Then $ M $ is a $C ^ k $-manifold with dimension $d = n - m$.




Shouldnt the derivate be a function from the type $ DF(p) : mathbb{R}^n rightarrow mathbb{R } ^ { m times n }$ ?



The first time I saw this I gussed it was a mistake in the textbook but it seems to appear multiple times afterwards. Do I get something wrong there?










share|cite|improve this question


















  • 1




    No, a point $p$ has already been plugged in.
    – Randall
    Nov 28 '18 at 12:22






  • 1




    You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
    – Math_QED
    Nov 28 '18 at 12:25








  • 1




    The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
    – Jakobian
    Nov 28 '18 at 14:25






  • 1




    To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
    – Randall
    Nov 28 '18 at 18:03






  • 1




    Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
    – Arjihad
    Nov 28 '18 at 18:08














1












1








1







In a textbook im reading about manifolds they write:




Let $W subset mathbb{ R } ^n $ be an open set and $ F : W rightarrow mathbb{ R } ^ m $ a $C ^ k $ function such that for every point $ p in M := F ^ { -1 }( 0 $ the derivative $DF( p ): mathbb{ R } ^ n rightarrow mathbb{ R } ^ m$ has rang $m $. Then $ M $ is a $C ^ k $-manifold with dimension $d = n - m$.




Shouldnt the derivate be a function from the type $ DF(p) : mathbb{R}^n rightarrow mathbb{R } ^ { m times n }$ ?



The first time I saw this I gussed it was a mistake in the textbook but it seems to appear multiple times afterwards. Do I get something wrong there?










share|cite|improve this question













In a textbook im reading about manifolds they write:




Let $W subset mathbb{ R } ^n $ be an open set and $ F : W rightarrow mathbb{ R } ^ m $ a $C ^ k $ function such that for every point $ p in M := F ^ { -1 }( 0 $ the derivative $DF( p ): mathbb{ R } ^ n rightarrow mathbb{ R } ^ m$ has rang $m $. Then $ M $ is a $C ^ k $-manifold with dimension $d = n - m$.




Shouldnt the derivate be a function from the type $ DF(p) : mathbb{R}^n rightarrow mathbb{R } ^ { m times n }$ ?



The first time I saw this I gussed it was a mistake in the textbook but it seems to appear multiple times afterwards. Do I get something wrong there?







calculus derivatives manifolds






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share|cite|improve this question











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asked Nov 28 '18 at 12:18









Arjihad

383111




383111








  • 1




    No, a point $p$ has already been plugged in.
    – Randall
    Nov 28 '18 at 12:22






  • 1




    You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
    – Math_QED
    Nov 28 '18 at 12:25








  • 1




    The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
    – Jakobian
    Nov 28 '18 at 14:25






  • 1




    To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
    – Randall
    Nov 28 '18 at 18:03






  • 1




    Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
    – Arjihad
    Nov 28 '18 at 18:08














  • 1




    No, a point $p$ has already been plugged in.
    – Randall
    Nov 28 '18 at 12:22






  • 1




    You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
    – Math_QED
    Nov 28 '18 at 12:25








  • 1




    The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
    – Jakobian
    Nov 28 '18 at 14:25






  • 1




    To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
    – Randall
    Nov 28 '18 at 18:03






  • 1




    Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
    – Arjihad
    Nov 28 '18 at 18:08








1




1




No, a point $p$ has already been plugged in.
– Randall
Nov 28 '18 at 12:22




No, a point $p$ has already been plugged in.
– Randall
Nov 28 '18 at 12:22




1




1




You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
– Math_QED
Nov 28 '18 at 12:25






You are wrong. The derivative is a linear map $mathbb{R}^n to mathbb{R}^m$ and its matrix (for the usual bases) is the jacobian matrix.
– Math_QED
Nov 28 '18 at 12:25






1




1




The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
– Jakobian
Nov 28 '18 at 14:25




The matrix is $mtimes n$, yes. $A$ say. We then take a vector $xin mathbb{R}^n$, and what we get is $Axin mathbb{R}^m$. So the derivative is a linear transformation from $mathbb{R}^n$ to $mathbb{R}^m$.
– Jakobian
Nov 28 '18 at 14:25




1




1




To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
– Randall
Nov 28 '18 at 18:03




To repeat, yes, the derivative is a matrix--you're right--but only AFTER a point has been plugged in. Compare $DF(p)$ vs $DF$.
– Randall
Nov 28 '18 at 18:03




1




1




Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
– Arjihad
Nov 28 '18 at 18:08




Oh okay. The difference between $DF(p)$ and $DF$ clearly makes a difference. Thanks for your help.
– Arjihad
Nov 28 '18 at 18:08










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