Theorem about smooth functions on manifolds












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Here is a theorem as it appears in Spivak's Differential Geometry Vol. 1.




THEOREM. (1) If $f:M^nto N^m$ has rank $k$ at $p$, then there is some coordinate system $(x,U)$ around $p$ and some coordinate system $(y,V)$ around $f(p)$ with $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,psi^{k+1}(a),ldots,psi^m(a)).$$ Moreover, given any coordinate system $y,$ appropriate coordinate system on $N$ can be obtained merely by permuting the component functions of $y.$



(2) If $f$ has rank $k$ in a neighborhood of $p,$ then there are coordinate systems $(x,U)$ and $(y,V)$ such that $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,0,ldots,0).$$




My question is: how am I supposed to interpret this this result? The only way I can memorize theorems and proofs is by packing the result into a short mnemonic (usually just an easy to remember or intuitive fact), but I have no idea what the point of this theorem is. Is there anyone who can shed some intuitive understanding of what this theorem is saying.










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  • 4




    $begingroup$
    The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
    $endgroup$
    – Max
    Dec 16 '18 at 2:12
















0












$begingroup$


Here is a theorem as it appears in Spivak's Differential Geometry Vol. 1.




THEOREM. (1) If $f:M^nto N^m$ has rank $k$ at $p$, then there is some coordinate system $(x,U)$ around $p$ and some coordinate system $(y,V)$ around $f(p)$ with $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,psi^{k+1}(a),ldots,psi^m(a)).$$ Moreover, given any coordinate system $y,$ appropriate coordinate system on $N$ can be obtained merely by permuting the component functions of $y.$



(2) If $f$ has rank $k$ in a neighborhood of $p,$ then there are coordinate systems $(x,U)$ and $(y,V)$ such that $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,0,ldots,0).$$




My question is: how am I supposed to interpret this this result? The only way I can memorize theorems and proofs is by packing the result into a short mnemonic (usually just an easy to remember or intuitive fact), but I have no idea what the point of this theorem is. Is there anyone who can shed some intuitive understanding of what this theorem is saying.










share|cite|improve this question









$endgroup$








  • 4




    $begingroup$
    The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
    $endgroup$
    – Max
    Dec 16 '18 at 2:12














0












0








0


1



$begingroup$


Here is a theorem as it appears in Spivak's Differential Geometry Vol. 1.




THEOREM. (1) If $f:M^nto N^m$ has rank $k$ at $p$, then there is some coordinate system $(x,U)$ around $p$ and some coordinate system $(y,V)$ around $f(p)$ with $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,psi^{k+1}(a),ldots,psi^m(a)).$$ Moreover, given any coordinate system $y,$ appropriate coordinate system on $N$ can be obtained merely by permuting the component functions of $y.$



(2) If $f$ has rank $k$ in a neighborhood of $p,$ then there are coordinate systems $(x,U)$ and $(y,V)$ such that $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,0,ldots,0).$$




My question is: how am I supposed to interpret this this result? The only way I can memorize theorems and proofs is by packing the result into a short mnemonic (usually just an easy to remember or intuitive fact), but I have no idea what the point of this theorem is. Is there anyone who can shed some intuitive understanding of what this theorem is saying.










share|cite|improve this question









$endgroup$




Here is a theorem as it appears in Spivak's Differential Geometry Vol. 1.




THEOREM. (1) If $f:M^nto N^m$ has rank $k$ at $p$, then there is some coordinate system $(x,U)$ around $p$ and some coordinate system $(y,V)$ around $f(p)$ with $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,psi^{k+1}(a),ldots,psi^m(a)).$$ Moreover, given any coordinate system $y,$ appropriate coordinate system on $N$ can be obtained merely by permuting the component functions of $y.$



(2) If $f$ has rank $k$ in a neighborhood of $p,$ then there are coordinate systems $(x,U)$ and $(y,V)$ such that $$ycirc fcirc x^{-1}(a^1,ldots, a^n)=(a^1,ldots, a^k,0,ldots,0).$$




My question is: how am I supposed to interpret this this result? The only way I can memorize theorems and proofs is by packing the result into a short mnemonic (usually just an easy to remember or intuitive fact), but I have no idea what the point of this theorem is. Is there anyone who can shed some intuitive understanding of what this theorem is saying.







differential-geometry differential-topology smooth-manifolds smooth-functions






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asked Dec 16 '18 at 1:58









D. BroganD. Brogan

638513




638513








  • 4




    $begingroup$
    The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
    $endgroup$
    – Max
    Dec 16 '18 at 2:12














  • 4




    $begingroup$
    The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
    $endgroup$
    – Max
    Dec 16 '18 at 2:12








4




4




$begingroup$
The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
$endgroup$
– Max
Dec 16 '18 at 2:12




$begingroup$
The point is that if a function has constant rank in a neighborhood, then in suitable coordinate patches it "looks like" the standard projection $mathbb{R}^n to mathbb{R}^k subset mathbb{R}^m$. Similarly, even if the function just has rank $k$ at a single point, the first $k$ can be chosen to look "standard" on a suitable coordinate patch. You can think of it as an analogue to choosing a nice basis for a linear transformation which puts it in a standard form (say, upper triangular, or diagonal if possible).
$endgroup$
– Max
Dec 16 '18 at 2:12










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