Difference between revisions of "Notes:Differential (manifolds)"

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:* {{MM|1=dF_p\left(\frac{\partial}{\partial x^i}\Big\vert_p\right)=dF_p\left(d(\varphi^{-1})_{\hat{p} }\left(\frac{\partial}{\partial x^i}\Big\vert_{\hat{p} }\right)\right) }}{{MM|1==d(\psi^{-1})_{\hat{F}(\hat{p})}\left(d\hat{F}_{\hat{P} }\left(\frac{\partial}{\partial x^i}\Big\vert_{\hat{p} }\right)\right) }}{{MM|1==d(\psi^{-1})_{\hat{F}(\hat{P})}\left(\frac{\partial \hat{F}^j}{\partial x^i}(\hat{p})\frac{\partial}{\partial}{y^j}\Big\vert_{\hat{F}(\hat{p})}\right)}}{{MM|1==\frac{\partial\hat{F}^j}{\partial x^i}(\hat{P})\frac{\partial}{\partial y^j}\Big\vert_{F(p)} }} and this is apparently a matrix! It's very easy to forget what the operations are, what their elements are, so forth. This notes page is a reminder for me. Example taken from page 62 of [[Books:Introduction to Smooth Manifolds - John M. Lee]]
 
:* {{MM|1=dF_p\left(\frac{\partial}{\partial x^i}\Big\vert_p\right)=dF_p\left(d(\varphi^{-1})_{\hat{p} }\left(\frac{\partial}{\partial x^i}\Big\vert_{\hat{p} }\right)\right) }}{{MM|1==d(\psi^{-1})_{\hat{F}(\hat{p})}\left(d\hat{F}_{\hat{P} }\left(\frac{\partial}{\partial x^i}\Big\vert_{\hat{p} }\right)\right) }}{{MM|1==d(\psi^{-1})_{\hat{F}(\hat{P})}\left(\frac{\partial \hat{F}^j}{\partial x^i}(\hat{p})\frac{\partial}{\partial}{y^j}\Big\vert_{\hat{F}(\hat{p})}\right)}}{{MM|1==\frac{\partial\hat{F}^j}{\partial x^i}(\hat{P})\frac{\partial}{\partial y^j}\Big\vert_{F(p)} }} and this is apparently a matrix! It's very easy to forget what the operations are, what their elements are, so forth. This notes page is a reminder for me. Example taken from page 62 of [[Books:Introduction to Smooth Manifolds - John M. Lee]]
 
==Definitions==
 
==Definitions==
 +
* '''Smoothness of a map ({{AKA}}: {{M|C^\infty}}''' - a map, {{M|f:U\subseteq\mathbb{R}^n\rightarrow V\subseteq\mathbb{R}^m}} is ''smooth'' if it has continuous partial derivatives of all orders.
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* '''[[Smooth map]]''' - Given [[smooth manifold|smooth manifolds]], {{M|M}} and {{M|N}} and a [[map]], {{M|F:M\rightarrow N}}. {{M|F}} is a smooth map if:
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** {{M|\forall p\in M\ \exists (U,\varphi)\in\mathcal{A}_M\ \exists(V,\psi)\in\mathcal{A}_N[p\in U\wedge F(p)\in V\wedge F(U)\subseteq V\implies \psi\circ F\circ \varphi^{-1}:\varphi(U)\rightarrow\psi(V)\text{ is smooth}]}}<ref group="Note">Lee uses {{M|\wedge}} (and) where I have written {{M|\implies}}</ref>
 
* '''[[Derivation]]''' - a map, {{M|\omega:C^\infty(M)\rightarrow\mathbb{R} }} that is [[linear map|linear]] and satisfies the [[Leibniz rule]]:
 
* '''[[Derivation]]''' - a map, {{M|\omega:C^\infty(M)\rightarrow\mathbb{R} }} that is [[linear map|linear]] and satisfies the [[Leibniz rule]]:
 
** {{M|1=\forall f,g\in C^\infty(M)[w(fg)=f(a)w(g)+g(a)w(f)]}} (sometimes called the product rule)
 
** {{M|1=\forall f,g\in C^\infty(M)[w(fg)=f(a)w(g)+g(a)w(f)]}} (sometimes called the product rule)
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* '''Differential of {{M|F}} at {{M|p}}'''. For [[smooth manifold|smooth manifolds]], {{M|M}} and {{M|N}} and a [[smooth map]], {{M|F:M\rightarrow N}} we define the ''differential of {{M|F}} as {{M|p\in M}}'' as:
 
* '''Differential of {{M|F}} at {{M|p}}'''. For [[smooth manifold|smooth manifolds]], {{M|M}} and {{M|N}} and a [[smooth map]], {{M|F:M\rightarrow N}} we define the ''differential of {{M|F}} as {{M|p\in M}}'' as:
 
** {{M|dF_p:T_pM\rightarrow T_{F(p)}M}} given by: {{M|1=dF_p:v\mapsto\left\{:C(N)R:fv(fF)\right.}}
 
** {{M|dF_p:T_pM\rightarrow T_{F(p)}M}} given by: {{M|1=dF_p:v\mapsto\left\{:C(N)R:fv(fF)\right.}}
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==Notes==
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<references group="Note"/>

Revision as of 18:53, 14 May 2016

Reason for page: I'm encountering expressions like:
  • dFp(xi|p)=dFp(d(φ1)ˆp(xi|ˆp))=d(ψ1)ˆF(ˆp)(dˆFˆP(xi|ˆp))=d(ψ1)ˆF(ˆP)(ˆFjxi(ˆp)yj|ˆF(ˆp))=ˆFjxi(ˆP)yj|F(p) and this is apparently a matrix! It's very easy to forget what the operations are, what their elements are, so forth. This notes page is a reminder for me. Example taken from page 62 of Books:Introduction to Smooth Manifolds - John M. Lee

Definitions

  • Smoothness of a map (AKA: C - a map, f:URnVRm is smooth if it has continuous partial derivatives of all orders.
  • Smooth map - Given smooth manifolds, M and N and a map, F:MN. F is a smooth map if:
    • pM (U,φ)AM (V,ψ)AN[pUF(p)VF(U)VψFφ1:φ(U)ψ(V) is smooth][Note 1]
  • Derivation - a map, ω:C(M)R that is linear and satisfies the Leibniz rule:
    • f,gC(M)[w(fg)=f(a)w(g)+g(a)w(f)] (sometimes called the product rule)
  • Tangent space to M at p TpM is a vector space called the tangent space to M at p, it's the set of all derivations of C(M)
  • Differential of F at p. For smooth manifolds, M and N and a smooth map, F:MN we define the differential of F as pM as:
    • dFp:TpMTF(p)M given by: dFp:v{:C(N)R:fv(fF)

Notes

  1. Jump up Lee uses (and) where I have written