It shows that V is the dual space of V*?

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    Dual Space
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Discussion Overview

The discussion revolves around the relationship between a vector space \( V \) and its dual space \( V^* \), particularly in the context of finite versus infinite dimensional spaces. Participants explore concepts from differential geometry and linear algebra, questioning the implications of dual spaces and isomorphisms.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants note that the statement "V is the dual space of V*" is only true if \( V \) is finite dimensional, suggesting that writing down bases may clarify the situation.
  • One participant expresses confusion about the linearity of the function and the meaning of the dual space, questioning how the dual space of \( V^* \) relates to linear functions on \( V^* \).
  • Another participant proposes that since the expression \( \langle v, v^* \rangle \) depends only on \( v^* \), it can be treated as a function of \( v^* \) to understand the last step of the argument.
  • A participant explains that for finite dimensional vector spaces, all vector spaces of the same dimension are isomorphic, and that \( V \) is isomorphic to \( V^* \) by choosing a basis and corresponding dual basis, leading to the conclusion that \( (V^*)^* \) is isomorphic to \( V \).
  • One participant introduces a mapping from \( V \) to the space of linear functionals on \( V^* \), describing how an element \( v \) can be sent to a function \( e_v \) that evaluates functionals at \( v \), asserting that this defines an isomorphism.
  • Another participant discusses the relationship between functions and their arguments, suggesting a reciprocal nature where points in the domain can be viewed as functions on functions.

Areas of Agreement / Disagreement

Participants express differing views on the validity of the statement regarding dual spaces, particularly in relation to dimensionality. There is no consensus on the implications of the dual space relationships, and the discussion remains unresolved.

Contextual Notes

Participants highlight that the relationship between \( V \) and \( V^* \) may not hold in infinite dimensions, indicating a limitation in the generalization of their arguments.

Mr.M
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Not my homework
It's in the textbook - lectures of diff geo by s.s.chern
Just put them down in a clearer way
Could anybody explain the questions in the pic ?
http://x7d.xanga.com/be6d931344030137094065/z100635368.jpg"
 
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This is only true if V is finite dimensional. Hint just write down bases.
 
actually i don't understand the last step
Phi is taken out of the sum because it is linear in the 2nd variable ?
And "V is the dual space of V*"looks very confusing
The dual space of V is the set linear functions on V
Now the dual space of V* is the set linear functions on V*?
how can i see that ?
 
i just got another idea
since <v,v*> just depends on v*
so we just treat it as a function of v* and then we have the last step ?
 
If V is a finite dimensional vector space, then V the only invariant of V is its dimension. ALL vector spaces of a given dimension (over the same field) are isomorphic. Since V is clearly isomorphic to V* by picking a basis and corresponding dual basis, this shows that (V*)* must be isomorphic to V since they have the same basis. (This fails in infinite dimensions.)

What I presume you're looking at is a 'nice' bijection that sends v in V to the function on V* that sends f to f(v). Notice how an element of v can be sent to a function, call it e_v, and think of it as evaluation at v. This is a linear functional on the space of linear functionals:

e_v(f)=f(v).

This defines a map from V to the space of linear functionals on V*

v--->e_v

it is straight foward to show this is an isomorphism.
 
if f(x) is a number, then f sends x to a number, and x sends f to a number. so f is a function of x, and x is a function of f. so points of the domain are functions on functions.
 

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