Double Dual Example: V=R^2 to V** Transformation

In summary, the conversation discusses the natural transformation from a vector space V to its double dual V**, where V is a vector space over K and B is a basis of V. It also mentions the construction of a basis for V** and the isomorphism between V and V*. The concept of a generic functional is also introduced. Finally, the conversation concludes with the idea of a natural mapping from V to V** based on the evaluation of a fixed vector in V.
  • #1
Damidami
94
0
Hi,
I'm trying to understand the natural transformation from V to V**, and the book has the theory but I think I'm needing an example.

Lets say V=R^2 a vector space over K=R.
B={(1,1),(1,-1)} a basis of V
B={x/2 + y/2, x/2 - y/2} a basis of V*

v = (3,2) a vector of V

I want to get a vector of V** (a funtional of V*), it is supposed to be
Lf_v = f(v)
with f in V*

But who is f? a generic funtional? let's say
f=ax+by
then
f(v) = 3a + 2b ?

then Lv = 3a + 2b?

And I can't also see how to construct a basis for V**

Please, any help will be appreciated. Thanks!
 
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  • #2
Lets say we have a basis ##\{\,v_k\,\}## of ##V##. Then we get a basis for ##V^*## by ##\{\,f_k\, : \, v_m \longmapsto \langle v_m,v_k \rangle\,\}##. In coordinates the two are indistinguishable, their usage changed. Repeating this process for ##V^*## as basic vector space leads you automatically back to ##V##.
 
  • #3
Do you have a question?
 
  • #4
If ##v## is a vector in ##V## then the rule ##l→l(v)## defines an element of ##V^{**}##. That is: the evaluation map at a fixed vector defines a linear map of the dual vector space into the base field. This mapping of ##V## into ##V^{**}## is natural because it is defined without a basis for ##V##.

##V## is also isomorphic to ##V^{*}## but there is no natural isomorphism.
 
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Related to Double Dual Example: V=R^2 to V** Transformation

1. What is a Double Dual Transformation?

A Double Dual Transformation is a mathematical operation that transforms a vector space V to its double dual V**. This means that for any vector x in V, the double dual transformation will map it to a linear functional on V**, which is a vector space of linear functionals on V.

2. What is the significance of V=R^2 in this transformation?

In this transformation, V=R^2 refers to the vector space of two-dimensional real numbers. This means that the vectors in V are ordered pairs of real numbers (x,y). This choice of vector space is commonly used in linear algebra and allows for a simpler understanding of the double dual transformation.

3. How is the double dual transformation represented?

The double dual transformation is represented by the map T: V -> V**, where T is a linear transformation from V to V**. This map can be represented by a matrix or a set of equations, depending on the basis chosen for V and V**.

4. What is the purpose of the double dual transformation?

The double dual transformation is useful in many areas of mathematics, such as functional analysis and differential geometry. It allows for the study of vector spaces through their dual spaces, providing a deeper understanding and new perspectives on the original space.

5. Can the double dual transformation be extended to higher dimensions?

Yes, the double dual transformation can be extended to higher dimensions. It can be applied to any finite-dimensional vector space, not just V=R^2. However, as the dimension of the vector space increases, the complexity of the double dual transformation also increases.

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