Linear functionals on a normed vector space

In summary, the Hahn-Banach theorem states that in a normed vector space, if x is in X and X^* is the space of bounded linear functionals on X, then there exists a continuous function such that f(x)=\|x\| and \|f\|\leq 1. This theorem is useful for determining if x = 0 in a normed space, as it guarantees the existence of a non-zero functional for any non-zero x. However, this may not hold true for all metric spaces, as shown by the example of L^{1/2}(\mathbb{R}).
  • #1
AxiomOfChoice
533
1
I have a question: If [itex]x\in X[/itex] is a normed vector space, [itex]X^*[/itex] is the space of bounded linear functionals on [itex]X[/itex], and [itex]f(x) = 0[/itex] for every [itex]f\in X^*[/itex], is it true that [itex]x = 0[/itex]? I'm reasonably confident this has to be the case, but why? The converse is obviously true, but I don't see why there couldn't be an example of a normed space for which all the functionals in [itex]X^*[/itex] are zero at some other value of [itex]x[/itex]...
 
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  • #2
Start by considering expanding [itex]x[/itex] in a basis, dual some basis of [itex]X^*[/itex]. Clearly for the basis [itex]\{f_k\}[/itex] and dual basis [itex]\{e^k\}[/itex](if there is one) of [itex]X[/itex] you have [itex] x = x_k e^k [/itex] where [itex] x_k = f_k(x)[/itex].

The question then becomes whether there exists such a dual basis. You don't have to worry about considering every element of [itex]X^*[/itex] but rather only a basis. Finally the fact that you have a metric space may shed some light on this question.
 
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  • #3
You will need the Hahn-Banach theorem for this. It states exactly what you want:


If V is a normed vector space and if z is in V, then there is a continuous function such that [itex]f(z)=\|z\|[/itex] and such that [itex]\|f\|\leq 1[/itex].​

The correspond result for metric spaces may fail. For example

[tex]L^{1/2}(\mathbb{R})=\{f:\mathbb{R}\rightarrow \mathbb{R}~\vert~\int_{-\infty}^{+\infty}{\sqrt{f}}<+\infty\}[/tex]

with metric

[tex]d(f,g)=\int_{-\infty}^{+\infty}{\sqrt{f-g}}[/tex]

is a metric vector space such that 0 is its only continuous functional!
 
  • #4
micromass said:
You will need the Hahn-Banach theorem for this. It states exactly what you want:


If V is a normed vector space and if z is in V, then there is a continuous function such that [itex]f(z)=\|z\|[/itex] and such that [itex]\|f\|\leq 1[/itex].​

Haha...yep, that's perfect! Thanks a lot!
 

Related to Linear functionals on a normed vector space

What is a linear functional?

A linear functional is a function that maps a vector space to its underlying field of scalars, while preserving the vector space's algebraic structure. In simpler terms, it is a function that takes in vectors and outputs a single scalar value, while obeying certain rules of linearity.

What is a normed vector space?

A normed vector space is a vector space equipped with a norm function, which assigns a non-negative length or size to each vector in the space. This allows for the concept of distance and convergence to be defined, making it a useful tool in studying linear functionals.

What are some examples of linear functionals?

Some examples of linear functionals include the dot product, which takes in two vectors and outputs a scalar value, and the integral operator, which takes in a function and outputs a scalar value based on the area under the curve.

What is the dual space of a normed vector space?

The dual space of a normed vector space is the set of all continuous linear functionals on that space. In other words, it is the set of all functions that map vectors in the space to scalar values, while satisfying certain continuity and linearity conditions.

How are linear functionals related to linear transformations?

There is a close relationship between linear functionals and linear transformations. In fact, every linear functional can be represented as a linear transformation, and vice versa. This relationship is useful in understanding the properties and applications of both concepts.

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