Finite Dimensional Inner-Product Space Equals its Dual?

In summary, the conversation discusses the relationship between a finite dimensional inner-product space and its dual space. While the Reisz Representation theorem states that they are isomorphic, some argue that they are equal. However, it is clarified that they are only isomorphic and not truly equal. The conversation also mentions the isomorphism between V and V**, which can be defined without an inner product or choice of bases.
  • #1
HyperbolicMan
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Finite Dimensional Inner-Product Space Equals its Dual!?

Let V be a finite dimensional inner-product space. Then V is 'essentially' equal to its dual space V'.

By the Reisz Representation theorem, V is isomorphic to V'. However, I've been told that V=V', which I am having a hard time believing. It seems to me that the two spaces do not contain the same elements: V' contains linear functionals, while V contains any kind of vectors. Therefore, V does not equal V'.

Could someone clear this up for me? Is V only isomorphic to V', or are the two spaces REALLY equal?

Thanks!
 
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  • #2


They are isomorphic, not equal. Hence the phrase "essentially equal".

You only need the Riesz representation theorem when V is infinite-dimensional, since you can easily see that any two n-dimensional vector spaces (with the same n) are isomorphic.

The isomorphism between V and V** is more interesting, because it can be defined without an inner product or a choice of bases for V and V**. The function f:V→V** defined by f(x)(ω)=ω(x) for all ω in V* and all x in V is such an isomorphism.
 
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Related to Finite Dimensional Inner-Product Space Equals its Dual?

What is a finite dimensional inner-product space?

A finite dimensional inner-product space is a mathematical concept that refers to a vector space with a finite number of basis vectors and an inner product defined on it. It is a generalization of Euclidean space and is often used in linear algebra and functional analysis.

What is the dual space of a finite dimensional inner-product space?

The dual space of a finite dimensional inner-product space is the set of all linear functionals on that space. In other words, it is the space of all linear maps from the original space to the field of scalars (usually the real or complex numbers). This dual space is also a vector space, and has the same dimension as the original space.

How is a finite dimensional inner-product space related to its dual?

In a finite dimensional inner-product space, the dual space is isomorphic to the original space. This means that there is a one-to-one correspondence between the two spaces, and any property or operation defined on one space can be translated to the other space. This is known as the Riesz representation theorem.

What is the significance of a finite dimensional inner-product space being equal to its dual?

This equality means that the finite dimensional inner-product space is self-dual, and that every vector in the space has a unique dual vector. This has important implications in applications such as quantum mechanics and signal processing, where the dual space is used to represent physical quantities and signals.

What is an example of a finite dimensional inner-product space equal to its dual?

An example of a finite dimensional inner-product space equal to its dual is the vector space of n-dimensional complex-valued matrices with the standard inner product. The dual space of this vector space is the space of n-dimensional complex-valued matrices with the conjugate transpose as the inner product. Both spaces have the same dimension, and every matrix has a unique dual matrix.

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