Can Any Inner Product Be Defined in Infinite Dimensional Vector Spaces?

However, the question still remains regarding how this applies to infinite dimensional spaces, particularly in the context of Hilbert space used in quantum mechanics. While a Hilbert space must have an inner product defined on it, the specific choice of inner product can vary and may not always be explicitly stated. This could potentially cause confusion or discrepancies in different sources.
  • #1
neelakash
511
1
Hi everyone,
I need a clarification:I read in E. Butkov's book that an inner product may always be imposed on a finite dimensional linear vector space in a variety of ways...Butkov does not explain the point...Can anyone please clarify this?

I wonder what it would be for an infinite dimensional case...As we all know that Hilbert space used in quantum mechanics is an infinite dimensional space. Yet all the books almost inherently define the scalar product in Hilbert space.Is there any hinge in the story?

-Thanks,

Neel
 
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  • #2
First of all, a Hilbert space by definition must have an inner product defined on it. (A Hilbert space is a vector space over the real or complex numbers with a complete inner product.)

Secondly, in a finite-dimensional space, if you fix any positive-definite matrix M, then the expression [tex] \langle x,y \rangle = x^{\dagger}My [/tex] defines an inner product.

The usual dot product is a special case when M is the identity matrix.
 
  • #3
Thank you
 

Related to Can Any Inner Product Be Defined in Infinite Dimensional Vector Spaces?

What is an inner product?

An inner product is a mathematical operation that takes in two vectors and produces a scalar value. It is a generalization of the dot product and can be defined for various vector spaces.

What is the purpose of an inner product?

The main purpose of an inner product is to measure the angle between two vectors and to quantify the notion of orthogonality. It is also used in many mathematical and scientific applications, such as in physics, engineering, and statistics.

How is an inner product calculated?

An inner product is calculated by taking the dot product of the two vectors and then multiplying it by the cosine of the angle between them. This can also be represented as the product of the lengths of the vectors and the cosine of the angle between them.

What are the properties of an inner product?

An inner product has several important properties, including linearity, symmetry, and positive definiteness. Linearity means that the inner product follows the rules of distributivity and scalar multiplication. Symmetry means that the inner product is the same regardless of the order in which the vectors are multiplied. Positive definiteness means that the inner product is always positive, except when the vectors are zero.

How is an inner product different from a cross product?

An inner product is a scalar value, while a cross product is a vector. Additionally, an inner product measures the angle between two vectors, while a cross product measures the perpendicular distance between two vectors. They are also calculated using different mathematical formulas.

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