Orthonormal system in Hilbert space

In summary, the author provides a description of how to determine if a subset of a Hilbert space is dense, and why it is obvious that the subset is dense.
  • #1
aaaa202
1,169
2
Let H be a Hilbert space. Let F be a subset of H.
F is dense in H if:
<f,h>=0 for all f in F => h=0
Now take an orthonormal set (ek) (this is a countable sequence indexed by k) in H. My book says that obviously:
[itex]\bigcup[/itex]span(ek) is dense in H (the union runs over all k)
=>
g=Ʃ<g,ek>ek
Now first of all:
Why do we need the union of the spans in the above? What is the difference between the span of the sequence of countably many units vectors and the union of the spans?
And then: Why is the above implication obvious?
 
Last edited:
Physics news on Phys.org
  • #2
aaaa202 said:
What is the difference between the span of the sequence of countably many units vectors and the union of the spans?

I don't know about the rest of your question, but think about two orthogonal unit vectors x and y in [itex]\mathbb{R}^2[/itex]. Span(x) and span(y) are both straight lines, so the union of span(x) and span(y) would be two crossed straight lines; it would look like an "X". On the other hand, span({x,y}) is the whole plane.
 
  • #3
yes, so why include the union if it is already included in span(e_k)
 
  • #4
The notation there isn't clear enough, but I think what it's naming is [tex]\bigcup_{n=1}^\infty \text{span}[\{e_k\}_{k=1}^n],[/tex] which some people would just call [itex]\text{span}[\{e_k\}_{k=1}^\infty][/itex]. The value of the former notation is that it reminds us that in a vector space the words "linear combination" mean (by definition) finite linear combination.
 
  • #5
Let H be a Hilbert space. Let F be a subset of H.
F is dense in H if:
<f,h>=0 for all f in F => h=0
That doesn't look right. F could be any subset that includes a basis. It doesn't have to be dense.
 
  • #6
^ Good catch.

Is it possible that the author has "taken the liberty" if misusing "a dense subset" to actually mean "a subset with dense span"?
 

What is an orthonormal system in Hilbert space?

An orthonormal system in Hilbert space is a set of vectors that are mutually orthogonal (perpendicular) to each other and have unit length. This means that the inner product (or dot product) of any two vectors in the system is equal to 0, and the norm (or length) of each vector is equal to 1.

Why is an orthonormal system important in Hilbert space?

An orthonormal system is important in Hilbert space because it allows for the simplification and generalization of various mathematical concepts and calculations. It also serves as a basis for representing any vector in the space as a linear combination of the orthonormal vectors, making it easier to work with and analyze.

How is an orthonormal system created in Hilbert space?

An orthonormal system can be created in Hilbert space by using the Gram-Schmidt process, which is a method for constructing an orthonormal basis from a set of linearly independent vectors. The process involves orthogonalizing the vectors by removing any components that are parallel to the previously constructed vectors, and then normalizing the resulting vectors to have unit length.

What are the properties of an orthonormal system in Hilbert space?

Some of the key properties of an orthonormal system in Hilbert space include the fact that the vectors are mutually orthogonal, have unit length, and form a basis for the space. This means that any vector in the space can be expressed as a unique linear combination of the orthonormal vectors. Additionally, the inner product of any two vectors in the system is equal to 0, and the norm of each vector is equal to 1.

How is an orthonormal system used in applications?

An orthonormal system in Hilbert space is used in various applications, including signal processing, quantum mechanics, and image and data compression. It allows for the representation and manipulation of signals and data in a simpler and more efficient manner, making it a valuable tool in many scientific and engineering fields.

Similar threads

  • Math POTW for Graduate Students
Replies
7
Views
955
  • Calculus
Replies
5
Views
2K
Replies
0
Views
490
Replies
1
Views
937
Replies
13
Views
2K
  • Topology and Analysis
Replies
2
Views
151
  • Quantum Physics
Replies
11
Views
917
Replies
1
Views
163
Replies
1
Views
674
Replies
19
Views
3K
Back
Top