I want to show a difference of inner products is small

  • Thread starter AxiomOfChoice
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In summary, the inner product of two vectors in a Hilbert space goes to zero as the vectors move towards orthogonal vectors.
  • #1
AxiomOfChoice
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Suppose I have a separable Hilbert space [itex]\mathcal H[/itex] and vectors [itex]x_1(p),x_2(p),y_1(p),y_2(p) \in \mathcal H[/itex] that depend on a parameter [itex]p>0[/itex] such that

[tex]
\| x_1 - y_1 \| \to 0 \qquad \text{as $p \to 0$}
[/tex]

and

[tex]
\| x_2 - y_2 \| \to 0 \qquad \text{as $p \to 0$}.
[/tex]

Can anything be said about [itex]|(x_1,x_2) - (y_1,y_2)|[/itex]? I'd like to be able to say it goes to zero as [itex]p\to 0[/itex], but I haven't been able to show that yet...
 
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  • #2
maybe add and subtract (x1,y2)? are you trying to show the dot product is continuous?
 
  • #3
As stated you are just asking for |(##x_1-y_1,x_2-y_2##)| which is the length of a vector and certainly goes to zero since both components are headed for 0.

Since you have tagged this as an inner product question consider this:
For the inner product to go to 0 the vectors have to be moving towards orthogonal. In the ordinary ##R^2## space it could be that ##x_1 - y_1## and ##x_2 - y_2## are parallel. They can go to zero all they want, but the inner product certainly won't.

Is this what you were asking?
 
  • #4
I think there's some confusion about notation here. Is (x,y) the inner product of x and y, or is it a point in H2?
 
  • #5
Office_Shredder said:
I think there's some confusion about notation here. Is (x,y) the inner product of x and y, or is it a point in H2?
Sorry; I should have clarified. I know some people use [itex]\langle \cdot,\cdot \rangle[/itex] exclusively to denote the inner product, but yes, I'm using [itex](\cdot,\cdot)[/itex] to denote the inner product.
 
  • #6
Okay, I think I have it for ##R^2##; but it should be generalizable.

Let ##x_1 = (a_1,b_1), x_2 = (a_2,b_2), y_1 = (c_1,d_1), y_2= (c_2,d_2)##. We have

||##x_1 - y_1##|| ##\rightarrow ## 0 and the same for the 2's. ##\hspace{50px}## (1)

Looking at the inner products we have

##x_1 \cdot x_2 - y_1 \cdot y_2 ## = ##a_1a_2 + b_1b_2 - (c_1c_2 + d_1d_2)##.

By (1) we have ##c_1 \rightarrow a_1## and correspondingly for all the other components. So the term after the minus sign is going to the term before the minus sign and the whole thing goes to 0.

Life is a little harder if you are not in a finite dimensional space, but since your Hilbert space is separable, I think you can take the same idea and apply it.
 

Related to I want to show a difference of inner products is small

What does "showing a difference of inner products is small" mean?

Showing a difference of inner products is small means demonstrating that the difference between two inner products, or scalar products, is close to zero.

Why is it important to show a difference of inner products is small?

Showing a small difference between inner products is important because it provides evidence that the two vectors being compared are similar or have a high degree of correlation.

What is the mathematical notation for showing a difference of inner products is small?

The mathematical notation for showing a difference of inner products is small is ||Ax - Ay|| < ε, where A is a matrix, x and y are vectors, and ε is a small number representing the desired level of closeness.

What techniques can be used to show a difference of inner products is small?

Techniques such as the Cauchy-Schwarz inequality, triangle inequality, and the properties of inner products can be used to show a difference of inner products is small.

How can showing a difference of inner products is small be applied in scientific research?

This concept can be applied in various fields of research, such as machine learning, statistics, and physics, to compare data sets or models and determine their similarity or correlation. It can also be used to validate mathematical proofs and equations.

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