Bessel's Inequality: Proving \|v\|^2 \ge c_1^2 + \cdots + c_k^2

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Homework Help Overview

The discussion revolves around proving Bessel's Inequality, specifically the inequality \|v\|^2 \ge c_1^2 + \cdots + c_k^2, where v is a vector in \mathbb{R}^n and \{u_1, \ldots, u_k\} is an orthonormal subset of \mathbb{R}^n. Participants are exploring the relationship between the vector v and its projections onto the orthonormal basis.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • One participant attempts to express the inequality in terms of the dot product and considers the implications of the angle between vectors. Others suggest completing the orthonormal subset to a full basis and discuss the necessity of orthonormality for expressing v as a linear combination of basis vectors. Questions arise about the requirements for the basis and the implications of orthonormality.

Discussion Status

Participants are actively engaging with the problem, exploring various approaches and clarifying concepts. Some have expressed confidence in the methods discussed, while others are questioning the assumptions about the basis and the necessity of orthonormality. There is a productive exchange of ideas, with some guidance offered on the Gram-Schmidt process for completing the orthonormal subset.

Contextual Notes

There are mentions of specific proofs related to Parseval’s Identity and Bessel’s Inequality, indicating that participants are considering broader implications and related concepts within the context of the original problem.

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Homework Statement
Let [itex]v \in \mathbb{R}^n[/itex], let [itex]\{u_1, \ldots, u_k\}[/itex] be an orthonormal subset of [itex]\mathbb{R}^n[/itex] and let [itex]c_i[/itex] be the coefficient of the projection of v to the span of [itex]u_i[/itex]. Show that [itex]\|v\|^2 \ge c_1^2 + \cdots + c_k^2[/itex].

The attempt at a solution
[itex]c_i = v \cdot u_i[/itex] and [itex]\| v \|^2 = v \cdot v[/itex] so I can write the inequality as

[tex]v \cdot (v - (u_1 + \cdots + u_k)) \ge 0[/tex]

This means the angle between v and [itex]v - (u_1 + \cdots + u_k)[/itex] is less than 90 degrees. This is all I've been able to conjure. I'm trying to reverse-engineer the inequality back to something I know is true. Is this a good approach? Is there a better approach?
 
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Couldn't you just complete {u1,...,uk} to an orthonormal basis {u1,...,uk,uk+1,...,un}? So ||v||^2=c1^2+...cn^2.
 
Ah! Good point. I think that'll work. All that remains to be proved is that [itex]v = c_1u_1 + \cdots c_nu_n[/itex].
 
Quick question: the basis doesn't have to be orthonormal does it?
 
e(ho0n3 said:
Ah! Good point. I think that'll work. All that remains to be proved is that [itex]v = c_1u_1 + \cdots c_nu_n[/itex].

Do you really have to prove that? v is some linear combination of the basis vectors u_i. So c_i must be v.u_i since they are orthonormal. Isn't that what an orthonormal basis is all about?
 
Never mind. I understand why it has to be orthonormal: If it isn't, I couldn't write v as a linear combination of the u's using the c's as the coefficients.
 
The only thing that might have to be proved is that you can complete an orthonormal subset to an orthonormal basis. But that's Gram-Schmidt.
 
I know I can expand the set of u's to a basis, then orthogonalize it using Gram-Schmidt, and then normalize the result. This will yield an orthonormal basis with the original u's.
 
Right. So not much to prove really. That one was easy.
 
  • #10
Thank you for your help.
 
  • #11
Hi
Can you do it these two proof?
I tried but i don't know these proofs...

(b) Prove Parseval’s Indentity: For any w ∈ span(S), we have

||w||^2 = |w · u1 |^2 + |w · u2 |^2+ · · · + |w · uk |^2 .

(c) Prove Bessel’s Inequality: For any x ∈ R^n we have

||x||^2 ≥ |x · u1 |^2 + |x · u2 |^2 + · · · + |x · uk |^2 ,

and this is an equality if and only if x ∈ span(S).
 

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