Proof of Inner Product in E with Orthonormal Sequence (n=positive integer)

In summary, the conversation is about proving a statement involving inner product spaces and an orthonormal sequence. The statement states that the real part of the inner product of a vector x and a sum of inner products of x with the vectors in the orthonormal sequence is equal to the sum of the squares of the magnitudes of the inner products of x with the vectors in the sequence. The conversation also includes a clarification on the notation used in the statement.
  • #1
Poirot1
245
0
let E be an inner product space and (e_n) an orthonormal sequence in E. For x in E and any positive integer n, prove that

Re(<x,(<x,e_1>+...<x,e_k>)e_n>)= |<x,e_1>|^2+...+|<x,e_n>|^2

I got <x,(<x,e_1>+...<x,e_k>)e_n>= <<x,e_1>e_1,x>+...<<x,e_n>e_n,x>

but haven't a clue how to find the real part of this. Sorry for the ugly subscript notation.
 
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  • #2
Re: inner product proof

Poirot said:
let E be an inner product space and (e_n) an orthonormal sequence in E. For x in E and any positive integer n, prove that

Re(<x,(<x,e_1>+...<x,e_k>)e_n>)= |<x,e_1>|^2+...+|<x,e_n>|^2

I got <x,(<x,e_1>+...<x,e_k>)e_n>= <<x,e_1>e_1,x>+...<<x,e_n>e_n,x>

but haven't a clue how to find the real part of this. Sorry for the ugly subscript notation.
This looks wrong to me. Why is there a $k$ on the left side but not on the right? I think that the result should be $$\bigl\langle x,\langle x,x_1\rangle e_1 + \ldots + \langle x,x_n\rangle e_n\bigr\rangle = |\langle x,e_1\rangle|^2 + \ldots + |\langle x,e_n\rangle|^2.$$
 

FAQ: Proof of Inner Product in E with Orthonormal Sequence (n=positive integer)

What is an inner product in mathematics?

An inner product is a mathematical operation that takes two vectors and produces a scalar quantity. It is often used to measure the similarity or angle between two vectors in a vector space.

What does it mean for a sequence to be orthonormal?

A sequence is orthonormal if all of its vectors are unit vectors (vectors with a magnitude of 1) and are mutually orthogonal (perpendicular to each other). In other words, each vector in the sequence is independent from the others and has a magnitude of 1.

How is the proof of inner product in E with orthonormal sequence related to linear algebra?

The proof of inner product in E with orthonormal sequence is a fundamental concept in linear algebra. It is used to define and analyze vector spaces, which are essential in many areas of mathematics and science, including physics, engineering, and computer science.

Can you give an example of an orthonormal sequence in a vector space?

Yes, an example of an orthonormal sequence in a vector space is the standard basis for 3-dimensional Euclidean space, also known as the Cartesian coordinate system. This sequence consists of three vectors: (1,0,0), (0,1,0), and (0,0,1), which are all unit vectors and are mutually orthogonal.

Why is it important to prove inner product in E with orthonormal sequence?

Proving inner product in E with orthonormal sequence is important because it helps establish the properties and rules of vector spaces, which are essential in many areas of mathematics and science. It also allows us to define the concept of orthogonality and measure the similarity or angle between two vectors, which is useful in applications such as signal processing and data analysis.

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