Is the Proof for a Complex Inner Product Space Correct?

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Homework Help Overview

The discussion revolves around the properties of inner product spaces, specifically in the context of complex inner products and their characteristics. The original poster is attempting to prove certain conditions related to the positivity of a matrix associated with a scalar product.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are examining the definitions and properties of inner products, questioning the implications of positivity and hermitian conditions. There is a focus on whether certain conditions lead to the conclusion that a matrix is positive definite.

Discussion Status

Some participants have provided definitions and properties of inner products, while others are exploring the implications of these properties. There is an ongoing examination of whether the original poster's proof is valid without relying on characteristic polynomials or eigenvalues. Multiple interpretations of the conditions for positivity are being discussed.

Contextual Notes

Participants are navigating the constraints of the problem, including the requirement to avoid certain mathematical concepts like characteristic polynomials, while still seeking to establish the necessary conditions for a scalar product in a complex inner product space.

hsazerty2
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Summary:: Inner Product Spaces, Orthogonality.

Hi there,
This my first thread on this forum :)

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I encountered the above problem in Schaum’s Outlines of Linear Algebra 6th Ed (2017, McGraw-Hill) Chapter 7 - Inner Product Spaces, Orthogonality.
Using some particular values for u and v, I proved that a and d must be real positive, and b is the conjugate of c. The solution indicates that a.d-b.c must also be positive, but i can't figure that out.

thanks for your help.

[Moderator's note: Moved from a technical forum and thus no template.]
 
Last edited by a moderator:
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---------------
Definition (Inner product) Let V be a vector space over IR.
An inner product ( , ) is a function V × V → IR with the following
properties
1. ∀ u ∈ V , (u, u) ≥ 0, and (u, u) = 0 ⇔ u = 0;
2. ∀ u, v ∈ V , holds (u, v) = (v, u);
3. ∀ u, v, w ∈ V , and ∀ a, b ∈ IR holds
(au + bv, w) = a(u, w) + b(v, w).
------------
Your estimate meets above 1. How about 2. and 3. ?

EDIT
As pointed out in #3 for conjugate inner product
2. (u,v)=(v,u)*
 
Last edited:
anuttarasammyak said:
---------------
Definition (Inner product) Let V be a vector space over IR.
An inner product ( , ) is a function V × V → IR with the following
properties
1. ∀ u ∈ V , (u, u) ≥ 0, and (u, u) = 0 ⇔ u = 0;
2. ∀ u, v ∈ V , holds (u, v) = (v, u);
3. ∀ u, v, w ∈ V , and ∀ a, b ∈ IR holds
(au + bv, w) = a(u, w) + b(v, w).
------------
Your estimate meets above 1. How about 2. and 3. ?
We're dealing with a complex inner product here.
 
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first check the condition ##(u,v)=\overline{(v,u)}##

Theorem. A function ##f(u,v)=u^TA\overline v,\quad A=(\overline {A})^T,\quad u,v\in\mathbb{C}^n## is positive definite iff the characteristic polynomial of the matrix ##A## has the form
$$\sum_{k=0}^n a_k\lambda^k,\quad a_k\in\mathbb{R},\quad a_k\ne 0,\quad\mathrm{sgn}\, a_{k}=-\mathrm{sgn}\,a_{k+1}$$
 
Last edited:
hsazerty2 said:
Summary:: Inner Product Spaces, Orthogonality.

Hi there,
This my first thread on this forum :)

[Moderator's note: Moved from a technical forum and thus no template.]
Hello, @hsazerty2 !
:welcome:
 
@wrobel, Thanks for the reply, but i need to find a solution that does not involve the notion of characteristic polynomial or eigenvalues.
Is the below proof right ?

if f(u,v) is a scalar product, then f(u,u) must be positive for all u in C2, which means that the above matrix A must be positive definite, and for that its determinant should be positive. and i already proved that the above matrix is hermitian. So all the conditions are : a and d real positive, b is the conjugate of c, and the determinant is positive. Conversely, if all the above conditions are satisfied, then the matrix is hermitian and definite positive, so f(u,v) is a scalar product.
Right ?
 

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