Is the Proof for a Complex Inner Product Space Correct?

AI Thread Summary
The discussion centers on the proof of properties related to complex inner product spaces as presented in Schaum’s Outlines of Linear Algebra. The user has established that certain parameters must be real and positive, and that one parameter is the conjugate of another. However, they are struggling to demonstrate that the expression a.d - b.c is also positive. The conversation highlights the need for a proof that avoids the use of characteristic polynomials or eigenvalues, focusing instead on the conditions for a scalar product and the positive definiteness of a Hermitian matrix. The thread emphasizes the importance of verifying the inner product properties and the implications of these conditions.
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.]
 
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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).
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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)*
 
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anuttarasammyak said:
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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. ?
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
$$\sum_{k=0}^n a_k\lambda^k,\quad a_k\in\mathbb{R},\quad a_k\ne 0,\quad\mathrm{sgn}\, a_{k}=-\mathrm{sgn}\,a_{k+1}$$
 
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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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