Is the Defined Complex Scalar Product a Valid Scalar Product?

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SUMMARY

The discussion centers on proving that the defined complex scalar product using the matrix A = [[3,1],[1,2]] is indeed a valid scalar product. The scalar product is defined as u * v := uT * A * conjugate(v), where u and v are vectors in C. Participants express confusion regarding the requirements for a scalar product and the role of matrix A in the proof. The key takeaway is that the participants need to verify the properties of a scalar product, such as linearity and positivity, to complete their proof.

PREREQUISITES
  • Understanding of complex numbers and their properties
  • Familiarity with matrix operations, specifically matrix multiplication
  • Knowledge of the definition and properties of scalar products
  • Basic linear algebra concepts, including vector spaces
NEXT STEPS
  • Review the properties of scalar products, including linearity and positivity
  • Study the role of Hermitian matrices in defining scalar products
  • Explore examples of scalar products in complex vector spaces
  • Investigate the implications of the Cauchy-Schwarz inequality in the context of complex scalar products
USEFUL FOR

Students studying linear algebra, particularly those focusing on complex vector spaces and scalar products, as well as educators looking for examples to illustrate these concepts.

SoapyIllusion
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Homework Statement



This is what we are given in the assignment:

Recall a definition of scalar product on complex numbers. Let A = [[3,1],[1,2]]. Prove that the product as defined by:

* => dot product

u * v := uT * A * conjugate(v)

( = Sum from i,j=1 to 2; uiAijconjugate(vj) )

is a scalar product on C according to the definition.

Homework Equations



We are give that the following equation will be useful:

2(ac) >= -a2 -c2 for all a,c as elements of R

The Attempt at a Solution



There are many of us working on this and we were not even sure exactly how to start this problem. It is trivial to prove the Sum given is equal to uT * A * conjugate(v). But from there we weren't sure exactly what else to prove.

Any help would be extremely appreciated
 
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Have you written out the computations?
For
u= \begin{bmatrix}u_1 \\ u_2\end{bmatrix}
v= \begin{bmatrix}v_1 \\ v_2\end{bmatrix}<br /> <br /> The product is <br /> u*v= \begin{bmatrix}u_1 & u_2\end{bmatrix}\begin{bmatrix}3 & 1 \\ 1 & 2\end{bmatrix}\begin{bmatrix}\overline{v_1} \\ \overline{v_2}\end{bmatrix}= (3u_1+ u_2)\overline{v_1}+ (u_1+ 3u_2)\overline{v_2}<br /> <br /> Now what are the requirements for a scalar product- what is the definition? Does this satisfy those requirements?
 
HallsofIvy said:
Have you written out the computations?
For
u= \begin{bmatrix}u_1 \\ u_2\end{bmatrix}
v= \begin{bmatrix}v_1 \\ v_2\end{bmatrix}<br /> <br /> The product is <br /> u*v= \begin{bmatrix}u_1 & u_2\end{bmatrix}\begin{bmatrix}3 & 1 \\ 1 & 2\end{bmatrix}\begin{bmatrix}\overline{v_1} \\ \overline{v_2}\end{bmatrix}= (3u_1+ u_2)\overline{v_1}+ (u_1+ 3u_2)\overline{v_2}<br /> <br /> Now what are the requirements for a scalar product- what is the definition? Does this satisfy those requirements?
<br /> <br /> Yes I got this far, my only problem is that I don't see any logical next step, I may be missing something very obvious, but even after reading more about the definition of scalar product I don't understand what more there is to prove<br /> <br /> And I also do not understand the purpose of the matrix A
 

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