Scalar product square matrix hermitian adjoint proof

In summary, the book "Tutorial of Mathematical Physics" by a professor says to use the scalar product notation to represent the product of two matrices, instead of the usual row product notation.
  • #1
bossman007
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0

Homework Statement



If M is a square matrix, prove:

(A, MB) = (adj(M)A, B)

where (A, MB) denotes the scalar product of the matrices and adj() is the adjoint (hermitian adjoint, transpose of complex conjugate, M-dagger, whatever you want to call it!)

Homework Equations



adj(M)=M(transpose of the complex conjugate)

adj( ) = adjoint

scalar product : A dot B = (A, B) = adj(A)B

I'm supposed to first write (A, MB) = (MB,A)^(complex conjugate) and apply the definitions of the scalar product above and adj(M)...and am warned to take complex conjugates carefully

The Attempt at a Solution



My attempted work is this:...i didnt follow the hint above because i just applied the inner product definition as in the picture and got both sides to be equivalent

[PLAIN]http://postimage.org/image/v3127r3w5/ [/PLAIN]
 
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  • #2
Are you given that these matrices are all 3 by 3? Because all you prove this for.
 
  • #3
It doesn't say, I listed everything about the problem. I'm still not sure what to do
 
  • #4
Have you learned that [itex](a,Mb)=(Mb)^\top a[/itex] and that [itex](Mb)^\top = b^\top M^\top[/itex]?

Of course the formula is the same for conjugate transpose as well (ie you can replace the T by *).
 
  • #5
No I haven't learned that yet. What I have to do has something to do with the hint in OP but I can't make sense of
 
  • #6
this is as far as i got using the hint...

[url=http://postimage.org/][PLAIN]http://s18.postimage.org/oz17lwl4p/photo_1.jpg[/url] free photo hosting[/PLAIN]

M is supposed to be a square matrix. The hint says after I applied the first step and the definitions of the scalar product and M(adjoint), I need to take complex conjugates? Where did I go wrong, or what do I have to do next in this proof? Many thanks
 
  • #7
Wait a second, here. I think you actually do know those formulas I gave you before, but the notation you are using doesn't seem to be what the standard notation is. Usually T means transpose, * means Hermitian adjoint (or conjugate transpose, both mean the same) and a bar means complex conjugate. Also, I believe that your formula is incorrect for [itex](A,B)[/itex]. It should be [itex]B^*A[/itex] (in "standard notation") or [itex]B^\top A[/itex] (in your notation.) Whose notation is this, btw? Is it yours? Your prof's? Your book's?
 
  • #8
its my books notation as seen here.

[url=http://postimage.org/][PLAIN]http://s12.postimage.org/5jf353i25/photo_1.jpg[/url] upload pics[/PLAIN]

The difference in notation arises from the fact my book uses column matrix representation for vectors instead of row matrix representation , you think?
 
  • #9
I made a mistake in my work picture above...quick correction here. Still do not know what to do next :confused:

[url=http://postimage.org/][PLAIN]http://s9.postimage.org/6luvfiam7/photo_2.jpg[/url] photo sharing websites[/PLAIN]
 
  • #10
So, using your notation, [itex]M^\dagger A,B) = (M^\dagger A)^\dagger B = A^\dagger MB[/itex]. Now do you see what to do? Of course, this didn't really use the hint, but it looks like it works.

Again, just out of curiosity, what is the title of this book? Is it a Mathematical Physics book? I am interested because I have never seen the scalar product defined that way in a math book (that's not to say it hasn't happened, I just haven't seen it.)
 
  • #11
Yea it's a "tutorial" math methods in physics book written by a professor for us, it's broken into 2 parts (semesters) and I also have Mary boas math methods book but couldn't find any help in there for this problem. Many thanks for the help ! So what you just posted is basically the proof I did in the very first picture, right ? Would that very first picture I posted consist of the whole proof, like what you just hinted at, which seems correct ?
 

1. What is a scalar product of a square matrix?

The scalar product of a square matrix is a mathematical operation that involves multiplying each element of the matrix by a constant value, known as the scalar, and summing the resulting products. It is denoted by the symbol • or the notation A • B.

2. What is a Hermitian adjoint of a matrix?

A Hermitian adjoint of a matrix is a matrix that is obtained by taking the complex conjugate of the transpose of the original matrix. It is denoted by AH or A* and is used to solve systems of linear equations and perform other mathematical operations.

3. How is the scalar product of a square matrix related to its Hermitian adjoint?

The scalar product of a square matrix and its Hermitian adjoint is used to prove properties of Hermitian matrices. One such property is that the scalar product of a Hermitian matrix and its adjoint is always a real number, which is useful in solving systems of equations and in other mathematical applications.

4. What is the proof for the scalar product square matrix Hermitian adjoint?

The proof for the scalar product square matrix Hermitian adjoint involves using the definition of scalar product and the properties of Hermitian matrices. It can be shown that the scalar product of a Hermitian matrix and its adjoint is equal to the sum of the squared magnitudes of the elements in the matrix, which is a real number.

5. Why is the Hermitian adjoint important in linear algebra?

The Hermitian adjoint is important in linear algebra because it allows for the solution of complex systems of linear equations. It also has important properties, such as being self-adjoint, which means that the Hermitian adjoint of a Hermitian matrix is equal to the original matrix. This property is useful in many mathematical applications.

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