Normal operators and self adjointness

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Homework Help Overview

The discussion revolves around the properties of normal operators in the context of a complex inner-product space, specifically focusing on the implications of the equation T^9 = T^8 and whether this leads to T being self-adjoint and T^2 = T.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore the implications of T^9 = T^8, considering various cases for the operator T, including the zero matrix and identity transformations. Some participants question the validity of certain assumptions and the definitions being used, such as the term "reduced" and the properties of diagonal matrices.

Discussion Status

The discussion is ongoing, with participants raising questions about the assumptions made regarding the dimensionality of the vector space and the nature of normal operators. There is a recognition of multiple interpretations and approaches being explored, but no consensus has been reached on the proof or the implications of the given equation.

Contextual Notes

Some participants express uncertainty about whether the vector space can be assumed to be finite-dimensional, and there are discussions about the implications of T being a normal operator, including its diagonalizability and the characteristics of its diagonal elements.

  • #31
Dick said:
If the entries of a diagonal matrix are 1's and 0's would you know how to prove it?

I feel dumb. I mean this is such a simple concept...Take T and let it be diagonal. Now if T is diagonal and T^9=T^8, then T^9=/=T^8 if any of T's entries were >1 or <0.

Wait, are you implying that we know that T's entries are 0 's or 1's?
I mean if so: If T^9=T^8 , and we know that T's entries are either 0 or 1,
then T^n=T.
 
Last edited:
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  • #32
If T is diagonal and satisfies T^9=T^8 then a diagonal element t_kk satisfies (t_kk)^9=(t_kk)^8. The equation x^9=x^8 in real numbers has only the solutions x=0 and x=1. BTW kof9595995 brings up a point I've been glossing over. If D is our diagonal matrix, all we really know about the original matrix T is that it is related to D by T=U*D*U^(-1), where U is a unitary transformation. We've pretty much shown D^2=D and (D*)=D. Does that imply T has the same properties?
 
  • #33
Dick said:
If T is diagonal and satisfies T^9=T^8 then a diagonal element t_kk satisfies (t_kk)^9=(t_kk)^8. The equation x^9=x^8 in real numbers has only the solutions x=0 and x=1. BTW kof9595995 brings up a point I've been glossing over. If D is our diagonal matrix, all we really know about the original matrix T is that it is related to D by T=U*D*U^(-1), where U is a unitary transformation. We've pretty much shown D^2=D and (D*)=D. Does that imply T has the same properties?

Never knew what a unitary transformation is, so I looked it up on wikipedia.
But yes x^9=x^8 equate when x=1 or 0. I was edging on that two posts ago by
saying that T^9=T^8 when their elements are not less than
0 or not greater than 1. But I guess it was on the shallow side. So about T=U*D*U^-1.
Does D* get multiplied by U* followed by U^-1 cancelling out the "effects" of U? If so, then
all we really knew from the beginning is that D is diagonal, obviously a diagonal matrix doesn't
need to have zeroes or ones on its diagonal.
 
  • #34
I mean T=UDU^(-1). No *'s. If D^2=D, is it true T^2=T? The real equation x^9=x^8 has only solutions x=0 and x=1. Can you show this? The matrix equation T^9=T^8 has lots of nonzero solutions.
 
  • #35
wait a minute, I was thrown off (not your fault) when you told me that we've
pretty much shown D^2=D. I was thinking that the proof was done already.
I was wrong.
 
  • #36
But I guess if T=UDU^(-1) and U is unitary, then T=D. So
T^2=(UDU^(-1))^2=D^2. If D^2=D, then T^2=T.
 
  • #37
No T isn't equal to D. U represents the transformation to the basis where T is represented by the diagonal matrix D.
 
  • #38
Dick said:
No T isn't equal to D. U represents the transformation to the basis where T is represented by the diagonal matrix D.

Oh so you mean U transforms D into a matrix that represents the basis where D came from, right?
Or is it that U transforms D into a matrix that represents T?
 
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  • #39
Both basically. U does one, U^(-1) does the other.
 

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