Calculating Square Root of a Matrix in Quantum Information Theory

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Discussion Overview

The discussion revolves around the calculation and definition of the square root of a matrix within the context of quantum information theory and linear algebra. Participants explore the implications of matrix properties, such as positive semidefiniteness, and the basis independence of matrix operations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the square root of a matrix A is a matrix B such that B^2 = A, while others suggest it should be defined as B*B = A.
  • There is uncertainty regarding whether the definition of the square root of a matrix is basis independent, with some participants questioning this explicitly.
  • One participant suggests that if a linear transformation T is represented by the matrix A in one basis and A' in another, then the absolute value should satisfy |A'| = |A|'.
  • Another participant mentions the need to show that (√(A))' = √(A') and explores the relationship between matrices under basis changes.
  • There is a discussion about diagonalizing A*A and its implications for quantum theory.
  • One participant asserts that the square root of a positive semidefinite Hermitian matrix is unique and positive semidefinite, but this is not universally accepted without further discussion.

Areas of Agreement / Disagreement

Participants express differing views on the definition of the square root of a matrix and its basis independence. The discussion remains unresolved, with multiple competing perspectives on these concepts.

Contextual Notes

Participants reference the uniqueness of the square root of positive semidefinite matrices and the conditions under which certain properties hold, but these points are not fully explored or agreed upon.

aaaa202
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I'm doing an online course in quantum information theory, but it seems to require some knowledge of linear algebra that I don't have.
A definition that popped up today was the definition of the absolute value of a matrix as:

lAl = √(A*A) , where * denotes conjugate transpose.

Now for a given matrix I can calculate the product A*A, but how is the square root of this defined? I have no idea, though I think it should be basis independent, so maybe square root of the trace.
A*A is clearly positive semidefinite but I don't know if I can use that for anything.
 
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aaaa202 said:
I'm doing an online course in quantum information theory, but it seems to require some knowledge of linear algebra that I don't have.
A definition that popped up today was the definition of the absolute value of a matrix as:

lAl = √(A*A) , where * denotes conjugate transpose.

Now for a given matrix I can calculate the product A*A, but how is the square root of this defined? I have no idea, though I think it should be basis independent, so maybe square root of the trace.
A*A is clearly positive semidefinite but I don't know if I can use that for anything.
What's the definition of the square root of a number?
 
Well I guess that the square root of a matrix A is then a matrix B such that B^2 = A. Well wouldn't it be better with a matrix B such that B*B = A. And is this definition basis independent.
 
aaaa202 said:
Well I guess that the square root of a matrix A is then a matrix B such that B^2 = A. Well wouldn't it be better with a matrix B such that B*B = A. And is this definition basis independent.
That would be like requiring the square root of a complex number ##a## to satisfy ##b^*b = a##
 
Ok well is the definition basis independent?
 
aaaa202 said:
Ok well is the definition basis independent?

Let me rephrase that question. If a linear transformation T is represented by the matrix A in one basis and A' in another. Then is |A'| = |A|'?

What do you think?
 
I am not sure. I need to show that:

(√(A))' = √(A')
B' = √(A')

Now if A' = UAU maybe I can use that somehow...
 
aaaa202 said:
I am not sure. I need to show that:

(√(A))' = √(A')
B' = √(A')

Now if A' = UAU maybe I can use that somehow...

Or, think about diagonalizing A*A. It must be true if you want to accept that and get back to your quantum theory!
 
Maybe something like this:

A' = UAU
B' = UBU

Now B2 = A

We want to show that:
√A' = (√A)' = B'

So is B'2 = A'?

Well B'2 = UBUUBU = UB2U = UAU = A'

But all this requires that A and A' and B and B' are related by a basis change with a unitary as above. When is this true?
 
  • #10
That's essentially the proof. The only technicality is that B' must be the right square root. That probably depends on showing that a positive semi-definite matrix has a unique positive semi-definite square root.
 
  • #11
The square root of a positive semidefinite Hermitian matrix ##A## is the unique positive semidefinite matrix ##B## such that ##B^2=A##. You can look at Ch. VI s.3 of "Linear algebra done wrong" for an explanation of why such matrix exists and why it is unique.
 
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