Show A = UDU(dagger) can be written as f(A) = Uf(D)U(dagger)

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A diagonalisable square matrix A can be expressed as A = UDU†, where U is unitary and D is diagonal. The discussion focuses on proving that any function of A defined by a power series can be represented as f(A) = Uf(D)U†. Participants explore how to express f(A) in terms of D, noting that the powers of D can be calculated similarly to those of A. The conversation emphasizes the importance of correctly rewriting the expression for f(A) using the properties of unitary matrices and diagonal matrices. The goal is to establish the equality f(A) = Uf(D)U† through manipulation of the series representation.
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Homework Statement



A diagonalisable square matrix A can be written A = UDU\dagger, where U is a unitary matrix and D is diagonal. Show that nay function of A defined by a power series,

f(A) = f_{0}I + f_{1}A + f_{2}A^{2} + ... + f_{n}A^{n} + ...

can be expressed as f(A) = Uf(D)U\dagger

The Attempt at a Solution



Not sure where to start. I know one can repeat a linear operator to get results such as A^{0} = 1, A^{1} = A, A^{2} = AA but how do you show that for D? Are we simply doing the same? D^{0} = 1, D^{1} = D, D^{2} = DD

So f(A) = U * f_{0}I + f_{1}D + f_{2}D^{2} + ... + f_{n}D^{n} + ... * U\dagger ?

Thanks
 
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Smazmbazm said:

Homework Statement



A diagonalisable square matrix A can be written A = UDU\dagger, where U is a unitary matrix and D is diagonal. Show that nay function of A defined by a power series,

f(A) = f_{0}I + f_{1}A + f_{2}A^{2} + ... + f_{n}A^{n} + ...

can be expressed as f(A) = Uf(D)U\dagger

The Attempt at a Solution



Not sure where to start. I know one can repeat a linear operator to get results such as A^{0} = 1, A^{1} = A, A^{2} = AA but how do you show that for D? Are we simply doing the same? D^{0} = 1, D^{1} = D, D^{2} = DD

So f(A) = U * f_{0}I + f_{1}D + f_{2}D^{2} + ... + f_{n}D^{n} + ... * U\dagger ?

Thanks
That last line is messed up in some way. If you meant to start the right-hand side with ##U(\dots## and end it with ##\dots)U^\dagger##, then you have just written down the equality you're supposed to prove. But yes, that thing in the middle is ##f(D)##. So it can't be a bad idea to try to use that (the definition of ##f(D)##) to rewrite ##Uf(D)U^\dagger## in some way.
 
Should it look like this,

f(A) = U*f_{0}I*U\dagger + U*f_{1}D*U\dagger + U*f_{2}D^{2}*U\dagger + ... + U*f_{n}D^{n}*U\dagger + ... ?
 
I assumed that you you were trying to write down the equality ##f(A)=Uf(D)U^\dagger##, with ##f(D)=1+f_0 D+\cdots+f_n D^n+\cdots##. You obviously can't assume that the former equality holds, since that's what you want to prove, but you can start
$$Uf(D)U^\dagger=U\left(1+f_0 D+\cdots+f_n D^n+\cdots\right)U^\dagger,$$ to see if you can end up with ##f(A)##. The right-hand side above can be written the way you just wrote it, but I wouldn't use ##*## for multiplication. It's standard to not use any symbol at all, and if you want to use one, it should be ##\circ##, since multiplication of linear operators is just composition of functions.
 
Ok got it. Thanks for your help, Fredrik
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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