Prove that every unitary matrix is diagonalisable by a unitary matrix

Click For Summary

Homework Help Overview

The discussion revolves around proving that every unitary matrix is diagonalisable by a unitary matrix. The original poster attempts to establish the relationship between a unitary matrix and its diagonal representation, exploring the properties of eigenvalues and eigenvectors in this context.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the implications of a unitary matrix being diagonalisable and the conditions under which this can be shown. There are attempts to express the relationship between the unitary matrix and its eigenvectors, questioning how to demonstrate that the matrix formed by these eigenvectors is unitary.

Discussion Status

Several participants are exploring different aspects of the proof, including the properties of eigenvectors and the conditions for orthonormality. Some guidance has been offered regarding the structure of the matrices involved, but there is no explicit consensus on the proof's completion.

Contextual Notes

Participants note the need to show that the matrix formed by eigenvectors is unitary, with discussions highlighting the orthogonality and normalization of these vectors. There is an ongoing exploration of the implications of these properties in relation to the original problem.

Hall
Messages
351
Reaction score
87
Homework Statement
The same as the title.
Relevant Equations
A matrix is said to be unitary if A*A = AA* = I. A

A matrix ##A## is diagonalisable if there is a matrix C such that
##\Lambda = C^{-1} A C ##.
Let's assume that ##A## is unitary and diagonalisable, so, we have
## \Lambda = C^{-1} A C ##

Since, ##\Lambda## is made up of eigenvalues of ##A##, which is unitary, we have ## \Lambda \Lambda^* = \Lambda \bar{\Lambda} = I##.

I tried using some, petty, algebra to prove that ##C C* = I## but was unsuccessful. Here is my attempt:
## \Lambda = C^{-1} A C ##
## \Lambda^* = C^* A^* (C^*)^{-1} ##
## \Lambda \Lambda^* = C ^{-1} A C ~ C^* A^* (C^{-1})^{*} ##
## I = C ^{-1} A C ~ C^* A^* (C^{-1})^{*} ##
## I = C^{-1} AC ~ [ C^{-1} A C ]^{*} ##
That implies,
## [ C^{-1} A C ]^{*} = [C^{-1} A C]^{-1} ##
## C^* A^* (C^{-1})^{*} = C^{-1} A^* C##, since ##A^* = A^{-1}##.
But I cannot conclude ##C^* =C^{-1}##.
 
Physics news on Phys.org
The question doesn't imply that a unitary matrix is only diagonalisable by a unitary transformation matrix. In fact, you should be able to see why that cannot be the case.

You cannot, therefore, prove that ##C## is unitary. Instead, you must show that you can find a unitary matrix ##C## that does the job.
 
If ##C = [u_1 ~ \cdots u_n]##, where ##u_i## is normalised eigenvector of A, then we can show that ##C^{-1} A C## will be a diagonal matrix, made up of eigenvalues of A.
But how do we show that CC* = I. We have only two facts with us, that every ##u_i## is orthogonal to every other ##u_j## and norm of each ##u_i## is 1.

So, we have
$$
C^{*}=
\begin{bmatrix}
\overline{u_1} \\
\vdots\\
\overline{u_n}\\
\end{bmatrix}
$$

$$
CC^{*}= u_1 \overline{u_1} + \cdots u_n \overline{u_n} $$

I really have no idea of what to do next.
 
Hall said:
If ##C = [u_1 ~ \cdots u_n]##, where ##u_i## is normalised eigenvector of A, then we can show that ##C^{-1} A C## will be a diagonal matrix, made up of eigenvalues of A.
But how do we show that CC* = I. We have only two facts with us, that every ##u_i## is orthogonal to every other ##u_j## and norm of each ##u_i## is 1.

So, we have
$$
C^{*}=
\begin{bmatrix}
\overline{u_1} \\
\vdots\\
\overline{u_n}\\
\end{bmatrix}
$$

$$
CC^{*}= u_1 \overline{u_1} + \cdots u_n \overline{u_n} $$

I really have no idea of what to do next.
You seem to be confusing matrix multiplication with matrix element multiplication.

What can you say about the eigenvalues of a unitary matrix?

If you can prove that a unitary matrix has a set of mutually orthonormal eigenvectors (or assume this), then you should be able to complete the proof using what you have.
 
  • Like
Likes   Reactions: malawi_glenn
Well, I can write C and C* in expanded form to avoid confusion:
$$
C =
\begin{bmatrix}
u_{11} & u_{12} & \cdots & u_{1n} \\
u_{21} & u_{22} & \cdots & u_{2n} \\
\vdots & \vdots & \cdots & \vdots \\
u_{n1} & u_{n2} & \cdots & \ u_{nn} \\
\end{bmatrix}
$$
Where the first column is the first normalised eigenvector, and so on.

$$
C^{*} =
\begin{bmatrix}
\overline{u_{11} } & \overline{ u_{21} } & \cdots & \overline{ u_{n1} } \\
\overline{ u_{12} } & \overline{ u_{22} } & \cdots & \overline{ u_{n2} } \\
\vdots \\
\overline{ u_{1n} } & \overline{ u_ {2n} } & \cdots & \overline{ u_{nn} } \\
\end{bmatrix}
$$

The ij th entry of CC* is
$$
CC^{*}_{ij} = [ u_{i1} ~u_{i2} \cdots u_{in} ] \times \begin{bmatrix} \overline{ u_{j1} } \\ \overline{ u_{j2} } \\ \vdots \\ \overline { u_{jn} } \\ \end{bmatrix}
$$

$$CC^{*}_{ij} = \sum u_{ik}~ \overline{ u_{jk} } $$

Then?
 
It might be clearer if you looked at ##C^*C##. Also, you should have complex conjugates of the elements in ##C^*##.
 
Not getting your hint. I have shown my attempts.
 
Hall said:
Not getting your hint. I have shown my attempts.
You must learn to recognise an inner product when you see one!
 
  • Like
Likes   Reactions: malawi_glenn
Inner product: ##\langle u_i, u_j \rangle = 0##.
 
  • #11
It is easy to show ##C^{*} C = I##, that is:
$$
C_{\iota}^{*}=
\begin{bmatrix}
\overline{ u_{1\iota} } & \overline{ u_{2\iota} }& \cdots \overline{n \iota}
\end{bmatrix}

\times\begin{bmatrix}
u_{1j} \\
u_{2j}\\
\vdots \\
u_{nj} \\
\end{bmatrix}= C^j
$$

$$
(C^{*} C)_{\iota ~j} = u_{1j} \overline{ u_{1\iota}} + u_{2j} \overline{ u_{2\iota}} + \cdots + u_{nj} \overline{ u_ { n \iota} } = u_i \cdot \overline{u_j} = \langle u_i, u_j \rangle = 0 $$

Thus, all ij entry of ##C^{*}C## is zero, and by taking ##\iota= j## in the above formula I will get ##\iota- \iota## entry as 1.

So, ## C^{*} C = I##

I don't understand why ##C C^{*} = I## was so hard to prove.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
1K
Replies
2
Views
2K
Replies
7
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
6
Views
3K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K