Trace of the Exponential of a Square Matrix

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Homework Help Overview

The discussion revolves around finding the trace of the exponential of a square matrix, specifically a 4x4 matrix derived from a given matrix A. The matrix A is structured with specific values, and the participants are exploring the implications of its eigenvalues and eigenvectors in relation to the exponential function of matrices.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the eigenvalues and eigenvectors of matrix A and their relevance to calculating the matrix exponential. There are attempts to express the exponential of the matrix in terms of its diagonalized form. Questions arise regarding the correctness of the equations used in the calculations and the implications of the trace of the resulting matrix.

Discussion Status

The discussion is ongoing, with participants providing insights into the calculations needed to find the trace. Some participants have pointed out corrections to previous statements regarding the equations used. There is a suggestion to explore a potentially simpler method for calculating the trace, indicating a productive direction in the conversation.

Contextual Notes

There are indications of confusion regarding the application of matrix exponentiation and the properties of eigenvalues in this context. Participants are also considering the implications of the matrix's structure on the calculations, which may affect the approach taken.

VSayantan
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Homework Statement


Find the trace of a ##4\times 4## matrix ##\mathbb U=exp(\mathbb A)##, where
$$\mathbb A = \begin {pmatrix} 0&0&0&{\frac {\pi}{4}}\\ 0&0&{\frac {\pi}{4}}&0\\ 0&{\frac {\pi}{4}}&0&0\\ {\frac {\pi}{4}}&0&0&0 \end {pmatrix}$$

Homework Equations


$$e^{(\mathbb A)}=\mathbb P {e^{\mathbb D}} {\mathbb P}^{-1}$$

The Attempt at a Solution


Eigenvalues of ##\mathbb (A)## are ##{\lambda}_1=-\frac {\pi}{4}##, ##{\lambda}_2=-\frac {\pi}{4}##, ##{\lambda}_3=\frac {\pi}{4}## and ##{\lambda}_4=\frac {\pi}{4}##.
The corresponding eigenvectors are
$${\vec v}_1=\begin {pmatrix} 0\\ -1\\1\\0 \end {pmatrix}$$
$${\vec v}_2=\begin {pmatrix} -1\\ 0\\0\\1 \end {pmatrix}$$
$${\vec v}_3=\begin {pmatrix} 0\\ 1\\1\\0 \end {pmatrix}$$
$${\vec v}_4=\begin {pmatrix} 1\\ 0\\0\\1 \end {pmatrix}$$

So, $$\mathbb P = \begin {pmatrix} 0&-1&0&1\\ -1&0&1&0\\ 1&0&1&0\\ 0&1&0&1 \end {pmatrix}$$

$$Co{\mathbb P} = \begin {pmatrix} 0&2&0&-2\\ 2&0&-2&0\\ -2&0&-2&0\\ 0&-2&0&-2 \end {pmatrix}$$

$${(Co{\mathbb P})}^T = \begin {pmatrix} 0&2&-2&0\\ 2&0&0&-2\\ 0&-2&-2&0\\ -2&0&0&-2 \end {pmatrix}$$

$$det{\mathbb P} = \begin {vmatrix} 0&-1&0&1\\ -1&0&1&0\\ 1&0&1&0\\ 0&1&0&1 \end {vmatrix}$$
Which gives
$$det{\mathbb P} = -4$$

Now, $${\mathbb P}^{-1} = \frac {{(Co{\mathbb P})}^T}{det{\mathbb P}}$$
So, $${\mathbb P}^{-1} = {\frac {1}{- 4}}{\begin {pmatrix} 0&2&-2&0\\ 2&0&0&-2\\ 0&-2&-2&0\\ -2&0&0&-2 \end {pmatrix}}$$

After simplification
$${\mathbb P}^{-1} = \begin {pmatrix} 0&{-\frac {1}{2}}&{\frac {1}{2}}&0\\ {-\frac {1}{2}}&0&0&{\frac {1}{2}}\\ 0&{\frac {1}{2}}&{\frac {1}{2}}&0\\ {\frac {1}{2}}&0&0&{\frac {1}{2}} \end {pmatrix}$$

Then $${{\mathbb P}^{-1}}{\mathbb A}{\mathbb P} = {\begin {pmatrix} 0&{-\frac {1}{2}}&{\frac {1}{2}}&0\\ {-\frac {1}{2}}&0&0&{\frac {1}{2}}\\ 0&{\frac {1}{2}}&{\frac {1}{2}}&0\\ {\frac {1}{2}}&0&0&{\frac {1}{2}}\end {pmatrix}} {\begin {pmatrix} 0&0&0&{\frac {\pi}{4}}\\ 0&0&{\frac {\pi}{4}}&0\\ 0&{\frac {\pi}{4}}&0&0\\ {\frac {\pi}{4}}&0&0&0 \end {pmatrix}}{\begin {pmatrix} 0&-1&0&1\\ -1&0&1&0\\ 1&0&1&0\\ 0&1&0&1\end {pmatrix}}$$
This simplifies, giving the diagonal matrix $${{\mathbb P}^{-1}}{\mathbb A}{\mathbb P} =\begin {pmatrix} -{\frac {\pi}{4}}&0&0&0\\ 0&-{\frac {\pi}{4}}&0&0\\ 0&0&{\frac {\pi}{4}}&0\\ 0&0&0&{\frac {\pi}{4}} \end {pmatrix}$$

Now, I don't know if $$e^{{{\mathbb P}^{-1}}{\mathbb A}{\mathbb P}} =\begin {pmatrix} e^{-{\frac {\pi}{4}}}&0&0&0\\ 0&e^{-{\frac {\pi}{4}}}&0&0\\ 0&0&e^{{\frac {\pi}{4}}}&0\\ 0&0&0&e^{{\frac {\pi}{4}}} \end {pmatrix}$$

If it is so, ##trace {[\mathbb P {e^{\mathbb D}} {\mathbb P}^{-1}]}## looks not ok.

Can anyone suggest any simpler way to handle such a problem?
 
Last edited:
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VSayantan said:

Homework Equations


$$e^{(\mathbb A)}=e^{({\mathbb P}^{-1} \mathbb A \mathbb P)}$$
This equation is not correct.
 
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DrClaude said:
This equation is not correct.

Thanks @DrClaude, for pointing out.
It should be $$e^{(\mathbb A)}=\mathbb P {e^{\mathbb D}}{\mathbb P}^{-1}$$
I corrected it.
 
You now need to calculate ##\mathbb P {e^{\mathbb D}}{\mathbb P}^{-1}##.
 
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DrClaude said:
You now need to calculate ##\mathbb P {e^{\mathbb D}}{\mathbb P}^{-1}##.

$$\mathbb P {e^{\mathbb D}} {\mathbb P}^{-1}=\begin {pmatrix} \cosh {\frac {\pi}{4}}&0&0&\sinh {\frac {\pi}{4}}\\ 0&\cosh {\frac {\pi}{4}}&\sinh {\frac {\pi}{4}}&0\\ 0&\sinh {\frac {\pi}{4}}&\cosh {\frac {\pi}{4}}&0\\ \sinh {\frac {\pi}{4}}&0&0&\cosh {\frac {\pi}{4}} \end {pmatrix}$$

So, I just take its ##trace##?
That's all?
 
VSayantan said:
$$\mathbb P {e^{\mathbb D}} {\mathbb P}^{-1}=\begin {pmatrix} \cosh {\frac {\pi}{4}}&0&0&\sinh {\frac {\pi}{4}}\\ 0&\cosh {\frac {\pi}{4}}&\sinh {\frac {\pi}{4}}&0\\ 0&\sinh {\frac {\pi}{4}}&\cosh {\frac {\pi}{4}}&0\\ \sinh {\frac {\pi}{4}}&0&0&\cosh {\frac {\pi}{4}} \end {pmatrix}$$

So, I just take its ##trace##?
That's all?
Yes, but that is doing it the hard way. An often-easier approach is to note that if the eigenvalues of a ##4 \times 4## matrix ##B## are ##r_1, r_1, r_2, r_2## the general form of ##f(B)## for an analytic function ##f(\cdot)## is
$$ f(B) = E_0 f(r_1) + E_1 f^{\prime}(r_1) + F_0 f(r_2) + F_1 f^{\prime}(r_2) \hspace{3ex}(1)$$
for some fixed matrices ##E_0,E_1,F_0,F_1## that are the same for any function ##f##. Here, I take
$$B = \pmatrix{0 & 0 & 0 & 1\\0 & 0 & 1 &0\\0 &1 & 0 & 0 \\ 1 & 0 & 0 & 0},$$
so that we want to know ##f(B) = \exp( \pi/4 \: B)##.

We can determine these matrices just by using equation (1) on the four functions ##f_0(x) = 1 \Rightarrow f_0(B) = I##, ##f_1(x) = x \Rightarrow f_1(B) = B##, ##f_2(x) = x^2 \Rightarrow f_2(B) = B^2## and ##f_3(x) = x^3 \Rightarrow f_3(B) = B^3##. In this case you have ##r_1 = 1## and ##r_2 = -1##, so that gives four equations:
$$\begin{array}{ccl}
I &=& E_0 + F_0\\
B &=& E_0+E_1 -F_0 + F_1 \\
B^2 &=& E_0 + 2 E_1 + F_0 - 2 F_1 \\
B^3 &=& E_0 + 3 E_1 - F_0 + 3 F_1
\end{array}
$$
You can solve these, and then get
$$ e^{\pi/4 \: B} = E_0 e^{\pi/4} + (\pi/4) E_1 e^{\pi/4} + F_0 e^{-\pi/4} - (\pi/4) F_1 e^{-\pi/4}, $$
so that
$$\text{trace} \left(e^{\pi/4 \: B}\right) = \text{trace} (E_0) e^{\pi/4} + (\pi/4) \text{trace} (E_1) e^{\pi/4} + \text{trace}(F_0) e^{-\pi/4}
-(\pi/4) \text{trace}(F_1) e^{-\pi/4}$$
 
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