Determinant of the exponential of a matrix

In summary, the conversation discusses the relationship between the determinant of the matrix e^B and the trace of B. It is shown that e^{tr B} is equal to the product of the diagonal entries of e^B, and this is proven using the Jordan canonical form theorem. It is then stated that the determinant of e^B is equal to the determinant of e^J, where J is a diagonal matrix obtained by a change of basis transformation. The conversation ends with a question about why the product of the diagonal entries of e^B is equal to the product of the diagonal entries of e^J, which can be answered by computing the determinant of e^J explicitly in terms of the eigenvalues of B.
  • #1
jdstokes
523
1
Let [itex]B \in \mathbb{R}^{n\times n}. [/itex]Show that [itex]\det e^B = e^{tr B}[/itex] where tr B is the trace of of B.

Clearly [itex]e^{tr B}[/itex] is the product of the diagonal entries of [itex]e^{B}[/itex].

By the Jordan canonical for theorem, [itex]\exists P,J \in \mathbb{C}^{n \times n}[/itex] where P is invertible and J is a diagonal sum of Jordan blocks, such that

[itex]BP = PJ[/itex]
[itex]P^{-1}BP = J[/itex]
[itex]P^{-1}e^{B}P = e^{J}[/itex]
[itex]e^{B} = Pe^{J}P^{-1}[/itex]
[itex]\det e^{B} = \det P \det e^{J} \det P^{-1}[/itex]
[itex]\det e^{B} = \det e^{J}[/itex]

This is where I get stuck. Since [itex]e^{J}[/itex] is upper triangular, its determinant is the product of its diagonal entries, but why should this be equal to the product of the diagonal entries of [itex]e^{B}[/itex]?

Thanks
 
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  • #2
Can you compute [itex]\det e^J[/itex] explicitly (in terms of the eigenvalues of B)? If so, then you can use the fact that the traces of similar matrices are equal.
 

FAQ: Determinant of the exponential of a matrix

What is the determinant of the exponential of a matrix?

The determinant of the exponential of a matrix is a mathematical concept that represents the scalar value associated with a square matrix. It is calculated by taking the exponential of the matrix and then finding the determinant of the resulting matrix.

Why is the determinant of the exponential of a matrix important?

The determinant of the exponential of a matrix is important because it has many applications in fields such as physics, engineering, and economics. It can be used to solve systems of linear equations, calculate eigenvalues and eigenvectors, and determine the stability of a system.

How is the determinant of the exponential of a matrix calculated?

The determinant of the exponential of a matrix is calculated by first taking the exponential of the matrix, then finding the determinant of the resulting matrix. This can be done using various methods such as Gaussian elimination or using the properties of determinants.

What are the properties of the determinant of the exponential of a matrix?

Some properties of the determinant of the exponential of a matrix include: it is equal to the exponential of the sum of the eigenvalues of the matrix, it is equal to the product of the eigenvalues of the matrix, and it is equal to the determinant of the matrix raised to the power of the number of times the matrix is multiplied by itself.

Are there any limitations to calculating the determinant of the exponential of a matrix?

Yes, there are limitations to calculating the determinant of the exponential of a matrix. It can only be calculated for square matrices, and the matrix must be invertible (have a nonzero determinant). Additionally, the calculation can become computationally intensive for large matrices.

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