We know that the matrix exponential of a matrix is well-defined and absolutely convergent
(1.5.18)
for which, the matrix logarithm represents the inverse function for the exponential mapping . The matrix logarithm, like the classical log, is defined by a power series that only converges in a certain neighborhood of the identity. To start, it is important to first prove that equals the following infinite series
(1.5.19)
Setting equal to the above infinite series
(1.5.20)
we subtract one from each side then divide both sides by
(1.5.21)
which results in a relationship involving and , equal to the initial infinite series
(1.5.22)
We divide both sides of the above by , then multiplying through by
(1.5.23)
which can be simplified and solved for , to complete the proof
(1.5.24)
It turns out that we can describe the logarithm of as a relationship of this infinite series. For , and , the logarithm can be expressed as the integral
(1.5.25)
where changing the bounds of integration and making a substitution, the integral can be expressed, as
(1.5.26)
whose integrand equals the infinite series of the proof
(1.5.27)
Solving this integral is straightforward since it is in the form of a polynomial, which can be expressed as the expanded infinite sum
(1.5.28)
which is equivalent to the Taylor series for , around the identity. A change of variables results in the Mercator series
(1.5.29)
valid for , and . This classical infinite series can be extended to matrices, with which we can define the logarithm of a square matrix, as
(1.5.30)
for , the identity matrix. The function , is well-defined and continuous in the neighborhood of the identity , and absolutely convergent for .
Theorem (1.5.31) – The inverse property of the matrix logarithm will hold for any matrix , within the unit distance of the identity, as described by Stillwell 1
Proof - As and , we have
by way of the matrix logarithm definition and the Mercator series. As the series is absolutely convergent, the terms can be arranged by powers of
The higher-powered coefficients of are zero
and we can say with certainty that all the ensuing coefficients in the series will sum to zero since the same terms occur in the expression , for with sums equal to zero since , under these conditions.