John Stillwell - Naive Lie Theory.pdf - Index of
John Stillwell - Naive Lie Theory.pdf - Index of
John Stillwell - Naive Lie Theory.pdf - Index of
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142 7 The matrix logarithm<br />
7.1.1 Supposing x = a 0 + a 1 y+a 2 y 2 + ··· (the function we call e y − 1), show that<br />
y = (a 0 + a 1 y + a 2 y 2 + ···)<br />
− 1 2 (a 0 + a 1 y + a 2 y 2 + ···) 2<br />
+ 1 3 (a 0 + a 1 y + a 2 y 2 + ···) 3 ··· (*)<br />
7.1.2 By equating the constant terms on both sides <strong>of</strong> (*), show that a 0 = 0.<br />
7.1.3 By equating coefficients <strong>of</strong> y on both sides <strong>of</strong> (*), show that a 1 = 1.<br />
7.1.4 By equating coefficients <strong>of</strong> y 2 on both sides <strong>of</strong> (*), show that a 2 = 1/2.<br />
7.1.5 See whether you can go as far as Newton, who also found that a 3 = 1/6,<br />
a 4 = 1/24, and a 5 = 1/120.<br />
Newton then guessed that a n = 1/n! “by observing the analogy <strong>of</strong> the series.”<br />
Unlike us, he did not have independent knowledge <strong>of</strong> the exponential function<br />
ensuring that its coefficients follow the pattern observed in the first few.<br />
As with exp, term-by-term differentiation and series manipulation give some<br />
familiar formulas.<br />
7.1.6 Prove that<br />
dt d log(1 + At)=A(1 + At)−1 .<br />
7.2 The exp function on the tangent space<br />
For all the groups G we have seen so far it has been easy to find a general<br />
form for tangent vectors A ′ (0) from the equation(s) defining the members<br />
A <strong>of</strong> G. We can then check that all the matrices X <strong>of</strong> this form are mapped<br />
into G by exp, and that e tX lies in G along with e X , in which case X is a<br />
tangent vector to G at 1. Thus exp solves the problem <strong>of</strong> finding enough<br />
smooth paths in G to give the whole tangent space T 1 (G)=g.<br />
But if we are not given an equation defining the matrices A in G, we<br />
may not be able to find tangent matrices in the form A ′ (0) in the first place,<br />
so we need a different route to the tangent space. The log function looks<br />
promising, because we can certainly get back into G by applying exp to a<br />
value X <strong>of</strong> the log function, since exp inverts log.<br />
However, it is not clear that log maps any part <strong>of</strong> G into T 1 (G), except<br />
the single point 1 ∈ G. We need to make a closer study <strong>of</strong> the relation<br />
between the limits that define tangent vectors and the definition <strong>of</strong> log.<br />
This train <strong>of</strong> thought leads to the realization that G must be closed under<br />
certain limits, and it prompts the following definition (foreshadowed in<br />
Section 1.1) <strong>of</strong> the main concept in this book.