The matrix exponential

The matrix exponential function

Definition (The matrix exponential):

If M is a square matrix then the exponential of M is defined to be exp ( M ) = I + M + 1 2 M 2 + 1 3 ! M 3 + = n = 0 1 n ! M n . Here M 0 = I .

Example:

Let M = ( 0 - θ θ 0 ) . We'll compute exp ( M ) . First let's compute the powers of M :

  • M 2 = ( - θ 2 0 0 - θ 2 ) = - θ 2 I ,

  • M 3 = ( 0 θ 3 - θ 3 0 ) ,

  • M 4 = ( M 2 ) 2 = θ 4 I .

  • M 5 = θ 4 M , etc

so we end up with: exp ( M ) = ( 1 - θ 2 2 + θ 4 4 ! - - θ + 1 3 ! θ 2 - θ - 1 3 ! θ 3 + 1 - 1 2 θ 2 + 1 4 ! θ 4 - ) = ( cos θ - sin θ sin θ cos θ ) where we have just observed that the power series in each entries are the Taylor series of cos and sin.

Remark:

This is the 2-by-2 matrix that gives you a rotation by an angle θ . You should imagine that, as in this example, the exponential map "eats" a very simple matrix (like an n -by- n antisymmetric matrix) and outputs a much more complicated and useful matrix (like an n -by- n rotation matrix).

Pre-class exercise

Exercise:

Compute exp ( 0 x 0 0 ) and exp ( 0 a c 0 0 b 0 0 0 ) .