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 ) .