Math 2.0

Linear and multilinear algebra; matrix theory Definition

Matrix exponential

Builds on Square matrix

Definition

Let ๐•‚\mathbb{K} be โ„\R or โ„‚\C, and let AA be an nร—nn \times n matrix over ๐•‚\mathbb{K}. The matrix exponential of AA is the nร—nn \times n matrix eA=expโก(A)=โˆ‘k=0โˆž1k!Ak=In+A+12A2+16A3+โ‹ฏโ€‰,e^A = \exp(A) = \sum_{k=0}^{\infty} \frac{1}{k!} A^k = I_n + A + \frac{1}{2} A^2 + \frac{1}{6} A^3 + \cdots, with A0=InA^0 = I_n.

Remarks

The series converges for each matrix AA, entry by entry. For a diagonal matrix DD with entries did_i, eDe^D is diagonal with entries edie^{d_i}. If A=PDPโˆ’1A = P D P^{-1}, then eA=PeDPโˆ’1e^A = P e^D P^{-1}. The function x(t)=etAx0x(t) = e^{tA} x_0 solves the linear differential equation xโ€ฒ=Axx' = Ax with x(0)=x0x(0) = x_0.

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