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The flow and variational equation of a linear system: Phi(t,a)=e^{tA}a

Example

Let n≥1 and let A∈Mn(R). Consider the linear autonomous field F:Rn→Rn, F(x)=Ax, with local flow Φ:Ω→Rn (The local flow of an autonomous first-order system) and exponential series etA=∑m≥0tmm!Am (The exponential series of a bounded operator). Then

Ω=R×Rn,Φ(t,a)=etAa,

the exponential family satisfies the composition law e(s+t)A=esAetA, and for every a the derivative of b↦Φ(t,b) at a is DaΦ(t,a)=etA; the variational equation along t↦etAa,

Y′=AY,Y(0)=In,

has the unique solution Y(t)=etA on every compact interval (The variational equation along an ODE solution, Linear matrix ODEs have unique global solutions on a fixed interval).

Facts & Assumptions

Given: n≥1, a matrix A∈Mn(R) and the linear field F(x)=Ax. Coordinates are zero-based; a matrix acts on a column vector by (Ax)i=∑j<nAijxj. Vector norms are Euclidean (The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn), and ∥A∥ is the subordinate Euclidean operator norm (The operator norm as the least bound and as the unit-sphere or unit-ball supremum).

[F1]

Euclidean Rn is complete (R and Rn for n≥1 with the Euclidean metric are complete, componentwise from the Cauchy criterion in R). Rowwise Cauchy-Schwarz gives ∥Ax∥22≤(∑i,j<nAij2)∥x∥22, so A is bounded and F is globally Lipschitz (Cauchy-Schwarz ∣⟨x,y⟩∣≤∥x∥2∥y∥2 with its equality case, the triangle inequality for ∥⋅∥2, the parallelogram law and polarisation). The exponential series defines a C∞ group t↦etA with ddtetA=AetA=etAA, e0=In and e(s+t)A=esAetA (The exponential series of a bounded operator, Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes).

[F3]

The variational equation along a solution x of an autonomous C1 field is the linear matrix ODE Y′=DF(x(t))Y; for the linear field it is Y′=AY, and it has a unique solution on every compact interval for every prescribed initial matrix at a time in that interval (The variational equation along an ODE solution, Linear matrix ODEs have unique global solutions on a fixed interval). For a0∈Rn, R,T>0, M:=sup⁡B‾(a0,R)∥Ax∥2 and 0<ρ<R−MT, the smooth-dependence theorem identifies DaΦ(t,a)h with Ya(t)h for a∈B(a0,ρ) and t∈[0,T], with the derivative bound L=∥A∥ and the trapping bound ∥Φ(t,a)−a0∥2≤ρ+Mt<R (C¹ dependence of an autonomous flow on the initial condition, and the variational equation).

Verification

technique · direct; verify the explicit solution, its maximality and the derivative identity
1.1givenF1F2

For fixed a, the curve x(t):=etAa is defined on all of R and satisfies x′(t)=AetAa=Ax(t) and x(0)=a by [F1]. Hence it is a solution of the initial value problem on R, and by [F2] it is the unique maximal solution through (0,a); therefore Ia=R and Φ(t,a)=x(t;a)=etAa for every t∈R. As a was arbitrary, Ω=R×Rn.

2.1step 1.1F1algebra

For fixed t, the map b↦Φ(t,b)=etAb is linear, and its derivative at every point is itself: Φ(t,a+h)−Φ(t,a)−etAh=0, so DaΦ(t,a)=etA with zero remainder; this holds for every real t.

2.2step 1.1F1

The composition law for the flow follows from [F1]: Φ(s+t,a)=e(s+t)Aa=esAetAa=Φ(s,Φ(t,a)), in agreement with the general identity of The local flow is a partial one-parameter group: identity, composition and inverse-time laws.

3.1step 1.12.1F1F3∎

The function Y(t):=etA satisfies Y′(t)=AY(t) and Y(0)=In by [F1]; by the uniqueness clause of [F3] it is the unique solution of the variational initial value problem on every compact interval containing 0, and every compact interval is contained together with 0 in one such interval. In particular the conclusion of the smooth-dependence theorem for the derivative of a↦Φ(t,a) is achieved exactly, with no error term.

Remarks

Depends on

Dependency tree · 2 levels

Sources