Adopt the setting and notation of the Kalman covariance Riccati existence theorem: real numbers a<b, a natural number k≥1, assignments A, C and D of real matrices with k rows and k columns to each t∈[a,b], all entries continuous in t, with every C(t) and every D(t) positive semidefinite, a positive semidefinite P0, and the unique assignment P of real k×k matrices with continuous entries such that
P(t)=P0+∫at(A(r)P(r)+P(r)A(r)⊤−P(r)D(r)P(r)+C(r))dr(a≤t≤b),
every P(t) being symmetric by that theorem. Integrals of matrix- or vector-valued functions are taken entrywise as Riemann integrals of continuous functions, which exist by claim 3 of Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval; products are the matrix product and the matrix-vector product, (⋅)⊤ is the transpose, and x⋅y is the dot product on the Euclidean space Rk. Continuity of a real-valued function on an interval is understood as in that theorem. Let s∈[a,b] and x∈Rk.
Then the following hold.
1. (Adjoint path.) There is exactly one assignment λ of a vector λ(u)∈Rk to each u∈[a,b], with continuous components, such that λ(s)=x and
λ(u)=λ(a)−∫au(A(r)−P(r)D(r))⊤λ(r)dr(a≤u≤b).
2. (Injection profile.) The assignment ψ defined by ψ(u)=P(u)λ(u) has continuous components and satisfies
ψ(u)=P0λ(a)+∫au(A(r)ψ(r)+C(r)λ(r))dr(a≤u≤b).
3. (Energy identity.) x⋅ψ(s)=x⋅(P(s)x); the function
r ⟼ λ(r)⋅(C(r)λ(r))+ψ(r)⋅(D(r)ψ(r))
is continuous and nonnegative on [a,b]; the real number λ(a)⋅(P0λ(a)) is nonnegative; and
λ(a)⋅(P0λ(a))+∫as(λ(r)⋅(C(r)λ(r))+ψ(r)⋅(D(r)ψ(r)))dr = x⋅(P(s)x).