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Monotonicity of the discrete-time Riccati operator on the positive semidefinite cone

Proved
BertsekasDP.riccati_map_monotone

by olivier · Sep 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

control-theorylinear-quadratic-regulatormatrix-analysisriccati-equation

Let AAA be n×nn \times nn×n, BBB be n×mn \times mn×m, QQQ be n×nn \times nn×n, and let R≻0R \succ 0R≻0 be m×mm \times mm×m. Write

F(P)=A⊤(P−PB(B⊤PB+R)−1B⊤P)A+QF(P) = A^{\top}\Bigl(P - PB\bigl(B^{\top}PB + R\bigr)^{-1}B^{\top}P\Bigr)A + QF(P)=A⊤(P−PB(B⊤PB+R)−1B⊤P)A+Q

for the discrete-time Riccati operator. If PPP and P′P'P′ are positive semidefinite and P⪯P′P \preceq P'P⪯P′ in the Loewner order, then

F(P)⪯F(P′).F(P) \preceq F(P').F(P)⪯F(P′).

The operator therefore preserves the order of the positive semidefinite cone. This is the workhorse behind every convergence argument for the Riccati recursion: it makes the iterates started from 000 nondecreasing, it bounds them above by any fixed point, and it lets one sandwich an arbitrary starting point between two controlled sequences.

The reason it holds is that F(P)F(P)F(P) is the minimum over feedback gains LLL of (A+BL)⊤P(A+BL)+Q+L⊤RL(A+BL)^{\top}P(A+BL) + Q + L^{\top}RL(A+BL)⊤P(A+BL)+Q+L⊤RL, an expression that is itself monotone in PPP by congruence, and a minimum of monotone functions is monotone.

Formalization Note Mathlib carries no Loewner order on matrices, so P⪯P′P \preceq P'P⪯P′ is stated as (P' - P).PosSemidef, and likewise for the conclusion. Positive semidefiniteness in Mathlib includes symmetry. The matrix inverse is Mathlib's total inverse; under R≻0R \succ 0R≻0 and P⪰0P \succeq 0P⪰0 the matrix B⊤PB+RB^{\top}PB + RB⊤PB+R is positive definite, hence genuinely invertible, so the formula is the intended one.

Preamble
import Mathlib
import Definitions.Def_BertsekasRiccatiMap

open Matrix
Formal statement
namespace BertsekasDP

theorem riccati_map_monotone {n m : ℕ}
    (A : Matrix (Fin n) (Fin n) ℝ) (B : Matrix (Fin n) (Fin m) ℝ)
    (Q : Matrix (Fin n) (Fin n) ℝ) (R : Matrix (Fin m) (Fin m) ℝ)
    (P P' : Matrix (Fin n) (Fin n) ℝ)
    (hP : P.PosSemidef) (hP' : P'.PosSemidef) (hR : R.PosDef)
    (hle : (P' - P).PosSemidef) :
    (BertsekasRiccatiMap A B Q R P' - BertsekasRiccatiMap A B Q R P).PosSemidef := by sorry

end BertsekasDP
Source
D. P. Bertsekas, Dynamic Programming and Optimal Control, Vol. I, 3rd ed., Athena Scientific, 2005, Section 4.4; monotonicity of the Riccati operator on the positive semidefinite cone, used throughout the proof of Proposition 4.4.1.

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