Reversing time turns the terminal problem into an initial value problem whose solutions are all symmetric; on symmetric matrices its right-hand side is that of the filter Riccati equation with reduced coefficients, so the filter Riccati theorem gives exactly one solution with its bounds, and reversing time again, also for the Lyapunov comparison solution, gives the three clauses.
Real arithmetic is that of The Real Numbers as a Type (iv). Functions formed pointwise from functions on a set, such as and below, are those of Maps Formed Pointwise from Vector and Matrix Operations (i), and pointwise inverses, such as in the functions and of Step 2, are those of Maps Formed Pointwise from Vector and Matrix Operations (ii), applied to the composite of with the first projection of Projection, Evaluation and Currying Maps (i) (a function by Maps Formed Pointwise: Constant Maps, Pairs of Values, Maps Applied to Values, and Families of Maps (iii)). Matrix computations below use Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (i), Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (ii) and Algebraic Rules for Matrix Products, Matrix-Vector Products and Transposes (vii), together with Products of Real Matrices with Zero Matrices, Negatives and Differences (i), Products of Real Matrices with Zero Matrices, Negatives and Differences (ii), Products of Real Matrices with Zero Matrices, Negatives and Differences (iii), Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (i) and Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (ii); in particular , the case of , since entrywise by Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv).
Step 1: the reversed data. Let be the function of Maps Formed Pointwise from Vector and Matrix Operations (ii). It is continuous on by Continuity and Derivative of the Inverse of a Matrix-Valued Map (i), and every lies in and is positive definite by Invertibility of Positive Definite Matrices (ii) and Invertibility of Positive Definite Matrices (iii). Hence and are continuous on by Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iv), Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (v) and Continuity of Projections, Negatives and Differences, and Derivatives on Subintervals (ii). Let be the reflection of The Reflection of a Closed Interval (i); it satisfies for every , by The Reflection of a Closed Interval (ii), and is continuous on , by The Reflection of a Closed Interval (iv). Define by
They are continuous on : and are, as just shown, and so is , by Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iv) and Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (v); their compositions with are continuous by the composition rule of The Real Line: Standing Notation and Background for Calculus on Intervals (vi), and transposes of continuous functions are continuous by Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iv). For every , with : lies in and is positive semidefinite, by the statement and the hypothesis; and lies in and is positive semidefinite by Rules for Symmetric and Positive Semidefinite Matrices: Closure, Self-Adjointness, Polarization, Congruence and Cones (v), applied with the matrix and with , which is positive semidefinite by Rules for Symmetric and Positive Semidefinite Matrices: Closure, Self-Adjointness, Polarization, Congruence and Cones (x). Also is positive semidefinite. Hence The Filter Riccati Equation: Global Existence and Uniqueness, Symmetry, and the Lyapunov Bound (i) and The Filter Riccati Equation: Global Existence and Uniqueness, Symmetry, and the Lyapunov Bound (ii) apply with , , in place of , , and in place of . Let be the right-hand side of the initial value problem of The Riccati Differential Equations of Filtering and Control (i) for these data,
By The Filter Riccati Equation: Global Existence and Uniqueness, Symmetry, and the Lyapunov Bound (i), this initial value problem, with initial value , has exactly one solution ; by The Filter Riccati Equation: Global Existence and Uniqueness, Symmetry, and the Lyapunov Bound (ii), and for every , where is the solution of the initial value problem of The Lyapunov Differential Equation (i) with data , and .
Step 2: reversing the control problem. Let be the function defined by the right-hand side displayed in The Riccati Differential Equations of Filtering and Control (ii) for , , , , ,
By Time Reversal: Terminal Value Problems as Initial Value Problems (ii), the function , , exists, and a function is a solution of the terminal value problem with right-hand side and terminal value if and only if is a solution of the initial value problem of The Initial Value Problem for a First-Order System of Ordinary Differential Equations (ii) with right-hand side and initial value . With and ,
Step 3: every solution of the reversed problem is symmetric. For every and , lies in by Rules for Symmetric and Positive Semidefinite Matrices: Closure, Self-Adjointness, Polarization, Congruence and Cones (v), and ; hence
Let be a solution of the initial value problem with right-hand side and initial value . The function is differentiable with by Rules for Derivatives of Vector- and Matrix-Valued Maps (viii) and Rules for Derivatives of Vector- and Matrix-Valued Maps (iv), so
The functions and are continuous on (composition rule of The Real Line: Standing Notation and Background for Calculus on Intervals (vi) and Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iv)), and so is the constant function . Thus and (whose derivative is by Rules for Derivatives of Vector- and Matrix-Valued Maps (ix)) are both solutions of the initial value problem with the right-hand side of Linear Systems with Continuous Coefficients: Continuity, Global Lipschitz Bound and Well-Posedness of the Initial Value Problem (i) for these two maps and , and initial value . By Linear Systems with Continuous Coefficients: Continuity, Global Lipschitz Bound and Well-Posedness of the Initial Value Problem (v), , so , that is , for every .
Step 4: on symmetric matrices, . Let , and . Since and are symmetric, and , so, omitting the argument ,
Hence, substituting the expansion of into the formula for of Step 2 and regrouping the four terms of ,
the cross terms and of join to give , and joins to give . Therefore
using .
Step 5: proof of (i). The solution of Step 1 has symmetric values, so by Step 4 for every , and : is a solution of the initial value problem with right-hand side and initial value . Conversely, let be any solution of this problem; by Step 3 its values are symmetric, so by Step 4 , and is a solution of the filter problem of Step 1, whence by The Filter Riccati Equation: Global Existence and Uniqueness, Symmetry, and the Lyapunov Bound (i). So is the only solution of the reversed problem. Let , the function of Time Reversal: Terminal Value Problems as Initial Value Problems (ii). Then , since , so is a solution of the terminal value problem by Step 2. If is any solution of the terminal value problem, then is a solution of the reversed problem by Step 2, so and . This proves (i).
Step 6: proof of (ii). For , lies in and satisfies by Step 1, so is positive semidefinite by The Positive Semidefinite Ordering is a Partial Order Compatible with the Linear Structure (vii).
Step 7: proof of (iii). Let be as in (iii), and let be the function defined by the right-hand side displayed in The Lyapunov Differential Equation (ii) for and , . By Time Reversal: Terminal Value Problems as Initial Value Problems (ii), is a solution of the initial value problem with right-hand side and initial value . As
is a solution of the initial value problem of The Lyapunov Differential Equation (i) with data , and , so by The Lyapunov Differential Equation: Well-Posedness, Representation, Symmetry, Positive Semidefiniteness, Comparison and the Backward Equation (i). Hence, for , Step 1 with gives
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