The reflection ψ(u) = a+b-u of [a,b] is its own inverse and has derivative -1, so the chain rule moves solutions between the terminal and the reversed initial value problem; the reversed right-hand side inherits continuity and the Lipschitz constant, and Picard–Lindelöf applies to it.
Computations with real numbers are those of The Real Numbers as a Type (vi). By Basic Facts about Intervals of the Real Line (v), is an interval containing the two distinct points and ; it serves as both and of Rules for Derivatives of Vector- and Matrix-Valued Maps (xi) below.
The reflection. Let be the function with for every of The Reflection of a Closed Interval (i). For all , by The Reflection of a Closed Interval (ii) and by The Reflection of a Closed Interval (iii); and , read as a function into , is differentiable, derivatives being taken relative to , with for every , by The Reflection of a Closed Interval (v). Moreover and .
Step 1 (reflected functions). Let be functions with for every , and let be differentiable. Then , the two functions having the same values (Maps Formed Pointwise: Constant Maps, Pairs of Values, Maps Applied to Values, and Families of Maps (iii)). Let . As is differentiable at , Rules for Derivatives of Vector- and Matrix-Valued Maps (xi), with for and , for and for , shows that is differentiable at with
the last step by Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iv), points of being maps with the operations of Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (iv). So is differentiable. In the same way, by the matrix half of Rules for Derivatives of Vector- and Matrix-Valued Maps (xi) and by Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iv) with the operations of Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv): if are functions with for every and is differentiable, then is differentiable with for every .
Proof of (i). First, we describe and . By Projection, Evaluation and Currying Maps (i), there are functions and with and for all and . By Maps Formed Pointwise: Constant Maps, Pairs of Values, Maps Applied to Values, and Families of Maps (iii), applied first to and and then to , and , there is a function with for all and . By Maps Formed Pointwise from Vector and Matrix Operations (i), with for , for and for , there is exactly one function whose value at every point is ; this function is . For a function , the composite is, by Maps Formed Pointwise: Constant Maps, Pairs of Values, Maps Applied to Values, and Families of Maps (iii), the only function whose value at every is ; this function is .
Now let and be as in (i). For , .
Suppose that is differentiable with for every and . By Step 1, with for and for , is differentiable, and for
and .
Conversely, suppose that is differentiable with for every and . By Step 1, with for and for (as ), is differentiable, and for
using (Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (ii)); and .
Finally, by Solution of an Initial Value Problem on (i) and Solution of an Initial Value Problem on (iii), with for , a solution of the initial value problem of The Initial Value Problem for a First-Order System of Ordinary Differential Equations (i) with right-hand side and initial value is exactly a function that is differentiable relative to with for every and .
Proof of (ii). The proof of (i) applies word for word with , , , , , and in place of , , , , , and , with Maps Formed Pointwise from Vector and Matrix Operations (i) applied to in the role of (with and as here) for the existence of , with the matrix half of Step 1, with for matrices (Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (ii)), and with Solution of an Initial Value Problem on (ii) and The Initial Value Problem for a First-Order System of Ordinary Differential Equations (ii) in place of Solution of an Initial Value Problem on (i) and The Initial Value Problem for a First-Order System of Ordinary Differential Equations (i).
Proof of (iii). We treat the vector case; the matrix case is the same with , , (ii) and The Picard–Lindelöf Theorem on a Closed Interval: Existence, Uniqueness and Continuous Dependence for Globally Lipschitz Systems (iii) in place of , , (i) and The Picard–Lindelöf Theorem on a Closed Interval: Existence, Uniqueness and Continuous Dependence for Globally Lipschitz Systems (i), being a metric by The Real Matrices with the Operator-Norm Distance Form a Complete Metric Space with Entrywise Convergence (i) with by The Distance between Real Matrices (i), and with for , by Rules for Pointwise Operations on Real-Valued Maps: a Commutative Ring, Scalar Multiples and Evaluation (iv) with the operations of Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations (iv) and by Rules for the Operator Norm: Bound, Least Constant, Definiteness, Homogeneity, Triangle Inequality and Products (v), in place of Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v).
Let be the function of (i). For all ,
by Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (ii) and Additive Laws for Vectors in and for Real Matrices: Group Laws and Rules for Differences (i), and by Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (v). Hence, for and , applying these to the points and and using and ,
is Lipschitz. For and , by with and by the hypothesis on at , ; exchanging and , .
is continuous. Let and let with . As is continuous on , it is continuous at relative to (Continuous Map Between Metric Spaces (ii)), which gives with such that for every whose product-metric distance from is less than . Let have product-metric distance less than from . By The Product Metric is a Metric (iii), and , with as in Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces (iv). As , the same clause shows that has distance less than from , and by and Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (ii),
So is continuous at relative to , and hence continuous on by Continuous Map Between Metric Spaces (ii).
Existence and uniqueness. Let . By The Picard–Lindelöf Theorem on a Closed Interval: Existence, Uniqueness and Continuous Dependence for Globally Lipschitz Systems (i), with for and for , the initial value problem of The Initial Value Problem for a First-Order System of Ordinary Differential Equations (i) with right-hand side and initial value has exactly one solution . Let be the function with for every . The function has the values , so it is (Values, Restriction and Equality of a Map, and the Map as a Defined Set Symbol (iv)); by (i), applied to and , is differentiable with for every and . Let both be differentiable with for every and , and let be the functions of (i) for , so . By (i), and are solutions of the initial value problem with right-hand side and initial value , so . As for every , as shown in the proof of (i), for every , and (Values, Restriction and Equality of a Map, and the Map as a Defined Set Symbol (iv)).
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