Approximate the path by measurable paths with finitely many values, for which the composition is a finite union of measurable pieces, and pass to the pointwise limit using the Lipschitz bound; integrability follows by domination.
Throughout, a function is measurable if and only if all its components are (Vector- and Matrix-Valued Measurable Maps: Components, Entries and Continuous Images (i)); a function into has its component functions, and is the only function with them (Component Maps of a Map into , Entry Maps of a Map into Matrices, and Maps Assembled from Them (i), Component Maps of a Map into , Entry Maps of a Map into Matrices, and Maps Assembled from Them (iii)); and denotes the -th component of . By Carathéodory–Lipschitz Right-Hand Sides (iv), is Carathéodory–Lipschitz with constant .
Proof of (i). Let be measurable; its components are measurable.
Step 1: paths with finitely many values. For and let be the function of Approximation of Measurable Functions by Dyadic Simple Functions (iii) for : it is a simple function, and
Let be the function with components . Each is measurable, as its components are simple, and its image is finite, being contained in for the finite union of the images of (Simple Functions, Nonnegative Simple Functions, and the Simple Integral (i), Euclidean Space : n-Tuples of Real Numbers with Their Componentwise Operations (i), Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (x), Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (vii), Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (ix), Finite Sets: the Pigeonhole Principle, Uniqueness of the Length, Subsets, Unions, Products, Images, Bounded Sets of Natural Numbers, Extreme Elements, Sets of Maps, Finite Unions and Finite Choice (iv)). By with the Euclidean Distance Is a Complete Metric Space with Coordinatewise Convergence (ii), the coordinatewise convergence above gives
Step 2: the composed approximations are measurable. Fix and . Since every satisfies for exactly one ,
The first set in each intersection is the preimage under the measurable function of , which lies in by Borel Sets of a Metric Space: Open and Closed Sets, Points, Open Sets of Subspaces, and Subspaces (iii); the second is the preimage of under , which is measurable by Carathéodory–Lipschitz Right-Hand Sides (i). Both therefore lie in (Measurable Map, and the Set of Measurable Maps (iv), Measurable Map, and the Set of Measurable Maps (i)), and so does the union of their intersections over the finite set (Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (ix), and induction over the finite set by Induction over Finite Sets, and Predicative Formulas for the Segments [n] and for Finiteness (iii), from Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (vi) with Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (vii)). Hence is measurable, and so is each of its components , .
Step 3: passage to the limit. Let . By Carathéodory–Lipschitz Right-Hand Sides (ii),
so in , and by with the Euclidean Distance Is a Complete Metric Space with Coordinatewise Convergence (ii) for every . Fix . The functions , , form a sequence of measurable functions (Step 2) converging at every point of , so by Suprema, Pointwise Limits and the Convergence Set of Measurable Real-Valued Maps (ii) their pointwise limit is measurable; by uniqueness of limits (The Limit of a Convergent Sequence (i)) that limit is . Thus all components of are measurable, and so is .
Proof of (ii). Let be measurable with for every . For , the triangle inequality (Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (vi)) and Carathéodory–Lipschitz Right-Hand Sides (ii) give
The function lies in by Carathéodory–Lipschitz Right-Hand Sides (iii) and Rules for Integrals of Vector- and Matrix-Valued Functions (viii), and the constant function with value , being continuous on , lies in by Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval (iii); so their sum lies in (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vii)). By (i) and Sums, Products, Transposes, Dot Products and Norms of Measurable Vector- and Matrix-Valued Maps (iii), the function is measurable, and it is bounded by ; hence it lies in by Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (v), and by Rules for Integrals of Vector- and Matrix-Valued Functions (i).
Proof of (iii). Let be continuous on . Its components are continuous on (Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (i), Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (v)), hence measurable by Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval (iii), so is measurable. The function is continuous on (Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (iii), Continuity of Vector- and Matrix-Valued Maps: the Componentwise Criterion, Norms and Algebraic Operations (v)), hence bounded by Restricted Lebesgue Measure and Integral Toolkit on a Compact Interval (iii): there is with for every . Now (ii) applies.
Proof of (iv). For this is Carathéodory–Lipschitz Right-Hand Sides (ii) with and in place of and .
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