Linearity of the periodic gradient and Laplacian comes from the derivative rules for sums and scalar multiples; is the image of this linear calculus and its closure is a closed subspace by a sequence argument; a bounded functional on gradients is well defined and Lipschitz on , extends continuously and linearly to , is composed with the orthogonal projection and represented by Riesz, the representer lying in because it annihilates the orthogonal complement, and uniqueness follows from density of in .
Each result cited is universally quantified over the data in its own statement, and is applied here to the data named in the statement above; results stated for a Euclidean dimension are applied with , the dimension fixed in Optimal Transport on the Flat Torus: Standing Notation §conventions.
Preliminaries. The measure belongs to by Probability Measures on the Flat Torus, the Torus Cost of a Coupling, the Torus Wasserstein Distance and Optimal Couplings §measures. Write . By Optimal Transport on the Flat Torus: Standing Notation §fields, is the space of classes of square-integrable random vectors in on the probability space , and it is a real Hilbert space by The Space of Square-Integrable Random Vectors is a Real Hilbert Space; Its Laws Have Finite Second Moment; Constants and Translations §hilbert; by The Space of Square-Integrable Random Vectors §inner-product its inner product is and is the associated norm, so that and for . Write for its distance, a metric by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §metric, and for its zero vector. Convergence of sequences in , closed sets and the closure are those of Real Hilbert Space §topology, which is the sense in which Optimal Transport on the Flat Torus: Standing Notation §fields takes closures; by Sequential Characterization of the Closure in a Metric Space, a point of lies in the closure of a subset exactly when it is the limit of a sequence of points of . A subset of carries the restriction of , a metric on by claim 1 of The Restriction of a Metric to a Subset Induces the Subspace Topology; the resulting metric space is written . By The Space of Square-Integrable Random Vectors §classes, and , hence , for square-integrable and real , and is the class of the constant map whose value is the origin; the additive inverse of is by Square-Integrable Random Vectors: Coordinates, Operations, Almost Sure Equality and the Mean-Square Form §vector-space. Consequently an identity between maps that holds at every point of holds between their classes. As in the statement, also denotes the class in of the gradient of , which lies in by Optimal Transport on the Flat Torus: Standing Notation §calculus. Finally, a sequence of real numbers has at most one limit: if converges to and to , then claim 1 of Order Properties of Limits of Real Sequences, applied with for every , gives and, with the roles of and exchanged, .
Step 1: claim 1. Let and let be real. By Elementary Properties of Lattice-Periodic Functions §algebra, which is in force by The Flat Torus: Standing Notation §periodic, the scalar multiples and lie in , and therefore so does their sum . Every element of is smooth on , that is, of class on for every natural number ; being -periodic, it therefore lies in and in by Lattice-Periodic Functions and the Periodic Function Classes §classes, so that its gradient and its Laplacian are defined as in Optimal Transport on the Flat Torus: Standing Notation §calculus. The set is open in itself, as recorded in the preamble of Lattice-Periodic Functions and the Periodic Function Classes.
Fix and . Since and are of class on , their partial derivatives with respect to the th variable exist at , by clause 1 of C^k Maps on a Euclidean Open Set read through the scalar convention of its clause 3. Claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set, with , applied first to the scalar multiples and and then to their sum, shows that the partial derivative of with respect to the th variable exists at and that
By The Flat Torus: Standing Notation §periodic and Gradient of a Real-Valued Function on a Euclidean Open Set, the gradient of a function of class at is the point of whose th component is its th partial derivative at ; the th component of is , sums and scalar multiples of points of being formed componentwise (sum of points, scalar multiple). By (1) and claim 1 of Euclidean Points as Tuples of Real Numbers, ; as was arbitrary, .
For the Laplacian, (1) holds at every , so the function on is the pointwise combination . Since and are of class on , the functions and are of class on by clause 2 of C^k Maps on a Euclidean Open Set, so their partial derivatives with respect to the th variable exist at every point; claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set, applied to and exactly as above, gives, with the iterated partial derivatives of clause 4 of C^k Maps on a Euclidean Open Set,
Summing over and using The Laplacian of a Twice Continuously Differentiable Function §laplacian together with claims 2 and 3 of Properties of Finite Sums, for every , that is, .
Step 2: is a linear subspace. Let be the zero function. It is -periodic, trivially, and smooth on by claim 2 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set with the constant , so by Lattice-Periodic Functions and the Periodic Function Classes §classes. Since , Step 1 with and gives ; at each point every component of the right-hand side is , so is the origin for every (claim 1 of Euclidean Points as Tuples of Real Numbers), and the class of is . Thus . If and are real, choose with and (The Tangent Space of the Torus Wasserstein Space at a Probability Measure §gradients); by the Preliminaries and Step 1, is the class of with , so . Taking , and then , shows that is closed under sums and scalar multiples; so is a linear subspace of .
Step 3: is a closed linear subspace, and is dense in it. By The Tangent Space of the Torus Wasserstein Space at a Probability Measure §tangent, is the closure of in ; by claims 1 and 2 of The Closure is the Smallest Closed Superset, applied in the topological space of Real Hilbert Space §topology, it contains and is closed. It contains , which lies in by Step 2. Let and let be real. By the Preliminaries there are sequences and in converging to and to . By Step 2, for every , and by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §linear-limits (for the scalar multiples, and then for the sum) the sequence converges to , which therefore lies in . With and with this shows that is closed under sums and scalar multiples, so it is a linear subspace that is closed: a closed linear subspace of . This proves claim 2.
For later use, is dense in the metric space : every is the limit in of a sequence in , and that sequence also converges to in , since convergence involves only the distances , which are the same numbers in both spaces; by Sequential Characterization of the Closure in a Metric Space applied in , lies in the closure of in . That closure is a subset of , so it equals .
Step 4: claim 3. Let and be as in claim 3.
(a) A functional on . For choose with and put . This does not depend on the choice: if also with , then lies in and by Step 1, whose class is by the Preliminaries. Hence by Elementary Identities in a Real Inner Product Space §zero, and the hypotheses on give ; since , antisymmetry of the order gives , whence by claim 1 of Properties of the Absolute Value in an Ordered Field. If and lie in and are real, then with (Step 1 and the Preliminaries), so ; and . Consequently, as ,
so is Lipschitz with constant from to , hence uniformly continuous on by A Lipschitz Map is Uniformly Continuous.
(b) Extension to . By Steps 2 and 3, is nonempty and dense in the metric space , so Extension of a Uniformly Continuous Real Function from a Dense Subset §existence yields , continuous on , with for every . By Continuity Between Metric Spaces is Equivalent to Sequential Continuity §on-subset, applied with equal to the whole space , the sequence converges to whenever is a sequence in converging to ; by the argument of Step 3, a sequence in converging in converges in to the same limit. Let and real, and choose sequences , in converging to and . Then by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §linear-limits, so converges to ; but by (a), and this sequence converges to by claims 3 and 1 of Arithmetic of Limits of Real Sequences. By uniqueness of limits (Preliminaries), . Moreover for every by (a); the left side converges to by claim 4 of Order Properties of Limits of Real Sequences, and the right side converges to by The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity and claim 3 of Arithmetic of Limits of Real Sequences; claim 1 of Order Properties of Limits of Real Sequences gives for every . In particular , by linearity with .
(c) Existence by the Riesz representation. By Step 3, is a closed linear subspace of the real Hilbert space , so, as recorded in the preamble of Orthogonal Projection onto a Closed Linear Subspace of a Real Hilbert Space, Nearest-Point Projection onto a Nonempty Closed Convex Subset of a Real Hilbert Space §existence provides the orthogonal projection , with for every . By Orthogonal Projection onto a Closed Linear Subspace of a Real Hilbert Space §linear, is a linear map with for , and by Orthogonal Projection onto a Closed Linear Subspace of a Real Hilbert Space §pythagoras, . Define by . It is additive and homogeneous, as the composite of the linear maps and (the latter linear by (b)), and
by (b) and by claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative ; so is a bounded linear functional on . By The Riesz Representation Theorem for a Real Hilbert Space §existence there is with for every .
The point lies in . Indeed, let belong to the orthogonal complement . Since and , Orthogonal Projection onto a Closed Linear Subspace of a Real Hilbert Space §characterisation gives , so , hence by the symmetry of the inner product, condition (a) of Real Inner Product Space §inner-product. As was arbitrary, , which equals by Orthogonal Projection onto a Closed Linear Subspace of a Real Hilbert Space §complement.
For , the class lies in , so and
using symmetry of the inner product, the choice of , the definition of , (b) and (a). Moreover, by claim 3 of Properties of the Absolute Value in an Ordered Field and the bound of this step,
If , then exists and is positive by claim 7 of Elementary Order Arithmetic in an Ordered Field, and multiplying by it, by claim 5 of Elementary Arithmetic in an Ordered Field, gives ; otherwise , the norm being nonnegative. Thus has the two asserted properties.
(d) Uniqueness. Let also satisfy for every , and put , which lies in by Step 3. For every , written , one has by Elementary Identities in a Real Inner Product Space §bilinear. Choose a sequence in converging to (Preliminaries). By The Norm Metric of a Real Inner Product Space: Triangle Inequalities, Limits and Continuity §continuity, the sequence converges to ; but for every , and the constant sequence with every term converges to in the sense of Limit of a Sequence of Real Numbers, since for every positive and every index. By uniqueness of limits, ; since and are nonnegative with the same square, by claim 3 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, so by Elementary Identities in a Real Inner Product Space §vanishing, that is, . This proves claim 3.
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