Proof of The Gradient of a Function on Euclidean Space is One-Sided Lipschitz on Bounded Sets
lemmalem:c2-gradient-one-sided-lipschitz-euclidean-2026aAlong the segment from y to x the derivative of t -> DV(y+t(x-y)).(x-y) is the Hessian quadratic form, bounded below by -c|x-y|^2 on a closed ball containing B; the mean value theorem gives the claim.
Each result cited is universally quantified over the data in its own statement.
Throughout, carries the Euclidean distance , a metric by Euclidean Distance is a Metric on , with by claim 2 of Elementary Properties of the Euclidean Norm on ; by Second-Order Equations on Euclidean Open Sets Β§space, which imports it from Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation Β§numbers, boundedness of means boundedness in . By Second-Order Equations on Euclidean Open Sets Β§test-functions and Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation Β§derivatives, is the partial derivative, also written , is the iterated partial derivative of clause 4 of C^k Maps on a Euclidean Open Set, and is the gradient, the point of with coordinates .
Step 1 (a compact convex set containing ). By Bounded Subset of a Metric Space there are a point and a real number with for every . Let be the closed ball . Then , and is nonempty because by the axioms of a metric. By claim 1 of A Closed Euclidean Ball is Convex and Compact the set is convex, and by claim 2 there it is compact in with the metric topology of .
Step 2 (a uniform bound on the second partial derivatives over ). Fix . Since is of class on the open set (open by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous), clause 2 of C^k Maps on a Euclidean Open Set, read through the scalar convention of clause 3 there, shows that is of class on ; by clause 1 there, applied to , the partial derivative of with respect to the th variable exists at every point, and the resulting function, which is by clause 4 there, is continuous in the Euclidean sense at every point of . By claim 1 of Euclidean Continuity Agrees with Metric Continuity for Real-Valued Functions (with ), is continuous at every point relative to as a map into with the metric of The Absolute Value Metric on the Real Line. Hence the restriction of to has the continuity property required in Extreme Value Theorem on a Compact Subset of a Metric Space: given and , the supplied at by continuity relative to works for all points of within distance of . As is nonempty and compact by Step 1, Extreme Value Theorem on a Compact Subset of a Metric Space gives with for all . Put
which is nonnegative by claim 1 of Properties of the Absolute Value in an Ordered Field and claim 2 of Elementary Arithmetic in an Ordered Field. For , claim 3 of Properties of the Absolute Value in an Ordered Field and the nonnegativity of the absolute values give and, using sign reversal (claim 4 of Elementary Order Arithmetic in an Ordered Field), ; so by claim 6 of Properties of the Absolute Value in an Ordered Field. Now let
Since all are nonnegative, is nonnegative and , a finite sum of the remaining nonnegative terms, is nonnegative (claim 2 of Elementary Arithmetic in an Ordered Field), so by claim 3 there. Consequently
Step 3 (two first-order Taylor estimates). Let ; then by Step 1. Apply claim (ii) of Multivariate Taylor Expansion with Uniform Second-Order Remainder with (open by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous), (of class , hence of class by claim 2 of Euclidean Space is Open in Itself, and Maps are Continuous), , and with the lemma's pair of points taken to be , so that the lemma's increment is , whose th coordinate is by clause 1 of Difference, Dot Product, and Orthogonality in . The segment consists of the points with ; it lies in , and each such point equals (coordinatewise real arithmetic, the operations being those of the vector space ), which lies in by the convexity of (Step 1, Convex Subset of with ). So the bound of Step 2 holds on the segment. The lemma's is by symmetry of the metric (Euclidean Distance is a Metric on ) and claim 2 of Elementary Properties of the Euclidean Norm on . Writing , we obtain
Applying the same claim with the pair instead (increment with coordinates ; segment points by convexity; ), we obtain
Step 4 (adding the estimates). In the terms and cancel, and since , field arithmetic (distributivity and rearrangement of finite sums) gives
By the description of the gradient recalled at the start and clause 1 of Difference, Dot Product, and Orthogonality in , the th coordinate of is and that of is , so clause 2 there identifies the right-hand side with the dot product:
By the triangle inequality (claim 5 of Properties of the Absolute Value in an Ordered Field) and the two estimates of Step 3, added using claims 2 and 3 of Elementary Arithmetic in an Ordered Field (from and follows , so weak inequalities add), and for real (with , which exists by claim 8 of Elementary Order Arithmetic in an Ordered Field),
Set . It is nonnegative: as and (claim 1 of Elementary Arithmetic in an Ordered Field), and , so claim 5 there gives . Finally, claim 3 of Properties of the Absolute Value in an Ordered Field gives , and sign reversal (claim 4 of Elementary Order Arithmetic in an Ordered Field) applied to gives . Hence
Since depends only on and (through and ) and not on , and were arbitrary, this proves the lemma.
Loadingβ¦
Prerequisites
50b637b3-f163-4a07-91ae-1abca5606864