Proof of The Quartic Bump: Making a Local Maximum Strict without Changing the Test Data
lemmalem:quartic-bump-strict-maximum-2026aThe squared distance is a quadratic composed with a translation, hence with gradient ; the quartic is its square, so the product rule for partial derivatives makes every first and second partial derivative vanish at , where the squared distance and its gradient both vanish. Strictness of the maximum is then immediate from the positivity of the bump away from .
Conventions. The order and the arithmetic of are those of the ordered field of real numbers; among its axioms is the compatibility of with addition, which is what we use for non-strict inequalities, claim 1 of Elementary Order Arithmetic in an Ordered Field being its strict counterpart. Multiplication by a nonnegative real number preserves : if and then either , and the products are equal, or , and then claim 10 of Elementary Order Arithmetic in an Ordered Field applies when , while makes both products by claim 1 of Zero Products and Elementary Identities in a Field. Partial derivatives are those of that definition, the gradient is as in that definition and the Hessian as in that definition, so that the th coordinate of is and the entry of in row and column is . Being of class on an open set means, by clauses 2 and 3 there, being of class with every first partial derivative of class .
Step 1: the squared norm as a quadratic. By Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §symmetric the matrix lies in , so Quadratic and Affine Functions of Class , Translation, and Quadratic Perturbation of Semiconvexity §quadratic applies to the function given by
is of class on , its restriction to any open subset of is of class there, and at every the gradient is and the Hessian is .
Moreover for every . Indeed by claims 1 and 2 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum; then by claim 5 of Bilinearity and Symmetry of the Dot Product on and by claim 1 of Elementary Properties of the Euclidean Norm on , so the first summand is ; and by the coordinate formula for the dot product, every summand there being a product with , which vanishes by claim 1 of Zero Products and Elementary Identities in a Field. Consequently and for every .
Step 2: the squared distance to . Applying Quadratic and Affine Functions of Class , Translation, and Quadratic Perturbation of Semiconvexity §translation to the open set with shows that is open. By Step 1 the restriction is of class on , with gradient and Hessian at each . Applying Quadratic and Affine Functions of Class , Translation, and Quadratic Perturbation of Semiconvexity §translation again, now to the open set , the function and , and noting that
we conclude that the function given by is of class on , with
In particular , so by claim 3 of Elementary Properties of the Euclidean Norm on , and , every coordinate of the scalar multiple being a product with and so vanishing by claim 1 of Zero Products and Elementary Identities in a Field; whence for every , the coordinates of the gradient being the first partial derivatives.
Step 3: proof of claim 1. For we have , so is the pointwise product of with itself and is of class on by claim 3 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set.
By claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set, for every and every ,
Since is of class on , each is of class on , so claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set may be applied once more to each of the two products on the right: for all and every ,
Evaluating at and using and from Step 2, together with claim 1 of Zero Products and Elementary Identities in a Field, every summand in both displays vanishes. Hence for every , so , and for all , so every entry of is , that is, . This proves claim 1.
Step 4: proof of claim 2. Let . By claim 1 of Elementary Properties of the Euclidean Norm on the number is nonnegative, hence so is by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, which applied with and gives , and by claim 1 of Zero Products and Elementary Identities in a Field; multiplying the inequality by the nonnegative number and using claim 1 of Zero Products and Elementary Identities in a Field gives .
If , that is , then by claim 3 of Zero Products and Elementary Identities in a Field, and then by that same claim, so by claim 3 of Elementary Properties of the Euclidean Norm on and hence . Conversely by that same claim 3 and claim 1 of Zero Products and Elementary Identities in a Field. This proves claim 2.
Step 5: proof of claim 3. The function is the pointwise sum of two functions of class on , hence is of class on by claim 3 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set. By claim 1 there, for every , using the theorem's claim 1, proved in Step 3; and applying claim 1 of Constants, Coordinate Functions, Sums and Products of Functions on a Euclidean Open Set to the sum gives for all . Since the coordinates of a gradient are the first partial derivatives and the entries of a Hessian the second, and .
By the definition of a local maximum there is a positive such that every with satisfies
Let satisfy and . By claim 2 we have and , so and hence by claim 4 of Elementary Order Arithmetic in an Ordered Field. Adding to both sides of the displayed inequality, which the compatibility of with addition permits, gives
while adding to gives, by claim 1 of Elementary Order Arithmetic in an Ordered Field,
the last equality because by claim 2. Claim 2 of Elementary Order Arithmetic in an Ordered Field combines the two comparisons into . The same therefore witnesses, by the definition of a strict local maximum, that has a strict local maximum at relative to . This proves claim 3.
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Prerequisites
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