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Proof of The Quartic Bump: Making a Local Maximum Strict without Changing the Test Data

lemmalem:quartic-bump-strict-maximum-2026a
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· 8,216 chars · 17 deps · depth 18 Reason: First publication of the proof of lem:quartic-bump-strict-maximum-2026a: the quartic is a product of $C^2$ functions, its first and second partials vanish at $z$ by direct computation, and positivity off $z$ gives strictness of the perturbed maximum.

The squared distance is a quadratic composed with a translation, hence C2C^{2} with gradient 2(xz)2(x-z); the quartic is its square, so the product rule for partial derivatives makes every first and second partial derivative vanish at zz, where the squared distance and its gradient both vanish. Strictness of the maximum is then immediate from the positivity of the bump away from zz.

Proof

Conventions. The order \le and the arithmetic of R\mathbb{R} are those of the ordered field of real numbers; among its axioms is the compatibility of \le 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 \le: if aba\le b and 0λ0\le\lambda then either a=ba=b, and the products are equal, or a<ba<b, and then claim 10 of Elementary Order Arithmetic in an Ordered Field applies when 0<λ0<\lambda, while λ=0\lambda=0 makes both products 00 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 iith coordinate of Df(x)D f(x) is if(x)\partial_{i}f(x) and the entry of D2f(x)D^{2}f(x) in row ii and column jj is ijf(x)\partial_{i}\partial_{j}f(x). Being of class C2C^{2} on an open set means, by clauses 2 and 3 there, being of class C1C^{1} with every first partial derivative of class C1C^{1}.

Step 1: the squared norm as a quadratic. By Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation §symmetric the matrix 2In2I_{n} lies in S(n)\mathcal{S}(n), so Quadratic and Affine Functions of Class C2C^2, Translation, and Quadratic Perturbation of Semiconvexity §quadratic applies to the function Q:RnRQ:\mathbb{R}^{n}\to\mathbb{R} given by

Q(w)=12w((2In)w)+0Rnw+0:Q(w)=\tfrac{1}{2}\,w\cdot\bigl((2I_{n})w\bigr)+0_{\mathbb{R}^{n}}\cdot w+0 :

QQ is of class C2C^{2} on Rn\mathbb{R}^{n}, its restriction to any open subset of Rn\mathbb{R}^{n} is of class C2C^{2} there, and at every ww the gradient is (2In)w(2I_{n})w and the Hessian is 2In2I_{n}.

Moreover Q(w)=w2Q(w)=\lVert w\rVert^{2} for every wRnw\in\mathbb{R}^{n}. Indeed (2In)w=2(Inw)=2w(2I_{n})w=2(I_{n}w)=2w by claims 1 and 2 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum; then w(2w)=2(ww)w\cdot(2w)=2(w\cdot w) by claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n and ww=w2w\cdot w=\lVert w\rVert^{2} by claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, so the first summand is 12(2w2)=w2\tfrac{1}{2}\bigl(2\lVert w\rVert^{2}\bigr)=\lVert w\rVert^{2}; and 0Rnw=00_{\mathbb{R}^{n}}\cdot w=0 by the coordinate formula for the dot product, every summand there being a product with 00, which vanishes by claim 1 of Zero Products and Elementary Identities in a Field. Consequently DQ(w)=2wDQ(w)=2w and D2Q(w)=2InD^{2}Q(w)=2I_{n} for every ww.

Step 2: the squared distance to zz. Applying Quadratic and Affine Functions of Class C2C^2, Translation, and Quadratic Perturbation of Semiconvexity §translation to the open set VV with b=zb=z shows that Vz={wRn:w+zV}V-z=\{w\in\mathbb{R}^{n}:w+z\in V\} is open. By Step 1 the restriction QVzQ|_{V-z} is of class C2C^{2} on VzV-z, with gradient 2w2w and Hessian 2In2I_{n} at each wVzw\in V-z. Applying Quadratic and Affine Functions of Class C2C^2, Translation, and Quadratic Perturbation of Semiconvexity §translation again, now to the open set VzV-z, the function QVzQ|_{V-z} and b=zb=-z, and noting that

(Vz)(z)={yRn:yzVz}={yRn:(yz)+zV}=V,(V-z)-(-z)=\{y\in\mathbb{R}^{n}:y-z\in V-z\}=\{y\in\mathbb{R}^{n}:(y-z)+z\in V\}=V,

we conclude that the function g:VRg:V\to\mathbb{R} given by g(y)=Q(yz)=yz2g(y)=Q(y-z)=\lVert y-z\rVert^{2} is of class C2C^{2} on VV, with

Dg(y)=2(yz),D2g(y)=2In(yV).Dg(y)=2(y-z),\qquad D^{2}g(y)=2I_{n}\qquad(y\in V).

In particular zz=0Rnz-z=0_{\mathbb{R}^{n}}, so g(z)=0Rn2=0g(z)=\lVert 0_{\mathbb{R}^{n}}\rVert^{2}=0 by claim 3 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n, and Dg(z)=20Rn=0RnDg(z)=2\cdot0_{\mathbb{R}^{n}}=0_{\mathbb{R}^{n}}, every coordinate of the scalar multiple being a product with 00 and so vanishing by claim 1 of Zero Products and Elementary Identities in a Field; whence ig(z)=0\partial_{i}g(z)=0 for every i{1,,n}i\in\{1,\dots,n\}, the coordinates of the gradient being the first partial derivatives.

Step 3: proof of claim 1. For xVx\in V we have β(x)=g(x)g(x)\beta(x)=g(x)\,g(x), so β\beta is the pointwise product of gg with itself and is of class C2C^{2} on VV by claim 3 of Constants, Coordinate Functions, Sums and Products of CkC^k Functions on a Euclidean Open Set.

By claim 1 of Constants, Coordinate Functions, Sums and Products of CkC^k Functions on a Euclidean Open Set, for every j{1,,n}j\in\{1,\dots,n\} and every xVx\in V,

jβ(x)=jg(x)g(x)+g(x)jg(x).\partial_{j}\beta(x)=\partial_{j}g(x)\,g(x)+g(x)\,\partial_{j}g(x).

Since gg is of class C2C^{2} on VV, each jg\partial_{j}g is of class C1C^{1} on VV, so claim 1 of Constants, Coordinate Functions, Sums and Products of CkC^k Functions on a Euclidean Open Set may be applied once more to each of the two products on the right: for all i,j{1,,n}i,j\in\{1,\dots,n\} and every xVx\in V,

ijβ(x)=ijg(x)g(x)+jg(x)ig(x)+ig(x)jg(x)+g(x)ijg(x).\partial_{i}\partial_{j}\beta(x)=\partial_{i}\partial_{j}g(x)\,g(x)+\partial_{j}g(x)\,\partial_{i}g(x)+\partial_{i}g(x)\,\partial_{j}g(x)+g(x)\,\partial_{i}\partial_{j}g(x).

Evaluating at x=zx=z and using g(z)=0g(z)=0 and ig(z)=jg(z)=0\partial_{i}g(z)=\partial_{j}g(z)=0 from Step 2, together with claim 1 of Zero Products and Elementary Identities in a Field, every summand in both displays vanishes. Hence jβ(z)=0\partial_{j}\beta(z)=0 for every jj, so Dβ(z)=0RnD\beta(z)=0_{\mathbb{R}^{n}}, and ijβ(z)=0\partial_{i}\partial_{j}\beta(z)=0 for all i,ji,j, so every entry of D2β(z)D^{2}\beta(z) is 00, that is, D2β(z)=0nD^{2}\beta(z)=0_{n}. This proves claim 1.

Step 4: proof of claim 2. Let xVx\in V. By claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n the number xz\lVert x-z\rVert is nonnegative, hence so is xz2\lVert x-z\rVert^{2} by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, which applied with 00 and xz\lVert x-z\rVert gives 00xz20\cdot0\le\lVert x-z\rVert^{2}, and 00=00\cdot0=0 by claim 1 of Zero Products and Elementary Identities in a Field; multiplying the inequality 0xz20\le\lVert x-z\rVert^{2} by the nonnegative number xz2\lVert x-z\rVert^{2} and using claim 1 of Zero Products and Elementary Identities in a Field gives 0β(x)0\le\beta(x).

If β(x)=0\beta(x)=0, that is xz2xz2=0\lVert x-z\rVert^{2}\lVert x-z\rVert^{2}=0, then xz2=0\lVert x-z\rVert^{2}=0 by claim 3 of Zero Products and Elementary Identities in a Field, and then xz=0\lVert x-z\rVert=0 by that same claim, so xz=0Rnx-z=0_{\mathbb{R}^{n}} by claim 3 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and hence x=zx=z. Conversely β(z)=0Rn20Rn2=0\beta(z)=\lVert 0_{\mathbb{R}^{n}}\rVert^{2}\lVert 0_{\mathbb{R}^{n}}\rVert^{2}=0 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 ψ=φ+β\psi=\varphi+\beta is the pointwise sum of two functions of class C2C^{2} on VV, hence is of class C2C^{2} on VV by claim 3 of Constants, Coordinate Functions, Sums and Products of CkC^k Functions on a Euclidean Open Set. By claim 1 there, jψ(z)=jφ(z)+jβ(z)=jφ(z)\partial_{j}\psi(z)=\partial_{j}\varphi(z)+\partial_{j}\beta(z)=\partial_{j}\varphi(z) for every jj, using the theorem's claim 1, proved in Step 3; and applying claim 1 of Constants, Coordinate Functions, Sums and Products of CkC^k Functions on a Euclidean Open Set to the sum jψ=jφ+jβ\partial_{j}\psi=\partial_{j}\varphi+\partial_{j}\beta gives ijψ(z)=ijφ(z)+ijβ(z)=ijφ(z)\partial_{i}\partial_{j}\psi(z)=\partial_{i}\partial_{j}\varphi(z)+\partial_{i}\partial_{j}\beta(z)=\partial_{i}\partial_{j}\varphi(z) for all i,ji,j. Since the coordinates of a gradient are the first partial derivatives and the entries of a Hessian the second, Dψ(z)=Dφ(z)D\psi(z)=D\varphi(z) and D2ψ(z)=D2φ(z)D^{2}\psi(z)=D^{2}\varphi(z).

By the definition of a local maximum there is a positive δR\delta\in\mathbb{R} such that every xSx\in S with dE(z,x)<δd_{E}(z,x)<\delta satisfies

h(x)φ(x)h(z)φ(z).h(x)-\varphi(x)\le h(z)-\varphi(z).

Let xSx\in S satisfy dE(z,x)<δd_{E}(z,x)<\delta and xzx\ne z. By claim 2 we have 0β(x)0\le\beta(x) and β(x)0\beta(x)\ne0, so 0<β(x)0<\beta(x) and hence β(x)<0-\beta(x)<0 by claim 4 of Elementary Order Arithmetic in an Ordered Field. Adding β(x)-\beta(x) to both sides of the displayed inequality, which the compatibility of \le with addition permits, gives

h(x)ψ(x)=(h(x)φ(x))β(x)(h(z)φ(z))β(x),h(x)-\psi(x)=\bigl(h(x)-\varphi(x)\bigr)-\beta(x)\le\bigl(h(z)-\varphi(z)\bigr)-\beta(x),

while adding h(z)φ(z)h(z)-\varphi(z) to β(x)<0-\beta(x)<0 gives, by claim 1 of Elementary Order Arithmetic in an Ordered Field,

(h(z)φ(z))β(x)<h(z)φ(z)=h(z)ψ(z),\bigl(h(z)-\varphi(z)\bigr)-\beta(x)<h(z)-\varphi(z)=h(z)-\psi(z),

the last equality because β(z)=0\beta(z)=0 by claim 2. Claim 2 of Elementary Order Arithmetic in an Ordered Field combines the two comparisons into h(x)ψ(x)<h(z)ψ(z)h(x)-\psi(x)<h(z)-\psi(z). The same δ\delta therefore witnesses, by the definition of a strict local maximum, that xh(x)ψ(x)x\mapsto h(x)-\psi(x) has a strict local maximum at zz relative to SS. This proves claim 3.

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