A D V E R T |
I S E M E N T |
| Math Sites: lean ages 13-∞ readme referees parents | >>> MAITH GAMES <<< | all 372 compute stand |
|
LEVEL 1 OF 2 · The sharp dimension threshold for affine Bernstein rigidity
A Smooth Nonquadratic Entire Affine Maximal Graph in Dimension Ten
expertly designed by an internal OpenAI model · released 2026-10-05
· original PDF
IntroductionFor a smooth function \(u:\mathbb R^n\to\mathbb R\) with positive definite Hessian, write \[ \sum_{i,j=1}^n U^{ij}w_{ij}=0,\qquad U^{ij}=\det(D^2u)(D^2u)^{-1}_{ij},\qquad w=(\det D^2u)^{-(n+1)/(n+2)}. \tag{1}\] This is the classical affine maximal equation, the Euler–Lagrange equation of the affine area functional \(\int (\det D^2u)^{1/(n+2)}\) under compactly supported variations; see (Trudinger and Wang 2000). The entire-graph form of the affine Bernstein problem asks whether every such solution must be a quadratic polynomial. Throughout this paper, positivity of the Hessian means pointwise positive definiteness, not a global lower bound by a fixed positive matrix. Theorem 1. There exists a nonquadratic function \(u\in C^\infty(\mathbb R^{10})\) with \(D^2u\) positive definite at every point such that \[\sum_{i,j=1}^{10}U^{ij}\partial_{ij} (\det D^2u)^{-11/12}=0 \quad\hbox{on }\mathbb R^{10}, \qquad U=\det(D^2u)(D^2u)^{-1}.\] Thus the smooth entire-graph assertion has a negative answer in dimension ten. No growth assumption or completeness assumption for the Berwald–Blaschke metric is imposed here. The classical problem has several formulations involving different notions of completeness. Chern formulated the two-dimensional entire-graph problem (Chern 1979). Calabi proved rigidity in dimension two assuming both Euclidean completeness and completeness of the affine metric (Calabi 1982). Trudinger and Wang later proved that affine completeness implies Euclidean completeness for locally uniformly convex hypersurfaces of dimension at least two (Trudinger and Wang 2002). For the entire-graph problem, Trudinger and Wang proved that smooth locally uniformly convex entire affine maximal graphs over \(\mathbb R^2\) are elliptic paraboloids (Trudinger and Wang 2000). In the same paper, they exhibited the singular dimension-ten example \[ u_0(x,t)=\sqrt{|x|^9+t^2},\qquad (x,t)\in\mathbb R^9\times\mathbb R, \tag{2}\] see (Trudinger and Wang 2000, sec. 7). This example is not smooth at the origin and does not have positive definite Hessian everywhere. Theorem 1 supplies a smooth example satisfying precisely these stronger pointwise requirements. The global section-based uniform convexity hypothesis in (Trudinger and Wang 2000, Corollary 4.3) is stronger than the Hessian positivity assumed here. Related equations with \(w=(\det D^2u)^{-\theta}\) admit nonquadratic Euclidean-complete examples for other ranges of \(\theta\) (Du 2024; Sun et al. 2026). The latter range extends to \(\theta=n/(n+1)\), but does not include the classical value \(\theta=11/12\) when \(n=10\). Our construction keeps the relation \(u^2-t^2=F(x)^2\) suggested by (2), but replaces \(F(x)=|x|^{9/2}\) by a smooth strictly convex radial function with \(F(0)=1\). Section 2 gives a dimension-independent reduction of this ansatz to two second-order equations for positive functions \(F\) and \(P\). Section 3 constructs their radial solution smoothly through the origin. The main obstacle is then global existence: a priori the auxiliary function \(P\) could vanish at a finite radius. Section 4 rules this out using a bounded invariant region for logarithmic derivatives, and completes the proof. The decisive change of derivative variables makes each component of the resulting vector field nondecreasing in the other two variables on a suitable box. A single stationary corner then controls all of its upper faces. Reduction to a radial systemWe first isolate the calculation that turns the fourth-order equation into a system for two functions of one fewer variable. For this section let \(m\geq1\), so that the graph has \(m+1\) independent variables \((x,t)\in\mathbb R^m\times\mathbb R\). Set \[k=m+2,\qquad \gamma=\frac{m+3}{m+2}.\] We introduce \(P\) so that, for the ansatz below, the determinant power \(w\) separates into \(P(x)\) times a fixed function of \(t/F(x)\). Proposition 2. Let \(F,P\) be positive smooth functions on an open set \(\Omega\subset\mathbb R^m\), and suppose \(H=D_x^2F\) is positive definite. If \[ \det H=FP^{-\gamma},\qquad \mathop{\mathrm{tr}}(H^{-1}D_x^2P)+kP/F=0, \tag{3}\] then \[u(x,t)=\sqrt{F(x)^2+t^2}\] has positive definite Hessian on \(\Omega\times\mathbb R\) and satisfies (1) in dimension \(n=m+1\). Proof. Direct differentiation, interpreted as an identity of quadratic forms, gives \[ D^2u=\frac Fu H+\frac{F^2}{u^3} \left(dt-\frac tF\,dF\right)^2. \tag{4}\] The first term is positive on the \(x\) directions, and the second is positive on the remaining direction. Thus \(D^2u>0\). Put \(\zeta=t/F\) and use the pointwise basis \[X_i=e_i+\zeta F_i e_t\quad(1\leq i\leq m),\qquad e_t.\] Its change-of-basis matrix has determinant one. In this basis, (4) has diagonal blocks \((F/u)H\) and \(F^2/u^3\), so \[ \det D^2u=F^{m+2}u^{-(m+3)}\det H. \tag{5}\] The first equation in (3) is equivalent to \(P=(F/\det H)^{(m+2)/(m+3)}\). Therefore \[ w=(\det D^2u)^{-(m+2)/(m+3)}=P h(\zeta), \qquad h(\zeta)=(1+\zeta^2)^{k/2}. \tag{6}\] We evaluate the ordinary Hessian of \(w\) in the same pointwise basis. Since \(d\zeta(X_i)=0\), twice differentiating \(t=F\zeta\) gives \[D^2\zeta(X_i,X_j)=-\frac\zeta F F_{ij}.\] Consequently \[D^2w(X_i,X_j)=hP_{ij}-\frac PF\zeta h'F_{ij}, \qquad w_{tt}=\frac P{F^2}h''.\] Taking the trace against the inverse blocks of \(D^2u\) yields \[ \frac Fu\mathop{\mathrm{tr}}\bigl((D^2u)^{-1}D^2w\bigr) =h\mathop{\mathrm{tr}}(H^{-1}D_x^2P) +\frac PF\bigl((1+\zeta^2)h''-m\zeta h'\bigr). \tag{7}\] Differentiation of \(h\) gives \[(1+\zeta^2)h''-m\zeta h' =k(1+\zeta^2)^{k/2-1} \bigl(1+(k-1-m)\zeta^2\bigr)=kh,\] because \(k=m+2\). The second equation in (3) makes (7) zero. Multiplication by the positive determinant in (5) gives (1). ◻ We now take \(F\) and \(P\) radial, and use the same letters for their profiles in \(r=|x|\). Write primes for radial derivatives and \(y=F'\). For \(r>0\) the eigenvalues of \(D_x^2F\) are \(y'\) in the radial direction and \(y/r\) in the \(m-1\) tangential directions. Thus, whenever \(y,y'>0\), \[\det D_x^2F=y'\left(\frac yr\right)^{m-1},\qquad \mathop{\mathrm{tr}}\bigl((D_x^2F)^{-1}D_x^2P\bigr) =\frac{P''}{y'}+(m-1)\frac{P'}y.\] Substituting into (3), and multiplying the second equation by \(y'y^{m-1}\), gives the equivalent system \[ y^{m-1}y'=r^{m-1}FP^{-\gamma},\qquad (y^{m-1}P')'=-k r^{m-1}P^{1-\gamma},\qquad F'=y. \tag{8}\] The divergence form of the second equation will allow us to start the solution at the singular point \(r=0\). A smooth radial solution at the originFrom now on fix \[ m=9,\qquad k=11,\qquad \gamma=12/11. \tag{9}\] We construct a local solution with \(F(0)=P(0)=1\). The radial equations contain divisions by \(y=F'\), which vanishes at the origin. An integral formulation in \(s=r^2/2\) avoids this singularity and makes smoothness in \(x\) explicit. Lemma 3. There is \(\varepsilon>0\) and a solution \(F,P\) of (8) on \(0<r<\varepsilon\) such that \(F(|x|)\) and \(P(|x|)\) extend smoothly to \(|x|<\varepsilon\), with \[F(0)=P(0)=1,\qquad D_x^2F(0)=I,\qquad D_x^2P(0)=-\frac{11}{9}I.\] Moreover \(F,P,y,y'>0\) and \(P'<0\) for \(0<r<\varepsilon\). Proof. Seek \(F(r)=f(s)\) and \(P(r)=p(s)\), where \(s=r^2/2\). The integrated equations suggest the normalized derivative \(q=y/r\) and flux \(j=-y^{m-1}P'/(kr^m)\) for \(r>0\). We will construct their regular extensions as functions of \(s\) using the following averages. For continuous \(f,p\) on \([-\delta,\delta]\) taking values in \([1/2,3/2]\), define \[\begin{align*} q(s)&=\left(m\int_0^1 v^{m-1} f(v^2s)p(v^2s)^{-\gamma}\,dv\right)^{1/m}, \tag{10}\\ j(s)&=\int_0^1 v^{m-1}p(v^2s)^{1-\gamma}\,dv. \tag{11}\end{align*}\] On the closed subset \[\mathcal K=\{(f,p)\in C([-\delta,\delta])^2: \|f-1\|_\infty,\|p-1\|_\infty\leq1/2\},\] consider \[ \mathcal T(f,p)(s)= \left(1+\int_0^s q(a)\,da, \ 1-k\int_0^s j(a)q(a)^{1-m}\,da\right). \tag{12}\] The functions \(q,j\) have uniform positive upper and lower bounds. The maps \((f,p)\mapsto q\) and \((f,p)\mapsto jq^{1-m}\) are Lipschitz in the product supremum norm, with constants independent of \(\delta\): all scalar powers are evaluated on fixed positive compact intervals. Hence there are constants \(M,L\) independent of \(\delta\) such that \[\|\mathcal T(f,p)-(1,1)\|_\infty\leq M\delta, \qquad \|\mathcal T(f,p)-\mathcal T(\widetilde f,\widetilde p)\|_\infty \leq L\delta\|(f,p)-(\widetilde f,\widetilde p)\|_\infty.\] Choose \(M\delta\leq1/2\) and \(L\delta<1\). The contraction mapping theorem gives a fixed point in \(\mathcal K\). The fixed point is smooth on \((-\delta,\delta)\). Indeed, continuity of \(q,j\) first gives \(f,p\in C^1\). If \(f,p\) are \(C^\ell\), differentiation under the integrals in (10)–(11) shows that \(q,j\) are \(C^\ell\), and (12) gives one further derivative. This proves the assertion by induction. The definition on both sides of \(s=0\) ensures that \(f(|x|^2/2)\) and \(p(|x|^2/2)\) are smooth in \(x\) at the origin. For \(r>0\), the fixed point equations give \(y=rq(r^2/2)>0\). Changing variables \(\rho=rv\) in (10)–(11) then yields \[ y^m=m\int_0^r \rho^{m-1}F(\rho)P(\rho)^{-\gamma}\,d\rho, \qquad y^{m-1}P'=-k\int_0^r\rho^{m-1}P(\rho)^{1-\gamma}\,d\rho. \tag{13}\] Differentiation proves (8); the first equation implies \(y'>0\), and the second integral gives \(P'<0\). Finally \(q(0)=1\) and \(j(0)=1/m\), so \[f_s(0)=1,\qquad p_s(0)=-k/m=-11/9.\] These are exactly the claimed Hessians of the radial extensions. Shrinking \(\varepsilon\) if necessary completes the proof. ◻ An invariant box and global continuationThe local solution now has every required property. It remains to show that it can be continued to arbitrarily large radii without losing positivity. We do this by controlling logarithmic derivatives, rather than by estimating \(F\) and \(P\) separately. Take the maximal outward continuation of the local solution on which \(F,P,y>0\). This is a regular smooth ODE for \(r>0\). Explicitly, with \(Z=P'\) and \[G(r,F,P,y)=\frac{r^8FP^{-12/11}}{y^8},\] it reads \[ F'=y,\qquad P'=Z,\qquad y'=G,\qquad Z'=-8\frac Gy Z-\frac{11r^8P^{-1/11}}{y^8}. \tag{14}\] In particular \(y'>0\) throughout this continuation. Define \[ A=\frac{ry}{F},\qquad B=\frac{ry'}y, \qquad C=-\frac{rP'}P, \tag{15}\] and let a dot mean differentiation with respect to \(\log r\). Since \(B>0\), we may also set \(D=C/B\). This normalization gives a vector field with nonnegative cross derivatives on the box in Lemma 5, allowing its upper faces to be controlled by one corner. Lemma 4. On the interval of continuation, \(A,B>0\), and the functions \(A,B,D\) satisfy \[ \begin{aligned} \dot A&=A(1+B-A),\\ \dot B&=B\bigl(9+A+(12/11)BD-9B\bigr),\\ \dot D&=(11-D)A-8D+BD(1-D/11). \end{aligned} \tag{16}\] Moreover \((A,B,D)\to(0,1,0)\) as \(r\downarrow0\), and all three coordinates are positive for sufficiently small \(r>0\). Proof. Positivity of \(F,y,y'\) gives \(A,B>0\). Using (8), one may write \[B=\frac{r^mFP^{-\gamma}}{y^m}.\] Logarithmic differentiation of \(A\) and \(B\), followed by the second equation in (8), gives \[\begin{align*} \dot A&=A(1+B-A),\\ \dot B&=B(m+A+\gamma C-mB),\\ \dot C&=C(1+C-(m-1)B)+kAB. \end{align*}\] For the last identity, use \(\dot C=C+C^2-r^2P''/P\) and \(AB=r^{m+1}P^{-\gamma}/y^{m-1}\). Thus \[\dot D=(k-D)A-(m-1)D+BD\bigl(1+(1-\gamma)D\bigr).\] Substituting (9) proves (16). Lemma 3 gives \(F=1+O(r^2)\), \(y=r+O(r^3)\), \(y'=1+O(r^2)\), and \(P'=-(11/9)r+O(r^3)\). Hence \(A\to0\), \(B\to1\), and \(D\to0\). The positivity of \(A,B\) and the local inequality \(P'<0\) also give \(D>0\) for small positive \(r\). ◻ The singular profile (2) suggests the bounds for these variables. Its radial factor \(F=r^{9/2}\) has \(A=9/2\) and \(B=7/2\); the associated function \(P=(F/\det D_x^2F)^{11/12}\) is a positive constant times \(r^{-33/2}\), giving \(C=33/2\) and \(D=33/7\). These constants determine an invariant box for the smooth solution. Lemma 5. The box \[ \mathcal B=[0,9/2]\times[0,7/2]\times[0,33/7] \tag{17}\] is forward invariant for (16). The solution arising from Lemma 3 lies in \(\mathcal B\) throughout its interval of continuation. Proof. Write \(V=(V_1,V_2,V_3)\) for the vector field in (16). The upper corner \(a_*=(9/2,7/2,33/7)\) satisfies \(V(a_*)=0\) by direct substitution. Each \(V_i\) is nondecreasing in the other two coordinates on \(\mathcal B\). The nonzero cross derivatives are \[\partial_BV_1=A,\quad \partial_AV_2=B,\quad \partial_DV_2=(12/11)B^2,\quad \partial_AV_3=11-D,\quad \partial_BV_3=D(1-D/11),\] all nonnegative because \(0\leq D\leq33/7<11\). On each upper face, comparison with \(a_*\) therefore gives the corresponding \(V_i\leq0\). On the lower faces \(A=0\), \(B=0\), and \(D=0\), the respective components are \(0\), \(0\), and \(11A\), hence nonnegative. These weak boundary inequalities suffice for invariance. Let \(\Pi z\) be the coordinatewise projection of \(z\in\mathbb R^3\) onto \(\mathcal B\). The face inequalities imply \[(z-\Pi z)\cdot V(\Pi z)\leq0.\] On any bounded neighborhood of the box, \(V\) has a Lipschitz constant \(L\). Along a trajectory \(z\) in that neighborhood, the squared distance \(d^2=|z-\Pi z|^2\) consequently satisfies \[\frac{d}{d\log r}d^2 =2(z-\Pi z)\cdot V(z)\leq2L d^2.\] The squared distance to a closed box is continuously differentiable, so this identity also holds when the nearest face changes. Gronwall’s inequality shows that a trajectory starting in the box cannot leave it. Finally, Lemma 4 gives strictly positive coordinates tending to \((0,1,0)\) as \(r\downarrow0\). They therefore lie below all three upper bounds for sufficiently small \(r>0\). Forward invariance proves the last assertion. ◻ Proposition 6. The solution in Lemma 3 extends to every \(r>0\), with \(F,P,y,y'>0\). Its radial extensions to \(\mathbb R^9\) are smooth, and \(D_x^2F\) is positive definite everywhere. Proof. Suppose its maximal outer endpoint were \(R<\infty\), and fix \(r_0\in(0,R)\). Lemma 5 gives \[0\leq A\leq9/2,\qquad 0\leq B\leq7/2, \qquad 0\leq C=BD\leq33/2.\] Since the derivatives of \(\log F,\log y,\log P\) with respect to \(\log r\) are \(A,B,-C\), respectively, integration gives, for \(r_0\leq r<R\), \[\begin{align*} F(r_0)&\leq F(r)\leq F(r_0)(R/r_0)^{9/2},\\ y(r_0)&\leq y(r)\leq y(r_0)(R/r_0)^{7/2},\\ P(r_0)(r_0/R)^{33/2}&\leq P(r)\leq P(r_0). \end{align*}\] Also \(|P'(r)|=C(r)P(r)/r\leq(33/2)P(r_0)/r_0\). Thus \((r,F,P,y,Z)\) remains in a compact subset of the domain \(r,F,P,y>0\) of the smooth system (14). Its right-hand side is bounded there, so the state has a limit at \(R\) in that domain. Local existence and uniqueness at this limit extend the solution past \(R\), a contradiction. Smoothness for \(r>0\) follows from (14), and Lemma 3 supplies smoothness in \(x\) at the origin. The Hessian eigenvalues for \(r>0\) are \(y'>0\) and \(y/r>0\); at the origin the Hessian is \(I\). ◻ Proof of Theorem 1. Take the global radial functions of Proposition 6. By (8), they satisfy (3) for \(x\ne0\). The functions are smooth, \(F,P>0\), and \(D_x^2F>0\) everywhere, so both identities extend to \(x=0\) by continuity. Proposition 2 now shows that \[u(x,t)=\sqrt{F(|x|)^2+t^2},\qquad (x,t)\in\mathbb R^9\times\mathbb R,\] is smooth, has positive definite Hessian everywhere, and solves the classical affine maximal equation in dimension ten. Finally, \(u(0,t)=\sqrt{1+t^2}\) because \(F(0)=1\), so \(u\) is not a quadratic polynomial. ◻
Calabi, Eugenio. 1982. “Hypersurfaces with Maximal Affinely Invariant Area.” American Journal of Mathematics 104 (1): 91–126. https://doi.org/10.2307/2374069.
Chern, Shiing-Shen. 1979. “Affine Minimal Hypersurfaces.” In Minimal Submanifolds and Geodesics (Proceedings of the Japan–United States Seminar, Tokyo, 1977), edited by Morio Obata. North-Holland.
Du, Shi-Zhong. 2024. “Non-Quadratic Euclidean Complete Affine Maximal Type Hypersurfaces for \(\theta\in(0,(N-1)/N]\).” The Journal of Geometric Analysis 34 (8): 229. https://doi.org/10.1007/s12220-024-01678-7.
Sun, Yalin, Cheng Xing, and Ruiwei Xu. 2026. New Non-Quadratic Euclidean Complete Affine Maximal Type Hypersurfaces via Calabi Affine Geometry. https://doi.org/10.48550/arXiv.2608.25330.
Trudinger, Neil S., and Xu-Jia Wang. 2000. “The Bernstein Problem for Affine Maximal Hypersurfaces.” Inventiones Mathematicae 140 (2): 399–422. https://doi.org/10.1007/s002220000059.
Trudinger, Neil S., and Xu-Jia Wang. 2002. “Affine Complete Locally Convex Hypersurfaces.” Inventiones Mathematicae 150 (1): 45–60. https://doi.org/10.1007/s00222-002-0229-8.
|
| ||||||||
|