THE INTERIOR C 2 ESTIMATE FOR PRESCRIBED GAUSS CURVATURE EQUATION IN DIMENSION TWO

Σχετικά έγγραφα
Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Congruence Classes of Invertible Matrices of Order 3 over F 2

2 Composition. Invertible Mappings

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Example Sheet 3 Solutions

4.6 Autoregressive Moving Average Model ARMA(1,1)

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

Other Test Constructions: Likelihood Ratio & Bayes Tests

C.S. 430 Assignment 6, Sample Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

ST5224: Advanced Statistical Theory II

Statistical Inference I Locally most powerful tests

Tridiagonal matrices. Gérard MEURANT. October, 2008

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

EE512: Error Control Coding

Section 8.3 Trigonometric Equations

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Homework 3 Solutions

Second Order Partial Differential Equations

Every set of first-order formulas is equivalent to an independent set

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Solution Series 9. i=1 x i and i=1 x i.

D Alembert s Solution to the Wave Equation

Matrices and Determinants

n=2 In the present paper, we introduce and investigate the following two more generalized

Homomorphism in Intuitionistic Fuzzy Automata

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

6.3 Forecasting ARMA processes

Homework 8 Model Solution Section

A Note on Intuitionistic Fuzzy. Equivalence Relation

Fractional Colorings and Zykov Products of graphs

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Finite Field Problems: Solutions

New bounds for spherical two-distance sets and equiangular lines

w o = R 1 p. (1) R = p =. = 1

derivation of the Laplacian from rectangular to spherical coordinates

A General Note on δ-quasi Monotone and Increasing Sequence

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

The k-α-exponential Function

( ) 2 and compare to M.

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

Srednicki Chapter 55

If we restrict the domain of y = sin x to [ π, π ], the restrict function. y = sin x, π 2 x π 2

Lecture 21: Properties and robustness of LSE

Concrete Mathematics Exercises from 30 September 2016

MATRIX INVERSE EIGENVALUE PROBLEM

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

If we restrict the domain of y = sin x to [ π 2, π 2

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Problem Set 3: Solutions

Solutions to Exercise Sheet 5

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

Reminders: linear functions

Areas and Lengths in Polar Coordinates

Section 7.6 Double and Half Angle Formulas

Takeaki Yamazaki (Toyo Univ.) 山崎丈明 ( 東洋大学 ) Oct. 24, RIMS

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Areas and Lengths in Polar Coordinates

Uniform Convergence of Fourier Series Michael Taylor

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

CRASH COURSE IN PRECALCULUS

Section 9.2 Polar Equations and Graphs

Space-Time Symmetries

Inverse trigonometric functions & General Solution of Trigonometric Equations

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

5. Choice under Uncertainty

A Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering

PROPERTIES OF CERTAIN INTEGRAL OPERATORS. a n z n (1.1)

1. Introduction and Preliminaries.

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

Homomorphism of Intuitionistic Fuzzy Groups

arxiv: v1 [math.ap] 2 Nov 2017

Lecture 34 Bootstrap confidence intervals

The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points

CHAPTER 48 APPLICATIONS OF MATRICES AND DETERMINANTS

Some new generalized topologies via hereditary classes. Key Words:hereditary generalized topological space, A κ(h,µ)-sets, κµ -topology.

= λ 1 1 e. = λ 1 =12. has the properties e 1. e 3,V(Y

The Simply Typed Lambda Calculus

The Pohozaev identity for the fractional Laplacian

Parametrized Surfaces

The Fekete Szegö Theorem for a Subclass of Quasi-Convex Functions

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

Strain gauge and rosettes

Higher Derivative Gravity Theories

Math221: HW# 1 solutions

Local Approximation with Kernels

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

MATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3)

SOLVING CUBICS AND QUARTICS BY RADICALS

SOME PROPERTIES OF FUZZY REAL NUMBERS

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

Second Order RLC Filters

Approximation of distance between locations on earth given by latitude and longitude

Lecture 2. Soundness and completeness of propositional logic

Commutative Monoids in Intuitionistic Fuzzy Sets

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1

Transcript:

THE INTERIOR C ESTIMATE FOR PRESCRIBED GAUSS CURVATURE EQUATION IN DIMENSION TWO CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU arxiv:5.047v [math.ap 8 Apr 06 Abstract. In this paper, we introduce a new auxiliary function, and establish the interior C estimate for prescribed Gauss curvature equation in dimension two.. Introduction Given a positive function f(x) C (Ω) with Ω R n, to find a convex solution u, such that the Gauss curvature of the graph (x,u(x)) is f(x), that is (.) det u (+ u ) n+ f(x), in Ω. This is the classical prescribed Gauss curvature problem, and (.) is called prescribed Gauss curvature equation. The a priori estimates are very important for fully nonlinear elliptic equations, especially the C estimate. The interior C estimate of σ Hessian equation (.) σ ( u) f(x), in B R (0) R n in higher dimensions is a longstanding problem, where σ ( u) σ (λ( u)) λ i λ i, λ( u) (λ,,λ n ) are the eigenvalues of u, and f > 0. For i <i n n, (.) is the Monge-Ampère equation, and Heinz [5 obtained the estimate by the convex hypersurface geometry method (see [ for an elementary analytic proof). For Monge-Ampère equations with dimension n 3, Pogorelov [7 constructed his 00 Mathematics Subject Classification: 35J96, 35B45, 35B65. Keywords: interiorc estimate, Monge-Ampèreequation, prescribed Gauss curvature equation. Research of the first author is supported by the National Natural Science Foundation of China (NO. 30497 and NO. 4788). Research of the second author is supported by the National Natural Science Foundation of China (NO. 6048). Research of the third author is supported by NSFC No. 0603 and by Guangxi Science Foundation (04GXNSFAA808) and Guangxi Education Department Key Laboratory of Symbolic Computation and Engineering Data Processing.

CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU famous counterexample, namely irregular solutions to Monge-Ampère equations. For n 3 and f, (.) can be reduced to a special Lagrangian equation after a Lewy transformation, and Warren-Yuan obtained the corresponding interior C estimate in the celebrated paper [0. Moreover, the problem is still open for general f with n 4 and nonconstant f with n 3. Also Urbas [9 generalized the counterexample for σ k Hessian equations with k 3. Moreover, Pogorelov type estimates for the Monge-Ampère equations and σ k Hessian equation (k ) were derived by Pogorelov [7 and Chou-Wang [3 respectively, and see [4 and [6 for some generalizations. In this paper, we consider the convex solution of prescribed Gauss curvature equation in dimension n as follows (.3) det u (+ u ) f(x), in B R(0) R, and establish the interior C estimate as follows Theorem.. Suppose u C 4 (B R (0)) be a convex solution of prescribed Gauss curvature equation (.3) in dimension n, where 0 < m f M in B R (0). Then (.4) u(0) C(m,M,R,sup f,sup f,sup u ), where C is a positive constant depending only on m, M, R, sup f, sup f, and sup u. Remark.. Heinz established an interior C estimate for general Monge-Ampère equation with general conditions in [5, and the proof depends on the strict convexity of solutions and the geometry of convex hypersurface in dimension two. In this paper, our proof, which is based on a suitable choice of auxiliary functions, is elementary and avoids geometric computations on the graph of solutions. This technique is from [. Remark.3. By Trudinger s gradient estimates of Hessian equations in [8 or a gradient estimate of convex function, that is osc u B R (0) sup u B R (0) R, we can bound u(0) in terms of u.

C INTERIOR A PRIORI ESTIMATE 3 The rest of the paper is organized as follows. In Section, we give the calculations of the derivatives of eigenvalues and eigenvectors with respect to the matrix. In Section 3, we introduce a new auxiliary function, and prove Theorem... Derivatives of eigenvalues and eigenvectors In this section, we give the calculations of the derivatives of eigenvalues and eigenvectors with respect to the matrix. We think the following result is known for many people, for example see [ for a similar result. For completeness, we give the result and a detailed proof. Proposition.. Let W {W ij } is an n n symmetric matrix and λ(w) (λ,λ,,λ n ) are the eigenvalues of the symmetric matrix W, and the corresponding continuous eigenvector field is τ i (τ i,,,τ i,n) S n. Suppose that W {W ij } is diagonal, λ i W ii and the corresponding eigenvector τ i (0,,0,,0,,0) S n at the diagonal matrix W. If λ k is distinct with other i th eigenvalues, then we have at the diagonal matrix W (.) (.) (.3) (.4) τ k,k 0, p,q; W ik τ k,k W pk W pk (λ k λ p ), p k; τ k,i W ik W ii τ k,i W iq W qk, i k; ( ), i k; τ k,i λ k λ q, i k,i q,q k; 0, otherwise. W ik W kk ( ), i k; (.5) τ k,i W rs 0, otherwise. Proof. From the definition of eigenvalue and eigenvector of matrix W, we have (W λ k I)τ k 0, where τ k is the eigenvector of W corresponding to the eigenvalue λ k. That is, for i,,n, it holds (.6) [W ii λ k τ k,i + j i W ij τ k,j 0.

4 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU When W {W ij } is diagonal and λ k is distinct with other eigenvalues, λ k and τ k are C at the matrix W. In fact, (.7) τ k,k, τ k,i 0, i k, at W. Taking the first derivative of (.6), we have [ W ii λ k τ k,i +[W ii λ k τk,i + [ W ij τ k τ k,j,j +W ij 0. j i Hence for i k, we get from (.7) (.8) And for i k, then (.9) Since τ k S n, we have (.0) λ k W kk [W ii λ k τk,i + j i {, p k,q k; 0, otherwise. W ij τ k,j 0, { W ik λ k λ i, p i,q k; 0, otherwise. τ k (τ k,) + +(τ k,k) + +(τ k,n). Taking the first derivative of (.0), and using (.7), it holds (.) τ k,k 0, (p,q). For i k, taking the second derivative of (.6), and using (.7), it holds hence W kk [ λ k τ k,k + W rs W rs j k [ W kj τ k,j W rs + W kj W rs τ k,j 0, (.) λ k W rs j k 0, otherwise. [ W kj τ k,j W rs + W kj W rs τ k,j λ k λ q, p k,q k,r q,s k; λ k λ s, r k,s k,p s,q k;

C INTERIOR A PRIORI ESTIMATE 5 For i k, it holds [ W ii λ k τk,i +[ W ii λ k τk,i τ k,i +[W ii λ k W rs W rs W rs W rs + j i [ W ij τ k,j W rs + W ij W rs τ k,j 0, then (.3) (.4) (.5) τ k,i W ik W ii τ k,i W iq W qk τ k,i W ik W kk W ik W iq W iq τ k,q W qk, i k; λ k λ q, i k,i q,q k; [ λ k W kk W ik, i k; (.6) then τ k,i W rs 0, otherwise. From (.0), we have τ k,k W rs i k τ,k k τ k,k + W rs i k W rs W rs 0, { λ k λ p λ k λ p, p k,q k,r p,s q; 0, otherwise. The proof of Proposition. is finished. Example.. When n, the matrix ( ) u u has two eigenvalues u u λ ( +u )+ ( u ) +4u u, λ ( +u ) ( u ) +4u u, with λ λ. If λ > λ, [( ) ( u u 0 λ u u 0 )( ) ξ 0, ξ

6 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU we can get ξ (u ) ( u ) +4u u ; ξ u. Then the eigenvector τ corresponding to λ is We can verify Proposition.. τ (ξ,ξ ) ξ +ξ. 3. Proof of Theorem. Now we start to prove Theorem.. Letτ(x) τ( u(x)) (τ,τ ) S bethecontinuouseigenvector fieldof u(x) corresponding to the largest eigenvalue. Denote (3.) Σ : {x B R (0) : r x + x,τ(x) > 0,r x,τ(x) > 0}, where r R. It is easy to know, Σ is an open set and B r (0) Σ B R (0). We introduce a new auxiliary function in Σ as follows (3.) φ(x) (x) β g( Du )u ττ where (x) (r x + x,τ(x) )(r x,τ(x) ) with β 4 and g(t) e c 0 r t with c 0 3. In fact, x,τ(x) is invariant under rotations of the coordinates, so is (x). m From the definition of Σ, we know (x) > 0 in Σ, and 0 on Σ. Assume the maximum of φ(x) in Σ is attains at x 0 Σ. By rotating the coordinates, we can assume u(x 0 ) is diagonal. In the following, we denote λ i u ii (x 0 ), λ (λ,λ ). Without loss of generality, we can assume λ λ. Then τ(x 0 ) (,0). We will use notion h O(f) if h(x) Cf(x) for any x Ω with a positive constantc dependingonlyonm, M, R, sup f,sup f,andsup u. Similarly we write h O(f) if h(x) Cf(x) and h O(f) if h(x) Cf(x). Now, we assume λ is big enough. Otherwise there is nothing to prove. Then we have from the equation (.3), (3.3) λ f(+ u ) λ M(+ u ) λ < λ.

C INTERIOR A PRIORI ESTIMATE 7 Hence λ is distinct with the other eigenvalue, and τ(x) is C at x 0. Moreover, the test function (3.4) ϕ βlog +logg( u )+log attains the local maximum at x 0. In the following, all the calculations are at x 0. Then, we can get 0 ϕ i β i + g u k u ki + i, g so we have k (3.5) i β i g g u iu ii, i,. At x 0, we also have since g g g 0. Let 0 ϕ ii β[ ii i g g g + g + g g k u k u ki u l u li (u ki u ki +u k u kii )+ ii u i u β[ ii i g + g [u ii + k k l u k u kii + ii u i, u F det u F det u u λ, F det u u λ, 0, F det u u 0. Then from the equation (.3) we can get (3.6) λ f(+ u ) λ. Differentiating (.3) once, we can get (3.7) F i +F u i f i (+ u ) +f (+ u ) u i u ii,

8 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU then (3.8) u i F [f i(+ u ) +f (+ u ) u i u ii F i f i(+ u ) λ f(+ u ) λ +f 4(+ u u ii )u i f(+ u ) λ λ i +O(). i Differentiating (.3) twice, we can get F +F u [f(+ u ) det u u x u det u u u u u f (+ u ) +f (+ u ) u +f[(u ) +(+ u ) (u +u ku k ) u +u f (+ u ) +8f (+ u )u +f[8u +4(+ u )u +4f(+ u )[u +u u +u [ f (+ u ) +f 4(+ u )u f(+ u ) λ λ (3.9) f (+ u ) +8f (+ u )u +f[8u +4(+ u )u +4f(+ u )[ u +u u f (+ u ) +u +f(+ u ) ( ) f[8u +4(+ u )u +O(λ ) +4f(+ u )[ u +u f (+ u ) +u +f(+ u ) ( ),

C INTERIOR A PRIORI ESTIMATE 9 and F +F u x x [f(+ u ) det u u det u u det u u u u u u u f (+ u ) +f (+ u ) u u +f (+ u ) u +f[(u )(u u )+(+ u ) u k u k u u + u f (+ u ) +4(+ u )[f u u +f u (3.0) +8f u u (+ u ) +4f(+ u )u +4f(+ u )u [ f(+ u ) λ +O() [ f (+ u ) λ +f 4(+ u )u u λ f(+ u ) λ + [ f (+ u ) λ +f 4(+ u )u f(+ u ) λ [f (+ u ) +f 8(+ u )u u + [f (+ u ) +f 8(+ u )u +O(λ ).

0 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU Hence we can get by (3.7) and (3.9), 0 F ii ϕ ii i β F ii [ ii i g + g i i + i F ii ii i F ii u ii + g g F ii [ i u k F ii u iik βλ [ +βλ [ g + g [λ +λ f(+ u ) + g g [(u f +u f )(+ u ) +4f (+ u )(u +u u ) + { f[8u +4(+ u )u +O(λ ) +4f(+ u )[ u +u u f (+ u ) +u +f(+ u ) ( ) } λ [ λ [ β[λ +λ βλ βλ + g g f(+ u ) λ +λ [ [4f(+ u )u + f (+ u ) k i (3.) +f[8u +4(+ u ) + λ [ + λ [β + g g u u +4f(+ u )u +O() β[λ +λ βλ + g g f(+ u ) λ + λ [ + λ [ +( β β)λ +βf(+ u )[(+ u ) g g 4 u +O(),

where we used the following inequalities C INTERIOR A PRIORI ESTIMATE λ [ [4f(+ u )u + f (+ u ) +f[8u u +4(+ u ) λ [ + λ { λ [4f(+ u )u + f (+ u ) } [4f(+ u )u + f (+ u ) +f[8u λ u +4(+ u ) λ [ λ )u f(+ u ) [4f(+ u + f (+ u ) +f[8u +4(+ u ) λ [ 8fu λ 8f (+ u )u f (+ u ) f +f[8u +4(+ u ) λ [ 8f (+ u )u f (+ u ), f and 4f(+ u )u 4f(+ u )u [ β g g u u 4βf(+ u ) u +O(). Now we have the following lemma. Lemma 3.. If λ is big enough, we have at x 0 (3.) (3.3) and (3.4) βλ λ 4 ( ) +O( ); βf(+ u )[(+ u ) g g 4 u O( ); β[λ +λ g g fλ βλ [ λ ( ) λ 4 ( ) +O( ). Proof. At x 0, τ (τ,τ ) (,0). Then from Proposition. we get τ m τ m τ x, i τ x m x m u pqi x u pqi x i u pq u pq (3.5) m m x u i λ λ, i,.

CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU From the definition of, then we have at x 0 (3.6) [r x + x,τ [r x,τ (r x )(r x ). Taking the first derivative of, we can get i [ x i + x,τ x,τ i [r x,τ +[r x + x,τ [ x,τ x,τ i [ x i +x (δ i + x, i τ )[r x +(r x )[ x (δ i + x, i τ ) { x (r x )+x x, τ (x x ), i ; x (r x )+x x, τ (x x ), i. Hence if λ is big enough, we can get (3.7) Also we have βλ βλ [ x (r x ) x +x x x λ λ βλ [ 8r6 + 8r8 ( λ λ ) λ 4 ( ) +O( ). x (r x ) x x +x x x (r x ) x (r x ) +x x x x +x x x x u λ λ [ f(+ u ) +O() λ λ λ (x x [ x )(r x ) O() λ λ f(+ u ) [β λ λ λ + g g u x (r x ) [+O( (x ) x x )(r x ) λ +x x x x x (r x ) [+O( ) λ f(+ u ) g λ λ g u f(+ u ) β[ x (r x ) x x +x x λ λ λ x x +[x x f(+ u ) β[ β (λ λ ) g g u u, λ λ

C INTERIOR A PRIORI ESTIMATE 3 then we can get [+β x x (x x ) f(+ u ) (λ λ ) x (r x ) [+O( x x ) [x x λ x (r x ) [+O( )+x λ x (x x ) (r x ) (3.8) x (r x ) [+O( ), λ which implies f(+ u ) (λ λ ) β g g u u f(+ u ) (λ λ ) β g g u u (3.9) x (r x ) [+O( ). λ That is x (r x ) (3.0) so if λ is big enough. Hence βf(+ u )[(+ u ) g g 4 u O( ). Taking second derivatives of, we can get ii [ + x,τ x,τ ii + x,τ i x,τ i [r x,τ +[ x i + x,τ x,τ i [ x,τ x,τ i +[r x + x,τ [ x,τ x,τ ii x,τ i x,τ i [ +x x,τ ii +(δ i + x, i τ ) [r x +[ x i +x (δ i + x, i τ )[ x (δ i + x, i τ ) +(r x )[ x x,τ ii (δ i + x, i τ ), (3.) (3.) (r x ) x (x x ) x,τ +(4x x ) x, τ +(x 0x ) x, τ, (r x ) x (x x ) x,τ +8x x x, τ +(x 0x ) x, τ.

4 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU Hence β[λ +λ β[λ r x (3.3) r x +λ β x (x x ) [λ x,τ +λ x,τ +βλ [ x (4x x ) + x (x 0x ) ( ) λ λ λ λ +βλ [ 8x x u + x (x 0x ) u ( ). λ λ λ λ Direct calculations yield x,τ [ x m τ u pq u pq + x m τ m τ x + m m x m τ m x x m [ τ m u pq u pq + τ m u pq u rs u pq u rs τ 0+x u pq u rs +x [ τ u pq + τ u pq u rs u pq [ +x x [ u λ λ λ λ u pq u rs u pq u rs [ u +x (λ λ ) + u (λ λ ), Similarly, we have x,τ [ x m τ u pq + u pq m [ λ λ [ +x λ λ x m τ m τ x + m x m τ m x x m [ τ m u pq u pq + τ m [ u u x λ λ u pq u rs u pq u rs u +x [ u (λ λ ) + u u (λ λ ),

C INTERIOR A PRIORI ESTIMATE 5 then λ x,τ +λ x,τ [ [ u u x λ +λ λ λ λ λ [ +x λ λ [ u x λ λ λ [ [f (+ u ) +f 8(+ Du )u u + [f (+ u ) +f 8(+ u )u +O(λ ) x (λ λ ) [ f (+ u ) +f (+ u ) u u [ +x f (+ u ) +f (+ u ) u (λ λ ) u [ u O( [ u )+ O( )+O() λ λ λ λ λ λ [ [ u u + O(λ )+ O(λ )+ (3.4) O( ). λ λ λ λ λ From (3.3) and (3.4), we can get β[λ +λ O( r x ) βλ +O( λ ) +( ) O( )+( ) O( )+ O( ) λ λ λ λ λ λ λ u +( ) O( λ λ λ )+ u O( λ λ λ ) βλ r x +O( )+( ) O( )+( λ λ λ ) O( λ λ + O( λ )+[ f(+ u ) λ +O() O( λ ) +[ f(+ u ) λ +O() O( ) λ ) (3.5) βλ r x +O( ) λ ( ) λ 4 ( ).

6 CHUANQIANG CHEN, FEI HAN, AND QIANZHONG OU r Now we just need to estimate βλ x. If x r, we can get βλ r x If x > r, we can get βλ r x if λ is big enough. Hence (3.6) and (3.7) 8 λ r x 6 r λ 8 λ r x x r x βλ [, βλ r x 8 r x c 0 r fλ g g fλ βλ [, g g fλ. λ βλ [ x r x β[λ +λ g g fλ βλ [ λ ( ) λ 4 ( ) +O( ). Now we continue to prove Theorem.. From (3.) and Lemma 3., we can get 0 F ii ϕ ii g g fλ +O( )+O() (3.8) So we can get i g g fλ C 0 C 0, (3.9) λ C. where C 0 and C are positive constants depending only on m, M, R, sup f, sup f, and sup u. So we can easily get and u τ(0)τ(0) (0) r 4βφ(0) r 4βφ(x 0) C, (3.30) u ξξ (0) u τ(0)τ(0) (0) C, ξ S. Then we have proved (.4), and Theorem. holds. Acknowledgement. The authors would like to express sincere gratitude to Prof. Xi-Nan Ma for the constant encouragement in this subject.

C INTERIOR A PRIORI ESTIMATE 7 References [ B. Andrews, Pinching estimates and motion of hypersurfaces by curvature functions, J. Reine Angew. Math., 608(007), 7-33. [ C.Q. Chen, F. Han, Q.Z. Ou, The interior C estimate for Monge-Ampère equation in dimension n, arxiv:5.046, 05. [3 K.S. Chou, X.J. Wang, A variation theory of the Hessian equation, Comm. Pure Appl. Math., 54(9)(00), 09-064. [4 P. Guan, C. Ren, Z. Wang, Global C estimates for convex solutions of curvature equations, Comm. Pure Appl. Math, 68(05), 87-35. [5 E. Heinz, On elliptic Monge-Ampère equations and Weyls embedding problem, J. Analyse Math., 7(959), -5. [6 M. Li, C. Ren, Z. Wang, An interior estimate for convex solutions and a rigidity theorem, J. Funct. Anal., 70(06), 69-74. [7 A.V. Pogorelov, The multidimensional Minkowski problem, New York, Wiley 978. [8 N.S. Trudinger, Weak solutions of Hessian equations, Comm. Partial Differential Equations, (7-8)(997), 5-6. [9 J. Urbas, On the existence of nonclassical solutions for two class of fully nonlinear elliptic equations, Indiana Univ. Math. J., 39(990), 355-38. [0 M. Warren, Y. Yuan, Hessian estimates for the σ equation in dimension 3, Comm. Pure Appl. Math., 6(009), 305-3. Department of Applied Mathematics,, Zhejiang University of Technology, Hangzhou, 3003, Zhejiang Province, CHINA E-mail address: cqchen@mail.ustc.edu.cn School of Mathematics Sciences, Xinjiang Normal University, Urumqi, 830054, Xinjiang Uygur Autonomous Region, CHINA E-mail address: klhanqingfei@6.com Department of Mathematics, Hezhou University, Hezhou, 54800, Guangxi Province, CHINA E-mail address: ouqzh@63.com