Convexity breaking of the free boundary for porous medium equations
|
|
- Eileen Wright
- 7 years ago
- Views:
Transcription
1 Interfaces and Free Boundaries 12 (2010), DOI /IFB/227 Convexity breaking of the free boundary for porous medium equations KAZUHIRO ISHIGE Mathematical Institute, Tohoku University, Aoba, Sendai , Japan PAOLO SALANI Dipartimento di Matematica U. Dini, Viale Morgagni 67/A, Firenze, Italy [Received 1 December 2008 and in revised form 15 December 2009] We investigate the preservation of convexity of the free boundary by the solutions of the porous medium equation. We prove that starting with an initial datum with some kind of suboptimal α- concavity property, the convexity of the positivity set can be lost in a short time. 1. Introduction We consider the Cauchy problem for the porous medium equation, { t u = u m in R N (0, ), u(x, 0) = ϕ(x) 0 in R N, (1.1) where t = / t, N 2, m > 1, and ϕ C 0 (R N ). It is well known that the problem (1.1) has a unique strong solution u C(R N (0, )), and that the positivity set of u(, t), P ϕ (t) = {x R N : u(x, t) > 0}, is bounded for any t 0 and increases with time. This paper is concerned with the following problem. PROBLEM (P) Let Ω be a bounded convex domain and let the initial datum ϕ be a nonnegative function, belonging to C 0 (R N ) C (Ω), whose positivity set P ϕ (0) coincides with Ω. Moreover, set f = ϕ m 1 and assume that (A α ) { (i) there exists a positive constant µ such that f + f µ in Ω; (ii) f is α-concave in R N for some α [, ]. Is then P ϕ (t) convex for every t > 0? (See Section 2 for the definition of α-concavity.) The porous medium equation provides a simple model in many physical situations, in particular, the flow of an isentropic gas through a porous medium; in such a case, u and u m 1 represent the density and the pressure of the gas, respectively. Due to its practical interest, regularity and geometric properties of the free boundary P ϕ (t) have been extensively studied by many c European Mathematical Society 2010
2 76 K. ISHIGE AND P. SALANI mathematicians; see for instance [1], [3] [8], [14] [16] and the monograph [17], which gives a good survey of the study of the porous medium equations and a comprehensive list of references. In connection to problem (P), in [14], Lee and Vázquez proved that P ϕ (t) is convex for all sufficiently large t, even if P ϕ (0) is not convex; in fact, they proved that the pressure u m 1 becomes a concave function on its support after a suitably long time, if the initial support is compact. Furthermore, under suitable regularity conditions on the initial datum ϕ, in [7], Daskalopoulos, Hamilton, and Lee proved that, if f = ϕ m 1 satisfies condition (A α ) with α = 1/2, then the pressure u(, t) m 1 remains 1/2 -concave for t > 0, which again implies that the set P ϕ (t) is convex for every t > 0. This gives an affirmative answer to problem (P) with α 1/2. We may then wonder if the exponent 1/2 has some optimality property and, similarly to [14] and [17, page 520], we ask: is the α- concavity of the initial pressure u m 1 preserved even if α < 1/2? And, if not, does the α-concavity (α < 1/2) of the initial datum implies the β-concavity of u(, t) for every t > 0, for some suitable β < α? Notice that problem (P) corresponds exactly to the latter question for β =. In this paper we give a negative answer to problem (P) (and hence to all the stronger questions posed above) for some α > 0, proving the following result. THEOREM 1.1 Let Ω be a C 2 bounded convex domain in R N, N 2, and let t > 0. Then there exists a nonnegative function ϕ C 0 (R N ) satisfying the condition (A α ) for some α > 0 and such that P ϕ (0) = Ω, while P ϕ (t) is not convex for some t (0, t ). The above theorem essentially tells us that even starting with an initial datum with some kind of suboptimal concavity, the spatial convexity of the free boundary can be lost in an (arbitrarily chosen) short time. We remark that we are not simply saying that the α-concavity of the initial pressure (for some α < 1/2) is not preserved, but that such a property may be completely destroyed by diffusion in a porous medium, since an α-concave initial datum can result in a solution which is not even quasi-concave at any time t > 0. Notice that quasi-concavity is the weakest concavity property one can imagine: roughly speaking, a function u is quasi-concave if all its superlevel sets are convex. In fact, this corresponds to ( )-concavity. We finally recall that α-concavity for all α > 0 implies log-concavity; hence Theorem 1.1 shows in particular that starting with a log-concave initial datum is not sufficient to maintain the convexity of P ϕ (t). For comparison, we recall that the heat flow, corresponding to (1.1) for m = 1, preserves log-concavity (see [2], [13], [10]). In this connection, the present authors proved in [9] that the mere quasi-concavity of the initial datum is not inherited, in general, by the solutions of the heat equation. Now, we are able to improve this result by showing that α-concavity, for some α < 0, is not necessarily preserved by the heat flow. Indeed, in Theorem 4.1, we construct examples of α-concave initial data, with α < 0, that generate a heat distribution which is not quasi-concave after a small time. 2. Preliminaries and notation In this section we introduce some notation and recall some basic properties of α-concave functions and of solutions of the porous medium equation. For any x R N and r > 0, we put B(x, r) = {y R N : x y < r}. Let D be a set in R N. We denote by χ D the characteristic function of D, that is, χ D (x) = 1 for x D and χ D (x) = 0 for x D.
3 and CONVEXITY BREAKING FOR POROUS MEDIUM EQUATIONS 77 Let λ (0, 1) and α [, ]; for s, t 0 with st > 0 we define (λs α + (1 λ)t α ) 1/α if α {±, 0}, min{s, t} if α =, g α (s, t : λ) = max{s, t} if α =, s λ t 1 λ if α = 0, g α (s, t : λ) = 0 if st = 0. Let u be a nonnegative function defined in a convex set Ω. Following [2] and [11], we say that u is α-concave if u((1 λ)x + λy) g α (u(x), u(y) : λ) for all x, y Ω and λ [0, 1]. In other words, for α > 0 [< 0], u is quasi-concave if u α is positive and concave [convex] in a convex set P u and vanishes outside P u. Furthermore, u is 0-concave (or log-concave) if u is positive in a convex set P u, vanishes outside P u and log u is concave in P u. For more details regarding α-concave functions, we refer to [2] and [11]; here we recall just the following two properties, which are used in this paper: (C1) if f is α-concave, then f is β-concave for all β α. (C2) Let α, β [0, ], and f and g be α-concave and β-concave functions on bounded convex subsets Ω 1 and Ω 2 of R N, respectively. Then the convolution f g, defined as usual by (f g)(x) = f (y)g(x y) dy, Ω 1 (x Ω 2 ) is γ -concave in Ω 1 + Ω 2, with γ 1 = N + α 1 + β 1. Next we recall some properties of solutions of (1.1). For any nonnegative function ϕ L 1 (R N ), there exists a unique (strong) solution u = S(t)ϕ of (1.1), and the following statements hold (see Section 9 in [17]): (S1) (S(t)ϕ)(x) is a continuous function in R N (0, ). (S2) If 0 ϕ 1 ϕ 2 almost everywhere in R N and ϕ 2 L 1 (R N ), then 0 (S(t)ϕ 1 )(x) (S(t)ϕ 2 )(x) in R N (0, ). (S3) If P ϕ (0) is bounded, then P ϕ (t) is bounded for all t > 0 and P ϕ (t 1 ) P ϕ (t 2 ) if 0 < t 1 < t 2. It is well known that the equation (1.1) has a family of self-similar solutions called Barenblatt Pattle solutions given by [ ] U M (x, t) = t kn (m 1)k 1/(m 1) c M 2m x 2 t 2k, + where [v] + = max{v, 0}, k = (N(m 1) + 2) 1 and c M is given by mass conservation R N U M (x, t) dx = M 0.
4 78 K. ISHIGE AND P. SALANI Then, for any t > 0, we have {x R N : U M (x, t) > 0} = {x R N : x < c M tk }, (2.1) where c M = 2mc M /(m 1)k. The following proposition, taken from [4], gives a lower bound of the speed of propagation of the support of solutions for porous medium equations. PROPOSITION 2.1 (See Proposition 3.1 in [4]) Let ϕ L 1 (R N ) be a nonnegative function and set E(x : ϕ) = sup R (N+ m 1 2 ) ϕ(y) dy. (2.2) R>0 y x <R There exists a constant c = c (N, m) such that (S(t)ϕ)(x) = 0 for every (x, t) R N (0, ) such that 0 < t < c E(x : ϕ) 1 m. (2.3) 3. Proof of Theorem 1.1 Let Ω be a C 2 bounded convex domain in R N. Here we can assume, without loss of generality, that For any r > 0, put Ω {x N < 0}, 0 Ω. (3.1) Ω(r) = {x Ω : dist(x, Ω) > r}. Then there exists a positive constant δ such that B(x, r) = Ω, 0 < r < δ. (3.2) For n = 1, 2,..., define x Ω(r) Ω n = nω, Ω n = nω(n 2 ), Ω n = nω(2n 2 ) By (3.1), the convexity and the regularity of Ω, we have Set Ω n Ω n+1 {x N < 0}, ρ(x) = Ω n = Ω n = n=1 n=1 n=1 { 1 x 2 for x < 1, 0 for x 1. Furthermore, for any n = 1, 2,..., we put ρ n (x) = n N ρ(nx), d n (x) = Ω n Ω n = {x N < 0}. (3.3) (3.4) ρ n (x y) dy. (3.5) Then, by (3.2), we have {x R N : d n (x) > 0} = Ω n
5 CONVEXITY BREAKING FOR POROUS MEDIUM EQUATIONS 79 for all n = 1, 2,... with n > δ 1. Furthermore, since ρ is 1-concave, by (C2) the function d n is (N + 1) 1 -concave in R N. This implies that dn 1/(N+1) is concave in R N. Therefore, since d n (x) = 1 in Ω n and d n(x) = 0 on Ω n, for any sufficiently large n there exists a constant c n,1 such that Let A be a positive constant to be chosen later. Put d n (x) 1/(N+1) c n,1 dist(x, Ω n ) in Ω n \ Ω n. (3.6) ϕ n (x) = ( 1/(N+1)(m 1) A e y 2 ρ n (x y) dy) (3.7) Ω n and u n (x, t) = (S(t)ϕ n )(x). For any sufficiently large n, since e x 2 χ Ω n is α n -concave for some α n > 0, by (C2) there exists a positive constant β n such that the function ϕ m 1 n is β n -concave in R N. (3.8) On the other hand, by (3.2) (3.5), for n > δ 1/2, we have {ϕ n (x) > 0} = B(x, n 1 ) = n x Ω n x Ω(n 2 ) B(x, n 2 ) = nω. (3.9) Furthermore, by (3.5) (3.7), for any sufficiently large n, there exists a constant c n,2 such that ϕ n (x) m 1 (Ac n,2 d n (x)) 1/(N+1) c n,1 (Ac n,2 ) 1/(N+1) dist(x, Ω n ) in Ω n \ Ω n. This implies that there exist positive constants c n,3 and δ n such that for all x Ω n with dist(x, Ω n ) < δ n. Let t > 0. By (2.2), there exists a positive constant L such that where c is the constant given in Proposition 2.1. Since c M sufficiently large constant M such that Since (ϕ n (x) m 1 ) c n,3 (3.10) 0 < t < c E(Le N : χ {xn <0}) 1 m, (3.11) as M we can take a c M + L + 2 < c M (t + 1) k. (3.12) supp U M ( + (c M + 2)e N, 1) B( (c M + 2)e N, c M ) {x N < 1}, by (3.3) and (3.9) we can take a sufficiently large constant A so that ϕ n (x) U M (x + (c M + 2)e N, 1) in R N (3.13) for all sufficiently large n. Then, by (S2) and (3.13), we have u n (x, t) U M (x + (c M + 2)e N, t + 1) in R N (0, ),
6 80 K. ISHIGE AND P. SALANI and by (2.1) and (3.12) there exists a positive constant L > L such that for all 0 < l L and sufficiently large n. On the other hand, since u n (le N, t ) U M ((l + c M + 2)e N, t + 1) > 0 (3.14) sup ϕ n L (R N ) <, n N lim ϕ n(x) = 0 uniformly for all n, x by (3.3) and (3.9) there exists a constant R such that E(x : ϕ n ) = R (N+ m 1 2 sup ϕ n (y) dy E(Le N : χ {xn <0}) (3.15) x R N y x <R for all x = (x, x N ) with x R and x N L and for all n N. By Proposition 2.1, (3.11) and (3.15), we have u n (x, t ) = 0 (3.16) for all x = (x, x N ) with x R and x N L and all n N. Put λ = L + L + 2 2(L + 1). Then λ < 1 and 1 λ = L L 2(L + 1). By (3.3), we can take a large integer n so that (3.14) holds and ( ) R x =, 0,..., 0, 1 nω, (3.17) 1 λ and fix n. Then, by (3.9) and (3.17), we have u n ( x, t) > 0 for all t > 0. (3.18) Furthermore, the set P ϕn (t ) is not convex. Indeed, if P ϕn (t ) is convex, then, by (3.14), (3.17), and (3.18), we have (1 λ) x + λ (0,..., 0, L ) = (R, 0,..., 0, (L + L )/2) P ϕn (t ). Since (L + L )/2 > L, this contradicts (3.16). Finally, we put ϕ(x) = n N ϕ n (nx), U(x, t) = n N u n (nx, n 1/k t), t = n 1/k t (0, t ), where k = (N(m 1) + 2) 1. Then U(t) = S(t)ϕ, and by (3.8), ϕ m 1 is β n -concave in R N. Furthermore, by (3.9) and (3.10), we have P ϕ (0) = Ω and ϕ(x) m 1 + ϕ(x) m 1 C in Ω for some constant C. Therefore, since P ϕ ( t) = n 1 P ϕn (t ) is not convex, the proof of Theorem 1.1 is complete.
7 4. Heat equation CONVEXITY BREAKING FOR POROUS MEDIUM EQUATIONS 81 In this section we apply the argument of Section 3 to the heat equation, and improve a result of our previous paper [9]. Let u be a nonnegative solution of t u = u in Ω (0, ), u(x, t) = 0 on Ω (0, ) if Ω =, (4.1) u(x, 0) = ϕ(x) 0 in Ω, where Ω is a convex smooth domain in R N and N 2. Then, for any nonnegative solution u of the Cauchy Dirichlet problem (4.1), if the initial datum u(, 0) is 0-concave, then for any t > 0, the solution u(, t) is 0-concave, in particular, u(, t) is quasi-concave. In our previous paper [9], we discussed the preservation of the quasi-concavity by the heat flow, and gave an example of a quasi-concave initial datum for which the solution of (4.1) is not quasi-concave at some time. By the arguments in the previous sections and [9], we can now prove the following theorem. THEOREM 4.1 Let Ω be any smooth convex domain in R N (possibly Ω = R N ) and t > 0. Then there exists a nonnegative function ϕ C 0 (Ω) such that (1) ϕ is α-concave in Ω for some α (, 0), (2) the solution of (4.1) is not quasi-concave in Ω for some t t. Proof. Let ψ(x) = (1 + e x 2 )χ {xn <0}, ) v(x, t) = (e t ψ)(x) (4πt) R N/2 x y 2 exp ( ψ(y) dy. N 4t Let t > 0. Then, by the same argument as in Lemma 3.1 of [9], there exist two points X and Y in R N such that v(x, t ) > 1 2, v(y, t ) > 1 ( ) X + Y 2, v, t < (4.2) Next, for any n = 1, 2,..., we put Then we have ψ n (x) = ψ(x)χ B(xn,n)(x), x n = (n + n 1 )e N, u n (x, t) = (e t ψ n )(x). lim sup n x B(0,R) u n (x, t) v(x, t) = 0 for any R > 0 and t > 0, and by (4.2), for any sufficiently large n, u n (X, t ) > 1 2, u n(y, t ) > 1 ( ) X + Y 2, u n, t < (4.3) We take a sufficiently large n so that (4.3) holds, and fix n. Put { 0 if x xn < n m η m (x) = 1, (n x x n ) 1 m if n m 1 x x n < n,
8 82 K. ISHIGE AND P. SALANI FIG. 1. The function v and some of its level sets at time t = 0.1. where m = 1, 2,.... Then η m (x) is a convex function in B(x n, n). On the other hand, since ψ n is α n -concave for some α n < 0, ψ α n n is convex in B(x n, n), and the function ψ α n n + η m is also convex in B(x n, n). Put { (ψn (x) ϕ m (x) = α n + η m (x)) 1/α n if x B(x n, n), 0 otherwise, u m (x, t) = (e t ϕ m )(x). Then ϕ m (x) is an α n -concave function such that Hence ϕ m C 0 (R N ), supp ϕ m = B(x n, n) {x N < n 1 }, lim sup ϕ m (x) ψ n (x) = 0. (4.4) m x B(x n,n) lim sup m B(0,R) u m (x, t) u n (x, t) = 0 for any R > 0 and t > 0. This together with (4.3) implies that, for any sufficiently large m, u m (X, t ) > 1 2, u m(y, t ) > 1 ( ) X + Y 2, u m, t < ; (4.5) thus u m (, t ) is not quasi-concave in R N.
9 CONVEXITY BREAKING FOR POROUS MEDIUM EQUATIONS 83 If Ω = R N, we put ϕ(x) = ϕ m (x), and the proof of Theorem 4.1 is complete. For Ω = R N, without loss of generality, we can assume (3.1). We pick a sufficiently large m so that (4.5) holds. By (3.3) and (4.4), we can take an integer l such that ϕ m C 0 (Ω l ). Let U l be the solution of t U = U in Ω l (0, ), U(x, t) = 0 on Ω l (0, ), (4.6) U(x, 0) = ϕ m (x) in Ω l. Then lim sup m B(0,R) U l (x, t) u m (x, t) = 0 for any R > 0 and t > 0. By (4.5), there exists a sufficiently large L such that U L (X, t ) > 1 2, U L(Y, t ) > 1 ( ) X + Y 2, U L, t < ; (4.7) thus U L (, t ) is not quasi-concave in Ω L. Finally, we put u(x, t) = U L (Lx, L 2 t), ϕ(x) = ϕ m (Lx) C 0 (Ω) for all x Ω and t > 0. Then u is a solution of (1.1) and ϕ is α n -concave in Ω. Furthermore, by (4.7), u(, t) is not quasi-concave in Ω, for t = L 2 t t ; thus the proof of Theorem 4.1 is complete. Acknowledgements The main part of this work was completed while the second author was visiting the first one at Tohoku University. The visit was supported by the Grant-in-Aid for Scientific Research (B) (No ), Japan Society for the Promotion of Science. REFERENCES 1. ARONSON, D. G., & VÁZQUEZ, J. L. Eventual C -regularity and concavity for flows in onedimensional porous media. Arch. Ration. Mech. Anal. 99 (1987), Zbl MR BRASCAMP, H. J., & LIEB, E. H. On extensions of the Brunn Minkowski and Prékopa Leindler theorems, including inequalities for log concave functions, and with an application to the diffusion equation. J. Funct. Anal. 22 (1976), Zbl MR CAFFARELLI, L. A., & FRIEDMAN, A. Regularity of the free boundary of a gas flow in an n-dimensional porous medium. Indiana Univ. Math. J. 29 (1980), Zbl MR CAFFARELLI, L. A., VÁZQUEZ, J. L., & WOLANSKI, N. I. Lipschitz continuity of solutions and interfaces of the N-dimensional porous medium equation. Indiana Univ. Math. J. 36 (1987), Zbl MR DASKALOPOULOS, P., & HAMILTON, R. The free boundary for the n-dimensional porous medium equation. Int. Math. Res. Notices 1997, no. 17, Zbl MR DASKALOPOULOS, P., & HAMILTON, R. Regularity of the free boundary for the porous medium equation. J. Amer. Math. Soc. 11 (1998), Zbl MR DASKALOPOULOS, P., HAMILTON, R., & LEE, K. All time C -regularity of the interface in degenerate diffusion: a geometric approach. Duke Math. J. 108 (2001), Zbl MR
10 84 K. ISHIGE AND P. SALANI 8. GALAKTIONOV, V. A., & VÁZQUEZ, J. L. Geometrical properties of the solutions of one-dimensional nonlinear parabolic equations. Math. Ann. 303 (1995), Zbl MR ISHIGE, K., & SALANI, P. Is quasi-concavity preserved by heat flow? Arch. Math. (Basel) 90 (2008), Zbl MR GRECO, A., & KAWOHL, B. Log-concavity in some parabolic problems. Electron. J. Differential Equations 1999, no. 19, 12 pp. Zbl MR KENNINGTON, A. U. Power concavity and boundary value problems. Indiana Univ. Math J. 34 (1985), Zbl MR KENNINGTON, A. U. Convexity of level curves for an initial value problem. J. Math. Anal. Appl. 133 (1988), Zbl MR KOREVAAR, N. J. Convex solutions to nonlinear elliptic and parabolic boundary value problems. Indiana Univ. Math. J. 32 (1983), Zbl MR LEE, K.-A., & VÁZQUEZ, J. L. Geometrical properties of solutions of the porous medium equation for large times. Indiana Univ. Math. J. 52 (2003), Zbl MR LEE, K.-A., & VÁZQUEZ, J. L. Parabolic approach to nonlinear elliptic eigenvalue problems. Adv. Math. 219 (2008), Zbl MR NICKEL, K. Gestaltaussagen über Lösungen parabolischer Differentialgleichungen. J. Reine Angew. Math. 211 (1962), Zbl MR VÁZQUEZ, J. L. The Porous Medium Equation. Mathematical Theory. Oxford Math. Monogr., Oxford Univ. Press, Oxford (2007). Zbl MR
A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS. In memory of Rou-Huai Wang
A PRIORI ESTIMATES FOR SEMISTABLE SOLUTIONS OF SEMILINEAR ELLIPTIC EQUATIONS XAVIER CABRÉ, MANEL SANCHÓN, AND JOEL SPRUCK In memory of Rou-Huai Wang 1. Introduction In this note we consider semistable
More informationProperties of BMO functions whose reciprocals are also BMO
Properties of BMO functions whose reciprocals are also BMO R. L. Johnson and C. J. Neugebauer The main result says that a non-negative BMO-function w, whose reciprocal is also in BMO, belongs to p> A p,and
More informationEXISTENCE AND NON-EXISTENCE RESULTS FOR A NONLINEAR HEAT EQUATION
Sixth Mississippi State Conference on Differential Equations and Computational Simulations, Electronic Journal of Differential Equations, Conference 5 (7), pp. 5 65. ISSN: 7-669. UL: http://ejde.math.txstate.edu
More informationMATH 425, PRACTICE FINAL EXAM SOLUTIONS.
MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator
More information1 if 1 x 0 1 if 0 x 1
Chapter 3 Continuity In this chapter we begin by defining the fundamental notion of continuity for real valued functions of a single real variable. When trying to decide whether a given function is or
More informationFinite speed of propagation in porous media. by mass transportation methods
Finite speed of propagation in porous media by mass transportation methods José Antonio Carrillo a, Maria Pia Gualdani b, Giuseppe Toscani c a Departament de Matemàtiques - ICREA, Universitat Autònoma
More informationHow To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
More informationPacific Journal of Mathematics
Pacific Journal of Mathematics GLOBAL EXISTENCE AND DECREASING PROPERTY OF BOUNDARY VALUES OF SOLUTIONS TO PARABOLIC EQUATIONS WITH NONLOCAL BOUNDARY CONDITIONS Sangwon Seo Volume 193 No. 1 March 2000
More information0 <β 1 let u(x) u(y) kuk u := sup u(x) and [u] β := sup
456 BRUCE K. DRIVER 24. Hölder Spaces Notation 24.1. Let Ω be an open subset of R d,bc(ω) and BC( Ω) be the bounded continuous functions on Ω and Ω respectively. By identifying f BC( Ω) with f Ω BC(Ω),
More informationNo: 10 04. Bilkent University. Monotonic Extension. Farhad Husseinov. Discussion Papers. Department of Economics
No: 10 04 Bilkent University Monotonic Extension Farhad Husseinov Discussion Papers Department of Economics The Discussion Papers of the Department of Economics are intended to make the initial results
More informationAn optimal transportation problem with import/export taxes on the boundary
An optimal transportation problem with import/export taxes on the boundary Julián Toledo Workshop International sur les Mathématiques et l Environnement Essaouira, November 2012..................... Joint
More informationNotes on metric spaces
Notes on metric spaces 1 Introduction The purpose of these notes is to quickly review some of the basic concepts from Real Analysis, Metric Spaces and some related results that will be used in this course.
More informationON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS
ON NONNEGATIVE SOLUTIONS OF NONLINEAR TWO-POINT BOUNDARY VALUE PROBLEMS FOR TWO-DIMENSIONAL DIFFERENTIAL SYSTEMS WITH ADVANCED ARGUMENTS I. KIGURADZE AND N. PARTSVANIA A. Razmadze Mathematical Institute
More informationFurther Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1
Further Study on Strong Lagrangian Duality Property for Invex Programs via Penalty Functions 1 J. Zhang Institute of Applied Mathematics, Chongqing University of Posts and Telecommunications, Chongqing
More informationMetric Spaces Joseph Muscat 2003 (Last revised May 2009)
1 Distance J Muscat 1 Metric Spaces Joseph Muscat 2003 (Last revised May 2009) (A revised and expanded version of these notes are now published by Springer.) 1 Distance A metric space can be thought of
More informationDuality of linear conic problems
Duality of linear conic problems Alexander Shapiro and Arkadi Nemirovski Abstract It is well known that the optimal values of a linear programming problem and its dual are equal to each other if at least
More informationReference: Introduction to Partial Differential Equations by G. Folland, 1995, Chap. 3.
5 Potential Theory Reference: Introduction to Partial Differential Equations by G. Folland, 995, Chap. 3. 5. Problems of Interest. In what follows, we consider Ω an open, bounded subset of R n with C 2
More informationCONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian. Pasquale Candito and Giuseppina D Aguí
Opuscula Math. 34 no. 4 2014 683 690 http://dx.doi.org/10.7494/opmath.2014.34.4.683 Opuscula Mathematica CONSTANT-SIGN SOLUTIONS FOR A NONLINEAR NEUMANN PROBLEM INVOLVING THE DISCRETE p-laplacian Pasquale
More informationON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION. E. I. Pancheva, A. Gacovska-Barandovska
Pliska Stud. Math. Bulgar. 22 (2015), STUDIA MATHEMATICA BULGARICA ON LIMIT LAWS FOR CENTRAL ORDER STATISTICS UNDER POWER NORMALIZATION E. I. Pancheva, A. Gacovska-Barandovska Smirnov (1949) derived four
More information1 Completeness of a Set of Eigenfunctions. Lecturer: Naoki Saito Scribe: Alexander Sheynis/Allen Xue. May 3, 2007. 1.1 The Neumann Boundary Condition
MAT 280: Laplacian Eigenfunctions: Theory, Applications, and Computations Lecture 11: Laplacian Eigenvalue Problems for General Domains III. Completeness of a Set of Eigenfunctions and the Justification
More informationShape Optimization Problems over Classes of Convex Domains
Shape Optimization Problems over Classes of Convex Domains Giuseppe BUTTAZZO Dipartimento di Matematica Via Buonarroti, 2 56127 PISA ITALY e-mail: buttazzo@sab.sns.it Paolo GUASONI Scuola Normale Superiore
More informationTHE BANACH CONTRACTION PRINCIPLE. Contents
THE BANACH CONTRACTION PRINCIPLE ALEX PONIECKI Abstract. This paper will study contractions of metric spaces. To do this, we will mainly use tools from topology. We will give some examples of contractions,
More informationClass Meeting # 1: Introduction to PDEs
MATH 18.152 COURSE NOTES - CLASS MEETING # 1 18.152 Introduction to PDEs, Fall 2011 Professor: Jared Speck Class Meeting # 1: Introduction to PDEs 1. What is a PDE? We will be studying functions u = u(x
More informationDIRICHLET S PROBLEM WITH ENTIRE DATA POSED ON AN ELLIPSOIDAL CYLINDER. 1. Introduction
DIRICHLET S PROBLEM WITH ENTIRE DATA POSED ON AN ELLIPSOIDAL CYLINDER DMITRY KHAVINSON, ERIK LUNDBERG, HERMANN RENDER. Introduction A function u is said to be harmonic if u := n j= 2 u = 0. Given a domain
More informationMetric Spaces. Chapter 7. 7.1. Metrics
Chapter 7 Metric Spaces A metric space is a set X that has a notion of the distance d(x, y) between every pair of points x, y X. The purpose of this chapter is to introduce metric spaces and give some
More informationIrreducibility criteria for compositions and multiplicative convolutions of polynomials with integer coefficients
DOI: 10.2478/auom-2014-0007 An. Şt. Univ. Ovidius Constanţa Vol. 221),2014, 73 84 Irreducibility criteria for compositions and multiplicative convolutions of polynomials with integer coefficients Anca
More informationSome remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator
Wan Boundary Value Problems (2015) 2015:239 DOI 10.1186/s13661-015-0508-0 R E S E A R C H Open Access Some remarks on Phragmén-Lindelöf theorems for weak solutions of the stationary Schrödinger operator
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More information1. Prove that the empty set is a subset of every set.
1. Prove that the empty set is a subset of every set. Basic Topology Written by Men-Gen Tsai email: b89902089@ntu.edu.tw Proof: For any element x of the empty set, x is also an element of every set since
More informationAbout the inverse football pool problem for 9 games 1
Seventh International Workshop on Optimal Codes and Related Topics September 6-1, 013, Albena, Bulgaria pp. 15-133 About the inverse football pool problem for 9 games 1 Emil Kolev Tsonka Baicheva Institute
More informationON THE NUMBER OF REAL HYPERSURFACES HYPERTANGENT TO A GIVEN REAL SPACE CURVE
Illinois Journal of Mathematics Volume 46, Number 1, Spring 2002, Pages 145 153 S 0019-2082 ON THE NUMBER OF REAL HYPERSURFACES HYPERTANGENT TO A GIVEN REAL SPACE CURVE J. HUISMAN Abstract. Let C be a
More informationWHEN DOES A RANDOMLY WEIGHTED SELF NORMALIZED SUM CONVERGE IN DISTRIBUTION?
WHEN DOES A RANDOMLY WEIGHTED SELF NORMALIZED SUM CONVERGE IN DISTRIBUTION? DAVID M MASON 1 Statistics Program, University of Delaware Newark, DE 19717 email: davidm@udeledu JOEL ZINN 2 Department of Mathematics,
More informationExtremal equilibria for reaction diffusion equations in bounded domains and applications.
Extremal equilibria for reaction diffusion equations in bounded domains and applications. Aníbal Rodríguez-Bernal Alejandro Vidal-López Departamento de Matemática Aplicada Universidad Complutense de Madrid,
More informationMax-Min Representation of Piecewise Linear Functions
Beiträge zur Algebra und Geometrie Contributions to Algebra and Geometry Volume 43 (2002), No. 1, 297-302. Max-Min Representation of Piecewise Linear Functions Sergei Ovchinnikov Mathematics Department,
More informationExistence de solutions à support compact pour un problème elliptique quasilinéaire
Existence de solutions à support compact pour un problème elliptique quasilinéaire Jacques Giacomoni, Habib Mâagli, Paul Sauvy Université de Pau et des Pays de l Adour, L.M.A.P. Faculté de sciences de
More informationReal Roots of Univariate Polynomials with Real Coefficients
Real Roots of Univariate Polynomials with Real Coefficients mostly written by Christina Hewitt March 22, 2012 1 Introduction Polynomial equations are used throughout mathematics. When solving polynomials
More informationBANACH AND HILBERT SPACE REVIEW
BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but
More information1. Introduction. PROPER HOLOMORPHIC MAPPINGS BETWEEN RIGID POLYNOMIAL DOMAINS IN C n+1
Publ. Mat. 45 (2001), 69 77 PROPER HOLOMORPHIC MAPPINGS BETWEEN RIGID POLYNOMIAL DOMAINS IN C n+1 Bernard Coupet and Nabil Ourimi Abstract We describe the branch locus of proper holomorphic mappings between
More informationn k=1 k=0 1/k! = e. Example 6.4. The series 1/k 2 converges in R. Indeed, if s n = n then k=1 1/k, then s 2n s n = 1 n + 1 +...
6 Series We call a normed space (X, ) a Banach space provided that every Cauchy sequence (x n ) in X converges. For example, R with the norm = is an example of Banach space. Now let (x n ) be a sequence
More informationQuasi Contraction and Fixed Points
Available online at www.ispacs.com/jnaa Volume 2012, Year 2012 Article ID jnaa-00168, 6 Pages doi:10.5899/2012/jnaa-00168 Research Article Quasi Contraction and Fixed Points Mehdi Roohi 1, Mohsen Alimohammady
More informationFINITE DIMENSIONAL ORDERED VECTOR SPACES WITH RIESZ INTERPOLATION AND EFFROS-SHEN S UNIMODULARITY CONJECTURE AARON TIKUISIS
FINITE DIMENSIONAL ORDERED VECTOR SPACES WITH RIESZ INTERPOLATION AND EFFROS-SHEN S UNIMODULARITY CONJECTURE AARON TIKUISIS Abstract. It is shown that, for any field F R, any ordered vector space structure
More informationFollow links for Class Use and other Permissions. For more information send email to: permissions@pupress.princeton.edu
COPYRIGHT NOTICE: Ariel Rubinstein: Lecture Notes in Microeconomic Theory is published by Princeton University Press and copyrighted, c 2006, by Princeton University Press. All rights reserved. No part
More informationResearch Article Stability Analysis for Higher-Order Adjacent Derivative in Parametrized Vector Optimization
Hindawi Publishing Corporation Journal of Inequalities and Applications Volume 2010, Article ID 510838, 15 pages doi:10.1155/2010/510838 Research Article Stability Analysis for Higher-Order Adjacent Derivative
More informationNONLOCAL PROBLEMS WITH NEUMANN BOUNDARY CONDITIONS
NONLOCAL PROBLEMS WITH NEUMANN BOUNDARY CONDITIONS SERENA DIPIERRO, XAVIER ROS-OTON, AND ENRICO VALDINOCI Abstract. We introduce a new Neumann problem for the fractional Laplacian arising from a simple
More informationContinued Fractions and the Euclidean Algorithm
Continued Fractions and the Euclidean Algorithm Lecture notes prepared for MATH 326, Spring 997 Department of Mathematics and Statistics University at Albany William F Hammond Table of Contents Introduction
More informationMetric Spaces. Chapter 1
Chapter 1 Metric Spaces Many of the arguments you have seen in several variable calculus are almost identical to the corresponding arguments in one variable calculus, especially arguments concerning convergence
More informationA SURGERY RESULT FOR THE SPECTRUM OF THE DIRICHLET LAPLACIAN. Keywords: shape optimization, eigenvalues, Dirichlet Laplacian
A SURGERY RESULT FOR THE SPECTRUM OF THE DIRICHLET LAPLACIA DORI BUCUR AD DARIO MAZZOLEI Abstract. In this paper we give a method to geometrically modify an open set such that the first k eigenvalues of
More informationFIRST YEAR CALCULUS. Chapter 7 CONTINUITY. It is a parabola, and we can draw this parabola without lifting our pencil from the paper.
FIRST YEAR CALCULUS WWLCHENW L c WWWL W L Chen, 1982, 2008. 2006. This chapter originates from material used by the author at Imperial College, University of London, between 1981 and 1990. It It is is
More informationFixed Point Theorems
Fixed Point Theorems Definition: Let X be a set and let T : X X be a function that maps X into itself. (Such a function is often called an operator, a transformation, or a transform on X, and the notation
More informationThe Heat Equation. Lectures INF2320 p. 1/88
The Heat Equation Lectures INF232 p. 1/88 Lectures INF232 p. 2/88 The Heat Equation We study the heat equation: u t = u xx for x (,1), t >, (1) u(,t) = u(1,t) = for t >, (2) u(x,) = f(x) for x (,1), (3)
More informationMathematics for Econometrics, Fourth Edition
Mathematics for Econometrics, Fourth Edition Phoebus J. Dhrymes 1 July 2012 1 c Phoebus J. Dhrymes, 2012. Preliminary material; not to be cited or disseminated without the author s permission. 2 Contents
More information2.3 Convex Constrained Optimization Problems
42 CHAPTER 2. FUNDAMENTAL CONCEPTS IN CONVEX OPTIMIZATION Theorem 15 Let f : R n R and h : R R. Consider g(x) = h(f(x)) for all x R n. The function g is convex if either of the following two conditions
More informationFuzzy Differential Systems and the New Concept of Stability
Nonlinear Dynamics and Systems Theory, 1(2) (2001) 111 119 Fuzzy Differential Systems and the New Concept of Stability V. Lakshmikantham 1 and S. Leela 2 1 Department of Mathematical Sciences, Florida
More informationTail inequalities for order statistics of log-concave vectors and applications
Tail inequalities for order statistics of log-concave vectors and applications Rafał Latała Based in part on a joint work with R.Adamczak, A.E.Litvak, A.Pajor and N.Tomczak-Jaegermann Banff, May 2011 Basic
More informationTriangle deletion. Ernie Croot. February 3, 2010
Triangle deletion Ernie Croot February 3, 2010 1 Introduction The purpose of this note is to give an intuitive outline of the triangle deletion theorem of Ruzsa and Szemerédi, which says that if G = (V,
More informationF. ABTAHI and M. ZARRIN. (Communicated by J. Goldstein)
Journal of Algerian Mathematical Society Vol. 1, pp. 1 6 1 CONCERNING THE l p -CONJECTURE FOR DISCRETE SEMIGROUPS F. ABTAHI and M. ZARRIN (Communicated by J. Goldstein) Abstract. For 2 < p
More informationSHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH
31 Kragujevac J. Math. 25 (2003) 31 49. SHARP BOUNDS FOR THE SUM OF THE SQUARES OF THE DEGREES OF A GRAPH Kinkar Ch. Das Department of Mathematics, Indian Institute of Technology, Kharagpur 721302, W.B.,
More informationLimits and Continuity
Math 20C Multivariable Calculus Lecture Limits and Continuity Slide Review of Limit. Side limits and squeeze theorem. Continuous functions of 2,3 variables. Review: Limits Slide 2 Definition Given a function
More informationFACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization
More informationWalrasian Demand. u(x) where B(p, w) = {x R n + : p x w}.
Walrasian Demand Econ 2100 Fall 2015 Lecture 5, September 16 Outline 1 Walrasian Demand 2 Properties of Walrasian Demand 3 An Optimization Recipe 4 First and Second Order Conditions Definition Walrasian
More informationAdvanced Microeconomics
Advanced Microeconomics Ordinal preference theory Harald Wiese University of Leipzig Harald Wiese (University of Leipzig) Advanced Microeconomics 1 / 68 Part A. Basic decision and preference theory 1 Decisions
More information4 Lyapunov Stability Theory
4 Lyapunov Stability Theory In this section we review the tools of Lyapunov stability theory. These tools will be used in the next section to analyze the stability properties of a robot controller. We
More informationON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE. 1. Introduction
ON COMPLETELY CONTINUOUS INTEGRATION OPERATORS OF A VECTOR MEASURE J.M. CALABUIG, J. RODRÍGUEZ, AND E.A. SÁNCHEZ-PÉREZ Abstract. Let m be a vector measure taking values in a Banach space X. We prove that
More informationParabolic Equations. Chapter 5. Contents. 5.1.2 Well-Posed Initial-Boundary Value Problem. 5.1.3 Time Irreversibility of the Heat Equation
7 5.1 Definitions Properties Chapter 5 Parabolic Equations Note that we require the solution u(, t bounded in R n for all t. In particular we assume that the boundedness of the smooth function u at infinity
More informationON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING. 0. Introduction
ON SEQUENTIAL CONTINUITY OF COMPOSITION MAPPING Abstract. In [1] there was proved a theorem concerning the continuity of the composition mapping, and there was announced a theorem on sequential continuity
More informationAdaptive Online Gradient Descent
Adaptive Online Gradient Descent Peter L Bartlett Division of Computer Science Department of Statistics UC Berkeley Berkeley, CA 94709 bartlett@csberkeleyedu Elad Hazan IBM Almaden Research Center 650
More informationAn example of a computable
An example of a computable absolutely normal number Verónica Becher Santiago Figueira Abstract The first example of an absolutely normal number was given by Sierpinski in 96, twenty years before the concept
More informationUNIVERSITETET I OSLO
NIVERSITETET I OSLO Det matematisk-naturvitenskapelige fakultet Examination in: Trial exam Partial differential equations and Sobolev spaces I. Day of examination: November 18. 2009. Examination hours:
More informationMATH 4330/5330, Fourier Analysis Section 11, The Discrete Fourier Transform
MATH 433/533, Fourier Analysis Section 11, The Discrete Fourier Transform Now, instead of considering functions defined on a continuous domain, like the interval [, 1) or the whole real line R, we wish
More informationStudent Outcomes. Lesson Notes. Classwork. Discussion (10 minutes)
NYS COMMON CORE MATHEMATICS CURRICULUM Lesson 5 8 Student Outcomes Students know the definition of a number raised to a negative exponent. Students simplify and write equivalent expressions that contain
More informationMATH1231 Algebra, 2015 Chapter 7: Linear maps
MATH1231 Algebra, 2015 Chapter 7: Linear maps A/Prof. Daniel Chan School of Mathematics and Statistics University of New South Wales danielc@unsw.edu.au Daniel Chan (UNSW) MATH1231 Algebra 1 / 43 Chapter
More informationUndergraduate Notes in Mathematics. Arkansas Tech University Department of Mathematics
Undergraduate Notes in Mathematics Arkansas Tech University Department of Mathematics An Introductory Single Variable Real Analysis: A Learning Approach through Problem Solving Marcel B. Finan c All Rights
More informationCHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e.
CHAPTER II THE LIMIT OF A SEQUENCE OF NUMBERS DEFINITION OF THE NUMBER e. This chapter contains the beginnings of the most important, and probably the most subtle, notion in mathematical analysis, i.e.,
More informationRESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS
RESONANCES AND BALLS IN OBSTACLE SCATTERING WITH NEUMANN BOUNDARY CONDITIONS T. J. CHRISTIANSEN Abstract. We consider scattering by an obstacle in R d, d 3 odd. We show that for the Neumann Laplacian if
More informationSolutions for Practice problems on proofs
Solutions for Practice problems on proofs Definition: (even) An integer n Z is even if and only if n = 2m for some number m Z. Definition: (odd) An integer n Z is odd if and only if n = 2m + 1 for some
More informationIdeal Class Group and Units
Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals
More informationMATH PROBLEMS, WITH SOLUTIONS
MATH PROBLEMS, WITH SOLUTIONS OVIDIU MUNTEANU These are free online notes that I wrote to assist students that wish to test their math skills with some problems that go beyond the usual curriculum. These
More informationPractice with Proofs
Practice with Proofs October 6, 2014 Recall the following Definition 0.1. A function f is increasing if for every x, y in the domain of f, x < y = f(x) < f(y) 1. Prove that h(x) = x 3 is increasing, using
More informationKATO S INEQUALITY UP TO THE BOUNDARY. Contents 1. Introduction 1 2. Properties of functions in X 4 3. Proof of Theorem 1.1 6 4.
KATO S INEQUALITY UP TO THE BOUNDARY HAÏM BREZIS(1),(2) AND AUGUSTO C. PONCE (3) Abstract. We show that if u is a finite measure in then, under suitable assumptions on u near, u + is also a finite measure
More informationTHE CENTRAL LIMIT THEOREM TORONTO
THE CENTRAL LIMIT THEOREM DANIEL RÜDT UNIVERSITY OF TORONTO MARCH, 2010 Contents 1 Introduction 1 2 Mathematical Background 3 3 The Central Limit Theorem 4 4 Examples 4 4.1 Roulette......................................
More informationLinear Programming Notes V Problem Transformations
Linear Programming Notes V Problem Transformations 1 Introduction Any linear programming problem can be rewritten in either of two standard forms. In the first form, the objective is to maximize, the material
More informationRandom graphs with a given degree sequence
Sourav Chatterjee (NYU) Persi Diaconis (Stanford) Allan Sly (Microsoft) Let G be an undirected simple graph on n vertices. Let d 1,..., d n be the degrees of the vertices of G arranged in descending order.
More informationMA651 Topology. Lecture 6. Separation Axioms.
MA651 Topology. Lecture 6. Separation Axioms. This text is based on the following books: Fundamental concepts of topology by Peter O Neil Elements of Mathematics: General Topology by Nicolas Bourbaki Counterexamples
More informationA class of infinite dimensional stochastic processes
A class of infinite dimensional stochastic processes John Karlsson Linköping University CRM Barcelona, July 7, 214 Joint work with Jörg-Uwe Löbus John Karlsson (Linköping University) Infinite dimensional
More informationMATH 289 PROBLEM SET 4: NUMBER THEORY
MATH 289 PROBLEM SET 4: NUMBER THEORY 1. The greatest common divisor If d and n are integers, then we say that d divides n if and only if there exists an integer q such that n = qd. Notice that if d divides
More informationDiscussion on the paper Hypotheses testing by convex optimization by A. Goldenschluger, A. Juditsky and A. Nemirovski.
Discussion on the paper Hypotheses testing by convex optimization by A. Goldenschluger, A. Juditsky and A. Nemirovski. Fabienne Comte, Celine Duval, Valentine Genon-Catalot To cite this version: Fabienne
More informationMathematical Methods of Engineering Analysis
Mathematical Methods of Engineering Analysis Erhan Çinlar Robert J. Vanderbei February 2, 2000 Contents Sets and Functions 1 1 Sets................................... 1 Subsets.............................
More informationBuy Low and Sell High
Buy Low and Sell High Min Dai Hanqing Jin Yifei Zhong Xun Yu Zhou This version: Sep 009 Abstract In trading stocks investors naturally aspire to buy low and sell high (BLSH). This paper formalizes the
More informationSome Problems of Second-Order Rational Difference Equations with Quadratic Terms
International Journal of Difference Equations ISSN 0973-6069, Volume 9, Number 1, pp. 11 21 (2014) http://campus.mst.edu/ijde Some Problems of Second-Order Rational Difference Equations with Quadratic
More informationPUTNAM TRAINING POLYNOMIALS. Exercises 1. Find a polynomial with integral coefficients whose zeros include 2 + 5.
PUTNAM TRAINING POLYNOMIALS (Last updated: November 17, 2015) Remark. This is a list of exercises on polynomials. Miguel A. Lerma Exercises 1. Find a polynomial with integral coefficients whose zeros include
More informationMath 120 Final Exam Practice Problems, Form: A
Math 120 Final Exam Practice Problems, Form: A Name: While every attempt was made to be complete in the types of problems given below, we make no guarantees about the completeness of the problems. Specifically,
More informationBipan Hazarika ON ACCELERATION CONVERGENCE OF MULTIPLE SEQUENCES. 1. Introduction
F A S C I C U L I M A T H E M A T I C I Nr 51 2013 Bipan Hazarika ON ACCELERATION CONVERGENCE OF MULTIPLE SEQUENCES Abstract. In this article the notion of acceleration convergence of double sequences
More informationDIFFERENTIABILITY OF COMPLEX FUNCTIONS. Contents
DIFFERENTIABILITY OF COMPLEX FUNCTIONS Contents 1. Limit definition of a derivative 1 2. Holomorphic functions, the Cauchy-Riemann equations 3 3. Differentiability of real functions 5 4. A sufficient condition
More informationOberwolfach Preprints
Oberwolfach Preprints OWP 2009-10 BERND KAWOHL AND NIKOLAI KUTEV A Study on Gradient Blow up for Viscosity Solutions of Fully Nonlinear, Uniformly Elliptic Equations Mathematisches Forschungsinstitut Oberwolfach
More informationMATH10040 Chapter 2: Prime and relatively prime numbers
MATH10040 Chapter 2: Prime and relatively prime numbers Recall the basic definition: 1. Prime numbers Definition 1.1. Recall that a positive integer is said to be prime if it has precisely two positive
More informationSome stability results of parameter identification in a jump diffusion model
Some stability results of parameter identification in a jump diffusion model D. Düvelmeyer Technische Universität Chemnitz, Fakultät für Mathematik, 09107 Chemnitz, Germany Abstract In this paper we discuss
More informationAsian Option Pricing Formula for Uncertain Financial Market
Sun and Chen Journal of Uncertainty Analysis and Applications (215) 3:11 DOI 1.1186/s4467-15-35-7 RESEARCH Open Access Asian Option Pricing Formula for Uncertain Financial Market Jiajun Sun 1 and Xiaowei
More informationCURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC. 1. Introduction
Acta Math. Univ. Comenianae Vol. LXXXI, 1 (2012), pp. 71 77 71 CURVES WHOSE SECANT DEGREE IS ONE IN POSITIVE CHARACTERISTIC E. BALLICO Abstract. Here we study (in positive characteristic) integral curves
More informationTOPIC 4: DERIVATIVES
TOPIC 4: DERIVATIVES 1. The derivative of a function. Differentiation rules 1.1. The slope of a curve. The slope of a curve at a point P is a measure of the steepness of the curve. If Q is a point on the
More informationThe Ideal Class Group
Chapter 5 The Ideal Class Group We will use Minkowski theory, which belongs to the general area of geometry of numbers, to gain insight into the ideal class group of a number field. We have already mentioned
More information