UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS TO DISCRETE MORSE FLOWS

Size: px
Start display at page:

Download "UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS TO DISCRETE MORSE FLOWS"

Transcription

1 Internationa Journa of Pure and Appied Mathematics Voume 67 No., 93-3 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS TO DISCRETE MORSE FLOWS Yoshihiko Yamaura Department of Mathematics Coege of Humanities and Sciences Nihon University 3-5-4, Sakurajosui, Setagaya-ku, Tokyo, , JAPAN e-mai: Abstract: The present paper shows Lipschitz continuity of discrete Morse (variationa) fows to the reguarized At-Caffarei variationa functiona generating free boundaries; the continuity is uniform with respect to the discrete Morse fows and the reguarization. Together with the uniform Höder continuity shown in another paper, it is possibe to construct Morse fows, which wi be deat with a forthcoming paper. AMS Subject Cassification: 35J Key Words: Bernstein method, Rothe s scheme, discrete Morse fows. Introduction Our main objective is to construct Morse fows of the functiona introduced by At and Caffarei () which induces a free boundary probem. For this purpose, the author has tried to appy the method of discrete Morse fows deivered in the paper Kikuchi 5, the argument of which reies ony on the variationa structure. However, because of the difficuty caused by the singuarity contained in the functiona, the tria is not competed. We adopt in this paper the reguarized method used in Caffarei et a 3, where we are abe to make use of some properties of differentia equations. We describe in this paper a proof of uniform Lipschitz continuity for the space variabe of soutions to discrete Morse fows of a reguarized functiona. The assertion and the outine of the proof has been stated in Yamaura 7 whose main resut is the uniform Höder continuity Received: December 7, c Academic Pubications

2 94 Y. Yamaura for the time variabe. Since these two uniform continuities are not dependent on approximate soutions, our main objective stated above is estabished, the proof of which sha be stated in another paper. For a positive integer m, R m is a m-dimensiona Eucidean space. For a = (a,a,...,a m ), b = (b,b,...,b m ) R m, a,b is inner product of a and m b defined by a,b = a j b j. L m is an m-dimensiona Lebesgue measure. For j= a function f defined on R m, we denote by spt f the support of f. We use the standard notation for the Lebesgue and Soboev spaces L p (R m ), p and W k,p (R m ), k N, p, equipped with the norms L p (R m ), W k,p (R m ), respectivey. We aso use the notation H k (R m ) instead of W k, (R m ). L oc(r m ) is the metric space of functions whose square is ocay integrabe in R m. We sha state the At-Caffarei functiona and the discrete Morse fow method to this functiona. The At-Caffarei functiona AC : H (R m ) R is defined by ( ) AC(u) := u + χ(u) dx, R m where χ : R R is the characteristic function of open interva,, that is, for r, χ(r) := for r >. In the construction of Morse fows to functiona AC, the paper Caffarei et a 3, introduced a reguarized functiona: ( ) AC ε (u) := u + χ ε (u) dx, R m where ε is a positive number and χ ε is a reguarization of function χ. The precise definition of the reguarization wi be given in Section. Let u be a given function satisfying the foowing conditions: (i) u W, (R m ) W, (R m ) C,α (R m ) for some α,, (ii) L m (spt u ) < +, () (iii) u in R m, where symbo spt u denotes the support set of function u. The scheme of the discrete Morse fow method to the construction of Morse fows to variationa functiona AC ε is formuated in the foowing: give an initia data u, we inductivey introduce two sets u ε n} n= and ACε n} n= of functions

3 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS and functionas as foows: for each u ε n (n =,,... ), we introduce a variationa functiona AC ε n given by AC ε n(u) = AC ε (u) + u u ε h n dx R m and define u ε n (n =,,... ) as a minimizer of AC ε n in H (R m ). Here h is an arbitrariy fixed positive number. The minimizer u ε n satisfies Euer-Lagrange equations of AC ε n in the form: u ε n u ε n h = AC ε (u ε n ) in H (R m ). By use of the famiy u ε n} n= of minimizers together with the given u, we generate an h-step function u ε : h, H (R m ) by the scheme: u ε u for h t, (t) = u ε n for t n < t t n (n =,,... ). The function u ε is constructed with resort to the minimaity of introduced functionas AC ε n} n=, and named a discrete Morse fow to the functiona ACε ( ) and is sometimes represented in the form: u ε := u ε n } n=. Remark. (Existence of Discrete Morse Fow) The existence of minimizer to variationa probem AC ε n in H (R m ) is shown by the ower semi-continuity of AC ε n with respect to the weak convergence in H (R m ). We remark that AC ε n (uε n ) < + for each n =,,... is verified by taking the -function as a comparison function with the minimizer u ε n. The Lipschitz estimate asserted in this paper is stated in the foowing Theorem, in the proof of which we use the Bernstein method. We note the estimates asserted in the foowing theorem is vaid with no dependence on parameters h nor ε. Theorem. (Uniform Gradient Bound) Let (u ε n) be a discrete Morse fow to AC ε. Then there exists a universa positive constant L depending on M = sup(χ + χ ) and u L (R m ) such that R u ε n L (R m ) L for n =,,,.... ()

4 96 Y. Yamaura. Preiminaries We need to introduce a reguarization of the characteristic function χ so as to be usefu in the proof of Theorem based on the Bernstein method. Lemma. (Approximation of χ) There exists a function χ : R R such that the foowing conditions hod. χ C (R) (3) in, χ = (4) in,+ χ in R (5) χ > in, (6) χ χ in, (7) χ = χ in,+ (8) Proof. We define a C (R)-function γ as foows: for r, γ(r) := e r for r >. In addition, we define for r 3 6, ϕ(r) := 8r + 5 for 3 6 r 5 6, for r 5 6. Let ϕ be a one-dimensiona 6-moified function of ϕ, namey, we define ϕ(τ) := η σ (τ ξ) ϕ(ξ)dξ with σ = 6, R where η σ is the standard moifier (see for instance Evans et a 4, p. ). We set β(r) = γ(r)ϕ(r) (r R). Finay, we define χ (r) := r + β(τ)dτ βdl for r R (9)

5 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS The function χ defined in such a way satisfies the properties stated in Lemma. We state ony the proof of (7) which is non-trivia. For the purpose, owing to (3), it is enough to show the desired inequaity ony on the interva,. For r,, the equaity β(r) = e r hods, and so χ + (r) = β (r) e r + βdl = βdl = r e r + β(r) + βdl = βdl = χ (r), where we used the inequaity r. In the foowing of this paper, we et ε be a positive constant ess than, and we define ( r ) χ ε (r) := χ for r R. () ε Then, χ ε have the foowing properties : Lemma. (Properties of χ ε )Let χ ε ( ) be as in (). Then χ ε ( ) C (R). () χ ε in R. () χ ε in R, χ ε > in,ε. (3) for r,, χ ε (r) = (4) for r ε,+. There exists a positive number K such that (5) χ ε K ε, χ ε K ε in R. (6) Proof. The assertions () (4) are shown directy from the properties of χ isted in Lemma. The assertion (6) hod by setting K := max χ L (R), χ L (R)}. Here we notice that K is finite because both χ and χ is continuous and their supports are compact in R. In the proof based on the Bernstein method, a differentiabiity of soutions is needed.

6 98 Y. Yamaura Remark. (Euer-Lagrange Equation) Let (u ε n ) be a discrete Morse fow to AC ε. Then for each n, the function u ε n W, (R m ) is a weak soution of the Partia Differentia Equation u χ ε (u) u uε n (x) h = in R m. In addition, it hods for each n that u ε n C 3 (R m ). Proof. We show ony the reguarity. The case where m =. By Remark, u = u ε satisfies ( u ζ dx = χ ε(u) + u u ) ζ dx for ζ Cc (R). h R R Therefore, u ε is twice weak differentiabe, and the second weak derivative is represented as (u ε ) = χ ε(u ε ) + uε u. (7) h Since from Soboev imbedding theorem u,u ε C, (R). Hence, the right-side of (7) is a continuous function, and hence we have (u ε ) C (R). We thus obtain (u ε ) C (R), and so u ε C (R). Combining this fact with the initia condition u C,α (R), the right-side of (7) is turned out to be a C (R)- function, and as a resut we obtain u ε C3 (R). Having showed u ε C3 (R) C,α (R), we can repeat the above argument by repacing u with u ε in order to prove the assertion with n =. Finay, by induction we accompish the proof in the case where m =. The case where m. In this case, the assertion is shown by directy invoking the reguarity resut Ladyzhenskaya et a 6, p. 84, Theorem 6.4 in the domain B R () for any R >. 3. The Construction of C -diffeomorphism φ The proof of Theorem is based on the Bernstein method, which is estabished by the carefu choice of transformation φ as introduced in this section. Proposition. (The Construction of φ) There exist a function φ :,+,+, and positive numbers r > og 3 and b > such that the foowing properties hod: φ C,+, (8)

7 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS φ in,+, (9) ( φ() =, φ og 3 ) =, φ(r ) =, () φ,og 3 (r) = er for r,og 3, () φ r,+ b in r,+, () φ,og 3 C,og 3, (3) φ r,+ C r,+, (4) φ og 3,r C og 3,r, (5) φ in og 3,r, (6) Set Φ := φ φ in,. Then Φ 3 in og 3,r. (7) Here, we remark that the function Φ is we-defined since φ > in,+ (see Coroary beow). Before showing Proposition, we show properties of φ which are ed directy from Proposition. Coroary. (The Properties of φ) The function φ as in Proposition satisfies the properties isted beow. φ is nondecreasing in,+, (8) φ b in,+, (9) φ 3 in og 3,+, (3) φ ( ) is non increasing in og 3 ),+, (3) φ 3 in og 3,,+ (3) φ is bounded in,+. (33) There exists an inverse function φ :,+,+, so that φ C,+, φ, C,, φ, C,, φ,+ C,+. (34)

8 Y. Yamaura The function Φ defined as in Proposition satisfies Φ is differentiabe in,+ \ og 3 },r, and Φ, (35) Φ cannot be differentiabe at r = og 3,r, (36) Φ is non increasing in,+, (37) Φ in,+, (38) Φ(A) φ(a) φ(b) φ (A) φ (B) (39) for A,B,+ Proof. We show ony the inequaity (39), for other assertions are easiy checked by the eementary argument based on the properties stated in Proposition. In order to show (39), we set for A,B,+ I(A,B) := Φ(A) φ(a) φ(b) φ (A) φ (B). In case A = B, it hods that I(A,B) =, and so the inequaity surey hods. Hence, in the foowing, we assume that A B. We proceed our proof by dividing the argument according to the vaue of A and B as foows: (case) A,B,og 3. Since φ (r) = φ (r) = e r for r,og 3, and so I(A,B) = ea e A e A e B e A e B =. (case) A,B og 3,+. By appying the mean vaue theorem in the cosed interva with the endpoints A and B, there exist θ and θ, such that I(A,B) = φ (A) φ (A) φ ( θa + ( θ)b ) A B φ ( θa + ( θ)b ) A B. (a) The case where B < A. The inequaity θa + ( θ)b A impies that φ (θa + ( θ)b) φ (A), because φ is nondecreasing by (8). Since from (38) it hods that φ (A) φ (A), we have φ (A) φ (A) (A B). Hence we can estimate I(A,B) φ (A) φ ( θa + ( θ)b) } (A B). The first factor of the ast-side is nonpositive because θa + ( θ)b A and that φ is noninceasing in og 3,+ by (3). We thus obtain I(A,B).

9 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... (b) The case where A B. We are abe to show in the same way as in (a). (case 3) A,og 3 and B og 3,+. We first notice that I(A, B) ( = I A,og 3 ) + φ (A) φ (A) ( φ og 3 ) φ(b) φ ( og 3 ) } φ (B). (4) Owing to (case ), we have known I(A,og 3 ) =. Moreover, for φ (A), we have I(A,B) = ( φ og 3 ) φ(b) φ ( og 3 ) φ (B). By appying the mean vaue theorem, there exist θ, θ, such that φ (A) = ea = e A I(A,B) = = φ ( θ og 3 ) + ( θ)b φ ( θ 3 ) og + ( θ B }(og 3 ) B. Therefore, by recaing that φ 3 φ in og 3,+ from (3) and (3), we obtain I(A,B). (case 4) B,og 3 and A og 3,+. We can start from (4). In this case, using (case ), we have I(A,og 3 ), and hence I(A,B) φ (A) φ (A) = ( φ og 3 ) φ(b) φ ( og 3 ) φ (B) = ( φ (A) φ (A) ) ( 3 eb). The ast-side is nonnegative due to (38). In order to construct a function φ as in Proposition, we have ony to define a function φ on the interva og 3,r such that a conditions in Proposition are fufied. For this purpose, we construct a function ζ as foows: Lemma 3. (The Construction of ζ) There exists a positive number r and a function ζ C (R) satisfying the properties isted beow. ζ() =, ζ () = 3, ζ () = 3, (4) ζ(r ) =, ζ (r ) =, (4) ζ in,r, (43)

10 Y. Yamaura ζ in,r, (44) ( ζ ) 3 ζ in,r. (45) We remark that the function ζ ζ is we-defined in,r, because it hods from (4) that ζ () = 3, and from (43) that ζ,r. Therefore, ζ (r) ζ () = 3 > for r,r. If we use Lemma 3, then Proposition can be shown by defining r := og 3 + r, b := ζ (r ) and e r if r,og 3, φ(r) := ζ(r og 3 ) + if r og 3,r, b(r r ) + if r r,+. Proof of Lemma 3. Let α( ) be a function in C (R). Then we consider the foowing initia probem of ODE: ( ζ ) = α in R, ζ ζ() =, ζ () = 3, ζ () = 3 (46). By integrating two times the given ODE and taking the initia conditions into account, the soution is written as where A α (τ) = ζ α (τ) = 3 τ By differentiating (47), we have τ e s à α (s) ds for τ R (47) α(r)dr and à α (τ) = τ A α (r)dr. ζ α(τ) = 3 eτ Ãα(τ), (48) ζ α (τ) = 3 ( A α(τ))e τ Ãα(τ), (49) ζ α (τ) = 3 } ( A α (τ)) α(τ) e τ à α (τ). (5) Now, if we define α 3 in R, then there exists a unique positive number δ < 3 such that ζ α (δ ) = 4. (5)

11 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 3 This is shown by appying the mean-vaue theorem in the interva, 3 on the basis of the facts (a) ζ α () =, ( ) (b) ζ α >, 3 (5) (c) ζ α > in,. 3 The equaity (a) is nothing but the initia condition, whie (c) is obtained by (48). The inequaity (b) is shown as foows: Since A α (τ) < for τ, 3, we have from (49) that ζ α (τ) > for τ, 3. Thus, ζ α is stricty increasing on, 3. Therefore, ζ α (τ) > ζ α () = 3 for τ, 3. By integrating the ast inequaity from to 3, and recaing ζ α () =, we have (b). We set for λ 3 for τ,δ α λ (τ) λe τ δ + 3 for τ δ,+, where δ is a positive constant as in (5). In case λ =, this function coincides with α 3 defined aready. Then, there exists a unique τ α λ δ, 3 such that A αλ (τ αλ ) = ταλ α λ dτ =. (53) This fact is shown by appying the mean-vaue theorem because A αλ is stricty increasing on,, A αλ (δ ) < and A αλ ( 3 ). We here notice that in case λ =, τ α = 3. (54) Now, et us show that there exists a unique λ,+ such that ζ αλ (τ αλ ) =. (55) To prove this we investigate the continuity and monotonicity of λ τ αλ and λ ζ αλ (τ αλ ). Fact. The function λ,+ τ αλ satisfies the foowing properties: λ τ αλ is stricty decreasing on,+. (56) λ τ αλ is continuous on,+. (57) im τ α λ = δ. (58) λ

12 4 Y. Yamaura Proof. (56): Let < λ < Λ. Then α Λ α λ in R and α Λ α λ in δ,. Hence, ταλ α Λ dτ ταλ α λ dτ =. τ αλ is a positive number such that τ αλ α Λ dτ =, and hence it must hod that τ αλ < τ αλ. (57) : We show ony the continuity at λ =, because the continuity at λ > is shown in the same way. From (i), we have im τ αλ τ α. Moreover λ it hods that im τ αλ τ α. Otherwise, there exists a positive number σ such λ that im τ αλ = τ α σ. Then, for any λ >, λ = ταλ α λ dτ imλ τ αλ α λ dτ = τα σ α λ dτ τα α λ dτ 3 σ where we use the inequaity im λ τ αλ τ αλ (λ > ) which foows from the monotone decreasing property of λ τ αλ, and the inequaity α λ 3 in R. We thus have τα α λ dτ + 3 σ. We here et λ. Then by noting that α λ α uniformy in,τ α, we have = τα α dτ + 3 σ, which is a contradiction. (58) : Since τ αλ δ for λ, we have from (i) that δ := im λ τ α λ δ. Moreover, the reverse inequaity δ δ hods. If not, it must hod δ < δ. Then again by (i) we have τ αλ δ, and so = ταλ δ δ α λ dτ α λ dτ = λ δ δ e δ α λ dτ τ δ dτ + 3 (δ δ ). (59) The ast-side diverges as λ, and we attain a contradiction. We next investigate about the function λ ζ αλ (τ αλ ).

13 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 5 Fact. The function λ,+ ζ αλ (τ αλ ) satisfies the foowing properties: λ ζ αλ (τ αλ ) is stricty decreasing on,+. (6) λ ζ αλ (τ αλ ) is continuous on,+. (6) im ζ α λ (τ αλ ) = ζ α (δ ) = λ 4. (6) Proof. (6): Let λ < Λ < +. Then from the definition α λ α Λ in,+, and hence A αλ A αλ in,+, à αλ Ãα Λ in,+. By making use of the ast inequaity, we obtain ζ αλ (τ αλ ) 3 ταλ e s ταλ eãα λ (s)ds < 3 e s eãα λ (s)ds = ζ α λ (τ αλ ), where we used the inequaity τ αλ < τ αλ that foows from (56). (6): Let λ. Then by the definition of α λ α λ α λ uniformy in, 3 Moreover from the definition of A αλ and Ãα λ, we have as λ λ. Aαλ A αλ à αλ à αλ uniformy in, 3 as λ λ. This impies e s à α λ (s) e s à α λ (s) uniformy in, 3 as λ λ, (63) where we use the fact that A αλ and Ãα λ are uniformy bounded in, 3 as λ λ. We can estimate ταλ ταλ ταλ e s à α λ (s) ds ταλ e s à α λ (s) ds ταλ e s Ãα λ (s) e s Ãα (s) λ ds + e s à α (s) λ ds τ αλ e s à α λ (s) e s à α λ (s) ds + ταλ τ αλ e 3

14 6 Y. Yamaura By etting λ λ, the first term of the ast-side goes to zero because of (63), and the second goes to zero because τ αλ is continuous with respect to λ by (57). We thus have ζ αλ (τ αλ ) ζ αλ (τ αλ ) as λ λ. (6): Since τ αλ > δ, we have for any λ > that ζ αλ (τ αλ ) = 3 ταλ e s δ eãα λ (s)ds > 3 Here recaing that Ãα λ = Ãα in,δ, we have e s eãα λ (s)ds. Moreover, by (58) ζ αλ (τ αλ ) = 3 3 ταλ ζ αλ (τ αλ ) > 3 ταλ e s eãα δ e s e s eãα λ (s)ds (s)ds λ eãα (s)ds = ζ α (δ ). (64) 3 δ e s eãα (s)ds = ζ α (δ ) Inequaity (64) and the convergence (65) tes us that ζ αλ (τ αλ ) ζ α (δ ) as λ. Summing up the properties of the function λ ζ αλ (τ αλ ), we obtain (6), (6), (6) and ζ α (τ α ) = ζ α ( 3 ) > by (54) and (5)-(b). Thus, we are abe to appy the mean-vaue theorem, and as a resut, we obtain (55). If we choose r := τ αλ and ζ := ζ αλ on R, a the properties of Lemma are fufied. Remark 3. Let φ be a function defined as in the proof of Lemma 3. Then, we can easiy check that φ cannot be differentiabe at r = og 3 and r = r. In addition, on the inverse function φ, (φ ) cannot be differentiabe at s = = φ(og 3 ) and s = = φ(r ). 4. Uniform Gradient Bound By using the notation of piecewise constant function u ε, our main theorem in this paper Theorem is restated as foows: Lemma 4. Let u ε be a discrete Morse fow to AC ε. Then there exists a universa positive constant, independent of h and ε, such that sup u ε L. R m h,+

15 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS We state the foowing simpe emma which is used in the proof of Theorem Lemma 5. Let p. If f satisfies (A) f L p (R m ), (A) f L (R m, R m ), then the maximum vaue of f in R m is attained at some point of R m. Proof. By assumption (A), f turns out to be uniformy Lipschitz continuous in R m, which together with assumption (A) impies the boundedness of f in the whoe of the space R m. Let (x j ) R m be a maximizing sequence of sup R m f. Again by the uniform Lipschitz continuity of f and (A), sequence (x j ) turns out to be a bounded set. As a resut, we can find a desired point as a imit point of convergence subsequence of (x j ). Proof of Lemma 4 The proof is divided into five steps as foows. Step. Rescaing and transformation of u ε. The minimizer u ε n is a soution of the Euer-Lagrange equation of ACε n as foows: u ε n χ ε (uε n ) uε n uε n h = in R m for n =,,.... Therefore, h-step function u ε satisfies the foowing equation: u ε (x,t) χ ε (uε (x,t)) uε (x,t) u ε (x,t h) h for (x,t) R m,+. = (65) We rewrite (65) by using the rescaed function U ε (x,t) = ε uε (εx,ε t), where h ε := h ε. ( U ε )(x,t) χ (U ε (x,t)) Uε (x,t) U ε (x,t h ε ) h ε = for (x,t) R m,. (66) Now, et φ :,+,+ be a C -diffeomorphism as constructed in Proposition of Section 5, and set v ε (x,t) := φ ( U ε (x,t) ). Then (66) is rewritten as v ε φ (v ε ) + v ε φ (v ε ) χ (φ(vε )) φ(vε ) φ(ṽ ε ) = h ε (67) in R m,+,

16 8 Y. Yamaura where ṽ ε (x,t) := v ε (x,t h ε ). Since from (9) it hods that φ > in,+, we can divide the both sides of (67) by φ (v ε ) in order to have v ε + φ (v ε ) φ (v ε ) vε χ (φ(vε )) φ (v ε φ(v ε ) φ(ṽ ε ) ) φ (v ε = ) h ε in R m,+. (68) Step. The existence of the maximum of w ε. Let T be a positive number, and set n T as a positive integer satisfying T t nt,t nt, where t j = jh ε = j h. In the foowing, we sha show ε that for any T >, there exists a point (x,t ) R m,t such that w ε (x,t ) = max R m,t wε. For this purpose, it is sufficient to prove that for each n =,,...,n T, there exists max R m (n )h wε. In the seque, we denote ε,nh ε Un(x) ε := ε uε n(εx), vn(x) ε := φ (Un(x)) ε and wn(x) ε := vn(x) ε for x R m. Then, we have ony to show that for each n N there exists max wε n. Moreover, owing to Lemma 5 with p =, its proof is reduced to make sure the foowing two conditions: (A) : wn ε dx < + R m for n N (A) : wn ε L (R m ) < + The assertion (A) is shown by computing according to the definition of wn ε in the foowing way: wn ε dx = vn ε dx = R m R m = R m φ ( ε uε n(εx) ) dx ε m R m R m u ε n dx < +, where we used the property φ. We next show (A). By simpe computation, we can know Thus we must show w ε n L (R m ) C( u ε n L (R m ), u ε n L (R m )). A- : u ε n L (R m ) < +, A- : u ε n L (R m ) < +.

17 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 9 Since u ε n L (R m ), we can ead A- from A- with the hep of Lemma 5 with p =. Finay, we have ony to prove A-. The proof is divided into severa steps. (step) We show u H (R m ). Since u is a minimizer of the functiona F ε,h, u satisfies u u = u + χ ε (u ) + u u h in R m (69) We denote by f the right hand side of (69). If we show f L (R m ), we can reach the desired fact u H (R m ) with the hep of Brezis, p. 48, Theorem IX.5. u and u beongs to L (R m ) because these functions are W, (R m )-Soboev functions. Moreover, χ ε (u ) dx = χ ε (u ) χ ε () dx R m R m χ ε L (R) u L (R m ) < +, where we use the fact that χ ε() =. We thus have f L (R m ). (step ) We show u H 3 (R m ). By the preceding step we have shown u H (R m ), and hence we can differentiate (69) to have ( u ) u = u + ( ) u χ ε(u ) + u u. (7) h The right hand side beongs to L (R m ) for u,u W, (R m ). In the same way as in (step ), we have u H (R m ), and hence u H 3 (R m ). (step 3) We show u L (R m ). Rewrite (7) as ( ( u ) + χ ε (u ) ) = h h u. Noting the assumption u L (R m ), we appy Ladyzhenskaya 6, p. 99, Theorem 3. in any bas of radius. As a resut, we obtain esssup u C(ε,h,m, u L (R m ), u L (R m ))). (7) R m (step 4) We show u L (R m ). Since in (step ) we have aready shown u H 3 (R m ), we can differentiate (7) to have ( ( u ) + χ ε(u ) ) u = h ( u u )χ ε (u ) h u.

18 Y. Yamaura By using the assumption u L (R m ), we are abe to appy Ladyzhenskaya 6, p. 99, Theorem 3. again to obtain esssup u R m C(m,ε,h, u L (R m ), u L (R m ), u L (R m )). The conditions for u which is needed in the above argument are u W, (R m ), u L (R m ) and u L (R m ). Since these facts with u repaced by u are shown above, we can obtain the assertion A- with n =. Thus, by induction, we accompish the proof of A-. Step 3. Reduction of the concusion. In order to prove the concusion it is sufficient to verify max R m,t wε max M, sup w ε} for T >. (7) R m } This reduction is shown by noting the fact that w ε (x,t) = w ε (x,) in h ε,, and the inequaities sup w ε u L (R m ), R m } sup R m h, u ε b sup R m h ε, v ε, where b is a constant as in (). Step 4. Inequaities. Let us start the proof of (7). For this purpose, we suppose on the contrary that max R m,t wε > max M, sup w ε}. (73) R m } Let (x,t ) R m,t be a maximum point of w ε in R m,t whose existence was shown in Step. Then we can show the foowings: w ε (x,t ) >, (74) w ε (x,t ) =, (75) m w ε (x,t ) = jj w ε (x,t ), (76) j= i v ε i v ε i v ε i ṽ ε (x, (77),t )

19 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... where ṽ ε (x,t) := v ε (x,t h ε ). The expression (74) is from (73), and (74)-(76) are the eementary facts of cacuus due to the fact that (x,t ) is a maximum point. In order to prove the inequaity (77), we use the Schwarz inequaity. i v ε i v ε i v ε i ṽ ε (x,t ) } w ε (x,t ) w ε (x,t h ε ). (78) The ast inequaity is show in the foowing way. If t > h ε, then (x,t h ε ) R m,t. Therefore, by recaing that (x,t ) is a maximum point, it hods that w ε (x,t ) w ε (x,t h ε ). On the other hand, if < t h ε, from (73), w ε (x,t ) > sup w ε w ε (x,) = w ε (x,t h ε ), R m } where the ast equaity hods because h ε < t h ε. Let us show the foowing three types of inequaity. ( φ ) E(x,t ) := (φ ) (v ε )χ (φ(v ε )) χ (φ(v ε )), (79) (x,t ) ( φ ) } F(x,t ) := (φ ) (v ε )χ (φ(v ε )) χ (φ(v ε )) w ε (8) φ (ṽ ε ) ( h ε φ (V ε j v ε j v ε j v ε j ṽ ε) (x,t). h ε ) In particuar, if v ε (x,t ) og 3,r, then G(x,t ) := 3w ε + χ (φ(vε )) χ (x )) (φ(vε. (8),t ) The proof of (79)-(8): The inequaity (79) is directy foowed from (8) by making use of (77) and the fact that φ > in, ((9)). Thus, in the foowing, we sha prove ony (8) and (8). By using abbreviation Φ(r) := φ (r) φ (r), the reation (68) is rewritten in the foowing. v ε + Φ(v ε ) v ε = χ (φ(vε )) φ (v ε + φ(v ε ) φ(ṽ ε ) ) φ (v ε. (8) ) h ε For convenience of the argument beow, we sha denote by I the eft-side of (8) and by I r the right-side. Namey, we put I := v ε + Φ(v ε ) v ε, I r := χ (φ(vε )) φ (v ε + φ(v ε ) φ(ṽ ε ) ) φ (v ε. ) h ε

20 Y. Yamaura (step ) We aim at the inequaity v ε, I r (x,t ) F(x,t ). (83) Differentiating I r and mutipying the resutant by j v ε, we have ( φ j v ε j I r = j v ε j v ε χ (φ(v ε ) )) (φ ) (v ε ) j v ε j v ε χ (φ(v ε )) ( φ ) (φ ) (v ε ) j v ε j v ε φ(vε ) φ(ṽ ε ) + h ε + φ (v ε ) jv ε j v ε φ (v ε ) j v ε j ṽ ε φ (ṽ ε ) h ε at (x,t ). Let us sum this reation with respect to j from to m. Here we reca w ε = v ε, and remark that the numerator of the ast fraction is deformed as foows: j v ε j v ε φ (v ε ) j v ε j ṽ ε φ (ṽ ε ) = ( ) = j v ε j v ε φ (v ε ) j v ε j v ε φ (ṽ ε ) + (84) ( ) + j v ε j v ε φ (ṽ ε ) j v ε j ṽ ε φ (ṽ ε ) = = w ε( φ (v ε ) φ (ṽ ε ) ) ( +φ (ṽ ε ) j v ε j v ε j v ε j ṽ ε). As a resut, we get v ε, I r ( φ ) } = (φ ) (v ε )χ (φ(vε )) χ (φ(vε )) w ε + + φ (ṽ ε ) ( h ε φ (Vh ε j v ε j v ε j v ε j ṽ ε) ε ) w ε } h ε φ (v ε Φ(v ε )φ(v ε ) φ(ṽ ε ) φ (v ε ) φ (ṽ ε ) at (x,t ) ) Appying (39) with A = v ε (x,t ) and B = ṽ ε (x,t ), the vaue of the ast parenthesis } of the ast reation turns out to be non-positive, we finay arrive at (83) since φ > by (9). (step ) We next show the inequaity v ε, I (x,t ) Φ (v ε )(w ε ). (85) In order to differentiate I, we have to excude the case where the two terms of I are not differentiabe, that is, the case where v ε (x,t ) = og 3 or r (r

21 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 3 is as in Proposition ). The excuded case sha be treated beow as (step 4). We differentiate two terms of I with respect to x-variabe at (x,t ) and mutipying by j v ε to obtain j v ε j I = = j v ε ( j v ε ) +Φ (v ε ) j v ε j v ε v ε + + Φ(v ε ) v ε, j v ε ( j v ε ) at (x,t ). (86) Now et us sum (86) with respect to j from to m. We here notice that the reation j v ε ( j v ε ) = v ε. In addition, the direct computation of differentiation tes us that the first term of the right-side of (86) equas to We thus finay have j v ε ( j v ε) = ( v ε ) m ij v ε. i,j= v ε, I r = w ε v ε + Φ (v ε )(w ε ) + + Φ(v ε ) v ε, w ε at (x,t ). (87) Taking into account (75), (76) and v ε, we obtain (85). (step 3) Let us combine (83) and (85) to deduce F(x,t ) Φ (v ε (x,t ))(w ε (x,t )). (88) Since from (35) the right-side of (88) is non-positive, we arrive at (8). On the other hand, in order to show (8), assume v ε (x,t ) og 3,r. By making use of (7) and (77) in the right-side of (88) and dividing the both sides by w ε (x,t ) which is positive because of (74), we obtain ( φ 3w ε ) } + (φ ) (v ε )χ (φ(vε )) χ (φ(vε )) at (x,t ). (89) Since from (3) and (3) φ 3 and φ 3 in og 3,r, we have φ (φ ) (v ε (x,t )). Appying this to (89), we estabish the desired inequaity (8). (step 4) We treat the case excuded in (step ): v ε (x,t ) = og 3 or r. Our aim is to show (79) and (8). Since the former is directy foowed from the atter, we sha show ony (8). The side I r is differentiabe, and so (83) remains vaid aso in this case. Therefore, we have ony to show v ε, I at (x,t ). (9)

22 4 Y. Yamaura For this purpose, we proceed our argument in the foowing two steps of proving the first inequaity and the second one of v ε (x,t ), I (x,t ) v ε (x,t ), v ε (x,t ). (9) We ony treat the case where v ε (x ) = og 3, whie the treatment of other case is simiar (see the end of this proof). In the foowing, for abbreviation, we omit to write t ike as v ε (x ) := v ε (x,t ) because we fix time variabe t as t throughout this proof. At first we define functions φ and ṽ ε. Let φ(r) e r for r R. Then φ, φ C,, and φ φ on,og 3, and therefore φ φ in,, (9) φ φ in,og 3, (93) φ φ in,og 3. (94) In addition, we define ṽ ε (x,t) := φ (U ε (x,t)) for (x,t) R m h ε,. The proof of the first inequaity of (9) We show for each fixed k =,...,m the inequaity k v ε (x ) k I (x ) k v ε (x ) k ṽ ε (x ). (95) Without oss of generaity we may assume k v ε (x ) since in case k v ε (x ) = the inequaity hods because both sides are equa to zero. Let e k be the unit vector whose k-th component is one. We consider the difference quotient as foows: I (x + δe k ) I (x ) δ = ( vε )(x + δe k ) ( v ε )(x ) + δ + Φ(vε (x + δe k )) v ε (x + δe k ) Φ(v ε (x )) v ε (x ) δ for δ R \ } (96) In the foowing, for abbreviation, we denote for function Ψ : R m,+ ) R the difference quotient Ψ(x + δe k ) Ψ(x ) by Ψ. So we have from (96) δ I = δ vε + v ε (x + δe k ) δ Φ(vε ) + Φ(v ε (x )) δ vε.

23 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 5 In case v ε, we can deform the second term of the right-side as foows: δ vε δ I = δ vε δ vε + + v ε (x + δe k ) ( ) Φ(v ε (x + δe k )) Φ(v ε (x )) δ vε v ε (x + δe k ) v ε + (x ) + Φ(v ε (x )) δ vε δ vε. Since from (37) the function Φ is non-increasing, the fraction containing Φ is non-positive. Therefore, δ vε δ I δ vε δ vε + Φ(v ε (x )) δ vε δ vε for δ R \ }. (97) Here we remark that (97) remains vaid in case v ε =. According to the sign of k v ε (x ), we choose an infinitesima (δ) in the foowing way: In case k v ε (x ) >, δ = δ (k) In case k v ε (x ) <, δ = δ (k) < with δ (k) as, > with δ (k) as. (98) Then, by considering N arge enough, we may assume that in any case the inequaity v ε (x + δ (k) e k ) v ε (x ) = og 3 for N. (99) hods. For this reason, we obtain φ (U ε (ξ)) = v ε (ξ),og 3 at ξ = x, x + δ (k) e k, and therefore, U ε (ξ), We have from (9) (94) φ (φ (U ε (ξ))) = φ ( φ (U ε (ξ))) Hence, φ (φ (U ε (ξ))) = φ ( φ (U ε (ξ))) v ε (ξ) = (φ (U ε (ξ))) = at ξ = x, x + δ (k) e k. at ξ = x, x + δ (k) e k.

24 6 Y. Yamaura = Uε (ξ) φ ( φ (U ε (ξ))) U ε (ξ) φ ( φ (U ε (ξ))) φ ( φ (U ε (ξ))) 3 = = ( φ (U ε (ξ))) = ṽ ε (ξ) at ξ = x,x + δ (k) e k. Due to (97) with δ = δ (k), δ (k) v ε δ (k) δ (k) v ε I δ (k) Passaging, we get ṽ ε + Φ(v ε (x )) δ (k) v ε δ (k) v ε for N. k v ε (x ) k I (x ) k v ε (x ) k ( ṽ ε )(x ) + Φ(v ε (x )) k v ε (x ) k w ε (x ). () Recaing here w ε (x ) = ((75)), we estabish the concusion (95). The proof of the second inequaity of (9) We aim at the inequaity v ε (x ), jj ṽ ε (x ) for j =,...,m. () For this purpose, we need the foowing emma, which is a non-smooth version of the fact that if smooth function of one variabe ζ = ζ(r) takes its maximum at r = α, then ζ (α) hods. Lemma 6. Let ζ : R R be a C (R)-function such that the maximum is attained at α R. Then there exists both an infinitesima (σ j ) such that σ j > and ζ (α + σ j ) ζ (α) σ j for j N, () and an infinitesima (σ j ) such that σ j < and ζ (α + σ j ) ζ (α) σ j for j N. (3) Proof. Since the proof of (3) are same as (), we show ony (). Suppose on the contrary that there exists a positive number σ such that ζ (α + σ) ζ (α) σ > for < σ < σ. (4)

25 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 7 Since ζ takes the maximum at α, we have ζ (α) =. Therefore, from (4), we have ζ (α + σ) > for < σ < σ. Integrating ζ on the interva α,α+σ, we have < α+σ α ζ (ξ)dξ = ζ(α + σ ) ζ(α), which contradicts a fact that ζ(α) is a maximum vaue. Let us appy Lemma 6 to ζ j (r) := ( v ε )(x + τe j,t ) (r R). We remark that from our assumption that v ε takes its maximum at (x,t ), the function ζ j takes its maximum at r =. As a resut, we can choose for each j =,...,m an negative infinitesima ( ) such that ζ ( ) ζ () for N. Here, in addition, we assume that j U ε (x ) >. Then, for sufficienty arge, it hods that U ε (x + e j ) U ε (x ). Thus, we can choose an infinitesima ( ) such that <, ( j v ε )(x + e j ) ( j v ε )(x ), U ε (x + e j ) U ε (x ). for N (5) In the same way, under the condition j U ε (x ) <, we can choose an infinitesima ( ) such that >, ( j v ε )(x + e j ) ( j v ε )(x ), for N (6) U ε (x + e j ) U ε (x ). On the other hand, ony in case j U ε (x ) =, it is impossibe to compare generay the vaue U ε (x + e j ) and U ε (x ), so we impose an infinitesima ony the conditions >, ( j v ε )(x + e j ) ( j v ε )(x ) for N. (7),

26 8 Y. Yamaura Now we are in a position to prove the desired inequaity (). Let ( ) be as above. Then ( j v ε )(x + e j ) ( j v ε )(x ) = + Therefore, m ( k v ε )(x ) ( kj v ε )(x + e j ) ( kj v ε )(x ) + k= m ( kj v ε )(x + e j ) ( k v ε )(x + e j ) ( k v ε )(x ) k= = m ( k v ε )(x ) ( kj v ε )(x + e j ) ( kj v ε )(x ) k= m ( kj v ε )(x + e j ) ( k v ε )(x + e j ) ( k v ε )(x ) k= (8) In the foowing, we divide our argument according to the sign of j U ε (x ) is zero or not. (case ) The case where j U ε (x ). In this case, by (5) and (6), we have U ε (x + e j ) U ε (x ) =, which impies φ (φ (U ε (ξ))) = φ ( φ (U ε (ξ))) φ (φ (U ε (ξ))) = φ ( φ (U ε (ξ))) at ξ = x and x + e j. (9) Hence, for ξ = x,x + e j it hods that kj v ε (ξ) = ) = kj (φ (U ε (ξ)) = = kju ε (ξ) φ ( φ (U ε (ξ))) j U ε (ξ) k U ε (ξ) φ ( φ (U ε (ξ))) = φ ( φ (U ε (ξ))) 3 ( φ ) = kj (U ε (ξ)) = kj ṽ ε (ξ).

27 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 9 Thus, we can exchange kj v ε of the eft-side of (8) to kj ṽ ε, so that m ( k v ε )(x ) ( kj ṽ ε )(x + e j ) ( kj ṽ ε )(x ) k= m ( kj v ε )(x + e j ) ( k v ε )(x + e j ) ( k v ε )(x ). k= () Here, passaging, we can arrive at the concusion (): v ε (x ), jj ṽ ε (x ) m ( kj v ε )(x )}. (case ) The case where j U ε (x ) =. If we use abbreviation f(x) = kj U ε (x) φ (v ε (x)) and g(x) = ku ε (x), then we have the reation φ (v ε (x)) 3 k= kj v ε (x) = f(x) g(x) j U ε (x)φ (v ε (x)). () If we denote f(x) = kju ε (x) φ and g(x) = ku ε (x), then it hods that (ev ε (x)) 3 φ (ev ε (x)) kj ṽ ε (x) = f(x) g(x) j U ε (x) φ (ṽ ε (x)). Let us consider a difference quotient of both sides of (). Here, notice that it is possibe to drop the term containing j U ε (x ) which is assumed to be zero. So that we have kj v ε (x + e j ) kj v ε (x ) = x + e j = f(ξ) φ (V (x + e j )) g(ξ) j U ε (ξ) x x + e j. x Therefore im = k= m ( k v ε )(x ) kj v ε (x + e j ) kj v ε (x ) = m k v ε (x ) k= im φ (φ (U ε (x ))) im f(ξ) x + e j x g(ξ) j U ε (ξ) x + e j x } ()

28 Y. Yamaura By means of (9) with ξ = x, we can repace φ (φ (U ε (x ))) by φ ( φ (U ε (x ))). In addition, we can repace f and g by f and g respectivey. This is shown as foows: Since U ε (,x ) is a C 3 -function, we can compute the differentiation of f at x and so im = f(ξ) x + e j x = j ( kjj U ε (x ) φ ( φ (U ε (x ))) kj U ε (ξ) φ (φ (U ε (ξ))) ) ξ=x = } kj U ε (x ) j U ε (x ) φ ( φ (U ε (x ))) φ ( φ (U ε (x ))) 3 = im x + e j f(ξ). x In the third equaity, (9) with ξ = x is used. For the same reason, we aso get im g(ξ) j U ε (ξ) x + e j x = im g(ξ) j U ε (ξ) x + e j. x We can thus repace in () f and g by f and g respectivey to have im = im k= k= = im m ( k v ε )(x ) kj v ε (x + e j ) kj v ε (x ) = m ( k v ε )(x ) f(ξ) x + x e j g(ξ) j U ε (ξ) φ (ṽ ε (ξ)) x + e j m ( k v ε )(x ) kj ṽ ε (x + e j ) kj ṽ ε (x ). k= This recovers () in the case where j U ε (x ) =, and therefore we are abe to estabish () in the same way as in (case ). In order to accompish our proof, we comment the case where v ε (x ) = r. In this case the assertion is shown by modifying the foowing two definitions in the proof of the case where v ε (x ) = og 3. We define φ(r) b(r r ) + for r R, where b is a constant as in Proposition. Then, we choose an x } =

29 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... infinitesima ( ) in (5) such that >, and in (6) such that In addition, we choose (δ (k) <. ) in (98) such that δ (k) > in case k v ε (x ) >, and δ (k) < in case k v ε (x ) <. Step 5. Inequaity U ε (x,t ). We show the inequaity U ε (x,t ). (3) Suppose on the contrary that U ε (x,t ) <. In the case where U ε (x,t ) =. Then, by the initia condition () and Theorem??, it turns out that U ε in R m h ε,+, so that U ε (x,t ) =. Hence, v ε (x,t ) = U ε (x,t )(φ ) (U ε (x,t )) = Uε (x,t ) φ (v ε (x,t )) =, and w ε (x,t ) = v ε (x,t ) =. This contradicts (73). In the case where < U ε (x,t ). Since < v ε (x,t ) og 3, φ (v ε (x,t )) = φ (v ε (x,t )) = e vε (x,t ). Therefore, (79) impies that E(x,t ) = e vε (x,t ) χ (φ(v ε (x,t )) χ (φ(v ε (x,t )). It hods that e vε (x,t ) < for v ε (x,t ) >. Furthermore, < φ(v ε (x,t )) = U ε (x,t ) hods, and so from (6) χ (φ(vε (x,t )). Hence, E(x,t ) χ (φ(vε (x,t )) χ (φ(vε (x,t )). On the other hand, by (7), we have χ χ in,, and then finay we have E(x,t ) <, which is a contradiction. In the case where < Uε (x,t ) <. Since v ε (x,t ) (og 3,r ), the assertion (8) hods. G(x,t ) 3w ε (x,t ) + χ (φ(v ε (x,t ))) χ (φ(v ε (x,t ))). By the assumption (73), w ε (x,t ) > M hods. Both χ by M = χ L (R) + χ L (R), and as a resut and χ are estimated which is a contradiction. Step 6. A contradiction. G(x,t ) 3M + M = M,

30 Y. Yamaura Finay, in order to accompish the proof of Lemma 4 we ead a contradiction by using (3) shown above. Let =,,,... be a non-negative integer such that t h ε,( + )h ε. Invoking the resut of Step5, we have φ (v ε (x,t)) = U ε (x,t). Therefore, from (8) of Lemma, χ (φ(vε (x,t )) = and χ (φ(vε (x,t )) =. Appying these facts to (8), we infer F(x,t ) = h ε φ (ṽ ε ) φ (v ε ) Since from (9) φ > in,+, we deduce Noting here (78), we get ( j v ε j v ε j v ε j ṽ ε) (x,t ). j v ε j v ε j v ε j ṽ ε (x,t ). w ε (x,t ) = w ε (x,t h ε ). (4) In case =, that is, t h ε ( h ε,, it hods that sup w ε w ε (x,t h ε ) = w ε (x,t ) = max R m } R m,t wε, (5) which contradicts the assumption (73). In case, that is, t h ε R m,t, we have from (4) that the point (x,t h ε ) is a maximum point of w ε in R m,t, and w ε (x,t h ε ) > max M, sup w ε}. R m } Hence, we can appy our argument from (73) to (4) by repacing (x,t ) with (x,t h ε ) to have w ε (x,t h ε ) = w ε (x,t h ε ). By induction, we have w ε (x,t (+)h ε ) = w ε (x,t h ε ). Finay, we have w ε (x,t (+)h ε ) = w ε (x,t ). Since t ( + )h ε ( h ε,, we have a contradiction sup w ε w ε (x,t ( + )h ε ) = w ε (x,t ) = max R m } R m,t wε. Remark 4 (On the initia condition ()). If we restrict our argument to the case where m 5, we can show the existence of the maximum point or w ε under the foowing initia conditions: (i) u H 3 (R m ) W, (R m ) C,α (R m ) for some α, (ii) L m (spt u ) < + (6) (iii) u in R m

31 UNIFORM LIPSCHITZ CONTINUITY OF SOLUTIONS... 3 Comparing the condition (), the condition above does not need the boundedness of u. References H.W. At, L.A. Caffarei, Existence and reguarity for a minimum probem with free boundary, J. Reine Angew. Math., 35 (98), H. Brezis, Anayse Fonctionnee, Masson, Editeur, Paris (983), Japanese Transated. 3 L.A. Caffarei, J.L. Vázquez, A free-boundary probem for the heat equation arising in fame propagation, Transaction of the AMS, 347 (995), L.C. Evans, R.F. Gariepy, Measure Theory and Fine Properties of Functions, CRC Press (99). 5 N. Kikuchi, A method of constructing Morse fows to variationa functionas, Noninear Word, (994), O.A. Ladyzhenskaya, N.N. Ura tseva, Linear and Quasiinear Eiptic Equations, Academic Press, New York-London-Toronto-Sydney-San Francisco (968). 7 Y. Yamaura, Höder continuity of discrete Morse fows to the At-Caffarei variationa probem generating free boundaries, To be submitted.

32 4

Mat 1501 lecture notes, penultimate installment

Mat 1501 lecture notes, penultimate installment Mat 1501 ecture notes, penutimate instament 1. bounded variation: functions of a singe variabe optiona) I beieve that we wi not actuay use the materia in this section the point is mainy to motivate the

More information

Week 6 Lectures, Math 6451, Tanveer

Week 6 Lectures, Math 6451, Tanveer Fourier Series Week 6 Lectures, Math 645, Tanveer In the context of separation of variabe to find soutions of PDEs, we encountered or and in other cases f(x = f(x = a 0 + f(x = a 0 + b n sin nπx { a n

More information

Lecture Notes 4: Fourier Series and PDE s

Lecture Notes 4: Fourier Series and PDE s Lecture Notes 4: Fourier Series and PDE s 1. Periodic Functions A function fx defined on R is caed a periodic function if there exists a number T > such that fx + T = fx, x R. 1.1 The smaest number T for

More information

4 Separation of Variables

4 Separation of Variables 4 Separation of Variabes In this chapter we describe a cassica technique for constructing forma soutions to inear boundary vaue probems. The soution of three cassica (paraboic, hyperboic and eiptic) PDE

More information

Homogeneity properties of subadditive functions

Homogeneity properties of subadditive functions Annaes Mathematicae et Informaticae 32 2005 pp. 89 20. Homogeneity properties of subadditive functions Pá Burai and Árpád Száz Institute of Mathematics, University of Debrecen e-mai: buraip@math.kte.hu

More information

Math 124B January 31, 2012

Math 124B January 31, 2012 Math 124B January 31, 212 Viktor Grigoryan 7 Inhomogeneous boundary vaue probems Having studied the theory of Fourier series, with which we successfuy soved boundary vaue probems for the homogeneous heat

More information

Coupling of LWR and phase transition models at boundary

Coupling of LWR and phase transition models at boundary Couping of LW and phase transition modes at boundary Mauro Garaveo Dipartimento di Matematica e Appicazioni, Università di Miano Bicocca, via. Cozzi 53, 20125 Miano Itay. Benedetto Piccoi Department of

More information

CS229 Lecture notes. Andrew Ng

CS229 Lecture notes. Andrew Ng CS229 Lecture notes Andrew Ng Part IX The EM agorithm In the previous set of notes, we taked about the EM agorithm as appied to fitting a mixture of Gaussians. In this set of notes, we give a broader view

More information

Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications

Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications Pricing Mutipe Products with the Mutinomia Logit and Nested Logit Modes: Concavity and Impications Hongmin Li Woonghee Tim Huh WP Carey Schoo of Business Arizona State University Tempe Arizona 85287 USA

More information

EXPONENTIAL DECAY OF SOLUTIONS TO A VISCOELASTIC EQUATION WITH NONLINEAR LOCALIZED DAMPING

EXPONENTIAL DECAY OF SOLUTIONS TO A VISCOELASTIC EQUATION WITH NONLINEAR LOCALIZED DAMPING Eectronic Journa of Differentia Equations, Vo. 24(24), No. 88, pp. 1 1. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (ogin: ftp) EXPONENTIAL DECAY

More information

BASIC NOTIONS AND RESULTS IN TOPOLOGY. 1. Metric spaces. Sets with finite diameter are called bounded sets. For x X and r > 0 the set

BASIC NOTIONS AND RESULTS IN TOPOLOGY. 1. Metric spaces. Sets with finite diameter are called bounded sets. For x X and r > 0 the set BASIC NOTIONS AND RESULTS IN TOPOLOGY 1. Metric spaces A metric on a set X is a map d : X X R + with the properties: d(x, y) 0 and d(x, y) = 0 x = y, d(x, y) = d(y, x), d(x, y) d(x, z) + d(z, y), for a

More information

Restricted weak type on maximal linear and multilinear integral maps.

Restricted weak type on maximal linear and multilinear integral maps. Restricted weak type on maxima inear and mutiinear integra maps. Oscar Basco Abstract It is shown that mutiinear operators of the form T (f 1,..., f k )(x) = R K(x, y n 1,..., y k )f 1 (y 1 )...f k (y

More information

NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS

NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS TONY ALLEN, EMILY GEBHARDT, AND ADAM KLUBALL 3 ADVISOR: DR. TIFFANY KOLBA 4 Abstract. The phenomenon of noise-induced stabiization occurs

More information

King Fahd University of Petroleum & Minerals

King Fahd University of Petroleum & Minerals King Fahd University of Petroeum & Mineras DEPARTMENT OF MATHEMATICAL SCIENCES Technica Report Series TR 369 December 6 Genera decay of soutions of a viscoeastic equation Saim A. Messaoudi DHAHRAN 3161

More information

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES Separation of variabes is a method to sove certain PDEs which have a warped product structure. First, on R n, a inear PDE of order m is

More information

Bourgain s Theorem. Computational and Metric Geometry. Instructor: Yury Makarychev. d(s 1, s 2 ).

Bourgain s Theorem. Computational and Metric Geometry. Instructor: Yury Makarychev. d(s 1, s 2 ). Bourgain s Theorem Computationa and Metric Geometry Instructor: Yury Makarychev 1 Notation Given a metric space (X, d) and S X, the distance from x X to S equas d(x, S) = inf d(x, s). s S The distance

More information

1D Heat Propagation Problems

1D Heat Propagation Problems Chapter 1 1D Heat Propagation Probems If the ambient space of the heat conduction has ony one dimension, the Fourier equation reduces to the foowing for an homogeneous body cρ T t = T λ 2 + Q, 1.1) x2

More information

u(x) s.t. px w x 0 Denote the solution to this problem by ˆx(p, x). In order to obtain ˆx we may simply solve the standard problem max x 0

u(x) s.t. px w x 0 Denote the solution to this problem by ˆx(p, x). In order to obtain ˆx we may simply solve the standard problem max x 0 Bocconi University PhD in Economics - Microeconomics I Prof M Messner Probem Set 4 - Soution Probem : If an individua has an endowment instead of a monetary income his weath depends on price eves In particuar,

More information

A UNIVERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIVE ALGEBRAIC MANIFOLDS

A UNIVERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIVE ALGEBRAIC MANIFOLDS A UNIERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIE ALGEBRAIC MANIFOLDS DROR AROLIN Dedicated to M Saah Baouendi on the occasion of his 60th birthday 1 Introduction In his ceebrated

More information

Homework 5 Solutions

Homework 5 Solutions Stat 310B/Math 230B Theory of Probabiity Homework 5 Soutions Andrea Montanari Due on 2/19/2014 Exercise [5.3.20] 1. We caim that n 2 [ E[h F n ] = 2 n i=1 A i,n h(u)du ] I Ai,n (t). (1) Indeed, integrabiity

More information

6 Wave Equation on an Interval: Separation of Variables

6 Wave Equation on an Interval: Separation of Variables 6 Wave Equation on an Interva: Separation of Variabes 6.1 Dirichet Boundary Conditions Ref: Strauss, Chapter 4 We now use the separation of variabes technique to study the wave equation on a finite interva.

More information

Volume 13, MAIN ARTICLES

Volume 13, MAIN ARTICLES Voume 13, 2009 1 MAIN ARTICLES THE BASIC BVPs OF THE THEORY OF ELASTIC BINARY MIXTURES FOR A HALF-PLANE WITH CURVILINEAR CUTS Bitsadze L. I. Vekua Institute of Appied Mathematics of Iv. Javakhishvii Tbiisi

More information

David Eigen. MA112 Final Paper. May 10, 2002

David Eigen. MA112 Final Paper. May 10, 2002 David Eigen MA112 Fina Paper May 1, 22 The Schrodinger equation describes the position of an eectron as a wave. The wave function Ψ(t, x is interpreted as a probabiity density for the position of the eectron.

More information

The Construction of a Pfaff System with Arbitrary Piecewise Continuous Characteristic Power-Law Functions

The Construction of a Pfaff System with Arbitrary Piecewise Continuous Characteristic Power-Law Functions Differentia Equations, Vo. 41, No. 2, 2005, pp. 184 194. Transated from Differentsia nye Uravneniya, Vo. 41, No. 2, 2005, pp. 177 185. Origina Russian Text Copyright c 2005 by Izobov, Krupchik. ORDINARY

More information

MA 201: Partial Differential Equations Lecture - 10

MA 201: Partial Differential Equations Lecture - 10 MA 201: Partia Differentia Equations Lecture - 10 Separation of Variabes, One dimensiona Wave Equation Initia Boundary Vaue Probem (IBVP) Reca: A physica probem governed by a PDE may contain both boundary

More information

UNIFORM CONVERGENCE OF MULTIPLIER CONVERGENT SERIES

UNIFORM CONVERGENCE OF MULTIPLIER CONVERGENT SERIES royecciones Vo. 26, N o 1, pp. 27-35, May 2007. Universidad Catóica de Norte Antofagasta - Chie UNIFORM CONVERGENCE OF MULTILIER CONVERGENT SERIES CHARLES SWARTZ NEW MEXICO STATE UNIVERSITY Received :

More information

An Extension of Almost Sure Central Limit Theorem for Order Statistics

An Extension of Almost Sure Central Limit Theorem for Order Statistics An Extension of Amost Sure Centra Limit Theorem for Order Statistics T. Bin, P. Zuoxiang & S. Nadarajah First version: 6 December 2007 Research Report No. 9, 2007, Probabiity Statistics Group Schoo of

More information

Generalized Bell polynomials and the combinatorics of Poisson central moments

Generalized Bell polynomials and the combinatorics of Poisson central moments Generaized Be poynomias and the combinatorics of Poisson centra moments Nicoas Privaut Division of Mathematica Sciences Schoo of Physica and Mathematica Sciences Nanyang Technoogica University SPMS-MAS-05-43,

More information

4 1-D Boundary Value Problems Heat Equation

4 1-D Boundary Value Problems Heat Equation 4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x

More information

Theory of Generalized k-difference Operator and Its Application in Number Theory

Theory of Generalized k-difference Operator and Its Application in Number Theory Internationa Journa of Mathematica Anaysis Vo. 9, 2015, no. 19, 955-964 HIKARI Ltd, www.m-hiari.com http://dx.doi.org/10.12988/ijma.2015.5389 Theory of Generaized -Difference Operator and Its Appication

More information

Many-Help-One Problem for Gaussian Sources with a Tree Structure on their Correlation

Many-Help-One Problem for Gaussian Sources with a Tree Structure on their Correlation Many-Hep-One Probem for Gaussian Sources with a Tree Structure on their Correation Yasutada Oohama arxiv:090988v csit 4 Jan 009 Abstract In this paper we consider the separate coding probem for + correated

More information

Lecture 11. Fourier transform

Lecture 11. Fourier transform Lecture. Fourier transform Definition and main resuts Let f L 2 (R). The Fourier transform of a function f is a function f(α) = f(x)t iαx dx () The normaized Fourier transform of f is a function R ˆf =

More information

Multilayer Kerceptron

Multilayer Kerceptron Mutiayer Kerceptron Zotán Szabó, András Lőrincz Department of Information Systems, Facuty of Informatics Eötvös Loránd University Pázmány Péter sétány 1/C H-1117, Budapest, Hungary e-mai: szzoi@csetehu,

More information

On Some Basic Properties of Geometric Real Sequences

On Some Basic Properties of Geometric Real Sequences On Some Basic Properties of eometric Rea Sequences Khirod Boruah Research Schoar, Department of Mathematics, Rajiv andhi University Rono His, Doimukh-791112, Arunacha Pradesh, India Abstract Objective

More information

WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS. B. L. S.

WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS. B. L. S. Indian J. Pure App. Math., 41(1): 275-291, February 2010 c Indian Nationa Science Academy WAVELET LINEAR ESTIMATION FOR DERIVATIVES OF A DENSITY FROM OBSERVATIONS OF MIXTURES WITH VARYING MIXING PROPORTIONS

More information

General Decay of Solutions in a Viscoelastic Equation with Nonlinear Localized Damping

General Decay of Solutions in a Viscoelastic Equation with Nonlinear Localized Damping Journa of Mathematica Research with Appications Jan.,, Vo. 3, No., pp. 53 6 DOI:.377/j.issn:95-65...7 Http://jmre.dut.edu.cn Genera Decay of Soutions in a Viscoeastic Equation with Noninear Locaized Damping

More information

Research Article On the Lower Bound for the Number of Real Roots of a Random Algebraic Equation

Research Article On the Lower Bound for the Number of Real Roots of a Random Algebraic Equation Appied Mathematics and Stochastic Anaysis Voume 007, Artice ID 74191, 8 pages doi:10.1155/007/74191 Research Artice On the Lower Bound for the Number of Rea Roots of a Random Agebraic Equation Takashi

More information

Wave Equation Dirichlet Boundary Conditions

Wave Equation Dirichlet Boundary Conditions Wave Equation Dirichet Boundary Conditions u tt x, t = c u xx x, t, < x 1 u, t =, u, t = ux, = fx u t x, = gx Look for simpe soutions in the form ux, t = XxT t Substituting into 13 and dividing

More information

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues Numerische Mathematik manuscript No. (wi be inserted by the editor) Smoothness equivaence properties of univariate subdivision schemes and their projection anaogues Phiipp Grohs TU Graz Institute of Geometry

More information

Math 124B January 17, 2012

Math 124B January 17, 2012 Math 124B January 17, 212 Viktor Grigoryan 3 Fu Fourier series We saw in previous ectures how the Dirichet and Neumann boundary conditions ead to respectivey sine and cosine Fourier series of the initia

More information

arxiv: v1 [math.fa] 23 Aug 2018

arxiv: v1 [math.fa] 23 Aug 2018 An Exact Upper Bound on the L p Lebesgue Constant and The -Rényi Entropy Power Inequaity for Integer Vaued Random Variabes arxiv:808.0773v [math.fa] 3 Aug 08 Peng Xu, Mokshay Madiman, James Mebourne Abstract

More information

1 Heat Equation Dirichlet Boundary Conditions

1 Heat Equation Dirichlet Boundary Conditions Chapter 3 Heat Exampes in Rectanges Heat Equation Dirichet Boundary Conditions u t (x, t) = ku xx (x, t), < x (.) u(, t) =, u(, t) = u(x, ) = f(x). Separate Variabes Look for simpe soutions in the

More information

Problem set 6 The Perron Frobenius theorem.

Problem set 6 The Perron Frobenius theorem. Probem set 6 The Perron Frobenius theorem. Math 22a4 Oct 2 204, Due Oct.28 In a future probem set I want to discuss some criteria which aow us to concude that that the ground state of a sef-adjoint operator

More information

The Binary Space Partitioning-Tree Process Supplementary Material

The Binary Space Partitioning-Tree Process Supplementary Material The inary Space Partitioning-Tree Process Suppementary Materia Xuhui Fan in Li Scott. Sisson Schoo of omputer Science Fudan University ibin@fudan.edu.cn Schoo of Mathematics and Statistics University of

More information

Lecture Note 3: Stationary Iterative Methods

Lecture Note 3: Stationary Iterative Methods MATH 5330: Computationa Methods of Linear Agebra Lecture Note 3: Stationary Iterative Methods Xianyi Zeng Department of Mathematica Sciences, UTEP Stationary Iterative Methods The Gaussian eimination (or

More information

On prime divisors of remarkable sequences

On prime divisors of remarkable sequences Annaes Mathematicae et Informaticae 33 (2006 pp. 45 56 http://www.ektf.hu/tanszek/matematika/ami On prime divisors of remarkabe sequences Ferdinánd Fiip a, Kámán Liptai b1, János T. Tóth c2 a Department

More information

Numerical methods for elliptic partial differential equations Arnold Reusken

Numerical methods for elliptic partial differential equations Arnold Reusken Numerica methods for eiptic partia differentia equations Arnod Reusken Preface This is a book on the numerica approximation of partia differentia equations. On the next page we give an overview of the

More information

ON THE POSITIVITY OF SOLUTIONS OF SYSTEMS OF STOCHASTIC PDES

ON THE POSITIVITY OF SOLUTIONS OF SYSTEMS OF STOCHASTIC PDES ON THE POSITIVITY OF SOLUTIONS OF SYSTEMS OF STOCHASTIC PDES JACKY CRESSON 1,2, MESSOUD EFENDIEV 3, AND STEFANIE SONNER 3,4 On the occasion of the 75 th birthday of Prof. Dr. Dr.h.c. Wofgang L. Wendand

More information

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES by Michae Neumann Department of Mathematics, University of Connecticut, Storrs, CT 06269 3009 and Ronad J. Stern Department of Mathematics, Concordia

More information

Course 2BA1, Section 11: Periodic Functions and Fourier Series

Course 2BA1, Section 11: Periodic Functions and Fourier Series Course BA, 8 9 Section : Periodic Functions and Fourier Series David R. Wikins Copyright c David R. Wikins 9 Contents Periodic Functions and Fourier Series 74. Fourier Series of Even and Odd Functions...........

More information

Separation of Variables and a Spherical Shell with Surface Charge

Separation of Variables and a Spherical Shell with Surface Charge Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation

More information

2M2. Fourier Series Prof Bill Lionheart

2M2. Fourier Series Prof Bill Lionheart M. Fourier Series Prof Bi Lionheart 1. The Fourier series of the periodic function f(x) with period has the form f(x) = a 0 + ( a n cos πnx + b n sin πnx ). Here the rea numbers a n, b n are caed the Fourier

More information

Lecture Notes for Math 251: ODE and PDE. Lecture 32: 10.2 Fourier Series

Lecture Notes for Math 251: ODE and PDE. Lecture 32: 10.2 Fourier Series Lecture Notes for Math 251: ODE and PDE. Lecture 32: 1.2 Fourier Series Shawn D. Ryan Spring 212 Last Time: We studied the heat equation and the method of Separation of Variabes. We then used Separation

More information

FRIEZE GROUPS IN R 2

FRIEZE GROUPS IN R 2 FRIEZE GROUPS IN R 2 MAXWELL STOLARSKI Abstract. Focusing on the Eucidean pane under the Pythagorean Metric, our goa is to cassify the frieze groups, discrete subgroups of the set of isometries of the

More information

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents MARKOV CHAINS AND MARKOV DECISION THEORY ARINDRIMA DATTA Abstract. In this paper, we begin with a forma introduction to probabiity and expain the concept of random variabes and stochastic processes. After

More information

Maejo International Journal of Science and Technology

Maejo International Journal of Science and Technology Fu Paper Maejo Internationa Journa of Science and Technoogy ISSN 1905-7873 Avaiabe onine at www.mijst.mju.ac.th A study on Lucas difference sequence spaces (, ) (, ) and Murat Karakas * and Ayse Metin

More information

Some Measures for Asymmetry of Distributions

Some Measures for Asymmetry of Distributions Some Measures for Asymmetry of Distributions Georgi N. Boshnakov First version: 31 January 2006 Research Report No. 5, 2006, Probabiity and Statistics Group Schoo of Mathematics, The University of Manchester

More information

Continued fractions with low complexity: Transcendence measures and quadratic approximation. Yann BUGEAUD

Continued fractions with low complexity: Transcendence measures and quadratic approximation. Yann BUGEAUD Continued fractions with ow compexity: Transcendence measures and quadratic approximation Yann BUGEAUD Abstract. We estabish measures of non-quadraticity and transcendence measures for rea numbers whose

More information

Tikhonov Regularization for Nonlinear Complementarity Problems with Approximative Data

Tikhonov Regularization for Nonlinear Complementarity Problems with Approximative Data Internationa Mathematica Forum, 5, 2010, no. 56, 2787-2794 Tihonov Reguarization for Noninear Compementarity Probems with Approximative Data Nguyen Buong Vietnamese Academy of Science and Technoogy Institute

More information

Akaike Information Criterion for ANOVA Model with a Simple Order Restriction

Akaike Information Criterion for ANOVA Model with a Simple Order Restriction Akaike Information Criterion for ANOVA Mode with a Simpe Order Restriction Yu Inatsu * Department of Mathematics, Graduate Schoo of Science, Hiroshima University ABSTRACT In this paper, we consider Akaike

More information

Convergence Property of the Iri-Imai Algorithm for Some Smooth Convex Programming Problems

Convergence Property of the Iri-Imai Algorithm for Some Smooth Convex Programming Problems Convergence Property of the Iri-Imai Agorithm for Some Smooth Convex Programming Probems S. Zhang Communicated by Z.Q. Luo Assistant Professor, Department of Econometrics, University of Groningen, Groningen,

More information

Integrating Factor Methods as Exponential Integrators

Integrating Factor Methods as Exponential Integrators Integrating Factor Methods as Exponentia Integrators Borisav V. Minchev Department of Mathematica Science, NTNU, 7491 Trondheim, Norway Borko.Minchev@ii.uib.no Abstract. Recenty a ot of effort has been

More information

arxiv: v1 [math.co] 17 Dec 2018

arxiv: v1 [math.co] 17 Dec 2018 On the Extrema Maximum Agreement Subtree Probem arxiv:1812.06951v1 [math.o] 17 Dec 2018 Aexey Markin Department of omputer Science, Iowa State University, USA amarkin@iastate.edu Abstract Given two phyogenetic

More information

Transcendence of stammering continued fractions. Yann BUGEAUD

Transcendence of stammering continued fractions. Yann BUGEAUD Transcendence of stammering continued fractions Yann BUGEAUD To the memory of Af van der Poorten Abstract. Let θ = [0; a 1, a 2,...] be an agebraic number of degree at east three. Recenty, we have estabished

More information

221B Lecture Notes Notes on Spherical Bessel Functions

221B Lecture Notes Notes on Spherical Bessel Functions Definitions B Lecture Notes Notes on Spherica Besse Functions We woud ike to sove the free Schrödinger equation [ h d r R(r) = h k R(r). () m r dr r m R(r) is the radia wave function ψ( x) = R(r)Y m (θ,

More information

Partial permutation decoding for MacDonald codes

Partial permutation decoding for MacDonald codes Partia permutation decoding for MacDonad codes J.D. Key Department of Mathematics and Appied Mathematics University of the Western Cape 7535 Bevie, South Africa P. Seneviratne Department of Mathematics

More information

Existence of solitary waves in one dimensional peridynamics

Existence of solitary waves in one dimensional peridynamics Existence of soitary waves in one dimensiona peridynamics obert L. Pego and Truong-Son Van Department of Mathematica Sciences and Center for Noninear Anaysis Carnegie Meon University, Pittsburgh, PA 15213,

More information

Reflection principles and kernels in R n _+ for the biharmonic and Stokes operators. Solutions in a large class of weighted Sobolev spaces

Reflection principles and kernels in R n _+ for the biharmonic and Stokes operators. Solutions in a large class of weighted Sobolev spaces Refection principes and kernes in R n _+ for the biharmonic and Stokes operators. Soutions in a arge cass of weighted Soboev spaces Chérif Amrouche, Yves Raudin To cite this version: Chérif Amrouche, Yves

More information

Physics 235 Chapter 8. Chapter 8 Central-Force Motion

Physics 235 Chapter 8. Chapter 8 Central-Force Motion Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion

More information

C. Fourier Sine Series Overview

C. Fourier Sine Series Overview 12 PHILIP D. LOEWEN C. Fourier Sine Series Overview Let some constant > be given. The symboic form of the FSS Eigenvaue probem combines an ordinary differentia equation (ODE) on the interva (, ) with a

More information

arxiv: v1 [math.ap] 8 Nov 2014

arxiv: v1 [math.ap] 8 Nov 2014 arxiv:1411.116v1 [math.ap] 8 Nov 014 ALL INVARIANT REGIONS AND GLOBAL SOLUTIONS FOR m-component REACTION-DIFFUSION SYSTEMS WITH A TRIDIAGONAL SYMMETRIC TOEPLITZ MATRIX OF DIFFUSION COEFFICIENTS SALEM ABDELMALEK

More information

Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces

Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces Abstract and Appied Anaysis Voume 01, Artice ID 846396, 13 pages doi:10.1155/01/846396 Research Artice Numerica Range of Two Operators in Semi-Inner Product Spaces N. K. Sahu, 1 C. Nahak, 1 and S. Nanda

More information

arxiv: v3 [math.ca] 8 Nov 2018

arxiv: v3 [math.ca] 8 Nov 2018 RESTRICTIONS OF HIGHER DERIVATIVES OF THE FOURIER TRANSFORM MICHAEL GOLDBERG AND DMITRIY STOLYAROV arxiv:1809.04159v3 [math.ca] 8 Nov 018 Abstract. We consider severa probems reated to the restriction

More information

B. Brown, M. Griebel, F.Y. Kuo and I.H. Sloan

B. Brown, M. Griebel, F.Y. Kuo and I.H. Sloan Wegeerstraße 6 53115 Bonn Germany phone +49 8 73-347 fax +49 8 73-757 www.ins.uni-bonn.de B. Brown, M. Griebe, F.Y. Kuo and I.H. Soan On the expected uniform error of geometric Brownian motion approximated

More information

A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC

A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC (January 8, 2003) A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC DAMIAN CLANCY, University of Liverpoo PHILIP K. POLLETT, University of Queensand Abstract

More information

14 Separation of Variables Method

14 Separation of Variables Method 14 Separation of Variabes Method Consider, for exampe, the Dirichet probem u t = Du xx < x u(x, ) = f(x) < x < u(, t) = = u(, t) t > Let u(x, t) = T (t)φ(x); now substitute into the equation: dt

More information

Reichenbachian Common Cause Systems

Reichenbachian Common Cause Systems Reichenbachian Common Cause Systems G. Hofer-Szabó Department of Phiosophy Technica University of Budapest e-mai: gszabo@hps.ete.hu Mikós Rédei Department of History and Phiosophy of Science Eötvös University,

More information

arxiv: v1 [math.pr] 6 Oct 2017

arxiv: v1 [math.pr] 6 Oct 2017 EQUICONTINUOUS FAMILIES OF MARKOV OPERATORS IN VIEW OF ASYMPTOTIC STABILITY SANDER C. HILLE, TOMASZ SZAREK, AND MARIA A. ZIEMLAŃSKA arxiv:1710.02352v1 [math.pr] 6 Oct 2017 Abstract. Reation between equicontinuity

More information

Strauss PDEs 2e: Section Exercise 2 Page 1 of 12. For problem (1), complete the calculation of the series in case j(t) = 0 and h(t) = e t.

Strauss PDEs 2e: Section Exercise 2 Page 1 of 12. For problem (1), complete the calculation of the series in case j(t) = 0 and h(t) = e t. Strauss PDEs e: Section 5.6 - Exercise Page 1 of 1 Exercise For probem (1, compete the cacuation of the series in case j(t = and h(t = e t. Soution With j(t = and h(t = e t, probem (1 on page 147 becomes

More information

ON THE STRONG CONVERGENCE OF GRADIENTS IN STABILIZED DEGENERATE CONVEX MINIMIZATION PROBLEMS

ON THE STRONG CONVERGENCE OF GRADIENTS IN STABILIZED DEGENERATE CONVEX MINIMIZATION PROBLEMS SIAM J NUMER ANAL Vo 47, No 6, pp 4569 4580 c 010 Society for Industria and Appied Mathematics ON THE STRONG CONVERGENCE O GRADIENTS IN STABILIZED DEGENERATE CONVEX MINIMIZATION PROBLEMS WOLGANG BOIGER

More information

XSAT of linear CNF formulas

XSAT of linear CNF formulas XSAT of inear CN formuas Bernd R. Schuh Dr. Bernd Schuh, D-50968 Kön, Germany; bernd.schuh@netcoogne.de eywords: compexity, XSAT, exact inear formua, -reguarity, -uniformity, NPcompeteness Abstract. Open

More information

Summation of p-adic Functional Series in Integer Points

Summation of p-adic Functional Series in Integer Points Fiomat 31:5 (2017), 1339 1347 DOI 10.2298/FIL1705339D Pubished by Facuty of Sciences and Mathematics, University of Niš, Serbia Avaiabe at: http://www.pmf.ni.ac.rs/fiomat Summation of p-adic Functiona

More information

Fourier Series. 10 (D3.9) Find the Cesàro sum of the series. 11 (D3.9) Let a and b be real numbers. Under what conditions does a series of the form

Fourier Series. 10 (D3.9) Find the Cesàro sum of the series. 11 (D3.9) Let a and b be real numbers. Under what conditions does a series of the form Exercises Fourier Anaysis MMG70, Autumn 007 The exercises are taken from: Version: Monday October, 007 DXY Section XY of H F Davis, Fourier Series and orthogona functions EÖ Some exercises from earier

More information

Pattern Frequency Sequences and Internal Zeros

Pattern Frequency Sequences and Internal Zeros Advances in Appied Mathematics 28, 395 420 (2002 doi:10.1006/aama.2001.0789, avaiabe onine at http://www.ideaibrary.com on Pattern Frequency Sequences and Interna Zeros Mikós Bóna Department of Mathematics,

More information

SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS

SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS ISEE 1 SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS By Yingying Fan and Jinchi Lv University of Southern Caifornia This Suppementary Materia

More information

Expectation-Maximization for Estimating Parameters for a Mixture of Poissons

Expectation-Maximization for Estimating Parameters for a Mixture of Poissons Expectation-Maximization for Estimating Parameters for a Mixture of Poissons Brandon Maone Department of Computer Science University of Hesini February 18, 2014 Abstract This document derives, in excrutiating

More information

The Group Structure on a Smooth Tropical Cubic

The Group Structure on a Smooth Tropical Cubic The Group Structure on a Smooth Tropica Cubic Ethan Lake Apri 20, 2015 Abstract Just as in in cassica agebraic geometry, it is possibe to define a group aw on a smooth tropica cubic curve. In this note,

More information

Numerical methods for PDEs FEM - abstract formulation, the Galerkin method

Numerical methods for PDEs FEM - abstract formulation, the Galerkin method Patzhater für Bid, Bid auf Titefoie hinter das Logo einsetzen Numerica methods for PDEs FEM - abstract formuation, the Gaerkin method Dr. Noemi Friedman Contents of the course Fundamentas of functiona

More information

EXISTENCE OF SOLUTIONS FOR ONE-DIMENSIONAL WAVE EQUATIONS WITH NONLOCAL CONDITIONS

EXISTENCE OF SOLUTIONS FOR ONE-DIMENSIONAL WAVE EQUATIONS WITH NONLOCAL CONDITIONS Eectronic Journa of Differentia Equations, Vo. 21(21), No. 76, pp. 1 8. ISSN: 172-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu (ogin: ftp) EXISTENCE OF SOLUTIONS

More information

K a,k minors in graphs of bounded tree-width *

K a,k minors in graphs of bounded tree-width * K a,k minors in graphs of bounded tree-width * Thomas Böhme Institut für Mathematik Technische Universität Imenau Imenau, Germany E-mai: tboehme@theoinf.tu-imenau.de and John Maharry Department of Mathematics

More information

NEW FIBONACCI-LIKE WILD ATTRACTORS FOR UNIMODAL INTERVAL MAPS ZHANG RONG. (B.Sc., Nanjing University, China)

NEW FIBONACCI-LIKE WILD ATTRACTORS FOR UNIMODAL INTERVAL MAPS ZHANG RONG. (B.Sc., Nanjing University, China) NEW FIBONACCI-LIKE WILD ATTRACTORS FOR UNIMODAL INTERVAL MAPS ZHANG RONG B.Sc., Nanjing University, China) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY DEPARTMENT OF MATHEMATICS NATIONAL UNIVERSITY

More information

Identites and properties for associated Legendre functions

Identites and properties for associated Legendre functions Identites and properties for associated Legendre functions DBW This note is a persona note with a persona history; it arose out off y incapacity to find references on the internet that prove reations that

More information

Interpolation of Sobolev spaces, Littlewood-Paley inequalities and Riesz transforms on graphs

Interpolation of Sobolev spaces, Littlewood-Paley inequalities and Riesz transforms on graphs Interpoation of Soboev spaces, Littewood-Paey inequaities and Riesz transforms on graphs Nadine Badr Emmanue Russ Université aude Bernard Université Pau ézanne Apri 6, 009 Abstract. Let Γ be a graph endowed

More information

Assignment 7 Due Tuessday, March 29, 2016

Assignment 7 Due Tuessday, March 29, 2016 Math 45 / AMCS 55 Dr. DeTurck Assignment 7 Due Tuessday, March 9, 6 Topics for this week Convergence of Fourier series; Lapace s equation and harmonic functions: basic properties, compuations on rectanges

More information

Algorithms to solve massively under-defined systems of multivariate quadratic equations

Algorithms to solve massively under-defined systems of multivariate quadratic equations Agorithms to sove massivey under-defined systems of mutivariate quadratic equations Yasufumi Hashimoto Abstract It is we known that the probem to sove a set of randomy chosen mutivariate quadratic equations

More information

More Scattering: the Partial Wave Expansion

More Scattering: the Partial Wave Expansion More Scattering: the Partia Wave Expansion Michae Fower /7/8 Pane Waves and Partia Waves We are considering the soution to Schrödinger s equation for scattering of an incoming pane wave in the z-direction

More information

Symbolic models for nonlinear control systems using approximate bisimulation

Symbolic models for nonlinear control systems using approximate bisimulation Symboic modes for noninear contro systems using approximate bisimuation Giordano Poa, Antoine Girard and Pauo Tabuada Abstract Contro systems are usuay modeed by differentia equations describing how physica

More information

Monomial Hopf algebras over fields of positive characteristic

Monomial Hopf algebras over fields of positive characteristic Monomia Hopf agebras over fieds of positive characteristic Gong-xiang Liu Department of Mathematics Zhejiang University Hangzhou, Zhejiang 310028, China Yu Ye Department of Mathematics University of Science

More information

Haar Decomposition and Reconstruction Algorithms

Haar Decomposition and Reconstruction Algorithms Jim Lambers MAT 773 Fa Semester 018-19 Lecture 15 and 16 Notes These notes correspond to Sections 4.3 and 4.4 in the text. Haar Decomposition and Reconstruction Agorithms Decomposition Suppose we approximate

More information

c 2007 Society for Industrial and Applied Mathematics

c 2007 Society for Industrial and Applied Mathematics SIAM REVIEW Vo. 49,No. 1,pp. 111 1 c 7 Society for Industria and Appied Mathematics Domino Waves C. J. Efthimiou M. D. Johnson Abstract. Motivated by a proposa of Daykin [Probem 71-19*, SIAM Rev., 13 (1971),

More information