DERIVATION OF OROWAN S LAW FROM THE PEIERLS-NABARRO MODEL. Régis Monneau. Stefania Patrizi

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "DERIVATION OF OROWAN S LAW FROM THE PEIERLS-NABARRO MODEL. Régis Monneau. Stefania Patrizi"

Transcript

1 DERIVATION OF OROWAN S LAW FROM THE PEIERLS-NABARRO MODEL Régis Monneau Université Paris-Est, CERMICS, Ecole des Ponts ParisTech, 6-8 avenue Blaise Pascal, Cité Descartes, Champs sur Marne, Marne la Vallée Cedex, France Stefania Patrizi Instituto Superior Técnico, Dep. de Matemática Av. Rovisco Pais Lisboa, Portugal Abstract. In this paper we consider the time dependent Peierls-Nabarro model in dimension one. This model is a semi-linear integro-differential equation associated to the half Laplacian. This model describes the evolution of phase transitions associated to dislocations. At large scale with well separated dislocations, we show that the dislocations move at a velocity proportional to the effective stress. This implies Orowan s law which claims that the plastic strain velocity is proportional to the product of the density of dislocations by the effective stress.. Introduction.. Setting of the problem. In this paper we consider a one-dimensional Peierls- Nabarro model, describing the motion of dislocations in crystals. In this model dislocations can be seen as phase transitions of a function u ɛ solving the following equation for ɛ = (.) { t u ɛ = I [u ɛ (t, )] W ( u ɛ ɛ in R + R u ɛ (0, x) = u 0 (x) on R. Here I = ( ) is the half Laplacian whose expression will be made precise later in (.8) and W is a one periodic potential which describes the misfit of atoms in the crystal created by the presence of dislocations. Equation (.) models the dynamics of parallel straight edge dislocation lines in the same slip plane with the same Burgers vector, moving with self-interactions. In other words equation (.) simply describes the motion of dislocations by relaxation of the total energy (elastic + misfit). For a physical introduction to the Peierls-Nabarro model, see for instance [9], [4]; we also refer the reader to the paper of Nabarro [3] which presents an historical tour on the Peierls- Nabarro model. The Peierls-Nabarro model has been originally introduced as a variational (stationary) model (see [3]). The model considered in the present paper, i.e. the time evolution Peierls-Nabarro model as a gradient flow dynamics has only been introduced quite recently, see for instance [] and [4], and [] where this model is also presented. See also the paper [3] that initiated several other works about jump-diffusion reaction equations. )

2 In [] we study the it as ɛ 0 of the viscosity solution u ɛ of (.) in higher dimensions and with additional periodic terms. Under certain assumptions, we show in particular that u ɛ converges to the solution of the following equation: { t u = H(u x, I [u(t, )]) in R + R (.) u(0, x) = u 0 (x) on R. In mechanics, equation (.) can be interpreted as a plastic flow rule, which expresses the plastic strain velocity t u as a function H of the dislocation density u x and the effective stress I [u] created by the density of dislocations. Mathematically the function H, usually called effective Hamiltonian, is determined by the following auxiliary problem: { τ v = L + I [v(τ, )] W (v) in R + R (.3) v(0, y) = py on R. Here the quantity L appears to be an additional constant stress field. Indeed, we have Theorem. (Theorem., []). Assume that W C, (R) and W is -periodic. For every L R and p R, there exists a unique viscosity solution v C(R + R) of (.3) and there exists a unique λ R such that v py λτ is bounded in R + R. The real number λ is denoted by H(p, L). The function H(p, L) is continuous on R and non-decreasing in L. This is the starting point of this paper. Our goal is to study the behaviour of H(p, L) for small p and L, and in this regime to recover Orowan s law, which claims that (.4) H(p, L) c 0 p L for some constant of proportionality c 0 > 0... Main result. In order to describe our main result, we need the following assumptions on the potential W : W C 4,β (R) for some 0 < β < W (v + ) = W (v) for any v R (.5) W = 0 on Z W > 0 on R \ Z α = W (0) > 0. Under (.5), it is in particular known (see Cabré and Solà-Morales []) that there exists a unique function φ solution of I [φ] = W (φ) in R (.6) φ > 0 in R x φ(x) = 0, x + φ(x) =, φ(0) =. Our main result is the following: Theorem. (Orowan s law). Assume (.5) and let p 0, L 0 R. Then the function H defined in Theorem. satisfies ( ) H(δp 0, δl 0 ) (.7) c δ 0 p 0 L 0 as δ 0 + with c 0 = (φ ). R

3 Theorem. shows that in the it of small density of dislocations p and small stress L, the effective Hamiltonian H follows Orowan s law (.4). This implies that in this regime, the plastic strain velocity t u in (.) is proportional to the dislocation density u x times the effective stress I [u], i.e. t u c 0 u x I [u(t, )]. Notice that this last equation has been proposed by Head [8] and self-similar solutions have been studied mathematically in []. Notice that in homogenization problems the effective Hamiltonian is usually unknown. Explicit formulas for H are known only in very special cases, see for instance [0]. The result of Theorem. provides an other example of explicit expression for a particular homogenization problem. Finally we give the precise expression (the Lévy-Khintchine formula in Thm of [5]) of the Lévy operator I of order. For bounded C - functions U and for r > 0, we set (.8) I [U](x) = I [U, x] = z r (U(x + z) U(x) du(x) dx z)µ(dz) + + z) U(x))µ(dz), with µ(dz) = z >r(u(x π Notice that this expression is independent on the choice of r > 0, because of the antisymmetry of zµ(dz). More generally, when U is C such that U l is bounded with l a linear function, we simply define I [U](x) = I [U, x] = (U(x + z) U(x))µ(dz) r Organization of the article. r< z </r In Section, we present the main ideas which allow us to prove Orowan s law and give the proof of the main theorem (Theorem.). This proof is based on Proposition. which claims asymptotics satisfied by a good Ansatz (see (.4)). The remaining part of the paper is then devoted to the proof of Proposition.. In Section 3, we recall in Lemmata 3. and 3., useful asymptotics respectively on the transition layer φ and some corrector ψ. The main result of this section is some asymptotics on the non linear PDE evaluated on the Ansatz. In Section 4, we do the proof of Proposition.. Finally in an appendix (Section 5), we give the proof of Lemmata 3. and 3.. We also give the proof of five claims used in Section 3 and a technical lemma (Lemma 4.) used in Section 4.. Ideas and proof of Orowan s law (Theorem.) dz z. 3.. Heuristic for the proof of Orowan s law. The idea underlying the proof of Orowan s law is related to a fine asymptotics of equation (.3). It is also known (see [7]) that if v solves (.3) with L = δl 0, i.e. (.) τ v = δl 0 + I [v(τ, )] W (v)

4 4 for a choice of initial data with a finite number of indices i: v(0, y) = δl 0 α + ( ) φ y x0 i + ( ( ) φ y x0 i δ δ x 0 i 0 x 0 i <0 ) where α = W (0) > 0 (defined in (.5)), then ( t v δ (t, x) = v δ, x ) v 0 (t, x) = H(x x i (t)) + (H(x x i (t)) ) δ x 0 i 0 x 0 i <0 as δ 0 where H is the Heaviside function and with the dynamics ( ) dx i dt = c 0 L 0 + π x (.) i x j j i x i (0) = x 0 i. Moreover for the choice p = δp 0 with p 0 > 0 and x 0 i = i/p 0 that we extend formally for all i Z, we see (at least formally) that v(0, y) δp 0 y C δ. This suggests also that the infinite sum in (.) should vanish (by antisymmetry) and then the mean velocity should be dx i dt c 0L 0 i.e., after scaling back v(τ, y) δp 0 (y c τ) + bounded with the velocity c = d(x i/δ) d(t/δ ) c 0L 0 δ i.e., v(τ, y) δp 0 y + λτ + bounded with λ δ c 0 p 0 L 0. We deduce that we should have v(τ, y) λ δ c 0 p 0 L 0 as τ +. τ We see that this λ = H(δp 0, δl 0 ) is exactly the one we expect asymptotically in Theorem. when p 0 > 0... The ansatz used in the proofs. In the spirit of [6], one may expect to find particular solutions v of (.) that we can write v(τ, y) = h(δp 0 y + λτ) for some λ R and a function h (called hull function) satisfying This means that h solves h(z) z C. λh = δl 0 + δ p 0 I [h] W (h).

5 5 Then it is natural to introduce the non linear operator: (.3) NL λ L 0 [h] := λh δl 0 δ p 0 I [h] + W (h) and for the ansatz for λ: λ L 0 δ = δ c 0 p 0 L 0 it is natural to look for an ansatz h L 0 δ for h. The answer is indicated by the heuristic of subsection.. Indeed we define (see Proposition.) h L 0 δ (x) = n + sl 0 δ,n (x) where for all p 0 0, L 0 R, δ > 0 and n N we define the sequence of functions {s L 0 δ,n (x)} n by (.4) s L 0 δ,n (x) = δl 0 α + [ φ ( ) x i + δψ δ p 0 ( )] x i n δ p 0 where α = W (0) > 0, φ is the solution of (.6) and the corrector ψ is the solution of the following problem I [ψ] = W (φ)ψ + L 0 (φ) W (0)) + cφ W (0) in R (.5) x + c = L 0 R (φ ). From [7], it is known that there exists a unique ψ solution of (.5). Moreover this corrector ψ has been introduced naturally in [7] in order to perform part of the analysis presented in the heuristic (subsection.), and this is then natural to use it here in our ansatz. We will prove later the following result which justifies that the ansatz is indeed a good ansatz as expected. Proposition.. (Good ansatz) Assume (.5). For any L R, δ > 0 and x R, there exists the finite it h L δ (x) = Moreover h L δ has the following properties: (i) h L δ C (R) and satisfies n + sl δ,n(x). NL λl δ L [hl δ ](x) = o(δ), where δ 0 o(δ) δ = 0, uniformly for x R and locally uniformly in L R; Here λ L δ = δ c 0 p 0 L and NL λ L is defined in (.3). (ii) There exists a constant C > 0 such that h L δ (x) x C for any x R.

6 6.3. Proof of Theorem.. We will show that Theorem. follows from Proposition., and the comparison principle. Fix η > 0 and let L = L 0 η. By (i) of Proposition., there exists δ 0 = δ 0 (η) > 0 such that for any δ (0, δ 0 ) we have (.6) NL λl δ L 0 [h L δ ] = NL λl δ L [hl δ ] δη < 0 in R. Let us consider the function ṽ(τ, y), defined by By (ii) of Proposition., we have ṽ(τ, y) = h L δ (δp 0 y + λ L δ τ). (.7) ṽ(τ, y) δp 0 y λ L δ τ C, where C is the ceil integer part of C. Moreover, by (.6) and (.7), ṽ satisfies { ṽτ δl 0 + I [ṽ] W (ṽ) in R + R ṽ(0, y) δp 0 y + C on R. Let v(τ, y) be the solution of (.3), with p = δp 0 and L = δl 0, whose existence is ensured by Theorem.. Then from the comparison principle and the periodicity of W, we deduce that By the previous inequality and (.7), we get ṽ(τ, y) v(τ, y) + C. λ L δ τ v(τ, y) δp 0 y + C, and dividing by τ and letting τ go to +, we finally obtain Similarly, it is possible to show that δ c 0 p 0 (L 0 η) = λ L δ H(δp 0, δl 0 ). H(δp 0, δl 0 ) δ c 0 p 0 (L 0 + η). We have proved that for any η > 0 there exists δ 0 = δ 0 (η) > 0 such that for any δ (0, δ 0 ) we have H(δp 0, δl 0 ) c δ 0 p 0 L 0 c 0 p 0 η, i.e. (.7), as desired. 3. Preinary asymptotics The main goal of this section is to show Lemma 3.3 which is a first result in the direction of Proposition.. We start with preary results in a first subsection and prove Lemma 3.3 in the second subsection.

7 7 3.. Preinary results. On the function W, we assume (.5). Then there exists a unique solution of (.6) which is of class C,β, as shown by Cabré and Solà-Morales in []. Under (.5), the existence of a solution of class C,β of the problem (.5) is proved by Gonzáles and Monneau in [7]. Actually, the regularity of W implies, that φ C 4,β (R) and ψ C 3,β (R), see Lemma.3 in []. To prove Proposition. we need several preinary results. We first state the following two lemmata about the behavior of the functions φ and ψ at infinity. We denote by H(x) the Heaviside function defined by { for x 0 H(x) = 0 for x < 0. Then we have Lemma 3. (Behavior of φ). Assume (.5). Let φ be the solution of (.6), then there exist constants K 0, K > 0 such that (3.) φ(x) H(x) + απx K, for x, x and for any x R (3.) 0 < K 0 + x φ (x) K + x, (3.3) K + x φ (x) K + x, (3.4) K + x φ (x) K + x. Lemma 3. (Behavior of ψ). Assume (.5). Let ψ be the solution of (.5), then for any L R there exist constants K and K 3, with K 3 > 0, depending on L such that (3.5) ψ(x) K x K 3, for x, x and for any x R (3.6) K 3 + x ψ (x) K 3 + x, (3.7) K 3 + x ψ (x) K 3 + x. We postpone the proof of the two lemmata in the appendix (Section 5). For simplicity of notation we denote (for the rest of the paper) x i = x i δ p 0, φ(z) = φ(z) H(z), I [φ, x i ] = I [φ](x i ).

8 8 Then we have the following five claims (whose proofs are also postponed in the appendix (Section 5)). Claim : Let x = i 0 + γ, with i 0 Z and γ (, ], then + x i γ i= i γ as n +, i 0 (x i) + i= (i + γ) as n +, i=i 0 + (x i) + as n +. (i γ) i= Claim : For any x R the sequence {s L δ,n (x)} n converges as n +. Claim 3: The sequence {(s L δ,n ) } n converges on R as n +, uniformly on compact sets. Claim 4: The sequence {(s L δ,n ) } n converges on R as n +, uniformly on compact sets. Claim 5: For any x R the sequences n I [φ, x i ] and n I [ψ, x i ] converge as n First asymptotics. In order to do the proof of Proposition., we first get the following result: Lemma 3.3. (First asymptotics) We have where C is independent of x. Proof of Lemma 3.3. Cδ L n + NLλ δ L [sl δ,n](x) Cδ, Step : First computation Fix x R, let i 0 Z and γ (, ] be such that x = i0 + γ, let and n > i δ p 0 0. Then we have

9 9 A := NL λl δ L [sl δ,n](x) = λl δ δ p 0 [φ (x i ) + δψ (x i )] + W ( Lδ α + [I [φ, x i ] + δi [ψ, x i ]] ) [φ(x i ) + δψ(x i )] δl where we have used the definitions and the periodicity of W. Using the equation (.6) satisfied by φ, we can rewrite it as A = λl δ δ p 0 φ (x i0 ) + δψ (x i0 ) + δ I [ψ, x i ] + W ( Lδ α + [φ (x i ) + δψ (x i )] W ( φ(x i )) δi [ψ, x i0 ] ] ) [ φ(xi ) + δψ(x i ) W ( φ(x i0)) δl Using the definition of λ L δ and a Taylor expansion of W, we get A = δc 0 L φ (x i0 ) + δψ (x i0 ) + [φ δi [ψ, x i0 ] + W (φ(x i0 )) Lδ α + δψ(x i 0 ) + (x i ) + δψ (x i )] W (0) φ(xi ) δ [ φ(xi ) + δψ(x i )] δl + E I [ψ, x i ] with the error term E = O( φ(x i )) + O Lδ α + δψ(x i 0 ) + [ φ(xi ) + δψ(x i )] Simply reorganizing the terms, we get with c = c 0 L:

10 0 A = δc 0 L δψ (x i0 ) + + W (φ(x i0 )) [φ (x i ) + δψ (x i )] W (0) [ φ(xi ) + δψ(x i )] φ(xi ) δ ( + δ I [ψ, x i0 ] + W (φ(x i0 ))ψ(x i0 ) + L α W (φ(x i0 )) L + cφ (x i0 ) I [ψ, x i ] ) + E Using equation (.5) satisfied by ψ, we get A = δc 0 L δψ (x i0 ) + δ [φ I [ψ, x i ] + W (φ(x i0 ))δ (x i ) + δψ (x i )] + (W (φ(x i0 )) W (0)) ψ(x i ) + E Step : Bound on n [φ (x i ) + δψ (x i )] φ(xi ) Let us bound the second term of the last equality, uniformly in x. From (3.) and (3.6) it follows that δ 3 p 0 K 3 (x i) (x i ) + δψ (x i )] δ p 0 (K + δk 3 ) (x i), and then by Claim we get [φ (3.8) Cδ 3 n + [φ (x i ) + δψ (x i )] Cδ. Here and henceforth, C denotes various positive constants independent of x. Step 3: Bound on (W (φ(x i0 )) W (0)) n φ(xi ) Now, let us prove that (3.9) Cδ n + (W (φ(x i0 )) W (0)) φ(xi ) Cδ. By (3.) we have (3.0) φ(xi ) + δ p 0 απ K δ p 0 x i (x i).

11 If γ δ p 0, then again from (3.), φ(x i0 ) + δ p 0 K απγ δ p 0 γ which implies that W ( φ(x i0 )) W (0) W (0) φ(x i0 ) + O( φ(x i0 )) C δ γ + C δ γ. By the previous inequality, (3.0) and Claim we deduce that ( ) (W (φ(x i0 )) W δ (0)) φ(xi ) C n + γ + δ (δ γ + δ ) Cδ, γ where C is independent of γ. Finally, if γ < δ p 0, from (3.0) and Claim we conclude that (W (φ(x i0 )) W (0)) φ(xi ) Cδ γ + Cδ Cδ, n + and (3.9) is proved. Step 4: Bound on δ n I [ψ, x i ] We have (3.) I [ψ] = W ( φ)ψ + L α (W ( φ) W (0))+cφ = W (0)ψ + L α W (0) φ+o( φ)ψ +O( φ) +cφ. Then by (3.), (3.), (3.), (3.5) and Claim, we have (3.) δ I [ψ, x i ] Cδ. n + Step 5: Bound on W (φ(x i0 ))δ n ψ(x i ) Similarly (3.3) W (φ(x i0 ))δ ψ(x i ) n + Cδ. Step 6: Bound on the remaining part E Finally, still from (3.), (3.5), and Claim it follows that (3.4) ( φ(x i )) + O Lδ n + α + δψ(x i 0 ) + [ φ(xi ) + δψ(x i )] Step 7: Conclusion Therefore, from (3.8), (3.9), (3.), (3.3) and (3.4) we conclude that Cδ L n + NLλ δ L [sl δ,n] Cδ Cδ.

12 with C independent of x and Lemma 3.3 is proved. 4. Proof of Proposition. In order to perform the proof of Proposition., we will use the following technical result whose proof is postponed to the appendix. Lemma 4.. (Vanishing far away contribution) We have (4.) [s L δ,n(x + y) s L δ,n(x)]µ(dy) = 0. and a + n + y a We also need to introduce the notation I[f, x] = [f(x + y) f(x) f (x)y]µ(dy) y < I[f, x] = y [f(x + y) f(x)]µ(dy). Proof of Proposition. Step : proof of ii) Let x = i 0 + γ with i 0 Z and γ (, ]. Let and n > i δ p 0 0, then by (3.) and (3.5) we get s L δ,n(x) x = Lδ α + φ(x i 0 ) + δψ(x i0 ) n i 0 γ + Then, by Claim = Lδ α + φ(x i 0 ) + δψ(x i0 ) γ + Lδ α δ ψ + Similarly we can prove that which concludes the proof of ii). h L δ (x) x = [ [φ(x i ) + δψ(x i )] [ φ(x i ) + δψ(x i )] ( ) απ δk δ p0 n + sl δ,n(x) x C. h L δ (x) x C, x i + (K + δk 3 ) δ p 0 (x i) Step : proof of i) The function h L δ (x) = n + s L δ,n (x) is well defined for any x R by Claim. Moreover, by Claim 3 and 4 and classical analysis results, it is of class C on R with (h L δ ) (x) = n + (sl δ,n) [ ( ) ( )] x i x i (x) = φ + δψ, n + δ p 0 δ p 0 δ p 0 ].

13 (h L δ ) (x) = n + (sl δ,n) (x) = n + δ p 0 [ ( ) ( )] x i x i φ + δψ, δ p 0 δ p 0 3 and the convergence of {s L δ,n } n, {(s L δ,n ) } n and {(s L δ,n ) } n is uniform on compact sets. Let us show that for any x R (4.) I [h L δ, x] = n + I [s L δ,n, x]. Step.: term I [h L δ, x] First, we prove that (4.3) I [h L δ, x] = n + I [s L δ,n, x]. Fix x R, we know that for any y [, ], y 0 s L δ,n (x + y) sl δ,n (x) (sl δ,n ) (x)y y hl δ (x + y) hl δ (x) (hl δ ) (x)y y as n +. By the uniform convergence of the sequence {(s L δ,n ) } n we have s L δ,n (x + y) sl δ,n (x) (sl δ,n ) (x)y sup (s L y δ,n) (z) C, z [x,x+] where C is indipendent of n, and (4.3) follows from the dominate convergence Theorem. Step.: term I [h L δ, x] Then, to prove (4.) it suffices to show that I [h L δ, x] = n + I [s L δ,n, x]. From Claim 5 and (4.3), we know that for any x R there exists n + I[s L δ,n, x]. For a >, we have I[s L δ,n, x] = [s L δ,n(x + y) s L δ,n(x)]µ(dy) + [s L δ,n(x + y) s L δ,n(x)]µ(dy). y a By the uniform convergence of {s L δ,n } n on compact sets y a [s L δ,n(x + y) s L δ,n(x)]µ(dy) = [h L δ (x + y) h L δ (x)]µ(dy), n + y a y a then there exists the it n + y a [s L δ,n(x + y) s L δ,n(x)]µ(dy).

14 4 Then, we finally get n + I [s L δ,n, x] = a + = n + I [s L δ,n, x] [s L δ,n(x + y) s L δ,n(x)]µ(dy) a + n + + a + n + = a + = I [h L δ, x], y a as desired, where we have used Lemma 4.. y a y >a [s L δ,n(x + y) s L δ,n(x)]µ(dy) [h L δ (x + y) h L δ (x)]µ(dy) Step.3: conclusion Now we can conclude the proof of (i). Indeed, by Claim, Claim 3 and (4.), for any x R and Lemma 3.3 implies that NL λl δ L [hl δ ](x) = where δ 0 o(δ) δ = 0, uniformly for x R. n + NLλ L δ L [sl δ,n](x), NL λl δ L [hl δ ](x) = o(δ), as δ 0, 5. Appendix In this appendix, we prove the following technical results used in the previous section: Lemmata 3. and 3., the Claims -5 and Lemma Proof of Lemma 3.. Properties (3.) and (3.) are proved in [7]. Let us show (3.3). For a > 0, we denote by φ a(x) = φ ( x a). Remark that φ a is a solution of I [φ a] = a W (φ a )φ a in R. Since φ is bounded and of class C,β, I [φ ] is well defined and by deriving twice the equation in (.6) we see that φ is a solution of I [φ ] = W (φ)φ + W (φ)(φ ). Let φ = φ Cφ a, with C > 0, then φ satisfies ( I [φ] W (φ)φ = Cφ a W (φ) ) a W (φ a ) + W (φ)(φ ) ( = Cφ a W (φ) ) ( ) a W (φ a ) + o, + x as x +, by (3.). Fix a > 0 and R > 0 such that { W (5.) (φ) W (φ a a ) > W (0) > 0 on R \ [ R, R]; W (φ) > 0, on R \ [ R, R].

15 Then from (3.), for C large enough we get Choosing C such that moreover I [φ] W (φ)φ 0 φ < 0 on R \ [ R, R]. on [ R, R], we can ensure that φ 0 on R. Indeed, assume by contradiction that there exists x 0 R \ [ R, R] such that φ(x 0 ) = sup φ > 0. R Then from which I [φ, x 0 ] 0; I [φ, x 0 ] W (φ(x 0 ))φ(x 0 ) 0; W (φ(x 0 )) > 0, φ(x 0 ) 0, a contradiction. Therefore φ 0 on R and then, by renaming the constants, from (3.) we get φ K. +x To prove that φ K, we look at the infimum of the function φ + Cφ +x a to get similarly that φ + Cφ a 0 on R. To show (3.4) we proceed as in the proof of (3.3). Indeed, the function φ which is bounded and of class C,β, satisfies ( ) I [φ ] = W (φ)φ + 3W (φ)φ φ + W IV (φ)(φ ) 3 = W (φ)φ + o, + x as x +, by (3.) and (3.3). Then, as before, for C and a large enough φ Cφ a 0 and φ + Cφ a 0 on R, which implies (3.4). 5.. Proof of Lemma 3.. Let us prove (3.5). For a > 0 we denote by φ a (x) = φ ( x a), which is solution of I [φ a ] = a W (φ a ) in R. Let a and b be positive numbers, then making a Taylor expansion of the derivatives of W, we get I [ψ (φ a φ b )] = W (φ)ψ + L ( α (W (φ) W (0)) + cφ + b W (φ b ) ) a W (φ a ) = W (φ)(ψ (φ a φ b )) + W ( φ)(φ a φ b ) + L α (W ( φ) W (0)) ( + cφ + b W ( φ b ) ) a W ( φ a ) = W (φ)(ψ (φ a φ b )) + W (0)(φ a φ b ) + L α W (0) φ + cφ ( + W (0) b φ b ) a φ a + (φ a φ b )O( φ) + O( φ) + O( φ a ) + O( φ b ), 5

16 6 and then the function ψ = ψ (φ a φ b ) satisfies I [ψ] W (φ)ψ = α(φ a φ b ) + L α W (0) φ + cφ + α ( b φ b ) a φ a + (φ a φ b )O( φ) + O( φ) + O( φ a ) + O( φ b ). We want to estimate the right-hand side of the last equality. By Lemma 3., for x max{, a, b } we have α(φ a φ b ) + L α W (0) φ [ (a b) + L ] πx α W (0) K ( α a + b + L ) x α W (0). Choose a, b > 0 such that (a b) + L α W (0) = 0, then α(φ a φ b ) + L α W (0) φ C x, for x max{, a, b }. Here and in what follows, as usual C denotes various positive constants. From Lemma 3. we also derive that ( α b φ b ) a φ a C x, and cφ C + x, (φ a φ b )O( φ) + O( φ) + O( φ a ) + O( φ b ) C + x, for x max{, a, b }. Then we conclude that there exists R > 0 such that for x R we have I [ψ] W (φ)ψ C + x. Now, let us consider the function φ d (x) = ( φ x d), d > 0, which is solution of and denote with C > 0. Then, for x R we have I [φ d] = d W (φ d )φ d in R, ψ = ψ Cφ d, I [ψ] W (φ)ψ C d W (φ d )φ d C + x = W (φ)ψ+ Cφ d ( W (φ) ) d W (φ d ) Let us choose d > 0 and R > R such that { W (φ) d W (φ d ) > W (0) > 0 on R \ [ R, R ]; W (φ) > 0 on R \ [ R, R ], then from (3.), for C large enough we get C + x. and I [ψ] W (φ)ψ 0 on R \ [ R, R ], ψ < 0 on [ R, R ].

17 7 As in the proof of Lemma 3., we deduce that ψ 0 on R and then ψ K x + K 3 for x, x for some K R and K 3 > 0. Looking at the function ψ (φ a φ b ) + Cφ d, we conclude similarly that ψ K x K 3 for x, x and (3.5) is proved. Now let us turn to (3.6). By deriving the first equation in (.5), we see that the function ψ which is bounded and of class C,β, is a solution of I [ψ ] = W (φ)ψ + W (φ)φ ψ + L α W (φ)φ + cφ in R. Then the function ψ = ψ Cφ a, satisfies ( I [ψ ] W (φ)ψ = Cφ a W (φ) ) a W (φ a ) + W (φ)φ ψ + L α W (φ)φ + cφ ( = Cφ a W (φ) ) ( ) a W (φ a ) + O, + x by (3.), (3.3) and (3.5), and as in the proof of Lemma 3., we deduce that for C and a large enough ψ 0 on R, which implies that ψ K 3. The inequality ψ K +x 3 is +x obtained similarly by proving that ψ + Cφ a 0 on R. Finally, with the same proof as before, using (3.)-(3.6), we can prove the estimate (3.7) for the function ψ which is a bounded C,β solution of I [ψ ] = W (φ)ψ + W (φ)φ ψ + W IV (φ)(φ ) ψ + W (φ)φ ψ + L α W (φ)φ + L α W IV (φ)(φ ) + cφ ( ) = W (φ)ψ + O. + x 5.3. Proof of Claims -5. Proof of Claim. We have for n > i 0 i0 x i = = i 0 + γ i + n γ i= n i0 γ i= n+i0 i= i=i 0 + n+i0 i 0 + γ i = i=, if i i γ 0 = 0 + n+i 0 i γ i=n i 0 +, if i i+γ 0 > 0 γ n i 0 i γ i=n+i 0 +, if i i γ 0 < 0 n i0 i + γ i= γ i γ + i= i γ as n +.

18 8 Let us prove the second it of the claim. Finally i 0 i=i 0 + n+i0 (x i) = i= n i0 (x i) = and the claim is proved. By Claim n, i 0 i i x i 0 for k > m > i 0 we have (5.) (5.3) and (5.4) m i= x i + m i=m+ (i + γ) + i= (i γ) + (x i) i=m+ i= and n i=i 0 + x i 0 (i + γ) as n +. (i γ) as n +, (x i) are Cauchy sequences and then as m, k +, 0 as m, k +, (x i) 0 as m, k +. (x i) Proof of Claim. We show that {s L δ,n (x)} n is a Cauchy sequence. Fix x R and let i 0 Z be the closest integer to x such that x = i 0 + γ, with γ (, ] and x i for i i 0. Let δ be so small that δ p 0, then x i δ p 0 for i i 0. Let k > m > i 0, using (3.) and (3.5) we get m s L δ,k(x) s L δ,m(x) = (k m) + [φ(x i ) + δψ(x i )] + [φ(x i ) + δψ(x i )] and = m [(φ(x i ) ) + δψ(x i )] + ( απ δk ) ( ) απ δk δ p 0 m δ p 0 i=m+ i=m+ i=m+ [φ(x i ) + δψ(x i )] m x i + (K + δk 3 )δ p 0 x i + (K + δk 3 )δ p 0 ( ) ( m s L δ,k(x) s L δ,m(x) απ δk δ p 0 x i + ( m (K + δk 3 )δ p 0 i=m+ (x i) + i=m+ i=m+ ) x i (x i) (x i) (x i), ).

19 9 Then from (5.), (5.3), (5.4), we conclude that as desired. s L δ,k(x) s L δ,m(x) 0 as m, k +, Proof of Claim 3. To prove the uniform convergence, it suffices to show that {(s L δ,n ) (x)} n is a Cauchy sequence uniformly on compact sets. Let us consider a bounded interval [a, b] and let x [a, b]. For δ p 0 and k > m > / + max{ a, b }, by (3.) and (3.6) we have (s L δ,k) (x) (s L δ,m) (x) = m [φ (x i ) + δψ (x i )] + [φ (x i ) + δψ (x i )] δ p 0 δ p 0 i=m+ [ m ] and (K + δk 3 )δ p 0 (K + δk 3 )δ p 0 (s L δ,k) (x) (s L δ,m) (x) K 3 δ p 0 Then by (5.3) and (5.4) and Claim 3 is proved. [ m [ m sup (s L δ,k) (x) (s L δ,m) (x) 0 x [a,b] Proof of Claim 4. Claim 4 can be proved like Claim 3. Indeed (s L δ,n) (x) = δ p 0 (x i) + i=m+ (a i) + i=m+ (a i) + i=m+ as k, m +, [φ (x i ) + δψ (x i )] (x i) (b i) ], ]. (b i) and using (3.3) and (3.7), it is easy to show that {(s L δ,n ) } n is a Cauchy sequence uniformly on compact sets. Proof of Claim 5. We have I [φ] = W (φ) = W ( φ) = W (0) φ + O( φ). Let x = i 0 + γ with γ (, ], and k > m > i0. From (3.), (5.), (5.3) and (5.4) we get m m I [φ, x i ] I [φ, x i ] = [α φ(x i ) + O( φ(x i )) ] + [α φ(x i ) + O( φ(x i )) ] δ p 0 π [ m i= m x i + i=m+ ] x i + C m i=m+ (x i) + C i=m+ (x i) 0,

20 0 as m, k +, for some constant C > 0, and m I [φ, x i ] I [φ, x i ] δ p 0 π [ m i= m x i + i=m+ ] m C x i (x i) C i=m+ (x i) 0, as m, k +. Then n I [φ, x i ] is a Cauchy sequence, i.e. it converges. Let us consider now n I [ψ, x i ]. By (3.), (3.), (3.) and (3.5) we get m I [ψ, x i ] I [ψ, x i ] and C [ m I [ψ, x i ] C [ m i= m x i + m i= m x i + i=m+ I [ψ, x i ] i=m+ ] m + C x i (x i) + C i=m+ ] m C x i (x i) C i=m+ (x i), (x i), for some C R and C > 0, which ensures the convergence of n I [ψ, x i ]. Proof of Lemma 4. Let δ p 0. We first remark that if z > n +, then z i = z i δ p 0 for i = n,..., n and by (3.) and (3.5) we have s L δ,n(z) = Lδ α + n + + [φ(z i ) + δψ(z i )] and Lδ α + n + + s L δ,n(z) Lδ α + n + + By Claim, the quantities n constant independent of n. Hence, we get [ ( ) ] απ δk δ p0 z i + (K + δk 3 ) δ p 0, (z i) [ ( ) ] απ δk δ p0 z i (K + δk 3 ) δ p 0. (z i) and n z i (z i) (5.5) n C s L δ,n(z) n + C if z > n +. The same argument shows that are uniformly bounded on R by a (5.6) n C s L δ,n(z) n + C if z < n.

21 If z < n, then n > j 0, where j 0 is the closest integer to z, and as in the proof of (ii) of Proposition. (see Step there), we get s L δ,n(z) z Lδ α δ ψ + and s L δ,n(z) z Lδ α δ ψ + Then, again by Claim i j 0 i j 0 [ ( ) ] απ δk δ p0 z i + (K + δk 3 ) δ p 0, (z i) [ ( ) ] απ δk δ p0 z i (K + δk 3 ) δ p 0. (z i) (5.7) C s L δ,n(z) z C if z < n. Now, let i 0 Z be the closest integer to x, let us assume n > i a. We have [s L δ,n(x + y) s L δ,n(x)]µ(dy) = [s L δ,n(x + y) s L δ,n(x)]µ(dy) y a + a y <n i 0 [...]µ(dy) + [...]µ(dy). n i 0 y n++ i 0 y >n++ i 0 If y < n i 0, then x + y < n and by (5.7) [s L δ,n(x + y) s L δ,n(x)]µ(dy) (y + C)µ(dy) a y <n i 0 = a y n i 0 a y n i 0 and [s L δ,n(x + y) s L δ,n(x)]µ(dy) C a. a y <n i 0 Then (5.8) a + n + a y n i 0 [s L δ,n(x + y) s L δ,n(x)]µ(dy) = 0. Cµ(dy) C a, Next, since s L δ,n (z) Cn for any z R, we have [s L δ,n(x + y) s L δ,n(x)]µ(dy) (5.9) n i 0 y n++ i 0 Cn n i 0 y n++ i 0 µ(dy) = C n( i 0 + ) n ( i 0 + ) 0 as n +.

22 Finally, if y > n + + i 0, then x + y > n +, while if y < n i 0, then x + y < n. Hence, using (5.5) and (5.6), we obtain [s L δ,n(x + y) s L δ,n(x)]µ(dy) and y >n++ i 0 = = y>n++ i 0 y>n++ i 0 y >n++ i 0 y >n++ i 0 We deduce that [s L δ,n(x + y) s L δ,n(x)]µ(dy) + [n + C s L δ,n(x)]µ(dy) + [C s L δ,n(x)]µ(dy), y< n i 0 y< n i 0 [s L δ,n(x + y) s L δ,n(x)]µ(dy) [s L δ,n(x + y) s L δ,n(x)]µ(dy) [ n + C s L δ,n(x)]µ(dy) y >n++ i 0 [s L δ,n(x + y) s L δ,n(x)]µ(dy) = 0. n + y >n++ i 0 [ C s L δ,n(x)]µ(dy). Hence, by the previous it, (5.8) and (5.9), we derive (4.). This ends the proof of Lemma 4.. References [] P. Biler, G. Karch, R. Monneau Nonlinear diffusion of dislocation density and self-similar solutions, Communications in Mathematical Physics, 94 (00), no., [] X. Cabré and J. Solà-Morales, Layer solutions in a half-space for boundary reactions, Comm. Pure Appl. Math., 58 (005) no., [3] A. De Masi, E. Orlandi, E. Presutti and L. Triolo, Motion by curvature by scaling nonlocal evolution equations, J. Statist. Phys., 73 (993), [4] C. Denoual, Dynamic dislocation modeling by combining Peierls Nabarro and Galerkin methods, Phys. Rev. B, 70 (004), [5] J. Droniou and C. Imbert, Fractal first order partial differential equations, Archive for Rational Mechanics and Analysis, 8 (006), no., [6] N. Forcadel, C. Imbert and R. Monneau, Homogenization of fully overdamped Frenkel- Kontorova models, Journal of Differential Equations, 46 (009), no., [7] M. González and R. Monneau, Slow motion of particle systems as a it of a reaction-diffusion equation with half-laplacian in dimension one, preprint hal [8] A. K. Head Dislocation group dynamics III. Similarity solutions of the continuum approximation, Phil. Magazine, 6, (97), [9] J. R. Hirth and L. Lothe, Theory of dislocations, Second Edition. Malabar, Florida: Krieger, 99. [0] P. L. Lions, G. C. Papanicolaou and S. R. S. Varadhan, Homogenization of Hamilton-Jacobi equations, unpublished, 986. [] R. Monneau and S. Patrizi, Homogenization of the Peierls-Nabarro model for dislocation dynamics, preprint. [] A.B. Movchan, R. Bullough, J.R. Willis, Stability of a dislocation: discrete model, Eur. J. Appl. Math. 9 (998), [3] F.R.N. Nabarro, Fifty-year study of the Peierls-Nabarro stress, Material Science and Engineering A (997),

23 [4] H. Wei, Y. Xiang, P. Ming, A Generalized Peierls-Nabarro Model for Curved Dislocations Using Discrete Fourier Transform, Communications in computational physics 4() (008), address: monneau@cermics.enpc.fr address: spatrizi@math.ist.utl.pt 3

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

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

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

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

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

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

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

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

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

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

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

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

derivation of the Laplacian from rectangular to spherical coordinates

derivation of the Laplacian from rectangular to spherical coordinates derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used

Διαβάστε περισσότερα

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

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Srednicki Chapter 55

Srednicki Chapter 55 Srednicki Chapter 55 QFT Problems & Solutions A. George August 3, 03 Srednicki 55.. Use equations 55.3-55.0 and A i, A j ] = Π i, Π j ] = 0 (at equal times) to verify equations 55.-55.3. This is our third

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 8 Model Solution Section MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx

Διαβάστε περισσότερα

6.3 Forecasting ARMA processes

6.3 Forecasting ARMA processes 122 CHAPTER 6. ARMA MODELS 6.3 Forecasting ARMA processes The purpose of forecasting is to predict future values of a TS based on the data collected to the present. In this section we will discuss a linear

Διαβάστε περισσότερα

SOME PROPERTIES OF FUZZY REAL NUMBERS

SOME PROPERTIES OF FUZZY REAL NUMBERS Sahand Communications in Mathematical Analysis (SCMA) Vol. 3 No. 1 (2016), 21-27 http://scma.maragheh.ac.ir SOME PROPERTIES OF FUZZY REAL NUMBERS BAYAZ DARABY 1 AND JAVAD JAFARI 2 Abstract. In the mathematical

Διαβάστε περισσότερα

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

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch: HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying

Διαβάστε περισσότερα

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

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

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

Partial Differential Equations in Biology The boundary element method. March 26, 2013 The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence Classes of Invertible Matrices of Order 3 over F 2 International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and

Διαβάστε περισσότερα

Lecture 2. Soundness and completeness of propositional logic

Lecture 2. Soundness and completeness of propositional logic Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness

Διαβάστε περισσότερα

D Alembert s Solution to the Wave Equation

D Alembert s Solution to the Wave Equation D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

New bounds for spherical two-distance sets and equiangular lines

New bounds for spherical two-distance sets and equiangular lines New bounds for spherical two-distance sets and equiangular lines Michigan State University Oct 8-31, 016 Anhui University Definition If X = {x 1, x,, x N } S n 1 (unit sphere in R n ) and x i, x j = a

Διαβάστε περισσότερα

The semiclassical Garding inequality

The semiclassical Garding inequality The semiclassical Garding inequality We give a proof of the semiclassical Garding inequality (Theorem 4.1 using as the only black box the Calderon-Vaillancourt Theorem. 1 Anti-Wick quantization For (q,

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

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

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

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

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

Διαβάστε περισσότερα

The Pohozaev identity for the fractional Laplacian

The Pohozaev identity for the fractional Laplacian The Pohozaev identity for the fractional Laplacian Xavier Ros-Oton Departament Matemàtica Aplicada I, Universitat Politècnica de Catalunya (joint work with Joaquim Serra) Xavier Ros-Oton (UPC) The Pohozaev

Διαβάστε περισσότερα

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation

Overview. Transition Semantics. Configurations and the transition relation. Executions and computation Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition

Διαβάστε περισσότερα

5. Choice under Uncertainty

5. Choice under Uncertainty 5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation

Διαβάστε περισσότερα

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

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

Homomorphism in Intuitionistic Fuzzy Automata

Homomorphism in Intuitionistic Fuzzy Automata International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic

Διαβάστε περισσότερα

Lecture 13 - Root Space Decomposition II

Lecture 13 - Root Space Decomposition II Lecture 13 - Root Space Decomposition II October 18, 2012 1 Review First let us recall the situation. Let g be a simple algebra, with maximal toral subalgebra h (which we are calling a CSA, or Cartan Subalgebra).

Διαβάστε περισσότερα

CRASH COURSE IN PRECALCULUS

CRASH COURSE IN PRECALCULUS CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter

Διαβάστε περισσότερα

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

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R + Chapter 3. Fuzzy Arithmetic 3- Fuzzy arithmetic: ~Addition(+) and subtraction (-): Let A = [a and B = [b, b in R If x [a and y [b, b than x+y [a +b +b Symbolically,we write A(+)B = [a (+)[b, b = [a +b

Διαβάστε περισσότερα

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

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1 Arithmetical applications of lagrangian interpolation Tanguy Rivoal Institut Fourier CNRS and Université de Grenoble Conference Diophantine and Analytic Problems in Number Theory, The 00th anniversary

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Section 7.6 Double and Half Angle Formulas

Section 7.6 Double and Half Angle Formulas 09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)

Διαβάστε περισσότερα

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

forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We

Διαβάστε περισσότερα

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

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

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

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

Lecture 34 Bootstrap confidence intervals

Lecture 34 Bootstrap confidence intervals Lecture 34 Bootstrap confidence intervals Confidence Intervals θ: an unknown parameter of interest We want to find limits θ and θ such that Gt = P nˆθ θ t If G 1 1 α is known, then P θ θ = P θ θ = 1 α

Διαβάστε περισσότερα

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

Solution Series 9. i=1 x i and i=1 x i. Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS

MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS MINIMAL CLOSED SETS AND MAXIMAL CLOSED SETS FUMIE NAKAOKA AND NOBUYUKI ODA Received 20 December 2005; Revised 28 May 2006; Accepted 6 August 2006 Some properties of minimal closed sets and maximal closed

Διαβάστε περισσότερα

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013 Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering

Διαβάστε περισσότερα

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

MATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3) 1. MATH43 String Theory Solutions 4 x = 0 τ = fs). 1) = = f s) ) x = x [f s)] + f s) 3) equation of motion is x = 0 if an only if f s) = 0 i.e. fs) = As + B with A, B constants. i.e. allowe reparametrisations

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions to Exercise Sheet 5 Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X

Διαβάστε περισσότερα

Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1

Main source: Discrete-time systems and computer control by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 Main source: "Discrete-time systems and computer control" by Α. ΣΚΟΔΡΑΣ ΨΗΦΙΑΚΟΣ ΕΛΕΓΧΟΣ ΔΙΑΛΕΞΗ 4 ΔΙΑΦΑΝΕΙΑ 1 A Brief History of Sampling Research 1915 - Edmund Taylor Whittaker (1873-1956) devised a

Διαβάστε περισσότερα

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)

Διαβάστε περισσότερα

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

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο

Διαβάστε περισσότερα

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ. PHY 396 T: SUSY Solutions for problem set #1. Problem 2(a): First of all, [D α, D 2 D α D α ] = {D α, D α }D α D α {D α, D α } = {D α, D α }D α + D α {D α, D α } (S.1) = {{D α, D α }, D α }. Second, {D

Διαβάστε περισσότερα

Second Order RLC Filters

Second Order RLC Filters ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor

Διαβάστε περισσότερα

Forced Pendulum Numerical approach

Forced Pendulum Numerical approach Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.

Διαβάστε περισσότερα

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

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog

The kinetic and potential energies as T = 1 2. (m i η2 i k(η i+1 η i ) 2 ). (3) The Hooke s law F = Y ξ, (6) with a discrete analog Lecture 12: Introduction to Analytical Mechanics of Continuous Systems Lagrangian Density for Continuous Systems The kinetic and potential energies as T = 1 2 i η2 i (1 and V = 1 2 i+1 η i 2, i (2 where

Διαβάστε περισσότερα

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl

Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Around Vortices: from Cont. to Quantum Mech. Global nonlinear stability of steady solutions of the 3-D incompressible Euler equations with helical symmetry and with no swirl Maicon José Benvenutti (UNICAMP)

Διαβάστε περισσότερα

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

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

STABILITY FOR RAYLEIGH-BENARD CONVECTIVE SOLUTIONS OF THE BOLTZMANN EQUATION

STABILITY FOR RAYLEIGH-BENARD CONVECTIVE SOLUTIONS OF THE BOLTZMANN EQUATION STABILITY FOR RAYLEIGH-BENARD CONVECTIVE SOLUTIONS OF THE BOLTZMANN EQUATION L.Arkeryd, Chalmers, Goteborg, Sweden, R.Esposito, University of L Aquila, Italy, R.Marra, University of Rome, Italy, A.Nouri,

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

Space-Time Symmetries

Space-Time Symmetries Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a

Διαβάστε περισσότερα

9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr

9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr 9.9 #. Area inside the oval limaçon r = + cos. To graph, start with = so r =. Compute d = sin. Interesting points are where d vanishes, or at =,,, etc. For these values of we compute r:,,, and the values

Διαβάστε περισσότερα

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

Διαβάστε περισσότερα

( y) Partial Differential Equations

( y) Partial Differential Equations Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate

Διαβάστε περισσότερα

Commutative Monoids in Intuitionistic Fuzzy Sets

Commutative Monoids in Intuitionistic Fuzzy Sets Commutative Monoids in Intuitionistic Fuzzy Sets S K Mala #1, Dr. MM Shanmugapriya *2 1 PhD Scholar in Mathematics, Karpagam University, Coimbatore, Tamilnadu- 641021 Assistant Professor of Mathematics,

Διαβάστε περισσότερα

Chapter 3: Ordinal Numbers

Chapter 3: Ordinal Numbers Chapter 3: Ordinal Numbers There are two kinds of number.. Ordinal numbers (0th), st, 2nd, 3rd, 4th, 5th,..., ω, ω +,... ω2, ω2+,... ω 2... answers to the question What position is... in a sequence? What

Διαβάστε περισσότερα

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω 0 1 2 3 4 5 6 ω ω + 1 ω + 2 ω + 3 ω + 4 ω2 ω2 + 1 ω2 + 2 ω2 + 3 ω3 ω3 + 1 ω3 + 2 ω4 ω4 + 1 ω5 ω 2 ω 2 + 1 ω 2 + 2 ω 2 + ω ω 2 + ω + 1 ω 2 + ω2 ω 2 2 ω 2 2 + 1 ω 2 2 + ω ω 2 3 ω 3 ω 3 + 1 ω 3 + ω ω 3 +

Διαβάστε περισσότερα

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q)

Online Appendix I. 1 1+r ]}, Bψ = {ψ : Y E A S S}, B W = +(1 s)[1 m (1,0) (b, e, a, ψ (0,a ) (e, a, s); q, ψ, W )]}, (29) exp( U(d,a ) (i, x; q) Online Appendix I Appendix D Additional Existence Proofs Denote B q = {q : A E A S [0, +r ]}, Bψ = {ψ : Y E A S S}, B W = {W : I E A S R}. I slightly abuse the notation by defining B q (L q ) the subset

Διαβάστε περισσότερα

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1 Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

Διαβάστε περισσότερα

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics

A Bonus-Malus System as a Markov Set-Chain. Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics A Bonus-Malus System as a Markov Set-Chain Małgorzata Niemiec Warsaw School of Economics Institute of Econometrics Contents 1. Markov set-chain 2. Model of bonus-malus system 3. Example 4. Conclusions

Διαβάστε περισσότερα

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices

Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Optimal Parameter in Hermitian and Skew-Hermitian Splitting Method for Certain Two-by-Two Block Matrices Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia 23187-8795

Διαβάστε περισσότερα

The Simply Typed Lambda Calculus

The Simply Typed Lambda Calculus Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and

Διαβάστε περισσότερα

F19MC2 Solutions 9 Complex Analysis

F19MC2 Solutions 9 Complex Analysis F9MC Solutions 9 Complex Analysis. (i) Let f(z) = eaz +z. Then f is ifferentiable except at z = ±i an so by Cauchy s Resiue Theorem e az z = πi[res(f,i)+res(f, i)]. +z C(,) Since + has zeros of orer at

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

Parametrized Surfaces

Parametrized Surfaces Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some

Διαβάστε περισσότερα

Lecture 21: Properties and robustness of LSE

Lecture 21: Properties and robustness of LSE Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem

Διαβάστε περισσότερα

Orbital angular momentum and the spherical harmonics

Orbital angular momentum and the spherical harmonics Orbital angular momentum and the spherical harmonics March 8, 03 Orbital angular momentum We compare our result on representations of rotations with our previous experience of angular momentum, defined

Διαβάστε περισσότερα

Higher Derivative Gravity Theories

Higher Derivative Gravity Theories Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)

Διαβάστε περισσότερα