Vector hysteresis models
|
|
- Carmel Cummings
- 6 years ago
- Views:
Transcription
1 Euro. Jnl. Appl. Math. 2 (99), Vector hysteresis models Pavel Krejčí Matematický ústav ČSAV, Žitná Praha, Czechoslovakia Key words: vector hysteresis operator, hysteresis potential, differential inequality. AMS classification: 73 E 5, 34 A 4, 58 C 7 Abstract. Following Krasnosel skii & Pokrovskii 983 we express the constitutive law for the Prandtl- Reuss elastoplastic model in terms of a hysteresis operator and we introduce the vector Ishlinskii model. We investigate some properties (continuity, energy inequalities, dependence on spatial variables) of these operators. Introduction In this paper we will investigate the Prandtl-Reuss elastoplastic model (cf. Duvaut & Lions 972, ečas & Hlaváček 98). We denote by S n the vector space of symmetric tensors n n (we have dim S n = 2n(n+)) and we fix a closed convex (usually unbounded) set Z S n. Its interior represents the elasticity domain and its boundary is the surface of plasticity. The strain tensor ε = {ε ij } is decomposed into two parts ε ij = ε e ij + εp ij. The elastic part ε e satisfies the linear Hooke s law ε e ij = A ijklσ kl, where A = {A ijkl } is a given constant symmetric positive definite matrix with respect to the scalar product < ξ, η >= ξ ij η ij in S n and σ = {σ ij } is the stress tensor. The values of σ cannot leave the domain Z and the plastic strain ε p satisfies the inequality < ε p, σ ϕ > ϕ Z, where the dot denotes the time derivative. Assuming ε to be known we find σ as the solution of the inequality < A σ ε, σ ϕ > ϕ Z with a given initial condition σ() Z. Putting u = A /2 ε, x = A /2 σ, Z = A /2 (Z) we see that x(t) Z satisfies the inequality < ẋ u, x ϕ > ϕ Z. The correspondence u x has been investigated in Krasnosel skii & Pokrovskii 983, where the notion of a hysteresis operator x = f(u) is introduced. The aim of this paper is to derive new properties of the operator f.
2 Using this notation we can express the Prandtl-Reuss constitutive law in the form σ = A /2 f(a /2 ε). Let us consider an elastoplastic body occupying a domain Ω R n and satisfying the Ishlinskii constitutive law σ = A /2 f(a /2 h ε) h dµ(h) = A /2 F (A /2 ε), (cf. (5.3) in Section 5). The strain tensor is given by the formula ε ij (x, t) = 2 ( u i x j + uj x i ), where u = {u i } is the displacement vector. The dynamical behavior of the body is determined by the equation of motion 2 u i t 2 = σ ij x j + h i, where h = {h i } is a given forcing term (which may depend on u, ε and σ), and by appropriate boundary and initial conditions. ( Let us denote (Du) ij = u i ) 2 x j + uj x i, (D σ) i = σ ij x j. The problem consists in solving the equation (.) 2 u t 2 D A /2 F (A /2 Du) = h in Ω (, T ). This is a natural way of transforming evolution differential inequalities into equations with hysteresis (cf. also Krejčí 989). The equation (.) under suitable boundary and initial conditions can be solved by standard methods (e.g Faedo-Galerkin). Let us note that we can derive a priori estimates for the second derivatives of an approximate solution u k (differentiating (.) with respect to t, testing with 2 u k t and using (5.6) (ii) 2 and then testing with D D u k t and using (5.8), cf. Section 5). We can next use the Minty-Browder argument based on the inequality (2.6) in Section 2 (cf. Krejčí 988) and the continuity of F for passing to the limit. A similar existence result has been proved (by different methods) by Visintin
3 Geometry of convex sets We denote by X an -dimensional real vector space with a scalar product <.,. >, x =< x, x > /2 for x X. We assume that Z X is a closed convex set (bounded or unbounded) containing in its interior. We fix a number m > such that (.) x m x Z. We denote by Q the orthogonal projection of X onto Z such that x Qx = min{ x ξ, ξ Z}, P x = x Qx. Let us recall the following properties of P, Q. (.2) Lemma For every x, y X we have (i) < P x, Qx ϕ > ϕ Z, (ii) < P x P y, Qx Qy >, (iii) < P x, x > m P x + P x 2, where m is given by (.), (iv) Q(x + αp x) = Qx for every α. Proof (i) Let us assume < P x, Qx ϕ >< for some ϕ Z and x X. For α [, ] we put ξ α = αϕ + ( α) Qx Z. We have x ξ α 2 = x Qx 2 + α(< P x, Qx ϕ > +α Qx ϕ 2 ) < x Qx 2 for α sufficiently small, and this contradicts the definition of Q. Part (ii) follows immediately from (i) and (iii) is obvious for x Z. For x / Z we find α > such that αp x = m and put ϕ = αp x Z. We have < ϕ, Qx ϕ >, hence < P x, x >= α < ϕ, Qx + P x > α ϕ 2 + P x 2 = m P x + P x 2. (iv) For an arbitrary ϕ Z we have x + αp x ϕ 2 = Qx ϕ 2 + ( + α) 2 P x 2 + ( + α) < P x, Qx ϕ >, hence the minimum of x + αp x ϕ is attained for ϕ = Qx. Let us show some specific properties of unbounded domains. (.3) Lemma Let Z be unbounded. Then there exists a non-empty convex closed cone C Z with vertex such that (i) for every x C and y X, y m we have x + y Z, (ii) the function K(r) = max{dist(z, C), z Z, z = r} is nondecreasing for r sufficiently large and lim K(r)/r =. r Proof Let us denote by M the set of all points x Z such that x = and αx Z for every α. Let {z n } Z be an arbitrary unbounded sequence. We see immediately that every limit point of n z z n belongs to M, hence M is non-void. Put C = 3
4 {αx; x M, α }. The convexity and closedness of C follow from the convexity and closedness of Z. Let us choose x C and y m. For an arbitrary sequence {y n }, y n < m, y n y we choose positive numbers r n > m r m y n >. We have n r n y n < m, hence x + y n = r n (r n x) + ( r n )( r n r n y n) Z and (i) follows easily. Let us denote by Q c the projection of X onto C, P c x = x Q c x. Repeating the proof of (i) and using (.2) (iv) we can easily verify that the set c = {x Z; Q c x = } is bounded. Put r c = max{ x ; x c }. We next prove that for every r 2 > r > r c and for every z Z such that z = r there exists z 2 Z, z 2 = r 2 such that dist(z 2, C) dist(z, C). Put x = Q c z. We have dist(z, C) = z x = P c z, < z, x >. Put z 2 = z + βx, where β > is such that z 2 = r 2. We have ( n )z + n (nβx ) Z for every n, hence z 2 Z. We further put x 2 = Q c z 2. Let us assume z 2 x 2 < z x. For α = β +β > we obtain P c (z + αp c z ) z + αp c z ( + α)x 2 = ( + α) z 2 x 2 < ( + α) P c z, which contradicts (.2) (iv). Thus we have proved that the function K(r) is nondecreasing for r r c. Let us assume lim sup K(r)/r >. Then there exists ε > and a sequence r n such that K(r n ) r εr n. We find z n Z, z n = r n such that dist(z n, C) ε z n. The sequence z n z n has a limit point x M and z n z n x = z n z n z n x z n dist(z n, C) ε which is a contradiction. Lemma (.3) is proved. 2 A differential inequality Let [, T ] be a given interval. We denote by L p, W k,p, C the spaces L p (, T ; X ), W k,p (, T ; X ), C([, T ]; X ) with usual norms.,p,. k,p,.,, respectively. We further introduce the set K = {u L ; u(t) Z a.e.}. (2.) Problem For a given u W, find x W, K such that (i) < x u, x ϕ > a.e. for every ϕ Z, (ii) x() = Qu(). This choice of the initial condition corresponds to the reference state. It enables us to avoid the difficulties in more complex hysteresis models. (2.2) Proposition Problem (2.) has a unique solution. 4
5 Proof Existence. For every fixed n put u j = u( j n T ), j =,..., n x j+ = Q(u j+ u j + x j ), x = Q(u ). Lemma (.2)(i) yields (2.3) < x j+ x j u j+ + u j, x j+ ϕ > ϕ Z, hence (2.4) x j+ x j u j+ u j, x j+ u j+ x j + u j u j+ u j. For t [ j n j+ T, n T ) put u (n) (t) = u j + n ( t T j )( ) uj+ u j, n (2.5) x (n) (t) = x j + n ( t T j )( ) xj+ x j. n We have u (n) W,, x(n) W, K, u(n) u, and x (n) (t) u (n) (t) a.e. By Arzelà-Ascoli theorem and Dunford-Pettis theorem (Edwards 965) there exists x Wn, K and a subsequence {x (m) } of {x (n) } such that x (m) x in L -weak and x (m) x uniformly in C. It remains to verify that x satisfies (2.)(i). Let ϕ Z be arbitrarily chosen. Using (2.3) we obtain for τ ( j j+ nt, n T ) : This yields for every s < t t and (2.)(i) follows easily. < x (n) (τ) u (n) (τ), x (n) (τ) ϕ > n T u j+ u j 2. s < x (τ) u (τ), x(τ) ϕ > dτ Uniqueness. Let u, v W,, be given and let x, y W K satisfy the inequalities < x u, x ϕ >, < y v, y ψ > ϕ, ψ Z. We obtain immediately (2.6) < x y, x y > < u v, x y > a.e., hence u = v implies x = y. (2.7) Remarks (i) We shall see in the next section that in fact x (n) converge strongly to x in W, (Remark (3.3)) 5
6 (ii) Putting ϕ = x(t ± δ) in (2.)(i) we obtain for δ + < x u, x >= a.e. Let us denote ξ = u x. In Krasnosel skii & Pokrovskii 983 ξ and x are called multidimensional play and multidimensional stop, respectively. From the mechanical point of view this corresponds to the decomposition of the strain u into the sum of the plastic strain ξ and elastic strain x. Geometrically, x (t) and ξ (t) are the projections of u (t) on the tangential and normal cones to Z, respectively, at the point x(t). 3 Hysteresis operators in Sobolev spaces Proposition (2.2) enables us to define an operator f : W, W, by the relation x = f(u) x is the solution of (2.). The term hysteresis operator is used by analogy to the one-dimensional case. (3.) Proposition The operator f : W, W, We first prove an easy lemma. is continuous. (3.2) Lemma Let g n, g L (Ω, µ), f n, f L (Ω, µ; X ) be given functions, n =, 2,..., where (Ω, µ) is a measurable space and µ is a positive measure. Let us assume Ω g n g dµ, Then Ω f n f dµ. Proof Put ϕ(x) = if f(x) =, hence Ω < f n f, ϕ > dµ ϕ L (Ω, µ; X ), f n (x) g n (x) µ a.e, f(x) = g(x) µ a.e. Ω ϕ(x) = f(x) f(x), if f(x). We have ϕ L (Ω, µ; X ), < f n, ϕ > dµ f dµ. Put ψ n (x) = g n (x) < f n (x), ϕ(x) >. We have ψ n (x) a.e., Ω ψ n dµ, therefore there exists a subsequence ψ k such that ψ k (x) µ a.e. This means < f k (x), f(x) > f(x) 2 µ a.e. On the other hand, f k (x) f(x) 2 g 2 k(x) + g 2 (x) 2 < f k (x), f(x) > µ a.e., hence (cf. Edwards 965, 4.2) Ω f k f dµ and (3.2) follows immediately. Ω Proof of (3.) Let {u n } be a sequence in W,, u n u,, x n = f(u n ), x = f(u). Put y n = 2x n u n, y = 2x u. We have by (2.7)(ii) y n(t) = u n(t), y (t) = u (t) a.e. and (2.6) yields < x n x, x n x > < u n u, x n x >. Consequently, y n y 6
7 uniformly in C and by Dunford-Pettis theorem y n y in L weak. Using lemma (3.2) for y n = f n, u n = g n we conclude that y n y strongly in W,, hence x n x,. (3.3) Remark The same argument shows that the discrete approximations (2.5) converge to x strongly in W,. (3.4) Corollary. The operator f maps W,p for p <. into W,p for p and is continuous (3.5) Remark For = the operator f is Lipschitz in W,, but not Lipschitz on bounded sets in W,p for p > and not continuous in W, (cf. e.g. Krejčí & Lovicar 99). On the other hand, no proof of the conjecture of Krasnosel skii & Pokrovskii 983 saying that f : W, W, is locally Lipschitz on bounded and smooth characteristics Z has been published. Indeed, the Lipschitz continuity of f : W, C follows trivially from (2.6). 4 Hysteresis operators in the space of continuous functions (4.) Theorem The operator f is closable in C and its closure f : C C is continuous. Remark This result is known for = (then f is Lipschitz) or if Z is bounded (cf. Krasnosel skii & Pokrovskii 983). We extend the method of proof to unbounded characteristics Z. We first prove three lemmas. (4.2) Lemma Let u W, be given, x = f(u), ξ = u x. Let us assume u(t) u(t ) m 2 for t [t, t 2 ], where m is defined by (.). (i) Let Z be bounded. Then t 2 t ξ (t) dt m (diamz)2. (ii) Let Z be unbounded. Then t 2 t ξ (t) dt m K2 ( x(t ) ), where K is defined in (.3)(ii). Proof We have < ξ (t), u(t) ξ(t) ϕ > a.e. for every ϕ Z. We fix x Z such that x = in the case (i) and x C (cf. (.3)) such that x(t ) x K( x(t ) ) in the case (ii). Choosing y = m ξ (t) 2 ξ (t) + u(t) u(t ) for ξ (t) and y = u(t) u(t ) for ξ (t) = we have y m, hence we can put ϕ = x + y. This yields m ξ (t) d dt ξ(t) u(t ) + x 2, hence 7
8 t2 t ξ (t) dt m x(t ) x 2 and (4.2) is proved. (4.3) Lemma Let u n W,, n =, 2,... and u C be given such that u n u,. Put x n = f(u n ), ξ n = u n x n. Then there exist n > and a constant c > depending only on Z and u such that T ξ n(t) dt c for n n. Proof We construct a partition = t < t < < t M = T of [, T ] such that for t [t k, t k+ ] we have u(t) u(t k ) m 6 We fix n such that for n n we have u n u, < m 6. For arbitrary t [t k, t k+ ] and n n we obtain u n (t) u n (t k ) m 2, hence by (4.2) we have (i) tk+ t k ξ n(t) dt m (diamz)2 if Z is bounded, therefore T ξ n(t) dt M m (diamz)2, (ii) tk+ t k ξ n(t) dt m K2 ( x n (t k ) ) if Z is unbounded, hence T ξ n(t) dt M m max K 2 ( x n (t k ) ). k In the case (i) we put simply c = M m (diamz)2. inequality < ξ n, ξ n > < ξ n, u n > and we obtain In the case (ii) we integrate the for each t [, T ]. This yields T ξ n (t) 2 ξ n () u n, ξ n(t) dt x n (t) 2 ( u n (t) + ξ n (t) ) 2 c + c 2 max K 2 ( x n (t k ) ), k hence (.3)(ii) implies x n, c 3, where c, c 2, c 3 are constants depending only on Z and u (we take a larger n, if necessary). Consequently, T ξ n(t) dt const. and (4.3) is proved. (4.4) Lemma Let the assumptions of Lemma (4.3) be fulfilled. Then there exist n > and a constant c > depending only on Z and u such that for every m, n n we have ξ n ξ m, c ( u n u m, + u n u m /2, ). 8
9 Proof The inequality (2.6) for u = u n, v = u m has the form < ξ n ξ m, ξ n ξ m > < ξ n ξ m, u n u m >, hence ξ n (t) ξ m (t) 2 ξ n () ξ m () and (4.4) follows immediately from (4.3). T ( ξ n + ξ m ) dt u n u m, Proof of (4.) Let u C be given. We choose a sequence {u n } W, such that u n u,. We see from (4.4) that the sequence x n = f(u n ) is fundamental in C and its limit is independent of the choice of {u n }. Therefore, we can define f(u) = lim x n. The n continuity of f in C follows from standard considerations. Let {u n } C be an arbitrary sequence, u n u,. The above argument shows that for each n =, 2,.... we can find ũ n W, such that ũ n u n, < n, f(ũ n) f(u n ), < n. We have ũ n u,, hence f(ũ n ) f(u), and f(u n ) f(u),. (4.5) Remarks (i) It follows from Lemma (4.4) that the operator f : C C is 2-Hölder continuous on compact sets. We present two examples showing that this result cannot be in general considerably improved. evertheless, on special characteristics Z the operator f has better continuity properties (it is globally Hölder continuous on strictly convex sets and Lipschitz on polygons, cf. Krasnosel skii & Pokrovskii 983). (ii) The multidimensional play operator I f, where I is the identity, has a particular smoothing property: it maps continuously C -strong into BV (, T ; X )-weak. This follows from the argument of the proof of (4.) applied to (4.3). (4.6) Examples (i) f does not map in general bounded sets in C into bounded sets. Put Z = {(a, b) R 2 ; < a (, b ) log a}, T =. Let us define a sequence rn (t) {u n } in the following way: u n (t) =, where r n is continuous and piecewise linear, ( r 2k ) ( n n =, 2k+ ) rn n =, k =,,..., [ n 2 ], r n(t) = n( ) j for t ( j n, n) j, j =,..., n. In fact, it would be more accurate to shift the domain Z and the functions u n in order to fulfil the assumption IntZ. ( ) αn (t) We determine the vector x n (t) = f(u n )(t) = using (2.7) (ii). Denote αn β n (t) = (, αn k = α 2k ) n n, g(α) = log α. For t (, n ) we have β n(t) = g(α n (t)) and x n(t) is the orthogonal projection of u n(t) on the tangent to Z at the point x n (t), hence x n(t) = r n(t) + g 2 (α n (t)) 9 ( ) g. (α n (t))
10 In other words, α n is the solution of the equation (4.7) α n( + g 2 (αn (t))) = r n, α n () =. We obtain αn = 5 2. For t ( 2k n, ) ( 2k n we have βn (t) = const. = log αn, k α 2k ) n n =. We find τ k ( 2k n, ) 2k+ n such that rn (τ k ) = αn k. We have α n(t) = r n(t), β n(t) = for t ( 2k n, τ ) ( ) k and (4.7) for t τk, 2k+ n, αn (τ k ) = αn, k hence αn k+ is the positive root of the equation ( ) α k+ 2 α k+ n + n αn k =. We see immediately that the sequence α [ n 2 ] n tends to as n, hence the sequence {x n } is unbounded. (ii) The Hölder continuity is optimal if Z is a ball. Put Z = {z X ; z h}, where h > is a given number. In this case the operator f is 2 -Hölder continuous in C (cf. Krasnosel skii & Pokrovskii 983). Let us choose r > h and for t [, ] put r r u n (t) = cos nt h sin nt h., v n(t) = cos nt sin nt., x n = f(u n ), y n = f(v n ). We have indeed y n = v n. The same argument as above shows that x n is the solution of the equation x n(t) = u n(t) h 2 < x n(t), u n(t) > x n (t), x n () = v n (). h h We find out that x n has the form x n (t) = of the equation ϱ + n ( r h cos ϱ ), ϱ() =, hence ϱ(t) = 2arctan ( r h ( r2 h 2 r + h tanh 2h cos(nt + ϱ(t)) sin(nt + ϱ(t))., where ϱ is the solution nt )). We have x n (t) y n (t) 2 = 4h 2 (r h)tanh 2 ( r2 h 2 2h ) nt ( r2 (r + h) + (r h)tanh 2 h 2 2h nt ),
11 hence lim x 2(r h) n() y n () = h n r. 5 Properties of hysteresis operators A. Superposition and inversion formulas. (5.) Proposition For every u W, and α we have f(( + α)u αf(u)) = f(u). Proof Put v = f(u), w = f(( + α)u αv). We have (cf. (.2) (iv)) w() = Q(u() + αp u()) = Qu() = v() and < w (+α)u +αv, w ϕ >, (+α) < v u, v ψ > for every ϕ, ψ Z. Putting ϕ = v, ψ = w we obtain < w v, w v >, hence w = v. (5.2) Corollary For every α >, α + β >, h > we have w = αu + βh f ( h u) u = ˆαw + ˆβĥf( ĥw ), where ˆα = α, ˆα + ˆβ = α+β, ĥ = h(α + β). Proof easily. By (5.) we have f ( ĥw ) = f ( α α+β h u + β α+β f( h u)) = f ( h u) and (5.2) follows B. Vector Ishlinskii operator. Let µ be a positive measure on (, ), µ((, )) < and let f be the multidimensional stop corresponding to Z. We define the vector Ishlinskii operator by the formula (5.3) F (u) = f ( h u) h dµ(h). Let us note that for h > m u, we have f ( h u) (t) = hu(t), hence the integral in (5.3) is always finite. We check easily that the vector Ishlinskii operator F is continuous in C and W,p, p <. C. Energy inequalities (5.4) We define the hysteresis potentials for the operator (5.3) by the following formulas (i) P (u) = 2 ( f ( h u)) 2 h 2 dµ(h) for u C, (ii) P 2 (u) = 2 < F (u), u > for u W,. The Hölder inequality yields immediately (5.5) F (u) 2 2µ((, )) P (u). The following energy inequalities are satisfied.
12 (5.6) Proposition (i) For every u W, (ii) For every u W 2, and for almost all t [, T ] we have P (u) (t) < F (u)(t), u (t) >. and for almost all s < t T we have P 2 (u)(t) P 2 (u)(s) t s < F (u) (τ), u (τ) > dτ. Proof The function h h f ( h u) is continuous and bounded as function R L, hence we can differentiate in (5.3) and (5.4) (i) with respect to t. We obtain P (u) (t) < F (u)(t), u (t) >= by (2.)(i) with ϕ =. For proving (ii) we denote x h (τ) = h f ( h u) (τ). We have < f ( h u) (t) h u (t), f ( h u) (t) > h 2 dµ(h) < x h(τ) u (τ), x h (τ) hϕ >, < x h(τ + δ) u (τ + δ), x h (τ + δ) hψ > for every ϕ, ψ Z. Putting ϕ = h x h(τ + δ), ψ = h x h(τ) we obtain < x h(τ + δ) x h(τ), x h (τ + δ) x h (τ) > < u (τ + δ) u (τ), x h (τ + δ) x h (τ) >. After integration t dτ this yields s 2δ 2 x h(t + δ) x h (t) 2 2δ 2 x h(s + δ) x h (s) 2 t δ 2 < u (τ + δ) u (τ), x h (τ + δ) x h (τ) > dτ, s hence for δ we obtain (cf. Edwards 965, 4.2) 2 x h(t) 2 t 2 x h(s) 2 < u (τ), x h(τ) > dτ for almost all s < t T. s (otice that for u W 2, we have x h W, ). By (2.7) (ii) we obtain x h (t) 2 =< x h (t), u (t) > and (5.6) (ii) follows easily. Remarks (i) The potential P (as well as the operator F ) is rate independent and corresponds to the usual physical notion of energy. On the other hand, the potential P 2 has no natural interpretation and the term energy is maybe not physically justified. We use it in order to emphasize the formal similarity between (5.6) (i) and (ii). 2
13 (ii) In the case =, Z = [, ] we can make use of the simple structure of the hysteresis memory for getting more precise information about the dissipation of energies corresponding to P and P 2. The dissipation of P (u) is characterized by the area of the hysteresis loop in the plane with coordinates u, F (u). Moreover, we can obtain an estimate from below of the dissipation of energy for P 2 (u) which is of the order of u (t) 3 dt. It is shown for instance in Krejčí 988 how this estimate can be used for solving hyperbolic equations with hysteresis operators. D. Dependence on parameters. Let us consider input functions depending on a parameter x J, where J R is a fixed interval and let us assume u(x,.) C for almost every x J. We can define the value f(u)(x, t) of the operator f to be equal to f(u(x,.))(t) for every t [, T ]. We see immediately that the operator f : L p (J, W, ) Lp (J; C ) is Lipschitz for every p [, ]. Let u L (J; W, u ) be given such that x L (J; W, ). We have by (2.6) for x, y J, x > y and s < t T (5.7) 2 f(u)(x, t) f(u)(y, t) 2 2 f(u)(x, s) f(u)(y, s) 2 For s = this yields t f(u)(x, t) f(u)(y, t) 2 Qu(x, ) Qu(y, ) s < f(u)(x, τ) f(u)(y, τ), u t t f(u)(x, τ) f(u)(y, τ) u t u (x, τ) (y, τ) > dτ. t u (x, τ) (y, τ) dτ. t The inequality (.2) (ii) implies Qu(x, ) Qu(y, ) u(x, ) u(y, ) x y u x (ξ, ) dξ, hence x f(u)(x, t) f(u)(y, t) u t x (ξ, ) dξ u (ξ, τ) dξ dτ, x y t x Thus f(u)(., t) is absolutely continuous for all t [, T ] and y t f(u)(x, t) u(x, ) u (x, τ) dτ x x t x a.e. Dividing (5.7) by (x y) 2 we obtain for y x (5.8) 2 x f(u)(x, t) 2 2 t x f(u)(x, s) 2 < s x f(u)(x, τ), 2 u (x, τ) > dτ t x 3
14 for almost every x J. We derive easily analogous inequalities for the Ishlinskii operator. The generalization to a larger number of parameters is obvious. Acknowledgement. The author is much indebted to the referee for valuable remarks and comments. Conclusion This paper presents an elementary approach to the vector hysteresis operators with closed convex characteristics Z introduced by Krasnosel skii & Pokrovskii 983. It contains some new results, namely the continuity in the space of continuous functions and in Sobolev spaces W,p without any assumption on the boundedness and smoothness of Z. We also introduce energy potentials for the Prandtl-Reuss and Ishlinskii hysteresis operators and we prove two energy inequalities. It is shown how an evolution differential inequality can be transformed into an equation with hysteresis operator and how the energy inequalities can be used for solving such problems. References DUVAUT, G. & LIOS. J.-L. 972 Les inéquations en mécanique et en physique. Dunod. EDWARDS, R.E. 965 Functional Analysis Theory and Applications. Holt, Rinehart and Winston. KRASOSELSKII, M.A. & POKROVSKII, A.V. 983 Systems with hysteresis (Russian) auka, Moscow. KREJČÍ, P. 988 A monototonicity method for solving hyperbolic problems with hysteresis. Apl. Mat. 33, KREJČÍ, P. 989 Hysteresis operators - a new approach to evolution differential inequalities. Comment. Math. Univ. Carolinae 3,3, KREJČÍ, P. & LOVICAR, V. 99 Continuity of hysteresis operators in Sobolev spaces. Apl. Mat. 35, EČAS, J. & HLAVÁČEK, I. 98 Mathematical theory of elastic and elasto-plastic bodies: an introduction. Elsevier. VISITI, A. 987 Rheological models and hysteresis effects. Rend. Sem. Mat. Univ. Padova 77,
Hysteresis rarefaction in the Riemann problem
Hysteresis rarefaction in the Riemann problem Pavel Krejčí 1 Institute of Mathematics, Czech Academy of Sciences, Žitná 25, 11567 Praha 1, Czech Republic E-mail: krejci@math.cas.cz Abstract. We consider
More informationHysteresis, convexity and dissipation in hyperbolic equations *
Hysteresis, convexity and dissipation in hyperbolic equations * Pavel Krejčí Mathematical Institute Academy of Sciences of the Czech Republic Žitná 25 11567 Prague, Czech Republic * A large part of this
More informationObstacle problems and isotonicity
Obstacle problems and isotonicity Thomas I. Seidman Revised version for NA-TMA: NA-D-06-00007R1+ [June 6, 2006] Abstract For variational inequalities of an abstract obstacle type, a comparison principle
More informationLebesgue-Stieltjes measures and the play operator
Lebesgue-Stieltjes measures and the play operator Vincenzo Recupero Politecnico di Torino, Dipartimento di Matematica Corso Duca degli Abruzzi, 24, 10129 Torino - Italy E-mail: vincenzo.recupero@polito.it
More informationSobolev Spaces. Chapter 10
Chapter 1 Sobolev Spaces We now define spaces H 1,p (R n ), known as Sobolev spaces. For u to belong to H 1,p (R n ), we require that u L p (R n ) and that u have weak derivatives of first order in L p
More information2 Statement of the problem and assumptions
Mathematical Notes, 25, vol. 78, no. 4, pp. 466 48. Existence Theorem for Optimal Control Problems on an Infinite Time Interval A.V. Dmitruk and N.V. Kuz kina We consider an optimal control problem on
More informationA TWO PARAMETERS AMBROSETTI PRODI PROBLEM*
PORTUGALIAE MATHEMATICA Vol. 53 Fasc. 3 1996 A TWO PARAMETERS AMBROSETTI PRODI PROBLEM* C. De Coster** and P. Habets 1 Introduction The study of the Ambrosetti Prodi problem has started with the paper
More informationMATH 819 FALL We considered solutions of this equation on the domain Ū, where
MATH 89 FALL. The D linear wave equation weak solutions We have considered the initial value problem for the wave equation in one space dimension: (a) (b) (c) u tt u xx = f(x, t) u(x, ) = g(x), u t (x,
More informationRegularity and compactness for the DiPerna Lions flow
Regularity and compactness for the DiPerna Lions flow Gianluca Crippa 1 and Camillo De Lellis 2 1 Scuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy. g.crippa@sns.it 2 Institut für Mathematik,
More informationConvex Analysis and Optimization Chapter 2 Solutions
Convex Analysis and Optimization Chapter 2 Solutions Dimitri P. Bertsekas with Angelia Nedić and Asuman E. Ozdaglar Massachusetts Institute of Technology Athena Scientific, Belmont, Massachusetts http://www.athenasc.com
More informationTraces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains
Traces, extensions and co-normal derivatives for elliptic systems on Lipschitz domains Sergey E. Mikhailov Brunel University West London, Department of Mathematics, Uxbridge, UB8 3PH, UK J. Math. Analysis
More informationOn the wellposedness of the Chaboche model
On the wellposedness of the Chaboche model Martin Brokate Mathematisches Seminar Universität Kiel 24098 Kiel Germany Pavel Krejčí nstitute of Mathematics Academy of Sciences Žitná 25 11567 Praha Czech
More informationAn introduction to Mathematical Theory of Control
An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018
More informationPERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS
Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 28, 2003, 207 222 PERTURBATION THEORY FOR NONLINEAR DIRICHLET PROBLEMS Fumi-Yuki Maeda and Takayori Ono Hiroshima Institute of Technology, Miyake,
More informationFrom now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.
Chapter 1 Metric spaces 1.1 Metric and convergence We will begin with some basic concepts. Definition 1.1. (Metric space) Metric space is a set X, with a metric satisfying: 1. d(x, y) 0, d(x, y) = 0 x
More informationLaplace s Equation. Chapter Mean Value Formulas
Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic
More informationPERIODIC PROBLEMS WITH φ-laplacian INVOLVING NON-ORDERED LOWER AND UPPER FUNCTIONS
Fixed Point Theory, Volume 6, No. 1, 25, 99-112 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.htm PERIODIC PROBLEMS WITH φ-laplacian INVOLVING NON-ORDERED LOWER AND UPPER FUNCTIONS IRENA RACHŮNKOVÁ1 AND MILAN
More informationTHEOREMS, ETC., FOR MATH 515
THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every
More informationIntroduction to Nonlinear Control Lecture # 3 Time-Varying and Perturbed Systems
p. 1/5 Introduction to Nonlinear Control Lecture # 3 Time-Varying and Perturbed Systems p. 2/5 Time-varying Systems ẋ = f(t, x) f(t, x) is piecewise continuous in t and locally Lipschitz in x for all t
More informationMath 5520 Homework 2 Solutions
Math 552 Homework 2 Solutions March, 26. Consider the function fx) = 2x ) 3 if x, 3x ) 2 if < x 2. Determine for which k there holds f H k, 2). Find D α f for α k. Solution. We show that k = 2. The formulas
More information2 A Model, Harmonic Map, Problem
ELLIPTIC SYSTEMS JOHN E. HUTCHINSON Department of Mathematics School of Mathematical Sciences, A.N.U. 1 Introduction Elliptic equations model the behaviour of scalar quantities u, such as temperature or
More informationON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM
ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM OLEG ZUBELEVICH DEPARTMENT OF MATHEMATICS THE BUDGET AND TREASURY ACADEMY OF THE MINISTRY OF FINANCE OF THE RUSSIAN FEDERATION 7, ZLATOUSTINSKY MALIY PER.,
More informationSingularities and Laplacians in Boundary Value Problems for Nonlinear Ordinary Differential Equations
Singularities and Laplacians in Boundary Value Problems for Nonlinear Ordinary Differential Equations Irena Rachůnková, Svatoslav Staněk, Department of Mathematics, Palacký University, 779 OLOMOUC, Tomkova
More informationarxiv: v2 [math.ag] 24 Jun 2015
TRIANGULATIONS OF MONOTONE FAMILIES I: TWO-DIMENSIONAL FAMILIES arxiv:1402.0460v2 [math.ag] 24 Jun 2015 SAUGATA BASU, ANDREI GABRIELOV, AND NICOLAI VOROBJOV Abstract. Let K R n be a compact definable set
More informationCentre for Mathematics and Its Applications The Australian National University Canberra, ACT 0200 Australia. 1. Introduction
ON LOCALLY CONVEX HYPERSURFACES WITH BOUNDARY Neil S. Trudinger Xu-Jia Wang Centre for Mathematics and Its Applications The Australian National University Canberra, ACT 0200 Australia Abstract. In this
More informationLECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES)
LECTURE # 0 BASIC NOTATIONS AND CONCEPTS IN THE THEORY OF PARTIAL DIFFERENTIAL EQUATIONS (PDES) RAYTCHO LAZAROV 1 Notations and Basic Functional Spaces Scalar function in R d, d 1 will be denoted by u,
More informationC.-H. Lamarque. University of Lyon/ENTPE/LGCB & LTDS UMR CNRS 5513
Nonlinear Dynamics of Smooth and Non-Smooth Systems with Application to Passive Controls 3rd Sperlonga Summer School on Mechanics and Engineering Sciences on Dynamics, Stability and Control of Flexible
More information5. Some theorems on continuous functions
5. Some theorems on continuous functions The results of section 3 were largely concerned with continuity of functions at a single point (usually called x 0 ). In this section, we present some consequences
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationMaximum principle for the fractional diusion equations and its applications
Maximum principle for the fractional diusion equations and its applications Yuri Luchko Department of Mathematics, Physics, and Chemistry Beuth Technical University of Applied Sciences Berlin Berlin, Germany
More informationOptimization and Optimal Control in Banach Spaces
Optimization and Optimal Control in Banach Spaces Bernhard Schmitzer October 19, 2017 1 Convex non-smooth optimization with proximal operators Remark 1.1 (Motivation). Convex optimization: easier to solve,
More informationMATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY
MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY 0.1. Vector Bundles and Connection 1-forms. Let E X be a complex vector bundle of rank r over a smooth manifold. Recall the following abstract
More informationSobolev embeddings and interpolations
embed2.tex, January, 2007 Sobolev embeddings and interpolations Pavel Krejčí This is a second iteration of a text, which is intended to be an introduction into Sobolev embeddings and interpolations. The
More informationAppendix A: Separation theorems in IR n
Appendix A: Separation theorems in IR n These notes provide a number of separation theorems for convex sets in IR n. We start with a basic result, give a proof with the help on an auxiliary result and
More information3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?
MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable
More informationON THE CORRECT FORMULATION OF A MULTIDIMENSIONAL PROBLEM FOR STRICTLY HYPERBOLIC EQUATIONS OF HIGHER ORDER
Georgian Mathematical Journal 1(1994), No., 141-150 ON THE CORRECT FORMULATION OF A MULTIDIMENSIONAL PROBLEM FOR STRICTLY HYPERBOLIC EQUATIONS OF HIGHER ORDER S. KHARIBEGASHVILI Abstract. A theorem of
More informationLectures on. Sobolev Spaces. S. Kesavan The Institute of Mathematical Sciences, Chennai.
Lectures on Sobolev Spaces S. Kesavan The Institute of Mathematical Sciences, Chennai. e-mail: kesh@imsc.res.in 2 1 Distributions In this section we will, very briefly, recall concepts from the theory
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationFunctional Analysis Winter 2018/2019
Functional Analysis Winter 2018/2019 Peer Christian Kunstmann Karlsruher Institut für Technologie (KIT) Institut für Analysis Englerstr. 2, 76131 Karlsruhe e-mail: peer.kunstmann@kit.edu These lecture
More informationExercises: Brunn, Minkowski and convex pie
Lecture 1 Exercises: Brunn, Minkowski and convex pie Consider the following problem: 1.1 Playing a convex pie Consider the following game with two players - you and me. I am cooking a pie, which should
More informationExtremal Solutions of Differential Inclusions via Baire Category: a Dual Approach
Extremal Solutions of Differential Inclusions via Baire Category: a Dual Approach Alberto Bressan Department of Mathematics, Penn State University University Park, Pa 1682, USA e-mail: bressan@mathpsuedu
More informationCAPACITIES ON METRIC SPACES
[June 8, 2001] CAPACITIES ON METRIC SPACES V. GOL DSHTEIN AND M. TROYANOV Abstract. We discuss the potential theory related to the variational capacity and the Sobolev capacity on metric measure spaces.
More informationNonlinear Systems and Control Lecture # 12 Converse Lyapunov Functions & Time Varying Systems. p. 1/1
Nonlinear Systems and Control Lecture # 12 Converse Lyapunov Functions & Time Varying Systems p. 1/1 p. 2/1 Converse Lyapunov Theorem Exponential Stability Let x = 0 be an exponentially stable equilibrium
More informationA LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION
A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION O. SAVIN. Introduction In this paper we study the geometry of the sections for solutions to the Monge- Ampere equation det D 2 u = f, u
More informationOn Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1
On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma Ben Schweizer 1 January 16, 2017 Abstract: We study connections between four different types of results that
More informationSecond Order Elliptic PDE
Second Order Elliptic PDE T. Muthukumar tmk@iitk.ac.in December 16, 2014 Contents 1 A Quick Introduction to PDE 1 2 Classification of Second Order PDE 3 3 Linear Second Order Elliptic Operators 4 4 Periodic
More informationChapter 2 Convex Analysis
Chapter 2 Convex Analysis The theory of nonsmooth analysis is based on convex analysis. Thus, we start this chapter by giving basic concepts and results of convexity (for further readings see also [202,
More informationOn some nonlinear parabolic equation involving variable exponents
On some nonlinear parabolic equation involving variable exponents Goro Akagi (Kobe University, Japan) Based on a joint work with Giulio Schimperna (Pavia Univ., Italy) Workshop DIMO-2013 Diffuse Interface
More informationContents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping.
Minimization Contents: 1. Minimization. 2. The theorem of Lions-Stampacchia for variational inequalities. 3. Γ -Convergence. 4. Duality mapping. 1 Minimization A Topological Result. Let S be a topological
More informationON NONHOMOGENEOUS BIHARMONIC EQUATIONS INVOLVING CRITICAL SOBOLEV EXPONENT
PORTUGALIAE MATHEMATICA Vol. 56 Fasc. 3 1999 ON NONHOMOGENEOUS BIHARMONIC EQUATIONS INVOLVING CRITICAL SOBOLEV EXPONENT M. Guedda Abstract: In this paper we consider the problem u = λ u u + f in, u = u
More informationNotes on Sobolev Spaces A. Visintin a.a
Notes on Sobolev Spaces A. Visintin a.a. 2017-18 Contents: 1. Hölder spaces. 2. Regularity of Euclidean domains. 3. Sobolev spaces of positive integer order. 4. Sobolev spaces of real integer order. 5.
More informationRepresentation of the polar cone of convex functions and applications
Representation of the polar cone of convex functions and applications G. Carlier, T. Lachand-Robert October 23, 2006 version 2.1 Abstract Using a result of Y. Brenier [1], we give a representation of the
More informationUnbounded operators on Hilbert spaces
Chapter 1 Unbounded operators on Hilbert spaces Definition 1.1. Let H 1, H 2 be Hilbert spaces and T : dom(t ) H 2 be a densely defined linear operator, i.e. dom(t ) is a dense linear subspace of H 1.
More informationExistence of minimizers for the pure displacement problem in nonlinear elasticity
Existence of minimizers for the pure displacement problem in nonlinear elasticity Cristinel Mardare Université Pierre et Marie Curie - Paris 6, Laboratoire Jacques-Louis Lions, Paris, F-75005 France Abstract
More informationPartial Differential Equations, 2nd Edition, L.C.Evans Chapter 5 Sobolev Spaces
Partial Differential Equations, nd Edition, L.C.Evans Chapter 5 Sobolev Spaces Shih-Hsin Chen, Yung-Hsiang Huang 7.8.3 Abstract In these exercises always denote an open set of with smooth boundary. As
More informationOn Discontinuous Differential Equations
On Discontinuous Differential Equations Alberto Bressan and Wen Shen S.I.S.S.A., Via Beirut 4, Trieste 3414 Italy. Department of Informatics, University of Oslo, P.O. Box 18 Blindern, N-316 Oslo, Norway.
More informationNonlinear Control. Nonlinear Control Lecture # 6 Passivity and Input-Output Stability
Nonlinear Control Lecture # 6 Passivity and Input-Output Stability Passivity: Memoryless Functions y y y u u u (a) (b) (c) Passive Passive Not passive y = h(t,u), h [0, ] Vector case: y = h(t,u), h T =
More informationContinuous Functions on Metric Spaces
Continuous Functions on Metric Spaces Math 201A, Fall 2016 1 Continuous functions Definition 1. Let (X, d X ) and (Y, d Y ) be metric spaces. A function f : X Y is continuous at a X if for every ɛ > 0
More informationNonlinear Control. Nonlinear Control Lecture # 8 Time Varying and Perturbed Systems
Nonlinear Control Lecture # 8 Time Varying and Perturbed Systems Time-varying Systems ẋ = f(t,x) f(t,x) is piecewise continuous in t and locally Lipschitz in x for all t 0 and all x D, (0 D). The origin
More informationThe Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:
Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply
More informationRegularity for Poisson Equation
Regularity for Poisson Equation OcMountain Daylight Time. 4, 20 Intuitively, the solution u to the Poisson equation u= f () should have better regularity than the right hand side f. In particular one expects
More informationSpectral theory for compact operators on Banach spaces
68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy
More informationA DUALITY ALGORITHM FOR THE OBSTACLE PROBLEM
Ann. Acad. Rom. Sci. Ser. Math. Appl. ISSN 2066-6594 Vol. 5, No. -2 / 203 A DUALITY ALGORITHM FOR THE OBSTACLE PROBLEM Diana Merluşcă Abstract We consider the obstacle problem in Sobolev spaces, of order
More informationMINIMAL GRAPHS PART I: EXISTENCE OF LIPSCHITZ WEAK SOLUTIONS TO THE DIRICHLET PROBLEM WITH C 2 BOUNDARY DATA
MINIMAL GRAPHS PART I: EXISTENCE OF LIPSCHITZ WEAK SOLUTIONS TO THE DIRICHLET PROBLEM WITH C 2 BOUNDARY DATA SPENCER HUGHES In these notes we prove that for any given smooth function on the boundary of
More informationAn example of nonuniqueness for the continuous static unilateral contact model with Coulomb friction
An example of nonuniqueness for the continuous static unilateral contact model with Coulomb friction Un exemple de non-unicité pour le modèle continu statique de contact unilatéral avec frottement de Coulomb
More informationExistence and Uniqueness
Chapter 3 Existence and Uniqueness An intellect which at a certain moment would know all forces that set nature in motion, and all positions of all items of which nature is composed, if this intellect
More informationON THE PICARD PROBLEM FOR HYPERBOLIC DIFFERENTIAL EQUATIONS IN BANACH SPACES
Discussiones Mathematicae Differential Inclusions, Control and Optimization 23 23 ) 31 37 ON THE PICARD PROBLEM FOR HYPERBOLIC DIFFERENTIAL EQUATIONS IN BANACH SPACES Antoni Sadowski Institute of Mathematics
More informationNONLINEAR SCHRÖDINGER ELLIPTIC SYSTEMS INVOLVING EXPONENTIAL CRITICAL GROWTH IN R Introduction
Electronic Journal of Differential Equations, Vol. 014 (014), No. 59, pp. 1 1. ISSN: 107-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu NONLINEAR SCHRÖDINGER
More informationu xx + u yy = 0. (5.1)
Chapter 5 Laplace Equation The following equation is called Laplace equation in two independent variables x, y: The non-homogeneous problem u xx + u yy =. (5.1) u xx + u yy = F, (5.) where F is a function
More informationOPTIMAL SOLUTIONS TO STOCHASTIC DIFFERENTIAL INCLUSIONS
APPLICATIONES MATHEMATICAE 29,4 (22), pp. 387 398 Mariusz Michta (Zielona Góra) OPTIMAL SOLUTIONS TO STOCHASTIC DIFFERENTIAL INCLUSIONS Abstract. A martingale problem approach is used first to analyze
More informationMathias Jais CLASSICAL AND WEAK SOLUTIONS FOR SEMILINEAR PARABOLIC EQUATIONS WITH PREISACH HYSTERESIS
Opuscula Mathematica Vol. 28 No. 1 28 Mathias Jais CLASSICAL AND WEAK SOLUTIONS FOR SEMILINEAR PARABOLIC EQUATIONS WITH PREISACH HYSTERESIS Abstract. We consider the solvability of the semilinear parabolic
More informationEXISTENCE RESULTS FOR SOME VARIATIONAL INEQUALITIES INVOLVING NON-NEGATIVE, NON-COERCITIVE BILINEAR FORMS. Georgi Chobanov
Pliska Stud. Math. Bulgar. 23 (2014), 49 56 STUDIA MATHEMATICA BULGARICA EXISTENCE RESULTS FOR SOME VARIATIONAL INEQUALITIES INVOLVING NON-NEGATIVE, NON-COERCITIVE BILINEAR FORMS Georgi Chobanov Abstract.
More informationA Product Property of Sobolev Spaces with Application to Elliptic Estimates
Rend. Sem. Mat. Univ. Padova Manoscritto in corso di stampa pervenuto il 23 luglio 2012 accettato l 1 ottobre 2012 A Product Property of Sobolev Spaces with Application to Elliptic Estimates by Henry C.
More informationSome lecture notes for Math 6050E: PDEs, Fall 2016
Some lecture notes for Math 65E: PDEs, Fall 216 Tianling Jin December 1, 216 1 Variational methods We discuss an example of the use of variational methods in obtaining existence of solutions. Theorem 1.1.
More informationLecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University
Lecture Notes in Advanced Calculus 1 (80315) Raz Kupferman Institute of Mathematics The Hebrew University February 7, 2007 2 Contents 1 Metric Spaces 1 1.1 Basic definitions...........................
More informationA MAXIMUM PRINCIPLE FOR A MULTIOBJECTIVE OPTIMAL CONTROL PROBLEM
STUDIA UNIV. BABEŞ BOLYAI, MATHEMATICA, Volume XLVIII, Number 1, March 23 A MAXIMUM PRINCIPLE FOR A MULTIOBJECTIVE OPTIMAL CONTROL PROBLEM Rezumat. Un principiu de maxim pentru o problemă vectorială de
More informationA few words about the MTW tensor
A few words about the Ma-Trudinger-Wang tensor Université Nice - Sophia Antipolis & Institut Universitaire de France Salah Baouendi Memorial Conference (Tunis, March 2014) The Ma-Trudinger-Wang tensor
More information1 Directional Derivatives and Differentiability
Wednesday, January 18, 2012 1 Directional Derivatives and Differentiability Let E R N, let f : E R and let x 0 E. Given a direction v R N, let L be the line through x 0 in the direction v, that is, L :=
More informationEquilibria with a nontrivial nodal set and the dynamics of parabolic equations on symmetric domains
Equilibria with a nontrivial nodal set and the dynamics of parabolic equations on symmetric domains J. Földes Department of Mathematics, Univerité Libre de Bruxelles 1050 Brussels, Belgium P. Poláčik School
More informationRiesz Representation Theorems
Chapter 6 Riesz Representation Theorems 6.1 Dual Spaces Definition 6.1.1. Let V and W be vector spaces over R. We let L(V, W ) = {T : V W T is linear}. The space L(V, R) is denoted by V and elements of
More informationANALYSIS QUALIFYING EXAM FALL 2016: SOLUTIONS. = lim. F n
ANALYSIS QUALIFYING EXAM FALL 206: SOLUTIONS Problem. Let m be Lebesgue measure on R. For a subset E R and r (0, ), define E r = { x R: dist(x, E) < r}. Let E R be compact. Prove that m(e) = lim m(e /n).
More informationNONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS
Fixed Point Theory, Volume 9, No. 1, 28, 3-16 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.html NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS GIOVANNI ANELLO Department of Mathematics University
More informationON WEAK SOLUTION OF A HYPERBOLIC DIFFERENTIAL INCLUSION WITH NONMONOTONE DISCONTINUOUS NONLINEAR TERM
Internat. J. Math. & Math. Sci. Vol. 22, No. 3 (999 587 595 S 6-72 9922587-2 Electronic Publishing House ON WEAK SOLUTION OF A HYPERBOLIC DIFFERENTIAL INCLUSION WITH NONMONOTONE DISCONTINUOUS NONLINEAR
More informationTHE STOKES SYSTEM R.E. SHOWALTER
THE STOKES SYSTEM R.E. SHOWALTER Contents 1. Stokes System 1 Stokes System 2 2. The Weak Solution of the Stokes System 3 3. The Strong Solution 4 4. The Normal Trace 6 5. The Mixed Problem 7 6. The Navier-Stokes
More informationOn Estimates of Biharmonic Functions on Lipschitz and Convex Domains
The Journal of Geometric Analysis Volume 16, Number 4, 2006 On Estimates of Biharmonic Functions on Lipschitz and Convex Domains By Zhongwei Shen ABSTRACT. Using Maz ya type integral identities with power
More informationLyapunov Stability Theory
Lyapunov Stability Theory Peter Al Hokayem and Eduardo Gallestey March 16, 2015 1 Introduction In this lecture we consider the stability of equilibrium points of autonomous nonlinear systems, both in continuous
More informationConservation law equations : problem set
Conservation law equations : problem set Luis Silvestre For Isaac Neal and Elia Portnoy in the 2018 summer bootcamp 1 Method of characteristics For the problems in this section, assume that the solutions
More informationRecent Trends in Differential Inclusions
Recent Trends in Alberto Bressan Department of Mathematics, Penn State University (Aveiro, June 2016) (Aveiro, June 2016) 1 / Two main topics ẋ F (x) differential inclusions with upper semicontinuous,
More information1. Introduction Boundary estimates for the second derivatives of the solution to the Dirichlet problem for the Monge-Ampere equation
POINTWISE C 2,α ESTIMATES AT THE BOUNDARY FOR THE MONGE-AMPERE EQUATION O. SAVIN Abstract. We prove a localization property of boundary sections for solutions to the Monge-Ampere equation. As a consequence
More informationRobustness for a Liouville type theorem in exterior domains
Robustness for a Liouville type theorem in exterior domains Juliette Bouhours 1 arxiv:1207.0329v3 [math.ap] 24 Oct 2014 1 UPMC Univ Paris 06, UMR 7598, Laboratoire Jacques-Louis Lions, F-75005, Paris,
More informationFINITE-DIFFERENCE APPROXIMATIONS AND OPTIMAL CONTROL OF THE SWEEPING PROCESS. BORIS MORDUKHOVICH Wayne State University, USA
FINITE-DIFFERENCE APPROXIMATIONS AND OPTIMAL CONTROL OF THE SWEEPING PROCESS BORIS MORDUKHOVICH Wayne State University, USA International Workshop Optimization without Borders Tribute to Yurii Nesterov
More informationOptimization Theory. A Concise Introduction. Jiongmin Yong
October 11, 017 16:5 ws-book9x6 Book Title Optimization Theory 017-08-Lecture Notes page 1 1 Optimization Theory A Concise Introduction Jiongmin Yong Optimization Theory 017-08-Lecture Notes page Optimization
More informationKernel Method: Data Analysis with Positive Definite Kernels
Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University
More informationEXISTENCE OF SOLUTIONS TO THE CAHN-HILLIARD/ALLEN-CAHN EQUATION WITH DEGENERATE MOBILITY
Electronic Journal of Differential Equations, Vol. 216 216), No. 329, pp. 1 22. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE OF SOLUTIONS TO THE CAHN-HILLIARD/ALLEN-CAHN
More information2. Function spaces and approximation
2.1 2. Function spaces and approximation 2.1. The space of test functions. Notation and prerequisites are collected in Appendix A. Let Ω be an open subset of R n. The space C0 (Ω), consisting of the C
More informationRNDr. Petr Tomiczek CSc.
HABILITAČNÍ PRÁCE RNDr. Petr Tomiczek CSc. Plzeň 26 Nonlinear differential equation of second order RNDr. Petr Tomiczek CSc. Department of Mathematics, University of West Bohemia 5 Contents 1 Introduction
More informationNONTRIVIAL SOLUTIONS FOR SUPERQUADRATIC NONAUTONOMOUS PERIODIC SYSTEMS. Shouchuan Hu Nikolas S. Papageorgiou. 1. Introduction
Topological Methods in Nonlinear Analysis Journal of the Juliusz Schauder Center Volume 34, 29, 327 338 NONTRIVIAL SOLUTIONS FOR SUPERQUADRATIC NONAUTONOMOUS PERIODIC SYSTEMS Shouchuan Hu Nikolas S. Papageorgiou
More informationNotes on Complex Analysis
Michael Papadimitrakis Notes on Complex Analysis Department of Mathematics University of Crete Contents The complex plane.. The complex plane...................................2 Argument and polar representation.........................
More informationDynamic Blocking Problems for Models of Fire Propagation
Dynamic Blocking Problems for Models of Fire Propagation Alberto Bressan Department of Mathematics, Penn State University bressan@math.psu.edu Alberto Bressan (Penn State) Dynamic Blocking Problems 1 /
More informationImplications of the Constant Rank Constraint Qualification
Mathematical Programming manuscript No. (will be inserted by the editor) Implications of the Constant Rank Constraint Qualification Shu Lu Received: date / Accepted: date Abstract This paper investigates
More information