INVARIANCE OF CLOSED CONVEX CONES FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS

Size: px
Start display at page:

Download "INVARIANCE OF CLOSED CONVEX CONES FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS"

Transcription

1 INVARIANCE OF CLOSED CONVEX CONES FOR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS STEFAN TAPPE Absrac. The goal of his paper is o clarify when a closed convex cone is invarian for a sochasic parial differenial equaion (SPDE) driven by a Wiener process and a Poisson random measure, and o provide condiions on he parameers of he SPDE, which are necessary and sufficien. 1. Inroducion Consider a semilinear sochasic parial differenial equaion (SPDE) of he form (1.1) { dr = (Ar + α(r ))d + σ(r )dw + E γ(r, x)(µ(d, dx) F (dx)d) r = h driven by a race class Wiener process W and a Poisson random measure µ. The sae space of he SPDE (1.1) is a separable Hilber space H, and he operaor A is he generaor of a srongly coninuous semigroup (S ) on H. Le K H be a closed convex cone of he sae space H. We say ha he cone K is invarian for he SPDE (1.1) if for each saring poin h K he soluion process r o (1.1) says in K. The goal of his paper is o clarify when he cone K is invarian for he SPDE (1.1), and o provide condiions on he parameers (A, α, σ, γ) or, equivalenly, on ((S ), α, σ, γ) of he SPDE (1.1), which are necessary and sufficien. Sochasic invariance of a given subse K H for jump-diffusion SPDEs (1.1) has already been sudied in he lieraure, mosly for diffusion SPDEs { dr = (Ar + α(r ))d + σ(r )dw (1.2) r = h wihou jumps. The classes of subses K H, for which sochasic invariance has been invesigaed, can roughly be divided as follows: For a finie dimensional submanifold K H he sochasic invariance has been sudied in [8] and [29] for diffusion SPDEs (1.2), and in [11] for jumpdiffusion SPDEs (1.1). Here a relaed problem is he exisence of a finie dimensional realizaion (FDR), which means ha for each saring poin h H a finie dimensional invarian manifold K H wih h K exiss. This problem has mosly been sudied for he so-called Heah-Jarrow- Moron-Musiela (HJMM) equaion from mahemaical finance, and we refer, for example, o [5, 4, 13, 14, 34, 38] for he exisence of FDRs for diffusion SPDEs (1.2), and, for example, o [35, 32, 37] for he exisence of FDRs for SPDEs driven by Lévy processes, which are paricular cases of jump-diffusion SPDEs (1.1). Dae: 1 March, Mahemaics Subjec Classificaion. 6H15, 6G17. Key words and phrases. Sochasic parial differenial equaion, closed convex cone, sochasic invariance, parallel funcion.

2 2 STEFAN TAPPE For an arbirary closed subse K H he sochasic invariance has been sudied for PDEs in [19], and for diffusion SPDEs (1.2) in [2] and based on he suppor heorem presened in [28] in [29]. Boh auhors obain he so-called sochasic semigroup Nagumo s condiion (SSNC) as a crierion for sochasic invariance, which is necessary and sufficien. An indispensable assumpion for he formulaion of he SSNC is ha he volailiy σ is sufficienly smooh; i mus be wo imes coninuously differeniable. For a closed convex cone K H as in our paper he sochasic invariance has been sudied in wo paricular siuaions on funcion spaces. In [26] he sae space H is an L 2 -space, K is he closed convex cone of nonnegaive funcions, and is sochasic invariance is invesigaed for diffusion SPDEs (1.2). In [1] he sae space H is a Hilber space consising of coninuous funcions, K is also he closed convex cone of nonnegaive funcions, and is sochasic invariance is invesigaed for jump-diffusion SPDEs (1.1); a paricular applicaion in [1] is he posiiviy preserving propery of ineres rae curves from he aforemenioned HJMM equaion, which appears in mahemaical finance. In his paper, we provide a general invesigaion of he sochasic invariance problem for an arbirary closed convex cone K H, conained in an arbirary separable Hilber space H, for jump-diffusion SPDEs (1.1). Taking advanage of he srucural properies of closed convex cones, we do no need smoohness of he volailiy σ, as i is required in [2] and [29], and also in [1]. In order o presen our main resul of his paper, le K H be a closed convex cone, and le K H be is dual cone (1.3) K = {h H : h, h }. h K Then he cone K has he represenaion (1.4) K = {h H : h, h }. h K We fix a generaing sysem G of he cone K; ha is, a subse G K such ha he cone admis he represenaion (1.5) K = {h H : h, h }. h G In paricular, we could simply ake G = K. However, for applicaions we will choose a generaing sysem G which is as convenien as possible. Throughou his paper, we make he following assumpions: The semigroup (S ) is pseudo-conracive; see Assumpion 2.1. The coefficiens (α, σ, γ) are locally Lipschiz and saisfy he linear growh condiion, which ensures exisence and uniqueness of mild soluions o he SPDE (1.1); see Assumpion 2.2. The cone K is invarian for he semigroup (S ) ; see Assumpion The cone K is generaed by an uncondiional Schauder basis; see Assumpion 4.2. We refer o Secion 2 for he precise mahemaical framework. We define he se D G K as { D := (h, h) G h }, S h (1.6) K : lim inf <.

3 INVARIANCE OF CLOSED CONVEX CONES 3 Since he cone K is invarian for he semigroup (S ), for all (h, h) G K he limes inferior in (1.6) exiss wih value in R + = [, ]. Now, our main resul reads as follows Theorem. Suppose ha Assumpions 2.1, 2.2, 2.12 and 4.2 are fulfilled. Then he following saemens are equivalen: (i) The closed convex cone K is invarian for he SPDE (1.1). (ii) We have (1.7) (1.8) (1.9) h + γ(h, x) K for F -almos all x E, for all h K, and for all (h, h) D we have + h, α(h) lim inf h, S h h, σ j (h) =, j N. E h, γ(h, x) F (dx) Condiions (1.7) (1.9) are geomeric condiions on he coefficiens of he SPDE (1.1); condiion (1.7) concerns he behaviour of he soluion process in he cone, and condiions (1.8) and (1.9) concern he behaviour of he soluion process a boundary poins of he cone: Condiion (1.7) is a condiion on he jumps; i means ha he cone K is invarian for he funcions h h + γ(h, x) for F -almos all x E. Condiion (1.8) means ha he drif is inward poining a boundary poins of he cone. Condiion (1.9) means ha he volailiies are parallel a boundary poins of he cone. Figure 1 illusraes condiions (1.7) (1.9). Le us provide furher explanaions regarding he drif condiion (1.8). For his purpose, we fix an arbirary pair (h, h) D. By he definiion (1.6) of he se D, we have h, h =, indicaing ha we are a he boundary of he cone. The drif condiion (1.8) implies (1.1) h, γ(h, x) F (dx) <. E This means ha he jumps of he soluion process a boundary poins of he cone are of finie variaion, unless hey are parallel o he boundary. If h D(A), hen he drif condiion (1.8) is fulfilled if and only if (1.11) h, Ah + α(h) h, γ(h, x) F (dx). E In view of condiion (1.11), we poin ou ha K D(A) is dense in K. If h D(A ), hen he drif condiion (1.8) is fulfilled if and only if (1.12) A h, h + h, α(h) h, γ(h, x) F (dx). In paricular, if A is a local operaor, hen he drif condiion (1.8) is equivalen o (1.13) h, α(h) h, γ(h, x) F (dx). E In any case, condiion (1.13) implies he drif condiion (1.8). We refer o Secion 2 for he proofs of hese and of furher saemens. We emphasize ha for (h, h) G K wih h, h = i may happen ha (h, h) / D. In his case, condiions (1.8) and hence (1.1) and (1.9), he wo boundary condiions illusraed in Figure 1, do no need o be fulfilled. Inuiively, a such a boundary E

4 4 STEFAN TAPPE jump volailiy drif Figure 1. Illusraion of he invariance condiions. poin h of he cone, here is an infinie drif pulling he process in he inerior of he half space {h H : h, h }, whence we can skip condiions (1.8) and (1.9) in his siuaion. This phenomenon is ypical for SPDEs, as for norm coninuous semigroups (S ) (in paricular, if A = ) he limes inferior appearing in (1.6) is always finie. Now, le us ouline he essenial ideas for he proof of Theorem 1.1: In Theorem 3.1 we will prove ha condiions (1.7) (1.9) are necessary for invariance of he cone K, where he main idea is o perform a shor-ime analysis of he sample pahs of he soluion processes. We emphasize ha for his implicaion we do no need he assumpion ha K is generaed by an uncondiional Schauder basis; ha is, we can skip Assumpion 4.2 here. In order o show ha condiions (1.7) (1.9) are sufficien for invariance of he cone K, we perform several seps: (1) Firs, we show ha he cone K is invarian for diffusion SPDEs (1.2) wih smoohs volailiies σ j Cb 2 (H), j N; see Theorem 5.3. The essenial idea is o verify he aforemenioned SSNC. (2) Then, we show ha he cone K is invarian for diffusion SPDEs (1.2) wih Lipschiz coefficiens wihou imposing smoohness on he volailiies; see Theorem 6.1. The main idea is o approximae he volailiy σ by a sequence (σ n ) n N of smooh volailiies, and o apply a sabiliy resul (see Proposiion B.3) for SPDEs. (3) Then, we show ha he cone K is invarian for general jump-diffusion SPDEs (1.1) wih Lipschiz coefficiens; see Theorem 7.1. This is done by using he so-called mehod o swich on he jumps also used in [1] and he aforemenioned sabiliy resul for SPDEs. (4) Finally, we show ha he cone K is invarian for he SPDE (1.1) in he general siuaion, where he coefficiens are locally Lipschiz and saisfy he linear growh condiion; see Theorem 8.1. This is done by approximaing he parameers (α, σ, γ) of he SPDE (1.1) by a sequence (α n, σ n, γ n ) n N of globally Lipschiz coefficiens, and o argue by sabiliy. In order o ensure ha he modified coefficiens (α n, σ n, γ n ) also saisfy he required invariance condiions (1.7) (1.9), he srucural properies of closed convex cones are essenial. The mos challenging is he second sep, where we approximae he volailiy σ by a sequence (σ n ) n N of smooh volailiies. In paricular, for an applicaion of

5 INVARIANCE OF CLOSED CONVEX CONES 5 our sabiliy resul (Proposiion B.3) we mus ensure ha all σ n are Lipschiz coninuous wih a join Lipschiz consan. We can roughly divide he approximaion procedure ino he following seps: (a) Firs, we approximae σ by a sequence (σ n ) n N of bounded volailiies wih finie dimensional range; see Proposiions D.13 and D.15. We consruc similar approximaions (α n ) n N for he drif α; see Proposiions C.8 and C.11. (b) Then, we approximae a bounded volailiy σ wih finie dimensional range by a sequence (σ n ) n N from C 1,1 b. This is done by he so-called sup-inf convoluion echnique from [23]; see Proposiion D.27. Alhough we do no use i in his paper, we menion he relaed aricle [22], which shows how a Lipschiz funcion can be approximaed by uniformly Gâeaux differeniable funcions. (c) Finally, we approximae a volailiy σ from C 1,1 b by a sequence (σ n ) n N from Cb 2 ; see Proposiion D.37. This is done by a generalizaion of he mollifying echnique in infinie dimension. For his procedure, we follow he consrucion provided in [15], which consiues a generalizaion of a resul from Moulis (see [27]), whence we also refer o his mehod as Moulis mehod. Concerning smooh approximaions in infinie dimensional spaces, we also menion he relaed papers [1, 2, 17, 18]. We emphasize ha we canno direcly apply Moulis mehod in sep (b), because for a Lipschiz coninuous funcion σ his would only provide a sequence (σ n ) n N from C 2 in fac, even C bu he second order derivaives migh be unbounded. Applying he sup-inf convoluion echnique before ensures ha we obain a sequence from Cb 2. We menion ha a combinaion of he sup-inf convoluion echnique and Moulis mehod has also been used in [1] in order o prove ha every Lipschiz coninuous funcion defined on a (possibly infinie dimensional) separable Riemannian manifold can be uniformly approximaed by smooh Lipschiz funcions. Besides he aforemenioned required join Lipschiz consan, we have o ake care ha he respecive approximaions (σ n ) n N of he volailiy σ remain parallel a boundary poins of he cone; ha is, condiion (1.9) mus be preserved, which is expressed by Definiion C.3. The siuaion is similar for he approximaions (α n ) n N of he drif α. They mus remain inward poining a boundary poins of he cone; ha is, condiion (1.8) mus be preserved, which is expressed by Definiion C.2. I arises he problem ha we can generally no ensure in seps (b) and (c) ha he approximaing volailiies remain parallel. In order o illusrae he siuaion in sep (c), where we apply Moulis mehod, le us assume for he sake of simpliciy ha he sae space is H = R d. Then he consrucion of he approximaing sequence (σ n ) n N becomes simpler han in he infinie dimensional siuaion in [15], and i is given by he well-known consrucion σ n : R d R d, σ n (h) := σ(h g)ϕ n (g)dg, R d where (ϕ n ) n N C (R d, R + ) is an appropriae sequence of mollifiers. Then, for (h, h) D, which implies h, h =, we generally have h, σ n (h) = h, σ(h g) ϕ n (g)dg, R d because we only have h, σ(h) =, bu generally no h, σ(h g) = for all g R d from a neighborhood of. This problem leads o he noion of locally parallel funcions (see Definiion D.1), which have he desired propery ha h, σ(h g) = for all g R d from an appropriae neighborhood of. In order o implemen his concep, we have o show ha a parallel funcion can be approximaed by a sequence

6 6 STEFAN TAPPE of locally parallel funcions. The idea is o approximae a funcion σ : R d R d for ɛ > by aking σ Φ ɛ, where Φ ɛ : R d R d, Φ ɛ (h) := (φ ɛ (h 1 ),..., φ ɛ (h d )), and where he funcion φ ɛ : R R is defined as (1.14) φ ɛ (x) := (x + ɛ)1 (, ɛ] (x) + (x ɛ)1 [ɛ, ) (x), see Figure 2. We can also esablish his procedure in infinie dimension; see Proposiion D.18. y x Figure 2. Approximaion wih locally parallel funcions. The remainder of his paper is organized as follows. In Secion 2 we presen he mahemaical framework and preliminary resuls. In Secion 3 we prove ha our invariance condiions are necessary for invariance of he cone. In Secion 4 we provide he required background abou closed convex cones generaed by uncondiional Schauder basis. Aferwards, we sar wih he proof ha our invariance condiions are sufficien for invariance of in he cone. In Secion 5 we prove his for diffusion SPDEs wih smooh volailiies, in Secion 6 for diffusion SPDEs wih Lipschiz coefficiens wihou imposing smoohness on he volailiy, in Secion 7 for general jump-diffusion SPDEs wih Lipschiz coefficiens, and in Secion 8 for he general siuaion of jump-diffusion SPDEs wih coefficiens being locally Lipschiz and saisfying he linear growh condiion. In Appendix A we collec he funcion spaces which we use hroughou his paper, and in Appendix B we presen he required sabiliy resul for SPDEs. In Appendix C we provide he required resuls abou inward poining funcions, and in Appendix D abou parallel funcions. 2. Mahemaical framework and preliminary resuls In his secion, we presen he mahemaical framework and preliminary resuls. Le (Ω, F, (F ) R+, P) be a filered probabiliy space saisfying he usual condiions. Le H be a separable Hilber space and le A : D(A) H H be he infiniesimal generaor of a C -semigroup (S ) on H Assumpion. We assume ha he semigroup (S ) is pseudo-conracive; ha is, here exiss a consan β such ha (2.1) S e β for all.

7 INVARIANCE OF CLOSED CONVEX CONES 7 Le U be a separable Hilber space, and le W be an U-valued Q-Wiener process for some nuclear, self-adjoin, posiive definie linear operaor Q L(U); see [6, pages 86, 87]. There exis an orhonormal basis {e j } j N of U and a sequence (λ j ) j N (, ) wih j N λ j < such ha Qe j = λ j e j for all j N. Le (E, E) be a Blackwell space, and le µ be a homogeneous Poisson random measure wih compensaor d F (dx) for some σ-finie measure F on (E, E); see [21, Def. II.1.2]. The space U := Q 1/2 (U), equipped wih he inner produc (2.2) u, v U := Q 1/2 u, Q 1/2 v U, is anoher separable Hilber space. We denoe by L 2(H) := L 2 (U, H) he space of all Hilber-Schmid operaors from U ino H. We fix he orhonormal basis {g j } j N of U given by g j := λ j e j for each j N, and for each σ L 2(H) we se σ j := σg j for j N. Furhermore, we denoe by L 2 (F ) := L 2 (E, E, F ; H) he space of all square-inegrable funcions from E ino H. Le α : H H, σ : H L 2(H) and γ : H L 2 (F ) be measurable funcions. Concerning he upcoming noaion, we remind he reader ha in Appendix A we have colleced he funcion spaces used in his paper Assumpion. We suppose ha α Lip loc (H) LG(H), σ Lip loc (H, L 2(H)) LG(H, L 2(H)), γ Lip loc (H, L 2 (F )) LG(H, L 2 (F )). Assumpion 2.2 ensures ha for each h H he SPDE (1.1) has a unique mild soluion; ha is, an H-valued càdlàg adaped process r, unique up o indisinguishabiliy, such ha (2.3) r = S h + + The sequence (β j ) j N defined as (2.4) S s α(r s )ds + S s σ(r s )dw s S s σ(r s, x)(µ(ds, dx) F (dx)ds), R +. β j := 1 λj W, e j, j N is a sequence of real-valued sandard Wiener processes, and we can wrie (2.3) equivalenly as (2.5) r = S h + + S s α(r s )ds + j N S s σ j (r s )dβ j s S s σ(r s, x)(µ(ds, dx) F (dx)ds), R +. Noe ha Assumpion 2.2 is implied by he slighly sronger condiions α Lip(H), σ Lip(H, L 2(H)) and γ Lip(H, L 2 (F )). Under such global Lipschiz condiions, we refer he reader o [6, 33, 16, 24] for diffusion SPDEs, o [31] for Lévy driven SPDEs, and o [25, 9] for general jump-diffusion SPDEs. Under he local Lipschiz and linear growh condiions from Assumpion 2.2, we refer o [36].

8 8 STEFAN TAPPE 2.3. Definiion. A subse K H is called invarian for he SPDE (1.1) if for each h K we have r K up o an evanescen se 1, where r denoes he mild soluion o (1.1) wih r = h Definiion. A subse K H is called a cone if we have λh K for all λ and all h K Definiion. A cone K H is called a convex cone if we have h + g K for all h, g H. Noe ha a convex cone K H is indeed a convex subse of H Definiion. A convex cone K H is called a closed convex cone if i is closed as a subse of H. For wha follows, we fix a closed convex cone K H. Denoing by K H is dual cone (1.3), he cone K has he represenaion (1.4) Definiion. A subse G K is called a generaing sysem of he cone K if we have he represenaion (1.5). Of course G = K is a generaing sysem of he cone K. However, for applicaions we will choose he generaing sysem G as convenien as possible. In his respec, we menion ha, by Lindelöf s lemma, he cone K admis a generaing sysem G which is a mos counable. For wha follows, we fix a generaing sysem G K Definiion. For a funcion f : H H we say ha K is f-invarian if f(k) K Definiion. The closed convex cone K is called invarian for he semigroup (S ) if K is S -invarian for all. According o [3, Cor ] he adjoin semigroup (S ) is a C -semigroup on H wih infiniesimal generaor A Lemma. The following saemens are equivalen: (i) K is invarian for he semigroup (S ). (ii) K is invarian for he adjoin semigroup (S ). Proof. For all (h, h) K K and all we have h, S h = S h, h, and hence, he represenaions (1.4) and (1.3) of K and K prove he claimed equivalence. For λ > β, where he consan β sems from he growh esimae (2.1), we define he resolven R λ := (λ A) 1. We consider he absrac Cauchy problem { dr = Ar d (2.6) r = h Lemma. The following saemens are equivalen: (i) K is invarian for he semigroup (S ). (ii) K is invarian for he absrac Cauchy problem (2.6). (iii) K is R λ -invarian for all λ > β. 1 A random se A Ω R+ is called evanescen if he se {ω Ω : (ω, ) A for some R + } is a P-nullse, cf. [21, 1.1.1].

9 INVARIANCE OF CLOSED CONVEX CONES 9 Proof. (i) (ii): This equivalence follows, because for each h K he mild soluion o he absrac Cauchy problem (2.6) is given by r = S h for. (i) (iii): For each λ > β and each h K we have R λ h = e λ S h d K. (iii) (i): Le > and h K be arbirary. By he exponenial formula (see [3, Thm ]) we have ( ) n n S h = lim n R n/ h K, compleing he proof. From now on, we make he following assumpion Assumpion. We assume ha he cone K is invarian for he semigroup (S ) ; ha is, any of he equivalen condiions from Lemma 2.11 is fulfilled Lemma. For all (h, h) G K we have lim inf h, S h R +. Proof. Since K is invarian for he semigroup (S ), we have h, S h for all, which esablishes he proof Definiion. For g, h H we wrie g K h if h g K. Recall he se D G K defined in (1.6). We define he funcion a : D R +, a(h, h) := lim inf h, S h Lemma. For each (h, h) D he following saemens are rue: (2.7) (2.8) (1) We have h, h =. (2) For all λ we have (h, λh) D and a(h, λh) = λa(h, h). (3) For all g K wih g K h we have (h, g) D and a(h, g) a(h, h). Proof. For each (h, h) G K wih h, h > we have and hence lim h, S h = h, h >, lim inf h, S h =, showing ha (h, h) / D. This proves he firs saemen, and we proceed wih he second saemen. Since K is a cone, we have λh K. Furhermore, we have lim inf h, S (λh) = λ lim inf h, S h <, showing (h, λh) D and he ideniy (2.7). For he proof of he hird saemen, le be arbirary. By Lemma 2.1 we have S h K. Since g K h, we obain S h, h g, and hence h, S g = S h, g S h, h = h, S h.

10 1 STEFAN TAPPE Consequenly, we have (2.9) h, S g h, S h for all. There exiss a sequence ( n ) n N (, ) wih n such ha he sequence (b n ) n N R + defined as b n := h, S n h n, n N converges o a(h, h) R +. Defining he sequence (a n ) n N R + as a n := h, S n g n, n N, by (2.9) we have a n b n for each n N. Hence, he sequence (a n ) n N is bounded, and by he Bolzano-Weiersrass heorem here exiss a subsequence (n k ) k N such ha (a nk ) k N converges o some a R + wih a a(h, h), which proves (h, g) D and (2.8) Lemma. Le (h, h) G K wih h, h = be arbirary. Then he following saemens are rue: (1) If h D(A), hen we have (h, h) D and (2.1) (2.11) lim inf h, S h = h, Ah. (2) If h D(A ), hen we have (h, h) D and lim inf h, S h = A h, h. (3) If he semigroup (S ) is norm coninuous, hen we have (h, h) D as well as (2.1) and (2.11). Proof. If h D(A), hen we have h, S h = h, S h h, h = h, S h h = h, S h h h, Ah as, showing he firs saemen. Furhermore, if h D(A ), hen we obain h, S h = S h, h = S h h, h = S h, h h, h S = h h, h A h, h as, showing he second saemen. The hird saemen is an immediae consequence of he firs and he second saemen. The following definiion is inspired by [26, Lemma 5] Definiion. We call A a local operaor if G D(A ), and for all (h, h) D we have A h, h = Proposiion. Suppose ha condiion (1.7) is fulfilled. Then for all (h, h) D he following saemens are rue: (1) We have (2) We have h, γ(h, x) for F -almos all x E. E h, γ(h, x) F (dx) R +. (3) If condiion (1.8) is saisfied, hen we have (1.1).

11 INVARIANCE OF CLOSED CONVEX CONES 11 (4) If h D(A), hen condiions (1.8) and (1.11) are equivalen. (5) If h D(A ), hen condiions (1.8) and (1.12) are equivalen. (6) If A is a local operaor, hen condiions (1.8) and (1.13) are equivalen. (7) Condiion (1.13) implies (1.8). Proof. By (1.7), for F -almos all x E we have h, γ(h, x) = h, h + h, γ(h, x) = h, h + γ(h, x), which esablishes he firs saemen. The second saemen is an immediae consequence, and he hird saemen is obvious. The fourh and he fifh saemen follow from Lemma Taking ino accoun Definiion 2.17, he sixh saemen is an immediae consequence of he fifh saemen. Finally, he las saemen follows from he firs saemen. In view of condiion (1.11), we emphasize ha K D(A) is dense is K, which follows from he nex resul Lemma. We have K = K D(A). Proof. Since K is closed, we have K D(A) K. In order o prove he converse inclusion, le h K be arbirary. For > we se h := 1 S shds. Then we have h D(A) for each >, and we have h h for. I remains o show ha h K for each >. For his purpose, le > and h G be arbirary. Since K is invarian for he semigroup (S ), we obain h, h = h, 1 S s hds = 1 h, S s h ds, showing ha h K. 3. Necessiy of he invariance condiions In his secion, we prove he necessiy of our invariance condiions Theorem. Suppose ha Assumpions 2.1, 2.2 and 2.12 are fulfilled. If he closed convex cone K is invarian for he SPDE (1.1), hen we have (1.7), and for all (h, h) D we have (1.8) and (1.9). Proof. Condiion (1.7) follows from [12, Lemma 2.11]. Le (h, h) D be arbirary, and denoe by r he mild soluion o (1.1) wih r = h. Since he measure space (E, E, F ) is σ-finie, here exiss an increasing sequence (B n ) n N E wih F (B n ) < for each n N such ha E = n N B n. Le n N be arbirary. According o [12, Lemma 2.2] he mapping T n : Ω R + given by T n := inf{ R + : µ([, ] B n ) = 1} is a sricly posiive sopping ime. We denoe by r n he mild soluion o he SPDE dr n = (Ar n + α(r n ) B n γ(r n, x)f (dx))d + σ(r n )dw + γ(r B, n x)(µ(d, dx) F (dx)d) n c r n = h. Since K is a closed subse of H, by [12, Prop. 2.21] we obain (r n ) Tn K up o an evanescen se. We define he sricly posiive, bounded sopping ime T := inf{ R + : r n > 1 + h } T n 1.

12 12 STEFAN TAPPE Furhermore, for every sopping ime R T we define he processes A n (R) and M n (R) as ( ) A n (R) := h, S R s α(rs n ) γ(rs n, x)f (dx) 1 {R s} ds, R +, B n M n (R) := + h, S R s σ(r n s ) 1 {R s} dw s B n h, S R s γ(r n s, x) 1 {R s} (µ(ds, dx) F (dx)ds), R +. Then, by he Cauchy-Schwarz inequaliy and Assumpions 2.1, 2.2 we have A n (R) A and M n (R) H 2 for each sopping ime R T, where A denoes he space of all finie variaion processes wih inegrable variaion (see [21, I.3.7]) and H 2 denoes he space of all square-inegrable maringales (see [21, Def. I.1.41]). Moreover, we have P-almos surely h, r n T = h, S T h + A n (T ) T + M n (T ) T for all R +. Le ( k ) k N (, ) be a sequence wih k such ha (3.1) lim inf h, S h h, S k h = lim. k k By Lebesgue s dominaed convergence heorem we obain lim k = lim k showing ha (3.2) 1 E[ h, rt n k ] = lim k k h, S k h k lim inf 1 E[ h, S T k h ] + lim k + h, α(h) h, γ(h, x) F (dx), B n k 1 k E[A n (T k ) T k ] 1 h, S h + h, α(h) h, γ(h, x) F (dx). B n Furhermore, by he monoone convergence heorem and Proposiion 2.18 we have (3.3) h, γ(h, x) F (dx) = lim h, γ(h, x) F (dx). E n B n Combining (3.2) and (3.3), we arrive a (1.8). Now, suppose ha condiion (1.9) is no fulfilled. Then here exis j N and (h, h) D such ha h, σ j (h). We define η, Φ R by (3.4) η := lim inf h, S h + h, α(h) and Φ := η + 1 h, σ j (h). Noe ha, by (1.8) and Proposiion 2.18 we have η R +. The sochasic exponenial Z := E(Φβ j ), where he Wiener process β j is given by (2.4), is a sricly posiive, coninuous local maringale. We define he sricly posiive, bounded sopping ime T := inf{ R + : r > 1 + h } inf{ R + : Z > 2} inf{ R + : Z, Z > 1} 1.

13 INVARIANCE OF CLOSED CONVEX CONES 13 For every sopping ime R T we define he processes A(R), M(R) and N(R) as A(R) := M(R) := N(R) := + h, S R s α(r s ) 1 {R s} ds, R +, h, S R s σ(r s ) 1 {R s} dw s E h, S R s γ(r s, x) 1 {R s} (µ(ds, dx) F (dx)ds), R +, (A(R) s + M(R) s )1 {R s} dz s + Z s 1 {R s} dm(r) s, R +. Then, by Assumpions 2.1, 2.2 we have A(R) A and M(R), N(R) H 2 for each sopping ime R T. Moreover, we have P-almos surely h, r T = h, S T h + A(T ) T + M(T ) T for all R +. Le R T be an arbirary sopping ime. By [21, Prop. I.4.49] we have [A(R), Z R ] =, and by [21, Thm. I.4.52] we have [M(R), Z R ] = M(R) c, Z R. Therefore, and since Z R by [21, Def. I.4.45] we obain (3.5) = 1 + Φ (A(R) + M(R) )Z R = N(R) + = N(R) + Z s 1 {R s} dβ j s, R +, Z s 1 {R s} da(r) s + M(R) c, Z R h, S R s (α(r s ) + Φσ j (r s )) Z s 1 {R s} ds, R +. Le ( k ) k N (, ) be a sequence wih k such ha we have (3.1). By (3.5), Lebesgue s dominaed convergence heorem and (3.4) we obain lim k a conradicion. + lim k = lim inf 1 E[ h, rt n k Z T k ] = lim k k 1 1 k E[ h, S T k h Z T k ] T k ] E[(A(T k ) T k + M(T k ) T k )Z T k k h, S h + h, α(h) + Φσ j (h) = η + Φ h, σ j (h) = η (η + 1) = 1, 4. Cones generaed by uncondiional Schauder bases In his secion, we provide he required background abou closed convex cones generaed by uncondiional Schauder bases. Le {e k } k N be an uncondiional Schauder basis of he Hilber space H; ha is, for each h H here is a unique sequence (h k ) k N R such ha (4.1) h = k N h k e k, and he series (4.1) converges uncondiionally. Wihou loss of generaliy, we assume ha e k = 1 for all k N Remark. Every orhonormal basis of he Hilber space H is an uncondiional Schauder basis. Of course, he converse saemen is no rue, bu for every uncondiional Schauder basis of he Hilber space H here is an equivalen inner produc

14 14 STEFAN TAPPE on H under which he uncondiional Schauder basis is an orhonormal basis; see [3]. There are unique elemens {e k } k N H such ha e k, h = h k for each h H, where we refer o he series represenaion (4.1); see [7, page 164]. Given hese coordinae funcionals {e k } k N, we also call {e k, e k} k N an uncondiional Schauder basis of H. Recall ha, hroughou his paper, we consider a closed convex cone K H wih represenaion (1.5) for some generaing sysem G K. Now, we make an addiional assumpion on he generaing sysem G of he cone Assumpion. We assume here is an uncondiional Schauder basis {e k, e k} k N of H such ha G {θe k : θ { 1, 1} and k N} Remark. Equivalenly, we could demand G k N e k. Assumpion 4.2 ensures ha he generaing sysem G becomes minimal. We define he sequence (E n ) n N of finie dimensional subspaces E n H as E n := e 1,..., e n. Furhermore, we define he sequence (Π n ) n N of projecions Π n L(H, E n ) as (4.2) n n Π n h = e k, h e k = h k e k, h H, k=1 where we refer o he series represenaion (4.1) of h. We denoe by bc({e l } l N ) := sup n N Π n he basis consan of he Schauder basis {e k } k N. Since he Schauder basis is uncondiional, by [7, Prop. 6.31] here is a consan C R + such for all m N, all λ 1,..., λ m R and all ɛ 1,..., ɛ m { 1, 1} we have m m (4.3) ɛ k λ k e k C λ k e k. k=1 The smalles possible consan C R + such ha he inequaliy (4.3) is fulfilled, is called he uncondiional basis consan, and is denoed by ubc({e l } l N ) Lemma. The following saemens are rue: (1) We have 1 bc({e l } l N ) ubc({e l } l N ). (2) For each k N we have e k, 2bc({e l} l N ). (3) For all h H wih represenaion (4.1) and every bounded sequence (λ k ) k N we have k=1 k=1 g := k N λ k h k e k H wih norm esimae ( g ubc({e l } l N ) sup k N ) λ k h. Proof. The firs saemen follows he proof of [7, Prop. 6.31]. Noing ha e k = 1, by he Cauchy-Schwarz inequaliy, Assumpion 4.2 and he ideniy e k e k 2bc({e l } l N ) from [7, page 164], for each h H we obain e k, h e k h 2bc({e l } l N ) h. The hird saemen follows from [7, Lemma 6.33].

15 INVARIANCE OF CLOSED CONVEX CONES Lemma. The following saemens are rue: (1) We have Π n Id H as n. (2) For all k, n N, all h e k and all h H we have h, Π n h = h, h 1 {k n}. Proof. The firs saemen follows from [7, Lemma 6.2.iii], and he second saemen follows from he definiion (4.2) of he projecion Π n. 5. Sufficiency of he invariance condiions for diffusion SPDEs wih smooh volailiies In his secion, we prove he sufficiency of our invariance condiions for diffusion SPDEs (1.2) wih smooh volailiies. Recall ha he disance funcion d K : H R + of he cone K is given by d K (h) := inf h g. g K 5.1. Lemma. The following saemens are rue: (1) For all λ and h H we have (5.1) d K (λh) = λd K (h). (2) For all h H and g K we have (5.2) d K (h + g) d K (h). Proof. Le h H be arbirary. For λ = boh sides in (5.1) are zero, and for λ >, by Definiion 2.4 we obain d K (λh) = inf λh g = inf λh λf = λ inf h f = λd K(h), g K f K f K proving he firs saemen. For he proof of he second saemen, le h H and g K be arbirary. Noe ha K K {g}. Indeed, for each f K by Definiion 2.5 we have f + g K, and hence f = (f + g) g K {g}. This gives us d K (h + g) = inf (h + g) f = inf h (f g) f K f K = inf h e inf h e = d K(h), e K {g} e K esablishing he second saemen. The following resul ensures ha he sochasic semigroup Nagumo s condiion (SSNC) is fulfilled in our siuaion Proposiion. Le Σ F(H) be such ha for all (h, h) D we have (5.3) lim inf Then, for each h K we have (5.4) lim inf h, S h + h, Σ(h). 1 d K(S h + Σ(h)) =. Proof. Since Σ F(H), here is an index n N such ha Σ(H) E n. Le h K be arbirary. We se N n := {1,..., n} and N 1 n := {k N n : (e k, h) D or ( e k, h) D}, N 2 n := {k N n : e k G or e k G } {k N n : (e k, h) / D and ( e k, h) / D}, N 3 n := {k N n : e k / G and e k / G }.

16 16 STEFAN TAPPE Then we have he decomposiion N n = N 1 n N 2 n N 3 n, for each k N 1 n here exiss θ k { 1, 1} such ha (θ k e k, h) D, and for each k N2 n here exiss θ k { 1, 1} such ha θ k e k G and (θ k e k, h) / D. Furhermore, we se θ k := 1 for each k N 3 n. There is a sequence ( m ) m N (, ) wih m such ha (5.5) where we agree on he noaion c m (k) for all m N and all k N 2 n. c m (k) := θ ke k, S m h + m Σ(h) m for all m N and all k N n. Inducively, we define he subsequences (m(k) p ) p N for k {} N 1 n as follows: (1) For k = we se m() p := p for each p N. (2) Le k N 1 n be arbirary, and suppose ha we have defined (m(l) p ) p N, where l denoes he larges ineger from {} N 1 n wih l < k. We disinguish wo cases: If lim inf p c m(l)p (k) =, hen we choose a subsequence (m(k) p ) p N of (m(l) p ) p N such ha c m(k)p (k) for all p N. Oherwise, we choose a subsequence (m(k) p ) p N of (m(l) p ) p N such ha c m(k)p (k) converges o a finie limi for p. Now, we define he subsequence (m p ) p N as m p := m(k) p for each p N, where k denoes he larges ineger from {} N 1 n. Furhermore, we define he ses N 1a n := N 1b n := Then we have he decomposiion N 1 n = N 1a n (5.6) (5.7) lim p c m p (k) R + c mp (k) { } k N 1 n : lim inf c m p (k) <, p { } k N 1 n : lim inf c m p p (k) =. N 1b n, and by (5.3) we have for all k N 1a n, for all p N and all k N 1b n. Since Σ(H) E n, and K is invarian for he semigroup (S ) and (Id Π n )- invarian, by Lemma 5.1 and (5.5), (5.7), for each p N we obain 1 d K (S mp h + mp Σ(h)) = 1 ( d K (Id Πn )S mp h +Π n (S mp h + mp Σ(h)) ) mp mp }{{} 1 ( d K Πn (S mp h + mp Σ(h)) ) ( ) S mp h + mp Σ(h) = d K Π n mp mp ( ) ( = d K c mp (k)θ k e k + c mp (k)θ k e k d K k N 1a n k N 1b n N2 n N3 n K }{{} K k N 1a n and by he coninuiy of he disance funcion d K and (5.6) we have ( ) ( ) lim d K c mp (k)θ k e k = d K lim c m p (k)θ k e k =, p p k N 1a n compleing he proof. k N 1a n }{{} K c mp (k)θ k e k ), 5.3. Theorem. Suppose ha Assumpions 2.1, 2.12 and 4.2 are fulfilled, and ha α Lip(H) F(H) B(H), σ F(H, L 2(H)) C 2 b (H, L 2(H)).

17 INVARIANCE OF CLOSED CONVEX CONES 17 If we have (5.8) lim inf h, S h + h, α(h) for all (h, h) D, and for all (h, h) D and each j N here exiss ɛ = ɛ(h, h, j) > such ha (5.9) h, σ j (h g) = for all g H wih g ɛ, hen he closed convex cone K is invarian for he SPDE (1.2). Proof. Condiion (5.9) jus means ha for each j N he funcion σ j : H H is weakly locally parallel in he sense of Definiion D.2, which allows us o apply Lemma D.7 in he sequel. Le ρ : H H be he funcion defined in (D.3). According o our hypoheses and Lemma D.6, all assumpions from [29] are saisfied. Le u U be arbirary, and define he funcion Σ : H H as Σ(h) := α(h) ρ(h) + σ(h)u, h H. Since α F(H) and σ F(H, L 2(H)), we have Σ F(H). Le (h, h) D be arbirary. Then, by (5.8) and Lemmas D.7, D.8 we deduce ha condiion (5.3) is fulfilled. Therefore, by Proposiion 5.2 he SSNC (5.4) is fulfilled. Consequenly, applying [29, Prop. 1.1] yields ha he closed convex cone K is invarian for he SPDE (1.2). 6. Sufficiency of he invariance condiions for diffusion SPDEs wih Lipschiz coefficiens In his secion, we prove ha our invariance condiions are sufficien for diffusion SPDEs (1.2) wih Lipschiz coefficiens, wihou imposing smoohness on he volailiy Theorem. Suppose ha Assumpions 2.1, 2.12 and 4.2 are fulfilled, and ha α Lip(H) and σ Lip(H, L 2(H)). If for all (h, h) D we have (5.8) and (1.9), hen he closed convex cone K is invarian for he SPDE (1.2). Proof. For he proof of his resul, we will apply he resuls from Appendices C and D. Noe ha Assumpion C.1 is fulfilled by virue of Lemma Concerning he drif α, we use he approximaion resuls from Appendix C as follows: (1) Condiion (5.8) jus means ha (a, α) is inward poining in he sense of Definiion C.2. (2) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion C.8 we may assume ha α Lip(H) F(H). (3) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion C.11 we may assume ha α Lip(H) F(H) B(H). Furhermore, concerning he volailiy σ, we use he approximaion resuls from Appendix D as follows: (1) Condiion (1.9) jus means ha for each j N he volailiy σ j : H H is parallel in he sense of Definiion C.3. (2) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.11 we may assume ha σ Lip(H, L 2(H)) G(H, L 2(H)). This allows us o apply he remaining resuls from Appendix D (Proposiions D.13 D.37), which are all saed for volailiies of he form σ : H H.

18 18 STEFAN TAPPE (3) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.13 we may assume ha σ Lip(H, L 2(H)) F(H, L 2(H)). (4) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.15 we may assume ha σ Lip(H, L 2(H)) F(H, L 2(H)) B(H, L 2(H)). (5) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.18 we may assume ha for each j N he volailiy σ j : H H is locally parallel in he sense of Definiion D.1. (6) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.27 we may assume ha σ F(H, L 2(H)) C 1,1 b (H, L 2(H)), and ha σ j : H H is locally parallel for each j N. (7) By our sabiliy resul for SPDEs (Proposiion B.3) and Proposiion D.37 we may assume ha σ F(H, L 2(H)) C 2 b (H, L 2(H)), and ha for each j N he volailiy σ j : H H is weakly locally parallel in he sense of Definiion D.2. Consequenly, applying Theorem 5.3 complees he proof. 7. Sufficiency of he invariance condiions for SPDEs wih Lipschiz coefficiens In his secion, we prove ha our invariance condiions are sufficien for general jump-diffusion SPDEs (1.1) wih Lipschiz coefficiens Theorem. Suppose ha Assumpions 2.1, 2.12 and 4.2 are fulfilled, and ha α Lip(H), σ Lip(H, L 2(H)) and γ Lip(H, L 2 (F )). If we have (1.7), and for all (h, h) D we have (1.8) and (1.9), hen he closed convex cone K is invarian for he SPDE (1.1). Proof. Since he measure F is σ-finie, by our sabiliy resul (Proposiion B.3) i suffices o prove ha for each B E wih F (B) < he cone K is invarian for he SPDE dr = (Ar + α(r ) B γ(r, x)f (dx))d + σ(r )dw r = h. + B γ(r, x)µ(d, dx) Moreover, by he jump condiion (1.7) and [12, Lemmas 2.12 and 2.2], i suffices o prove ha he cone K is invarian for he SPDE { dr = (Ar + α B (r ))d + σ(r )dw (7.1) r = h. where α B : H H is given by α B (h) := α(h) B γ(h, x)f (dx), h H.

19 INVARIANCE OF CLOSED CONVEX CONES 19 Noe ha by he Cauchy-Schwarz inequaliy we have α B Lip(H). Le (h, h) D be arbirary. By (1.8) and Proposiion 2.18 we obain lim inf h, S h + h h, S h, α B (h) = lim inf + h, α(h) h, γ(h, x) F (dx) + h, γ(h, x) F (dx). E E\B Therefore, applying Theorem 6.1 yields ha he cone K is invarian for he SPDE (7.1), compleing he proof. 8. Sufficiency of he invariance condiions and proof of he main resul In his secion, we prove ha our invariance condiions are sufficien for jumpdiffusion SPDEs (1.2) wih coefficiens being locally Lipschiz and saisfying he linear growh condiion Theorem. Suppose ha Assumpions 2.1, 2.2, 2.12 and 4.2 are fulfilled. If we have (1.7), and for all (h, h) D we have (1.8) and (1.9), hen he closed convex cone K is invarian for he SPDE (1.1). Proof. Le h K be arbirary. Le (R n ) n N be he sequence of reracions R n : H H defined according o Definiion A.9. We define he sequences of funcions (α n ) n N, (σ n ) n N and (γ n ) n N as α n := α R n, σ n := σ R n and γ n := γ R n. Le n N be arbirary. Then, by Lemma A.1 we have α n Lip(H), σ n Lip(H, L 2(H)) and γ Lip(H, L 2 (F )), and hence, here exiss a unique mild soluion r n o he SPDE (B.1) wih r n = h. Now, we check ha condiions (1.7) (1.9) are fulfilled wih (α, σ, γ) replaced by (α n, σ n, γ n ). Following he noaion from Definiion A.9, here is a funcion λ n : H (, 1] such ha R n (h) = λ n (h)h for all h H. Le h K be arbirary. By he properies of he closed convex cone K we have λ n (h)h K and (1 λ n (h))h K, and hence, since condiion (1.7) is saisfied for γ, we obain h + γ n (h, x) = h + γ(λ n (h)h, x) = (1 λ n (h))h + λ n (h)h + γ(λ n (h)h, x) K }{{}}{{} K K for F -almos all x E, showing (1.7) wih γ replaced by γ n. Now, le h G be such ha (h, h) D. Then, by Lemma 2.15 we also have (h, λ n (h)h) D, and since condiion (1.9) is saisfied for σ, we obain h, σ j n(h) = h, σ j (λ n (h)h) =, j N,

20 2 STEFAN TAPPE showing (1.9) wih σ replaced by σ n. Furhermore, since condiion (1.8) is saisfied for (α, γ), we obain h, S h lim inf + h, α n (h) h, γ n (h, x) F (dx) E = lim inf h, S h + h, α(λ n (h)h) E h, γ(λ n (h)h, x) F (dx) h, S h h, S (λ n (h)h) (1 λ n (h)) lim inf + lim inf + h, α(λ n (h)h) h, γ(λ n (h)h, x) F (dx), E showing (1.8) wih (α, γ) replaced by (α n, γ n ). Consequenly, by Theorem 7.1 we have r n K up o an evanescen se. Now, we define he increasing sequence (T n ) n N of sopping imes by T := and T n := inf{ R + : r n > n} for all n N. Then we have P(T n ) = 1, and he mild soluion r o (1.1) wih r = h is given by (8.1) r = h 1 [T ] + n N r n 1 ]Tn 1,T n ], showing ha r K up o an evanescen se. Now, we are ready o provide he proof of our main resul, which concludes he paper. Proof of Theorem 1.1. (i) (ii): This implicaion follows from Theorem 3.1. (ii) (i): This implicaion follows from Theorem 8.1. Appendix A. Funcion spaces In his appendix, we collec he funcion spaces used in his paper. Le X and Y be wo normed spaces. A.1. Definiion. We inroduce he following noions: (1) For a consan L R + a funcion f : X Y is called L-Lipschiz if f(x) f(y) L x y for all x, y X. (2) For a consan L R + we define he space Lip L (X, Y ) := {f : X Y : f is L-Lipschiz}. (3) A funcion f Lip L (X, Y ) is called Lipschiz coninuous. (4) We define he space Lip(X, Y ) := L R + Lip L (X, Y ). (5) For a consan L R + we define he space Lip L (X) := Lip L (X, X). (6) We define he space Lip(X) := Lip(X, X). A.2. Definiion. We inroduce he following noions: (1) A funcion f : X Y is called locally Lipschiz if for each C R + here is a consan L(C) R + such ha f(x) f(y) L(C) x y for all x, y X wih x, y C. (2) We denoe by Lip loc (X, Y ) he space of all locally Lipschiz funcions f : X Y. (3) We define he space Lip loc (X) := Lip loc (X, X). A.3. Definiion. We inroduce he following noions:

21 INVARIANCE OF CLOSED CONVEX CONES 21 (1) We say ha a funcion f : X Y saisfies he linear growh condiion if here is a finie consan C R + such ha f(x) C(1 + x ) for all x X. (2) We denoe by LG(X, Y ) he space of all funcions f : X Y saisfying he linear growh condiion. (3) We define he space LG(X) := LG(X, Y ). Noe ha Lip(X, Y ) Lip loc (X, Y ) LG(X, Y ). A.4. Definiion. We inroduce he following noions: (1) A funcion f : X Y is called bounded if here is a consan M R + such ha f(x) M for all x X. (2) We denoe by B(X, Y ) he space of all bounded funcions f : X Y. (3) We define he space B(X) := B(X, X). A.5. Definiion. We inroduce he following noions: (1) A funcion f : X Y is called locally bounded if for each C R + here is a consan M(C) R + such ha f(x) M(C) for all x X wih x C. (2) We denoe by B loc (X, Y ) he space of all locally bounded funcions f : X Y. (3) We define he space B loc (X) := B loc (X, X). Noe ha LG(X, Y ) B loc (X, Y ). A.6. Definiion. We inroduce he following noions: (1) We denoe by C(X, Y ) he space of all coninuous funcions f : X Y. (2) We define he space C b (X, Y ) := C(X, Y ) B(X, Y ). (3) We define he spaces C(X) := C(X, X) and C b (X) := C b (X, X). Noe ha Lip loc (X, Y ) C(X, Y ). For he nex definiion, we agree abou he convenion N := N { }, where N = {1, 2, 3,...} denoes he naural numbers. A.7. Definiion. Le p N be arbirary. (1) We denoe by C p (X, Y ) he space of all p-imes coninuously differeniable funcions f : X Y. (2) We denoe by C p b (X, Y ) he space of all f Cp (X, Y ) such ha f is bounded and he derivaives D k f, k = 1,..., p are bounded. (3) We define he spaces C p (X) := C p (X, X) and C p b (X) := Cp b (X, X). Noe ha Cb 1 (X, Y ) Lip(X, Y ) B(X, Y ). A.8. Definiion. We inroduce he following noions: (1) We denoe by C 1,1 b (X, Y ) he space of all f Cb 1 (X, Y ) such ha Df Lip(X, L(X, Y )). (2) We define he space C 1,1 b (X) := C 1,1 b (X, X). Noe ha Cb 2 (X, Y ) C1,1 b (X, Y ) Cb 1 (X, Y ). A.9. Definiion. For each n N we define he reracion R n : X X, R n (x) := λ n (x)x, where he funcion λ n : X (, 1] is given by λ n (x) := 1 { x n} + n x 1 { x >n}, x X.

22 22 STEFAN TAPPE The following auxiliary resul is well-known. A.1. Lemma. The following saemens are rue: (1) We have R n Id X as n. (2) For each n N we have R n Lip 1 (X) B(X). Appendix B. Sabiliy resul for SPDEs In his appendix, we presen he required sabiliy resul for SPDEs. The mahemaical framework is ha of Secion 2. Apar from he SPDE (1.1), we consider he sequence of SPDEs given by (B.1) { dr n = (Ar n + α n (r n ))d + σ n (r n )dw + E γ n(r, n x)(µ(d, dx) F (dx)d) r n = h for each n N. B.1. Assumpion. We suppose ha he following condiions are fulfilled: (1) There exiss L R + such ha α n Lip L (H), σ n Lip L (H, L 2(H)) and γ n Lip L (H, L 2 (F )) for all n N. (2) We have α n α, σ n σ and γ n γ for n. B.2. Proposiion. Suppose ha Assumpion B.1 is fulfilled. Then, for each h H we have [ ] E sup r r n 2 for every T R +, [,T ] where r denoes he mild soluion o (1.1) wih r = h, and for each n N he process r n denoes he mild soluion o (B.1) wih r n = h. Proof. This is a consequence of [9, Prop ]. B.3. Proposiion. Suppose ha Assumpion B.1 is fulfilled, and ha for each n N he closed convex cone K is invarian for he SPDE (B.1). Then K is also invarian for he SPDE (1.1). Proof. Le h K be arbirary. We denoe by r he mild soluion o (1.1) wih r = h, and for each n N we denoe by r n he mild soluion o (B.1) wih r n = h. Then, for each n N here is an even Ω n F wih P( Ω n ) = 1 such ha r n (ω) K for all (ω, ) Ω n R +. Seing Ω := Ω n N n F we have P( Ω) = 1 and r n (ω) K for all (ω, ) Ω R + and all n N. Now, le N N be arbirary. By Proposiion B.2 we have [ ] E sup r r n 2, [,N] and hence, here is a subsequence (n k ) k N such ha P-almos surely sup r r n k. [,N] Since K is closed, here is an even Ω N F wih P( Ω N ) = 1 such ha r (ω) K for all (ω, ) Ω N [, N]. Therefore, seing Ω := Ω N N N F we obain P( Ω) = 1 and r (ω) K for all (ω, ) Ω R +, showing ha K is invarian for (1.1).

23 INVARIANCE OF CLOSED CONVEX CONES 23 Appendix C. Inward poining funcions In his appendix, we provide he required resuls abou inward poining funcions, which we need for he proof of Theorem 6.1. As in Secion 2, le H be a separable Hilber space, le K H be a closed convex cone, and le G K be a generaing sysem of he cone such ha Assumpion 4.2 is fulfilled. Le D G K be a subse, and le a : D R + be a funcion. C.1. Assumpion. We suppose ha for each (h, h) D he following condiions are fulfilled: (1) We have h, h =. (2) For all λ we have (h, λh) D and a(h, λh) = λa(h, h). (3) For all g K wih g K h we have (h, g) D and a(h, g) a(h, h). C.2. Definiion. Le α : H H be a funcion. We call he pair (a, α) inward poining a he boundary of K (in shor inward poining) if for all (h, h) D we have a(h, h) + h, α(h). C.3. Definiion. A funcion σ : H H is called parallel a he boundary of K (in shor parallel) if for all (h, h) D we have h, σ(h) =. C.4. Definiion. Le σ : H H be a funcion. Then he se D is called (Id H, σ)- invarian if (h, σ(h)) D for all (h, h) D. C.5. Remark. Le σ : H H be a funcion. If D is (Id H, σ)-invarian, hen σ is parallel. C.6. Lemma. Le α : H H be a funcion such ha (a, α) is inward poining. Then, for each n N he pair (a, Π n α) is inward poining, oo. Proof. Le (h, h) D be arbirary. By Assumpion 4.2 we have h e k for some k N. Thus, by Lemma 4.5, and since a is nonnegaive, we obain finishing he proof. a(h, h) + h, Π n (α(h)) = a(h, h) + h, α(h) 1 {k n}, C.7. Definiion. We inroduce he following spaces: (1) For each n N we denoe by F n (H) he space of all funcions α : H E n. (2) We se F(H) := n N F n(h). C.8. Proposiion. Le α Lip(H) be a funcion such ha (a, α) is inward poining. Then, here are a consan L R + and a sequence (C.1) (α n ) n N Lip L (H) F(H) such ha (a, α n ) is inward poining for each n N, and we have α n α. Proof. We se α n := Π n α for each n N. Then, by consrucion for each n N we have α n F(H). By hypohesis here exiss a consan M R + such ha α Lip M (H). Seing L := Mbc({e l } l N ), we have α n Lip L (H) for each n N, showing (C.1). Furhermore, by Lemma C.6, for each n N he pair (a, α n ) is inward poining, and by Lemma 4.5 we have α n α.

24 24 STEFAN TAPPE C.9. Lemma. Le α, β : H H be wo funcions such ha he following condiions are fulfilled: (1) (a, α) is inward poining. (2) D is (Id H, β)-invarian, and for all (h, h) D we have (C.2) a(h, β(h)) a(h, h). Then he pair (a, α β) is inward poining. Proof. Le (h, h) D be arbirary. Since he se D is (Id H, β)-invarian, we have (h, β(h)) D. Therefore, by (C.2), and since (a, α) is inward poining, we obain finishing he proof. a(h, h) + h, α(β(h)) a(h, β(h)) + h, α(β(h)), We denoe (R n ) n N he reracions R n : H H defined according o Definiion A.9. We will need he following auxiliary resul. C.1. Lemma. Le n N be arbirary. Then D is (Id H, R n )-invarian, and for all (h, h) D we have a(h, R n (h)) a(h, h). Proof. Le n N be arbirary. Recalling he noaion from Definiion A.9, here is a funcion λ n : H (, 1] such ha R n (h) = λ n (h)h for each h H. By Assumpion C.1 we obain (h, R n (h)) = (h, λ n (h)h) D and compleing he proof. a(h, R n (h)) = a(h, λ n (h)h) = λ n (h)a(h, h) a(h, h), C.11. Proposiion. Le α Lip(H) F(H) be a funcion such ha (a, α) is inward poining. Then here are a consan L R + and a sequence (C.3) (α n ) n N Lip L (H) F(H) B(H) such ha (a, α n ) is inward poining for each n N, and we have α n α. Proof. We se α n := α R n for each n N. Le n N be arbirary. Then we have α n F(H), because α F(H). By hypohesis here exiss a consan L R + such ha α Lip L (H), and by Lemma A.1 and he inclusion Lip L (H) B loc (H) i follows ha α n Lip L (H) B(H), showing (C.3). Combining Lemmas C.9 and C.1, we obain ha (a, α n ) is inward poining. Furhermore, by Lemma A.1 we have α n α. Appendix D. Parallel funcions In his appendix, we provide he required resuls abou parallel funcion, which we need for he proofs of Theorems 5.3 and 6.1. The general mahemaical framework is ha of Appendix C. Firs, we will exend he Definiion C.3 of a parallel funcion. D.1. Definiion. A funcion σ : H H is called locally parallel o he boundary of K (in shor locally parallel) if here exiss ɛ > such ha for all (h, h) D we have (D.1) h, σ(h g) = for all g H wih g ɛ. D.2. Definiion. A funcion σ : H H is called weakly locally parallel o he boundary of K (in shor weakly locally parallel) if for all (h, h) D here exiss ɛ = ɛ(h, h) > such ha we have (D.1).

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

6. Stochastic calculus with jump processes

6. Stochastic calculus with jump processes A) Trading sraegies (1/3) Marke wih d asses S = (S 1,, S d ) A rading sraegy can be modelled wih a vecor φ describing he quaniies invesed in each asse a each insan : φ = (φ 1,, φ d ) The value a of a porfolio

More information

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE Topics MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES 2-6 3. FUNCTION OF A RANDOM VARIABLE 3.2 PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE 3.3 EXPECTATION AND MOMENTS

More information

Optimality Conditions for Unconstrained Problems

Optimality Conditions for Unconstrained Problems 62 CHAPTER 6 Opimaliy Condiions for Unconsrained Problems 1 Unconsrained Opimizaion 11 Exisence Consider he problem of minimizing he funcion f : R n R where f is coninuous on all of R n : P min f(x) x

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

t 2 B F x,t n dsdt t u x,t dxdt

t 2 B F x,t n dsdt t u x,t dxdt Evoluion Equaions For 0, fixed, le U U0, where U denoes a bounded open se in R n.suppose ha U is filled wih a maerial in which a conaminan is being ranspored by various means including diffusion and convecion.

More information

4 Sequences of measurable functions

4 Sequences of measurable functions 4 Sequences of measurable funcions 1. Le (Ω, A, µ) be a measure space (complee, afer a possible applicaion of he compleion heorem). In his chaper we invesigae relaions beween various (nonequivalen) convergences

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

arxiv: v1 [math.fa] 9 Dec 2018

arxiv: v1 [math.fa] 9 Dec 2018 AN INVERSE FUNCTION THEOREM CONVERSE arxiv:1812.03561v1 [mah.fa] 9 Dec 2018 JIMMIE LAWSON Absrac. We esablish he following converse of he well-known inverse funcion heorem. Le g : U V and f : V U be inverse

More information

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM

SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM SOME MORE APPLICATIONS OF THE HAHN-BANACH THEOREM FRANCISCO JAVIER GARCÍA-PACHECO, DANIELE PUGLISI, AND GUSTI VAN ZYL Absrac We give a new proof of he fac ha equivalen norms on subspaces can be exended

More information

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL: Ann. Func. Anal. 2 2011, no. 2, 34 41 A nnals of F uncional A nalysis ISSN: 2008-8752 elecronic URL: www.emis.de/journals/afa/ CLASSIFICAION OF POSIIVE SOLUIONS OF NONLINEAR SYSEMS OF VOLERRA INEGRAL EQUAIONS

More information

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type In. J. Conemp. Mah. Sci., Vol. 2, 27, no. 2, 89-2 Monoonic Soluions of a Class of Quadraic Singular Inegral Equaions of Volerra ype Mahmoud M. El Borai Deparmen of Mahemaics, Faculy of Science, Alexandria

More information

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details! MAT 257, Handou 6: Ocober 7-2, 20. I. Assignmen. Finish reading Chaper 2 of Spiva, rereading earlier secions as necessary. handou and fill in some missing deails! II. Higher derivaives. Also, read his

More information

Quasi-sure Stochastic Analysis through Aggregation

Quasi-sure Stochastic Analysis through Aggregation E l e c r o n i c J o u r n a l o f P r o b a b i l i y Vol. 16 (211), Paper no. 67, pages 1844 1879. Journal URL hp://www.mah.washingon.edu/~ejpecp/ Quasi-sure Sochasic Analysis hrough Aggregaion H. Mee

More information

Cash Flow Valuation Mode Lin Discrete Time

Cash Flow Valuation Mode Lin Discrete Time IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics

More information

Heat kernel and Harnack inequality on Riemannian manifolds

Heat kernel and Harnack inequality on Riemannian manifolds Hea kernel and Harnack inequaliy on Riemannian manifolds Alexander Grigor yan UHK 11/02/2014 onens 1 Laplace operaor and hea kernel 1 2 Uniform Faber-Krahn inequaliy 3 3 Gaussian upper bounds 4 4 ean-value

More information

On a Fractional Stochastic Landau-Ginzburg Equation

On a Fractional Stochastic Landau-Ginzburg Equation Applied Mahemaical Sciences, Vol. 4, 1, no. 7, 317-35 On a Fracional Sochasic Landau-Ginzburg Equaion Nguyen Tien Dung Deparmen of Mahemaics, FPT Universiy 15B Pham Hung Sree, Hanoi, Vienam dungn@fp.edu.vn

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions Recalls and basic resuls on BSDEs Uniqueness resul Links wih PDEs On he uniqueness of soluions o quadraic BSDEs wih convex generaors and unbounded erminal condiions IRMAR, Universié Rennes 1 Châeau de

More information

Example on p. 157

Example on p. 157 Example 2.5.3. Le where BV [, 1] = Example 2.5.3. on p. 157 { g : [, 1] C g() =, g() = g( + ) [, 1), var (g) = sup g( j+1 ) g( j ) he supremum is aken over all he pariions of [, 1] (1) : = < 1 < < n =

More information

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance.

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance. 1 An Inroducion o Backward Sochasic Differenial Equaions (BSDEs) PIMS Summer School 2016 in Mahemaical Finance June 25, 2016 Chrisoph Frei cfrei@ualbera.ca This inroducion is based on Touzi [14], Bouchard

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

A proof of Ito's formula using a di Title formula. Author(s) Fujita, Takahiko; Kawanishi, Yasuhi. Studia scientiarum mathematicarum H Citation

A proof of Ito's formula using a di Title formula. Author(s) Fujita, Takahiko; Kawanishi, Yasuhi. Studia scientiarum mathematicarum H Citation A proof of Io's formula using a di Tile formula Auhor(s) Fujia, Takahiko; Kawanishi, Yasuhi Sudia scieniarum mahemaicarum H Ciaion 15-134 Issue 8-3 Dae Type Journal Aricle Tex Version auhor URL hp://hdl.handle.ne/186/15878

More information

On R d -valued peacocks

On R d -valued peacocks On R d -valued peacocks Francis HIRSCH 1), Bernard ROYNETTE 2) July 26, 211 1) Laboraoire d Analyse e Probabiliés, Universié d Évry - Val d Essonne, Boulevard F. Mierrand, F-9125 Évry Cedex e-mail: francis.hirsch@univ-evry.fr

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Hamilton Jacobi equations

Hamilton Jacobi equations Hamilon Jacobi equaions Inoducion o PDE The rigorous suff from Evans, mosly. We discuss firs u + H( u = 0, (1 where H(p is convex, and superlinear a infiniy, H(p lim p p = + This by comes by inegraion

More information

Expert Advice for Amateurs

Expert Advice for Amateurs Exper Advice for Amaeurs Ernes K. Lai Online Appendix - Exisence of Equilibria The analysis in his secion is performed under more general payoff funcions. Wihou aking an explici form, he payoffs of he

More information

On Oscillation of a Generalized Logistic Equation with Several Delays

On Oscillation of a Generalized Logistic Equation with Several Delays Journal of Mahemaical Analysis and Applicaions 253, 389 45 (21) doi:1.16/jmaa.2.714, available online a hp://www.idealibrary.com on On Oscillaion of a Generalized Logisic Equaion wih Several Delays Leonid

More information

Semilinear Kolmogorov equations and applications to stochastic optimal control

Semilinear Kolmogorov equations and applications to stochastic optimal control Semilinear Kolmogorov equaions and applicaions o sochasic opimal conrol Federica Masiero 1 Advisor: Prof. Marco Fuhrman 2 1 Diparimeno di Maemaica, Universià degli sudi di Milano, Via Saldini 5, 2133 Milano,

More information

CONTRIBUTION TO IMPULSIVE EQUATIONS

CONTRIBUTION TO IMPULSIVE EQUATIONS European Scienific Journal Sepember 214 /SPECIAL/ ediion Vol.3 ISSN: 1857 7881 (Prin) e - ISSN 1857-7431 CONTRIBUTION TO IMPULSIVE EQUATIONS Berrabah Faima Zohra, MA Universiy of sidi bel abbes/ Algeria

More information

Essential Maps and Coincidence Principles for General Classes of Maps

Essential Maps and Coincidence Principles for General Classes of Maps Filoma 31:11 (2017), 3553 3558 hps://doi.org/10.2298/fil1711553o Published by Faculy of Sciences Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma Essenial Maps Coincidence

More information

Existence of positive solution for a third-order three-point BVP with sign-changing Green s function

Existence of positive solution for a third-order three-point BVP with sign-changing Green s function Elecronic Journal of Qualiaive Theory of Differenial Equaions 13, No. 3, 1-11; hp://www.mah.u-szeged.hu/ejqde/ Exisence of posiive soluion for a hird-order hree-poin BVP wih sign-changing Green s funcion

More information

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence MATH 433/533, Fourier Analysis Secion 6, Proof of Fourier s Theorem for Poinwise Convergence Firs, some commens abou inegraing periodic funcions. If g is a periodic funcion, g(x + ) g(x) for all real x,

More information

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t M ah 5 2 7 Fall 2 0 0 9 L ecure 1 0 O c. 7, 2 0 0 9 Hamilon- J acobi Equaion: Explici Formulas In his lecure we ry o apply he mehod of characerisics o he Hamilon-Jacobi equaion: u + H D u, x = 0 in R n

More information

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Novi Sad J. Mah. Vol. 32, No. 2, 2002, 95-108 95 POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION Hajnalka Péics 1, János Karsai 2 Absrac. We consider he scalar nonauonomous neural delay differenial

More information

arxiv: v1 [math.gm] 4 Nov 2018

arxiv: v1 [math.gm] 4 Nov 2018 Unpredicable Soluions of Linear Differenial Equaions Mara Akhme 1,, Mehme Onur Fen 2, Madina Tleubergenova 3,4, Akylbek Zhamanshin 3,4 1 Deparmen of Mahemaics, Middle Eas Technical Universiy, 06800, Ankara,

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

A remark on the H -calculus

A remark on the H -calculus A remark on he H -calculus Nigel J. Kalon Absrac If A, B are secorial operaors on a Hilber space wih he same domain range, if Ax Bx A 1 x B 1 x, hen i is a resul of Auscher, McInosh Nahmod ha if A has

More information

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality

Matrix Versions of Some Refinements of the Arithmetic-Geometric Mean Inequality Marix Versions of Some Refinemens of he Arihmeic-Geomeric Mean Inequaliy Bao Qi Feng and Andrew Tonge Absrac. We esablish marix versions of refinemens due o Alzer ], Carwrigh and Field 4], and Mercer 5]

More information

Lecture 10: The Poincaré Inequality in Euclidean space

Lecture 10: The Poincaré Inequality in Euclidean space Deparmens of Mahemaics Monana Sae Universiy Fall 215 Prof. Kevin Wildrick n inroducion o non-smooh analysis and geomery Lecure 1: The Poincaré Inequaliy in Euclidean space 1. Wha is he Poincaré inequaliy?

More information

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term Applied Mahemaics E-Noes, 8(28), 4-44 c ISSN 67-25 Available free a mirror sies of hp://www.mah.nhu.edu.w/ amen/ Properies Of Soluions To A Generalized Liénard Equaion Wih Forcing Term Allan Kroopnick

More information

f(s)dw Solution 1. Approximate f by piece-wise constant left-continuous non-random functions f n such that (f(s) f n (s)) 2 ds 0.

f(s)dw Solution 1. Approximate f by piece-wise constant left-continuous non-random functions f n such that (f(s) f n (s)) 2 ds 0. Advanced Financial Models Example shee 3 - Michaelmas 217 Michael Tehranchi Problem 1. Le f : [, R be a coninuous (non-random funcion and W a Brownian moion, and le σ 2 = f(s 2 ds and assume σ 2

More information

BOUNDEDNESS OF MAXIMAL FUNCTIONS ON NON-DOUBLING MANIFOLDS WITH ENDS

BOUNDEDNESS OF MAXIMAL FUNCTIONS ON NON-DOUBLING MANIFOLDS WITH ENDS BOUNDEDNESS OF MAXIMAL FUNCTIONS ON NON-DOUBLING MANIFOLDS WITH ENDS XUAN THINH DUONG, JI LI, AND ADAM SIKORA Absrac Le M be a manifold wih ends consruced in [2] and be he Laplace-Belrami operaor on M

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Course Notes for EE227C (Spring 2018): Convex Optimization and Approximation

Course Notes for EE227C (Spring 2018): Convex Optimization and Approximation Course Noes for EE7C Spring 018: Convex Opimizaion and Approximaion Insrucor: Moriz Hard Email: hard+ee7c@berkeley.edu Graduae Insrucor: Max Simchowiz Email: msimchow+ee7c@berkeley.edu Ocober 15, 018 3

More information

Average Number of Lattice Points in a Disk

Average Number of Lattice Points in a Disk Average Number of Laice Poins in a Disk Sujay Jayakar Rober S. Sricharz Absrac The difference beween he number of laice poins in a disk of radius /π and he area of he disk /4π is equal o he error in he

More information

On Gronwall s Type Integral Inequalities with Singular Kernels

On Gronwall s Type Integral Inequalities with Singular Kernels Filoma 31:4 (217), 141 149 DOI 1.2298/FIL17441A Published by Faculy of Sciences and Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma On Gronwall s Type Inegral Inequaliies

More information

Chapter 6. Systems of First Order Linear Differential Equations

Chapter 6. Systems of First Order Linear Differential Equations Chaper 6 Sysems of Firs Order Linear Differenial Equaions We will only discuss firs order sysems However higher order sysems may be made ino firs order sysems by a rick shown below We will have a sligh

More information

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations arxiv:mah/0602323v1 [mah.pr] 15 Feb 2006 Dual Represenaion as Sochasic Differenial Games of Backward Sochasic Differenial Equaions and Dynamic Evaluaions Shanjian Tang Absrac In his Noe, assuming ha he

More information

On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems

On Boundedness of Q-Learning Iterates for Stochastic Shortest Path Problems MATHEMATICS OF OPERATIONS RESEARCH Vol. 38, No. 2, May 2013, pp. 209 227 ISSN 0364-765X (prin) ISSN 1526-5471 (online) hp://dx.doi.org/10.1287/moor.1120.0562 2013 INFORMS On Boundedness of Q-Learning Ieraes

More information

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 10, October ISSN Inernaional Journal of Scienific & Engineering Research, Volume 4, Issue 10, Ocober-2013 900 FUZZY MEAN RESIDUAL LIFE ORDERING OF FUZZY RANDOM VARIABLES J. EARNEST LAZARUS PIRIYAKUMAR 1, A. YAMUNA 2 1.

More information

t j i, and then can be naturally extended to K(cf. [S-V]). The Hasse derivatives satisfy the following: is defined on k(t) by D (i)

t j i, and then can be naturally extended to K(cf. [S-V]). The Hasse derivatives satisfy the following: is defined on k(t) by D (i) A NOTE ON WRONSKIANS AND THE ABC THEOREM IN FUNCTION FIELDS OF RIME CHARACTERISTIC Julie Tzu-Yueh Wang Insiue of Mahemaics Academia Sinica Nankang, Taipei 11529 Taiwan, R.O.C. May 14, 1998 Absrac. We provide

More information

Homogenization of random Hamilton Jacobi Bellman Equations

Homogenization of random Hamilton Jacobi Bellman Equations Probabiliy, Geomery and Inegrable Sysems MSRI Publicaions Volume 55, 28 Homogenizaion of random Hamilon Jacobi Bellman Equaions S. R. SRINIVASA VARADHAN ABSTRACT. We consider nonlinear parabolic equaions

More information

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity ANNALES POLONICI MATHEMATICI LIV.2 99) L p -L q -Time decay esimae for soluion of he Cauchy problem for hyperbolic parial differenial equaions of linear hermoelasiciy by Jerzy Gawinecki Warszawa) Absrac.

More information

Asymptotic instability of nonlinear differential equations

Asymptotic instability of nonlinear differential equations Elecronic Journal of Differenial Equaions, Vol. 1997(1997), No. 16, pp. 1 7. ISSN: 172-6691. URL: hp://ejde.mah.sw.edu or hp://ejde.mah.un.edu fp (login: fp) 147.26.13.11 or 129.12.3.113 Asympoic insabiliy

More information

STABILITY OF NONLINEAR NEUTRAL DELAY DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS

STABILITY OF NONLINEAR NEUTRAL DELAY DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS Elecronic Journal of Differenial Equaions, Vol. 217 217, No. 118, pp. 1 14. ISSN: 172-6691. URL: hp://ejde.mah.xsae.edu or hp://ejde.mah.un.edu STABILITY OF NONLINEAR NEUTRAL DELAY DIFFERENTIAL EQUATIONS

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu

11!Hí MATHEMATICS : ERDŐS AND ULAM PROC. N. A. S. of decomposiion, properly speaking) conradics he possibiliy of defining a counably addiive real-valu ON EQUATIONS WITH SETS AS UNKNOWNS BY PAUL ERDŐS AND S. ULAM DEPARTMENT OF MATHEMATICS, UNIVERSITY OF COLORADO, BOULDER Communicaed May 27, 1968 We shall presen here a number of resuls in se heory concerning

More information

Boundedness and Exponential Asymptotic Stability in Dynamical Systems with Applications to Nonlinear Differential Equations with Unbounded Terms

Boundedness and Exponential Asymptotic Stability in Dynamical Systems with Applications to Nonlinear Differential Equations with Unbounded Terms Advances in Dynamical Sysems and Applicaions. ISSN 0973-531 Volume Number 1 007, pp. 107 11 Research India Publicaions hp://www.ripublicaion.com/adsa.hm Boundedness and Exponenial Asympoic Sabiliy in Dynamical

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

Research Article Existence and Uniqueness of Periodic Solution for Nonlinear Second-Order Ordinary Differential Equations

Research Article Existence and Uniqueness of Periodic Solution for Nonlinear Second-Order Ordinary Differential Equations Hindawi Publishing Corporaion Boundary Value Problems Volume 11, Aricle ID 19156, 11 pages doi:1.1155/11/19156 Research Aricle Exisence and Uniqueness of Periodic Soluion for Nonlinear Second-Order Ordinary

More information

The Optimal Stopping Time for Selling an Asset When It Is Uncertain Whether the Price Process Is Increasing or Decreasing When the Horizon Is Infinite

The Optimal Stopping Time for Selling an Asset When It Is Uncertain Whether the Price Process Is Increasing or Decreasing When the Horizon Is Infinite American Journal of Operaions Research, 08, 8, 8-9 hp://wwwscirporg/journal/ajor ISSN Online: 60-8849 ISSN Prin: 60-8830 The Opimal Sopping Time for Selling an Asse When I Is Uncerain Wheher he Price Process

More information

Backward stochastic dynamics on a filtered probability space

Backward stochastic dynamics on a filtered probability space Backward sochasic dynamics on a filered probabiliy space Gechun Liang Oxford-Man Insiue, Universiy of Oxford based on join work wih Terry Lyons and Zhongmin Qian Page 1 of 15 gliang@oxford-man.ox.ac.uk

More information

Empirical Process Theory

Empirical Process Theory Empirical Process heory 4.384 ime Series Analysis, Fall 27 Reciaion by Paul Schrimpf Supplemenary o lecures given by Anna Mikusheva Ocober 7, 28 Reciaion 7 Empirical Process heory Le x be a real-valued

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

Existence Theory of Second Order Random Differential Equations

Existence Theory of Second Order Random Differential Equations Global Journal of Mahemaical Sciences: Theory and Pracical. ISSN 974-32 Volume 4, Number 3 (22), pp. 33-3 Inernaional Research Publicaion House hp://www.irphouse.com Exisence Theory of Second Order Random

More information

Attractors for a deconvolution model of turbulence

Attractors for a deconvolution model of turbulence Aracors for a deconvoluion model of urbulence Roger Lewandowski and Yves Preaux April 0, 2008 Absrac We consider a deconvoluion model for 3D periodic flows. We show he exisence of a global aracor for he

More information

Some New Uniqueness Results of Solutions to Nonlinear Fractional Integro-Differential Equations

Some New Uniqueness Results of Solutions to Nonlinear Fractional Integro-Differential Equations Annals of Pure and Applied Mahemaics Vol. 6, No. 2, 28, 345-352 ISSN: 2279-87X (P), 2279-888(online) Published on 22 February 28 www.researchmahsci.org DOI: hp://dx.doi.org/.22457/apam.v6n2a Annals of

More information

On the probabilistic stability of the monomial functional equation

On the probabilistic stability of the monomial functional equation Available online a www.jnsa.com J. Nonlinear Sci. Appl. 6 (013), 51 59 Research Aricle On he probabilisic sabiliy of he monomial funcional equaion Claudia Zaharia Wes Universiy of Timişoara, Deparmen of

More information

arxiv: v1 [math.pr] 6 Oct 2008

arxiv: v1 [math.pr] 6 Oct 2008 MEASURIN THE NON-STOPPIN TIMENESS OF ENDS OF PREVISIBLE SETS arxiv:8.59v [mah.pr] 6 Oc 8 JU-YI YEN ),) AND MARC YOR 3),4) Absrac. In his paper, we propose several measuremens of he nonsopping imeness of

More information

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero JOURNAL OF MAEMAICAL ANALYSIS AND APPLICAIONS 24, 7887 1997 ARICLE NO. AY965143 A Necessary and Sufficien Condiion for he Soluions of a Funcional Differenial Equaion o Be Oscillaory or end o Zero Piambar

More information

Question 1: Question 2: Topology Exercise Sheet 3

Question 1: Question 2: Topology Exercise Sheet 3 Topology Exercise Shee 3 Prof. Dr. Alessandro Siso Due o 14 March Quesions 1 and 6 are more concepual and should have prioriy. Quesions 4 and 5 admi a relaively shor soluion. Quesion 7 is harder, and you

More information

BY PAWE L HITCZENKO Department of Mathematics, Box 8205, North Carolina State University, Raleigh, NC , USA

BY PAWE L HITCZENKO Department of Mathematics, Box 8205, North Carolina State University, Raleigh, NC , USA Absrac Tangen Sequences in Orlicz and Rearrangemen Invarian Spaces BY PAWE L HITCZENKO Deparmen of Mahemaics, Box 8205, Norh Carolina Sae Universiy, Raleigh, NC 27695 8205, USA AND STEPHEN J MONTGOMERY-SMITH

More information

Existence of multiple positive periodic solutions for functional differential equations

Existence of multiple positive periodic solutions for functional differential equations J. Mah. Anal. Appl. 325 (27) 1378 1389 www.elsevier.com/locae/jmaa Exisence of muliple posiive periodic soluions for funcional differenial equaions Zhijun Zeng a,b,,libi a, Meng Fan a a School of Mahemaics

More information

POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE

POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE Urainian Mahemaical Journal, Vol. 55, No. 2, 2003 POSITIVE AND MONOTONE SYSTEMS IN A PARTIALLY ORDERED SPACE A. G. Mazo UDC 517.983.27 We invesigae properies of posiive and monoone differenial sysems wih

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

arxiv:math/ v1 [math.nt] 3 Nov 2005

arxiv:math/ v1 [math.nt] 3 Nov 2005 arxiv:mah/0511092v1 [mah.nt] 3 Nov 2005 A NOTE ON S AND THE ZEROS OF THE RIEMANN ZETA-FUNCTION D. A. GOLDSTON AND S. M. GONEK Absrac. Le πs denoe he argumen of he Riemann zea-funcion a he poin 1 + i. Assuming

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

Fréchet derivatives and Gâteaux derivatives

Fréchet derivatives and Gâteaux derivatives Fréche derivaives and Gâeaux derivaives Jordan Bell jordan.bell@gmail.com Deparmen of Mahemaics, Universiy of Torono April 3, 2014 1 Inroducion In his noe all vecor spaces are real. If X and Y are normed

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

A Sharp Existence and Uniqueness Theorem for Linear Fuchsian Partial Differential Equations

A Sharp Existence and Uniqueness Theorem for Linear Fuchsian Partial Differential Equations A Sharp Exisence and Uniqueness Theorem for Linear Fuchsian Parial Differenial Equaions Jose Ernie C. LOPE Absrac This paper considers he equaion Pu = f, where P is he linear Fuchsian parial differenial

More information

arxiv: v1 [math.ca] 15 Nov 2016

arxiv: v1 [math.ca] 15 Nov 2016 arxiv:6.599v [mah.ca] 5 Nov 26 Counerexamples on Jumarie s hree basic fracional calculus formulae for non-differeniable coninuous funcions Cheng-shi Liu Deparmen of Mahemaics Norheas Peroleum Universiy

More information

Math-Net.Ru All Russian mathematical portal

Math-Net.Ru All Russian mathematical portal Mah-Ne.Ru All Russian mahemaical poral Aleksei S. Rodin, On he srucure of singular se of a piecewise smooh minimax soluion of Hamilon-Jacobi-Bellman equaion, Ural Mah. J., 2016, Volume 2, Issue 1, 58 68

More information

Singular control of SPDEs and backward stochastic partial diffe. reflection

Singular control of SPDEs and backward stochastic partial diffe. reflection Singular conrol of SPDEs and backward sochasic parial differenial equaions wih reflecion Universiy of Mancheser Join work wih Bern Øksendal and Agnès Sulem Singular conrol of SPDEs and backward sochasic

More information

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS SARAJEVO JOURNAL OF MATHEMATICS Vol.10 (22 (2014, 67 76 DOI: 10.5644/SJM.10.1.09 CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS ALMA OMERSPAHIĆ AND VAHIDIN HADŽIABDIĆ Absrac. This paper presens sufficien

More information

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous

More information

Approximating positive solutions of nonlinear first order ordinary quadratic differential equations

Approximating positive solutions of nonlinear first order ordinary quadratic differential equations Dhage & Dhage, Cogen Mahemaics (25, 2: 2367 hp://dx.doi.org/.8/233835.25.2367 APPLIED & INTERDISCIPLINARY MATHEMATICS RESEARCH ARTICLE Approximaing posiive soluions of nonlinear firs order ordinary quadraic

More information

Nonlinear Fuzzy Stability of a Functional Equation Related to a Characterization of Inner Product Spaces via Fixed Point Technique

Nonlinear Fuzzy Stability of a Functional Equation Related to a Characterization of Inner Product Spaces via Fixed Point Technique Filoma 29:5 (2015), 1067 1080 DOI 10.2298/FI1505067W Published by Faculy of Sciences and Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma Nonlinear Fuzzy Sabiliy of a Funcional

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

MATH 5720: Gradient Methods Hung Phan, UMass Lowell October 4, 2018

MATH 5720: Gradient Methods Hung Phan, UMass Lowell October 4, 2018 MATH 5720: Gradien Mehods Hung Phan, UMass Lowell Ocober 4, 208 Descen Direcion Mehods Consider he problem min { f(x) x R n}. The general descen direcions mehod is x k+ = x k + k d k where x k is he curren

More information

EXISTENCE OF S 2 -ALMOST PERIODIC SOLUTIONS TO A CLASS OF NONAUTONOMOUS STOCHASTIC EVOLUTION EQUATIONS

EXISTENCE OF S 2 -ALMOST PERIODIC SOLUTIONS TO A CLASS OF NONAUTONOMOUS STOCHASTIC EVOLUTION EQUATIONS Elecronic Journal of Qualiaive Theory of Differenial Equaions 8, No. 35, 1-19; hp://www.mah.u-szeged.hu/ejqde/ EXISTENCE OF S -ALMOST PERIODIC SOLUTIONS TO A CLASS OF NONAUTONOMOUS STOCHASTIC EVOLUTION

More information

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013 IMPLICI AND INVERSE FUNCION HEOREMS PAUL SCHRIMPF 1 OCOBER 25, 213 UNIVERSIY OF BRIISH COLUMBIA ECONOMICS 526 We have exensively sudied how o solve sysems of linear equaions. We know how o check wheher

More information

LIMIT AND INTEGRAL PROPERTIES OF PRINCIPAL SOLUTIONS FOR HALF-LINEAR DIFFERENTIAL EQUATIONS. 1. Introduction

LIMIT AND INTEGRAL PROPERTIES OF PRINCIPAL SOLUTIONS FOR HALF-LINEAR DIFFERENTIAL EQUATIONS. 1. Introduction ARCHIVUM MATHEMATICUM (BRNO) Tomus 43 (2007), 75 86 LIMIT AND INTEGRAL PROPERTIES OF PRINCIPAL SOLUTIONS FOR HALF-LINEAR DIFFERENTIAL EQUATIONS Mariella Cecchi, Zuzana Došlá and Mauro Marini Absrac. Some

More information

A Primal-Dual Type Algorithm with the O(1/t) Convergence Rate for Large Scale Constrained Convex Programs

A Primal-Dual Type Algorithm with the O(1/t) Convergence Rate for Large Scale Constrained Convex Programs PROC. IEEE CONFERENCE ON DECISION AND CONTROL, 06 A Primal-Dual Type Algorihm wih he O(/) Convergence Rae for Large Scale Consrained Convex Programs Hao Yu and Michael J. Neely Absrac This paper considers

More information

NONSMOOTHING IN A SINGLE CONSERVATION LAW WITH MEMORY

NONSMOOTHING IN A SINGLE CONSERVATION LAW WITH MEMORY Elecronic Journal of Differenial Equaions, Vol. 2(2, No. 8, pp. 8. ISSN: 72-669. URL: hp://ejde.mah.sw.edu or hp://ejde.mah.un.edu fp ejde.mah.sw.edu ejde.mah.un.edu (login: fp NONSMOOTHING IN A SINGLE

More information

Correspondence should be addressed to Nguyen Buong,

Correspondence should be addressed to Nguyen Buong, Hindawi Publishing Corporaion Fixed Poin Theory and Applicaions Volume 011, Aricle ID 76859, 10 pages doi:101155/011/76859 Research Aricle An Implici Ieraion Mehod for Variaional Inequaliies over he Se

More information

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires

More information