WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD

Size: px
Start display at page:

Download "WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD"

Transcription

1 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD JENNIFER RAE ANDERSON 1. Introduction A plama i a partially or completely ionized ga. Nearly all (approximately 99.9%) of the matter in the univere exit in the tate of plama, a oppoed to a olid, fluid, or a gaeou tate. Such a form of matter occur if the velocity of individual particle in a material achieve an enormou magnitude, perhap a izable fraction of the peed of light. Hence all matter, if heated to a ignificantly great temperature, will enter a plama tate. In term of practical ue, plama are of great interet to the energy, aeronautical, and aeropace indutrie among other, a they are ued in the production of electronic, (plama) engine, and laer, a well a, in harneing the power of nuclear energy. Plama are widely ued in olid tate phyic ince they are great conductor of electricity due to their free-flowing abundance of ion and electron. When a plama i of low denity or the time cale of interet are ufficiently mall, it i deemed to be colliionle, a colliion between particle become infrequent. Many example of colliionle plama occur in nature, including the olar wind, galactic nebulae, the Van Allen radiation belt, and comet tail. The fundamental equation which decribe the time evolution of a colliionle plama are given by the Vlaov-Maxwell ytem: (VM) t f + v x f + (E + v B) v f = ρ(t, x) = f(t, x, v) dv, j(t, x) = vf(t, x, v) dv t E = B j, E = ρ t B = E, B =. Here, f repreent the denity of (poitively-charged) ion in the plama, while ρ and j are the charge and current denity, and E and B repreent electric and magnetic field generated by the charge and current. The independent variable, t and x, v R 3 repreent time, poition, and velocity, repectively, and phyical contant, uch a the charge and ma of particle, a well a, the peed of light, have been normalized to one. In the preence of large velocitie, relativitic correction become important and the correponding ytem to conider i the relativitic analogue of (VM), denoted by (RVM) and contructed by replacing v with v ˆv = 1 + v 2 in the firt equation of (VM), called the Vlaov equation, and in the integrand of the current j. General reference on the kinetic equation of plama dynamic, uch a (VM) Thi work i ubmitted in partial fulfillment of the requirement of the Mater of Science degree in Mathematic at the Univerity of Texa at Arlington, 21; Advior - S. Pankavich. 1

2 2 JENNIFER RAE ANDERSON and (RVM), include [4] and [8]. Over the pat twenty-five year ignificant progre ha been made in the analyi of (RVM), pecifically, the global exitence of weak olution (which alo hold for (VM); ee [2]) and the determination of condition which enure global exitence of claical olution (originally dicovered in [5], and later in [6], and [1]) for the Cauchy problem. Additionally, a wide array of information ha been dicovered regarding the electrotatic verion of both (VM) and (RVM) - the Vlaov-Poion and relativitic Vlaov-Poion ytem, repectively. Thee model do not include magnetic effect within their formulation, and the electric field i given by an elliptic, rather than a hyperbolic equation. Thi implification ha led to a great deal of progre concerning the electrotatic ytem, including theorem regarding global exitence, tability, and long-time behavior of olution; though a global exitence theorem for claical olution in the relativitic cae ha remained eluive. Independent of thee advance, many of the mot baic exitence and regularity quetion remain unolved for (VM). The main difficulty which arie i the lo of trict hyperbolicity of the kinetic ytem due to the poibility that particle velocitie v may travel fater than the propagation of ignal from the electric and magnetic field, which do o at the peed of light c = 1. Often a remedy to the lack of progre on uch a problem i to reduce the dimenionality of the ytem. Unfortunately, poing the problem in one-dimenion (i.e., x, v R) eliminate the relevance of the magnetic field a the Maxwell ytem decouple, yielding the onedimenional Vlaov-Poion ytem: t f + v x f + E v f = (VP) x E = fdv. The lowet-dimenional reduction which include magnetic effect i the o-called one-andone-half-dimenional ytem which i contructed by taking x R but v R 2. Surpriingly, the quetion of exitence remain open even in thi cae. Thu, in order to tudy thi quetion, but keep the problem poed in a one-dimenional etting, we conider the following nonlinear ytem of hyperbolic PDE: t f + v x f + B v f = (SVM) t B + x B = f(t, x, v)dv. Since the field equation in (SVM) i hyperbolic, we denote it with a magnetic field variable B, a oppoed to the electric field E of (VP) which atifie an elliptic equation. Notice that thee equation retain the main difficulty of (VM), namely the interaction between characteritic particle velocitie v and contant field velocitie c = 1. The ytem (SVM) i upplemented by given initial data (IC) f(, x, v) = f (x, v), B(, x) = B (x) where f C 1 c (R 2 ) and B Lip(R). Here, t i again time, x R i pace, v R i momentum (and velocity ince the ma ha been normalized), f = f(t, x, v) repreent the denity of ion in phae pace (x, v) over time, and B = B(t, x) i effectively a magnetic field. We wih to prove the local-in-time exitence of a unique olution in the pace of Lipchitz function. Theorem 1.1. There exit T > and unique function f Lip([, T ] R 2 ), B Lip([, T ] R R) uch that f and B atify (SVM) and (IC).

3 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD Notation. In order to prove the theorem, we begin by defining the following norm. For f C(R 2 ), we define Similarly for B C(R), we ue f = up f(x, v). x,v B = up B(x) x where the norm on the domain R 2 and R are ditinguihed by context. Furthermore, we will ue f Lip = infc : f(x, v) f(y, u) c x y 2 + v u 2, x, y, v, u R} for any f Lip(R 2 ) and the analogou definition for function which have domain R. Finally, for any T > and f C([, T ]; Lip(R 2 )) we define the norm f L = up f(t) Lip. t [,T ] Each will be utilized in the local exitence proof to follow. Additionally, we define the upremum of the velocity upport of a given ion ditribution by P f (t) := up v : x uch that f(t, x, v) }. Before beginning the proof of Theorem 1.1, we firt derive ome a priori etimate on function which atify (SVM) with (IC). 2. A priori bound We begin by etimating the magnetic field, auming the ion ditribution and initial data are known in advance. Lemma 2.1. Let T >, B Lip(R), and f Lip([, T ] R 2 ) be given. Conider B Lip([, T ] R) to be the unique olution of the linear Cauchy problem t B + x B = fdv B(, x) = B (x). then, for every t [, T ] (1) B(t) B + 2 and P f () f() d T (2) B L B Lip + 2 f L P f ()d. Proof. We will ue the method of characteritic. Let χ(, t, x) : [, T ] [, T ] R R atify χ(, t, x) = 1 χ(t, t, x) = x.

4 4 JENNIFER RAE ANDERSON Then χ i linear in and o it mut atify χ(, t, x) = t + x. Uing thi we ee d d B(, t + x) = tb(, t + x) + x B(, t + x) = f(, t + x, v)dv Integrating with repect to from to t yield (3) B(t, x) = B(, x t) Pf () = f(, t + x, v)dv P f () Pf () P f () Taking the upremum over all x R, we conclude or up x B(t, x) up B(, x) + 2 x B(t) B + 2 which prove (1). Further, from (3) B(t, x) B(t, y) = B (x t) B (y t) Pf () for every x, y R. So, taking x y, we have B(t, x) B(t, y) x y P f () = B (x t) B (y t) + x y f(, t + x, v)dvd. P f () up f(, x, v)d x,v P f () f() d (f(, t + x, v) f(, t + y, v)) dvd Pf () P f () f(, t + x, v) f(, t + y, v) dvd. x y Since thi yield x y = (x t) (y t) = ( t + x) ( t + y), B(t, x) B(t, y) x y B Lip + B Lip + 2 Pf () P f () f() Lip dvd P f () f L d T B Lip + 2 f L P f ()d. Taking the infemum over uch value of x and y how (2). With thi reult, we can now etimate the Lipchitz norm of the reulting characteritic curve induced by the magnetic field.

5 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD 5 Lemma 2.2. Let T > and B Lip([, T ] R) be given and define X, V Lip([, T ] 2 R 2 ) a the unique olution to the ytem of ODE with Cauchy data then X(, t, x, v) = V (, t, x, v) V (, t, x, v) = B(, X(, t, x, v)) X(t, t, x, v) = x V (t, t, x, v) = v (4) X L + V L 2 [1 + T max1, B L }( X L + V L )]. Proof. Firt oberve from the characteritic ODE and Thu, we have and X(, t, x, v) = x V (, t, x, v) = v X(, t, x, v) X(, t, y, v) = x y X(, t, x, v) X(, t, x, u) = V (, t, x, v) V (, t, y, v) = V (, t, x, v) V (, t, x, u) = v u Taking abolute value yield, V (τ, t, x, v)dτ B(τ, X(τ, t, x, v))dτ. (V (τ, t, x, v) V (τ, t, y, v)) dτ, (V (τ, t, x, v) V (τ, t, x, u)) dτ, (B(τ, X(τ, t, x, v)) B(τ, X(τ, t, y, v))) dτ, X(, t, x, v) X(, t, y, v) = x y + and imilarly for the difference in v X(, t, x, v) X(, t, x, u) = (B(τ, X(τ, t, x, v)) B(τ, X(τ, t, x, u))) dτ. x y (1 + V (τ, t, x, v) V (τ, t, y, v) dτ V L dτ) x y (1 + T V L ) v u V (τ, t, x, v) V (τ, t, x, u) dτ V L dτ v u T V L.

6 6 JENNIFER RAE ANDERSON We proceed analogouly for the velocity characteritic, o that and V (, t, x, v) V (, t, y, v) = = x y V (, t, x, v) V (, t, x, u) v u + B(τ, X(τ, t, x, v)) B(τ, X(τ, t, y, v)) dτ B(τ, X(τ, t, x, v)) B(τ, X(τ, t, y, v)) X(τ, t, x, v) X(τ, t, y, v) X(τ, t, x, v) X(τ, t, y, v) dτ B L X L dτ T x y B L X L, v u (1 + Adding the etimate on X together we find and taking the upremum over and t, We do the ame for V, which give u and thu B(τ, X(τ, t, x, v)) B(τ, X(τ, t, x, u)) dτ B L X L dτ) v u (1 + T B L X L ). X(, t) Lip 1 + 2T V L, X L 1 + 2T V L. V (, t) Lip 1 + 2T B L X L, V L 1 + 2T B L X L. Moreover, we combine the etimate on characteritic o that and thi complete the proof. X L + V L 2 [1 + T max1, B L }( X L + V L )] Here, we note that characteritic will be abbreviated in the future a X() and V () repectively. Thu, we will uppre their dependence on t, x, and v for brevity. Next, we etimate that particle ditribution auming that the field i known. Lemma 2.3. Let T > and B Lip([, T ] R) be given. Define the characteritic X and V a in Lemma 2.2 and let f Lip([, T ] R 2 ) be the unique olution to t f + v x f + B v f = f(, x, v) = f (x, v) then for all t [, T ] (5) f(t) = f and (6) f L f Lip ( X L + V L ).

7 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD 7 Proof. The former reult follow from the conervation of ion along characteritic. Uing X and V, we may write the Vlaov equation a d d f(, X(), V ()) = tf(, X(), V ())+V () x f(, X(), V ())+B(, X()) v f(, X(), V ()) =. Integrating with repect to from to t we obtain, f(t, x, v) = f(, X(), V ()) = f (X(), V ()). Hence it follow, f(t) = f Further, let u denote for fixed x, y, v, u R the quantity R(t) = X(, t, x, v) X(, t, y, u) 2 + V (, t, x, v) V (, t, y, u) 2. Then, etimating the Lipchitz norm of f, we find f(t, x, v) f(t, y, u) x y 2 + v u 2 f(, X(, t, x, v), V (, t, x, v)) f(, X(, t, y, u), V (, t, y, u)) R(t) = R(t) R() X(, t, x, v) X(, t, y, u) + V (, t, x, v) + V (, t, y, u) f Lip R() f Lip X(, t, x, v) X(, t, y, u) x y 2 + v u 2 + f Lip V (, t, x, v) + V (, t, y, u) x y 2 + v u 2 f Lip X(, t) Lip + f Lip V (, t) Lip whence f(t) Lip f Lip X L + f Lip V L. Taking the upremum over t [, T ] give (6). 3. Local exitence and proof of Theorem 1.1 Uing the a priori etimate of the previou ection, we can now begin to prove the exitence theorem. Since, f i given and ha compact upport, let R, R 1 > be uch that upp(f ) [ R, R ] [ R 1, R 1 ]. For f Lip([, T ] R 2 ) we will refer to the following propertie: (P1) f(, x, v) = f (x, v) (P2) upp(f(t,, )) [ R 1, R + 1] [ R 1 1, R 1 + 1], t [, T ] (P3) f L 4 f Lip. For any T >, we define the function pace G T := f Lip([, T ] R 2 ) : f atifie (P 1) (P 3) }. Notice that G T i nonempty a the function f(t, x, v) = f (x, v) for all t [, T ] i certainly an element of G T. We claim that when equipped with the norm, f GT = up t [,T ] f(t), G T i a complete, cloed ubet of the Banach pace Lip([, T ] R 2 ) for any T >. To how thi, all that mut be demontrated i that G T i complete. If we conider a Cauchy equence of function f n in G T, becaue we are uing the C ([, T ] R 2 ) norm and that pace i complete, there exit a limit f C([, T ] R 2 ) uch that f n f uniformly (i.e.,

8 8 JENNIFER RAE ANDERSON in the upremum norm). Certainly, f atifie condition (P1) - (P3). In addition, it follow from Arzelá-Acoli (cf. [7]) that the uniform limit of Lipchitz function i alo Lipchitz and will hare the ame uniform Lipchitz contant a thoe in the equence. Thu, f G T and the ubet i complete. Next, we will contruct a map φ : G T Lip([, T ] R 2 ) a follow. Given f G T define B Lip([, T ] R) to be the unique olution of t B + x B = fdv B(, x) = B (x). From B, define g Lip([, T ] R 2 ) a the unique olution to t g + v x g + B v g = g(, x, v) = f (x, v) and let the mapping φ be defined by φ(f) = g. In order to ue the Contraction Mapping Principle, we mut prove that for every ufficiently mall T >, we have φ : G T G T and φ i a contraction on thi pace. The following two lemma do jut thi. Lemma 3.1. There exit T 1 > uch that for any T (, T 1 ) we have φ : G T G T. Proof. To how thi we mut how, g L 4 f Lip and upp(f(t, )) [ R 1, R + 1] [ R 1 1, R 1 + 1]. Notice that condition (P1) hold by contruction of φ. From Lemma 2.3 we know g L f Lip ( X L + V L ) where X and V are the characteritic defined from B in Lemma 2.2. Uing Lemma 2.2 we can reduce the right ide to knowledge of the Lipchitz norm of B ince X L + V L 2 [1 + T max1, B L }( X L + V L )]. Now, utilizing Lemma 2.1 and the fact that f G T for ome T >, we find Let T B L B Lip + 2 f L P f ()d B Lip + 2 f L T (R 1 + 1) B Lip + 8 f Lip T (R 1 + 1) 1 T 1 = min 4, 1 } 4 [ B Lip + 2 f Lip (R 1 + 1)] 1. Then, it follow from the bound on B L that X L + V L ( X L + V L ) on the interval [, T 1 ]. Thi implie X L + V L 4 and we have, g L 4 f Lip where the L norm i taken over the interval [, T 1 ]. To how our upport contraint i alo atified, we compute for characteritic along which g,

9 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD 9 P g (t) : = up v : x R with g(t, x, v) } = up v : x R with g(, X(, t, x, v), V (, t, x, v)) } = up v : x R with f (X(, t, x, v), V (, t, x, v)) } If we invert our characteritic (ee [4] for more detail) and allow y = X(, t, x, v) w = V (, t, x, v) then it follow that x = X(t,, y, w) v = V (t,, y, w). Thu we conclude, P g (t) = up V (t,, y, w) : y with f (y, w) }. Uing the definition of characteritic and integrating over [, t] give u V (t, t, x, v) V (, t, x, v) = Taking t = we have V (,, x, v) V (,, x, v) = If we then let = t thi become V (,, x, v) V (t,, x, v) = or V (t,, x, v) V (,, x, v) = B(τ, X(τ, t, x, v))dτ B(τ, X(τ,, x, v))dτ. B(τ, X(τ,, x, v))dτ B(τ, X(τ,, x, v))dτ B(τ) dτ Hence, for all x, v R and any characteritic along which f, we have V (t,, x, v) V (,, x, v) + B(τ) dτ If we take the upremum over all characteritic uch that f then we have P g (t) P g () + Utilizing (1) from Lemma 2.1 we find B(t) B + 2 B(τ) dτ P f () f() d.

10 1 JENNIFER RAE ANDERSON So, we conider t [, T 2 ] for ome T 2 > to be determined and etimate the integral above uing (5), (P2), and (P3) ince f G T ( τ ) B(τ) dτ B + 2 P f () f() d dτ ( ) T2 T2 ( B + 2 B + 2 T2 T2 P f () f() d (R 1 + 1) f d T 2 B + 2(T 2 ) 2 (R 1 + 1) f. We can then take T 2 mall enough uch that T 2 B + 2T 2 (R 1 + 1) f < 1, and becaue g() = f, we have P g (t) P g () + R B(τ) dτ Latly, let T 3 < 1 R. Since 1+1 d X(,, x, v) = V (,, x, v), d we take a characteritic X(, t, x, v) along which g and find X(t,, x, v) = X(,, x, v) + x + T3 (R 1 + 1)d = x + T 3 (R 1 + 1) R + 1. V (,, x, v)d Finally, if we conider T1 < mint 1, T 2, T 3 } then all of the above tatement mut hold on [, T1 ]. Thu, condition (P2) and (P3) hold for g = φ(f) and for any T (, T1 ), we have φ : G T G T. Next, we how that the mapping we have contructed i indeed a contraction on G T for T > ufficiently mall. Lemma 3.2. There exit T 2 > uch that for any T (, T 2 ), φ i a contraction on G T. Proof. Let f 1, f 2 G T, Let B i be the olution of t B i + x B i = f i dv B i (, x) = B (x) and define g i = φ(f i ) for i = 1, 2. Then, a in Lemma 2.1, we can write B 1 (t, x) B 2 (t, x) = B 1 (, x t) B 2 (, x t) R1+1 R 1 1 ) dτ dτ (f 1 (, t + x, v) f 2 (, t + x, v)) dvd.

11 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD 11 Taking the abolute value and applying the triangle inequality, B 1 (t, x) B 2 (t, x) B (x t) B (x t) + R1+1 R 1 1 2(R 1 + 1) and we conclude the uniform bound R1+1 (f 1 f 2 )() dvd (f 1 f 2 )() d R 1 1 (7) (B 1 B 2 )(t) 2(R 1 + 1)T up (f 1 f 2 )() [,T ] for every t [, T ]. Subtracting the g equation we ee g 1 g 2 atifie, Adding and ubtracting B 2 v g 1, t (g 1 g 2 ) + v x (g 1 g 2 ) + B 1 v g 1 B 2 v g 2 =. t (g 1 g 2 ) + v x (g 1 g 2 ) + B 1 v g 1 B 2 v g 1 + B 2 v g 1 B 2 v g 2 =. Rearranging we now have, t (g 1 g 2 ) + v x (g 1 g 2 ) + B 2 v (g 1 g 2 ) = (B 1 B 2 ) v g 1. Conider, the characteritic X 2 (, t, x, v), V 2 (, t, x, v) that atify X 2(, t, x, v) = V 2 (, t, x, v) V 2(, t, x, v) = B 2 (, X 2 (, t, x, v)) X 2 (t, t, x, v) = x V 2 (t, t, x, v) = v. Then we write the equation for g 1 g 2 a f 1 (, t + x, v) f 2 (, t + x, v) dvd d d (g 1 g 2 )(, X 2 (, t, x, v), V 2 (, t, x, v)) = (B 1 B 2 ) v g 1 (, X 2 (, t, x, v), V 2 (, t, x, v)) Integrating over [, t], thi become (g 1 g 2 )(t, X 2 (t, t, x, v), V 2 (t, t, x, v)) = (g 1 g 2 )(, X 2 (, t, x, v), V 2 (, t, x, v)) (B 1 B 2 ) v g 1 (, X 2 (, t, x, v), V 2 (, t, x, v))d But g 1 (, x, v) = g 2 (, x, v) = f (x, v) o (g 1 g 2 )(, x, v) =. Uing thi, the bound on g 1 L from (P3), and (7) we have (g 1 g 2 )(t, x, v) T (B 1 B 2 )(, X 2 (, t, x, v)) g 1 () Lip d (B 1 B 2 )() g 1 L d 2T 2 (R 1 + 1) g 1 L up [,T ] 8T 2 (R 1 + 1) f Lip f 1 f 2 GT (f 1 f 2 )()

12 12 JENNIFER RAE ANDERSON If we take T2 1 <, then we ee for T < T 8(R1+1) f 2, t [, T ], and for all x, v R, Lip where A < 1. Thu it follow that (g 1 g 2 )(t, x, v) A f 1 f 2 GT g 1 g 2 GT A f 1 f 2 GT and φ : G T G T i a contraction for all T (, T 2 ). The lat lemma i devoted to howing that no olution of (SVM) other than the one that we contruct can exit in Lip([, T ] R 2 ). Lemma 3.3. There exit at mot one olution to (SVM), for (f, B) Lip([, T ] R 2 ) Lip([, T ] R) which atify the given initial condition (IC). Proof. Suppoe that (f 1, B 1 ), (f 2, B 2 ) Lip([, T ] R 2 ) Lip([, T ] R) are two olution to our ytem. Define f(t, x, v) := (f 1 f 2 )(t, x, v) and B(t, x, v) := (B 1 B 2 )(t, x, v). Then we ee = t (f 1 f 2 ) + v x (f 1 f 2 ) + B 1 v f 1 B 2 v f 2 = t f + v x f + B 1 v f 1 B 2 v f 1 + B 2 v f 2 = t f + v x f + B v f 1 + B 2 v f If we let X 2, V 2 be characteritic atifying X 2(, t, x, v) = V 2 (, t, x, v) V 2(, t, x, v) = B 2 (, X 2 (, t, x, v)) X 2 (t, t, x, v) = x V 2 (t, t, x, v) = v, then we have d d (f(, X 2(, t, x, v), V 2 (, t, x, v)) = (B v f 1 )(, X 2 (, t, x, v), V 2 (, t, x, v)). Integrating and uing f(, x, v) = f 1 (, x, v) f 2 (, x, v) = for every x, v R, we have f(t, x, v) = f(, X 2 (, t, x, v), V 2 (, t, x, v)) B(, X 2 (, t, x, v)) v f 1 (, X 2 (, t,, v), V 2 (, t, x, v))d f 1 L B() d Taking the upremum of both ide we ee, (8) f(t) f L B() d. Subtracting the B equation we oberve, t B + x B = fdv

13 WELL-POSEDNESS OF A ONE-DIMENSIONAL PLASMA MODEL WITH A HYPERBOLIC FIELD 13 and thu Integrating yield, d B(, t + x) = d B(t, x) = B(, x t) Pf () f(, t + x, v)dv. P f () f(, t + x, v)dvd. Becaue B(, x) = B 1 (, x) B 2 (, x) = B (x) B (x) = we find (9) B(t) 2 Adding (8) and (9) we have, f(t) + B(t) P f () f() d. max f L, 2P f ()} ( f() + B() ) d Since f Lip([, T ] R 2 ) i uniformly bounded and both f 1 and f 2 inherit the compact velocity upport of f, there i C > uch that f(t) + B(t) C Applying Grönwall inequality (cf. [3]), we arrive at f(t) + B(t). ( f() + B() ) d. So it mut follow that f and B, and thu f 1 = f 2 with B 1 = B 2. Hence, we ee that there can be at mot one olution to (SVM) within the pace of Lipchitz function. We are now at the point where we can apply Lemma 3.1, 3.2, and 3.3 in order to conclude by the contraction mapping principal that Theorem 1.1 i true. Proof of Theorem 1.1. Let T = mint1, T2 } and define G = G T. Then, we know from Lemma 3.1 and 3.2 that φ i a contraction on G. Becaue G i a complete, cloed ubet of a Banach pace, we may apply the contraction mapping principal and conclude that there exit a unique f = f(t, x, v) G uch that φ(f) = f. Let B = B(t, x) Lip([, T ] R be the unique olution to t B + x B = fdv (1) B(, x) = B (x). Notice that by Lemma 2.2, ince f Lip([, T ] R 2 ), it follow that B i alo Lipchitz. Then, becaue g = φ(f) = f atifie t g + v x g + B v g = g(, x, v) = f (x, v), we ee that (f, B) atifie (SVM) and (IC) t f + v x f + B v f = t B + x B = f(t, x, v)dv f(, x, v) = f (x, v) B(, x) = B (x)

14 14 JENNIFER RAE ANDERSON where f i the fixed point and B i defined by (1). Further from Lemma 3.3 we know that (f, B) i the only pair of Lipchitz function that atify (SVM) and (IC). Thu, our contructed olution i unique in thi pace. 4. Concluion Future work for thi topic include jutifying the exitence and uniquene of claical olution, f, B C 1. Alo of interet, i the quetion of global-in-time olution. Finally, we are alo intereted in howing that there are no teady tate olution except f = B and determining the tability of the zero olution in different L p norm. Reference [1] Bouchut, F., Gole, F., and Pallard, C. Claical olution and the Glaey-Strau theorem for the 3D Vlaov-Maxwell ytem. Arch. Ration. Mech. Anal. 17, 1 (23), [2] DiPerna, R. J., and Lion, P.-L. Global weak olution of Vlaov-Maxwell ytem. Comm. Pure Appl. Math. 42, 6 (1989), [3] Evan, L. C. Partial differential equation, vol. 19 of Graduate Studie in Mathematic. American Mathematical Society, Providence, RI, [4] Glaey, R. T. The Cauchy problem in kinetic theory. Society for Indutrial and Applied Mathematic (SIAM), Philadelphia, PA, [5] Glaey, R. T., and Strau, W. A. Singularity formation in a colliionle plama could occur only at high velocitie. Arch. Rational Mech. Anal. 92, 1 (1986), [6] Klainerman, S., and Staffilani, G. A new approach to tudy the Vlaov-Maxwell ytem. Commun. Pure Appl. Anal. 1, 1 (22), [7] Rudin, W. Principle of mathematical analyi, third ed. McGraw-Hill Book Co., New York, International Serie in Pure and Applied Mathematic. [8] van Kampen, N., and Felderhof, B. Theoretical Method in Plama Phyic. Wiley, New York, NY, 1967.

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL GLASNIK MATEMATIČKI Vol. 38583, 73 84 TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL p-laplacian Haihen Lü, Donal O Regan and Ravi P. Agarwal Academy of Mathematic and Sytem Science, Beijing, China, National

More information

February 5, :53 WSPC/INSTRUCTION FILE Mild solution for quasilinear pde

February 5, :53 WSPC/INSTRUCTION FILE Mild solution for quasilinear pde February 5, 14 1:53 WSPC/INSTRUCTION FILE Mild olution for quailinear pde Infinite Dimenional Analyi, Quantum Probability and Related Topic c World Scientific Publihing Company STOCHASTIC QUASI-LINEAR

More information

Unbounded solutions of second order discrete BVPs on infinite intervals

Unbounded solutions of second order discrete BVPs on infinite intervals Available online at www.tjna.com J. Nonlinear Sci. Appl. 9 206), 357 369 Reearch Article Unbounded olution of econd order dicrete BVP on infinite interval Hairong Lian a,, Jingwu Li a, Ravi P Agarwal b

More information

Convex Hulls of Curves Sam Burton

Convex Hulls of Curves Sam Burton Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall

More information

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations International Scholarly Reearch Network ISRN Mathematical Analyi Volume 20, Article ID 85203, 9 page doi:0.502/20/85203 Reearch Article Exitence for Nonocillatory Solution of Higher-Order Nonlinear Differential

More information

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that

Problem 1. Construct a filtered probability space on which a Brownian motion W and an adapted process X are defined and such that Stochatic Calculu Example heet 4 - Lent 5 Michael Tehranchi Problem. Contruct a filtered probability pace on which a Brownian motion W and an adapted proce X are defined and uch that dx t = X t t dt +

More information

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.:

MATEMATIK Datum: Tid: eftermiddag. A.Heintz Telefonvakt: Anders Martinsson Tel.: MATEMATIK Datum: 20-08-25 Tid: eftermiddag GU, Chalmer Hjälpmedel: inga A.Heintz Telefonvakt: Ander Martinon Tel.: 073-07926. Löningar till tenta i ODE och matematik modellering, MMG5, MVE6. Define what

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity

Chapter 1 Basic Description of Laser Diode Dynamics by Spatially Averaged Rate Equations: Conditions of Validity Chapter 1 Baic Decription of Laer Diode Dynamic by Spatially Averaged Rate Equation: Condition of Validity A laer diode i a device in which an electric current input i converted to an output of photon.

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

Chapter 13. Root Locus Introduction

Chapter 13. Root Locus Introduction Chapter 13 Root Locu 13.1 Introduction In the previou chapter we had a glimpe of controller deign iue through ome imple example. Obviouly when we have higher order ytem, uch imple deign technique will

More information

Multi-dimensional Fuzzy Euler Approximation

Multi-dimensional Fuzzy Euler Approximation Mathematica Aeterna, Vol 7, 2017, no 2, 163-176 Multi-dimenional Fuzzy Euler Approximation Yangyang Hao College of Mathematic and Information Science Hebei Univerity, Baoding 071002, China hdhyywa@163com

More information

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES Sanghyun Cho Abtract. We prove a implified verion of the Nah-Moer implicit function theorem in weighted Banach pace. We relax the

More information

Singular perturbation theory

Singular perturbation theory Singular perturbation theory Marc R. Rouel June 21, 2004 1 Introduction When we apply the teady-tate approximation (SSA) in chemical kinetic, we typically argue that ome of the intermediate are highly

More information

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS Electronic Journal of Differential Equation, Vol. 206 (206), No. 204, pp. 8. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR

More information

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES DOUGLAS R. ANDERSON Abtract. We are concerned with the repreentation of polynomial for nabla dynamic equation on time cale. Once etablihed,

More information

Hyperbolic Partial Differential Equations

Hyperbolic Partial Differential Equations Hyperbolic Partial Differential Equation Evolution equation aociated with irreverible phyical procee like diffuion heat conduction lead to parabolic partial differential equation. When the equation i a

More information

Molecular Dynamics Simulations of Nonequilibrium Effects Associated with Thermally Activated Exothermic Reactions

Molecular Dynamics Simulations of Nonequilibrium Effects Associated with Thermally Activated Exothermic Reactions Original Paper orma, 5, 9 7, Molecular Dynamic Simulation of Nonequilibrium Effect ociated with Thermally ctivated Exothermic Reaction Jerzy GORECKI and Joanna Natalia GORECK Intitute of Phyical Chemitry,

More information

List coloring hypergraphs

List coloring hypergraphs Lit coloring hypergraph Penny Haxell Jacque Vertraete Department of Combinatoric and Optimization Univerity of Waterloo Waterloo, Ontario, Canada pehaxell@uwaterloo.ca Department of Mathematic Univerity

More information

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Hindawi Function Space Volume 2017, Article ID 7916730, 8 page http://doi.org/10.1155/2017/7916730 Reearch Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Huahui Zhan 1 and Bifen Xu

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

Preemptive scheduling on a small number of hierarchical machines

Preemptive scheduling on a small number of hierarchical machines Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,

More information

General System of Nonconvex Variational Inequalities and Parallel Projection Method

General System of Nonconvex Variational Inequalities and Parallel Projection Method Mathematica Moravica Vol. 16-2 (2012), 79 87 General Sytem of Nonconvex Variational Inequalitie and Parallel Projection Method Balwant Singh Thakur and Suja Varghee Abtract. Uing the prox-regularity notion,

More information

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

c n b n 0. c k 0 x b n < 1 b k b n = 0. } of integers between 0 and b 1 such that x = b k. b k c k c k

c n b n 0. c k 0 x b n < 1 b k b n = 0. } of integers between 0 and b 1 such that x = b k. b k c k c k 1. Exitence Let x (0, 1). Define c k inductively. Suppoe c 1,..., c k 1 are already defined. We let c k be the leat integer uch that x k An eay proof by induction give that and for all k. Therefore c n

More information

On mild solutions of a semilinear mixed Volterra-Fredholm functional integrodifferential evolution nonlocal problem in Banach spaces

On mild solutions of a semilinear mixed Volterra-Fredholm functional integrodifferential evolution nonlocal problem in Banach spaces MAEMAIA, 16, Volume 3, Number, 133 14 c Penerbit UM Pre. All right reerved On mild olution of a emilinear mixed Volterra-Fredholm functional integrodifferential evolution nonlocal problem in Banach pace

More information

Multicolor Sunflowers

Multicolor Sunflowers Multicolor Sunflower Dhruv Mubayi Lujia Wang October 19, 2017 Abtract A unflower i a collection of ditinct et uch that the interection of any two of them i the ame a the common interection C of all of

More information

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem An Inequality for Nonnegative Matrice and the Invere Eigenvalue Problem Robert Ream Program in Mathematical Science The Univerity of Texa at Dalla Box 83688, Richardon, Texa 7583-688 Abtract We preent

More information

Codes Correcting Two Deletions

Codes Correcting Two Deletions 1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of

More information

New bounds for Morse clusters

New bounds for Morse clusters New bound for More cluter Tamá Vinkó Advanced Concept Team, European Space Agency, ESTEC Keplerlaan 1, 2201 AZ Noordwijk, The Netherland Tama.Vinko@ea.int and Arnold Neumaier Fakultät für Mathematik, Univerität

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

One Class of Splitting Iterative Schemes

One Class of Splitting Iterative Schemes One Cla of Splitting Iterative Scheme v Ciegi and V. Pakalnytė Vilniu Gedimina Technical Univerity Saulėtekio al. 11, 2054, Vilniu, Lithuania rc@fm.vtu.lt Abtract. Thi paper deal with the tability analyi

More information

in a circular cylindrical cavity K. Kakazu Department of Physics, University of the Ryukyus, Okinawa , Japan Y. S. Kim

in a circular cylindrical cavity K. Kakazu Department of Physics, University of the Ryukyus, Okinawa , Japan Y. S. Kim Quantization of electromagnetic eld in a circular cylindrical cavity K. Kakazu Department of Phyic, Univerity of the Ryukyu, Okinawa 903-0, Japan Y. S. Kim Department of Phyic, Univerity of Maryland, College

More information

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order Computer and Mathematic with Application 64 (2012) 2262 2274 Content lit available at SciVere ScienceDirect Computer and Mathematic with Application journal homepage: wwweleviercom/locate/camwa Sharp algebraic

More information

Theoretical Computer Science. Optimal algorithms for online scheduling with bounded rearrangement at the end

Theoretical Computer Science. Optimal algorithms for online scheduling with bounded rearrangement at the end Theoretical Computer Science 4 (0) 669 678 Content lit available at SciVere ScienceDirect Theoretical Computer Science journal homepage: www.elevier.com/locate/tc Optimal algorithm for online cheduling

More information

Electrodynamics Part 1 12 Lectures

Electrodynamics Part 1 12 Lectures NASSP Honour - Electrodynamic Firt Semeter 2014 Electrodynamic Part 1 12 Lecture Prof. J.P.S. Rah Univerity of KwaZulu-Natal rah@ukzn.ac.za 1 Coure Summary Aim: To provide a foundation in electrodynamic,

More information

INITIAL-VALUE PROBLEMS FOR HYBRID HADAMARD FRACTIONAL DIFFERENTIAL EQUATIONS

INITIAL-VALUE PROBLEMS FOR HYBRID HADAMARD FRACTIONAL DIFFERENTIAL EQUATIONS Electronic Journal of Differential Equation, Vol. 204 204, No. 6, pp. 8. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu ftp ejde.math.txtate.edu INITIAL-VALUE PROBLEMS FOR

More information

PHYS 110B - HW #6 Spring 2004, Solutions by David Pace Any referenced equations are from Griffiths Problem statements are paraphrased

PHYS 110B - HW #6 Spring 2004, Solutions by David Pace Any referenced equations are from Griffiths Problem statements are paraphrased PHYS B - HW #6 Spring 4, Solution by David Pace Any referenced equation are from Griffith Problem tatement are paraphraed. Problem. from Griffith Show that the following, A µo ɛ o A V + A ρ ɛ o Eq..4 A

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON

THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON Anal. Theory Appl. Vol. 28, No. (202), 27 37 THE HAUSDORFF MEASURE OF SIERPINSKI CARPETS BASING ON REGULAR PENTAGON Chaoyi Zeng, Dehui Yuan (Hanhan Normal Univerity, China) Shaoyuan Xu (Gannan Normal Univerity,

More information

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document.

SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU. I will collect my solutions to some of the exercises in this book in this document. SOLUTIONS TO ALGEBRAIC GEOMETRY AND ARITHMETIC CURVES BY QING LIU CİHAN BAHRAN I will collect my olution to ome of the exercie in thi book in thi document. Section 2.1 1. Let A = k[[t ]] be the ring of

More information

Laplace Transformation

Laplace Transformation Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou

More information

UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE

UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE SEPPO GRANLUND AND NIKO MAROLA Abtract. We conider planar olution to certain quailinear elliptic equation ubject to the Dirichlet boundary

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES

MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES Fixed Point Theory, 5(24, No. 2, 475-486 http://www.math.ubbcluj.ro/ nodeacj/fptcj.html MULTIPLE POSITIVE SOLUTIONS OF BOUNDARY VALUE PROBLEMS FOR P-LAPLACIAN IMPULSIVE DYNAMIC EQUATIONS ON TIME SCALES

More information

1. The F-test for Equality of Two Variances

1. The F-test for Equality of Two Variances . The F-tet for Equality of Two Variance Previouly we've learned how to tet whether two population mean are equal, uing data from two independent ample. We can alo tet whether two population variance are

More information

Robustness analysis for the boundary control of the string equation

Robustness analysis for the boundary control of the string equation Routne analyi for the oundary control of the tring equation Martin GUGAT Mario SIGALOTTI and Mariu TUCSNAK I INTRODUCTION AND MAIN RESULTS In thi paper we conider the infinite dimenional ytem determined

More information

SOME RESULTS ON INFINITE POWER TOWERS

SOME RESULTS ON INFINITE POWER TOWERS NNTDM 16 2010) 3, 18-24 SOME RESULTS ON INFINITE POWER TOWERS Mladen Vailev - Miana 5, V. Hugo Str., Sofia 1124, Bulgaria E-mail:miana@abv.bg Abtract To my friend Kratyu Gumnerov In the paper the infinite

More information

arxiv: v2 [nucl-th] 3 May 2018

arxiv: v2 [nucl-th] 3 May 2018 DAMTP-207-44 An Alpha Particle Model for Carbon-2 J. I. Rawlinon arxiv:72.05658v2 [nucl-th] 3 May 208 Department of Applied Mathematic and Theoretical Phyic, Univerity of Cambridge, Wilberforce Road, Cambridge

More information

Asymptotic behavior of solutions of mixed problem for linear thermo-elastic systems with microtemperatures

Asymptotic behavior of solutions of mixed problem for linear thermo-elastic systems with microtemperatures Mathematica Aeterna, Vol. 8, 18, no. 4, 7-38 Aymptotic behavior of olution of mixed problem for linear thermo-elatic ytem with microtemperature Gulhan Kh. Shafiyeva Baku State Univerity Intitute of Mathematic

More information

arxiv: v2 [math.nt] 30 Apr 2015

arxiv: v2 [math.nt] 30 Apr 2015 A THEOREM FOR DISTINCT ZEROS OF L-FUNCTIONS École Normale Supérieure arxiv:54.6556v [math.nt] 3 Apr 5 943 Cachan November 9, 7 Abtract In thi paper, we etablih a imple criterion for two L-function L and

More information

STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE DELAYS

STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE DELAYS Bulletin of Mathematical Analyi and Application ISSN: 1821-1291, URL: http://bmathaa.org Volume 1 Iue 2(218), Page 19-3. STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE

More information

(f~) (pa) = 0 (p -n/2) as p

(f~) (pa) = 0 (p -n/2) as p 45 OSCILLA~ORY INTEGRALS Michael Cowling and Shaun Diney We are intereted in the behaviour at infinity of the Fourier tranform ~ of the urface meaure ~ living on a mooth compact ~n Rnl, hyperurface S and

More information

FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS

FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS FOURIER SERIES AND PERIODIC SOLUTIONS OF DIFFERENTIAL EQUATIONS Nguyen Thanh Lan Department of Mathematic Wetern Kentucky Univerity Email: lan.nguyen@wku.edu ABSTRACT: We ue Fourier erie to find a neceary

More information

696 Fu Jing-Li et al Vol. 12 form in generalized coordinate Q ffiq dt = 0 ( = 1; ;n): (3) For nonholonomic ytem, ffiq are not independent of

696 Fu Jing-Li et al Vol. 12 form in generalized coordinate Q  ffiq dt = 0 ( = 1; ;n): (3) For nonholonomic ytem, ffiq are not independent of Vol 12 No 7, July 2003 cfl 2003 Chin. Phy. Soc. 1009-1963/2003/12(07)/0695-05 Chinee Phyic and IOP Publihing Ltd Lie ymmetrie and conerved quantitie of controllable nonholonomic dynamical ytem Fu Jing-Li(ΛΠ±)

More information

Automatic Control Systems. Part III: Root Locus Technique

Automatic Control Systems. Part III: Root Locus Technique www.pdhcenter.com PDH Coure E40 www.pdhonline.org Automatic Control Sytem Part III: Root Locu Technique By Shih-Min Hu, Ph.D., P.E. Page of 30 www.pdhcenter.com PDH Coure E40 www.pdhonline.org VI. Root

More information

A CATEGORICAL CONSTRUCTION OF MINIMAL MODEL

A CATEGORICAL CONSTRUCTION OF MINIMAL MODEL A ATEGORIAL ONSTRUTION OF MINIMAL MODEL A. Behera, S. B. houdhury M. Routaray Department of Mathematic National Intitute of Technology ROURKELA - 769008 (India) abehera@nitrkl.ac.in 512ma6009@nitrkl.ac.in

More information

CHARGING OF DUST IN A NEGATIVE ION PLASMA (APS DPP-06 Poster LP )

CHARGING OF DUST IN A NEGATIVE ION PLASMA (APS DPP-06 Poster LP ) 1 CHARGING OF DUST IN A NEGATIVE ION PLASMA (APS DPP-06 Poter LP1.00128) Robert Merlino, Ro Fiher, Su Hyun Kim And Nathan Quarderer Department of Phyic and Atronomy, The Univerity of Iowa Abtract. We invetigate

More information

EE 508 Lecture 16. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject

EE 508 Lecture 16. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject EE 508 Lecture 6 Filter Tranformation Lowpa to Bandpa Lowpa to Highpa Lowpa to Band-reject Review from Lat Time Theorem: If the perimeter variation and contact reitance are neglected, the tandard deviation

More information

Notes on Phase Space Fall 2007, Physics 233B, Hitoshi Murayama

Notes on Phase Space Fall 2007, Physics 233B, Hitoshi Murayama Note on Phae Space Fall 007, Phyic 33B, Hitohi Murayama Two-Body Phae Space The two-body phae i the bai of computing higher body phae pace. We compute it in the ret frame of the two-body ytem, P p + p

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

FILTERING OF NONLINEAR STOCHASTIC FEEDBACK SYSTEMS

FILTERING OF NONLINEAR STOCHASTIC FEEDBACK SYSTEMS FILTERING OF NONLINEAR STOCHASTIC FEEDBACK SYSTEMS F. CARRAVETTA 1, A. GERMANI 1,2, R. LIPTSER 3, AND C. MANES 1,2 Abtract. Thi paper concern the filtering problem for a cla of tochatic nonlinear ytem

More information

Lie series An old concept going back to Sophus Lie, but already used by Newton and made rigorous by Cauchy. Widely exploited, e.g.

Lie series An old concept going back to Sophus Lie, but already used by Newton and made rigorous by Cauchy. Widely exploited, e.g. ÄÁ Ë ÊÁ Ë Æ ÄÁ ÌÊ ÆË ÇÊÅË Lie erie An old concept going back to Sophu Lie, but already ued by Newton and made rigorou by Cauchy Widely exploited, eg, in differential geometry Ued a a method for numerical

More information

Lecture 8: Period Finding: Simon s Problem over Z N

Lecture 8: Period Finding: Simon s Problem over Z N Quantum Computation (CMU 8-859BB, Fall 205) Lecture 8: Period Finding: Simon Problem over Z October 5, 205 Lecturer: John Wright Scribe: icola Rech Problem A mentioned previouly, period finding i a rephraing

More information

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona

STOCHASTIC EVOLUTION EQUATIONS WITH RANDOM GENERATORS. By Jorge A. León 1 and David Nualart 2 CINVESTAV-IPN and Universitat de Barcelona The Annal of Probability 1998, Vol. 6, No. 1, 149 186 STOCASTIC EVOLUTION EQUATIONS WIT RANDOM GENERATORS By Jorge A. León 1 and David Nualart CINVESTAV-IPN and Univeritat de Barcelona We prove the exitence

More information

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions Stochatic Optimization with Inequality Contraint Uing Simultaneou Perturbation and Penalty Function I-Jeng Wang* and Jame C. Spall** The John Hopkin Univerity Applied Phyic Laboratory 11100 John Hopkin

More information

Green-Kubo formulas with symmetrized correlation functions for quantum systems in steady states: the shear viscosity of a fluid in a steady shear flow

Green-Kubo formulas with symmetrized correlation functions for quantum systems in steady states: the shear viscosity of a fluid in a steady shear flow Green-Kubo formula with ymmetrized correlation function for quantum ytem in teady tate: the hear vicoity of a fluid in a teady hear flow Hirohi Matuoa Department of Phyic, Illinoi State Univerity, Normal,

More information

Dipartimento di Matematica

Dipartimento di Matematica Dipartimento di Matematica P. Bonicatto, L. Luardi Analyi of an integral equation ariing from a variational problem Rapporto interno N. 5, luglio 29 Politecnico di Torino Coro Duca degli Abruzzi, 24-29

More information

COLLISIONS AND TRANSPORT

COLLISIONS AND TRANSPORT COLLISIONS AND TRANSPORT Temperature are in ev the correponding value of Boltzmann contant i k = 1.6 1 1 erg/ev mae µ, µ are in unit of the proton ma e α = Z α e i the charge of pecie α. All other unit

More information

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax:

Control Systems Engineering ( Chapter 7. Steady-State Errors ) Prof. Kwang-Chun Ho Tel: Fax: Control Sytem Engineering ( Chapter 7. Steady-State Error Prof. Kwang-Chun Ho kwangho@hanung.ac.kr Tel: 0-760-453 Fax:0-760-4435 Introduction In thi leon, you will learn the following : How to find the

More information

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL 98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i

More information

OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION

OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION ROBERT CHEN 1, ILIE GRIGORESCU 1 AND MIN KANG 2 Abtract. An (m, p) urn contain m ball of value 1 and p ball of value +1. A player tart with fortune k

More information

Transonic Canards and Stellar Wind

Transonic Canards and Stellar Wind Tranonic Canard and Stellar Wind Paul Carter Edgar Knobloch Martin Wechelberger January 6, 017 Abtract Parker claical tellar wind olution [0] decribing teady pherically ymmetric outflow from the urface

More information

A novel protocol for linearization of the Poisson-Boltzmann equation

A novel protocol for linearization of the Poisson-Boltzmann equation Ann. Univ. Sofia, Fac. Chem. Pharm. 16 (14) 59-64 [arxiv 141.118] A novel protocol for linearization of the Poion-Boltzmann equation Roumen Tekov Department of Phyical Chemitry, Univerity of Sofia, 1164

More information

Physics 2212 G Quiz #2 Solutions Spring 2018

Physics 2212 G Quiz #2 Solutions Spring 2018 Phyic 2212 G Quiz #2 Solution Spring 2018 I. (16 point) A hollow inulating phere ha uniform volume charge denity ρ, inner radiu R, and outer radiu 3R. Find the magnitude of the electric field at a ditance

More information

Lecture 13. Thermodynamic Potentials (Ch. 5)

Lecture 13. Thermodynamic Potentials (Ch. 5) Lecture 13. hermodynamic Potential (Ch. 5) So far we have been uing the total internal energy U and ometime the enthalpy H to characterize variou macrocopic ytem. hee function are called the thermodynamic

More information

Study of a Freely Falling Ellipse with a Variety of Aspect Ratios and Initial Angles

Study of a Freely Falling Ellipse with a Variety of Aspect Ratios and Initial Angles Study of a Freely Falling Ellipe with a Variety of Apect Ratio and Initial Angle Dedy Zulhidayat Noor*, Ming-Jyh Chern*, Tzyy-Leng Horng** *Department of Mechanical Engineering, National Taiwan Univerity

More information

Lecture 4 Topic 3: General linear models (GLMs), the fundamentals of the analysis of variance (ANOVA), and completely randomized designs (CRDs)

Lecture 4 Topic 3: General linear models (GLMs), the fundamentals of the analysis of variance (ANOVA), and completely randomized designs (CRDs) Lecture 4 Topic 3: General linear model (GLM), the fundamental of the analyi of variance (ANOVA), and completely randomized deign (CRD) The general linear model One population: An obervation i explained

More information

Lecture 15 - Current. A Puzzle... Advanced Section: Image Charge for Spheres. Image Charge for a Grounded Spherical Shell

Lecture 15 - Current. A Puzzle... Advanced Section: Image Charge for Spheres. Image Charge for a Grounded Spherical Shell Lecture 15 - Current Puzzle... Suppoe an infinite grounded conducting plane lie at z = 0. charge q i located at a height h above the conducting plane. Show in three different way that the potential below

More information

Introduction to Laplace Transform Techniques in Circuit Analysis

Introduction to Laplace Transform Techniques in Circuit Analysis Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found

More information

Social Studies 201 Notes for November 14, 2003

Social Studies 201 Notes for November 14, 2003 1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall

More information

On the Unit Groups of a Class of Total Quotient Rings of Characteristic p k with k 3

On the Unit Groups of a Class of Total Quotient Rings of Characteristic p k with k 3 International Journal of Algebra, Vol, 207, no 3, 27-35 HIKARI Ltd, wwwm-hikaricom http://doiorg/02988/ija2076750 On the Unit Group of a Cla of Total Quotient Ring of Characteritic p k with k 3 Wanambii

More information

Midterm Test Nov 10, 2010 Student Number:

Midterm Test Nov 10, 2010 Student Number: Mathematic 265 Section: 03 Verion A Full Name: Midterm Tet Nov 0, 200 Student Number: Intruction: There are 6 page in thi tet (including thi cover page).. Caution: There may (or may not) be more than one

More information

Linear Motion, Speed & Velocity

Linear Motion, Speed & Velocity Add Important Linear Motion, Speed & Velocity Page: 136 Linear Motion, Speed & Velocity NGSS Standard: N/A MA Curriculum Framework (006): 1.1, 1. AP Phyic 1 Learning Objective: 3.A.1.1, 3.A.1.3 Knowledge/Undertanding

More information

Mechanics. Free rotational oscillations. LD Physics Leaflets P Measuring with a hand-held stop-clock. Oscillations Torsion pendulum

Mechanics. Free rotational oscillations. LD Physics Leaflets P Measuring with a hand-held stop-clock. Oscillations Torsion pendulum Mechanic Ocillation Torion pendulum LD Phyic Leaflet P.5.. Free rotational ocillation Meauring with a hand-held top-clock Object of the experiment g Meauring the amplitude of rotational ocillation a function

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar DECOUPLING CONTROL M. Fikar Department of Proce Control, Faculty of Chemical and Food Technology, Slovak Univerity of Technology in Bratilava, Radlinkého 9, SK-812 37 Bratilava, Slovakia Keyword: Decoupling:

More information

Observing Condensations in Atomic Fermi Gases

Observing Condensations in Atomic Fermi Gases Oberving Condenation in Atomic Fermi Gae (Term Eay for 498ESM, Spring 2004) Ruqing Xu Department of Phyic, UIUC (May 6, 2004) Abtract Oberving condenation in a ga of fermion ha been another intereting

More information

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014 Phyic 7 Graduate Quantum Mechanic Solution to inal Eam all 0 Each quetion i worth 5 point with point for each part marked eparately Some poibly ueful formula appear at the end of the tet In four dimenion

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR CAPUTO-HADAMARD SEQUENTIAL FRACTIONAL ORDER NEUTRAL FUNCTIONAL DIFFERENTIAL EQUATIONS

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR CAPUTO-HADAMARD SEQUENTIAL FRACTIONAL ORDER NEUTRAL FUNCTIONAL DIFFERENTIAL EQUATIONS Electronic Journal of Differential Equation, Vol. 207 207), No. 36, pp.. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR CAPUTO-HADAMARD

More information

Frames of Reference and Relative Velocity

Frames of Reference and Relative Velocity 1.5 frame of reference coordinate ytem relative to which motion i oberved Frame of Reference and Relative Velocity Air how provide element of both excitement and danger. When high-peed airplane fly in

More information

Solutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam

Solutions. Digital Control Systems ( ) 120 minutes examination time + 15 minutes reading time at the beginning of the exam BSc - Sample Examination Digital Control Sytem (5-588-) Prof. L. Guzzella Solution Exam Duration: Number of Quetion: Rating: Permitted aid: minute examination time + 5 minute reading time at the beginning

More information

Non-stationary phase of the MALA algorithm

Non-stationary phase of the MALA algorithm Stoch PDE: Anal Comp 018) 6:446 499 http://doi.org/10.1007/4007-018-0113-1 on-tationary phae of the MALA algorithm Juan Kuntz 1 Michela Ottobre Andrew M. Stuart 3 Received: 3 Augut 017 / Publihed online:

More information

ONLINE APPENDIX: TESTABLE IMPLICATIONS OF TRANSLATION INVARIANCE AND HOMOTHETICITY: VARIATIONAL, MAXMIN, CARA AND CRRA PREFERENCES

ONLINE APPENDIX: TESTABLE IMPLICATIONS OF TRANSLATION INVARIANCE AND HOMOTHETICITY: VARIATIONAL, MAXMIN, CARA AND CRRA PREFERENCES ONLINE APPENDIX: TESTABLE IMPLICATIONS OF TRANSLATION INVARIANCE AND HOMOTHETICITY: VARIATIONAL, MAXMIN, CARA AND CRRA PREFERENCES CHRISTOPHER P. CHAMBERS, FEDERICO ECHENIQUE, AND KOTA SAITO In thi online

More information

On the regularity to the solutions of the Navier Stokes equations via one velocity component

On the regularity to the solutions of the Navier Stokes equations via one velocity component On the regularity to the olution of the Navier Stoke equation via one velocity component Milan Pokorný and Yong Zhou. Mathematical Intitute of Charle Univerity, Sokolovká 83, 86 75 Praha 8, Czech Republic

More information

On the Normal-Mode Frequency Spectrum of Kinetic Magnetohydrodynamics. J.J. Ramos. December, 2014

On the Normal-Mode Frequency Spectrum of Kinetic Magnetohydrodynamics. J.J. Ramos. December, 2014 PSFC/JA-14-33 On the Normal-Mode Frequency Spectrum of Kinetic Magnetohydrodynamic J.J. Ramo December, 14 Plama Science and Fuion Center Maachuett Intitute of Technology Cambridge MA 139, U.S.A. Thi work

More information

Lecture 10: Forward and Backward equations for SDEs

Lecture 10: Forward and Backward equations for SDEs Miranda Holme-Cerfon Applied Stochatic Analyi, Spring 205 Lecture 0: Forward and Backward equation for SDE Reading Recommended: Pavlioti [204] 2.2-2.6, 3.4, 4.-4.2 Gardiner [2009] 5.-5.3 Other ection are

More information