QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS

Size: px
Start display at page:

Download "QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS"

Transcription

1 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS SPUR FINAL PAPER, SUMMER 08 CALVIN HSU MENTOR: RUOXUAN YANG PROJECT SUGGESTED BY: ANDREW LAWRIE Augus, 08 Absrac. In his paper, we discuss he decay rae for he soluion o semilinear energy-criical wave equaion ha behaves like he free wave. I is known ha free waves in R n have a decay rae of (+) n. Using he Klainerman- Sobolev inequaliy and Sricharz esimaes, we are able o prove non-linear waves ha scaer in R 3 have a decay rae of. Moreover, we generalize he resuls o R n o obain a ( + ) n decay rae, and also discuss some resuls ha migh be helpful o improve our bound.. Inroducion We sudy he decay rae for soluions o he energy-criical semi-linear wave equaion: u := u + u = ±u 5 u[0] = (u(0, ), u(0, )) = (f, g) C c (R 3 ) C c (R 3 ) in R 3 under he scaering assumpion, which means ha here eiss a free wave u L ha solves u L = 0 wih a possibly differen iniial condiion han f and g, and as. Remark. The equaion u[] u L [] H L 0 u = u 5 is ofen called he defocusing equaion, and he equaion is ofen called he focusing equaion. u = u 5 The moivaion behind his problem is ha any free wave u L ha has smooh and compacly suppored iniial daa in R 3 has a L -norm decay rae of. For semi-linear waves ha scaer (i.e. he difference beween he semi-linear wave and he free wave ends o 0), i is emping o hink ha hey behave very similarly as goes o infiniy. Hence, we conjecured u should also have a decay rae of, and he propose of his paper is o give a bound for hese semi-linear waves. The

2 CALVIN HSU mehod we used is similar o he one used in he free wave equaion, and we can prove a / decay rae for semi-linear wave equaions. Noe ha in his paper, we will need our soluion u o eis for all ime. In he defocusing equaion, his follows from he global well-posedness described in Corollary 5. in []. However, in he focusing case, no all soluion u eis for all ime. (i.e. some u blows up in finie ime). The assumpion of small energy on he iniial daa is required in he focusing equaion for u o eis in all ime. In his paper, we will only be discussing soluions ha eis for all ime and doesn blow up in finie ime. Remark. The inuiion behind focusing equaions can blow up in finie ime while defocusing equaions don is due o he plus and minus sign inside he energy funcion. Namely, in he defocusing case, we have he energy funcion E(u) = R u + u + 6 u 6 d 3 being consan. Hence u, u, and u are all conrolled by a consan ha depends on he iniial daa. However, in he focusing case, we have he energy funcion E(u) = R u + u 6 u 6 d 3 being consan. Since here is a minus sign in fron of u 6, we can no bound any erms like we did before and herefore can no preven u from blowing up. Theorem.3 (Decay rae for u(, ) L ) Le u(, ) be a soluion o he following equaion: u = ±u 5, u[0] = (f, g) C0 (R 3 ) C0 (R 3 ) Assume ha here eiss a free wave u L wih a possibly differen iniial condiion hen f and g, and u[] u L [] Ḣ L 0 as goes o infiniy. Then u(, ) L C + for a consan C ha only depends on u and doesn depend on. We will be using he Klainerman-Sobolev inequaliy, Sricharz esimaes, and oher echniques o esablish his bound. Moreover, our resuls can also be easily generalized ino R n for any n 3. Finally, we will also provide some progress ha we made owards o he decay rae.. Preliminaries, Definiions, Klainerman-Sobolev inequaliy, and Sricharz esimaes Throughou his paper, he defaul space we will be working wih will always be R 3. If we don specify, hen all he norms will also be inegraing over R 3. To simplify hings, we will be using he noaion u[] as u[] = (u(, ), u(, )) o shoren some of our equaions, and he operaor here will denoe n = i. i=

3 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 3 We will be using X Y o denoe ha X CY for some absolue consan C. The consan C can vary from line o line. We will sar by recalling he homogeneous and normal Sobolev spaces, which are spaces ha we will be using when sudying wave equaions: Definiion. (Sobolev space) The Sobolev space, denoed as H s, consiss of all funcions f such ha f H s <, wih norm f H s = R n ˆf(ξ) ( + ξ ) s dξ. Definiion. (Homogeneous Sobolev space) The homogeneous Sobolev space, denoed as H s, is very similar o he normal Sobolev spaces. However, he (+ ξ ) erm here will be replaced by jus ξ insead. Namely, H s consiss of all funcions f such ha f H <, s wih norm f H s = R n ˆf(ξ) ξ s dξ. Now we recall he free wave and he energy criical wave equaions: Definiion.3 (Free wave) A free wave u L is a funcion ha saisfies he wave equaion u = 0, u[0] = (f, g) C c (R 3 ) C c (R 3 ) for some iniial daa (f, g). Definiion.4 (Energy criical wave equaion) The energy criical wave equaion in R n has he following form: u = ±u n+ n () for all n 3. Remark.5 These wave equaions are called energy criical since hey saisfy he scaling invarian propery, which means ha whenever u(, ) is a soluion o (), hen u λ = u( λ, λ ) λ n will be a soluion as well. Moreover, we also have u λ Ḣ L = u Ḣ L as well, which means ha he energy of u is consan no maer wha λ is. Remark.6 Since we will be mainly working in R 3 here, he energy criical wave equaion will hen be u = ±u 5. Definiion.7 (Scaering condiion) We say an energy criical wave u scaers if here eiss a free wave u L wih possibly differen iniial condiions ha saisfy as goes o infiniy. u[] u L [] H L 0

4 4 CALVIN HSU Remark.8 Noice ha he equaion we are focusing on is u = ±u 5. However, he plus or minus sign doesn maer much in our heorems and proofs since we will always be aking absolue values around u 5. Hence from now on, we will only discuss he equaion u = u 5 unless oherwise saed. Throughou his paper, u will solve he above equaion unless oherwise saed. We will sar off wih a fundamenal propery for general wave equaions, which is he finie speed of propagaion [7]. Finie speed of propagaion is an imporan propery ha allows us o conrol a lo of norms since we will only have o inegrae over a finie volume when he iniial daa has compac suppor. Theorem.9 (Finie Speed of Propagaion) Le u be a soluion o he equaion u = F (u), u[0] = (f, g) C c C c, wih F being smooh and F (0) = 0. Moreover, if f, g are suppored in a ball of radius R cenered a he origin, hen u(, ) = 0 when > + R. Corollary.0 Le u be a soluion for u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose ha f, g are suppored in a ball of radius R cenered a he origin, hen we always have u(, ) = 0 when > + R. Proof. Since F (u) = ±u 5 saisfies F (0) = 0, Theorem.9 proves his immediaely. Therefore from now on, we will only need o consider when R +, since we will always have u(, ) = 0 oherwise. Now we inroduce one of an essenial heorem ha will help us obain a bound for u(, ), which is he Klainerman-Sobolev inequaliy [3]. However, we will need o define some vecor fields before we can sae he Klainerman-Sobolev inequaliy. Definiion. (Invarian vecor fields) Le Γ = {, i, Ω ij := i j j i, S := + n i i, Ω 0i := i + i } be a se of vecor fields. These are he generaors of he linear ransformaions ha commues wih in he equaion u = 0. Moreover, all he vecor fields in Γ acually commues direcly wih, wih he ecepion of S. To be clear, we have i= (Su) = S(u) + u, and so S commues wih in he free wave equaion. Remark. Noice ha in R 3, here are 5 ypes of differen invarian vecor fields up o symmery, and a oal of 4 of hem. Now we are ready o sae he Klainerman-Sobolev inequaliy.

5 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 5 Theorem.3 (Klainerman-Sobolev inequaliy) For any ineger n, le u(, ) C (R n ) vanish when is large for all. Then here eiss a C n > 0 such ha ( + + ) n ( + ) u(, ) Cn Γ α u(, ) L (R n ) α n + holds for all 0. Noice ha his heorem gives us bounds for any smooh funcion u wih compac suppor in space in erms of and, while sacrificing he summaion of invarian vecor fields applying o u. Our goal is o bound all he invarian vecor fields erms o ge a bound for boh u and u, and his will be done in Secion 3. Lasly, we will inroduce anoher essenial ool ha will help us obain bounds for u, which is called he Sricharz esimaes [5]. The Sricharz esimaes gives us an inequaliy ha can be used in a lo of non-linear wave equaions, and we will use i o bound he vecor field erms coming from he Klainerman-Sobolev inequaliy (Theorem.3). Firs, we will have o define wha does a pair of eponens means o be wave admissible. Definiion.4 (Wave admissible) In he R n space, a pair of number (p, q) is called wave admissible if () p, q () p + n q n (3) (p, q, n) (,, 3) all holds. Remark.5 The Hölder conjugae of a is denoed as a, which is defined as a + a =. Now we can sae he Sricharz esimaes. Theorem.6 (Sricharz esimae) Suppose ha () n () (p, q) and (a, b) are boh wave admissible (3) q, b (4) p + n q = n γ = a + n b all holds. Moreover, if u solves he equaion u = F, u[0] = (f, g), hen for ime 0 < T < he following inequaliy holds for some consan C: u L p ([0,T ];Lq (R n )) + u(t, ) Ḣγ (R n ) + u(t, ) Ḣγ (R n ) C( u[0] Ḣγ (R n ) Ḣγ (R n ) + F L a Corollary.7 In R 3, suppose ha () (p, q) and (a, b) are boh wave admissible () q, b (3) p + 3 q = = a + 3 b, ([0,T ];Lb (Rn )) ).

6 6 CALVIN HSU all holds. Moreover, if u solves he equaion hen for ime 0 < T < we have: u = F, u[0] = (f, g), u L p ([0,T ];Lq ) + u(t, ) L + u(t, ) L for some consan C. C( u[0] Ḣ L + F L a ([0,T ];Lb Proof. Plug in γ = and n = 3 in Theorem.6 and we are done. )) Remark.8 Noe ha he gradien operaor in his paper will always be space gradien (i.e. wihou he ime derivaive) unless oherwise saed. Hence is L norm will be comparable o he sum of he L norms of all derivaives in. Therefore we can freely change beween u L and 3 i u L. i= Now ha we have all he ools, we are ready o prove our main resuls in he ne secion. 3. Quaniaive decay for energy criical wave equaions Before proving he decay rae for energy criical wave equaions, we will firs prove he decay rae for free wave equaions. Since he main ideas for proving he energy criical case follows from he free wave case, i will be helpful o undersand how o prove he decay rae for free waves. Theorem 3. (Decay Rae for free wave equaions) Le n be an odd ineger, and u be a soluion o he following equaion: Then he following inequaliy holds: u = 0, u[0] = (f, g) C c (R n ) C c (R n ). u(, ) L. n Remark 3. The sraegy here is o use he Klainerman-Sobolev inequaliy o firs prove a bound for u(, ) L, and hen use he fundamenal heorem of calculus o ge a bound for u(, ) L. The reason ha we don use Klainerman-Sobolev inequaliy direcly on u is ha he erm u(, ) L is no conrollable. We will also follow his idea when i comes o he energy criical wave equaion.

7 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 7 Proof. To simplify noaions, in his proof will denoe boh space and ime derivaive. Apply he Klainerman-Sobolev inequaliy o u(, ), and we obain ha u(, ) C n Now since Γ commues wih, we have α n+ Γ α u(, ) L ( + + ) n ( + ) Γ α u = 0.. () Combine ha wih commuing wo Γ will only resul in a linear combinaion of more Γ and i Γ, we know from () ha u(, ) = C n α n+ Γ α u(, ) L ( + + ) n ( + ) C n α n+ The las equaliy is he energy equaliy. Noice ha since we assume f, g C c for any Γ. Therefore α n+ Γ α u(0, ) L ( + + ) n ( + ) Γ α f, Γ α g C c Hence from equaion (3) and (4), we have u(, ), we also have. (3) Γ α u(0, ) L <. (4) C n ( + + ) n ( + ) for some consan C n. Since n is odd, by Chaper, Theorem. in [5] we know ha u(, ) = 0 if > R, where f, g are suppored in a ball cenered a he origin wih radius R (his is he srong Huygens principle). Therefore for any pair of (, ), here eiss a y such ha u(, y) = 0 and y R. Now by he fundamenal heorem of calculus, we now ha as desired. u(, ) u(, y) + R ( + ) n C n ( + ) n

8 8 CALVIN HSU Now we will sar proving he decay rae for energy criical waves. However, before proving ha all he vecor field bounds are finie, we need he following wo lemmas: Lemma 3.3 (Trapping Lemma) Suppose ha here eiss a family of coninuous funcions K ϵ : R + 0 R ha saisfy boh () K ϵ (0) = 0 () K ϵ () C + ϵk ϵ () m for some fied m >, C > 0. for all ϵ > 0, hen holds for some ϵ > 0. K ϵ ( ) L (R + 0 ) < Remark 3.4 This lemma will be used laer in he scaering lemma (lemma 3.5) o show ha once a funcion is small enough a ime = 0, hen i will always be bounded. Proof. If C >, choose ϵ = (C) m. Then sup{ ϵ m 0} C (C)m = C > C. (C) m If C, hen choose ϵ = 4 m and we know ha Hence by coninuiy sup{ ϵ m 0} 4 = 3 > C. K ϵ () [0, Q m ], where Q m is he smalles posiive roo for he equaion ϵ m = C. Therefore we can conclude ha K ϵ ( ) L (R + 0 ) < holds for some ϵ > 0 as desired. Noice ha one of our assumpion o he energy criical wave is ha u scaers, which means ha u[] u L [] Ḣ L 0. This assumpion isn necessarily easy o use, bu we can ge an equivalen saemen ha conrols some norms of u. Lemma 3.5 (Scaering lemma) () If holds for some (a, b) such ha u L a L < b a + 3 b = and a, b, hen here eiss a linear wave u L such ha as goes o infiniy. u[] u L [] Ḣ L 0

9 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 9 () If here eiss a linear wave u L such ha as goes o infiniy, hen holds for all (a, b) such ha a + 3 b = u[] u L [] Ḣ L 0 u L a L < b and a, b. Proof. () follows from Theorem 6. in [], so we will only be proving () here. Firs le p = 5 4, q = 30 7, hen by he Sricharz esimaes and Hölder s inequaliy we know ha u L 5 L 0 C( f Ḣ + g L + u 5 L p ) Lq = C(K + (u u L + u L ) 5 L p ) Lq C(K + (u u L ) 5 L p + Lq u5 L L p ) Lq C(K + (u u L ) L L 6 (u u L) 4 L + u 5 L 5 L0 L p ). Lq Now again by Sricharz esimaes we know ha u 5 L L p Lq = u L 5 L 5p L5q is bounded by iniial daa and herefore finie. The Sobolev inequaliy [3] also ells us ha u u L L L 6 u u L L Ḣ. Noice ha for any ϵ > 0, we can choose a T big enough such ha u u L L ([T, );Ḣ ) ϵ since he Ḣ norm goes o 0 as goes o infiniy. Combining hese wo inequaliies while seing T as he new iniial saring ime and we have u L 5 L 0 C(K + ϵ (u u L) 4 L ) 5 L0 C(K + ϵ u 4 L ). 5 L0 By he rapping lemma (lemma 3.3) we know ha here eiss an ϵ > 0 such ha u L 5 ([T, );L 0 ) is finie. (Here T depends on ϵ). Moreover, by he finie speed of propagaion, we know ha u(, ) L 0 is jus inegraing u over a finie space, and u L 5 ([0,T );L 0 ) is jus inegraing u(, ) L 0 over a finie inerval, so i mus be finie. Hence is finie. u L 5 L 0 = u L 5 ([0,T );L0 ) + u L 5 ([T, );L 0 )

10 0 CALVIN HSU Now ha we have u L 5 L is finie, we can again use he Sricharz esimaes 0 o show ha for all (a, b) such ha we have as desired. u L a L b a + 3 b = and a, b, C( f Ḣ + g L + u 5 L ) < 5 L0 Wih his lemma, we can use he scaering assumpion o conrol some of he norms for u and use hem in he Sricharz esimaes once again. However, his ime we will be puing hem on he righ-hand side of he inequaliy and ry o bound he lef-hand side, which consiss of he invarian vecor fields applied o u. Lemma 3.6 (Bounds for Γ α u(, ) L ) Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha u[] u L [] Ḣ L 0 as, hen Γ α u(, ) L is bounded by a consan for every α 0 ha is independen of. Proof. Le s firs prove he case α = 0, which means ha we will have o bound by a consan. Since u(, ) L u = u 5, his is jus a sraighforward applicaion of he Sricharz esimaes (Corollary.7): u(t, ) L C( u[0] Ḣ L + u 5 L ([0,T ];L ) ) = C( u[0] Ḣ L + u 5 L 5 ([0,T )) ];L0 C( u[0] Ḣ L + u 5 L 5 )). ([0, );L0 The las epression above is a consan independen of T since u L 5 ([0, );L 0 ) is bounded by Lemma 3.5. Now for α, he idea is ha we apply Γ α on boh sides of he original equaion u = u 5, which will give us Γ α u = Γ α u 5. Noice ha all Γ ecep for S commues wih. Moreover, even when Γ = S we have S(u) = (Su) u = (Su) u 5. When here are wo S we have S (u) = S((Su) u 5 ) = (S u) (Su) Su 5,

11 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS and so on. Combine ha wih all he Γ being linear; we know ha afer applying Γ α o he original equaion, i will have he form of Where P is homogeneous, (Γ α u) = P (Γ α u, Γ α u,..., Γu, u). (5) P Z[Γ α u, Γ α u,..., Γu, u], deg(p ) = 5, and Γ α m u means here are m less Γ applied o he equaion. Moreover, he erm u 4 Γ α u will always have a nonzero coefficien in P. By he Sricharz esimaes applying on (5) we know ha Now by Lemma 3.5 we know ha Γ α u L 5 ([0,T ];L 0 ) + Γ α (T, )u L C( Γ α u[0] Ḣ L + P L ([0,T ];L ) ). u L 5 ([0, );L 0 ) <. Therefore for any ϵ > 0, we can find a series of number 0 = T < T < T 3 < < T M = such ha u L 5 ([T i,t i+ ];L 0 ) < ϵ for all i M. Noice ha we can make any T i T M be he iniial ime, hen from he above inequaliy we know ha for all T [T i, T i+ ], he following inequaliy holds: Γ α u L 5 ([T i,t ];L 0 ) + Γ α (T, )u L C( Γ α u[t i ] Ḣ L + P L ([T i,t ];L ) ). By Hölder s inequaliy and here is a erm in P ha consiss of boh Γ α u and u, we can coninue he above inequaliy: C( Γ α u[t i ] Ḣ L + Γ α u L 5 ([T i,t ];L 0 ) u L 5 ([T i,t ];L 0 ) P 5/3 L ([T i,t ];L 0/3 ) + P L ([T i,t ];L ) ). Here P, P Z[Γ α u,..., Γu, u], deg(p ) = 3, deg(p ) = 5. Choose ϵ small enough such ha he consan for (6) Γ α u L 5 ([T i,t ];L 0 ) is less han for all i in he righ hand side of (6), hen we have Γα u L 5 ([T i,t ];L 0 ) + Γ α (T, )u L C( Γ α u[t i ] Ḣ L + P L ([T i,t ];L ) ). By he finie speed of propagaion we know ha he righ hand side of he above equaion is always finie. Le Q = ma{c( Γ α u[t i ] Ḣ L + P L ([T i,t ];L ) )} i M } <, hen we have Γ α (T, )u L Q for some consan Q independen of T as desired.

12 CALVIN HSU The above lemma is very close o wha we waned, he only hing ha is missing is ha we successfully bounded Γ α u(, ) L, bu wha we have in he Klainerman Sobolev inequaliy is Γ α u(, ) L. To fi his, we will need one more lemma: Lemma 3.7 (Bounds for Γ α u(, ) L ) Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha u[] u L [] Ḣ L 0 as, hen Γ α u(, ) L is bounded by a consan for every α 0 ha is independen of. Proof. By Lemma 3.6 we know ha Γ α u(, ) L is bounded by a consan for every α 0 ha is independen of. Now we know from remark.8 ha we can change ino he sums of i. Moreover, commuing i and Γ will resul in a linear summaion of muliple j erms ( j 3). Hence every Γ α u(, ) L can be wrien as a linear combinaion of which means hey are also bounded. Γ α u(, ) L, Wih he above lemmas, we can now easily prove he decay rae for u by applying he Klainerman-Sobolev inequaliy o u. However, he Klainerman- Sobolev inequaliy requires he funcion being applied on he be smooh in space and has compac space suppor for all > 0, and we will need o show ha u does have hese characerisics. The compac space suppor par is a direc corollary of he finie speed of propagaion, and we will show ha u is smooh here. Proposiion 3.8 (Persisence of regulariy) Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha as, hen u[] u L [] Ḣ L 0 u(, ) C (R 3 )

13 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 3 Proof. By Sobolev embedding, we only need o prove ha u(, ) H s for all s. Now o prove u is in H s, we will need o show ha α u(, ) L is finie for all 0 α s. (There is one era since our original funcion already has ). Moreover, noice ha can be pariioned ino 3 differen i, and all of hem are one of he invarian vecor fields described in Definiion.. Hence by Lemma 3.6, we know ha α u(, ) L Γ α u(, ) L is finie for all α 0 Now we are all se o show he decay rae for u: Theorem 3.9 Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha as, hen u(, ) u[] u L [] Ḣ L 0 ( + + )( + ) Proof. Apply he Klainerman-Sobolev inequaliy o u(, ), and we obain ha Γ α u(, ) L Now by Lemma 3.7 we know ha C 3 α u(, ) ( + + )( +. ) α Γ α u(, ) L is bounded by a consan independen of. Hence we have C u(, ) ( + + )( +, ) where C is a consan only depending on u. Corollary 3.0 Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha as, hen u[] u L [] Ḣ L 0 u(, ) L +..

14 4 CALVIN HSU Proof. This is a sraighforward applicaion of Theorem 3.9. Since u(, ) ( + + )( + ) we know ha for any fied he following holds: u(, ) +., Now we are finally ready o prove Theorem.3, which is u(, ) L / : decays like Proof. By he fundamenal heorem of calculus, we know ha u(, ) u(, u(, (R + )) + (R + )) + R+ R+ 0 u(, y) dy u(, y) dy. Combine his wih finie speed of propagaion (Theorem.9) and he bounds for u (Theorem 3.9), we obain Now u(, ) 0 R+ 0 0 dy ( + + y) + y dy = 0 ( + + y) + y + ( dy ( + + y) + y R+ ) + R +. dy ( + + y) + y dy ( + + y) + y = ln( + (+) + ) ln(3 ). ( + ) Since ln(3 ) is a consan, we will only need o ry o bound ln(+ (+) + ). Noice ha 3 + ( + ) + holds for all 0, which means ha Therefore we can conclude ha as desired. ln(3 ) ln( + ( + ) ) 0. + u(, ) ln(3 ) + +

15 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 5 4. Discussion In his secion, we will show some resuls we have ha could lead us o prove he + decay rae. From Theorem 3.9 we have a bound for u ha is approimaely (+) when.5 is away from. By he fundamenal heorem of calculus i is sraighforward o guess ha he bound for u using u will be +. However, if we resric ino some smaller area, hen we will be able o obain a beer bound han +. Proposiion 4. Le u(, ) be a soluion o he following equaion: u = ±u 5, u[0] = (f, g) C 0 (R 3 ) C 0 (R 3 ) Assume ha here eiss a free wave u L wih a possibly differen iniial condiion hen f and g, and u[] u L [] Ḣ L 0 as goes o infiniy. Then for any β <, here eiss an ϵ = β.5 C u(, ) L ( β ) ( + ) 0.5+ϵ holds for a consan C ha only depends on u. Proof. From Theorem 3.9 we know ha u(, ) ( + + )( +. ) The finie speed of propagaion ells us ha we only need o consider R +. Hence by he fundamenal heorem of calculus, we know ha when β R +, he following inequaliy holds Now choose We know ha u(, ) u(, (R + )) + β u(, y) dy + a = 0.5 ϵ, a i+ = a i R+ R ϵ. u(, y) dy u(, y) dy. lim a n = ϵ > β, n since ϵ = β.5. Hence we have N a i u(, ) u(, y) dy + u(, y) dy + a i= a i+ R+ > 0 such ha u(, y) dy for some N large enough such ha a N > β. Now each erm from he above inequaliy can be bounded as follow: a u(, y) dy a ( + ) ( + ) 0.5+ϵ

16 6 CALVIN HSU a i a i+ u(, y) dy a i+ ( + ) + ai a i+ ( + )( + ) a i ( + ) 0.5+ϵ R+ u(, y) dy R + +. Since N is finie, we can sum up he hree inequaliies above and proved ha u(, ) for some ϵ > 0 when β. Therefore holds. u(, ) L ( β ) ( + ) 0.5+ϵ C ( + ) 0.5+ϵ Remark 4. The above proposiion ells us ha he decay rae for energy criical waves is beer han + when is near. However, he volume where β is sill grows like 3 no maer how close β is o. Theorem.3 gives us he + bound, which is no quie he + we epeced. The above proposiion gave us a slighly beer (+) bound for cerain areas. 0.5+ϵ Now we show ha he ϵ we improved can acually be very beneficial for us o improve he bound owards +. Namely, he global (+) decay will give us 0.5+ϵ he global + decay immediaely: Proposiion 4.3 Le u(, ) be a soluion o he following equaion: u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Assume ha here eiss a linear wave u L () such ha as goes o infiniy, and for some ϵ > 0, hen u() u L () Ḣ L 0 u(, ) L ( + ) +ϵ u(, ) L +. Remark 4.4 Assume ha we already have he bound improved o (+) +ϵ, hen we can use his resul o improve he bound o +. This implies ha if he decay rae for u(, ) L is a polynomial in, hen i can only be + or +. Proof. Suppose ha we already have u(, ) L ( + ) +ϵ

17 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 7 holds for a fied ϵ > 0, hen by he Duhamel s formula [] we know ha u(, ) u L (, ) iπ sin(( s) ξ ) e û R ξ 5 (s, ξ)dξ ds 3 = u 5 (s, )ds( )ds. 4π(s ) = = s The equaliy above comes from equaion (7) from [6]. Now from our assumpion for he decay rae of u, we know ha u 5 (s, )ds( )ds. 4π(s ) Hence 4π(s ) 4π(s ) = s ds = ( + s).5+5ϵ u(, ) u L (, ) (s ) ( + s).5+5ϵ ds ( + s) 0.5+5ϵ. ( + ) 0.5+5ϵ. We already know from Theorem 3. ha he free wave u L decays like +, which implies ha u(, ) L has a decay rae of (+). Do he above progress for 0.5+5ϵ K imes and we will be able o prove ha u(, ) L if we ake K large enough. ( + ) min{0.5+5k ϵ,} = + The above argumen gave us he + bound bu required some addiional assumpions. On he oher hand, we can also prove he desired + decay rae wihou any addiional condiions inside any compac space using Hardy s inequaliy [4]. Theorem 4.5 (Hardy s inequaliy) Le f be a smooh funcion wih compac suppor, hen he following inequaliy holds: f() p n p f L p (R n ). Lp (R n ) Theorem 4.6 (Decay rae wihin compac suppor) Le u(, ) be a soluion o he following equaion: u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Assume ha here eiss a linear wave u L wih possibly differen iniial condiions hen f and g, and u() u L () Ḣ L 0 as goes o infiniy. Le K be any compac space, hen u(, ) L (K) +. Proof. Since K is a compac se, we know ha here eiss a real number R such ha K B(0, R).

18 8 CALVIN HSU Le χ R be a funcion ha is consan in and smooh in. Moreover, χ R is inside B(0, R), 0 ouside of B(0, R + ), and is decreasing in beween hem. Then by Theorem 4.5, we know ha R + χ Ru(, ) L Hence we know ha χ R u(, ) L n (χ Ru(, )) L. χ R u(, ) L (χ R u(, )) L. Now since χ R u is a smooh funcion, is derivaive is bounded be a consan. Combine ha wih Theorem.3 and Theorem 3.9 we know ha (χ R u(, )) L = (χ R u(, )) L (B(0,R+)) u(, ) L (B(0,R+)) + ( χ R )u(, ) L (B(0,R+)) ( + ).5 + u(, ) L (B(0,R+)) ( + ) Noe ha we have u(, ) ( + ).5 since we are only considering a compac se, and herefore is far away from when is big enough. Therefore we proved ha χ R u(, ) L (R n ) +. (7) For he oher invarian vecor field erms, we know ha Γ α χ R u(, ) L will be bounded like he one above since is finie, ecep when Γ consiss of he weigh. Noice ha he weigh always pairs up wih or i in Γ. Now when we apply on χ R, i will simply vanish since χ R is consan in. Moreover, when is applied o u, i won change he order of u since we will gain from and back righ afer. For i, when we apply i on χ R, we will gain a ; when we applied o u, i won change he order of u since we will again gain from i and back righ afer. Therefore he wors possible erm is Γ α χ R u(, ) L, where α = and boh Γ consiss of i. Le i = Ω, hen Ω χ R u(, ) L Ωu(, ) L + Ωχ R u(, ) L u(, ) L + u(, ) L + u(, ) L (8)

19 QUANTITATIVE DECAY FOR NONLINEAR WAVE EQUATIONS 9 Since χ R u(, ) is smooh in space and has compac space suppor, we can use he Klainerman-Sobolev inequaliy on χ R u(, ) and obain ha Γ α χ R u(, ) L α χ R u(, ) ( + + ) +. (9) Now by R +, (7), (8), and (9) we know ha Γ α χ R u(, ) L χ R u(, ) α ( + ).5 +. Finally, since χ R u(, ) = u(, ) when K, we proved ha u(, ) L (K) +. For he las par of he paper, I would like o poin ou ha almos all he heorems we proved above can be easily generalized from R 3 ino R n for all n 3. Recall he energy criical equaion in R n is u = u n+ n. Using he same argumen, we have he following wo decay raes for u: Theorem 4.7 Le u be a soluion o he equaion u = u 5, u[0] = (f, g) C c (R 3 ) C c (R 3 ). Suppose here eiss a linear wave u L such ha as, hen u(, ) u[] u L [] Ḣ L 0 Theorem 4.8 (Decay rae for u(, ) L following equaion: ( + + ) n ( + ). in R n ) Le u(, ) be a soluion o he u = u n+ n, u[0] = (f, g) C 0 (R n ) C 0 (R n ) Assume ha here eiss a free wave u L wih a possibly differen iniial condiion hen f and g, and u[] u L [] Ḣ L 0 as goes o infiniy. Then u(, ) L for a consan C ha only depends on u. C ( + ) n The proof for boh heorems is enirely analogous o he R 3 case. The only difference is when using he Klainerman Sobolev inequaliy, we ge more powers of ( + + ) in he denominaor and herefore have a bound ha depends on n.

20 0 CALVIN HSU 5. Acknowledgemens This paper is wrien for he MIT SPUR(Summer Program in Undergraduae Research). I would like o hank professor Andrew Lawrie for suggesing he opic and provide very useful suggesions and insighs hroughou his summer, and professor Casey Rodriguez for helping me sar and wrap up he projec, as well as poining ou some possible approaches o he problem. I will also like o hank my menor RuoXuan Yang for eplaining a lo of he new maerials I sudied, coming up wih new ideas and mehods o ackle he problem, and checking my paper and work carefully. Finally, I would like o hank professor Ankur Moira and Davesh Maulik for giving me grea suggesions during our weekly alk. References [] L. Evans, Parial Differenial Equaions: Second Ediion, American Mahemaical Sociey [] A. Lawrie, Nonlinear Wave Equaions, hp://mah.mi.edu/ alawrie/ [3] J. Luk, Inroducion o Nonlinear Wave Equaions, hp://web.sanford.edu/ jluk/ [4] M. Ruzhansky, D. Suragan, Hardy and Rellich Inequaliies, Ideniies, and Sharp Remainders on Homogeneous Groups, Advances in Mahemaics Volume 37, 7 Sepember 07, Pages [5] C. Sogge, Lecures on Non-Linear Wave Equaions, Second Ediion, Inernaional Press, Boson, 008 [6] T. Tao, Spaceime Bounds for The Energy-Criical Nonlinear Wave Equaion in Three Spaial Dimensions, hps://ariv.org/abs/mah/06064 [7] Q. Wang, Lecures on Nonlinear Wave Equaions, hp://

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

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

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

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

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

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

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

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

Two Coupled Oscillators / Normal Modes

Two Coupled Oscillators / Normal Modes Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own

More information

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15. SMT Calculus Tes Soluions February 5,. Le f() = and le g() =. Compue f ()g (). Answer: 5 Soluion: We noe ha f () = and g () = 6. Then f ()g () =. Plugging in = we ge f ()g () = 6 = 3 5 = 5.. There is a

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

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3. Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies

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

Endpoint Strichartz estimates

Endpoint Strichartz estimates Endpoin Sricharz esimaes Markus Keel and Terence Tao (Amer. J. Mah. 10 (1998) 955 980) Presener : Nobu Kishimoo (Kyoo Universiy) 013 Paricipaing School in Analysis of PDE 013/8/6 30, Jeju 1 Absrac of he

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

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

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

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

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

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant).

THE WAVE EQUATION. part hand-in for week 9 b. Any dilation v(x, t) = u(λx, λt) of u(x, t) is also a solution (where λ is constant). THE WAVE EQUATION 43. (S) Le u(x, ) be a soluion of he wave equaion u u xx = 0. Show ha Q43(a) (c) is a. Any ranslaion v(x, ) = u(x + x 0, + 0 ) of u(x, ) is also a soluion (where x 0, 0 are consans).

More information

ES.1803 Topic 22 Notes Jeremy Orloff

ES.1803 Topic 22 Notes Jeremy Orloff ES.83 Topic Noes Jeremy Orloff Fourier series inroducion: coninued. Goals. Be able o compue he Fourier coefficiens of even or odd periodic funcion using he simplified formulas.. Be able o wrie and graph

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

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

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

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Differential Harnack Estimates for Parabolic Equations

Differential Harnack Estimates for Parabolic Equations Differenial Harnack Esimaes for Parabolic Equaions Xiaodong Cao and Zhou Zhang Absrac Le M,g be a soluion o he Ricci flow on a closed Riemannian manifold In his paper, we prove differenial Harnack inequaliies

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

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

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

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

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

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

15. Vector Valued Functions

15. Vector Valued Functions 1. Vecor Valued Funcions Up o his poin, we have presened vecors wih consan componens, for example, 1, and,,4. However, we can allow he componens of a vecor o be funcions of a common variable. For example,

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

1 Review of Zero-Sum Games

1 Review of Zero-Sum Games COS 5: heoreical Machine Learning Lecurer: Rob Schapire Lecure #23 Scribe: Eugene Brevdo April 30, 2008 Review of Zero-Sum Games Las ime we inroduced a mahemaical model for wo player zero-sum games. Any

More information

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du. MATH 3B: MIDTERM REVIEW JOE HUGHES. Inegraion by Pars. Evaluae 3 e. Soluion: Firs make he subsiuion u =. Then =, hence 3 e = e = ue u Now inegrae by pars o ge ue u = ue u e u + C and subsiue he definiion

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

Class Meeting # 10: Introduction to the Wave Equation

Class Meeting # 10: Introduction to the Wave Equation MATH 8.5 COURSE NOTES - CLASS MEETING # 0 8.5 Inroducion o PDEs, Fall 0 Professor: Jared Speck Class Meeing # 0: Inroducion o he Wave Equaion. Wha is he wave equaion? The sandard wave equaion for a funcion

More information

Sections 2.2 & 2.3 Limit of a Function and Limit Laws

Sections 2.2 & 2.3 Limit of a Function and Limit Laws Mah 80 www.imeodare.com Secions. &. Limi of a Funcion and Limi Laws In secion. we saw how is arise when we wan o find he angen o a curve or he velociy of an objec. Now we urn our aenion o is in general

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

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation Hea (iffusion) Equaion erivaion of iffusion Equaion The fundamenal mass balance equaion is I P O L A ( 1 ) where: I inpus P producion O oupus L losses A accumulaion Assume ha no chemical is produced or

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

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

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

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

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

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

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

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

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

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

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR

CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Annales Academiæ Scieniarum Fennicæ Mahemaica Volumen 31, 2006, 39 46 CHARACTERIZATION OF REARRANGEMENT INVARIANT SPACES WITH FIXED POINTS FOR THE HARDY LITTLEWOOD MAXIMAL OPERATOR Joaquim Marín and Javier

More information

Some Ramsey results for the n-cube

Some Ramsey results for the n-cube Some Ramsey resuls for he n-cube Ron Graham Universiy of California, San Diego Jozsef Solymosi Universiy of Briish Columbia, Vancouver, Canada Absrac In his noe we esablish a Ramsey-ype resul for cerain

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

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

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

Matlab and Python programming: how to get started

Matlab and Python programming: how to get started Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,

More information

DISCRETE GRONWALL LEMMA AND APPLICATIONS

DISCRETE GRONWALL LEMMA AND APPLICATIONS DISCRETE GRONWALL LEMMA AND APPLICATIONS JOHN M. HOLTE MAA NORTH CENTRAL SECTION MEETING AT UND 24 OCTOBER 29 Gronwall s lemma saes an inequaliy ha is useful in he heory of differenial equaions. Here is

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

5.1 - Logarithms and Their Properties

5.1 - Logarithms and Their Properties Chaper 5 Logarihmic Funcions 5.1 - Logarihms and Their Properies Suppose ha a populaion grows according o he formula P 10, where P is he colony size a ime, in hours. When will he populaion be 2500? We

More information

Math 10B: Mock Mid II. April 13, 2016

Math 10B: Mock Mid II. April 13, 2016 Name: Soluions Mah 10B: Mock Mid II April 13, 016 1. ( poins) Sae, wih jusificaion, wheher he following saemens are rue or false. (a) If a 3 3 marix A saisfies A 3 A = 0, hen i canno be inverible. True.

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

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016

Bernoulli numbers. Francesco Chiatti, Matteo Pintonello. December 5, 2016 UNIVERSITÁ DEGLI STUDI DI PADOVA, DIPARTIMENTO DI MATEMATICA TULLIO LEVI-CIVITA Bernoulli numbers Francesco Chiai, Maeo Pinonello December 5, 206 During las lessons we have proved he Las Ferma Theorem

More information

Section 7.4 Modeling Changing Amplitude and Midline

Section 7.4 Modeling Changing Amplitude and Midline 488 Chaper 7 Secion 7.4 Modeling Changing Ampliude and Midline While sinusoidal funcions can model a variey of behaviors, i is ofen necessary o combine sinusoidal funcions wih linear and exponenial curves

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

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.

Reading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4. PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

SOLUTIONS TO ECE 3084

SOLUTIONS TO ECE 3084 SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no

More information

ENGI 9420 Engineering Analysis Assignment 2 Solutions

ENGI 9420 Engineering Analysis Assignment 2 Solutions ENGI 940 Engineering Analysis Assignmen Soluions 0 Fall [Second order ODEs, Laplace ransforms; Secions.0-.09]. Use Laplace ransforms o solve he iniial value problem [0] dy y, y( 0) 4 d + [This was Quesion

More information

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4)

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4) Phase Plane Analysis of Linear Sysems Adaped from Applied Nonlinear Conrol by Sloine and Li The general form of a linear second-order sysem is a c b d From and b bc d a Differeniaion of and hen subsiuion

More information

Differential Equations

Differential Equations Mah 21 (Fall 29) Differenial Equaions Soluion #3 1. Find he paricular soluion of he following differenial equaion by variaion of parameer (a) y + y = csc (b) 2 y + y y = ln, > Soluion: (a) The corresponding

More information

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow

KEY. Math 334 Midterm III Winter 2008 section 002 Instructor: Scott Glasgow KEY Mah 334 Miderm III Winer 008 secion 00 Insrucor: Sco Glasgow Please do NOT wrie on his exam. No credi will be given for such work. Raher wrie in a blue book, or on your own paper, preferably engineering

More information

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution Physics 7b: Saisical Mechanics Fokker-Planck Equaion The Langevin equaion approach o he evoluion of he velociy disribuion for he Brownian paricle migh leave you uncomforable. A more formal reamen of his

More information

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

A Note on Superlinear Ambrosetti-Prodi Type Problem in a Ball

A Note on Superlinear Ambrosetti-Prodi Type Problem in a Ball A Noe on Superlinear Ambrosei-Prodi Type Problem in a Ball by P. N. Srikanh 1, Sanjiban Sanra 2 Absrac Using a careful analysis of he Morse Indices of he soluions obained by using he Mounain Pass Theorem

More information

A NOTE ON S(t) AND THE ZEROS OF THE RIEMANN ZETA-FUNCTION

A NOTE ON S(t) AND THE ZEROS OF THE RIEMANN ZETA-FUNCTION Bull. London Mah. Soc. 39 2007 482 486 C 2007 London Mahemaical Sociey doi:10.1112/blms/bdm032 A NOTE ON S AND THE ZEROS OF THE RIEMANN ZETA-FUNCTION D. A. GOLDSTON and S. M. GONEK Absrac Le πs denoe he

More information

= ( ) ) or a system of differential equations with continuous parametrization (T = R

= ( ) ) or a system of differential equations with continuous parametrization (T = R XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Then. 1 The eigenvalues of A are inside R = n i=1 R i. 2 Union of any k circles not intersecting the other (n k)

Then. 1 The eigenvalues of A are inside R = n i=1 R i. 2 Union of any k circles not intersecting the other (n k) Ger sgorin Circle Chaper 9 Approimaing Eigenvalues Per-Olof Persson persson@berkeley.edu Deparmen of Mahemaics Universiy of California, Berkeley Mah 128B Numerical Analysis (Ger sgorin Circle) Le A be

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Chapter 7: Solving Trig Equations

Chapter 7: Solving Trig Equations Haberman MTH Secion I: The Trigonomeric Funcions Chaper 7: Solving Trig Equaions Le s sar by solving a couple of equaions ha involve he sine funcion EXAMPLE a: Solve he equaion sin( ) The inverse funcions

More information

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation

Mathcad Lecture #8 In-class Worksheet Curve Fitting and Interpolation Mahcad Lecure #8 In-class Workshee Curve Fiing and Inerpolaion A he end of his lecure, you will be able o: explain he difference beween curve fiing and inerpolaion decide wheher curve fiing or inerpolaion

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

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

Unit Root Time Series. Univariate random walk

Unit Root Time Series. Univariate random walk Uni Roo ime Series Univariae random walk Consider he regression y y where ~ iid N 0, he leas squares esimae of is: ˆ yy y y yy Now wha if = If y y hen le y 0 =0 so ha y j j If ~ iid N 0, hen y ~ N 0, he

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

4. Advanced Stability Theory

4. Advanced Stability Theory Applied Nonlinear Conrol Nguyen an ien - 4 4 Advanced Sabiliy heory he objecive of his chaper is o presen sabiliy analysis for non-auonomous sysems 41 Conceps of Sabiliy for Non-Auonomous Sysems Equilibrium

More information

Math 334 Test 1 KEY Spring 2010 Section: 001. Instructor: Scott Glasgow Dates: May 10 and 11.

Math 334 Test 1 KEY Spring 2010 Section: 001. Instructor: Scott Glasgow Dates: May 10 and 11. 1 Mah 334 Tes 1 KEY Spring 21 Secion: 1 Insrucor: Sco Glasgow Daes: Ma 1 and 11. Do NOT wrie on his problem saemen bookle, excep for our indicaion of following he honor code jus below. No credi will be

More information

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis

Chapter #1 EEE8013 EEE3001. Linear Controller Design and State Space Analysis Chaper EEE83 EEE3 Chaper # EEE83 EEE3 Linear Conroller Design and Sae Space Analysis Ordinary Differenial Equaions.... Inroducion.... Firs Order ODEs... 3. Second Order ODEs... 7 3. General Maerial...

More information

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should

In this chapter the model of free motion under gravity is extended to objects projected at an angle. When you have completed it, you should Cambridge Universiy Press 978--36-60033-7 Cambridge Inernaional AS and A Level Mahemaics: Mechanics Coursebook Excerp More Informaion Chaper The moion of projeciles In his chaper he model of free moion

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Traveling Waves. Chapter Introduction

Traveling Waves. Chapter Introduction Chaper 4 Traveling Waves 4.1 Inroducion To dae, we have considered oscillaions, i.e., periodic, ofen harmonic, variaions of a physical characerisic of a sysem. The sysem a one ime is indisinguishable from

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 31 Signals & Sysems Prof. Mark Fowler Noe Se #1 C-T Sysems: Convoluion Represenaion Reading Assignmen: Secion 2.6 of Kamen and Heck 1/11 Course Flow Diagram The arrows here show concepual flow beween

More information

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17 EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive

More information

Today: Falling. v, a

Today: Falling. v, a Today: Falling. v, a Did you ge my es email? If no, make sure i s no in your junk box, and add sbs0016@mix.wvu.edu o your address book! Also please email me o le me know. I will be emailing ou pracice

More information