Collective electronic transport close to metal-insulator or superconductor-insulator transitions
|
|
- Beatrix Lee
- 5 years ago
- Views:
Transcription
1 Colleve eleron ranspor lose o meal-nsulaor or superonduor-nsulaor ransons Markus Müller Unversy of Geneva Lev Ioffe (Rugers Unversy) dsussons wh Mkhal Fegelman (Landau Insue) Newon Insue, Cambrdge, 17 h Deember, 008
2 Oulne Revew of sngle-parle and many-body loalzaon. Expermens suggesng purely eleron onduon n nsulaors (.e. many-body deloalzaon ). Theory of eleron-asssed ranspor Maor ngreden: srongly orrelaed, quanum glassy sae of elerons lose o he meal-nsulaor ranson. Remnans of many-body loalzaon lose o he superonduor-o-nsulaor ranson?
3 Revew of loalzaon and nsulaors
4 Revew of loalzaon and nsulaors Sll lle undersandng beyond he smple model!!
5 Anderson loalzaon (3D) Connuous sperum Pon sperum Mobly edge
6 Anderson loalzaon (3D) On he Behe lae: (Abou-Chara, Thouless, Anderson (1973)) P ( ε ) 1 δ δ δ < # # k d δ δ > # # k d loalzed exended
7 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). H Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? ψ ( x) ψ ( x) ψ ( x) V ( x) ψ ( x) ψ ( x) ψ ( x ) V ( x x' ) ψ ( x' ) ψ ( x) ' n
8 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). H Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? ψ ( x) ψ ( x) ψ ( x) V ( x) ψ ( x) ψ ( x) ψ ( x ) V ( x x' ) ψ ( x' ) ψ ( x) ' n Creae exra harge bump a orgn: Ψ / -x a e dx ψ π a ( x) ΨGS
9 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). H Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? ψ ( x) ψ ( x) ψ ( x) V ( x) ψ ( x) ψ ( x) ψ ( x ) V ( x x' ) ψ ( x' ) ψ ( x) ' n δ ( x, ) ˆ ρ ( x) ( x) ( ) ˆ ρ q Ψ Ψ GS Tme evoluon? Dynam loalzaon?
10 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). H Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? ψ ( x) ψ ( x) ψ ( x) V ( x) ψ ( x) ψ ( x) ψ ( x ) V ( x x' ) ψ ( x' ) ψ ( x) ' n δ ( x, ) ˆ ρ ( x) ( x) ( ) ˆ ρ q Ψ Ψ GS Tme evoluon? Dynam loalzaon? x δq δ ( x, ) x dx q( x, ) dx ~ D α D, α < 1 < ons. Deloalzaon Anomalous dffuson Manybody loalzaon
11 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? A: Fleshman and Anderson: 1 s order perurbaon heory: Yes: for shor range neraons. No: for long range neraons: Eleron-asssed hoppng s possble.
12 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? A: Fleshman and Anderson: 1 s order perurbaon heory: Yes: for shor range neraons. No: for long range neraons: Eleron-asssed hoppng s possble. Reason: Energy onservaon mpossble f here s no onnuous bah! Sngle hop: Energy msmah beause of loal pon sperum. No harge ranspor a hs level
13 Loalzaon wh neraon? L. Fleshman and P. W. Anderson, PRB, 1, 366 (1980). Q: Does loalzaon perss n he presene of neraons? In oher words: Does onduvy vansh exaly whou phonons? A: Fleshman and Anderson: 1 s order perurbaon heory: Yes: for shor range neraons. No: for long range neraons: Eleron-asssed hoppng s possble. Reason: Energy onservaon mpossble f here s no onnuous bah! Mulparle rearrangemens: Transon energes reman dsree for weak neraons and low T
14 Loalzaon wh neraon? Invesgaon o all orders n perurbaon heory: I. V. Gorny, A. D. Mrln, and D. G. Polyakov, PRL 95, (005). D. M. Basko, I. L. Alener, and B. L. Alshuler, Ann. Phys. 31, 116 (006). Assumpon: Very weak neraons: V n << level spang δ ξ. Conluson: An energy rss (.e., a meal-nsulaor ranson whou phonons) ours a hgh emperaure due o loalzaon n Fokspae. Argumen: Same as Anderson loalzaon: 1) Ses many body saes Ψ Ψ 0 1 a a α γ a Ψ β a GS α Ψ e. ) Perurbaon heory n hoppng Perurbaon heory n neraons GS
15 Loalzaon wh neraon? Invesgaon o all orders n perurbaon heory: I. V. Gorny, A. D. Mrln, and D. G. Polyakov, PRL 95, (005). D. M. Basko, I. L. Alener, and B. L. Alshuler, Ann. Phys. 31, 116 (006). Assumpon: Very weak neraons: V n << level spang δ ξ. Conluson: An energy rss (.e., a meal-nsulaor ranson whou phonons) ours a hgh emperaure due o loalzaon n Fokspae. Argumen: Same as Anderson loalzaon: 1) Ses many body saes T MIT Ψ Ψ 0 1 ) Perurbaon heory n hoppng Perurbaon heory n neraons ( δ ) V a a ξ n α γ a Ψ β a GS α >> δ Ψ ξ GS T e. Mo hoppng
16 Loalzaon wh neraon? Invesgaon o all orders n perurbaon heory: I. V. Gorny, A. D. Mrln, and D. G. Polyakov, PRL 95, (005). D. M. Basko, I. L. Alener, and B. L. Alshuler, Ann. Phys. 31, 116 (006). Assumpon: Very weak neraons: V n << level spang δ ξ. Conluson: An energy rss (.e., a meal-nsulaor ranson whou phonons) ours a hgh emperaure due o loalzaon n Fokspae. Could here be nsanons?? Argumen: Same as Anderson loalzaon: 1) Ses many body saes T MIT Ψ Ψ 0 1 ) Perurbaon heory n hoppng Perurbaon heory n neraons ( δ ) V a a ξ n α γ a Ψ β a GS α >> δ Ψ ξ GS T e. Mo hoppng
17 Implaons of manybody loalzaon A rue quanum glass: non-ergod sysems, despe of neraons! Defea of ardnal assumpon of hermodynams: ha nfnesmal neraons wll evenually lead o equlbraon Perfe, olleve nsulaors a fne T Quanum ompung/nformaon: Preserved quanum oherene due o lmed enanglemen of loal degrees of freedom
18 Wha abou expermen? No meal-nsulaor ranson observed a fne T Raher: Evdene for e-asssed hoppng (many-body deloalzaon) Why hs dfferene from heoreal predons!?
19 Eleron asssed hoppng Doped GaAs/Al x Ga 1-x As heerosruure S. I. Khondaker e al., PRB 59, 4580 (1999)
20 Eleron asssed hoppng Doped GaAs/Al x Ga 1-x As heerosruure Efros-Shklovsk varable range hoppng: h T T ρ D f exp e T0 T 0 1 S. I. Khondaker e al., PRB 59, 4580 (1999) Nearly unversal prefaor! ( 1) O( 1)! f In sark onras wh sandard phonon-asssed hoppng! [ ( ) ( )] 4 f 1 O 10 e ph Mo and Daves (1979), Alener e al. (1994)
21 Open Quesons Theory for eleron-asssed ranspor n nsulaors? Expermenal evdene for e-asssed hoppng Cavea n heores of manybody loalzaon??? Can one have an nsulaor and eleron-eleron neraon-ndued onduvy a fne T? How o explan he nearly unversal eleron prefaor? h e
22 Model sysem Elerons wh dsorder Coulomb neraons n 3d or quas d H H V V kn ds Sngle parle Anderson problem Dagonalze! Assumpon abou dsorder Sngle parle problem d lose o he Anderson ranson ( ) 1 Cb Large loalzaon lengh ξ >> n -1/3, Small level spang νξ δ ξ
23 H Model sysem Elerons wh dsorder Coulomb neraons n 3d or quas d ε n n Jn k nk, H H V V kn ds Sngle parle Anderson problem Dagonalze! Assumpon abou dsorder Sngle parle problem lose o he Anderson ranson Cb Large loalzaon lengh ξ >> n -1/3, Small level spang Hamlonan n sngle parle bass (wavefunons ϕ ):,, k,, k, l u kl δ ξ k l d ( νξ ) 1 P Sngle parle energes 1 νξ δ 3 ( ε )
24 P H Model sysem Elerons wh dsorder Coulomb neraons n 3d or quas d ε n n Jn k nk J, H H V V kn ds Sngle parle Anderson problem Dagonalze! Assumpon abou dsorder Sngle parle problem lose o he Anderson ranson Hamlonan n sngle parle bass (wavefunons ϕ ): Sngle parle energes 1 νξ δ 3 ( ε ),, k,, k, l u kl [ ϕ ( r) ρ] [ ϕ ( r ) ρ] ( ) ( ) ϕ r ϕ r ϕ ( r ) ϕ ( r ) drdr κ r r Cb Large loalzaon lengh ξ >> n -1/3, Small level spang u kl Coulomb neraon (paral sreenng from hgh energy saes) δ ξ k l d ( νξ ) 1 k drdr κ r r l
25 Wavefunons a he mobly edge Egensaes of he non-nerang Anderson problem: Spaally overlappng fraal wavefunons H. Aok, PRB, 33, 7310 (1986). Theory: Mrln e al.; Kravsov e al.;
26 Coulomb neraons are srong a he Meal-nsulaor ranson! Sale of Coulomb neraons: Level spang: J ~ e κξ δ 1 νξ 3 Salng argumens numeral and expermenal ndaons: J ~ δ 3 e νξ κξ ~ ξ ξ α ; wh α > 0. Conluson: Coulomb neraons are srong and non-perurbave n he nsulaor!
27 Quanum eleron glass Theoreal model: Mean feld-lke quanum eleron glass ( ) 3 1 νξ δ ε P κξ ~ e J J ( ) d e J z νξ κξ δ As ξ, k l k l k kl k k u n n J n n H ε
28 Quanum eleron glass Theoreal model: Mean feld-lke quanum eleron glass Expe quanum glass sae: Many loal mnma wh many sof olleve exaons! l k l k kl u n J n n H,,,, ε ( ) δ ε 1 P ( ) d e J z νξ κξ δ Srong neraons GS non-rval Random sgns Frusraon As ξ, ( ) 3 1 νξ δ ε P κξ ~ e J J k l k l k kl k k u n n J n n H ε
29 Quanum eleron glass Theoreal model: Mean feld-lke quanum eleron glass l k l k kl u n J n n H,,,, ε δ δ >> >> J J J T E a Energy range where reshufflng ours: ( ) δ ε 1 P Expe quanum glass sae: Many loal mnma wh many sof olleve exaons! ( ) d e J z νξ κξ δ As ξ, ( ) 3 1 νξ δ ε P κξ ~ e J J k l k l k kl k k u n n J n n H ε Srong neraons GS non-rval Random sgns Frusraon
30 Quanum eleron glass Theoreal model: Mean feld-lke quanum eleron glass H ε εn n J J n, u kkl,, k, l n k k u l kl k l P ( ε ) 1 k δ l P J 1 νξ δ 3 ( ε ) ~ J e κξ As ξ, z J δ d ( e κξ ) νξ Srong neraons GS non-rval Random sgns Frusraon Energy range where reshufflng ours: E a T J J >> δ J >> δ Number of ave neghbors of gven eleron: N a Expe quanum glass sae: Many loal mnma wh many sof olleve exaons! z >>1 Large onrol parameer!
31 Quanum eleron glass Program: Undersand he olleve modes (plasmons) of he quanum eleron glass whn mean feld heory. Infer he exsene of a gapless phononlke bah whh an resolve he energy onservaon problem n hoppng onduvy.
32 Reduon o a quanum spn glass Idea: Classal frusraed glass quanum fluuaons k l k l k kl k k u n n J n n H ε
33 Reduon o a quanum spn glass Idea: Classal frusraed glass quanum fluuaons Spn represenaon for level oupaon: z σ ± 1 1, 0 n
34 Reduon o a quanum spn glass Idea: Classal frusraed glass quanum fluuaons Spn represenaon for level oupaon: z σ ± 1 n 1,0 Dynamal mean feld desrpon (good for z >> 1) Ineral, non-dsspave dynams vrual exhange proesses of elerons wh he bah of neghborng ses, no deay
35 Reduon o a quanum spn glass Idea: Classal frusraed glass quanum fluuaons Spn represenaon for level oupaon: z σ ± 1 n 1,0 For he purpose of olleve dynams: Desrbe quanum fluuaons by a selfonssen effeve ransverse feld eff wh H eff ( z x ε ) σ effσ 1, σ J z J δ σ >> z eff >> J
36 Reduon o a quanum spn glass Idea: Classal frusraed glass quanum fluuaons Spn represenaon for level oupaon: z σ ± 1 n 1,0 For he purpose of olleve dynams: Desrbe quanum fluuaons by a selfonssen effeve ransverse feld eff wh H eff ( z x ε ) σ effσ 1, σ J Am: Oban olleve deloalzed modes onnuous bah. Show ha he sysem remans an nsulaor (sngle parle exaons reman sharp lose o he Ferm level) Consru he heory of eleron-asssed hoppng. z J δ σ >> z eff >> J
37 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ) Transverse feld Isng spn glass (quanum Sherrngon Krkpark-model a z ), σ J z σ z Paramagne Glass? (Goldshmd and La, PRL 1990)
38 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ), σ J Transverse feld Isng spn glass (quanum Sherrngon Krkpark-model a z ) z σ z Paramagne For nfne oordnaon z : Phase ranson no a glass sae: - Broken ergody - Many long-lved measable saes Glass? Goldshmd and La, PRL (1990)
39 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ), σ J Transverse feld Isng spn glass (quanum Sherrngon Krkpark-model a z ) z σ z Paramagne For nfne oordnaon z : Phase ranson no a glass sae: - Broken ergody - Many long-lved measable saes Glass? Goldshmd and La, PRL (1990) Speral gap loses a he quanum phase ranson and remans zero n he glass phase! Read, Sahdev, Ye, PRL (1993)
40 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ), σ J Transverse feld Isng spn glass (quanum Sherrngon Krkpark-model a z ) z σ z? Glass Paramagne For nfne oordnaon z : Phase ranson no a glass sae: - Broken ergody - Many long-lved measable saes - Self-organzed raly (margnal sably) of he saes whn he glass phase Goldshmd and La, PRL (1990) Speral gap loses a he quanum phase ranson and remans zero n he glass phase! Read, Sahdev, Ye, PRL (1993)
41 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ), σ J z σ z Consraned free energy as a funon of magnezaons mposed by ex ex exernal auxlary felds h (oal loal feld: h h ε ) a large z G z ({ σ m }) E ( m ) ex 1 1 ( h m ) m Jm J dτχ ( τ ) χ ( τ ) 0 E m χ h de dh ( h ) ( ω 0) dm dh eff E ( m )
42 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff z x 1 ( ε σ effσ ), σ J z σ z Consraned free energy as a funon of magnezaons mposed by ex ex exernal auxlary felds h (oal loal feld: h h ε ) a large z: G z ({ σ m }) E ( m ) ex 1 1 ( h m ) m Jm J dτχ ( τ ) χ ( τ ) 0 E m χ h de dh ( h ) ( ω 0) dm dh eff E ( m ) Loal mnma ( G m 0) ε Jm m (n sa approxmaon) χ ( m ) ; m m( h ) h J N oupled random equaons for {m } wh exponenally many soluons!
43 Quanum TAP equaons (Thouless, Anderson, Palmer 1977: Classal SK model) H eff ( z x ε ) σ effσ 1, σ J z σ z Loal mnma ( G m 0) ( m ) ; m m( h ) h J ε Jm m χ Envronmen of a loal mnmum (poenal landsape): Hessan: Η G m m J dagonal erms Spe λ [ H ] ρh ( λ) C (a small λ) J eff Gapless sperum (assured by margnal sably) n he whole glass phase!
44 Sof olleve modes Sperum of he Hessan Spe λ C λ Dsrbuon of resorng fores [ ] H ( ) H ρ J eff
45 Sof olleve modes Sperum of he Hessan Dsrbuon of resorng fores Spe λ [ H ] ρh ( λ) C J eff Semlasss: N olleve osllaors wh mass M ~ 1/ eff and frequeny ω λ M Mode densy ω J ( ω) C ρ eff
46 Sof olleve modes Sperum of he Hessan Dsrbuon of resorng fores Spe λ [ H ] ρh ( λ) C J eff Semlasss: N olleve osllaors wh mass M ~ 1/ eff and frequeny ω λ M Mode densy ( ω) C ρ ω J eff Connuous bah wh speral funon (n he regme of deloalzed modes!) 1 Mω ( ω) ρ( ω) ~ χ '' ω J Independen of eff! Generalzaon of known speral funon a he quanum glass ranson. [Mller, Huse (SK model); Read, Ye, Sahdev (roor models)]
47 Loalzaon of olleve modes?
48 Loalzaon of olleve modes? In 3D: Random marx J ouples every loalzed level o z >> 1 lose spaal neghbors. z
49 Loalzaon of olleve modes? Egenvalue and egenveor sperum of a random marx J (3D) Sperum of J z z <
50 Loalzaon of olleve modes? Egenvalue and -veor sperum of TAP Hessan H (3d) TAP: Sperum of Hessan z ~ N ave >>1
51 Loalzaon of olleve modes? Egenvalue and -veor sperum of TAP Hessan H (3d) TAP: Sperum of Hessan z ~ N ave >>1 Deloalzed low-energy plasmons down o E Jz 1 6 << mn ~ J
52 Summary of resuls The quanum eleron glass possesses a onnuous bah of olleve unharged exaons, (whh are beyond perurbaon heory)
53 Summary of resuls The quanum eleron glass possesses a onnuous bah of olleve unharged exaons, (whh are beyond perurbaon heory) Furher, we have heked ha: Sngle parle exaons reman very sharp a he Ferm level: Level broadenng from deay proesses (1/T 1 ) and pure dephasng (1/T ) s smaller han level spang δ.
54 Summary of resuls The quanum eleron glass possesses a onnuous bah of olleve unharged exaons, (whh are beyond perurbaon heory) Furher, we have heked ha: Sngle parle exaons reman very sharp a he Ferm level: Level broadenng from deay proesses (1/T 1 ) and pure dephasng (1/T ) s smaller han level spang δ. The sysem remans an nsulaor: ρ A fne emperaure: onduon by hoppng, smulaed by olleve eleron modes. ( T 0)
55 Boom lne: Varable range hoppng Eleron hoppng ou of loalzaon volume A olleve mode (plasmon) an provde he exa energy dfferene n a sngle eleron hop beause of he onnuous sperum of he bah. All eleron levels aqure a fne f small wdh due o her ouplng o plasmons. Hene, here s no manybody loalzaon.
56 Boom lne: Varable range hoppng Varable range hoppng σ ( T ) σ 0 T exp T d ξ 0 1 Srehed exponenal n T: Sngle elerons opmze avaon energy vs ranson probably (lengh of hops) elemenary ressors (Mller-Abrahams) Perolaon problem for he nework of ressors (Ambegaokar e al., Pollak, Shklovsk) As n phonon-asssed hoppng bu wh dfferen prefaor refleng he plasmon bah!
57 Boom lne: Varable range hoppng Varable range hoppng σ ( T ) σ 0 T exp T d ξ 0 1 Srehed exponenal n T: Sngle elerons opmze avaon energy vs ranson probably (lengh of hops) elemenary ressors (Mller-Abrahams) Perolaon problem for he nework of ressors (Ambegaokar e al., Pollak, Shklovsk) Only wo energy sales: T and T J 0 e κξ (quas d) σ α e T 0 α h T 0 0.3
58 Boom lne: Varable range hoppng Varable range hoppng σ ( T ) σ 0 T exp T d ξ 0 1 Srehed exponenal n T: Sngle elerons opmze avaon energy vs ranson probably (lengh of hops) elemenary ressors (Mller-Abrahams) Perolaon problem for he nework of ressors (Ambegaokar e al., Pollak, Shklovsk) Only wo energy sales: T and T J 0 e κξ (quas d) σ α e T 0 α h T Doped GaAs/Al x Ga 1-x As heerosruure S. I. Khondaker e al., PRB 59, 4580 (1999)
59 Many body loalzaon: Two problems: where o fnd bes? Four-fermon saerng nrodues srong quanum fluuaons Long range Coulomb neraons spol loalzaon, even a low densy Possble way ou: nsulaors wh srong superondung orrelaons (fermons bound no preformed pars), wh suppressed/sreened Coulomb neraons
60 Why o expe many body loalzaon a he SIT? Elerons are bound n loalzed pars (Anderson pseudospns) Phase volume for nelas proesses s srongly redued as ompared o he sngle eleron problem MIT Cooper hard ore repulson Coulomb
61 Why o expe many body loalzaon a he SIT? Elerons are bound n loalzed pars (Anderson pseudospns) Phase volume for nelas proesses s srongly redued as ompared o he sngle eleron problem MIT Cooper hard ore repulson Coulomb Pars: doubly ouped loalzed wavefunons (hard ore bosons) z z z H par ε σ σ σ Jσ σ (Anderson, MaLee, FegelmannIoffe) Dsorder ( nsulaor) Kne energy of pars ( superonduvy)
62 Why o expe many body loalzaon a he SIT? Elerons are bound n loalzed pars Phase volume for nelas proesses s srongly redued as ompared o he sngle eleron problem MIT Cooper hard ore repulson Coulomb T, E SC T E (olleve) Ins Coneure (for nsulaor): A T0 all exaons wh E < E are loalzed Expermenal ndaons for suh a senaro! Dsorder
63 Conlusons Model for purely eleron-asssed hoppng n nsulaors. Colleve sof modes provde a bah wh onnuous sperum and ensure energy onservaon durng a hoppng even. No manybody loalzaon expeed lose o he Meal-nsulaor ranson Possbly dfferen, and onepually very neresng suaon lose o dry superonduor-nsulaor ransons
Density Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary
More informationDensity Matrix Description of NMR BCMB/CHEM 8190
Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm H ( q, p, ) = q p L( q, q, ) H p = q H q = p H = L Equvalen o Lagrangan formalsm Smpler, bu
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 9 Hamlonan Equaons of Moon (Chaper 8) Wha We Dd Las Tme Consruced Hamlonan formalsm Hqp (,,) = qp Lqq (,,) H p = q H q = p H L = Equvalen o Lagrangan formalsm Smpler, bu wce as
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationLet s treat the problem of the response of a system to an applied external force. Again,
Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationNATIONAL UNIVERSITY OF SINGAPORE PC5202 ADVANCED STATISTICAL MECHANICS. (Semester II: AY ) Time Allowed: 2 Hours
NATONAL UNVERSTY OF SNGAPORE PC5 ADVANCED STATSTCAL MECHANCS (Semeser : AY 1-13) Tme Allowed: Hours NSTRUCTONS TO CANDDATES 1. Ths examnaon paper conans 5 quesons and comprses 4 prned pages.. Answer all
More informationLecture 2 M/G/1 queues. M/G/1-queue
Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly
More informationEP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES
EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and
More informationElectromagnetic waves in vacuum.
leromagne waves n vauum. The dsovery of dsplaemen urrens enals a peular lass of soluons of Maxwell equaons: ravellng waves of eler and magne felds n vauum. In he absene of urrens and harges, he equaons
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationMotion of Wavepackets in Non-Hermitian. Quantum Mechanics
Moon of Wavepaces n Non-Herman Quanum Mechancs Nmrod Moseyev Deparmen of Chemsry and Mnerva Cener for Non-lnear Physcs of Complex Sysems, Technon-Israel Insue of Technology www.echnon echnon.ac..ac.l\~nmrod
More informationPendulum Dynamics. = Ft tangential direction (2) radial direction (1)
Pendulum Dynams Consder a smple pendulum wh a massless arm of lengh L and a pon mass, m, a he end of he arm. Assumng ha he fron n he sysem s proporonal o he negave of he angenal veloy, Newon s seond law
More informationNonlinearity versus Perturbation Theory in Quantum Mechanics
Nonlneary versus Perurbaon Theory n Quanum Mechancs he parcle-parcle Coulomb neracon Glber Rensch Scence Insue, Unversy o Iceland, Dunhaga 3, IS-107 Reykjavk, Iceland There are bascally wo "smple" (.e.
More informationBorn Oppenheimer Approximation and Beyond
L Born Oppenhemer Approxmaon and Beyond aro Barba A*dex Char Professor maro.barba@unv amu.fr Ax arselle Unversé, nsu de Chme Radcalare LGHT AD Adabac x dabac x nonadabac LGHT AD From Gree dabaos: o be
More informationMechanics Physics 151
Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ
More informationarxiv: v2 [quant-ph] 11 Dec 2014
Quanum mehanal uneranes and exa ranson ampludes for me dependen quadra Hamlonan Gal Harar, Yaob Ben-Aryeh, and Ady Mann Deparmen of Physs, Tehnon-Israel Insue of Tehnology, 3 Hafa, Israel In hs work we
More informationLecture Notes 4: Consumption 1
Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationJ i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.
umercal negraon of he dffuson equaon (I) Fne dfference mehod. Spaal screaon. Inernal nodes. R L V For hermal conducon le s dscree he spaal doman no small fne spans, =,,: Balance of parcles for an nernal
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationAbout Longitudinal Waves of an Electromagnetic Field
bou Longudnal Waves of an Eleromagne eld Yur. Sprhev The Sae om Energ Corporaon ROSTOM, "Researh and Desgn Insue of Rado-Eleron Engneerng" - branh of ederal Senf-Produon Cener "Produon ssoaon "Sar" named
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationQUANTUM TO CLASSICAL TRANSITION IN THE THEORY OF OPEN SYSTEMS
QUANTUM THEORY QUANTUM TO CLASSICAL TRANSITION IN THE THEORY OF OPEN SYSTEMS A ISAR Deparmen of Theorecal Physcs, Insue of Physcs and Nuclear Engneerng, Buchares-Magurele, Romana e-mal address: sar@heorynpnero
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More information8. Superfluid to Mott-insulator transition
8. Superflud to Mott-nsulator transton Overvew Optcal lattce potentals Soluton of the Schrödnger equaton for perodc potentals Band structure Bloch oscllaton of bosonc and fermonc atoms n optcal lattces
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationCOMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2
COMPUTE SCIENCE 49A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PATS, PAT.. a Dene he erm ll-ondoned problem. b Gve an eample o a polynomal ha has ll-ondoned zeros.. Consder evaluaon o anh, where e e anh. e e
More informationChapters 2 Kinematics. Position, Distance, Displacement
Chapers Knemacs Poson, Dsance, Dsplacemen Mechancs: Knemacs and Dynamcs. Knemacs deals wh moon, bu s no concerned wh he cause o moon. Dynamcs deals wh he relaonshp beween orce and moon. The word dsplacemen
More information( ) [ ] MAP Decision Rule
Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationProblem Set 3 EC2450A. Fall ) Write the maximization problem of the individual under this tax system and derive the first-order conditions.
Problem Se 3 EC450A Fall 06 Problem There are wo ypes of ndvduals, =, wh dfferen ables w. Le be ype s onsumpon, l be hs hours worked and nome y = w l. Uly s nreasng n onsumpon and dereasng n hours worked.
More informationLecture 9: Dynamic Properties
Shor Course on Molecular Dynamcs Smulaon Lecure 9: Dynamc Properes Professor A. Marn Purdue Unversy Hgh Level Course Oulne 1. MD Bascs. Poenal Energy Funcons 3. Inegraon Algorhms 4. Temperaure Conrol 5.
More informationPurely electronic transport in dirty boson insulators
Purely electronic transport in dirty boson insulators Markus Müller Ann. Phys. (Berlin) 18, 849 (2009). Discussions with M. Feigel man, M.P.A. Fisher, L. Ioffe, V. Kravtsov, Abdus Salam International Center
More informationFI 3103 Quantum Physics
/9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationOrigin of the inertial mass (II): Vector gravitational theory
Orn of he neral mass (II): Veor ravaonal heory Weneslao Seura González e-mal: weneslaoseuraonzalez@yahoo.es Independen Researher Absra. We dedue he nduve fores of a veor ravaonal heory and we wll sudy
More informationOutput equals aggregate demand, an equilibrium condition Definition of aggregate demand Consumption function, c
Eonoms 435 enze D. Cnn Fall Soal Senes 748 Unversy of Wsonsn-adson Te IS-L odel Ts se of noes oulnes e IS-L model of naonal nome and neres rae deermnaon. Ts nvolves exendng e real sde of e eonomy (desred
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationMethods of Improving Constitutive Equations
Mehods o mprovng Consuve Equaons Maxell Model e an mprove h ne me dervaves or ne sran measures. ³ ª º «e, d» ¼ e an also hange he bas equaon lnear modaons non-lnear modaons her Consuve Approahes Smple
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More information2. SPATIALLY LAGGED DEPENDENT VARIABLES
2. SPATIALLY LAGGED DEPENDENT VARIABLES In hs chaper, we descrbe a sascal model ha ncorporaes spaal dependence explcly by addng a spaally lagged dependen varable y on he rgh-hand sde of he regresson equaon.
More informationQUANTUM TO CLASSICAL TRANSITION IN THE LINDBLAD THEORY OF OPEN QUANTUM SYSTEMS
Romanan Repors n Physcs, Vol. 57, No., P. 573 583, 005 QUANTUM TO CLASSICAL TRANSITION IN THE LINDBLAD THEORY OF OPEN QUANTUM SYSTEMS A. ISAR Deparmen of Theorecal Physcs, Insue of Physcs and Nuclear Engneerng,
More informationQuantum glasses Frustration and collective behavior at T = 0
Quantum glasses Frustraton and collectve behavor at T = 0 Markus Müller (ICTP Treste) Collaborators: Alexe Andreanov (ICTP) Xaoquan Yu (SISSA) Lev Ioffe (Rutgers) Unverstät zu Köln, 17. November 2010 Arrow
More informationImplementation of Quantized State Systems in MATLAB/Simulink
SNE T ECHNICAL N OTE Implemenaon of Quanzed Sae Sysems n MATLAB/Smulnk Parck Grabher, Mahas Rößler 2*, Bernhard Henzl 3 Ins. of Analyss and Scenfc Compung, Venna Unversy of Technology, Wedner Haupsraße
More informationEpistemic Game Theory: Online Appendix
Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha
More informationSolution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.
ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh
More informationComputational results on new staff scheduling benchmark instances
TECHNICAL REPORT Compuaonal resuls on new saff shedulng enhmark nsanes Tm Curos Rong Qu ASAP Researh Group Shool of Compuer Sene Unersy of Nongham NG8 1BB Nongham UK Frs pulshed onlne: 19-Sep-2014 las
More informationQuantum Mechanical Foundations of Causal Entropic Forces
Quanum Mechancal Foundaons of ausal Enropc Forces wapnl hah Deparmen of Elecrcal and ompuer Engneerng Norh arolna ae Unversy, U s he number of expers ncrease, each specaly becomes all he more self-susanng
More information2/20/2013. EE 101 Midterm 2 Review
//3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationOutline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model
Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationSampling Procedure of the Sum of two Binary Markov Process Realizations
Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV
More informationFTCS Solution to the Heat Equation
FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence
More informationThe Maxwell equations as a Bäcklund transformation
ADVANCED ELECTROMAGNETICS, VOL. 4, NO. 1, JULY 15 The Mawell equaons as a Bäklund ransformaon C. J. Papahrsou Deparmen of Physal Senes, Naval Aademy of Greee, Praeus, Greee papahrsou@snd.edu.gr Absra Bäklund
More informationLecture Slides for INTRODUCTION TO. Machine Learning. ETHEM ALPAYDIN The MIT Press,
Lecure Sldes for INTRDUCTIN T Machne Learnng ETHEM ALAYDIN The MIT ress, 2004 alpaydn@boun.edu.r hp://www.cmpe.boun.edu.r/~ehem/2ml CHATER 3: Hdden Marov Models Inroducon Modelng dependences n npu; no
More informationAdvanced Machine Learning & Perception
Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel
More information- Experimental Quantum Optics -
Modern Ops - Expermenal Quanum Ops - Thomas Halfmann homas.halfmann@physk.u-darmsad.deh h d d www.physk.u-darmsad.de/nlq quanum ops nvesgaons of neraons beween (oheren) radaon & maer bas elemens of heory
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationLecture 6: Learning for Control (Generalised Linear Regression)
Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson
More informationExistence and Uniqueness Results for Random Impulsive Integro-Differential Equation
Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal
More informationTrack Properities of Normal Chain
In. J. Conemp. Mah. Scences, Vol. 8, 213, no. 4, 163-171 HIKARI Ld, www.m-har.com rac Propes of Normal Chan L Chen School of Mahemacs and Sascs, Zhengzhou Normal Unversy Zhengzhou Cy, Hennan Provnce, 4544,
More informatione-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov
June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School
More informationMaterial Science Simulations using PWmat
Maeral Scence Smulaons usng PWma Ln-Wang Wang Chef Techncal Advsor, LongXu Oulne 1 Charge pachng mehod for nanosrucure calculaons 2 Shockley-Read-Hall nonradave decay calculaons 3 Real-me TDDFT smulaons
More informationIII. Effective Interaction Theory
III. Effecve Ineracon heory opcs o be covered nclude: Inuve deas Bref revew of operaor formalsm ason scaerng formalsm Kerman, McManus, haler scaerng formalsm Feshbach scaerng formalsm Brueckner nuclear
More informationarxiv:cond-mat/ May 2002
-- uadrupolar Glass Sae in para-hydrogen and orho-deuerium under pressure. T.I.Schelkacheva. arxiv:cond-ma/5538 6 May Insiue for High Pressure Physics, Russian Academy of Sciences, Troisk 49, Moscow Region,
More informationPart II CONTINUOUS TIME STOCHASTIC PROCESSES
Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:
More informationScattering at an Interface: Oblique Incidence
Course Insrucor Dr. Raymond C. Rumpf Offce: A 337 Phone: (915) 747 6958 E Mal: rcrumpf@uep.edu EE 4347 Appled Elecromagnecs Topc 3g Scaerng a an Inerface: Oblque Incdence Scaerng These Oblque noes may
More informationMany-body localization (overview)
Many-body localzaton (overvew) Dma Abann Permeter Insttute Unversty of Geneva Closng The Entanglement Gap Santa Barbara, June 4, 2015 Ergodcty and ts breakng n classcal systems Ergodcty: System explores
More informationBlock 5 Transport of solutes in rivers
Nmeral Hydrals Blok 5 Transpor of soles n rvers Marks Holzner Conens of he orse Blok 1 The eqaons Blok Compaon of pressre srges Blok 3 Open hannel flow flow n rvers Blok 4 Nmeral solon of open hannel flow
More informationEnergy Storage Devices
Energy Sorage Deces Objece of Lecure Descrbe he consrucon of a capacor and how charge s sored. Inroduce seeral ypes of capacors Dscuss he elecrcal properes of a capacor The relaonshp beween charge, olage,
More informationRegularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator
www.sene.org/mas Modern Appled ene Vol. 5, o. 2; Aprl 2 Regularzaon and ablzaon of he Reangle Desrpor Deenralzed Conrol ysems by Dynam Compensaor Xume Tan Deparmen of Eleromehanal Engneerng, Heze Unversy
More informationEntanglement and complexity of many-body wavefunctions
Enanglemen and complexiy of many-body wavefuncions Frank Versraee, Universiy of Vienna Norber Schuch, Calech Ignacio Cirac, Max Planck Insiue for Quanum Opics Tobias Osborne, Univ. Hannover Overview Compuaional
More informationTHE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS
THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he
More informationH = d d q 1 d d q N d d p 1 d d p N exp
8333: Sacal Mechanc I roblem Se # 7 Soluon Fall 3 Canoncal Enemble Non-harmonc Ga: The Hamlonan for a ga of N non neracng parcle n a d dmenonal box ha he form H A p a The paron funcon gven by ZN T d d
More informationEE 247B/ME 218: Introduction to MEMS Design Lecture 27m2: Gyros, Noise & MDS CTN 5/1/14. Copyright 2014 Regents of the University of California
MEMSBase Fork Gyrosoe Ω r z Volage Deermnng Resoluon EE C45: Inrouon o MEMS Desgn LeM 15 C. Nguyen 11/18/08 17 () Curren (+) Curren Eleroe EE C45: Inrouon o MEMS Desgn LeM 15 C. Nguyen 11/18/08 18 [Zaman,
More informationOnline Appendix for. Strategic safety stocks in supply chains with evolving forecasts
Onlne Appendx for Sraegc safey socs n supply chans wh evolvng forecass Tor Schoenmeyr Sephen C. Graves Opsolar, Inc. 332 Hunwood Avenue Hayward, CA 94544 A. P. Sloan School of Managemen Massachuses Insue
More informationarxiv: v2 [cond-mat.mes-hall] 19 Jan 2014
A Memory of Majorana Modes hrough Quanum Quench Mng-Chang Chung 1,2, Y-Hao Jhu 3, Pochung Chen 2,3, Chung-Yu Mou 2,3,4 and Xn Wan 5 1 Physcs Deparmen, Naonal Chung-Hsng Unversy, Tachung, 4227, Tawan 2
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationδ N formalism for curvature perturbations
δ N formalsm for curvaure perurbaons from nflaon Msao Sasak Yukawa Insue (YITP) Kyoo Unversy . Inroducon. Lnear perurbaon heory merc perurbaon & me slcng δn N formalsm 3. Nonlnear exenson on superhorzon
More informationExample: MOSFET Amplifier Distortion
4/25/2011 Example MSFET Amplfer Dsoron 1/9 Example: MSFET Amplfer Dsoron Recall hs crcu from a prevous handou: ( ) = I ( ) D D d 15.0 V RD = 5K v ( ) = V v ( ) D o v( ) - K = 2 0.25 ma/v V = 2.0 V 40V.
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationTranscription: Messenger RNA, mrna, is produced and transported to Ribosomes
Quanave Cenral Dogma I Reference hp//book.bonumbers.org Inaon ranscrpon RNA polymerase and ranscrpon Facor (F) s bnds o promoer regon of DNA ranscrpon Meenger RNA, mrna, s produced and ranspored o Rbosomes
More informationTHERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)
Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More informationFall 2010 Graduate Course on Dynamic Learning
Fall 200 Graduae Course on Dynamc Learnng Chaper 4: Parcle Flers Sepember 27, 200 Byoung-Tak Zhang School of Compuer Scence and Engneerng & Cognve Scence and Bran Scence Programs Seoul aonal Unversy hp://b.snu.ac.kr/~bzhang/
More informationDielectrical relaxation dynamics and thermally stimulated depolarization current in polymers
JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS Vol. 9, No. 6, June 2007, p. 1592-1596 Delecrcal relaxaon dynamcs and hermally smulaed depolarzaon curren n polymers S. MINÁRIK *, V. LABAŠ, M. BERKA Deparmen
More informationEcon107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)
Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen
More informationLecture 11 SVM cont
Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc
More informationDirect Current Circuits
Eler urren (hrges n Moon) Eler urren () The ne moun of hrge h psses hrough onduor per un me ny pon. urren s defned s: Dre urren rus = dq d Eler urren s mesured n oulom s per seond or mperes. ( = /s) n
More informationPolitical Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.
Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and
More information