Hiroaki Matsueda (Sendai National College of Tech.)
|
|
- Darleen Collins
- 5 years ago
- Views:
Transcription
1 Jun 2 26@YITP 4-das confrnc: oograph & Quantum Informaton Snapshot ntrop: An atrnatv hoographc ntangmnt ntrop roa atsuda Snda Natona Cog of Tch.
2 Purpos of ths wor Purpos: Stratg: Entangmnt hoograph RG crtcat tpcat SVD snguar vau dcomposton Ta a spn confguraton ont Caro snapshot for 2D cassca Isng & q3 Potts mod SVD for th snapshot matr Cacuat th snapshot ntrop S Drv th scang formua of S as a functon of nar sstm s L What dos ths scang man?
3 ont Caro Smuaton of th 2D Isng od J Cassca Isng Spn od: ± Snapshots at varous tmpraturs j j a T. 52J b T T c 2. 27J c T 3. 2J L 256 2J T c J og 2
4 Crtcat Fracta and amount of nformaton 2D Isng mod J j j fracta- spn structur Tpcat?: A st of parta sstms rough rprsnt th nformaton of a possb thrma fuctuaton. A tpca snapshot of th Isng mod T2.26J Sng Informaton of partton functon
5 Dnst matr of a snapshot A snapshot dtrmnd b ont Caro smuaton ρ Y ρ X atr product trac ovr parta dgr of frdom X Y
6 Λ V U Snguar Vau Dcomposton SVD of matr Ψ Snapshot Data Snapshot Entrop boundar aw not tnsv S S Y X λ λ og Λ Λ λ / Snguar Vau Dcomposton SVD : snguar vau non-ngatv unqu dtrmnd Λ Λ Λ Y X V V U U ρ ρ V U : untar matrcs varous chocs
7 V U Λ L 4 prboc structur hddn n our SVD mthod Phs. Rv. E ± ncodng
8 Scang raton for th snapshot ntrop <S> - /3 n L ncodng <S >/nh TT c..2 /h and D.Oa Phs. Rv. E <S> - /3 n L b - b T/J 2D Isng modc/ T/J 2D 3-stats Potts modc4/5 Scang formua: S og L 3 2 Smar to CFT rsut Orgn of th scang ar numbr of sca dcomposton Consstnt wth RT formua S EE~c S
9 { } { } { } { } { } { } { } { } { } { } { } { } { } { } { } { } βλ β βλ β βλ β βλ β β J J J J Z J λ { } { } βλ βλ A tanh n 2 p A 2βλ snh 2 I R K K A Z p Suu-Trottr dcomposton Trottr formua for non-commutatv oprators A and B B A B A m D transvrs-fd Isng mod 2D cassca Isng mod
10 ± ncodng ε ncodng
11
12 - n λ n a <S> - n L n n - b T/J c d ± ncodng Chng-ua L and Y. ashum 24
13 SVD spctrum agbrac dca nar Tc * ponnt anomaous dmnson f λ n S λ δ λ λ n Aλ χ χ a n n χ η λ n n λ n N n α 2 η α η { γ } n χ n χ N gh-t mt RT S L N S L n L γ γ n n L π 4 Ounsh s wor
14 Tnsor-product constructon of Srpns carpt Factord form h h3 3 unt c h L N Fracta mag L L matr N dffrnt scas
15 SVD spctrum of Srpns carpt γ nγ ± n h c 3 Two non-ro gnvaus of 2 : Γ± 4 ± 2 3 Normaaton of Γ: γ ± ± λ j N j j γ γ Egnvaus of 2 : j γ γ γ γ Dgnrac : C Snapshot ntrop ntangmnt ntrop of D fr frmons N j N j S N C j j n j n N N λ λ γ γ γ nγ j ± ± C..L Y.Yamada K.Kumamoto JPSJ I. Psch J. Phs. A: ath. Gn. 36 L25 23 n n L h
16 Snapshot ntrop as a functon of ar numbr N Numrca cacuaton C..L Y.Yamada K.Kumamoto JPSJ
17 Coars-grand snapshot ntrop C..L Y.Yamada K.Kumamoto JPSJ
18 Fnt-χ scang Fracta dgnrat gnvaus W focus on th frst N-th gnvaus S λ3 λ λ 2 N χ λ 2 λ λog λ og χ 2 m χ λog λ λ 2 og λ 2 S χ S S χ cf. fnt-ntangmnt scang nar D quantum crtcat S χ cκ og χ og χ 6 2 / c Whn w oo at th ovra structur th scang raton sms to b ogarthmc. Thr dffrnc ma com from voaton on fu conforma smmtr on th fracta mag that has just sca nvaranc. χ
19 Summar Th SVD spctra for th snapshots of th 2D Isng & q3 Potts mods rprsnt th nformaton of th two-pont corrator of spns. Thus th SVD data ar good bnchmars for th phas transton. Nar Tc th snapshot ntrop obs th ogarthmc scang whch s consstnt wth th CFT formua. Th SVD data contan th nformaton smar to th hoographc ntrop formua.
Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari
snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd
More informationRelate p and T at equilibrium between two phases. An open system where a new phase may form or a new component can be added
4.3, 4.4 Phas Equlbrum Dtrmn th slops of th f lns Rlat p and at qulbrum btwn two phass ts consdr th Gbbs functon dg η + V Appls to a homognous systm An opn systm whr a nw phas may form or a nw componnt
More informationGrand Canonical Ensemble
Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls
More informationFirst looking at the scalar potential term, suppose that the displacement is given by u = φ. If one can find a scalar φ such that u = φ. u x.
7.4 Eastodynams 7.4. Propagaton of Wavs n East Sods Whn a strss wav travs throgh a matra, t ass matra parts to dspa by. It an b shown that any vtor an b wrttn n th form φ + ra (7.4. whr φ s a saar potnta
More informationLecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation
Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons
More informationProf. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model
EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several
More informationMath 656 March 10, 2011 Midterm Examination Solutions
Math 656 March 0, 0 Mdtrm Eamnaton Soltons (4pts Dr th prsson for snh (arcsnh sng th dfnton of snh w n trms of ponntals, and s t to fnd all als of snh (. Plot ths als as ponts n th compl plan. Mak sr or
More informationZero Point Energy: Thermodynamic Equilibrium and Planck Radiation Law
Gaug Institut Journa Vo. No 4, Novmbr 005, Zro Point Enrgy: Thrmodynamic Equiibrium and Panck Radiation Law Novmbr, 005 vick@adnc.com Abstract: In a rcnt papr, w provd that Panck s radiation aw with zro
More information8-node quadrilateral element. Numerical integration
Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll
More informationAPPENDIX H CONSTANT VOLTAGE BEHIND TRANSIENT REACTANCE GENERATOR MODEL
APPNDIX H CONSAN VOAG BHIND RANSIN RACANC GNRAOR MOD h mprov two gnrator mo uss th constant votag bhn transnt ractanc gnrator mo. hs mo gnors magntc sancy; assums th opratng ractanc of th gnrator s th
More informationarxiv: v3 [cond-mat.str-el] 15 Oct 2009
Second Renormazaton of Tensor-Networ States Z. Y. Xe 1, H. C. Jang 2, Q. N. Chen 1, Z. Y. Weng 2, and T. Xang 3,1 1 Insttute of Theoretca Physcs, Chnese Academy of Scences, P.O. Box 2735, Beng 100190,
More informationGREENBERGER- HORNE- ZEILINGER (GHZ) STATES IN QUANTUM DOT MOLECULE
GREENERGER- ORNE- ZEILINGER (GZ) STATES IN QUANTUM DOT MOLECULE A. SARMA and P. AWRYLAK QUANTUM TEORY GROUP INSTITUTE FOR MICROSTRUCTURAL SCIENCES NATIONAL RESEARC COUNCIL OF CANADA OTTAWA, KAOR,CANADA
More informationJones vector & matrices
Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o
More informationThe Fourier Transform
/9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.
More informationLECTURE 21 Mohr s Method for Calculation of General Displacements. 1 The Reciprocal Theorem
V. DEMENKO MECHANICS OF MATERIALS 05 LECTURE Mohr s Method for Cacuaton of Genera Dspacements The Recproca Theorem The recproca theorem s one of the genera theorems of strength of materas. It foows drect
More informationOutlier-tolerant parameter estimation
Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln
More informationCOMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP
ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng
More informationPhysics 256: Lecture 2. Physics
Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur
More informationStatic/Dynamic Deformation with Finite Element Method. Graphics & Media Lab Seoul National University
Statc/Dynamc Dormaton wth Fnt Elmnt Mthod Graphcs & Mda Lab Sol Natonal Unvrsty Statc/Dynamc Dormaton Statc dormaton Dynamc dormaton ndormd shap ntrnal + = nrta = trnal dormd shap statc qlbrm dynamc qlbrm
More informationObjective: To supply the basic knowledge and skills required for understanding and simple practical applications of FEM
Pag of 89 Cours Tt: FINITE ELEMENT METHOD I Typ of cours: undrgraduat, graduat Fd of study (Programm), spcazaton Arospac Engnrng, Powr Engnrng, Robotcs, Computr Add Engnrng Format Lcturs: Laboratory: Prvat
More informationFACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP
C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class
More informationA Note on Estimability in Linear Models
Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,
More informationStudy of Dynamic Aperture for PETRA III Ring K. Balewski, W. Brefeld, W. Decking, Y. Li DESY
Stud of Dnamc Aprtur for PETRA III Rng K. Balws, W. Brfld, W. Dcng, Y. L DESY FLS6 Hamburg PETRA III Yong-Jun L t al. Ovrvw Introducton Dnamcs of dampng wgglrs hoc of machn tuns, and optmzaton of stupol
More informationA Probabilistic Characterization of Simulation Model Uncertainties
A Proalstc Charactrzaton of Sulaton Modl Uncrtants Vctor Ontvros Mohaad Modarrs Cntr for Rsk and Rlalty Unvrsty of Maryland 1 Introducton Thr s uncrtanty n odl prdctons as wll as uncrtanty n xprnts Th
More informationCHAPTER 7d. DIFFERENTIATION AND INTEGRATION
CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and
More information10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D
Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav
More informationSharpening Occam s razor with Quantum Mechanics
harpenng Occam s razor wth Quantum Mechancs IA Journal Club Matteo Marcuzz 8th Aprl, 2011 Descrbng ystems Clausus Nclas Tyge Kopperngck Ptolemaeus Brahe (Coperncus) (Tychons) (Ptolemy) Descrbng ystems
More information[WAVES] 1. Waves and wave forces. Definition of waves
1. Waves and forces Defnton of s In the smuatons on ong-crested s are consdered. The drecton of these s (μ) s defned as sketched beow n the goba co-ordnate sstem: North West East South The eevaton can
More information4D SIMPLICIAL QUANTUM GRAVITY
T.YUKAWA and S.HORATA Soknda/KEK D SIMPLICIAL QUATUM GRAITY Plan of th talk Rvw of th D slcal quantu gravty Rvw of nurcal thods urcal rsult and dscusson Whr dos th slcal quantu gravty stand? In short dstanc
More informationStatistical Thermodynamics Essential Concepts. (Boltzmann Population, Partition Functions, Entropy, Enthalpy, Free Energy) - lecture 5 -
Statstcal Thrmodyamcs sstal Cocpts (Boltzma Populato, Partto Fuctos, tropy, thalpy, Fr rgy) - lctur 5 - uatum mchacs of atoms ad molculs STATISTICAL MCHANICS ulbrum Proprts: Thrmodyamcs MACROSCOPIC Proprts
More informationRigid body simulation
Rgd bod smulaton Rgd bod smulaton Once we consder an object wth spacal etent, partcle sstem smulaton s no longer suffcent Problems Problems Unconstraned sstem rotatonal moton torques and angular momentum
More informationThe Hyperelastic material is examined in this section.
4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):
More informationPerron Vectors of an Irreducible Nonnegative Interval Matrix
Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of
More informationWORM ALGORITHM NASA. ISSP, August Nikolay Prokofiev, Umass, Amherst. Boris Svistunov, Umass, Amherst Igor Tupitsyn, PITP, Vancouver
WOR ALGORITH asha kolay Prokofev, Umass, Amherst Ira Bors Svstunov, Umass, Amherst Igor Tuptsyn, PITP, Vancouver Vladmr Kashurnkov, EPI, oscow assmo Bonnsegn, UAlberta, Edmonton Evgen Burovsk, Umass, Amherst
More informationGreenfield Wind Farm. Visual Simulation 1. Affinity Renewables Inc. Figure As viewed from Trans Canada Highway 104.
Affinity Rnwabls Inc. Figur 6.12 Grnfil Win Farm Visual Simulation 1 As viw from Trans Canaa Highway 104 Easting: 487,437 Northing: 5,029,060 Photograph Dat: Octobr 28, 2013 Viw Angl: 163 Dgrs Imag Manufacturr:
More informationSeptember 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline
Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons
More informationCOXREG. Estimation (1)
COXREG Cox (972) frst suggested the modes n whch factors reated to fetme have a mutpcatve effect on the hazard functon. These modes are caed proportona hazards (PH) modes. Under the proportona hazards
More information176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s
A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps
More informationChapter 6 Student Lecture Notes 6-1
Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn
More information??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time.
Elctroncphalography EEG Dynamc Causal Modllng for M/EEG ampltud μv tm ms tral typ 1 tm channls channls tral typ 2 C. Phllps, Cntr d Rchrchs du Cyclotron, ULg, Blgum Basd on slds from: S. Kbl M/EEG analyss
More informationfiziks Institute for NET/JRF, GATE, IIT JAM, M.Sc. Entrance, JEST, TIFR and GRE in Physics Thermodynamics & Statistical Mechanics JEST-2012
Q. monatomc dal gas at hrmodynamcs & Statstcal Mchancs JS- volum. h tmpratur aftr comprsson s ns. : (d) Soluton:. C (b) P costant, P R 7 C s adabatcally comprssd to /8 of ts orgnal 7 C (c).5 C (d) costant
More informationWhy is a E&M nature of light not sufficient to explain experiments?
1 Th wird world of photons Why is a E&M natur of light not sufficint to xplain xprimnts? Do photons xist? Som quantum proprtis of photons 2 Black body radiation Stfan s law: Enrgy/ ara/ tim = Win s displacmnt
More informationTuring Machines (intro)
CHAPTER 3 The Church-Turng Thess Contents Turng Machnes defntons, examples, Turng-recognzable and Turng-decdable languages Varants of Turng Machne Multtape Turng machnes, non-determnstc Turng Machnes,
More informationNested case-control and case-cohort studies
Outne: Nested case-contro and case-cohort studes Ørnuf Borgan Department of Mathematcs Unversty of Oso NORBIS course Unversty of Oso 4-8 December 217 1 Radaton and breast cancer data Nested case contro
More informationAndre Schneider P622
Andre Schneder P6 Probem Set #0 March, 00 Srednc 7. Suppose that we have a theory wth Negectng the hgher order terms, show that Souton Knowng β(α and γ m (α we can wrte β(α =b α O(α 3 (. γ m (α =c α O(α
More information4.8 Huffman Codes. Wordle. Encoding Text. Encoding Text. Prefix Codes. Encoding Text
2/26/2 Word A word a word coag. A word contrctd ot of on of th ntrctor ar: 4.8 Hffan Cod word contrctd ng th java at at word.nt word a randozd grdy agorth to ov th ackng rob Encodng Txt Q. Gvn a txt that
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More information22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.
Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M
More information2.8 Variational Approach in Finite Element Formulation [Bathe P ] Principle of Minimum Total Potential Energy
.8 Varatona Approach n Fnt Emnt Formuaton [Bath P.-6] In unrstanng th phnomna occurrng n natur, w ar qut us to ffrnta quatons to scrb th phnomna mathmatca bas on basc phsca prncps, nam consrvaton aws n
More information763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.
7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)
More informationInstituto Tecnológico de Aeronáutica FINITE ELEMENTS I. Class notes AE-245
Insttuto Tecnológco de Aeronáutca FIITE ELEMETS I Class notes AE-5 Insttuto Tecnológco de Aeronáutca 5. Isoparametrc Elements AE-5 Insttuto Tecnológco de Aeronáutca ISOPARAMETRIC ELEMETS Introducton What
More informationA Minimal Composite Goldstone Higgs model
A Minimal Composite Goldstone Higgs model Lattice for BSM Physics 2017, Boston University Plan of the talk Introduction to composite Goldstone Higgs models Lattice results for the SU(2) Goldstone Higgs
More informationSoft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D
Comp 35 Machn Larnng Computr Scnc Tufts Unvrsty Fall 207 Ron Khardon Th EM Algorthm Mxtur Modls Sm-Suprvsd Larnng Soft k-mans Clustrng ck k clustr cntrs : Assocat xampls wth cntrs p,j ~~ smlarty b/w cntr
More informationA Quick introduction to Quantum Monte Carlo methods
A Quck ntroducton to Quantum Mont Carlo mthods Fabn Alt LPT, Unv. Paul abatr Toulous Contact : alt@rsamc.us-tls.fr ALP Tutoral PI 08/09/006 Quantum Mont Carlo What s Quantum Mont Carlo (QMC)? Most gnral
More informationSome Useful Formulae
ME - hrmodynamcs I Som Usful Formula Control Mass Contnuty Equaton m constant Frst Law Comprsson-xpanson wor U U m V V mg Z Z Q W For polytropc procs, PV n c, Scond Law W W PdV P V P V n n P V ln V V n
More informationIntroduction to Condensed Matter Physics
Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at
More informationEpistemic Foundations of Game Theory. Lecture 1
Royal Nthrlands cadmy of rts and Scncs (KNW) Mastr Class mstrdam, Fbruary 8th, 2007 Epstmc Foundatons of Gam Thory Lctur Gacomo onanno (http://www.con.ucdavs.du/faculty/bonanno/) QUESTION: What stratgs
More informationEigenvalue Distributions of Quark Matrix at Finite Isospin Chemical Potential
Tim: Tusday, 5: Room: Chsapak A Eignvalu Distributions of Quark Matri at Finit Isospin Chmical Potntial Prsntr: Yuji Sasai Tsuyama National Collg of Tchnology Co-authors: Grnot Akmann, Atsushi Nakamura
More informationAddition of angular momentum
Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat
More informationVII. Quantum Entanglement
VII. Quantum Entanglmnt Quantum ntanglmnt is a uniqu stat of quantum suprposition. It has bn studid mainly from a scintific intrst as an vidnc of quantum mchanics. Rcntly, it is also bing studid as a basic
More informationRG treatment of an Ising chain with long range interactions
RG treatment of an Isng chan wth long range nteractons Davd Ramrez Department of Physcs Undergraduate Massachusetts Insttute of Technology, Cambrdge, MA 039, USA An analyss of a one-dmensonal Isng model
More informationCircular Wilson loop operator and master field
YITP wor shop Dvlopmnt of Quantum Fld Thory and trng Thory Crcular Wlson loop oprator and mastr fld hoch Kawamoto OCAMI, Osaa Cty Unvrsty atonal Tawan ormal Unvrsty from August Wth T. Kuro Ryo and A. Mwa
More informationCHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION
CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr
More information( ) [ ( k) ( k) ( x) ( ) ( ) ( ) [ ] ξ [ ] [ ] [ ] ( )( ) i ( ) ( )( ) 2! ( ) = ( ) 3 Interpolation. Polynomial Approximation.
3 Interpolaton {( y } Gven:,,,,,, [ ] Fnd: y for some Mn, Ma Polynomal Appromaton Theorem (Weerstrass Appromaton Theorem --- estence ε [ ab] f( P( , then there ests a polynomal
More informationPower Spectrum Estimation of Stochastic Stationary Signals
ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:
More informationElements of Statistical Thermodynamics
24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,
More informationMATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS
MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples
More informationAddition of angular momentum
Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th
More informationHowever, since P is a symmetric idempotent matrix, of P are either 0 or 1 [Eigen-values
Fall 007 Soluton to Mdterm Examnaton STAT 7 Dr. Goel. [0 ponts] For the general lnear model = X + ε, wth uncorrelated errors havng mean zero and varance σ, suppose that the desgn matrx X s not necessarly
More informationProblem Set #6 solution, Chem 340, Fall 2013 Due Friday, Oct 11, 2013 Please show all work for credit
Problem Set #6 soluton, Chem 340, Fall 2013 Due Frday, Oct 11, 2013 Please show all work for credt To hand n: Atkns Chap 3 Exercses: 3.3(b), 3.8(b), 3.13(b), 3.15(b) Problems: 3.1, 3.12, 3.36, 3.43 Engel
More informationName: Jeffy We have already seen the document object and written HTML directly into it.
C3E3 -- Vsua Programmng Envronmnts Programmng n Javacrpt -- cont Mscanous Matra -- mor on objcts Usr-Dfn J objcts us a functon to crat th cass tmpat thn us th constructor, nw, to crat th objct nstanc s
More informationAs the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.
7636S ADVANCED QUANTUM MECHANICS Solutions Spring. Considr a thr dimnsional kt spac. If a crtain st of orthonormal kts, say, and 3 ar usd as th bas kts, thn th oprators A and B ar rprsntd by a b A a and
More informationExercises for lectures 7 Steady state, tracking and disturbance rejection
Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by
More informationWORM ALGORITHM. Nikolay Prokofiev, Umass, Amherst. Boris Svistunov, Umass, Amherst Igor Tupitsyn, PITP, Vancouver
WOR ALGORTH Nkolay Prokofev, Umass, Amherst asha ra Bors Svstunov, Umass, Amherst gor Tuptsyn, PTP, Vancouver assmo Bonnsegn, UAlerta, Edmonton Los Angeles, January 23, 2006 Why other wth algorthms? Effcency
More informationPhenotypic factor analysis. Conor Dolan, Mike Neale, & Michel Nivard
Pnotpc factor anass Conor Doan, Mk Na, & Mc Nvard Factor anass Part I: T nar factor mod as a statstca (rgrsson) mod - forma rprsntaton as a causa pscomtrc - mod (vs data rducton) - wat s a common factor
More informationA general N-dimensional vector consists of N values. They can be arranged as a column or a row and can be real or complex.
Lnr lgr Vctors gnrl -dmnsonl ctor conssts of lus h cn rrngd s column or row nd cn rl or compl Rcll -dmnsonl ctor cn rprsnt poston, loct, or cclrton Lt & k,, unt ctors long,, & rspctl nd lt k h th componnts
More informationFr Carrir : Carrir onntrations as a funtion of tmpratur in intrinsi S/C s. o n = f(t) o p = f(t) W will find that: n = NN i v g W want to dtrmin how m
MS 0-C 40 Intrinsi Smiondutors Bill Knowlton Fr Carrir find n and p for intrinsi (undopd) S/Cs Plots: o g() o f() o n( g ) & p() Arrhnius Bhavior Fr Carrir : Carrir onntrations as a funtion of tmpratur
More informationField and Wave Electromagnetic. Chapter.4
Fel an Wave Electromagnetc Chapter.4 Soluton of electrostatc Problems Posson s s an Laplace s Equatons D = ρ E = E = V D = ε E : Two funamental equatons for electrostatc problem Where, V s scalar electrc
More information5 questions, 3 points each, 15 points total possible. 26 Fe Cu Ni Co Pd Ag Ru 101.
Physical Chemistry II Lab CHEM 4644 spring 2017 final exam KEY 5 questions, 3 points each, 15 points total possible h = 6.626 10-34 J s c = 3.00 10 8 m/s 1 GHz = 10 9 s -1. B= h 8π 2 I ν= 1 2 π k μ 6 P
More informationDeconfinement phase transition in SU(3)/Z3 QCD (adj) via the gauge theory/affine XY-model duality
Dconfnmnt phas transton n SU(3)/Z3 QCD (adj) va th gaug thory/affn XY-modl dualty MOHAMED ABER UIVERSITY OF TOROTO TH W O R K S H O P O O - P E R T U R B A T I V E Q C D M.A., Erch Popptz, Mthat Unsal
More informationBoundary Value Problems. Lecture Objectives. Ch. 27
Boundar Vaue Probes Ch. 7 Lecture Obectves o understand the dfference between an nta vaue and boundar vaue ODE o be abe to understand when and how to app the shootng ethod and FD ethod. o understand what
More informationWhy switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i
Modlaton Indtral Elctrcal Engnrng and Atomaton Lnd nvrty, Swdn Why wtchng? Contno amplfr hav low ffcncy a b Contno wtch pt ( t ) = pn( t) = ( a b) Antag : ( a b) = Pn = Pt η = = = Pn Swtchng amp. Lo Convrtr
More informationPolynomials. 1 More properties of polynomials
Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a
More informationπ e ax2 dx = x 2 e ax2 dx or x 3 e ax2 dx = 1 x 4 e ax2 dx = 3 π 8a 5/2 (a) We are considering the Maxwell velocity distribution function: 2πτ/m
Homework Solutons Problem In solvng ths problem, we wll need to calculate some moments of the Gaussan dstrbuton. The brute-force method s to ntegrate by parts but there s a nce trck. The followng ntegrals
More informationApplied Stochastic Processes
STAT455/855 Fall 23 Appled Stochastc Processes Fnal Exam, Bref Solutons 1. (15 marks) (a) (7 marks) The dstrbuton of Y s gven by ( ) ( ) y 2 1 5 P (Y y) for y 2, 3,... The above follows because each of
More informationactuary )uj, problem L It X Projection approximation Orthogonal subspace of !- ( iii. ( run projection of Pcxzll rim orthogonal ( Nuu, y H, ye W )
dmensonal ( Note thot rm t w ; n ( ( run u! ( t E 21 k f } actuary uj n ( Nuu h rate h Hutt O Snce when Truth Klment we also have wht Lu te It k} Orthogonal Projecton let W be an un subspace a Eucldean
More informationPHASE TRANSITION IN THE ISING MODEL
PHASE TRANSITION IN THE ISING MODEL 1. The Isng Model The Isng model s a crude but extremely mportant mathematcal model of a ferromagnetc metal ntroduced by Isng about 70 years ago. Its mportance stems
More informationCLASSICAL STATISTICS OF PARAMAGNETISM
Prof. Dr. I. assr Phys 530 8-Dc_0 CLASSICAL STATISTICS OF PARAMAGETISM Th most famous typs of Magntc matrals ar: () Paramagntc: A proprty xhbt by substancs whch, whn placd n a magntc fld, ar magntd paralll
More informationFolding of Regular CW-Complexes
Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty
More informationST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous
ST 54 NCSU - Fall 008 On way Analyss of varanc Varancs not homognous On way Analyss of varanc Exampl (Yandll, 997) A plant scntst masurd th concntraton of a partcular vrus n plant sap usng ELISA (nzym-lnkd
More informationScale-invariant Feature Extraction of Neural Network and Renormalization Group Flow
KEK-TH-2029 arxv:1801.07172v1 [hep-th] 22 Jan 2018 Scale-nvarant Feature Extracton of Neural Network and Renormalzaton Group Flow Satosh Iso a,b, Shotaro Shba a and Sumto Yokoo a,b a Theory Center, Hgh
More informationAS 5850 Finite Element Analysis
AS 5850 Finit Elmnt Analysis Two-Dimnsional Linar Elasticity Instructor Prof. IIT Madras Equations of Plan Elasticity - 1 displacmnt fild strain- displacmnt rlations (infinitsimal strain) in matrix form
More informationThe failure of the classical mechanics
h failur of th classical mchanics W rviw som xprimntal vidncs showing that svral concpts of classical mchanics cannot b applid. - h blac-body radiation. - Atomic and molcular spctra. - h particl-li charactr
More informationSHANGHAI JIAO TONG UNIVERSITY LECTURE
Lecture 7 SHANGHAI JIAO TONG UNIVERSITY LECTURE 7 017 Anthony J. Leggett Department of Physics University of Illinois at Urbana-Champaign, USA and Director, Center for Complex Physics Shanghai Jiao Tong
More information1- Summary of Kinetic Theory of Gases
Dr. Kasra Etmad Octobr 5, 011 1- Summary of Kntc Thory of Gass - Radaton 3- E4 4- Plasma Proprts f(v f ( v m 4 ( kt 3/ v xp( mv kt V v v m v 1 rms V kt v m ( m 1/ v 8kT m 3kT v rms ( m 1/ E3: Prcntag of
More informationSISO Algorithms for the Nordstrom-Robinson code
SISO Algorthms for the Nordstrom-Robnson code Yannck Saouter, LABSTICC, Brest, France. Insttut Mnes-Télécom 04, August 8th ISTC 04, Bremen, Germany. An hstorcal note Robnson noted, for bnary codes of length
More informationText: WMM, Chapter 5. Sections , ,
Lcturs 6 - Continuous Probabilit Distributions Tt: WMM, Chaptr 5. Sctions 6.-6.4, 6.6-6.8, 7.-7. In th prvious sction, w introduc som of th common probabilit distribution functions (PDFs) for discrt sampl
More informationEML 5223 Structural Dynamics HW 10. Gun Lee(UFID )
E 5 Structural Dynamcs HW Gun ee(ufid895-47) Problem 9. ubular shaft of radus r ( ) r[ + ( )/ ], thcknesst, mass per unt volume ρ and shear modulus G. t r( ). Shaft s symmetrc wth respect to /. ass moment
More informationINVARIANT STABLY COMPLEX STRUCTURES ON TOPOLOGICAL TORIC MANIFOLDS
INVARIANT STABLY COMPLEX STRUCTURES ON TOPOLOGICAL TORIC MANIFOLDS HIROAKI ISHIDA Abstract We show that any (C ) n -nvarant stably complex structure on a topologcal torc manfold of dmenson 2n s ntegrable
More informationThermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak
Thermodynamcs II Department o Chemca ngneerng ro. Km, Jong Hak .5 Fugacty & Fugacty Coecent : ure Speces µ > provdes undamenta crteron or phase equbrum not easy to appy to sove probem Lmtaton o gn (.9
More information