BLOWUPS IN GAUGE AND CONSTRAINT MODES. Bernd Reimann, AEI in collaboration with M. Alcubierre, ICN (Mexico)

Size: px
Start display at page:

Download "BLOWUPS IN GAUGE AND CONSTRAINT MODES. Bernd Reimann, AEI in collaboration with M. Alcubierre, ICN (Mexico)"

Transcription

1 BLOWUPS IN GAUGE AND CONSTRAINT MODES Bernd Remnn, AEI n ollboron M. Aluberre, ICN (Mexo) Jen, Jnury 30, 006 1

2 Tops Pologes ( soks nd bloups ) n sysems of PDEs Te soure rer for vodng bloups Evoluon Sysem: Guge: Generlzed rmon lpse nd sf Evoluon equons: Adjused ADM sysem Ensen equons n sperl symmery nd smplfed 3+1 se Anlyss Numerl resuls: Bloups n e lpse nd sf modes Bloups n e onsrn modes

3 Pologes for Sysems of PDEs We sudy (n 1+1 dmensons) e Cuy problem for srongly yperbol sysems of PDEs su s u & u p( u, v), A( u) v q( u, v). v x Here nd re veor-vlued funons, nd e prnpl pr A s srongly yperbol mrx n be dgonlzed o v R ere re s rel egenvlues. We en nrodue e egenfelds For sysems of PDEs velke rer, o knd of pologes n our: (S. Aln: Bloup for Nonlner Hyperbol Equons, 95) 1 AR dg[ 1 m], Grden srope / Sok : Due o rossng of rerss, dervves of evoluon vrbles beome nfne. (P. Lx: Hyperbol Sysems of Conservon Ls nd e Meml Teory of Sok Wves, 73; M. Aluberre: Te Apperne of Coordne Soks n Hyperbol Formulons of GR, 97) ODE-Mensm / Bloup n fne me : Here egenfelds blo up long er rerss due o qudr soure erms. (F. Jon: Nonlner Wve Equons, Formon of Sngulres, 79; Remnn e l.: Guge nd onsrn soks n one-dmensonl numerl relvy, 05) R 1 v. 3

4 ODE-Mensm nd Soure Crer Vrbles blo up n fne me due o self-nrese n er domn of nfluene. Exmple: Te soluon o e ODE, blos up e me unless Generlzng s de o e prevous sysem of PDEs, one fnds en rng e evoluon of e mn sysem n erms of egenfelds. In prulr, for e dervve long rers follos For lolzed perurbons rvelng dfferen speeds, our soure rer yelds: If lso mxed erms ( ) 1 0 jk x x j k j, k jk 0., q( u, ) j Ο( ) re mporn, e ry n ddon o se k jk 4. 0.

5 Guge: Generlzed Hrmon Coordnes Hrmon oordnes re defned by skng for n dped oordnes yelds e yperbol evoluon equons for e lpse nd e resled sf A generlzon of su oordnes, so-lled generlzed rmon oordnes, s proposed by Bon e l. for e me oordne ( Bon-Mssó-Lpse ) nd n M. Aluberre, A. Cor, J.A. González, D. Nuñez, B. Remnn nd M. Slgdo: Generlzed rmon oordnes nd yperbol sf ondons, 05 for e spl oordnes: Demndng one obns, x g An n 0 f() K K g K /. 1/ f() 1 A 1/ () 1 () (3) f (3) K. 0, 0 {1,,3} 5

6 Evoluon Equons: Adjused ADM sysem For e evoluon sysem e use e ADM-sysem n e verson of J. York, yelds for e 3+1 spl e onsrn equons H M R K ogeer e evoluon equons ( ( L L ) j ) K j K j j j K for e 3-mer j nd e exrns urvure Ts se of equons, oever, s no srongly yperbol. For s reson e djus e evoluon equons for e K s by ddng e Hmlonn onsrn Here e s re rbrry funons (noe e do no demnd ). j j K j ( R j K j j K KK. K j ( L ) K H... j j 0 j 0 K k K k j ) j j 6

7 f f For e lpse egenfeld rvelng egenspeed f e fnd f ons f 1 f f ' "mxed erms", ons / "mxed erms". : 0 Demndng ese oeffens vns, e obn (). nd In order o elmne n ddon e mxed soure erms, f urns ou s needed. Wen pplyng e ndre lner degenery rer, M. Aluberre n 96 obned e sme ondon (*) for e vodne of soks. Furermore, e soed 1+log slng f / s n pproxme. soluon o (*) f 1. Guge Bloups : 0 (*) nd smlrly for e sf egenfeld egenspeed e nfer f 1 ons / f 7

8 Numerl Resuls: Guge Bloup Inl d: Mnkosk mer n 1+1 dmensons n non-rvl oordnes Evoluon: Generlzed rmon lpse nd sf f = f 0 = ons nd = 0 = ons f =1 s preferred f =1 = f =1 s preferred mxed erms f ± ± re smll sne egenspeeds λf ± nd λ ± re que dfferen 8

9 In ddon o guge nd pysl modes, ere re modes reled o e volon of e onsrns. Bloups n su onsrn modes n be voded by modfyng e evoluon sysem. Wen rryng ou e nlyss n sperl symmery, e onsrn modes ve egenvlues ( (1/ ) g ), nd e sysem s srongly rr yperbol f 1/, 0. Seng n ons e qudr soure erm o 0, e obn evoluon sysems vod bloups f rk Smlrly, for smplfed 3+1 se (only dependeny on x, negleng off-dgonl mer omponens, no sf), e obned e onsrn modes rvel egenspeeds 1 ( yy zz ) g xx, ere yy zz 0,( f 1) / mus old. From ons follos for e vodne of bloups: Consrn Bloups 1 3 / "mxed erms" rk f 1 "mxed erms" x xx xx yy. zz 1 yy yy zz zz. 9

10 Numerl Resuls: Consrn Bloup (sperl symmery) Consrn-volng nl d: Perurbed Mnkosk mer n sperl symmery Evoluon: djused ADM + rmon slng (f =1) + vnsng sf sndrd ADM bloup-vodng fmly of djusmens rk 3 ere 1/,

11 Numerl Resuls: Consrn Bloup (smplfed 3+1 se) Consrn-volng nl d: Perurbed Mnkosk mer, y=z, only dependeny on x, negleng off-dgonl mer omponens Evoluon: djused ADM + rmon slng + zero sf bloup-vodng fmly of djusmens sndrd ADM / ere yy 1/ 4, 0 xx 1 yy yy 11

12 Conlusons In srongly yperbol sysems of PDEs, pologes n nd do rse: grden srope => soks ODE-mensm => bloups n fne me In order o vod ose, e proposed nd dsussed ondons: ndre lner degenery soure rer For Ensen s equons usng generlzed rmon guge, lredy n 1+1dmensons guge pologes our. In more spl dmensons, n ddon onsrn pologes rse. Hoever, usng good guge oes nd ddng onsrns n suble y o evoluon equons, one n obn velke evoluons ou soks nd bloups. Te nlyss s no ye been rred ou n full 3+1 dmensons, bu for evoluon sysems n numerl relvy s ler one sould use: srongly yperbol prnpl pr + bloup-vodng soure erms 1

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as:

Stability Analysis for VAR systems. )', a VAR model of order p (VAR(p)) can be written as: Sbl Anlss for VAR ssems For se of n me seres vrbles (,,, n ', VAR model of order p (VAR(p n be wren s: ( A + A + + Ap p + u where he A s re (nxn oeffen mres nd u ( u, u,, un ' s n unobservble d zero men

More information

Jordan Journal of Physics

Jordan Journal of Physics Volume, Number, 00. pp. 47-54 RTICLE Jordn Journl of Physcs Frconl Cnoncl Qunzon of he Free Elecromgnec Lgrngn ensy E. K. Jrd, R. S. w b nd J. M. Khlfeh eprmen of Physcs, Unversy of Jordn, 94 mmn, Jordn.

More information

Output equals aggregate demand, an equilibrium condition Definition of aggregate demand Consumption function, c

Output 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 information

Generation of Crowned Parabolic Novikov gears

Generation of Crowned Parabolic Novikov gears Engneerng Leers, 5:, EL_5 4 Generon o Crowned Prol Novkov gers Somer M. Ny, Memer, IAENG, Mohmmd Q. Adullh, nd Mohmmed N.Mohmmed Asr - The Wldher-Novkov ger s one o he rulr r gers, whh hs he lrge on re

More information

Probabilistic Graphical Models

Probabilistic Graphical Models Shool o Comuer Sene Probbls Grhl Models Mmum lkelhood lernng o undreed GM Er Xng Leure 8 Februry 0 04 Redng: MJ Ch 9 nd Er Xng @ CMU 005-04 Undreed Grhl Models Why? Somemes n UNDIRECTED ssoon grh mkes

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use

More information

Power Series Solutions for Nonlinear Systems. of Partial Differential Equations

Power Series Solutions for Nonlinear Systems. of Partial Differential Equations Appled Mhemcl Scences, Vol. 6, 1, no. 14, 5147-5159 Power Seres Soluons for Nonlner Sysems of Prl Dfferenl Equons Amen S. Nuser Jordn Unversy of Scence nd Technology P. O. Bo 33, Irbd, 11, Jordn nuser@us.edu.o

More information

û s L u t 0 s a ; i.e., û s 0

û s L u t 0 s a ; i.e., û s 0 Te Hille-Yosida Teorem We ave seen a wen e absrac IVP is uniquely solvable en e soluion operaor defines a semigroup of bounded operaors. We ave no ye discussed e condiions under wic e IVP is uniquely solvable.

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

Pendulum Dynamics. = Ft tangential direction (2) radial direction (1)

Pendulum 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 information

Active Vibration Control of Sandwich FGM Beam with Piezoelectric Sensor/Actuator

Active Vibration Control of Sandwich FGM Beam with Piezoelectric Sensor/Actuator Inernonl Journl of led Engneerng Reserh ISSN 973-456 olume, Number (7) 9338-9345 Reserh Ind Publons h://wwwrublonom ve bron Conrol of Sndwh FGM Bem wh Peoeler Sensor/uor K El Hr, M Snb, Med Rhmoune 3,

More information

Lump Solutions to a Jimbo-Miwa Like Equations

Lump Solutions to a Jimbo-Miwa Like Equations Lump Soluons o Jmbo-Mw Lke Equons Hrun-Or-Roshd * M. Zulkr Al b Deprmen o Mhemcs Pbn Unvers o Scence nd Technolog Bngldesh b Deprmen o Mhemcs Rjshh Unvers Bngldesh * Eml: hrunorroshdmd@gml.com Absrc A

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

A 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 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 information

MODELLING AND EXPERIMENTAL ANALYSIS OF MOTORCYCLE DYNAMICS USING MATLAB

MODELLING AND EXPERIMENTAL ANALYSIS OF MOTORCYCLE DYNAMICS USING MATLAB MODELLING AND EXPERIMENTAL ANALYSIS OF MOTORCYCLE DYNAMICS USING MATLAB P. Florn, P. Vrání, R. Čermá Fculy of Mechncl Engneerng, Unversy of Wes Bohem Asrc The frs pr of hs pper s devoed o mhemcl modellng

More information

Two Posts to Fill On School Board

Two Posts to Fill On School Board Y Y 9 86 4 4 qz 86 x : ( ) z 7 854 Y x 4 z z x x 4 87 88 Y 5 x q x 8 Y 8 x x : 6 ; : 5 x ; 4 ( z ; ( ) ) x ; z 94 ; x 3 3 3 5 94 ; ; ; ; 3 x : 5 89 q ; ; x ; x ; ; x : ; ; ; ; ; ; 87 47% : () : / : 83

More information

Acoustic and flexural wave energy conservation for a thin plate in a fluid

Acoustic and flexural wave energy conservation for a thin plate in a fluid cousc nd fleurl wve energy conservon for hn ple n flud rryl MCMHON 1 Mrme vson efence Scence nd Technology Orgnson HMS Srlng W usrl STRCT lhough he equons of fleurl wve moon for hn ple n vcuum nd flud

More information

Research Article Boltzmann s Six-Moment One-Dimensional Nonlinear System Equations with the Maxwell-Auzhan Boundary Conditions

Research Article Boltzmann s Six-Moment One-Dimensional Nonlinear System Equations with the Maxwell-Auzhan Boundary Conditions Hndw Publshng Corporon Journl of Appled Mhemcs Volume 216, Arcle ID 583462, 8 pges hp://dx.do.org/1.1155/216/583462 Reserch Arcle Bolzmnn s Sx-Momen One-Dmensonl Nonlner Sysem Equons wh he Mxwell-Auzhn

More information

Advanced Electromechanical Systems (ELE 847)

Advanced Electromechanical Systems (ELE 847) (ELE 847) Dr. Smr ouro-rener Topc 1.4: DC moor speed conrol Torono, 2009 Moor Speed Conrol (open loop conrol) Consder he followng crcu dgrm n V n V bn T1 T 5 T3 V dc r L AA e r f L FF f o V f V cn T 4

More information

Contact interaction of flexible Timoshenko beams with small deflections

Contact interaction of flexible Timoshenko beams with small deflections Jornl of Pyss: Conferene Seres PAPER OPEN ACCESS Con neron of fleble Tmosenko bems smll defleons To e s rle: I V Pkov e l 8 J. Pys.: Conf. Ser. 9 87 Ve e rle onlne for des nd ennemens. Ts onen s donloded

More information

UNIVERSAL BOUNDS FOR EIGENVALUES OF FOURTH-ORDER WEIGHTED POLYNOMIAL OPERATOR ON DOMAINS IN COMPLEX PROJECTIVE SPACES

UNIVERSAL BOUNDS FOR EIGENVALUES OF FOURTH-ORDER WEIGHTED POLYNOMIAL OPERATOR ON DOMAINS IN COMPLEX PROJECTIVE SPACES wwwrresscom/volmes/vol7isse/ijrras_7 df UNIVERSAL BOUNDS FOR EIGENVALUES OF FOURTH-ORDER WEIGHTED POLYNOIAL OPERATOR ON DOAINS IN COPLEX PROJECTIVE SPACES D Feng & L Ynl * Scool of emcs nd Pyscs Scence

More information

Regularization and Stabilization of the Rectangle Descriptor Decentralized Control Systems by Dynamic Compensator

Regularization 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 information

CHAPTER 10: LINEAR DISCRIMINATION

CHAPTER 10: LINEAR DISCRIMINATION CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g

More information

SEISMIC RESPONSE ANALYSIS FOR TELECOMMUNICATION TOWERS BUILT ON THE BUILDING

SEISMIC RESPONSE ANALYSIS FOR TELECOMMUNICATION TOWERS BUILT ON THE BUILDING SEISMIC RESPONSE ANALYSIS FOR ELECOMMUNICAION OWERS BUIL ON HE BUILDING 534 K KANAZAWA And K HIRAA SUMMARY he em reone erum mehod for eondry yem develoed, o onder dynm neron wh he rmry yem. he rooed em

More information

ANOTHER CATEGORY OF THE STOCHASTIC DEPENDENCE FOR ECONOMETRIC MODELING OF TIME SERIES DATA

ANOTHER CATEGORY OF THE STOCHASTIC DEPENDENCE FOR ECONOMETRIC MODELING OF TIME SERIES DATA Tn Corn DOSESCU Ph D Dre Cner Chrsn Unversy Buchres Consnn RAISCHI PhD Depren of Mhecs The Buchres Acdey of Econoc Sudes ANOTHER CATEGORY OF THE STOCHASTIC DEPENDENCE FOR ECONOMETRIC MODELING OF TIME SERIES

More information

Macroscopic quantum effects generated by the acoustic wave in a molecular magnet

Macroscopic quantum effects generated by the acoustic wave in a molecular magnet Cudnovsky-Fes-09034 Mcroscopc qunum effecs genered by e cousc wve n moleculr mgne Gwng-Hee Km ejong Unv., Kore Eugene M. Cudnovksy Lemn College, CUNY Acknowledgemens D. A. Grnn Lemn College, CUNY Oulne

More information

OPERATOR-VALUED KERNEL RECURSIVE LEAST SQUARES ALGORITHM

OPERATOR-VALUED KERNEL RECURSIVE LEAST SQUARES ALGORITHM 3rd Europen Sgnl Processng Conference EUSIPCO OPERATOR-VALUED KERNEL RECURSIVE LEAST SQUARES ALGORITM P. O. Amblrd GIPSAlb/CNRS UMR 583 Unversé de Grenoble Grenoble, Frnce. Kdr LIF/CNRS UMR 779 Ax-Mrselle

More information

Essential Prime Implicants

Essential Prime Implicants CS/EE 4/4: Comuer Aded Desgn of Dgl Crcus Chrs J. yers Lecure 8: rme Selecon nd UC Redng: Cher 4.-9 Essenl rme Imlcns Cube s n essenl rme mlcn of f conns mnerm no conned by ny oher rme mlcn of. f f All

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

OWELL WEEKLY JOURNAL

OWELL WEEKLY JOURNAL Y \»< - } Y Y Y & #»»» q ] q»»»>) & - - - } ) x ( - { Y» & ( x - (» & )< - Y X - & Q Q» 3 - x Q Y 6 \Y > Y Y X 3 3-9 33 x - - / - -»- --

More information

Comparison between LETKF and EnVAR with observation localization

Comparison between LETKF and EnVAR with observation localization Comprson beeen LETKF nd EnVAR h observon loclzon * Sho Yoo Msru Kun Kzums Aonsh Se Orguch Le Duc Tuy Kb 3 Tdsh Tsuyu Meeorologcl Reserch Insue JAMSTEC 3 Meeorologcl College 6..7 D Assmlon Semnr n RIKEN/AICS

More information

Fractional Quantum Field Theory on Multifractals Sets

Fractional Quantum Field Theory on Multifractals Sets Amercn J. of Engneerng nd Appled Scences 4 (): 33-4, 2 ISSN 94-72 2 Scence Publcons Frconl Qunum Feld Theory on Mulfrcls Ses El-Nbuls Ahmd Rm Deprmen of Nucler nd Energy Engneerng, Cheju Nonl Unversy,

More information

Outline. Energy-Efficient Target Coverage in Wireless Sensor Networks. Sensor Node. Introduction. Characteristics of WSN

Outline. Energy-Efficient Target Coverage in Wireless Sensor Networks. Sensor Node. Introduction. Characteristics of WSN Ener-Effcen Tare Coverae n Wreless Sensor Newors Presened b M Trà Tá -4-4 Inroducon Bacround Relaed Wor Our Proosal Oulne Maxmum Se Covers (MSC) Problem MSC Problem s NP-Comlee MSC Heursc Concluson Sensor

More information

Direct Current Circuits

Direct 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 information

Electromagnetic waves in vacuum.

Electromagnetic 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 information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Invert and multiply. Fractions express a ratio of two quantities. For example, the fraction

Invert and multiply. Fractions express a ratio of two quantities. For example, the fraction Appendi E: Mnipuling Fions Te ules fo mnipuling fions involve lgei epessions e el e sme s e ules fo mnipuling fions involve numes Te fundmenl ules fo omining nd mnipuling fions e lised elow Te uses of

More information

Density Matrix Description of NMR BCMB/CHEM 8190

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 information

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions

II The Z Transform. Topics to be covered. 1. Introduction. 2. The Z transform. 3. Z transforms of elementary functions II The Z Trnsfor Tocs o e covered. Inroducon. The Z rnsfor 3. Z rnsfors of eleenry funcons 4. Proeres nd Theory of rnsfor 5. The nverse rnsfor 6. Z rnsfor for solvng dfference equons II. Inroducon The

More information

Orgnl on: Wng Mnxn u Ho Hung n hewynd D. G.. (05) omplne nlyss of -SR prllel mehnsm wh onsderon of grvy. Mehnsm Mhne heory 8. ermnen WR url: hp://wrp.wrwk..uk/7805 opyrgh reuse: he Wrwk Reserh rhve orl

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density 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

rank Additionally system of equation only independent atfect Gawp (A) possible ( Alb ) easily process form rang A. Proposition with Definition

rank Additionally system of equation only independent atfect Gawp (A) possible ( Alb ) easily process form rang A. Proposition with Definition Defiion nexivnol numer ler dependen rows mrix sid row Gwp elimion mehod does no fec h numer end process i possile esily red rng fc for mrix form der zz rn rnk wih m dcussion i holds rr o Proposiion ler

More information

Pollution abatement and reservation prices in a market game

Pollution abatement and reservation prices in a market game MPRA Munch Personl RePEc Archve Polluon bemen nd reservon prces n mrke gme George Hlkos nd George Ppgeorgou Unversy of Thessly, Deprmen of Economcs Ocober 2012 Onlne hp://mpr.ub.un-muenchen.de/42150/ MPRA

More information

THE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS

THE EXISTENCE OF SOLUTIONS FOR A CLASS OF IMPULSIVE FRACTIONAL Q-DIFFERENCE EQUATIONS Europen Journl of Mhemcs nd Compuer Scence Vol 4 No, 7 SSN 59-995 THE EXSTENCE OF SOLUTONS FOR A CLASS OF MPULSVE FRACTONAL Q-DFFERENCE EQUATONS Shuyun Wn, Yu Tng, Q GE Deprmen of Mhemcs, Ynbn Unversy,

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.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 information

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

Obtaining the Optimal Order Quantities Through Asymptotic Distributions of the Stockout Duration and Demand

Obtaining the Optimal Order Quantities Through Asymptotic Distributions of the Stockout Duration and Demand he Seond Inernonl Symposum on Sohs Models n Relbly Engneerng Lfe Sene nd Operons Mngemen Obnng he Opml Order unes hrough Asympo Dsrbuons of he Sokou Duron nd Demnd Ann V Kev Nonl Reserh omsk Se Unversy

More information

An Approach to New Concept of Time on the Basis of Four Fundamental Forces of Nature

An Approach to New Concept of Time on the Basis of Four Fundamental Forces of Nature Inernonl Journl of Senf Reserh Publons Volume Issue June An Approh o New Conep of Tme on he Bss of Four Fundmenl Fores of Nure B K Borh Deprmen of Phss Jorh Insue of Sene & Tehnolo Jorh Assm Ind Absr-

More information

A NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS

A NEW INTERPRETATION OF INTERVAL-VALUED FUZZY INTERIOR IDEALS OF ORDERED SEMIGROUPS ScInLhore),7),9-37,4 ISSN 3-536; CODEN: SINTE 8 9 A NEW INTERPRETATION O INTERVAL-VALUED UZZY INTERIOR IDEALS O ORDERED SEMIGROUPS Hdy Ullh Khn, b, Nor Hnz Srmn, Asghr Khn c nd z Muhmmd Khn d Deprmen of

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

r/lt.i Ml s." ifcr ' W ATI II. The fnncrnl.icniccs of Mr*. John We mil uppn our tcpiiblicnn rcprc Died.

r/lt.i Ml s. ifcr ' W ATI II. The fnncrnl.icniccs of Mr*. John We mil uppn our tcpiiblicnn rcprc Died. $ / / - (\ \ - ) # -/ ( - ( [ & - - - - \ - - ( - - - - & - ( ( / - ( \) Q & - - { Q ( - & - ( & q \ ( - ) Q - - # & - - - & - - - $ - 6 - & # - - - & -- - - - & 9 & q - / \ / - - - -)- - ( - - 9 - - -

More information

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

J 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 information

LOWELL WEEKLY JOURNAL

LOWELL WEEKLY JOURNAL Y -» $ 5 Y 7 Y Y -Y- Q x Q» 75»»/ q } # ]»\ - - $ { Q» / X x»»- 3 q $ 9 ) Y q - 5 5 3 3 3 7 Q q - - Q _»»/Q Y - 9 - - - )- [ X 7» -» - )»? / /? Q Y»» # X Q» - -?» Q ) Q \ Q - - - 3? 7» -? #»»» 7 - / Q

More information

ON THE DYNAMICS AND THERMODYNAMICS OF SMALL MARKOW-TYPE MATERIAL SYSTEMS

ON THE DYNAMICS AND THERMODYNAMICS OF SMALL MARKOW-TYPE MATERIAL SYSTEMS ON THE DYNAMICS AND THERMODYNAMICS OF SMALL MARKOW-TYPE MATERIAL SYSTEMS Andrzej Trzęsows Deprmen of Theory of Connuous Med, Insue of Fundmenl Technologcl Reserch, Polsh Acdemy of Scences, Pwńsego 5B,

More information

Linear Response Theory: The connection between QFT and experiments

Linear 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 information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In 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 information

FINANCIAL ECONOMETRICS

FINANCIAL ECONOMETRICS FINANCIAL ECONOMETRICS SPRING 07 WEEK IV NONLINEAR MODELS Prof. Dr. Burç ÜLENGİN Nonlner NONLINEARITY EXISTS IN FINANCIAL TIME SERIES ESPECIALLY IN VOLATILITY AND HIGH FREQUENCY DATA LINEAR MODEL IS DEFINED

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes 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 information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak .65, MHD Theory of Fusion Sysems Prof. Freidberg Lecure 9: The High e Tokmk Summry of he Properies of n Ohmic Tokmk. Advnges:. good euilibrium (smll shif) b. good sbiliy ( ) c. good confinemen ( τ nr )

More information

Lecture 6: Learning for Control (Generalised Linear Regression)

Lecture 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 information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 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 information

' Liberty and Umou Ono and Inseparablo "

' Liberty and Umou Ono and Inseparablo 3 5? #< q 8 2 / / ) 9 ) 2 ) > < _ / ] > ) 2 ) ) 5 > x > [ < > < ) > _ ] ]? <

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 More oundr-vlue Prolems nd genvlue Prolems n Os ovemer 9, 7 More oundr-vlue Prolems nd genvlue Prolems n Os Lrr retto Menl ngneerng 5 Semnr n ngneerng nlss ovemer 9, 7 Outlne Revew oundr-vlue prolems Soot

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () 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 information

EEM 486: Computer Architecture

EEM 486: Computer Architecture EEM 486: Compuer Archecure Lecure 4 ALU EEM 486 MIPS Arhmec Insrucons R-ype I-ype Insrucon Exmpe Menng Commen dd dd $,$2,$3 $ = $2 + $3 sub sub $,$2,$3 $ = $2 - $3 3 opernds; overfow deeced 3 opernds;

More information

Linear and Weakly Nonlinear Instability of Slightly Curved Shallow Mixing Layers

Linear and Weakly Nonlinear Instability of Slightly Curved Shallow Mixing Layers WEA TAACTIO on FLUID MECHAIC Irn Ele Andre Kolshn Lner nd Wel onlner Insbl o lhl Crved hllow Mn Lers IIA EGLITE ADEI KOLYHKI Deprmen o Enneern Mhems Tehnl Unvers Mez sr blo 4 LATVIA rnele@mlom olsns@rbslv

More information

MANY BILLS OF CONCERN TO PUBLIC

MANY BILLS OF CONCERN TO PUBLIC - 6 8 9-6 8 9 6 9 XXX 4 > -? - 8 9 x 4 z ) - -! x - x - - X - - - - - x 00 - - - - - x z - - - x x - x - - - - - ) x - - - - - - 0 > - 000-90 - - 4 0 x 00 - -? z 8 & x - - 8? > 9 - - - - 64 49 9 x - -

More information

PanHomc'r I'rui;* :".>r '.a'' W"»' I'fltolt. 'j'l :. r... Jnfii<on. Kslaiaaac. <.T i.. %.. 1 >

PanHomc'r I'rui;* :.>r '.a'' W»' I'fltolt. 'j'l :. r... Jnfii<on. Kslaiaaac. <.T i.. %.. 1 > 5 28 (x / &» )»(»»» Q ( 3 Q» (» ( (3 5» ( q 2 5 q 2 5 5 8) 5 2 2 ) ~ ( / x {» /»»»»» (»»» ( 3 ) / & Q ) X ] Q & X X X x» 8 ( &» 2 & % X ) 8 x & X ( #»»q 3 ( ) & X 3 / Q X»»» %» ( z 22 (»» 2» }» / & 2 X

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

Our main purpose in this section is to undertake an examination of the stock

Our main purpose in this section is to undertake an examination of the stock 3. Caial gains ax and e sock rice volailiy Our main urose in is secion is o underake an examinaion of e sock rice volailiy by considering ow e raional seculaor s olding canges afer e ax rae on caial gains

More information

T-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis)

T-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis) 3/0/018 _mch.doc Pge 1 of 6 T-Mch: Mching Techniques For Driving Ygi-Ud Anenns: T-Mch (Secions 9.5 & 9.7 of Blnis) l s l / l / in The T-Mch is shun-mching echnique h cn be used o feed he driven elemen

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne

More information

6/27/2012. Signals and Systems EE235. Chicken. Today s menu. Why did the chicken cross the Möbius Strip? To get to the other er um

6/27/2012. Signals and Systems EE235. Chicken. Today s menu. Why did the chicken cross the Möbius Strip? To get to the other er um Signals and Sysems EE35 Chicken Why did he chicken cross he Möbius Srip? To ge o he oher er um Today s menu Sysem properies Lineariy Time invariance Sabiliy Inveribiliy Causaliy Los of examples! 1 Sysem

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate 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 information

Optimization of Pollution Emission in Power Dispatch including Renewable Energy and Energy Storage

Optimization of Pollution Emission in Power Dispatch including Renewable Energy and Energy Storage eserch Journl of Appled cences, Engneerng nd Technology (3): 59-556, I: -767 Mxwell cenfc Orgnzon, ubmed: Aprl, Acceped: My, Publshed: ecember, Opmzon of Polluon Emsson n Power spch ncludng enewble Energy

More information

Intra-household interaction in a nuclear family: A utility-maximizing approach

Intra-household interaction in a nuclear family: A utility-maximizing approach 1 Inr-ouseold neron n nuler fmly: A uly-mxmzng ppro Hronor Ko, nd Mnbu Msumoo b Deprmen of Cvl Engneerng, Sool of Engneerng, Unversy of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Jpn b Wes Jpn Rly

More information

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels

Caputo Equations in the frame of fractional operators with Mittag-Leffler kernels nvenon Jounl o Reseh Tehnoloy n nneen & Mnemen JRTM SSN: 455-689 wwwjemom Volume ssue 0 ǁ Ooe 08 ǁ PP 9-45 Cuo uons n he me o onl oeos wh M-ele enels on Qn Chenmn Hou* Ynn Unvesy Jln Ynj 00 ASTRACT: n

More information

V o l u m e 5, N u m b e r 5 2, 1 6 P a g e s. Gold B e U ClUt Stamps Double Stamp D a y E v e r y Wednesday

V o l u m e 5, N u m b e r 5 2, 1 6 P a g e s. Gold B e U ClUt Stamps Double Stamp D a y E v e r y Wednesday 1 6 5 J 9 6 " " z k ; k x k k k z z k j " " ( k " " k 8 1959 " " x k j 5 25 ; ; k k qz ; x 13 x k * k ( ) k k : qz 13 k k k j ; q k x ; x 615 26 ( : k z 113 99751 z k k q ; 15 k k k j q " " k j x x ( *»

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology I J Pure Al S Teol, 04, 64-77 Ierol Jourl o Pure d Aled Sees d Teoloy ISSN 9-607 Avlle ole wwwjos Reser Per O New Clss o rmo Uvle Fuos Deed y Fox-r Geerled yereomer Fuo Adul Rm S Jum d Zrr,* Derme o Mems,

More information

Origin Destination Transportation Models: Methods

Origin Destination Transportation Models: Methods In Jr. of Mhemcl Scences & Applcons Vol. 2, No. 2, My 2012 Copyrgh Mnd Reder Publcons ISSN No: 2230-9888 www.journlshub.com Orgn Desnon rnsporon Models: Mehods Jyo Gup nd 1 N H. Shh Deprmen of Mhemcs,

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 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 information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

TOPICAL PROBLEMS OF FLUID MECHANICS 141

TOPICAL PROBLEMS OF FLUID MECHANICS 141 TOPIL PROBLEMS OF FLUID MEHNIS 4 DOI: h://dx.do.org/.43/tpfm.6.9 BIPLNE ERODYNMIS REISITED E. Morsh ollege of Engneerng nd Desgn, Shur Insue of Tehnology, 37, Fuksku, Mnum-ku, Sm-sh, 337 857, Sm, Jn sr

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

10/10/2011. Signals and Systems EE235. Today s menu. Chicken

10/10/2011. Signals and Systems EE235. Today s menu. Chicken Signals and Sysems EE35 Today s menu Homework 1 Due omorrow Ocober 14 h Lecure will be online Sysem properies Lineariy Time invariance Sabiliy Inveribiliy Causaliy Los of examples! Chicken Why did he chicken

More information

Motion Feature Extraction Scheme for Content-based Video Retrieval

Motion Feature Extraction Scheme for Content-based Video Retrieval oon Feure Exrcon Scheme for Conen-bsed Vdeo Rerevl Chun Wu *, Yuwen He, L Zho, Yuzhuo Zhong Deprmen of Compuer Scence nd Technology, Tsnghu Unversy, Bejng 100084, Chn ABSTRACT Ths pper proposes he exrcon

More information

APPLICATIONS OF THE MELLIN TYPE INTEGRAL TRANSFORM IN THE RANGE (1/a, )

APPLICATIONS OF THE MELLIN TYPE INTEGRAL TRANSFORM IN THE RANGE (1/a, ) In. J. o heml Sene nd Applon Vol. No. Jnury-June 05 ISSN: 30-9888 APPLICATIONS OF THE ELLIN TYPE INTEGRAL TRANSFOR IN THE RANGE / S.. Khrnr R.. Pe J. N. Slunke Deprmen o hem hrhr Ademy o Enneern Alnd-405Pune

More information

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL. E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R

More information

LOWELL WEEKLY JOURNAL

LOWELL WEEKLY JOURNAL Y G y G Y 87 y Y 8 Y - $ X ; ; y y q 8 y $8 $ $ $ G 8 q < 8 6 4 y 8 7 4 8 8 < < y 6 $ q - - y G y G - Y y y 8 y y y Y Y 7-7- G - y y y ) y - y y y y - - y - y 87 7-7- G G < G y G y y 6 X y G y y y 87 G

More information

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s

More information