Nonextensive analysis of crustal seismicity in Taiwan

Size: px
Start display at page:

Download "Nonextensive analysis of crustal seismicity in Taiwan"

Transcription

1 Nt. Hzrds Erth Syst. Sci.,, 93 97, doi:.594/nhess--93- Author(s). CC Attribution 3. License. Nturl Hzrds nd Erth System Sciences Nonextensive nlysis of crustl seismicity in Tiwn L. Telesc nd C.-C. Chen Institute of Methodologies for Environmentl Anlysis, Ntionl Reserch Council, Tito Sclo (PZ), Itly Grdute Institute of Geophysics, Ntionl Centrl University, Jhongli 3, Tiwn Received: April Accepted: 8 My Published: June Abstrct. Using the Tiwn Centrl Wether Bureu erthuke ctlogue, the crustl seismicity of Tiwn ws nlyzed by mens of nonextensive pproch. The time spn of the nlyzed ctlogue is from Jnury 99 to 3 November 7, nd only erthukes with mgnitude M. were considered. Our findings revel tht the nonextensive sttistics furnishes very good prediction of the cumultive mgnitude distribution of crustl seismicity in Tiwn, even if the ftershocks re removed, indicting tht the pproch is robust for clustered s well s declustered seismicity. Introduction The well known empiricl Gutenberg-Richter (944) reltionship between the cumultive number of erthukes (for mgnitude lrger thn threshold ) with explins sttisticlly the seismicity occurrence, but ws not relted with generl physicl principles. Sotolongo-Cost nd Posds (4) developed generl model for erthuke dynmics, nd the Gutenberg-Richter lw could be considered prticulr cse. In this model the mechnism of erthuke triggering is bsed not only on the slippge of fult plnes nd reltive displcement due to the brek of the sperities (De Rubeis et l., 996), but is lso cused by the frgments filling the spce between fult plnes nd originted from the brekge of the tectonic pltes. Using the non-extensive Tsllis formlism (Tsllis, 988), more relistic mgnitude distribution ws deduced, providing n excellent fit to the seismicities of severl seismic regions (Silv et l., 6; Vilr et l., 7), nd from regionl seismic ctlogues down to specific seismic res (Telesc,, b). Nonextensive erthuke model An erthuke frgment-sperity interction model ws developed by Sotolongo-Cost nd Posds (4) nd, then revised by Silv et l. (6), in which the erthuke triggering mechnism is given by the interction between the irregulrities of the fult plnes with the frgments between them, originted by the locl brekge of the tectonic pltes, from which the fults re generted. In this model the reltive position of frgments filling the spce between the irregulr fult plnes cn contribute to the hindering of their reltive motion. Then, stress increses until displcement of one of the sperities, due to the displcement of the hindering frgment, or even its brekge in the point of contct with the frgment leds to reltive displcement of the fult plnes of the order of the size ρ of the hindering frgment, producing libertion of energy ε (Sotolongo-Cost nd Posds, 4). As lrge frgments re more difficult to relese thn smll ones, this energy is ssumed to be proportionl to the volume of the frgment, so tht the energy distribution of erthukes generted by this mechnism cn reflect the volumetric distribution of the frgments between pltes (Silv et l., 6; Vilr et l., 7). The use of nonextensive sttistics is suited tool to describe the volumetric distribution function of the frgments. Applying the mximum entropy principle for the Tsllis entropy (Tsllis, 988), the Tsllis entropy for our problem is given by p (σ ) ( p(σ ) ) dσ S =, () where p(σ ) is the probbility of finding frgment of surfce σ nd is rel number (Vilr et l., 7). Correspondence to: C.-C. Chen (chencc@erth.ncu.edu.tw) Published by Copernicus Publictions on behlf of the Europen Geosciences Union.

2 94 L. Telesc nd C.-C. Chen: Nonextensive nlysis of crustl seismicity in Tiwn The mximum entropy formultion for Tsllis entropy implies tht two conditions hve to be introduced (Tsllis et R l., 998): ) the normliztion of p(σ ), p(σ )dσ = ; ) the d hoc condition bout the -expecttion vlue, σ = R hσ i = σ p (σ )dσ. For, the lst condition becomes the definition of men vlue. Applying the stndrd method of conditionl extremiztion of the entropy functionl S, we obtin the following expression for the frgment size distribution: ( ) p(σ ) = σ σ ( ) () which corresponds to the re distribution for the frgments of the fult plnes (Silv et l., 6; Sotolongo-Cost nd Posds, 4). Assuming the energy scle ε r 3, the proportionlity be tween the relesed energy ε nd r 3 becomes σ σ = ε 3, where σ scles with r nd (the proportionlity constnt between ε nd r 3 ) hs dimensions of volumetric energy density. This scle is in full greement with the stndrd theory of seismic moment scling with rupture length (Ly nd Wl lce, 995). Thus, using the trnsformtion σ σ = ε 3, the following form for the energy distribution function of the erthukes follows: C ε 3 dε. p(ε)dε = h i/ ( ) + C ε 3 with C = 3 3 nd C = (3) ( ). The probbility of energy ( ) 3 p(ε)=n(ε)/n, where n(ε) is the number of erthukes of energy ε nd N the totl number of erthukes. Therefore, the cumultive number of erthukes cn be clculted s the integrl of E. (3): N (ε > εth ) = N Z p(ε)dε, This not trivil result incorportes the chrcteristics of nonextensivity into the distribution of erthukes by mgnitude. The -vlue is untittive mesure of the length scle of the sptil interctions: indictes short-rnged sptil correltions; s increses, the physicl stte becomes much more unstble; high vlues of men tht the fult plnes re not in euilibrium nd more erthukes cn be expected (Sotolongo-Cost nd Posds, ). 3 (4) εth Where N (ε > εth ) is the number of erthukes with energy lrger thn the threshold εth. Due to the reltionship m = 3 log(ε), where m is the mgnitude, the following formul for the distribution of the number N of erthukes whose mgnitude m is lrger thn the threshold Mth normlized to the totl number of events is obtined: N (m>mth ) log N!# " Mth.= log (5) / 3 Nt. Hzrds Erth Syst. Sci.,, 93 97, Fig.. Sptil distribution of the Tiwnese seismicity from Jnury 99 to 3 November 7. The dt were extrcted from the Centrl Wether Bureu ctlogue. Dt nlysis The Tiwnese seismicity from Jnury 99 to 3 November 7 ws investigted. The dt were relesed from the Centrl Wether Bureu (CWB) erthuke ctlogue (Fig. ). The minimum mgnitude M for which the ctlogue cn be considered complete is. (Telesc et l., 9). Figure shows the normlized cumultive mgnitude distribution (NCMD) of the Tiwnese crustl seismicity. The fitting of NCMD with E. (5) ws performed by mens of the Levenberg-Mrudt nonliner lest sure method (Levenberg, 944; Mrurdt, 963). When using this method, the initil vlues nd re firstly fixed, then the lgorithm furnishes the vlues for nd tht best fit the dt nd lie within dmissible rnges tht, in this study, were [, ] for nd [ 3, ] for. The best fitting is estblished fter the minimum lest sure fitting hs been reched.

3 5 53 Fig. L. Telesc nd C.-C. Chen: Nonextensive nlysis of crustl seismicity in Tiwn 95 log(n >Mth /N) b= , * Fig.. Normlized cumultive mgnitude distribution of the crustl Tiwnese seismicity (open circles) nd fitting curve (solid line). The Fig. vlues of the prmeters re 79 nd 7. The dotted line indictes the Gutenberg-Richter reltionship, with b= Since priori the initil vlues nd giving the minimum estimtion re not known, the ws clculted vrying the initil vlues of nd. The is given by the sure- norm of the residul, which is the difference between the originl dt nd the vlues evluted by the fitting nonliner function. Figure 3 shows the, the prmeters nd, respectively, vrying the vlues of nd. The vlue of the is stble for 4 ; in this 56 rnge the obtined vlues of nd re lso uite stble, with round.68 nd of the order of The minimum error is.868 nd ws obtined for nd = 7 ; then, these initil vlues were used to find the best fitting prmeters 79 nd The fitting curve is lso shown Fig. in 3() Fig. s solid line. The greement between57 the NCMD with E. (5) is very good, indicting tht the nonextensive frgment-sperity interction model is well suited to describe the crustl seismicity of Tiwn. In the Tiwnese territory mny strong erthukes occur nd the ftershock ctivity is, therefore, lso uite intense. In order to verify if ftershocks could influence the vlues of nd, the nonextensive nlysis ws lso performed on the ftershock-depleted ctlogue. For the lgorithm of removing ftershock, we hd pplied the method of sptiotemporl double-link cluster nlysis to eliminte ftershocks in the ctlogue. This method is similr to the single-link cluster nlysis proposed by Dvis nd Frohlich (99). Given 58 mgnitude threshold of min shocks, the declustering lgorithm specifies two linking prmeters in the time nd 59 spce scles, 3 dys nd 5 km for exmple. An event would be identified s n ftershock when its epicenter nd occurrence time ly within the prescribed sptiotemporl window of some min shock. Then, the procedure itertively serches 58 for secondry ftershocks, i.e. the ftershock of n erlier ftershock. The ue turns out to be seprted59 by () Fig. 3() (b) Fig. 3(b) (c) Fig. 3(b).4x 7.x 7.x 7 6.x 6.4x 7 4.x 6.x 7.x 6.x 7 4.x x 7 8.x.6x x 6 -.x 6 6.x Fig. 3..x The 6 () nd the prmeters (b) nd (c) versus Fig. initil3(c) vlue., clculted for the whole seismicity. The different colored curves re obtined 4 with different vlues of. The vlue of the error -.xe 6 is stble for 4 ; in this rnge the obtined vlues of nd re lso uite stble, with round.68 nd of the order of 7. The minimum error is.868 nd ws obtined for nd = 7 ; then, these initil vlues were used to find the best fitting prmeters 79 nd 7 for the fitting curve, Fig. shown3(c) in Fig Nt. Hzrds Erth Syst. Sci.,, 93 97,

4 6 96 L. Telesc nd 6 C.-C. Fig. Chen: 4 Nonextensive nlysis of crustl seismicity in Tiwn declustered ctlogue log(n >Mth /N) b= , * Fig. 4. Normlized cumultive mgnitude distribution of the Fig. declustered 4 crustl Tiwnese seismicity (open circles) nd fitting curve (solid line). The vlues of the prmeters re 85 nd 7 6. The dotted line indictes the Gutenberg-Richter reltionship, with b= mny seuences of min shock nd ftershocks. By using the temporl nd sptil linking prmeters of 3 dys nd 5 km, we hd removed the ftershock events generted from min shocks with M L >4.5. Those linking prmeters were usully used for declustering the CWB ctlogue (Wu nd Chen, 7). 64 Figure 4 shows the NCMD for the declustered ctlog long with its fitting curve, which ws obtined similrly65 to declustered ctlog the whole cse. Figure 5 show the,, nd vrying the initil. vlues of nd, like in the ue The shows n lmost flt behvior for 4 64 nd for ny vlue. This feture does not llow to estimte minimum, in order to find the suited initil vlues65 of nd, nd, in turn, the vlue for the fitting prmeters Fig. nd. 5() But, due to the very smll vrition of the obtined prmeters nd in the sme rnge s the, it is resonble to estimte these s the men of the obtined vlues for 4 ; thus 85 nd 7 ; such vlues re very close to those obtined for the ue, indicting tht the nonextensive model is robust with the presence of ftershocks. 4 Conclusions 66 The crustl seismicity of Tiwn territory hs been nlyzed by mens of nonextensive pproch. The ppliction67 of nonextensivity to the cumultive erthuke mgnitude distribution hs reveled tht such the frgment-sperity interction model fits very stisfctorily nd robustly the rel cse, even in the cse of ftershock declustering. 66 Nt. Hzrds Erth Syst. Sci.,, 93 97, 67 () Fig. 5() (b) declustered ctlog declustered ctlog Fig. 5(b) (c).68 Fig. 5(b).x 7 declustered ctlog Fig. 5. The () nd the prmeters (b) nd (c) versus Fig.5(c) initil vlue., clculted for the ftershock-depleted seismicity. The different colored curves re obtined with different vlues of. The shows n lmost flt behvior for 4 nd for ny vlue. The prmeters nd were 6 estimted s the men of the obtined vlues for 4, thus 85 nd 7 (see text for detils). Fig.5(c) 7 declustered ctlog.x 8.x x declustered ctlog.x 4.x.x 7.x 6 8.x 6. 6.x x 6.x

5 L. Telesc nd C.-C. Chen: Nonextensive nlysis of crustl seismicity in Tiwn 97 Acknowledgements. The efforts of the Centrl Wether Bureu of Tiwn to mintin the seismic network re highly pprecited. L. T. cknowledges the ESRPC of Ntionl Science Council (ROC) for the support of visiting Tiwn in April. C. C. C. is grteful for reserch support from both the Ntionl Science Council (ROC) nd the Institute of Geophysics (NCU, ROC). Edited by: M. E. Contdkis Reviewed by: two nonymous referees References Dvis, S. D. nd Frohlich, C.: Single-link cluster nlysis of erthuke ftershocks: decy lws nd regionl vritions, J. Geophys. Res., 96, , 99. Gutenberg, B. nd Richter, C. F.: Freuency of erthukes in Cliforni, B. Seismol. Soc. Am., 57, 34 37, 944. Ly, T. nd Wllce, T. C.: Modern globl seismology, in: Interntionl geophysics series, Sn Diego: Acdemic Press, 58, 5 pp., 995. Levenberg, K.: A Method for the Solution of Certin Non-Liner Problems in Lest Sures, Q. Appl. Mth.,, 64 68, 944. Mrurdt, D. W.: An lgorithm for lest-sures estimtion of nonliner prmeters, J. Soc. Ind. Appl. Mth.,, 43 44, 963. Silv, R., Frnç, G. S., Vilr, C. S., nd Alcniz, J. S.: Nonextensive models for erthukes, Phys. Rev. E, 73, 6, doi:.3/physreve.73.6, 6. Sotolongo-Cost, O. nd Posds, A.: Tsllis entropy: non-extensive freuency-mgnitude distribution of erthukes, vilble t: pdf (lst ccess: April ),. Sotolongo-Cost, O. nd Posds, A.: Frgment-Asperity Interction Model for Erthukes, Phys. Rev. Lett., 9(4), 485, doi:.3/physrevlett.9.485, 4. Sotolongo-Cost, O. nd Posds, A.: Frgments, Combustion nd Erthukes, rxiv:physics/5336, vilble t: org/bs/physics/5336.pdf (lst ccess: April ), 5. Telesc, L.: Nonextensive nlysis of seismic seuences, Physic A, 389, 9 94,. Telesc, L.: A non-extensive pproch in investigting the seismicity of L Auil re (centrl Itly), struck by the 6 April 9 erthuke (M L 5.8), Terr Nov,, 87 93, b. Telesc, L., Chen, C.-C., nd Lee, Y.-T.: Scling behviour in temporl fluctutions of crustl seismicity in Tiwn, Nt. Hzrds Erth Syst. Sci., 9, 67 7, doi:.594/nhess , 9. Tsllis, C.: Possible generliztion of Boltzmnn-Gibbs sttistics, J. Stt. Phys., 5, , 988. Vilr, C. S., Frnç, G. S., Silv, R., nd Alcniz, J. S.: Nonextensivity in geologicl fults?, Physic A, 377, 85 9, 7. Wu, Y.-M. nd Chen, C.-C.: Seismic reversl pttern for the 999 Chi-Chi, Tiwn, Mw 7.6 erthuke, Tectonophysics, 49, 5 3, 7. Nt. Hzrds Erth Syst. Sci.,, 93 97,

Entropy 2011, 13, ; doi: /e OPEN ACCESS. Tsallis-Based Nonextensive Analysis of the Southern California Seismicity

Entropy 2011, 13, ; doi: /e OPEN ACCESS. Tsallis-Based Nonextensive Analysis of the Southern California Seismicity Entropy 0,, 67-80; oi:0.90/e0767 OPEN ACCESS entropy ISSN 099-400 www.mpi.com/journl/entropy Article Tsllis-Bse Nonextensive Anlysis of the Southern Cliforni Seismicity Lucino Telesc Ntionl Reserch Council,

More information

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE

A Brief Review on Akkar, Sandikkaya and Bommer (ASB13) GMPE Southwestern U.S. Ground Motion Chrcteriztion Senior Seismic Hzrd Anlysis Committee Level 3 Workshop #2 October 22-24, 2013 A Brief Review on Akkr, Sndikky nd Bommer (ASB13 GMPE Sinn Akkr Deprtment of

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data

A027 Uncertainties in Local Anisotropy Estimation from Multi-offset VSP Data A07 Uncertinties in Locl Anisotropy Estimtion from Multi-offset VSP Dt M. Asghrzdeh* (Curtin University), A. Bon (Curtin University), R. Pevzner (Curtin University), M. Urosevic (Curtin University) & B.

More information

Continuous Random Variables

Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht

More information

Analysis of Foreshock Sequences in California and Implications for Earthquake Triggering

Analysis of Foreshock Sequences in California and Implications for Earthquake Triggering Pure Appl. Geophys. Ó 25 Springer Bsel DOI.7/s24-5-3- Pure nd Applied Geophysics Anlysis of Foreshock Sequences in Cliforni nd Implictions for Erthquke Triggering XIAOWEI CHEN nd PETER M. SHEARER 2 Abstrct

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

Lecture 20: Numerical Integration III

Lecture 20: Numerical Integration III cs4: introduction to numericl nlysis /8/0 Lecture 0: Numericl Integrtion III Instructor: Professor Amos Ron Scribes: Mrk Cowlishw, Yunpeng Li, Nthnel Fillmore For the lst few lectures we hve discussed

More information

MAC-solutions of the nonexistent solutions of mathematical physics

MAC-solutions of the nonexistent solutions of mathematical physics Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE

More information

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1 Difference Equtions to Differentil Equtions Section.8 Distnce, Position, nd the Length of Curves Although we motivted the definition of the definite integrl with the notion of re, there re mny pplictions

More information

A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Human s Unvoiced Pronunciation

A New Statistic Feature of the Short-Time Amplitude Spectrum Values for Human s Unvoiced Pronunciation Xiodong Zhung A ew Sttistic Feture of the Short-Time Amplitude Spectrum Vlues for Humn s Unvoiced Pronuncition IAODOG ZHUAG 1 1. Qingdo University, Electronics & Informtion College, Qingdo, 6671 CHIA Abstrct:

More information

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d

Driving Cycle Construction of City Road for Hybrid Bus Based on Markov Process Deng Pan1, a, Fengchun Sun1,b*, Hongwen He1, c, Jiankun Peng1, d Interntionl Industril Informtics nd Computer Engineering Conference (IIICEC 15) Driving Cycle Construction of City Rod for Hybrid Bus Bsed on Mrkov Process Deng Pn1,, Fengchun Sun1,b*, Hongwen He1, c,

More information

S. S. Dragomir. 2, we have the inequality. b a

S. S. Dragomir. 2, we have the inequality. b a Bull Koren Mth Soc 005 No pp 3 30 SOME COMPANIONS OF OSTROWSKI S INEQUALITY FOR ABSOLUTELY CONTINUOUS FUNCTIONS AND APPLICATIONS S S Drgomir Abstrct Compnions of Ostrowski s integrl ineulity for bsolutely

More information

Ordinary differential equations

Ordinary differential equations Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties

More information

Entropy ISSN

Entropy ISSN Entropy 006, 8[], 50-6 50 Entropy ISSN 099-4300 www.mdpi.org/entropy/ ENTROPY GENERATION IN PRESSURE GRADIENT ASSISTED COUETTE FLOW WITH DIFFERENT THERMAL BOUNDARY CONDITIONS Abdul Aziz Deprtment of Mechnicl

More information

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses

More information

Math 1B, lecture 4: Error bounds for numerical methods

Math 1B, lecture 4: Error bounds for numerical methods Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the

More information

Probability Distributions for Gradient Directions in Uncertain 3D Scalar Fields

Probability Distributions for Gradient Directions in Uncertain 3D Scalar Fields Technicl Report 7.8. Technische Universität München Probbility Distributions for Grdient Directions in Uncertin 3D Sclr Fields Tobis Pfffelmoser, Mihel Mihi, nd Rüdiger Westermnn Computer Grphics nd Visuliztion

More information

Travelling Profile Solutions For Nonlinear Degenerate Parabolic Equation And Contour Enhancement In Image Processing

Travelling Profile Solutions For Nonlinear Degenerate Parabolic Equation And Contour Enhancement In Image Processing Applied Mthemtics E-Notes 8(8) - c IN 67-5 Avilble free t mirror sites of http://www.mth.nthu.edu.tw/ men/ Trvelling Profile olutions For Nonliner Degenerte Prbolic Eqution And Contour Enhncement In Imge

More information

Intro to Nuclear and Particle Physics (5110)

Intro to Nuclear and Particle Physics (5110) Intro to Nucler nd Prticle Physics (5110) Feb, 009 The Nucler Mss Spectrum The Liquid Drop Model //009 1 E(MeV) n n(n-1)/ E/[ n(n-1)/] (MeV/pir) 1 C 16 O 0 Ne 4 Mg 7.7 14.44 19.17 8.48 4 5 6 6 10 15.4.41

More information

Data Assimilation. Alan O Neill Data Assimilation Research Centre University of Reading

Data Assimilation. Alan O Neill Data Assimilation Research Centre University of Reading Dt Assimiltion Aln O Neill Dt Assimiltion Reserch Centre University of Reding Contents Motivtion Univrite sclr dt ssimiltion Multivrite vector dt ssimiltion Optiml Interpoltion BLUE 3d-Vritionl Method

More information

Predict Global Earth Temperature using Linier Regression

Predict Global Earth Temperature using Linier Regression Predict Globl Erth Temperture using Linier Regression Edwin Swndi Sijbt (23516012) Progrm Studi Mgister Informtik Sekolh Teknik Elektro dn Informtik ITB Jl. Gnesh 10 Bndung 40132, Indonesi 23516012@std.stei.itb.c.id

More information

Effects of peripheral drilling moment on delamination using special drill bits

Effects of peripheral drilling moment on delamination using special drill bits journl of mterils processing technology 01 (008 471 476 journl homepge: www.elsevier.com/locte/jmtprotec Effects of peripherl illing moment on delmintion using specil ill bits C.C. Tso,, H. Hocheng b Deprtment

More information

Conservation Law. Chapter Goal. 5.2 Theory

Conservation Law. Chapter Goal. 5.2 Theory Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very

More information

CONTRIBUTION TO THE EXTENDED DYNAMIC PLANE SOURCE METHOD

CONTRIBUTION TO THE EXTENDED DYNAMIC PLANE SOURCE METHOD CONTRIBUTION TO THE EXTENDED DYNAMIC PLANE SOURCE METHOD Svetozár Mlinrič Deprtment of Physics, Fculty of Nturl Sciences, Constntine the Philosopher University, Tr. A. Hlinku, SK-949 74 Nitr, Slovki Emil:

More information

Chapter 5 : Continuous Random Variables

Chapter 5 : Continuous Random Variables STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll

More information

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams

Chapter 4 Contravariance, Covariance, and Spacetime Diagrams Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz

More information

1 Bending of a beam with a rectangular section

1 Bending of a beam with a rectangular section 1 Bending of bem with rectngulr section x3 Episseur b M x 2 x x 1 2h M Figure 1 : Geometry of the bem nd pplied lod The bem in figure 1 hs rectngur section (thickness 2h, width b. The pplied lod is pure

More information

S. S. Dragomir. 1. Introduction. In [1], Guessab and Schmeisser have proved among others, the following companion of Ostrowski s inequality:

S. S. Dragomir. 1. Introduction. In [1], Guessab and Schmeisser have proved among others, the following companion of Ostrowski s inequality: FACTA UNIVERSITATIS NIŠ) Ser Mth Inform 9 00) 6 SOME COMPANIONS OF OSTROWSKI S INEQUALITY FOR ABSOLUTELY CONTINUOUS FUNCTIONS AND APPLICATIONS S S Drgomir Dedicted to Prof G Mstroinni for his 65th birthdy

More information

Problems for HW X. C. Gwinn. November 30, 2009

Problems for HW X. C. Gwinn. November 30, 2009 Problems for HW X C. Gwinn November 30, 2009 These problems will not be grded. 1 HWX Problem 1 Suppose thn n object is composed of liner dielectric mteril, with constnt reltive permittivity ɛ r. The object

More information

KINEMATICS OF RIGID BODIES

KINEMATICS OF RIGID BODIES KINEMTICS OF RIGID ODIES Introduction In rigid body kinemtics, e use the reltionships governing the displcement, velocity nd ccelertion, but must lso ccount for the rottionl motion of the body. Description

More information

Emission of K -, L - and M - Auger Electrons from Cu Atoms. Abstract

Emission of K -, L - and M - Auger Electrons from Cu Atoms. Abstract Emission of K -, L - nd M - uger Electrons from Cu toms Mohmed ssd bdel-rouf Physics Deprtment, Science College, UEU, l in 17551, United rb Emirtes ssd@ueu.c.e bstrct The emission of uger electrons from

More information

The Active Universe. 1 Active Motion

The Active Universe. 1 Active Motion The Active Universe Alexnder Glück, Helmuth Hüffel, Sš Ilijić, Gerld Kelnhofer Fculty of Physics, University of Vienn helmuth.hueffel@univie.c.t Deprtment of Physics, FER, University of Zgreb ss.ilijic@fer.hr

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011 Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,

More information

7.2 The Definite Integral

7.2 The Definite Integral 7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where

More information

KEYWORDS: Seismic hazard, sensitivity analysis, uncertainty, Sudan

KEYWORDS: Seismic hazard, sensitivity analysis, uncertainty, Sudan Journl of Science nd Technology 12 (02) Decemer 2011 ISSN 1605 427X Sudn University of Science nd Technology www.sustech.edu Sensitivity Anlysis of Prmeters for Proilistic Seismic Hzrd for Sudn A. E. Hssll

More information

On the Linear Stability of Compound Capillary Jets

On the Linear Stability of Compound Capillary Jets ILASS Americs, th Annul Conference on Liquid Atomiztion nd Spry Systems, Chicgo, IL, My 7 On the Liner Stbility of Compound Cpillry Jets Mksud (Mx) Ismilov, Stephen D Heister School of Aeronutics nd Astronutics,

More information

Supplementary Material for Wave-pinning and cell polarity from a bistable reaction-diffusion system

Supplementary Material for Wave-pinning and cell polarity from a bistable reaction-diffusion system Supplementry Mteril for Wve-pinning nd cell polrity from bistble rection-diffusion system Yoichiro Mori, Alendr Jilkine nd Leh Edelstein-Keshet Model Comprisons We concentrte here the three systems to

More information

THE EXISTENCE OF NEGATIVE MCMENTS OF CONTINUOUS DISTRIBUTIONS WALTER W. PIEGORSCH AND GEORGE CASELLA. Biometrics Unit, Cornell University, Ithaca, NY

THE EXISTENCE OF NEGATIVE MCMENTS OF CONTINUOUS DISTRIBUTIONS WALTER W. PIEGORSCH AND GEORGE CASELLA. Biometrics Unit, Cornell University, Ithaca, NY THE EXISTENCE OF NEGATIVE MCMENTS OF CONTINUOUS DISTRIBUTIONS WALTER W. PIEGORSCH AND GEORGE CASELLA. Biometrics Unit, Cornell University, Ithc, NY 14853 BU-771-M * December 1982 Abstrct The question of

More information

Minimum Energy State of Plasmas with an Internal Transport Barrier

Minimum Energy State of Plasmas with an Internal Transport Barrier Minimum Energy Stte of Plsms with n Internl Trnsport Brrier T. Tmno ), I. Ktnum ), Y. Skmoto ) ) Formerly, Plsm Reserch Center, University of Tsukub, Tsukub, Ibrki, Jpn ) Plsm Reserch Center, University

More information

REGULARITY OF NONLOCAL MINIMAL CONES IN DIMENSION 2

REGULARITY OF NONLOCAL MINIMAL CONES IN DIMENSION 2 EGULAITY OF NONLOCAL MINIMAL CONES IN DIMENSION 2 OVIDIU SAVIN AND ENICO VALDINOCI Abstrct. We show tht the only nonlocl s-miniml cones in 2 re the trivil ones for ll s 0, 1). As consequence we obtin tht

More information

A new algorithm for generating Pythagorean triples 1

A new algorithm for generating Pythagorean triples 1 A new lgorithm for generting Pythgoren triples 1 RH Dye 2 nd RWD Nicklls 3 The Mthemticl Gzette (1998; 82 (Mrch, No. 493, pp. 86 91 http://www.nicklls.org/dick/ppers/mths/pythgtriples1998.pdf 1 Introduction

More information

Shear and torsion interaction of hollow core slabs

Shear and torsion interaction of hollow core slabs Competitive nd Sustinble Growth Contrct Nº G6RD-CT--6 Sher nd torsion interction of hollow core slbs HOLCOTORS Technicl Report, Rev. Anlyses of hollow core floors December The content of the present publiction

More information

Sufficient condition on noise correlations for scalable quantum computing

Sufficient condition on noise correlations for scalable quantum computing Sufficient condition on noise correltions for sclble quntum computing John Presill, 2 Februry 202 Is quntum computing sclble? The ccurcy threshold theorem for quntum computtion estblishes tht sclbility

More information

Remarks to the H-mode workshop paper

Remarks to the H-mode workshop paper 2 nd ITPA Confinement Dtbse nd Modeling Topicl Group Meeting, Mrch 11-14, 2002, Princeton Remrks to the H-mode workshop pper The development of two-term model for the confinement in ELMy H-modes using

More information

Math 113 Exam 2 Practice

Math 113 Exam 2 Practice Mth 3 Exm Prctice Februry 8, 03 Exm will cover 7.4, 7.5, 7.7, 7.8, 8.-3 nd 8.5. Plese note tht integrtion skills lerned in erlier sections will still be needed for the mteril in 7.5, 7.8 nd chpter 8. This

More information

Math 8 Winter 2015 Applications of Integration

Math 8 Winter 2015 Applications of Integration Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl

More information

Tests for the Ratio of Two Poisson Rates

Tests for the Ratio of Two Poisson Rates Chpter 437 Tests for the Rtio of Two Poisson Rtes Introduction The Poisson probbility lw gives the probbility distribution of the number of events occurring in specified intervl of time or spce. The Poisson

More information

1B40 Practical Skills

1B40 Practical Skills B40 Prcticl Skills Comining uncertinties from severl quntities error propgtion We usully encounter situtions where the result of n experiment is given in terms of two (or more) quntities. We then need

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Estimation of Binomial Distribution in the Light of Future Data

Estimation of Binomial Distribution in the Light of Future Data British Journl of Mthemtics & Computer Science 102: 1-7, 2015, Article no.bjmcs.19191 ISSN: 2231-0851 SCIENCEDOMAIN interntionl www.sciencedomin.org Estimtion of Binomil Distribution in the Light of Future

More information

Non-Linear & Logistic Regression

Non-Linear & Logistic Regression Non-Liner & Logistic Regression If the sttistics re boring, then you've got the wrong numbers. Edwrd R. Tufte (Sttistics Professor, Yle University) Regression Anlyses When do we use these? PART 1: find

More information

Songklanakarin Journal of Science and Technology SJST R1 Thongchan. A Modified Hyperbolic Secant Distribution

Songklanakarin Journal of Science and Technology SJST R1 Thongchan. A Modified Hyperbolic Secant Distribution A Modified Hyperbolic Secnt Distribution Journl: Songklnkrin Journl of Science nd Technology Mnuscript ID SJST-0-0.R Mnuscript Type: Originl Article Dte Submitted by the Author: 0-Mr-0 Complete List of

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

The steps of the hypothesis test

The steps of the hypothesis test ttisticl Methods I (EXT 7005) Pge 78 Mosquito species Time of dy A B C Mid morning 0.0088 5.4900 5.5000 Mid Afternoon.3400 0.0300 0.8700 Dusk 0.600 5.400 3.000 The Chi squre test sttistic is the sum of

More information

19 Optimal behavior: Game theory

19 Optimal behavior: Game theory Intro. to Artificil Intelligence: Dle Schuurmns, Relu Ptrscu 1 19 Optiml behvior: Gme theory Adversril stte dynmics hve to ccount for worst cse Compute policy π : S A tht mximizes minimum rewrd Let S (,

More information

DECAMETER RADIO EMISSION OF THE SUN: RECENT OBSERVATIONS

DECAMETER RADIO EMISSION OF THE SUN: RECENT OBSERVATIONS DECAMETER RADIO EMISSION OF THE SUN: RECENT OBSERVATIONS V. N. Melnik *,H.O.Rucker, A. A. Konovlenko, V. V. Dorovskyy, E. P. Abrnin, nd A. Leccheux Abstrct We present n overview of the recent results in

More information

Module 6: LINEAR TRANSFORMATIONS

Module 6: LINEAR TRANSFORMATIONS Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for

More information

10 Vector Integral Calculus

10 Vector Integral Calculus Vector Integrl lculus Vector integrl clculus extends integrls s known from clculus to integrls over curves ("line integrls"), surfces ("surfce integrls") nd solids ("volume integrls"). These integrls hve

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

8 Laplace s Method and Local Limit Theorems

8 Laplace s Method and Local Limit Theorems 8 Lplce s Method nd Locl Limit Theorems 8. Fourier Anlysis in Higher DImensions Most of the theorems of Fourier nlysis tht we hve proved hve nturl generliztions to higher dimensions, nd these cn be proved

More information

APPROPRIATE ATTENUATION MODEL FOR CHIANG MAI, THAILAND FROM FIELD MEASUREMENT TO MODEL EQUATION

APPROPRIATE ATTENUATION MODEL FOR CHIANG MAI, THAILAND FROM FIELD MEASUREMENT TO MODEL EQUATION Geotec., Const. Mt. & Env., DOI: https://doi.org/0.2660/20.47.gte95 ISSN: 26-292 (Print), 26-2990 (Online), Jpn APPROPRIATE ATTENUATION MODEL OR CHIANG MAI, THAILAND ROM IELD MEASUREMENT TO MODEL EQUATION

More information

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by. NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with

More information

KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION

KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION Fixed Point Theory, 13(2012), No. 1, 285-291 http://www.mth.ubbcluj.ro/ nodecj/sfptcj.html KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION FULI WANG AND FENG WANG School of Mthemtics nd

More information

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur

Module 2. Analysis of Statically Indeterminate Structures by the Matrix Force Method. Version 2 CE IIT, Kharagpur Module Anlysis of Stticlly Indeterminte Structures by the Mtrix Force Method Version CE IIT, Khrgpur esson 8 The Force Method of Anlysis: Bems Version CE IIT, Khrgpur Instructionl Objectives After reding

More information

Math 270A: Numerical Linear Algebra

Math 270A: Numerical Linear Algebra Mth 70A: Numericl Liner Algebr Instructor: Michel Holst Fll Qurter 014 Homework Assignment #3 Due Give to TA t lest few dys before finl if you wnt feedbck. Exercise 3.1. (The Bsic Liner Method for Liner

More information

Numerical integration

Numerical integration 2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter

More information

INTRODUCTION. The three general approaches to the solution of kinetics problems are:

INTRODUCTION. The three general approaches to the solution of kinetics problems are: INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The

More information

Math 32B Discussion Session Session 7 Notes August 28, 2018

Math 32B Discussion Session Session 7 Notes August 28, 2018 Mth 32B iscussion ession ession 7 Notes August 28, 28 In tody s discussion we ll tlk bout surfce integrls both of sclr functions nd of vector fields nd we ll try to relte these to the mny other integrls

More information

CAPACITORS AND DIELECTRICS

CAPACITORS AND DIELECTRICS Importnt Definitions nd Units Cpcitnce: CAPACITORS AND DIELECTRICS The property of system of electricl conductors nd insultors which enbles it to store electric chrge when potentil difference exists between

More information

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17

Discrete Mathematics and Probability Theory Spring 2013 Anant Sahai Lecture 17 EECS 70 Discrete Mthemtics nd Proility Theory Spring 2013 Annt Shi Lecture 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion,

More information

DISTRIBUTION OF SUB AND SUPER HARMONIC SOLUTION OF MATHIEU EQUATION WITHIN STABLE ZONES

DISTRIBUTION OF SUB AND SUPER HARMONIC SOLUTION OF MATHIEU EQUATION WITHIN STABLE ZONES Fifth ASME Interntionl Conference on Multibody Systems, Nonliner Dynmics nd Control Symposium on Dynmics nd Control of Time-Vrying nd Time-Dely Systems nd Structures September 2-2, 05, Long Bech, Cliforni,

More information

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION

THERMAL EXPANSION COEFFICIENT OF WATER FOR VOLUMETRIC CALIBRATION XX IMEKO World Congress Metrology for Green Growth September 9,, Busn, Republic of Kore THERMAL EXPANSION COEFFICIENT OF WATER FOR OLUMETRIC CALIBRATION Nieves Medin Hed of Mss Division, CEM, Spin, mnmedin@mityc.es

More information

Factors affecting the phonation threshold pressure and frequency

Factors affecting the phonation threshold pressure and frequency 3SC Fctors ffecting the phontion threshold pressure nd frequency Zhoyn Zhng School of Medicine, University of Cliforni Los Angeles, CA, USA My, 9 57 th ASA Meeting, Portlnd, Oregon Acknowledgment: Reserch

More information

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy

More information

Reversals of Signal-Posterior Monotonicity for Any Bounded Prior

Reversals of Signal-Posterior Monotonicity for Any Bounded Prior Reversls of Signl-Posterior Monotonicity for Any Bounded Prior Christopher P. Chmbers Pul J. Hely Abstrct Pul Milgrom (The Bell Journl of Economics, 12(2): 380 391) showed tht if the strict monotone likelihood

More information

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 17

Discrete Mathematics and Probability Theory Summer 2014 James Cook Note 17 CS 70 Discrete Mthemtics nd Proility Theory Summer 2014 Jmes Cook Note 17 I.I.D. Rndom Vriles Estimting the is of coin Question: We wnt to estimte the proportion p of Democrts in the US popultion, y tking

More information

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s

A5682: Introduction to Cosmology Course Notes. 4. Cosmic Dynamics: The Friedmann Equation. = GM s 4. Cosmic Dynmics: The Friedmnn Eqution Reding: Chpter 4 Newtonin Derivtion of the Friedmnn Eqution Consider n isolted sphere of rdius R s nd mss M s, in uniform, isotropic expnsion (Hubble flow). The

More information

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space.

Space Curves. Recall the parametric equations of a curve in xy-plane and compare them with parametric equations of a curve in space. Clculus 3 Li Vs Spce Curves Recll the prmetric equtions of curve in xy-plne nd compre them with prmetric equtions of curve in spce. Prmetric curve in plne x = x(t) y = y(t) Prmetric curve in spce x = x(t)

More information

A General Dynamic Inequality of Opial Type

A General Dynamic Inequality of Opial Type Appl Mth Inf Sci No 3-5 (26) Applied Mthemtics & Informtion Sciences An Interntionl Journl http://dxdoiorg/2785/mis/bos7-mis A Generl Dynmic Inequlity of Opil Type Rvi Agrwl Mrtin Bohner 2 Donl O Regn

More information

Chaos in drive systems

Chaos in drive systems Applied nd Computtionl Mechnics 1 (2007) 121-126 Chos in drive systems Ctird Krtochvíl, Mrtin Houfek, Josef Koláčný b, Romn Kříž b, Lubomír Houfek,*, Jiří Krejs Institute of Thermomechnics, brnch Brno,

More information

Riemann is the Mann! (But Lebesgue may besgue to differ.)

Riemann is the Mann! (But Lebesgue may besgue to differ.) Riemnn is the Mnn! (But Lebesgue my besgue to differ.) Leo Livshits My 2, 2008 1 For finite intervls in R We hve seen in clss tht every continuous function f : [, b] R hs the property tht for every ɛ >

More information

A Signal-Level Fusion Model for Image-Based Change Detection in DARPA's Dynamic Database System

A Signal-Level Fusion Model for Image-Based Change Detection in DARPA's Dynamic Database System SPIE Aerosense 001 Conference on Signl Processing, Sensor Fusion, nd Trget Recognition X, April 16-0, Orlndo FL. (Minor errors in published version corrected.) A Signl-Level Fusion Model for Imge-Bsed

More information

SESSION 2 Exponential and Logarithmic Functions. Math 30-1 R 3. (Revisit, Review and Revive)

SESSION 2 Exponential and Logarithmic Functions. Math 30-1 R 3. (Revisit, Review and Revive) Mth 0-1 R (Revisit, Review nd Revive) SESSION Eponentil nd Logrithmic Functions 1 Eponentil nd Logrithmic Functions Key Concepts The Eponent Lws m n 1 n n m m n m n m mn m m m m mn m m m b n b b b Simplify

More information

Recitation 3: More Applications of the Derivative

Recitation 3: More Applications of the Derivative Mth 1c TA: Pdric Brtlett Recittion 3: More Applictions of the Derivtive Week 3 Cltech 2012 1 Rndom Question Question 1 A grph consists of the following: A set V of vertices. A set E of edges where ech

More information

Measuring Electron Work Function in Metal

Measuring Electron Work Function in Metal n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd

More information

Jack Simons, Henry Eyring Scientist and Professor Chemistry Department University of Utah

Jack Simons, Henry Eyring Scientist and Professor Chemistry Department University of Utah 1. Born-Oppenheimer pprox.- energy surfces 2. Men-field (Hrtree-Fock) theory- orbitls 3. Pros nd cons of HF- RHF, UHF 4. Beyond HF- why? 5. First, one usully does HF-how? 6. Bsis sets nd nottions 7. MPn,

More information

Solution for Assignment 1 : Intro to Probability and Statistics, PAC learning

Solution for Assignment 1 : Intro to Probability and Statistics, PAC learning Solution for Assignment 1 : Intro to Probbility nd Sttistics, PAC lerning 10-701/15-781: Mchine Lerning (Fll 004) Due: Sept. 30th 004, Thursdy, Strt of clss Question 1. Bsic Probbility ( 18 pts) 1.1 (

More information

Math 360: A primitive integral and elementary functions

Math 360: A primitive integral and elementary functions Mth 360: A primitive integrl nd elementry functions D. DeTurck University of Pennsylvni October 16, 2017 D. DeTurck Mth 360 001 2017C: Integrl/functions 1 / 32 Setup for the integrl prtitions Definition:

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Introduction Lecture 3 Gussin Probbility Distribution Gussin probbility distribution is perhps the most used distribution in ll of science. lso clled bell shped curve or norml distribution Unlike the binomil

More information

Monte Carlo method in solving numerical integration and differential equation

Monte Carlo method in solving numerical integration and differential equation Monte Crlo method in solving numericl integrtion nd differentil eqution Ye Jin Chemistry Deprtment Duke University yj66@duke.edu Abstrct: Monte Crlo method is commonly used in rel physics problem. The

More information

Motion of Electrons in Electric and Magnetic Fields & Measurement of the Charge to Mass Ratio of Electrons

Motion of Electrons in Electric and Magnetic Fields & Measurement of the Charge to Mass Ratio of Electrons n eperiment of the Electron topic Motion of Electrons in Electric nd Mgnetic Fields & Mesurement of the Chrge to Mss Rtio of Electrons Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1.

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

Electron Correlation Methods

Electron Correlation Methods Electron Correltion Methods HF method: electron-electron interction is replced by n verge interction E HF c E 0 E HF E 0 exct ground stte energy E HF HF energy for given bsis set HF Ec 0 - represents mesure

More information

12. DYNAMIC ANALYSIS. Force Equilibrium is Fundamental in the Dynamic Analysis of Structures 12.1 INTRODUCTION

12. DYNAMIC ANALYSIS. Force Equilibrium is Fundamental in the Dynamic Analysis of Structures 12.1 INTRODUCTION 12. DYNAMIC ANALYSIS Force Equilibrium is Fundmentl in the Dynmic Anlysis of Structures 12.1 INTRODUCTION { XE "Newton's Second Lw" }All rel physicl structures behve dynmiclly when subjected to lods or

More information

MAT187H1F Lec0101 Burbulla

MAT187H1F Lec0101 Burbulla Chpter 6 Lecture Notes Review nd Two New Sections Sprint 17 Net Distnce nd Totl Distnce Trvelled Suppose s is the position of prticle t time t for t [, b]. Then v dt = s (t) dt = s(b) s(). s(b) s() is

More information

VSP 1.5. Main Menu. SEG/Houston 2005 Annual Meeting 2625

VSP 1.5. Main Menu. SEG/Houston 2005 Annual Meeting 2625 3C VSP Tomogrphy Inversion for Subsurfce P- nd S-Wve Velocity Distribution Yingping Li, Xiomin Zho, Rn Zhou, nd Dvid Dushmn, VSFusion, A Bker Hughes CGG Compny Peter Jnk, TOTAL E&P USA, Inc. Summry First

More information

2D1431 Machine Learning Lab 3: Reinforcement Learning

2D1431 Machine Learning Lab 3: Reinforcement Learning 2D1431 Mchine Lerning Lb 3: Reinforcement Lerning Frnk Hoffmnn modified by Örjn Ekeberg December 7, 2004 1 Introduction In this lb you will lern bout dynmic progrmming nd reinforcement lerning. It is ssumed

More information

(See Notes on Spontaneous Emission)

(See Notes on Spontaneous Emission) ECE 240 for Cvity from ECE 240 (See Notes on ) Quntum Rdition in ECE 240 Lsers - Fll 2017 Lecture 11 1 Free Spce ECE 240 for Cvity from Quntum Rdition in The electromgnetic mode density in free spce is

More information