A Hartree-Fock Calculation of the Water Molecule

Size: px
Start display at page:

Download "A Hartree-Fock Calculation of the Water Molecule"

Transcription

1 Chemistry 460 Fall 2017 Dr. Jea M. Stadard Nvember 29, 2017 A Hartree-Fck Calculati f the Water Mlecule Itrducti A example Hartree-Fck calculati f the water mlecule will be preseted. I this case, the water mlecule will have its gemetry fixed at the experimetal values f bd legths (R(O-H)=0.95 Å) ad bd agle ( H-O-H= ). Thus, the electric eergy ad wavefucti will be cmputed fr fixed uclear psitis; this is kw as a sigle-pit eergy calculati. A miimal basis set f atmic rbital fuctis will be emplyed. Mlecular structure ad crdiates Fr the purpses f the example calculati, sftware packages such as Gaussia 09 psiti the water mlecule such that the atms lie i the yz-plae with the ceter f mass at the rigi; this is kw as the stadard rietati. I the case f water with the specified bd legths ad agles, the cartesia crdiates f the atms are shw i Table 1. Ntice that the y- ad z-crdiate values f the hydrge atms are symmetric r atisymmetric abut the xyge atm psiti, which allws fr easy iclusi f the C 2v symmetry aspects f the water mlecule i the Hartree-Fck calculatis. Table 1. Atmic crdiates (i Å) f the water mlecule i its stadard rietati (frm Gaussia 09 lg file) Ceter Atmic Atmic Crdiates (Agstrms) Number Number Type X Y Z Atmic rbital basis fuctis The water mlecule has a ttal f 10 electrs, eight frm the xyge atm ad e each frm the hydrge atms. Therefre, fr a clsed shell mlecular system like water i its grud state with 10 ttal electrs, the wavefucti i the frm f a Slater Determiat is Ψ H2 O = 1 10! φ 1 φ 1 φ 2 φ 2 φ 3 φ 3 φ 4 φ 4 φ 5 φ 5. (1) The fuctis φ i fr water are mlecular rbitals defied usig the LCAO-MO apprximati, ( ) = c µi f µ ( 1) φ i 1 K. (2) µ=1 Here, the terms c µi crrespd t liear cefficiets, the fuctis f µ are the atmic rbital basis fuctis, ad K is the ttal umber f atmic rbital basis fuctis used t represet the mlecular rbitals. I this example calculati, a miimal basis set will be used which csists f 1s basis fuctis fr each H atm, ad the 1s, 2s, ad set f 2p (2p x, 2p y, 2p z ) basis fuctis fr O atm. I Gaussia 09, a typical basis set f this type is called STO-3G, ad fr water csists f 7 basis fuctis. The umberig f the basis fuctis fr the rest f this example is give i Table 2.

2 2 Table 2. Basis fuctis fr the HF/STO-3G calculati f the water mlecule. Basis fucti # Basis fucti type 1 1s O 2 2s O 3 2p x O 4 2p y O 5 2p z O 6 1s H a 7 1s H b Hartree-Fck-Rtha equatis Miimizig the expectati value fr the eergy f the Slater Determiat with the LCAO-MO apprximati fr the mlecular rbitals yields the Hartree-Fck-Rtha (H-F-R) equatis. Fr water with K=7 basis fuctis, the H-F-R equatis are 7 ( F µν ε i S µν ) c νi = 0, µ =1, 2, 7. (3) ν=1 Here, F µν are Fck itegrals, S µν are verlap itegrals, ε i are the rbital eergies, ad the c νi are the liear cefficiets. Overlap itegrals Defiig the terms i the H-F-R equatis, the verlap itegrals S µν are itegrals ver pairs f the atmic rbital basis fuctis, S µν = f µ (1) f ν (1). (4) Fr water, there are 7 7 = 49 verlap itegrals. Hwever, because the rder f the prduct f fuctis i the itegrad des t matter, we have that S µν = S νµ, ad therefre there are fewer uique values (28 ttal). The values f the verlap itegrals S µν ca be displayed i matrix frm where the first idex f the elemet ( µ i this case) crrespds t the rw ad the secd idex (ν i this case) crrespds t the clum i the matrix. Fr the STO-3G basis set with the basis fuctis specified i the rder give i Table 2, the verlap matrix S is shw i Figure 1. Nte that ly the lwer prti is shw because the upper prti is related by symmetry sice S µν = S νµ. S = # & Figure 1. Overlap matrix S fr HF/STO-3G calculati f water.

3 I the verlap matrix, te that all the diagal elemets S µµ equal 1 because f rmalizati f the basis fuctis. I additi, each 2p-type basis fucti the xyge atm is rthgal ( S µν = 0 ) t the ther 2p-type basis fuctis ad t the 1s ad 2s basis fuctis the xyge atm. Nte hwever, that the 1s ad 2s basis fuctis xyge are t rthgal; their verlap crrespds t elemet S 21, which equals This lack f rthgality is a result f the chice f a gaussia frm fr these basis fuctis istead f usig the eigefuctis f a e-electr Hamiltia peratr (which wuld be rthgal). This is cmm practice fr s-type basis fuctis the same uclear ceter, as well as whe multiple sets f p-type r higher agular mmetum basis fuctis are emplyed. Fially, it shuld als be ted that basis fuctis differet uclear ceters are t i geeral rthgal; thus, mst f the xyge atm basis fuctis verlap with thse the hydrge atms. The excepti is the xyge 2p x basis fucti, which gives zer verlap with the hydrge basis fuctis due t cacellati (equal but ppsite verlap abve ad belw the plae f the mlecule). 3 Fck itegrals The Fck itegrals F µν i Equati (3) are defied as F µν = H µν K K + P λσ [ µν λσ ( µλ νσ ) ]. (5) λ=1 σ =1 ( ) 1 2 The terms H µν crrespd t the e-electr Hamiltia itegrals, H µν = f µ ( 1) 1 2 M ˆ 2 1 Z α f ν 1 r α=1 α1 ( ). (6) Here, the term 1 2 ˆ 1 2 crrespds t the kietic eergy peratr fr electr 1, while the term Z α crrespds t the ptetial eergy peratr fr the electr-uclear attractis, where Z α is the atmic umber f ucleus α ad r α1 is the distace betwee ucleus α ad electr 1. The e-electr itergrals are usually evaluated i tw parts, the kietic eergy itegrals T µν ad the ptetial eergy itegrals V µν. M α=1 r α1 Kietic eergy itegrals As might be expected, the kietic eergy itegrals T µν are defied as T µν = f µ ( 1) 1 2 ˆ 1 2 f ν ( 1). (7) Fr a calculati f water with the STO-3G basis set as specified i Table 2, the kietic eergy matrix T is shw i Figure 2. Agai, ly the lwer prti is shw because the upper prti is related by symmetry sice T µν = T νµ. T = # & Figure 2. Kietic eergy matrix T fr HF/STO-3G calculati f water.

4 4 Fr the kietic eergy elemets T µν, te that the diagal elemets are i geeral much larger i magitude tha the ff-diagal elemets, ad the diagal elemets are always psitive. The ff-diagal elemets are geerally small i magitude ad may be either psitive r egative. Ptetial eergy itegrals The ptetial eergy itegrals V µν are defied as V µν = f µ ( 1) M Z α f ν 1 r α1 α=1 ( ). (8) Fr ur water calculati at the HF/STO-3G level, the kietic eergy matrix T is shw i Figure 3. Agai, ly the lwer prti is shw because the upper prti is related by symmetry sice V µν = V νµ. V = # & Figure 3. Ptetial eergy matrix V fr HF/STO-3G calculati f water. Here we see that the ptetial eergy diagal elemets V µµ are i geeral much larger i magitude tha the ffdiagal elemets. The diagal elemets are always egative; this is because the electr-uclear iteracti fr electrs i the same rbital is always attractive (i.e., egative). The ff-diagal elemets are agai small i magitude ad may be either psitive r egative. Oe-electr Hamiltia itegrals The e-electr kietic eergy ad ptetial eergy itegrals may be cmbied t frm the e-electr Hamiltia itegrals, H µν, usig the relati H µν = T µν + V µν, (9) r H = T + V i matrix frm. The e-electr itegrals H µν are shw i matrix frmat i Figure 4. H = # & Figure 4. Oe-electr Hamiltia matrix H fr HF/STO-3G calculati f water.

5 Tw-electr itegrals The ext step is t cmpute the tw-electr itegrals frm Equati (5). The terms µν λσ ( ) ad µλ νσ ( ) represet tw-electr repulsi itegrals frm the Culmb ad Exchage terms i the Fck peratr, 5 ( µν λσ ) = f µ ( 1) f λ ( 2) ( µλ νσ ) = f µ ( 1) f ν ( 2) 1 r 12 f ν 1 ( ) f σ 2 ( ) 1 r 12 f λ 1 ( ) f σ 2 ( ). (10) The umber f tw-electr itegrals that must be cmputed is K 4, where K is the umber f basis fuctis. Fr the HF/STO-3G calculati f water, K=7, s the umber f tw-electr itegrals t be cmputed is Because f the symmetry f the water mlecule, this umber is reduced t a mere 406 itegrals. Eve that may wuld take a lt f space t list a page, s their umerical values will t be icluded here. Desity matrix elemets ad iitial guess Fially, the terms P λσ i the H-F-R equatis are desity matrix elemets, * P λσ = 2 c λi c σi, i=1 (11) where the cs are the liear cefficiets f the LCAO-MO expasi. Because f the depedece f the desity matrix elemets the liear cefficiets f the LCAO-MO expasi, we have t make a guess at these values i rder t cstruct the Fck itegrals ad begi the calculati. Gaussia 09 uses as its default fr mst systems a guess fr the cefficiets frm a fairly simple mdel kw as exteded Hückel thery. Oly the cefficiets fr the ccupied MOs are required t frm the desity matrix; te that the sum i Equati (11) ges up t rather tha K. Thus, fr the five ccupied MOs f water, the iitial guess fr the cefficiets frm exteded Hückel thery is give i Table 3. Table 3. Cefficiets c µi f the iitial guess fr the ccupied mlecular rbitals f water MO: O 1S O 2S O 2PX O 2PY O 2PZ Ha 1S Hb 1S T begi the first cycle f slvig the H-F-R equatis, the cefficiets f the iitial guess are used t frm the desity matrix elemets, P λσ, usig Equati (11). Fr water, the iitial desity matrix P is give i Figure 5.

6 6 P = # & Figure 5. Iitial desity matrix P fr HF/STO-3G calculati f water based exteded Hückel guess. Fck matrix elemets frm iitial guess Fially, the Fck matrix elemets F µν may be frmed frm the e-electr Hamiltia itegrals H µν, the desity matrix elemets P λσ, ad the tw-electr itegrals. Cmbiig these yields the iitial Fck matrix, F, give i Figure 6. F = # & Figure 6. Iitial Fck matrix F fr HF/STO-3G calculati f water. Slvig the secular determiat At this pit, the secular determiat, which is K K i size, may be set equal t zer ad slved, det F ε S = 0, (12) where each elemet f the determiat crrespds t the factr F µν ε S µν. Sluti f the secular determiat yields K mlecular rbital eergies, ε i, i = 1, 2, K. The first f these MO eergies crrespd t ccupied MOs, while the remaiig higher MO eergies crrespd t the virtual MOs. Fr water, as stated previusly, the first five MOs are ccupied ad the remaiig tw are virtual. Obtaiig the ew cefficiets T btai the cefficiets c µi fr each MO, the mlecular rbital eergies ε i are substituted e-at-a-time it the H-F-R equatis, Equati (3), ad a system f K liear equatis is slved. Whe this is carried ut usig the Fck matrix cstructed frm the iitial guess, ew cefficiets are btaied; these are referred t as the cefficiets fr cycle 2, sice cycle 1 refers t the iitial cefficiets. The cefficiets f the ccupied MOs fr cycle 2 are give i Table 4; te that cefficiets fr the virtual rbitals als may be btaied but are t shw here.

7 7 Table 4. Cefficiets c µi fr the ccupied mlecular rbitals f water at cycle 2 f the iterative sluti f the H-F-R equatis MO: O 1S O 2S O 2PX O 2PY O 2PZ Ha 1S Hb 1S Whe cmparig the cefficiets frm cycle 1 t thse frm cycle 2, it ca be see that there are umerus quatitative chages t the cefficiets, but qualitatively there is t much differece. This suggests that the iitial guess was pretty gd. Hartree-Fck eergy The iterative sluti prcess fr the H-F-R equati ctiues fr several mre cycles. The sluti is csidered t be cverged whe the chages i the cefficiets, desity matrix, MO eergies, ad ttal eergy (r sme cmbiati theref) frm e cycle t the ext drp belw specified umerical threshhlds. The Hartree-Fck eergy (i.e., the expectati value E f the Slater determiat wavefucti) may be calculated usig the fllwig equati, ) E = & 2ε i ( 2J ij K ij ) *. (13) ( j=1 + i=1 Alterately, usig the defiiti f the rbital eergy ε i as the expectati value f the Fck peratr, we have ε i = φ i ˆF φi = φ i 1 2 M ˆ 2 1 Z α φ i + φ i 2Ĵ j r ˆK j φ i α1 α=1 j=1 (14) ε i = H ii ( ) + 2J ij K ij. j=1 Nte that the e-electr Hamiltia itegral H ii is the same as the e-electr eigevalue ε i defied i class. Substitutig Equati (14) it Equati (13) fr e factr f ε i yields a alterate frm fr the expectati value f the eergy, E = ( ε i + H ii ). (15) i=1

8 The result give i Equati (15) fr E des t iclude the uclear-uclear repulsi eergy, V NN, which equals 8 V NN = M Z α Z β, α=1 r αβ (16) where M crrespds t the umber f uclei, Z α ad Z β are the atmic umbers f uclei α ad β, respectively, ad r αβ is the distace betwee the tw uclei. Sice the uclei are fixed i place, this term just ctributes a cstat amut t the ttal eergy. Icludig the uclear-uclear repulsi, the ttal Hartree-Fck eergy (referred t as E el i the prjects ad ther haduts) is E el = E + V NN = ( ε i + H ii ) + V NN. i=1 (17) Usig Gaussia 09, the HF/STO-3G calculati f the water mlecule takes 7 cycles t reach cvergece. The ttal Hartree-Fck eergy f water at each cycle is shw i Table 5. Table 5. Hartree-Fck eergy (i hartrees) at each cycle f the HF/STO-3G calculati f water. Cycle E el (hartrees) Frm these results, we see that the iitial guess was ff cmpared t the cverged result by hartrees, r abut 43 kcal/ml. After 7 cycles, the Hartree-Fck eergy is cverged t hartrees, r abut kcal/ml. Sice this eergy was btaied usig a apprximate wavefucti, the Variati Priciple tells us it is t high relative t the exact eergy. Use f a larger basis set ad icrprati f electr crrelati effects will lwer the eergy ad brig it clser t the exact result. Cverged MO cefficiets The fial MO cefficiets c µi ad eigevalues ε i fr all the ccupied ad virtual rbitals f water are preseted i Table 6.

9 Table 6. Cverged MO eigevalues ε i ad cefficiets c µi fr the ccupied (1-5) ad virtual (6, 7) mlecular rbitals f water at the HF/STO-3G level f thery MO: Eigevalues: (a.u.) 1 O 1S O 2S O 2PX O 2PY O 2PZ Ha 1S Hb 1S MO: 6 7 Eigevalues: (a.u.) 1 O 1S O 2S O 2PX O 2PY O 2PZ Ha 1S Hb 1S The mlecular rbital eergies (r eigevalues) are listed fr all seve MOs i atmic uits. These mlecular rbital eergies are the eigevalues (ε i s) f the Hartree-Fck-Rtha equatis. Ntice that i geeral the ccupied MOs have egative rbital eergies (idicatig that the electrs i these rbitals are bud t the uclei i the mlecule), while the uccupied (r virtual) MOs have psitive rbital eergies. Als tice that fr water the first MO has a eigevalue that is much lwer tha ay f the thers. This crrespds t a mlecular rbital csistig almst etirely f the 1s cre rbital the xyge atm. I mst cases, cre rbitals that d t participate i the bdig have very lw eergy eigevalues. Belw the eigevalues, each f the seve atmic rbital (AO) basis fuctis is listed. The atm which each AO is lcated is listed by atmic symbl, ad the type f AO is als listed. Fr example, fr the tw hydrge atms, labeled Ha ad Hb, the sigle AOs listed fr thse atms are f 1s-type (AOs 6 ad 7). Fr the xyge atm, five AOs are listed. Tw are s-type (crrespdig rughly t the 1s ad 2s atmic rbitals fr xyge atm) ad a set f three 2p-type rbitals is als listed (crrespdig rughly t the atmic 2p x, 2p y, ad2p z rbitals fr xyge atm). Fr each MO, the cefficiets c µi i the liear expasi f atmic rbitals is give. These cefficiets are listed belw the MO eigevalue. The cefficiets ca be used t cstruct the MOs frm the AO basis set usig the equati K φ i = c µi f µ. (1) µ=1 I this equati, φ i represets e f the seve MOs fr a miimal basis set calculati water, the f µ fuctis are the atmic rbital basis fuctis, c µi are the cefficiets, ad K=7 (the ttal umber f basis fuctis).

10 10 As a example, csider MO 1. We ca use the cefficiets give i the utput t express this MO as a sum f cefficiets times AOs. I specific, φ 1 = f 1sO f 2sO f 2pzO f 1sHa f 1sHb. (2) Frm the MO cefficiets, it is clear that MO 1 crrespds primarily t the cre 1s rbital the xyge atm, sice the ly cefficiet that is greater tha 0.03 is fr the 1s AO xyge. Next, csider the expasi fr MO 2, which is give by φ 2 = f 1sO f 2sO f 2 pzo f 1sHa f 1sHb. (3) This mlecular rbital ctais atmic rbitals bth f the hydrge atms ad the xyge atm (it turs ut t be a bdig rbital fr the O-H bds). The ther MOs ca be writte dw i a similar maer. It is useful t lk at the three dimesial shapes f the mlecular rbitals. The MOs frm the miimal basis set calculati f the water mlecule are shw i Figure 1, with the excepti f MO 1, which is just the cre 1s rbital f xyge. Oe thig t tice abut the MOs determied usig the Hartree-Fck methd is that they are geerally very delcalized. Allwig fr the delcalizati, we ca see that MO 2 ad MO 3 crrespd apprximately t O-H bdig rbitals. Because f the symmetry f the water mlecule, MO 2 is a symmetric cmbiati ad MO 3 is a atisymmetric cmbiati f the tw O-H bds. I additi, MO 4 is primarily a le pair the xyge atm i the plae f the mlecule, thugh there is sme ctributi frm the hydrge atm rbitals. Fially, MO 5 is a le pair rbital the xyge atm perpedicular t the plae f the mlecule. MO 2 MO 3 MO 4 MO 5 Figure 1. Valece mlecular rbitals fr the water mlecule calculated at the HF/STO-3G level. MO 1, crrespdig t the cre 1s rbital f xyge, is t shw.

11 11 The delcalized MOs that result frm the Hartree-Fck sluti ca be lcalized t appear mre like what we rdiarily thik f as typical bdig ad le pair rbitals by a variety f methds called rbital lcalizati schemes. I these methds, liear cmbiatis f the rigial MOs are cstructed that are still eigefuctis f the Hartree-Fck equatis but that als miimize r maximize a certai prperty, such as electr repulsi. This leads t a set f lcalized mlecular rbitals. Typical lcalizati schemes attempt t miimize the ttal repulsi eergy betwee pairs f mlecular rbitals give by l=1 m=i+1 φ l ( 1) 2 1 r 12 φ m ( 2) 2 dτ 1 dτ 2. Here, the MOs φ l ad φ m are liear cmbiatis f the rigial delcalized mlecular rbitals; fr example, φ l = i=1 λ li φ i Lcalized MOs 2-5 fr water are shw i Figure 2. MO 1 is still essetially the same, crrespdig t the 1s rbital xyge. MOs 2 ad 3 w mre clsely represet rbitals lcalized alg each f the O-H bds. MOs 4 ad 5 appear t be early equivalet le pair rbitals the O atm, thugh e is pitig back it the paper at a agle ad the ther is pitig ut f the paper at a agle (much like tw sp 3 hybrids). MO 2 MO 3 MO 4 MO 5 Figure 2. Lcalized mlecular rbitals fr the water mlecule calculated at the HF/STO-3G level. Lcalized MO 1, crrespdig t the cre 1s rbital f xyge, is t shw.

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quatum Mechaics fr Scietists ad Egieers David Miller Time-depedet perturbati thery Time-depedet perturbati thery Time-depedet perturbati basics Time-depedet perturbati thery Fr time-depedet prblems csider

More information

Solutions. Definitions pertaining to solutions

Solutions. Definitions pertaining to solutions Slutis Defiitis pertaiig t slutis Slute is the substace that is disslved. It is usually preset i the smaller amut. Slvet is the substace that des the disslvig. It is usually preset i the larger amut. Slubility

More information

5.80 Small-Molecule Spectroscopy and Dynamics

5.80 Small-Molecule Spectroscopy and Dynamics MIT OpeCurseWare http://cw.mit.edu 5.8 Small-Mlecule Spectrscpy ad Dyamics Fall 8 Fr ifrmati abut citig these materials r ur Terms f Use, visit: http://cw.mit.edu/terms. 5.8 Lecture #33 Fall, 8 Page f

More information

Intermediate Division Solutions

Intermediate Division Solutions Itermediate Divisi Slutis 1. Cmpute the largest 4-digit umber f the frm ABBA which is exactly divisible by 7. Sluti ABBA 1000A + 100B +10B+A 1001A + 110B 1001 is divisible by 7 (1001 7 143), s 1001A is

More information

Study of Energy Eigenvalues of Three Dimensional. Quantum Wires with Variable Cross Section

Study of Energy Eigenvalues of Three Dimensional. Quantum Wires with Variable Cross Section Adv. Studies Ther. Phys. Vl. 3 009. 5 3-0 Study f Eergy Eigevalues f Three Dimesial Quatum Wires with Variale Crss Secti M.. Sltai Erde Msa Departmet f physics Islamic Aad Uiversity Share-ey rach Ira alrevahidi@yah.cm

More information

Chapter 4. Problem Solutions

Chapter 4. Problem Solutions Chapter 4. Prblem Slutis. The great majrity f alpha particles pass thrugh gases ad thi metal fils with deflectis. T what cclusi abut atmic structure des this bservati lead? The fact that mst particles

More information

Identical Particles. We would like to move from the quantum theory of hydrogen to that for the rest of the periodic table

Identical Particles. We would like to move from the quantum theory of hydrogen to that for the rest of the periodic table We wuld like t ve fr the quatu thery f hydrge t that fr the rest f the peridic table Oe electr at t ultielectr ats This is cplicated by the iteracti f the electrs with each ther ad by the fact that the

More information

are specified , are linearly independent Otherwise, they are linearly dependent, and one is expressed by a linear combination of the others

are specified , are linearly independent Otherwise, they are linearly dependent, and one is expressed by a linear combination of the others Chater 3. Higher Order Liear ODEs Kreyszig by YHLee;4; 3-3. Hmgeeus Liear ODEs The stadard frm f the th rder liear ODE ( ) ( ) = : hmgeeus if r( ) = y y y y r Hmgeeus Liear ODE: Suersiti Pricile, Geeral

More information

Chapter 3.1: Polynomial Functions

Chapter 3.1: Polynomial Functions Ntes 3.1: Ply Fucs Chapter 3.1: Plymial Fuctis I Algebra I ad Algebra II, yu ecutered sme very famus plymial fuctis. I this secti, yu will meet may ther members f the plymial family, what sets them apart

More information

D.S.G. POLLOCK: TOPICS IN TIME-SERIES ANALYSIS STATISTICAL FOURIER ANALYSIS

D.S.G. POLLOCK: TOPICS IN TIME-SERIES ANALYSIS STATISTICAL FOURIER ANALYSIS STATISTICAL FOURIER ANALYSIS The Furier Represetati f a Sequece Accrdig t the basic result f Furier aalysis, it is always pssible t apprximate a arbitrary aalytic fucti defied ver a fiite iterval f the

More information

Physical Chemistry Laboratory I CHEM 445 Experiment 2 Partial Molar Volume (Revised, 01/13/03)

Physical Chemistry Laboratory I CHEM 445 Experiment 2 Partial Molar Volume (Revised, 01/13/03) Physical Chemistry Labratry I CHEM 445 Experimet Partial Mlar lume (Revised, 0/3/03) lume is, t a gd apprximati, a additive prperty. Certaily this apprximati is used i preparig slutis whse ccetratis are

More information

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ]

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ] ENGI 441 Cetral Limit Therem Page 11-01 Cetral Limit Therem [Navidi, secti 4.11; Devre sectis 5.3-5.4] If X i is t rmally distributed, but E X i, V X i ad is large (apprximately 30 r mre), the, t a gd

More information

[1 & α(t & T 1. ' ρ 1

[1 & α(t & T 1. ' ρ 1 NAME 89.304 - IGNEOUS & METAMORPHIC PETROLOGY DENSITY & VISCOSITY OF MAGMAS I. Desity The desity (mass/vlume) f a magma is a imprtat parameter which plays a rle i a umber f aspects f magma behavir ad evluti.

More information

x 2 x 3 x b 0, then a, b, c log x 1 log z log x log y 1 logb log a dy 4. dx As tangent is perpendicular to the x axis, slope

x 2 x 3 x b 0, then a, b, c log x 1 log z log x log y 1 logb log a dy 4. dx As tangent is perpendicular to the x axis, slope The agle betwee the tagets draw t the parabla y = frm the pit (-,) 5 9 6 Here give pit lies the directri, hece the agle betwee the tagets frm that pit right agle Ratig :EASY The umber f values f c such

More information

The Excel FFT Function v1.1 P. T. Debevec February 12, The discrete Fourier transform may be used to identify periodic structures in time ht.

The Excel FFT Function v1.1 P. T. Debevec February 12, The discrete Fourier transform may be used to identify periodic structures in time ht. The Excel FFT Fucti v P T Debevec February 2, 26 The discrete Furier trasfrm may be used t idetify peridic structures i time ht series data Suppse that a physical prcess is represeted by the fucti f time,

More information

cannot commute.) this idea, we can claim that the average value of the energy is the sum of such terms over all points in space:

cannot commute.) this idea, we can claim that the average value of the energy is the sum of such terms over all points in space: Che 441 Quatu Cheistry Ntes May, 3 rev VI. Apprxiate Slutis A. Variati Methd ad Huckel Mlecular Orbital (HMO) Calculatis Refereces: Liberles, Ch. 4, Atkis, Ch. 8, Paulig ad Wils Streitweiser, "MO Thery

More information

Electrostatics. . where,.(1.1) Maxwell Eqn. Total Charge. Two point charges r 12 distance apart in space

Electrostatics. . where,.(1.1) Maxwell Eqn. Total Charge. Two point charges r 12 distance apart in space Maxwell Eq. E ρ Electrstatics e. where,.(.) first term is the permittivity i vacuum 8.854x0 C /Nm secd term is electrical field stregth, frce/charge, v/m r N/C third term is the charge desity, C/m 3 E

More information

MATH Midterm Examination Victor Matveev October 26, 2016

MATH Midterm Examination Victor Matveev October 26, 2016 MATH 33- Midterm Examiati Victr Matveev Octber 6, 6. (5pts, mi) Suppse f(x) equals si x the iterval < x < (=), ad is a eve peridic extesi f this fucti t the rest f the real lie. Fid the csie series fr

More information

Axial Temperature Distribution in W-Tailored Optical Fibers

Axial Temperature Distribution in W-Tailored Optical Fibers Axial Temperature Distributi i W-Tailred Optical ibers Mhamed I. Shehata (m.ismail34@yah.cm), Mustafa H. Aly(drmsaly@gmail.cm) OSA Member, ad M. B. Saleh (Basheer@aast.edu) Arab Academy fr Sciece, Techlgy

More information

Grade 3 Mathematics Course Syllabus Prince George s County Public Schools

Grade 3 Mathematics Course Syllabus Prince George s County Public Schools Ctet Grade 3 Mathematics Curse Syllabus Price Gerge s Cuty Public Schls Prerequisites: Ne Curse Descripti: I Grade 3, istructial time shuld fcus fur critical areas: (1) develpig uderstadig f multiplicati

More information

Fourier Series & Fourier Transforms

Fourier Series & Fourier Transforms Experimet 1 Furier Series & Furier Trasfrms MATLAB Simulati Objectives Furier aalysis plays a imprtat rle i cmmuicati thery. The mai bjectives f this experimet are: 1) T gai a gd uderstadig ad practice

More information

Solutions to Midterm II. of the following equation consistent with the boundary condition stated u. y u x y

Solutions to Midterm II. of the following equation consistent with the boundary condition stated u. y u x y Sltis t Midterm II Prblem : (pts) Fid the mst geeral slti ( f the fllwig eqati csistet with the bdary cditi stated y 3 y the lie y () Slti : Sice the system () is liear the slti is give as a sperpsiti

More information

ALE 26. Equilibria for Cell Reactions. What happens to the cell potential as the reaction proceeds over time?

ALE 26. Equilibria for Cell Reactions. What happens to the cell potential as the reaction proceeds over time? Name Chem 163 Secti: Team Number: AL 26. quilibria fr Cell Reactis (Referece: 21.4 Silberberg 5 th editi) What happes t the ptetial as the reacti prceeds ver time? The Mdel: Basis fr the Nerst quati Previusly,

More information

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ]

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ] ENGI 441 Cetral Limit Therem Page 11-01 Cetral Limit Therem [Navidi, secti 4.11; Devre sectis 5.3-5.4] If X i is t rmally distributed, but E X i, V X i ad is large (apprximately 30 r mre), the, t a gd

More information

MATHEMATICS 9740/01 Paper 1 14 Sep hours

MATHEMATICS 9740/01 Paper 1 14 Sep hours Cadidate Name: Class: JC PRELIMINARY EXAM Higher MATHEMATICS 9740/0 Paper 4 Sep 06 3 hurs Additial Materials: Cver page Aswer papers List f Frmulae (MF5) READ THESE INSTRUCTIONS FIRST Write yur full ame

More information

u = A Z Chemistry 110 Fall 2010 Rayleigh-Jeans Law for Blackbody SI Units SI Units Secondary Units written in terms of Primary

u = A Z Chemistry 110 Fall 2010 Rayleigh-Jeans Law for Blackbody SI Units SI Units Secondary Units written in terms of Primary SI Uits Key Study Pits fr Petrucci et al., Secdary Uits writte i terms f Primary Capters 8 & 9 Nte: Fudametal cstats ad a peridic table will be prvided te midterm but equatis will t be give. Cemistry 0

More information

Multi-objective Programming Approach for. Fuzzy Linear Programming Problems

Multi-objective Programming Approach for. Fuzzy Linear Programming Problems Applied Mathematical Scieces Vl. 7 03. 37 8-87 HIKARI Ltd www.m-hikari.cm Multi-bective Prgrammig Apprach fr Fuzzy Liear Prgrammig Prblems P. Padia Departmet f Mathematics Schl f Advaced Scieces VIT Uiversity

More information

Modern Physics. Unit 15: Nuclear Structure and Decay Lecture 15.2: The Strong Force. Ron Reifenberger Professor of Physics Purdue University

Modern Physics. Unit 15: Nuclear Structure and Decay Lecture 15.2: The Strong Force. Ron Reifenberger Professor of Physics Purdue University Mder Physics Uit 15: Nuclear Structure ad Decay Lecture 15.: The Strg Frce R Reifeberger Prfessr f Physics Purdue Uiversity 1 Bidig eergy er ucle - the deuter Eergy (MeV) ~0.4fm B.E. A =.MeV/ = 1.1 MeV/ucle.

More information

Every gas consists of a large number of small particles called molecules moving with very high velocities in all possible directions.

Every gas consists of a large number of small particles called molecules moving with very high velocities in all possible directions. Kietic thery f gases ( Kietic thery was develped by Berlli, Jle, Clasis, axwell ad Bltzma etc. ad represets dyamic particle r micrscpic mdel fr differet gases sice it thrws light the behir f the particles

More information

A New Method for Finding an Optimal Solution. of Fully Interval Integer Transportation Problems

A New Method for Finding an Optimal Solution. of Fully Interval Integer Transportation Problems Applied Matheatical Scieces, Vl. 4, 200,. 37, 89-830 A New Methd fr Fidig a Optial Sluti f Fully Iterval Iteger Trasprtati Prbles P. Padia ad G. Nataraja Departet f Matheatics, Schl f Advaced Scieces,

More information

Unit -2 THEORY OF DILUTE SOLUTIONS

Unit -2 THEORY OF DILUTE SOLUTIONS Uit - THEORY OF DILUTE SOLUTIONS 1) hat is sluti? : It is a hmgeus mixture f tw r mre cmpuds. ) hat is dilute sluti? : It is a sluti i which slute ccetrati is very less. 3) Give a example fr slid- slid

More information

5.1 Two-Step Conditional Density Estimator

5.1 Two-Step Conditional Density Estimator 5.1 Tw-Step Cditial Desity Estimatr We ca write y = g(x) + e where g(x) is the cditial mea fucti ad e is the regressi errr. Let f e (e j x) be the cditial desity f e give X = x: The the cditial desity

More information

Hº = -690 kj/mol for ionization of n-propylene Hº = -757 kj/mol for ionization of isopropylene

Hº = -690 kj/mol for ionization of n-propylene Hº = -757 kj/mol for ionization of isopropylene Prblem 56. (a) (b) re egative º values are a idicati f mre stable secies. The º is mst egative fr the i-ryl ad -butyl is, bth f which ctai a alkyl substituet bded t the iized carb. Thus it aears that catis

More information

General Chemistry 1 (CHEM1141) Shawnee State University Fall 2016

General Chemistry 1 (CHEM1141) Shawnee State University Fall 2016 Geeral Chemistry 1 (CHEM1141) Shawee State Uiversity Fall 2016 September 23, 2016 Name E x a m # I C Please write yur full ame, ad the exam versi (IC) that yu have the scatr sheet! Please 0 check the bx

More information

1 The limitations of Hartree Fock approximation

1 The limitations of Hartree Fock approximation Chapter: Pst-Hartree Fck Methds - I The limitatins f Hartree Fck apprximatin The n electrn single determinant Hartree Fck wave functin is the variatinal best amng all pssible n electrn single determinants

More information

STRUCTURES IN MIKE 21. Flow over sluice gates A-1

STRUCTURES IN MIKE 21. Flow over sluice gates A-1 A-1 STRUCTURES IN MIKE 1 Fl ver luice gate Fr a give gemetry f the luice gate ad k ater level uptream ad dtream f the tructure, the fl rate, ca be determied thrugh the equati f eergy ad mmetum - ee B Pedere,

More information

Markov processes and the Kolmogorov equations

Markov processes and the Kolmogorov equations Chapter 6 Markv prcesses ad the Klmgrv equatis 6. Stchastic Differetial Equatis Csider the stchastic differetial equati: dx(t) =a(t X(t)) dt + (t X(t)) db(t): (SDE) Here a(t x) ad (t x) are give fuctis,

More information

LCAO APPROXIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (cation, anion or radical).

LCAO APPROXIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (cation, anion or radical). Principles f Organic Chemistry lecture 5, page LCAO APPROIMATIONS OF ORGANIC Pi MO SYSTEMS The allyl system (catin, anin r radical).. Draw mlecule and set up determinant. 2 3 0 3 C C 2 = 0 C 2 3 0 = -

More information

K [f(t)] 2 [ (st) /2 K A GENERALIZED MEIJER TRANSFORMATION. Ku(z) ()x) t -)-I e. K(z) r( + ) () (t 2 I) -1/2 e -zt dt, G. L. N. RAO L.

K [f(t)] 2 [ (st) /2 K A GENERALIZED MEIJER TRANSFORMATION. Ku(z) ()x) t -)-I e. K(z) r( + ) () (t 2 I) -1/2 e -zt dt, G. L. N. RAO L. Iterat. J. Math. & Math. Scl. Vl. 8 N. 2 (1985) 359-365 359 A GENERALIZED MEIJER TRANSFORMATION G. L. N. RAO Departmet f Mathematics Jamshedpur C-perative Cllege f the Rachi Uiversity Jamshedpur, Idia

More information

BIO752: Advanced Methods in Biostatistics, II TERM 2, 2010 T. A. Louis. BIO 752: MIDTERM EXAMINATION: ANSWERS 30 November 2010

BIO752: Advanced Methods in Biostatistics, II TERM 2, 2010 T. A. Louis. BIO 752: MIDTERM EXAMINATION: ANSWERS 30 November 2010 BIO752: Advaced Methds i Bistatistics, II TERM 2, 2010 T. A. Luis BIO 752: MIDTERM EXAMINATION: ANSWERS 30 Nvember 2010 Questi #1 (15 pits): Let X ad Y be radm variables with a jit distributi ad assume

More information

Lecture 21: Signal Subspaces and Sparsity

Lecture 21: Signal Subspaces and Sparsity ECE 830 Fall 00 Statistical Sigal Prcessig istructr: R. Nwak Lecture : Sigal Subspaces ad Sparsity Sigal Subspaces ad Sparsity Recall the classical liear sigal mdel: X = H + w, w N(0, where S = H, is a

More information

E o and the equilibrium constant, K

E o and the equilibrium constant, K lectrchemical measuremets (Ch -5 t 6). T state the relati betwee ad K. (D x -b, -). Frm galvaic cell vltage measuremet (a) K sp (D xercise -8, -) (b) K sp ad γ (D xercise -9) (c) K a (D xercise -G, -6)

More information

Fourier Method for Solving Transportation. Problems with Mixed Constraints

Fourier Method for Solving Transportation. Problems with Mixed Constraints It. J. Ctemp. Math. Scieces, Vl. 5, 200,. 28, 385-395 Furier Methd fr Slvig Trasprtati Prblems with Mixed Cstraits P. Padia ad G. Nataraja Departmet f Mathematics, Schl f Advaced Scieces V I T Uiversity,

More information

Examination No. 3 - Tuesday, Nov. 15

Examination No. 3 - Tuesday, Nov. 15 NAME (lease rit) SOLUTIONS ECE 35 - DEVICE ELECTRONICS Fall Semester 005 Examiati N 3 - Tuesday, Nv 5 3 4 5 The time fr examiati is hr 5 mi Studets are allwed t use 3 sheets f tes Please shw yur wrk, artial

More information

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER / Statistics ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER 1 018/019 DR. ANTHONY BROWN 8. Statistics 8.1. Measures of Cetre: Mea, Media ad Mode. If we have a series of umbers the

More information

RMO Sample Paper 1 Solutions :

RMO Sample Paper 1 Solutions : RMO Sample Paper Slutis :. The umber f arragemets withut ay restricti = 9! 3!3!3! The umber f arragemets with ly e set f the csecutive 3 letters = The umber f arragemets with ly tw sets f the csecutive

More information

Review for cumulative test

Review for cumulative test Hrs Math 3 review prblems Jauary, 01 cumulative: Chapters 1- page 1 Review fr cumulative test O Mday, Jauary 7, Hrs Math 3 will have a curse-wide cumulative test cverig Chapters 1-. Yu ca expect the test

More information

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples:

HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT. Examples: 5.6 4 Lecture #3-4 page HE ATOM & APPROXIMATION METHODS MORE GENERAL VARIATIONAL TREATMENT Do t restrict the wavefuctio to a sigle term! Could be a liear combiatio of several wavefuctios e.g. two terms:

More information

Chapter 5. Root Locus Techniques

Chapter 5. Root Locus Techniques Chapter 5 Rt Lcu Techique Itrducti Sytem perfrmace ad tability dt determied dby cled-lp l ple Typical cled-lp feedback ctrl ytem G Ope-lp TF KG H Zer -, - Ple 0, -, - K Lcati f ple eaily fud Variati f

More information

BC Calculus Review Sheet. converges. Use the integral: L 1

BC Calculus Review Sheet. converges. Use the integral: L 1 BC Clculus Review Sheet Whe yu see the wrds.. Fid the re f the uuded regi represeted y the itegrl (smetimes f ( ) clled hriztl imprper itegrl).. Fid the re f differet uuded regi uder f() frm (,], where

More information

Author. Introduction. Author. o Asmir Tobudic. ISE 599 Computational Modeling of Expressive Performance

Author. Introduction. Author. o Asmir Tobudic. ISE 599 Computational Modeling of Expressive Performance ISE 599 Cmputatial Mdelig f Expressive Perfrmace Playig Mzart by Aalgy: Learig Multi-level Timig ad Dyamics Strategies by Gerhard Widmer ad Asmir Tbudic Preseted by Tsug-Ha (Rbert) Chiag April 5, 2006

More information

Pipe Networks - Hardy Cross Method Page 1. Pipe Networks

Pipe Networks - Hardy Cross Method Page 1. Pipe Networks Pie Netwrks - Hardy Crss etd Page Pie Netwrks Itrducti A ie etwrk is a itercected set f ies likig e r mre surces t e r mre demad (delivery) its, ad ca ivlve ay umber f ies i series, bracig ies, ad arallel

More information

WEST VIRGINIA UNIVERSITY

WEST VIRGINIA UNIVERSITY WEST VIRGINIA UNIVERSITY PLASMA PHYSICS GROUP INTERNAL REPORT PL - 045 Mea Optical epth ad Optical Escape Factr fr Helium Trasitis i Helic Plasmas R.F. Bivi Nvember 000 Revised March 00 TABLE OF CONTENT.0

More information

, the random variable. and a sample size over the y-values 0:1:10.

, the random variable. and a sample size over the y-values 0:1:10. Lecture 3 (4//9) 000 HW PROBLEM 3(5pts) The estimatr i (c) f PROBLEM, p 000, where { } ~ iid bimial(,, is 000 e f the mst ppular statistics It is the estimatr f the ppulati prprti I PROBLEM we used simulatis

More information

The Acoustical Physics of a Standing Wave Tube

The Acoustical Physics of a Standing Wave Tube UIUC Physics 93POM/Physics 406POM The Physics f Music/Physics f Musical Istrumets The Acustical Physics f a Stadig Wave Tube A typical cylidrical-shaped stadig wave tube (SWT) {aa impedace tube} f legth

More information

Orthogonal transformations

Orthogonal transformations Orthogoal trasformatios October 12, 2014 1 Defiig property The squared legth of a vector is give by takig the dot product of a vector with itself, v 2 v v g ij v i v j A orthogoal trasformatio is a liear

More information

Ch. 1 Introduction to Estimation 1/15

Ch. 1 Introduction to Estimation 1/15 Ch. Itrducti t stimati /5 ample stimati Prblem: DSB R S f M f s f f f ; f, φ m tcsπf t + φ t f lectrics dds ise wt usually white BPF & mp t s t + w t st. lg. f & φ X udi mp cs π f + φ t Oscillatr w/ f

More information

Super-efficiency Models, Part II

Super-efficiency Models, Part II Super-efficiec Mdels, Part II Emilia Niskae The 4th f Nvember S steemiaalsi Ctets. Etesis t Variable Returs-t-Scale (0.4) S steemiaalsi Radial Super-efficiec Case Prblems with Radial Super-efficiec Case

More information

On the structure of space-time and matter as obtained from the Planck scale by period doubling in three and four dimensions

On the structure of space-time and matter as obtained from the Planck scale by period doubling in three and four dimensions O the structure f space-time ad matter as btaied frm the Plack scale by perid dublig i three ad fur dimesis Ari Leht Helsiki Uiversity f Techlgy Labratry f Materials Sciece P.O. Bx 600, FIN-0150 HUT Oe

More information

Principles of Organic Chemistry lecture 5, page 1

Principles of Organic Chemistry lecture 5, page 1 Principles f Organic Chemistry lecture 5, page 1 Bnding Mdels Fact: electrns hld mlecules tgether. Theries: mre than ne way t cnceptualize bnding. Let s fllw Carrll in the cnsideratin f tw theries f bnding.

More information

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces Hadut #a (pp. 1-39) Dyamic Respse f Secd Order Mechaical Systems with Viscus Dissipati frces d X d X + + = ext() t M D K X F dt dt Free Respse t iitial cditis ad F (t) = 0, Uderdamped, Critically Damped

More information

Study in Cylindrical Coordinates of the Heat Transfer Through a Tow Material-Thermal Impedance

Study in Cylindrical Coordinates of the Heat Transfer Through a Tow Material-Thermal Impedance Research ural f Applied Scieces, Egieerig ad echlgy (): 9-63, 3 ISSN: 4-749; e-issn: 4-7467 Maxwell Scietific Orgaiati, 3 Submitted: uly 4, Accepted: September 8, Published: May, 3 Study i Cylidrical Crdiates

More information

Rates and Mechanisms of Chemical Reactions

Rates and Mechanisms of Chemical Reactions Rates ad Mechaisms f Chemical Reactis Why sme rxs prceed very fast ad thers require days, mths r eve years t prduce a detectable amt f prduct? H (g) + F (g) HF (g) (very fast) 3 H (g) + N (g) NH 3 (g)

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

UNIVERSITY OF TECHNOLOGY. Department of Mathematics PROBABILITY THEORY, STATISTICS AND OPERATIONS RESEARCH GROUP. Memorandum COSOR 76-10

UNIVERSITY OF TECHNOLOGY. Department of Mathematics PROBABILITY THEORY, STATISTICS AND OPERATIONS RESEARCH GROUP. Memorandum COSOR 76-10 EI~~HOVEN UNIVERSITY OF TECHNOLOGY Departmet f Mathematics PROBABILITY THEORY, STATISTICS AND OPERATIONS RESEARCH GROUP Memradum COSOR 76-10 O a class f embedded Markv prcesses ad recurrece by F.H. Sims

More information

The Maximum-Likelihood Decoding Performance of Error-Correcting Codes

The Maximum-Likelihood Decoding Performance of Error-Correcting Codes The Maximum-Lielihood Decodig Performace of Error-Correctig Codes Hery D. Pfister ECE Departmet Texas A&M Uiversity August 27th, 2007 (rev. 0) November 2st, 203 (rev. ) Performace of Codes. Notatio X,

More information

Matching a Distribution by Matching Quantiles Estimation

Matching a Distribution by Matching Quantiles Estimation Jural f the America Statistical Assciati ISSN: 0162-1459 (Prit) 1537-274X (Olie) Jural hmepage: http://www.tadflie.cm/li/uasa20 Matchig a Distributi by Matchig Quatiles Estimati Niklas Sgurpuls, Qiwei

More information

CHAPTER 19 ELECTROCHEMISTRY

CHAPTER 19 ELECTROCHEMISTRY CHAPTR 19 LCTROCHMISTRY 19.1 We fllw the steps are described i detail i Secti 19.1 f the text. (a) The prblem is give i iic frm, s cmbiig Steps 1 ad, the half-reactis are: xidati: Fe Fe 3+ reducti: H O

More information

Control Systems. Controllability and Observability (Chapter 6)

Control Systems. Controllability and Observability (Chapter 6) 6.53 trl Systems trllaility ad Oservaility (hapter 6) Geeral Framewrk i State-Spae pprah Give a LTI system: x x u; y x (*) The system might e ustale r des t meet the required perfrmae spe. Hw a we imprve

More information

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka)

17 Phonons and conduction electrons in solids (Hiroshi Matsuoka) 7 Phoos ad coductio electros i solids Hiroshi Matsuoa I this chapter we will discuss a miimal microscopic model for phoos i a solid ad a miimal microscopic model for coductio electros i a simple metal.

More information

On the affine nonlinearity in circuit theory

On the affine nonlinearity in circuit theory O the affie liearity i circuit thery Emauel Gluski The Kieret Cllege the Sea f Galilee; ad Ort Braude Cllege (Carmiel), Israel. gluski@ee.bgu.ac.il; http://www.ee.bgu.ac.il/~gluski/ E. Gluski, O the affie

More information

ANALOG FILTERS. C. Sauriol. Algonquin College Ottawa, Ontario

ANALOG FILTERS. C. Sauriol. Algonquin College Ottawa, Ontario LOG ILT By. auril lgqui llege Ottawa, Otari ev. March 4, 003 TBL O OTT alg ilters TIO PI ILT. irst-rder lw-pass filter- -4. irst-rder high-pass filter- 4-6 3. ecd-rder lw-pass filter- 6-4. ecd-rder bad-pass

More information

Recovery of Third Order Tensors via Convex Optimization

Recovery of Third Order Tensors via Convex Optimization Recvery f Third Order Tesrs via Cvex Optimizati Hlger Rauhut RWTH Aache Uiversity Lehrstuhl C für Mathematik (Aalysis) Ptdriesch 10 5056 Aache Germay Email: rauhut@mathcrwth-aachede Željka Stjaac RWTH

More information

Design and Implementation of Cosine Transforms Employing a CORDIC Processor

Design and Implementation of Cosine Transforms Employing a CORDIC Processor C16 1 Desig ad Implemetati f Csie Trasfrms Emplyig a CORDIC Prcessr Sharaf El-Di El-Nahas, Ammar Mttie Al Hsaiy, Magdy M. Saeb Arab Academy fr Sciece ad Techlgy, Schl f Egieerig, Alexadria, EGYPT ABSTRACT

More information

An Electrostatic Catastrophe Machine as an Attosecond Pulse Generator

An Electrostatic Catastrophe Machine as an Attosecond Pulse Generator Optics ad Phtics Jural, 014, 4, 337-345 Published Olie December 014 i SciRes. http://www.scirp.rg/jural/pj http://dx.di.rg/10.436/pj.014.41034 A Electrstatic Catastrphe Machie as a Attsecd Pulse Geeratr

More information

Name Honors Chemistry / /

Name Honors Chemistry / / Name Hnrs Chemistry / / Beynd Lewis Structures Exceptins t the Octet Rule Mdel Hydrgen is an exceptin t the ctet rule because it fills its uter energy level with nly 2 electrns. The secnd rw elements B

More information

General Chemistry II, Unit I: Study Guide (part I)

General Chemistry II, Unit I: Study Guide (part I) 1 General Chemistry II, Unit I: Study Guide (part I) CDS Chapter 14: Physical Prperties f Gases Observatin 1: Pressure- Vlume Measurements n Gases The spring f air is measured as pressure, defined as the

More information

Claude Elysée Lobry Université de Nice, Faculté des Sciences, parc Valrose, NICE, France.

Claude Elysée Lobry Université de Nice, Faculté des Sciences, parc Valrose, NICE, France. CHAOS AND CELLULAR AUTOMATA Claude Elysée Lbry Uiversité de Nice, Faculté des Scieces, parc Valrse, 06000 NICE, Frace. Keywrds: Chas, bifurcati, cellularautmata, cmputersimulatis, dyamical system, ifectius

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

The Molecular Diffusion of Heat and Mass from Two Spheres

The Molecular Diffusion of Heat and Mass from Two Spheres Iteratial Jural f Mder Studies i Mechaical Egieerig (IJMSME) Vlume 4, Issue 1, 018, PP 4-8 ISSN 454-9711 (Olie) DOI: http://dx.di.rg/10.0431/454-9711.0401004 www.arcjurals.rg The Mlecular Diffusi f Heat

More information

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece,, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet as

More information

6.003 Homework #3 Solutions

6.003 Homework #3 Solutions 6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the

More information

Practice Test-3 Solution Physics

Practice Test-3 Solution Physics NEET (ractice aper- ) Sluti. (a) has diesi T, hast ad diesi less.. (d) s a t a t t a t a t t----- () a t a t ractice Test- Sluti hysics t Subtractig = t a t t eliiatig t a a t. d. (b) a d. a () d p x y

More information

If the escalator stayed stationary, Billy would be able to ascend or descend in = 30 seconds. Thus, Billy can climb = 8 steps in one second.

If the escalator stayed stationary, Billy would be able to ascend or descend in = 30 seconds. Thus, Billy can climb = 8 steps in one second. BMT 01 INDIVIDUAL SOLUTIONS March 01 1. Billy the kid likes to play o escalators! Movig at a costat speed, he maages to climb up oe escalator i 4 secods ad climb back dow the same escalator i 40 secods.

More information

g p! where ω is a p-form. The operator acts on forms, not on components. Example: Consider R 3 with metric +++, i.e. g µν =

g p! where ω is a p-form. The operator acts on forms, not on components. Example: Consider R 3 with metric +++, i.e. g µν = Chapter 17 Hodge duality We will ext defie the Hodge star operator. We will defieit i a chart rather tha abstractly. The Hodge star operator, deoted i a -dimesioal maifold is a map from p-forms to ( p)-forms

More information

PROPERTIES OF AN EULER SQUARE

PROPERTIES OF AN EULER SQUARE PROPERTIES OF N EULER SQURE bout 0 the mathematicia Leoard Euler discussed the properties a x array of letters or itegers ow kow as a Euler or Graeco-Lati Square Such squares have the property that every

More information

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence

Sequences A sequence of numbers is a function whose domain is the positive integers. We can see that the sequence Sequeces A sequece of umbers is a fuctio whose domai is the positive itegers. We ca see that the sequece 1, 1, 2, 2, 3, 3,... is a fuctio from the positive itegers whe we write the first sequece elemet

More information

Review of Important Concepts

Review of Important Concepts Appedix 1 Review f Imprtat Ccepts I 1 AI.I Liear ad Matrix Algebra Imprtat results frm liear ad matrix algebra thery are reviewed i this secti. I the discussis t fllw it is assumed that the reader already

More information

Lecture #18

Lecture #18 18-1 Variatioal Method (See CTDL 1148-1155, [Variatioal Method] 252-263, 295-307[Desity Matrices]) Last time: Quasi-Degeeracy Diagoalize a part of ifiite H * sub-matrix : H (0) + H (1) * correctios for

More information

2. Before we answer the question, here are four important terms relating to redox reactions and galvanic cells.

2. Before we answer the question, here are four important terms relating to redox reactions and galvanic cells. CHAPTER SEVENTEEN ELECTROCHEMISTRY Fr Review 1. Electrchemistry is the study f the iterchage f chemical ad electrical eergy. A redx (xidati-reducti) reacti is a reacti i which e r mre electrs are trasferred.

More information

Chapter 1: Fundamentals

Chapter 1: Fundamentals Chapter 1: Fudametals 1.1 Real Numbers Irratial umbers are real umbers that cat be expressed as ratis f itegers. That such umbers exist was a prfud embarrassmet t the Pythagrea brtherhd, ad they are said

More information

ACTIVE FILTERS EXPERIMENT 2 (EXPERIMENTAL)

ACTIVE FILTERS EXPERIMENT 2 (EXPERIMENTAL) EXPERIMENT ATIVE FILTERS (EXPERIMENTAL) OBJETIVE T desig secd-rder lw pass ilters usig the Salle & Key (iite psitive- gai) ad iiite-gai apliier dels. Oe circuit will exhibit a Butterwrth respse ad the

More information

Axioms of Measure Theory

Axioms of Measure Theory MATH 532 Axioms of Measure Theory Dr. Neal, WKU I. The Space Throughout the course, we shall let X deote a geeric o-empty set. I geeral, we shall ot assume that ay algebraic structure exists o X so that

More information

Function representation of a noncommutative uniform algebra

Function representation of a noncommutative uniform algebra Fucti represetati f a cmmutative uifrm algebra Krzysztf Jarsz Abstract. We cstruct a Gelfad type represetati f a real cmmutative Baach algebra A satisfyig f 2 = kfk 2, fr all f 2 A:. Itrducti A uifrm algebra

More information

Homework 7 Due 5 December 2017 The numbers following each question give the approximate percentage of marks allocated to that question.

Homework 7 Due 5 December 2017 The numbers following each question give the approximate percentage of marks allocated to that question. Name: Homework 7 Due 5 December 2017 The umbers followig each questio give the approximate percetage of marks allocated to that questio. 1. Use the reciprocal metric tesor agai to calculate the agle betwee

More information

Final Review for MATH 3510

Final Review for MATH 3510 Fial Review for MATH 50 Calculatio 5 Give a fairly simple probability mass fuctio or probability desity fuctio of a radom variable, you should be able to compute the expected value ad variace of the variable

More information

Electrochemistry Redox Half-Reactions

Electrochemistry Redox Half-Reactions Electrchemistry Electrchemistry deals with the relatiship betwee chemical chage ad electricity Electrchemical s (tw types) Galvaic s use a sptaeus ( G < 0) reacti t prduce electricity (batteries) Electrlytic

More information

Spontaneous and stimulated emission tuning characteristics. of a Josephson junction in a microcavity

Spontaneous and stimulated emission tuning characteristics. of a Josephson junction in a microcavity Sptaeus ad stimulated emissi tuig characteristics f a sephs jucti i a micrcavity Adrea T. seph, Rbi Whitig ad Rger Adrews Departmet f Physics, Uiversity f the West dies, St. Augustie, Triidad ad Tbag radrews@fas.uwi.tt

More information

Thermodynamic perturbation theory for self assembling mixtures of multi - patch colloids and colloids with spherically symmetric attractions

Thermodynamic perturbation theory for self assembling mixtures of multi - patch colloids and colloids with spherically symmetric attractions Thermdyamic erturbati thery fr self assemblig mixtures f multi - atch cllids ad cllids with sherically symmetric attractis eett D. Marshall ad Walter G. Chama Deartmet f Chemical ad imlecular Egieerig

More information

The Method of Least Squares. To understand least squares fitting of data.

The Method of Least Squares. To understand least squares fitting of data. The Method of Least Squares KEY WORDS Curve fittig, least square GOAL To uderstad least squares fittig of data To uderstad the least squares solutio of icosistet systems of liear equatios 1 Motivatio Curve

More information