Collision Probability Method
|
|
- reek Λύκος
- 6 χρόνια πριν
- Προβολές:
Transcript
1 Analy of Stattc Reactor Charactertc nd Semeter of 8 Lecture Note Collon Probablty Method Sept. 8 Prof. Joo Han-gyu Department of Nuclear Engneerng
2 Neutron Tranport Equaton and Soluton Dffculte Boltzmann Neutron Tranport Equaton ˆ v ˆ v v ˆ ˆ ˆ v ˆ ˆ v Ω ϕ ( r, E, Ω + = t ( r, E ϕ( r, E, Ω ( Ω Ω, E E ϕ( r, E, Ω dedω+ χ ( E ψ ( r 4π Ω' E ' Streamng = Net outflow through urface = Ω ( ˆ ˆ x ϕ( x+δx, L, Ω ϕ( x, L, Ω ΔyΔz Term ϕ( x+ Δx, L, Ωˆ ϕ( x, L, Ωˆ ϕ per unt volume lm =Ωx Ω ϕ ˆ n general Δ x Δx x Soluton Dffculte ( re r, N( rtr r, ( r σ ( Tr ( r, E = Strong energy dependence of Xec Angular dependence evere locally Temperature dependence of Xec whch depend on flux through power Practcal Soluton Approache Multgroup Angle dcretzaton(s n or orthogonal expanon (P L Iteraton between flux and T/H feld oluton ϕ( x, L, Ωˆ Ω x x x+ Δx ϕ ( x+ Δx, L, Ωˆ ( x+ Δ x, y+δy, z
3 Three-Step Core Neutronc Calculaton Procedure 3
4 Two Form of Multgroup Tranport Equaton Dfferental (Boltzmann Tranport Equaton Ω ˆ ϕ ( r, Ω ˆ + ( r ϕ ( r, Ω ˆ = Q g tg g g G r ˆ r ˆ ˆ r Q ˆ ˆ g(, Ω = λχψ g + gg (, Ω Ω ϕ g (, Ω dω 4 π g = Integral Tranport Equaton ( otropc ource Q r r R r r ˆΩ R= r [cm] r r ˆ Qg ( r tr r ϕg (, Ω = e dr 4π R R λ t ρ( R dtance n mfp or optcal length φ g ( ρ ( R r e r = Q ( : Scalar Flux g d 4π R f ( φ Integral Equaton 4
5 Scatterng Source n Multgroup Tranport Equaton G r g ˆ gg ϕg Ω g = ˆ ˆ r Q = ( r, Ω Ω (, Ωˆ dωˆ Unnown r ˆ ˆ r = (, (, ˆ ˆ ˆ gg Ω Ω ϕg Ω dω Ω ˆ ˆ ˆ ˆ + (, (, ˆ g g r Ω Ω ϕg r Ω dω Ω Dfferental Scatterng Cro Secton g g :Self catterng, change only drecton Scatterng from other group, condered nown under ource teraton t cheme to multgroup problem ( Ωˆ Ω ˆ = f ( μ g g gg gg where μ =co( θ of the angle θ between Ωˆ and Ωˆ Scatterng ernel 5
6 Dfferental Scatterng Cro Secton n CMS wave catterng otropc n CMS ( Ql = τ = low energy, lght nucleu C U38 At hgher h energy or for heaver nucle, forward peaed 6
7 Repreentaton of Scatterng Anotropy ˆ dω Dfferental Scatterng Xec Ωˆ ( θ, α ˆ /cm-teradan,e ( θ, E Ed Ω de θ ˆ ˆ : Probablty per unt dtance of travel to =Ω Ω catter nto angle dωˆ around Ωˆ and to de from E Ω ˆ ( θ, α Conderaton of Azmuthal Symmetry ˆΩ n trp ( θ, E Ed Ω= ˆ ( θ, E Ed θ nθ dα π = π θ, E E n θ dθ de θ ( Ωˆ θ 7
8 Legendre Polynomal for Scatterng Antropy Integrate over θ π π ( θ, E E n θ d θ μ = coθ dμ =nθ dθ θ : π θ μ : μ = π ( μ, E Ed μ = ( E E Legendre Expanon of Angular Dependence f ( x = a P( x f ( xp ( xdx = a< PP, > a = < P P > l l l l l l l l= = l, Let f ( μ = π ( μ, E E Momont: π ( μ, ( μ % ( moment ( l al = % ( E E < P, P > l l ( l E EPxd l E E Pl l l-th Legendre moment of f ( x l, l l( l( l < P P >= P x P x dx= P f ( xp ( xdx ( l E E % E E Pl < l= Pl, Pl > π ( μ, = ( ( μ l 8
9 Legendre Functon P l ( x dx = x dx = P ( x = 3 P ( x = x P ( x = (3x P =, P =, P = 3 5 P l = l + Fnal form of Legendre angular expanon l + ( l E E % E E Pl l= % ( π μ μ ( % ( E E = π ( μ, E E μ d μ π ( μ, = ( ( μ n 4π pace ( E E = (, E E d = ( E E l + ( l E E % E μ E P l l= 4π (, = ( ( μ 9
10 Lnear Scatterng Anotropy Neglect econd and hgher order term n Legendre expanon 3 ( 5 ( π ( μ % %, E E = ( E E + ( E E μ + ( E E μ + L Average Cone μ ( E π (, μ E μ = E dμ de ( E E = p( μ, E E μdμ ( E ( ( % ( E ( μ, E E % ( E E μ = dμ % ( ( E = μ( E ( E ( ( ( E E E E E = = In Multgroup Approach g g S = M O O gg ( = μ L G ( ( % % 3 ( ( μ g g Gg ( % 3 3 gg g g G = g g = gg = + % % G + L ( % % = g g μg = = G g g = ( gg gg defned for out-catterng
11 How to Contruct Scatterng Source wth Lnear Scatterng Anotropy 3 ( gg ( μ, α = gg + gg π 3 4π 4π % = ( g g + μ % gg Scatterng Source Q ( Ω ˆ = ( μ ϕ ( Ωˆ dωˆ Ωˆ Ωˆ gg ˆ gg g Ω 3 ( = % ˆ ˆ g g + gg μ ϕg ( Ω dω' 4π 4π 4π ( gg 3% gg ϕg d ϕg 4π 4π = ( Ωˆ Ω ˆ ' + Ωˆ Ωˆ ( Ωˆ dωˆ 4π 4π 3 r ( = ˆ gg φg + gg J g Ω 4π 4π % g ( ϕ ˆ ˆ d ˆ ˆ Ω Ω Ω Ω π r = J Ωˆ 4 need the current nfo to contruct catterng ource under P repreentaton of catterng J g
12 Suppoe frt aborpon free medum Tranport Cro Secton x = λμ x = λμ x n λ λ = λ + μ + μ + L = = μ μ n = λμ ( ( = reduced catterng cro ecton to conder anotropc catterng otroc catterng treatment,tranport corrected catterng Xec Wth now aborpton tr ( μ tr tr = a + tranport cro ecton, later to be ued to defne dffuon coeffcent Proecton by fracton μ to the ncomng drecton n Proecton to the ntal drecton after n collon= μ
13 Tranport Correcton Tranport Correcton λ tr λ = = μ ( μ = tr tr =( μ : tranport corrected catterng xec = λ tr t = a + = a +( μ =tr G ( % g gj Anotropc Scatterng g = μ g = G Forward pea μ > J Tranport Correcton n Multgroup Approach for Iotropc Scatterng Treatment g = g g S ( ( ( tr 3 % % % 3 3 tr 3 gg =gg μg ( ( ( tr = = 3 + μ % % % 3 3 gg correcton only dagonal ( ( ( % 3 % 3 % tr G ( ( μ g = % g = % gg : Column um(out-cat n prncple!, but uually replaced by row um g = wth ncatterng current weghtng for hgh energy group (content P for g<g 3 epthermal
14 G Integral Tranport Equaton wth Tranport Correcton R = R =, ρ g ( R g tr, g ρ e tr φg( r = ( ggφ( r + Qg ( r λ d 4 π R tr gg gg μ gg = tr, g : for elf catterng ource = μ tr g tg g Iotropc Source After Tranport Correcton r r r Q ( = λχ ψ + ( φ ( : Fon + Scatterng from other group g g gg g g g G where ψ( r = ν ( r φ ( r g = fg g Kernel of Integral Tranport Equaton For pont ource ρ ( R r r e nr ( = 4π R : flux due to unt ource 4
15 Kernel of Integral Tranport Equaton n D Problem Flux at pont away R from a unt lne ource lne ource ρ ( R e φ( t = dz z 4π R t z R, ρ R= f( tz, =, = tan θ, dz= ttan θdθ coθ t τ ρ = θ coθ π π t, τ τ coθ e φ( t = t dθ t co θ 4π co θ z : π π θ : = τ π co e θ π 4π t dθ = π t π τ e co θ dθ π τ coθ Kn e d Bcely Functon of order n: ( τ co n θ θ ( τ = π t t = dθ co θ 5
16 Probablty of Horzontal Uncollded Movement Probablty of a ource neutron to move t horzontally uncollded Emtted n dωˆ,then travel R z θ R, ρ π π d Ω π ρ ( R ρ ( R p( τ = e = e nθdθ 4π τ π n n e θ = θ d θ t, τ dω= ˆ nθdθdα τ dθ π θ = θ dθ =dθ θ : π π π θ : π τ co e co θ = e d π θ θ = π e τ coθ coθdθ nθ = n( π θ = coθ = K ( τ π ( R n d d π ρ θ θ α ρ( R or p( τ = e e nθdθ dα = 4π dα π fracton to reach τ out of the neutron emtted to dα 6
17 Optmum Polar Angle Set n D Tranport Calculaton If we want to decrbe the neutron moton wth dcrete angle n D tranport calculaton, what would be the the approprate polar angle? Convere the uncollded movement probablty a cloely a poble dθ π τ co θ p ( τ = K ( τ = e co θd θ M = we m m= Quadrature repreentaton of ntegral τ co θ m co θ m τ τ π τ dα nθ μ Or p( = K( = e n d = e d τ τ θ θ μ M = we m m= τ μm Contraned mnmzaton problem to fnd w and μ? m m τ M μm max = ( τ m << τ τmax m= can be olved by IMSL routne NCNLS E Max K w e Mnmze Emax ubect to wm = and < μm < M m= 7
18 Dervatve and Integral of Bcley Functon Defnton of Bcley Functon π Properte of Bcley Functon x n coθ Kn ( x = co θe dθ Dervatve of Bcley Functon π dkn ( x n = co θ ( e dx coθ π x co con = θe θ dθ x coθ dθ = K n ( x Integral of Bcley Functon Integral from to x x K ( x K ( = K ( y dy n n n x K ( y dy = K ( K ( x n n+ n+ Integral from x to Kn( Kn( x = Kn ( y dy x K ( y dy = K ( x n n+ x 8
19 Tranport Kernel,,, φ r, R ( φ φ ρ( R φ r r r r φ ( d Flat Flux Approxmaton o What would be the flux( φ n nduced by φ and Q n? Source n ( per unt volume φ + Q r r Flux at due to ource n d at ρ ( R r r e φ( d = ( φ + Q d 4π R ( Q Q from now on for mplcty 9
20 Tranport Kernel 3 r Total flux at due to whole ource n r r r φ ( = φ( d d ρ ( R e = ( φ + Q d 4 π R 4 Total flux n R ρ ( r e φ ( d φ = ( φ + Q dd 4π R ( R e ρ ( Q d d φ 4 π R φ = + ρ ( R e = d ( d Q φ + = T( φ + Q 4π R Source to flux converon factor T = Tranport Kernel
21 Recprocty n Tranport Kernel r r T = n( d d r r T = n( d d n( r r d d = n( r r d d T= T : Recprocty t Relaton Total flux due to all φ = φ = T ( φ + Q
22 Frt Collon Probablty r r What would be the collon rate of caued by the unt ource at? r r v v nr ( r = Pr ( r R =reacton rate at r per unt ource at r r = Probablty that a neutron born otropcally at ha the frt collon at r Total collon rate n due to ource n ( r r r φ = φ( d = ( T φ + Q T = n( d d ρ ( R e = ( φ + Q dd 4π R r r = nr ( d d ( φ + Q r r = P d d + P = % ( ( + φ Q ( φ Q = P % Total ource n
23 Frt Collon Probablty P% r r = Pr ( dd ouce denty f there one ource n Probablty that a neutron born otropcally n uffer the frt collon n Collon probablty for volume, φ = P % ( φ + Q Q = P% ( φ + P = P % = c P ( + Q Q q cφ : ource drven flux ( φ = q φ = = + For the advantage n calculaton collon rate=flux-to-collon factor flux 3 : rato of elf-catterng to total collon Q φ= P( cφ+
24 φ S da Cone Current θ dα For nfnte unform compoton Unform and otropc angular flux ϕ( μ = cont θ ˆ φ coθ = μ ϕ( Ω = ϕ ( μ = φ 4π Neutron pang through unt urface area at the boundary wall Jout = ϕ( μ μ dμ = φμ dμ φ = 4 ϕ ( μ = ϕ ( μ = φμ cone current 4
25 Ecape Probablty For unform ource Q n, what would be φ? tgφg = ggφ g + Qg rgφ g = Qg rg =tg gg (Removal Xec Q g φg = rg For ource (excludng elf catterng ource n Q = φ = P : Probablty that a neutron born n ecape throught S, ecape probablty r φ S Γ : Aborpton Blacne - Probablty blt that ta neutron enterng unformly through hurface S wth cone current dtrbuton aborbed n Suppoe ource neutron n, what the number of neutron ecapng from through S? P It hould be balanced by the neutron to be aborbed n after enterng through S ( = n current urface area Γ 4 φsγ= P 4 Γ= P φs 4 = rp r S = l P 4 l = : mean chord length S 5
26 Frt Collon Ecape Probablty p : Frt collon ecape probablty - ecape wthout havng any collon n γ : Frt collon probablty n for neutron comng through S wth cone current ( Collon Rate: tgφ = rg + gg φ g = ggφg + Qg φ For ource neutron n, Q g =, φ = r How many collon n? S No collon on the path! Collon rate per unt volume: φ = Total collon n = φ = Balance between frt collon for ncomng and extng neutron r r 4 φsγ = p 4 r or φsγ =φp 4 4 γ = p = l p S S B HW3: Prove the followng rgorouly: 4 γ = S B p ( Eq.4 d 6
27 Pn-cell Problem Wgner-Setz Approxmaton Perfect reflecton P π R = P P R = π R Whte Boundary Condton Cone current: ncomng current wth cone dt. collect all outgong neutron then hoot bac wth cone current! Newmarch effect: ome neutron born at an outer rng can't reach the nnermot rng (fuel reultng abnormal hgh flux n coolant 7
28 Albedo Partal Reflecton wth Albedo α = J α = J J net φ n out J =α J n out α = :Blac α :Gray α= :Reflectve Boundary Multplcaton for ngle ncomng neutron ( Γ α Γ Γ ( α + ( Γ α + ( Γ + L = ( Γ α Γ n α Boundary multplcaton factor Equvalent to n α Γ ncomng neutron 8
29 Crcular Pn-cell Problem Problem Statement + ext Fnd φ, and for gven α, and Q α S B ext Total Aborpton Blancne for Multple Interor Regon n Γ= Γ = X Y Q ( α : Flux at due to unt ource denty at ( α : Flux at due to unt ncomng neutron current through urface S B n = ext + = φ Y ( α X ( α Q Y ( α = f ( Y, Y Y ( X ( α = f( X, X X ( 9
30 Crcular Pn-cell Problem Relaton between patal flux due to ncomng neutron ( Y and aborpton blacne Total removal rate n per unt ncomng neutron ( Y r =Aborpton per unt ncomng neutron ( Flux due to ncomng current n cae of multple reflecton Γ Γ =ry Y( α = Yn α Γ Y = ( Γ α Flux due to nternal ource n cae of multple reflecton x : # of neutron reachng the urface at frt ecape for unt ource denty n n x = r X = x = P SB = Γ 4 r X ( α = X + α x Y( α S = B Y ( Γ = r Y 4 what the flux due to the returnng neutron per unt ource denty n? = X + α x Y ( Γ αα α x Y ( α 3
31 Crcular Pn-cell Problem Coupled equaton for α = Q φ = P ( c φ + Scatterng@ Flux due to unt ource denty at Q = δ δ X ι = P ( c X + P = PcX + nduced flux from P Coupled Lnear Sytem for X Pc Pc L Pn cn X P Pc Pc L Pc n n X = M M O M M M Pc n Pc n n L nn Pc nn n X n Pn 3
32 Crcular Pn-cell Problem Flux due to ncomng neutron γ :Collon rate due to the frt collon of the neutron comng from the urface Y n = PcY + γ = frt collon from ncomng neutron uncollded elewhere Pc Pc L Pn cn Y γ Pc Pc Pc n n Y γ L = M M O M M M Pc n Pc n n L nn Pc nn n Yn γ n Relaton btwn collon prob. and frt collon ecape A probablty p γ = = ( = ( n n n = P % p P % P = SB SB = SB = Lnear Sytem Ax= b n P 4 b = for X and b = ( P for Y S S B = 3
33 Crcular Pn-cell Problem Total number of Neutron reachng boundary frt tme n x= Qx = Total number of neutron ecapng x ( J J + ( α = + Γ α( Γ Total number of neutron ncomng J ext α x J ( α = α( Γ + ext 33
34 Calculaton of Collon Probablty y τ τ = t : Optcal length α τ t τ t A B y ( max α y ( α mn -Probablty to move from pont t to the left de of wthout collon P ( t = K ( τ + ( t t A -Probablty to move from pont t to the rght de of wthout collon P ( t = K ( τ + τ + ( t t B -Probablty for collon between A and B K ( τ P% ( ;, ( ( tyα = PA t PB t = K( τ +( t t K( τ +( t t + τ τ A + τ τ τ τ τ τ + + B 34
35 Tranport Kernel - for unt ource denty n t t neutron n t τ = τ( y, τ = τ( y t % = % t P ( y, α P ( ;, = t y dt t α ( K ( ( t K t dt t τ + τ τ + τ + τ τ + τ = ( K( τ K( τ + τ dτ τ + τ t = τ, dτ = dt, dt = dτ τ t t = t b τ = τ + τ τ K ( xdx = K ( a K ( b a + + = ( K3( τ K3( τ + τ ( K3( τ + τ K3( τ + τ + τ t = ( K3( τ + K3( τ + τ + τ ( K3( τ + τ + ( K3( τ + τ t A B C D - for unform otropc ource n volume element tdyn P % ymax ( α tdy = P% (, y α lad + lbc lac lbd ymax ( α = ( K3( τ 3( ( 3( ( 3( + K τ + τ + τ K τ + τ + K τ + τ dy % y ( max α P = P = ( K3( τ 3( ( 3( ( 3( K τ τ τ K τ τ K τ τ dy = P 35
36 Tranport Kernel What f =? Gven K( τ, what the probablty to have collon wthn τ = K( τ P% (; t y, α = K ( ( t t t t t t P% ( y, α = P% ( t ; y, α dt = K ( ( t t dt P [ ] t t = 3( 3( t ymax % % P [ K K t ] tdy = P (, y α ymax = [ K3( K3( τ ] dy = P % y [ ( ( τ ] = max K K dy
37 Annular Geometry Collon Probablty n Annular Geometry Azmuthal ymmetry no need for conderaton of α x = ( R y mfp P = P x ( y x ( y τ τ + + ( τ = x x τ = x + x for a lne ource located dleft n left movng ( P ( y = K3 ( τ + K3 ( τ K3 ( τ + K3 ( τ rght movng ( P ( y = K ( τ + K ( τ K ( τ + K ( τ P ( y = P ( y + P ( y :for two ource (t and nd Quadrant = [ K ( τ K ( τ + K ( τ K ( τ + + ( K3( τ K3( τ + K3( τ K3( τ ] R R = P y dy S = K ( τ + K ( τ dy P = ( S + S ( S + S ( 3 3 Let P ( 37
38 Self Collon Probablty for unform ource denty total ource neutron Source movng to both drecton What f =? K( x : Prob. to have collon n x rght htmovng rght htmovng Source n dtdy : dtdy t ( K( τ t + ( K( t C ( K ( τ ( t + τ K τ t + τ τ 4 τ + # of neutron to have collon n upper half of for unt ource neutron n quadrant ( K3( τ K3( + ( K3( τ K3( K3( τ K3( τ ( K3( τ K3( τ R t R Q n = Cdtdy dy = + 4 ( from two ' above + + R ( 3( 3( ( 3( 3( K τ K τ + K τ K τ = + dy + + K3( τ K3( τ K3( τ K3( τ ( ( Q n P% = + ( S + S ( S + S = τ = τ τ = 4 P = + S + S ( S + S 4 ( 38
39 Generalzed Collon Probablty Kernel R + For the nnermot regon (= S = ( K3( τ K3( τ dy f = τ = R, τ = R. S =? + o ( P = K ( τ + K ( τ K ( τ + K ( τ = S τ + Set S ( = S + S S + S S =, then apply the general formula! Generalzed Collon Probablty Kernel ( P = + S + S ( S + S δ 39
40 R ( ( + ( ( ( 3 τ 3 τ S = K R y K y dy y R p = R R 443 Δ Calculaton of S S = = Δ dp = dy S = Δ f ( x dx=ω f : Gau Quadrature S f% Δ ( p dp = ωf ( x τ ( y x τ = R y = R ( R x = Rxx R x y x = p% p% = x R to normalze x R y = = p = p R R ΔR ΔR dy = pdp + S = K ( τ ( ( ( p K τ p pdp Δ R ( 3 3 ΔRR p % = Rp % = R ΔR p 4
41 Gau-Jacob Quadrature xf ( x dx =ω f : Gau-Jacob Quadrature S = K p K p pdp + ( 3( τ ( 3( τ ( ΔR + w( K3( τ( p K3( τ( p = ΔR Intead e dof calculatng cu S for whole oeannular regon, accummulate contrbuton from each ector Neted loop requred: Loop over R ( y drecton Loop over ( ource Loop over ( 4
42 Actual Implementaton Actual mplementaton Gau-Jacob pont Calculate S Calculate P ( P = δ + S + S ( S + S δ 3 Contruct the lnear ytem R R τ τ Q φ = p( cφ + Q P X ι = P ( c X + = Pc X + 4 Solve the lnear ytem and fnd flux and current 4
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων.
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 2015 ιδάσκων : Α. Μουχτάρης εύτερη Σειρά Ασκήσεων Λύσεις Ασκηση 1. 1. Consder the gven expresson for R 1/2 : R 1/2
Phasor Diagram of an RC Circuit V R
ESE Lecture 3 Phasor Dagram of an rcut VtV m snt V t V o t urrent s a reference n seres crcut KVL: V m V + V V ϕ I m V V m ESE Lecture 3 Phasor Dagram of an L rcut VtV m snt V t V t L V o t KVL: V m V
One and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF
One and two partcle densty matrces for sngle determnant HF wavefunctons One partcle densty matrx Gven the Hartree-Fock wavefuncton ψ (,,3,!, = Âϕ (ϕ (ϕ (3!ϕ ( 3 The electronc energy s ψ H ψ = ϕ ( f ( ϕ
α & β spatial orbitals in
The atrx Hartree-Fock equatons The most common method of solvng the Hartree-Fock equatons f the spatal btals s to expand them n terms of known functons, { χ µ } µ= consder the spn-unrestrcted case. We
Multi-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme
b. Use the parametrization from (a) to compute the area of S a as S a ds. Be sure to substitute for ds!
MTH U341 urface Integrals, tokes theorem, the divergence theorem To be turned in Wed., Dec. 1. 1. Let be the sphere of radius a, x 2 + y 2 + z 2 a 2. a. Use spherical coordinates (with ρ a) to parametrize.
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
1 Complete Set of Grassmann States
Physcs 610 Homework 8 Solutons 1 Complete Set of Grassmann States For Θ, Θ, Θ, Θ each ndependent n-member sets of Grassmann varables, and usng the summaton conventon ΘΘ Θ Θ Θ Θ, prove the dentty e ΘΘ dθ
Areas and Lengths in Polar Coordinates
Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the
Multi-dimensional Central Limit Theorem
Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t ();
Solutions for Mathematical Physics 1 (Dated: April 19, 2015)
Solutons for Mathematcal Physcs 1 Dated: Aprl 19, 215 3.2.3 Usng the vectors P ê x cos θ + ê y sn θ, Q ê x cos ϕ ê y sn ϕ, R ê x cos ϕ ê y sn ϕ, 1 prove the famlar trgonometrc denttes snθ + ϕ sn θ cos
Parametrized Surfaces
Parametrized Surfaces Recall from our unit on vector-valued functions at the beginning of the semester that an R 3 -valued function c(t) in one parameter is a mapping of the form c : I R 3 where I is some
Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013
Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering
Section 8.3 Trigonometric Equations
99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.
9.09. # 1. Area inside the oval limaçon r = cos θ. To graph, start with θ = 0 so r = 6. Compute dr
9.9 #. Area inside the oval limaçon r = + cos. To graph, start with = so r =. Compute d = sin. Interesting points are where d vanishes, or at =,,, etc. For these values of we compute r:,,, and the values
Homework 8 Model Solution Section
MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx
6.4 Superposition of Linear Plane Progressive Waves
.0 - Marine Hydrodynamics, Spring 005 Lecture.0 - Marine Hydrodynamics Lecture 6.4 Superposition of Linear Plane Progressive Waves. Oblique Plane Waves z v k k k z v k = ( k, k z ) θ (Looking up the y-ais
Math221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
Matrices and Determinants
Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z
8.323 Relativistic Quantum Field Theory I
MIT OpenCourseWare http://ocwmtedu 8323 Relatvstc Quantum Feld Theory I Sprng 2008 For nformaton about ctng these materals or our Terms of Use, vst: http://ocwmtedu/terms 1 The Lagrangan: 8323 Lecture
Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.
Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action
Answer sheet: Third Midterm for Math 2339
Answer sheet: Third Midterm for Math 339 November 3, Problem. Calculate the iterated integrals (Simplify as much as possible) (a) e sin(x) dydx y e sin(x) dydx y sin(x) ln y ( cos(x)) ye y dx sin(x)(lne
Section 7.6 Double and Half Angle Formulas
09 Section 7. Double and Half Angle Fmulas To derive the double-angles fmulas, we will use the sum of two angles fmulas that we developed in the last section. We will let α θ and β θ: cos(θ) cos(θ + θ)
Symplecticity of the Störmer-Verlet algorithm for coupling between the shallow water equations and horizontal vehicle motion
Symplectcty of the Störmer-Verlet algorthm for couplng between the shallow water equatons and horzontal vehcle moton by H. Alem Ardakan & T. J. Brdges Department of Mathematcs, Unversty of Surrey, Guldford
ECE Spring Prof. David R. Jackson ECE Dept. Notes 2
ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =
EE512: Error Control Coding
EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3
Vidyamandir Classes. Solutions to Revision Test Series - 2/ ACEG / IITJEE (Mathematics) = 2 centre = r. a
Per -.(D).() Vdymndr lsses Solutons to evson est Seres - / EG / JEE - (Mthemtcs) Let nd re dmetrcl ends of crcle Let nd D re dmetrcl ends of crcle Hence mnmum dstnce s. y + 4 + 4 6 Let verte (h, k) then
Self and Mutual Inductances for Fundamental Harmonic in Synchronous Machine with Round Rotor (Cont.) Double Layer Lap Winding on Stator
Sel nd Mutul Inductnces or Fundmentl Hrmonc n Synchronous Mchne wth Round Rotor (Cont.) Double yer p Wndng on Sttor Round Rotor Feld Wndng (1) d xs s r n even r Dene S r s the number o rotor slots. Dene
ES440/ES911: CFD. Chapter 5. Solution of Linear Equation Systems
ES440/ES911: CFD Chapter 5. Solution of Linear Equation Systems Dr Yongmann M. Chung http://www.eng.warwick.ac.uk/staff/ymc/es440.html Y.M.Chung@warwick.ac.uk School of Engineering & Centre for Scientific
wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves:
3.0 Marine Hydrodynamics, Fall 004 Lecture 0 Copyriht c 004 MIT - Department of Ocean Enineerin, All rihts reserved. 3.0 - Marine Hydrodynamics Lecture 0 Free-surface waves: wave enery linear superposition,
Example Sheet 3 Solutions
Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note
Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics
Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)
forms This gives Remark 1. How to remember the above formulas: Substituting these into the equation we obtain with
Week 03: C lassification of S econd- Order L inear Equations In last week s lectures we have illustrated how to obtain the general solutions of first order PDEs using the method of characteristics. We
Finite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
Solutions to Exercise Sheet 5
Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X
the total number of electrons passing through the lamp.
1. A 12 V 36 W lamp is lit to normal brightness using a 12 V car battery of negligible internal resistance. The lamp is switched on for one hour (3600 s). For the time of 1 hour, calculate (i) the energy
LECTURE 4 : ARMA PROCESSES
LECTURE 4 : ARMA PROCESSES Movng-Average Processes The MA(q) process, s defned by (53) y(t) =µ ε(t)+µ 1 ε(t 1) + +µ q ε(t q) =µ(l)ε(t), where µ(l) =µ +µ 1 L+ +µ q L q and where ε(t) s whte nose An MA model
8.324 Relativistic Quantum Field Theory II
Lecture 8.3 Relatvstc Quantum Feld Theory II Fall 00 8.3 Relatvstc Quantum Feld Theory II MIT OpenCourseWare Lecture Notes Hon Lu, Fall 00 Lecture 5.: RENORMALIZATION GROUP FLOW Consder the bare acton
Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)
Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that
V. Finite Element Method. 5.1 Introduction to Finite Element Method
V. Fnte Element Method 5. Introducton to Fnte Element Method 5. Introducton to FEM Rtz method to dfferental equaton Problem defnton k Boundary value problem Prob. Eact : d d, 0 0 0, 0 ( ) ( ) 4 C C * 4
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3
Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all
Mellin transforms and asymptotics: Harmonic sums
Mellin tranform and aymptotic: Harmonic um Phillipe Flajolet, Xavier Gourdon, Philippe Duma Die Theorie der reziproen Funtionen und Integrale it ein centrale Gebiet, welche manche anderen Gebiete der Analyi
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM
SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM Solutions to Question 1 a) The cumulative distribution function of T conditional on N n is Pr T t N n) Pr max X 1,..., X N ) t N n) Pr max
ΜΕΡΟΣ ΙΙΙ ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ
ΜΕΡΟΣ ΙΙΙ ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ ΓΕΝΙΚΕΣ ΠΑΡΑΤΗΡΗΣΕΙΣ ΕΠΙΔΡΑΣΗ Μ.Β ΣΤΙΣ ΙΔΙΟΤΗΤΕΣ ΠΟΛΥΜΕΡΩΝ ΜΑΘΗΜΑΤΙΚΗ ΠΕΡΙΓΡΑΦΗ ΤΗΣ ΚΑΤΑΝΟΜΗΣ ΜΟΡΙΑΚΟΥ ΒΑΡΟΥΣ ΣΥΝΑΡΤΗΣΗ ΠΙΘΑΝΟΤΗΤΟΣ (ΔΙΑΦΟΡΙΚΗ) Probablty Densty Functon
2 Composition. Invertible Mappings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,
HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
Constant Elasticity of Substitution in Applied General Equilibrium
Constant Elastct of Substtuton n Appled General Equlbru The choce of nput levels that nze the cost of producton for an set of nput prces and a fed level of producton can be epressed as n sty.. f Ltng for
( ) Sine wave travelling to the right side
SOUND WAVES (1) Sound wave: Varia2on of density of air Change in density at posi2on x and 2me t: Δρ(x,t) = Δρ m sin kx ωt (2) Sound wave: Varia2on of pressure Bulk modulus B is defined as: B = V dp dv
ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?
Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least
Potential Dividers. 46 minutes. 46 marks. Page 1 of 11
Potential Dividers 46 minutes 46 marks Page 1 of 11 Q1. In the circuit shown in the figure below, the battery, of negligible internal resistance, has an emf of 30 V. The pd across the lamp is 6.0 V and
Higher Derivative Gravity Theories
Higher Derivative Gravity Theories Black Holes in AdS space-times James Mashiyane Supervisor: Prof Kevin Goldstein University of the Witwatersrand Second Mandelstam, 20 January 2018 James Mashiyane WITS)
8.1 The Nature of Heteroskedasticity 8.2 Using the Least Squares Estimator 8.3 The Generalized Least Squares Estimator 8.
8.1 The Nature of Heteroskedastcty 8. Usng the Least Squares Estmator 8.3 The Generalzed Least Squares Estmator 8.4 Detectng Heteroskedastcty E( y) = β+β 1 x e = y E( y ) = y β β x 1 y = β+β x + e 1 Fgure
Finite difference method for 2-D heat equation
Finite difference method for 2-D heat equation Praveen. C praveen@math.tifrbng.res.in Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore 560065 http://math.tifrbng.res.in/~praveen
C.S. 430 Assignment 6, Sample Solutions
C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order
derivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
Second Order RLC Filters
ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor
Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1
Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test
Reminders: linear functions
Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U
Statistical Inference I Locally most powerful tests
Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided
ΜΕΡΟΣ ΙΙI ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ
ΜΕΡΟΣ ΙΙI ΜΟΡΙΑΚΟ ΒΑΡΟΣ ΠΟΛΥΜΕΡΩΝ ΓΕΝΙΚΕΣ ΠΑΡΑΤΗΡΗΣΕΙΣ ΕΠΙ ΡΑΣΗ Μ.Β ΣΤΙΣ Ι ΙΟΤΗΤΕΣ ΠΟΛΥΜΕΡΩΝ ΜΑΘΗΜΑΤΙΚΗ ΠΕΡΙΓΡΑΦΗ ΤΗΣ ΚΑΤΑΝΟΜΗΣ ΜΟΡΙΑΚΟΥ ΒΑΡΟΥΣ ΣΥΝΑΡΤΗΣΗ ΠΙΘΑΝΟΤΗΤΟΣ ( ΙΑΦΟΡΙΚΗ) Probablty Densty Functon
Graded Refractive-Index
Graded Refractive-Index Common Devices Methodologies for Graded Refractive Index Methodologies: Ray Optics WKB Multilayer Modelling Solution requires: some knowledge of index profile n 2 x Ray Optics for
Space-Time Symmetries
Chapter Space-Time Symmetries In classical fiel theory any continuous symmetry of the action generates a conserve current by Noether's proceure. If the Lagrangian is not invariant but only shifts by a
1 String with massive end-points
1 String with massive end-points Πρόβλημα 5.11:Θεωρείστε μια χορδή μήκους, τάσης T, με δύο σημειακά σωματίδια στα άκρα της, το ένα μάζας m, και το άλλο μάζας m. α) Μελετώντας την κίνηση των άκρων βρείτε
Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------
Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin
Every set of first-order formulas is equivalent to an independent set
Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent
SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions
SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)
Classical Theory (3): Thermostatics of Continuous Systems with External Forces
Insttute of Flu- & Thermoynamcs Unersty of Segen Classcal Theory (3): Thermostatcs of Contnuous Systems wth External Forces 3/ Σ: Equlbrum State? Isolaton, Inhomogenety External Forces F ϕ Components:...
ΤΜΗΜΑ ΗΛΕΚΤΡΟΛΟΓΩΝ ΜΗΧΑΝΙΚΩΝ ΚΑΙ ΜΗΧΑΝΙΚΩΝ ΥΠΟΛΟΓΙΣΤΩΝ
ΤΜΗΜΑ ΗΛΕΚΤΡΟΛΟΓΩΝ ΜΗΧΑΝΙΚΩΝ ΚΑΙ ΜΗΧΑΝΙΚΩΝ ΥΠΟΛΟΓΙΣΤΩΝ ΗΜΥ 311: Διακριτή Ανάλυση και Δομές Χειμερινό Εξάμηνο 016 Σειρά Ασκήσεων 5: Απαρίθμηση, Αρχή της Θυρίδας, Συνδυασμοί και Μεταθέσεις, Γραφήματα και
Concrete Mathematics Exercises from 30 September 2016
Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)
On the Galois Group of Linear Difference-Differential Equations
On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts
PARTIAL NOTES for 6.1 Trigonometric Identities
PARTIAL NOTES for 6.1 Trigonometric Identities tanθ = sinθ cosθ cotθ = cosθ sinθ BASIC IDENTITIES cscθ = 1 sinθ secθ = 1 cosθ cotθ = 1 tanθ PYTHAGOREAN IDENTITIES sin θ + cos θ =1 tan θ +1= sec θ 1 + cot
CRASH COURSE IN PRECALCULUS
CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter
Forced Pendulum Numerical approach
Numerical approach UiO April 8, 2014 Physical problem and equation We have a pendulum of length l, with mass m. The pendulum is subject to gravitation as well as both a forcing and linear resistance force.
SOLUTIONS TO SECOND ORDER NON-HOMOGENEOUS MULTI-POINT BVPS USING A FIXED-POINT THEOREM
Electronc Journal of Dfferental Equaton, Vol. 88, No. 96, pp. 5. ISSN: 7-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu ftp ejde.math.txtate.edu logn: ftp SOLUTIONS TO SECOND ORDER NON-HOMOGENEOUS
Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.
Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +
CS348B Lecture 10 Pat Hanrahan, Spring 2002
Page 1 Reflecton Models I Today Types of eflecton models The BRDF and eflectance The eflecton equaton Ideal eflecton and efacton Fesnel effect Ideal dffuse Next lectue Glossy and specula eflecton models
Variational Wavefunction for the Helium Atom
Technische Universität Graz Institut für Festkörperphysik Student project Variational Wavefunction for the Helium Atom Molecular and Solid State Physics 53. submitted on: 3. November 9 by: Markus Krammer
Lecture 26: Circular domains
Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without eplicit written permission from the copyright owner. 1 Lecture 6: Circular domains
Numerical Analysis FMN011
Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =
Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =
Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n
ΗΥ537: Έλεγχος Πόρων και Επίδοση σε Ευρυζωνικά Δίκτυα,
ΗΥ537: Έλεγχος Πόρων και Επίδοση σε Ευρυζωνικά Δίκτυα Βασίλειος Σύρης Τμήμα Επιστήμης Υπολογιστών Πανεπιστήμιο Κρήτης Εαρινό εξάμηνο 2008 Economcs Contents The contet The basc model user utlty, rces and
Approximation of distance between locations on earth given by latitude and longitude
Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth
Geodesic Equations for the Wormhole Metric
Geodesic Equations for the Wormhole Metric Dr R Herman Physics & Physical Oceanography, UNCW February 14, 2018 The Wormhole Metric Morris and Thorne wormhole metric: [M S Morris, K S Thorne, Wormholes
D Alembert s Solution to the Wave Equation
D Alembert s Solution to the Wave Equation MATH 467 Partial Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Objectives In this lesson we will learn: a change of variable technique
Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.
Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given
Other Test Constructions: Likelihood Ratio & Bayes Tests
Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :
AREAS AND LENGTHS IN POLAR COORDINATES. 25. Find the area inside the larger loop and outside the smaller loop
SECTIN 9. AREAS AND LENGTHS IN PLAR CRDINATES 9. AREAS AND LENGTHS IN PLAR CRDINATES A Click here for answers. S Click here for solutions. 8 Find the area of the region that is bounded by the given curve
The Simply Typed Lambda Calculus
Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and
( y) Partial Differential Equations
Partial Dierential Equations Linear P.D.Es. contains no owers roducts o the deendent variables / an o its derivatives can occasionall be solved. Consider eamle ( ) a (sometimes written as a ) we can integrate
Variance of Trait in an Inbred Population. Variance of Trait in an Inbred Population
Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Varance of Trat n an Inbred Populaton Revew of Mean Trat Value n Inbred Populatons We showed n the last lecture that for a populaton
Differential equations
Differential equations Differential equations: An equation inoling one dependent ariable and its deriaties w. r. t one or more independent ariables is called a differential equation. Order of differential
ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007
Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο
Solution Set #2
. For the followng two harmon waves: (a) Show on a phasor dagram: 05-55-007 Soluton Set # phasor s the omplex vetor evaluated at t 0: f [t] os[ω 0 t] h f [t] 7os ω 0 t π f [t] exp[ 0] + 0 h f [t] 7exp
Solution Series 9. i=1 x i and i=1 x i.
Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x
From the finite to the transfinite: Λµ-terms and streams
From the finite to the transfinite: Λµ-terms and streams WIR 2014 Fanny He f.he@bath.ac.uk Alexis Saurin alexis.saurin@pps.univ-paris-diderot.fr 12 July 2014 The Λµ-calculus Syntax of Λµ t ::= x λx.t (t)u
[1] P Q. Fig. 3.1
1 (a) Define resistance....... [1] (b) The smallest conductor within a computer processing chip can be represented as a rectangular block that is one atom high, four atoms wide and twenty atoms long. One
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal
5 Haar, R. Haar,. Antonads 994, Dogaru & Carn Kerkyacharan & Pcard 996. : Haar. Haar, y r x f rt xβ r + ε r x β r + mr k β r k ψ kx + ε r x, r,.. x [,
4 Chnese Journal of Appled Probablty and Statstcs Vol.6 No. Apr. Haar,, 6,, 34 E-,,, 34 Haar.., D-, A- Q-,. :, Haar,. : O.6..,..,.. Herzberg & Traves 994, Oyet & Wens, Oyet Tan & Herzberg 6, 7. Haar Haar.,
3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β
3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle