2. SINGLE VS. MULTI POLARIZATION SAR DATA

Size: px
Start display at page:

Download "2. SINGLE VS. MULTI POLARIZATION SAR DATA"

Transcription

1 . SINGLE VS. MULTI POLARIZATION SAR DATA.1 Scatterng Coeffcent v. Scatterng Matrx In the prevou chapter of th document, we dealt wth the decrpton and the characterzaton of electromagnetc wave. A t wa hown, one of the man properte of a tranvere electromagnetc wave the vectoral nature of the electromagnetc feld, whch called polarmetry. An electromagnetc wave travel n tme and pace. In th voyagng through the pace, t may happen that the wave can reach a partcular target, then nteractng wth t, ee Fgure 1. A a conequence of th nteracton, part of the energy carred by the ncdent wave aborbed by the target telf, wherea the ret reradated a a new electromagnetc wave. Due to the nteracton wth the target, the properte of the reradated wave can be dfferent from thoe of the ncdent one. Then, the queton whch re at th pont f thee change could be employed to characterze or dentfy the target. In partcular, we are ntereted n the change concernng the polarzaton of the wave. In the followng, we preent the way n whch the nteracton of an electromagnetc wave and a gven target can be repreented. Incdent Wave r r r E ( ) = E e 0 ( jk r ) Scattered Wave r r r E ( ) = E e 0 ( jk r ) Target Fgure 1 Interacton of an electromagnetc wave and a target..1.1 Sngle Polarzaton Image: Scatterng Coeffcent Before to defne the nteracton of electromagnetc wave wth the nature, t neceary to ntroduce two mportant concept concernng the dea of target, nce they wll determne the way n whch they hall be characterzed. Gven a radar confguraton a depcted by Fgure 1, t may happen the target of nteret to be maller than the coverage of the radar ytem. In th tuaton, we conder the target a an olated catterer and from a pont of vew of power exchange, th target characterzed by the o-called radar cro ecton. Neverthele, we can fnd tuaton n whch the target of nteret gnfcantly larger that the coverage provded by the radar ytem. In thee occaon, t more convenent to characterze the 1

2 target ndependently of h extend. Hence, n thee tuaton, the target decrbed by the ocalled catterng coeffcent. The mot fundamental form to decrbe the nteracton of an electromagnetc wave wth a gven target the o-called radar equaton. Th equaton etablhe the relaton between the power whch the target ntercept from the ncdent electromagnetc wave E r and the power reradated by the ame target n the form of the cattered wave E r. The radar equaton preent the followng form PG A P = r σ 4π 4 (1) t t r Rt π Rr where P r repreent the power detected at the recevng ytem. The term PG t 4π R t t determned by the ncdent feld E r and t cont of t power denty expreed n term of the properte of the tranmttng ytem. The dfferent term n () are: the tranmtted power P t, the antenna gan G t and the dtance between the ytem and the target R t. On the contrary, the term A 4π R r r contan the parameter concernng the recevng ytem: the effectve aperture of the recevng antenna A r and the dtance between the target and the recevng ytem R r. The lat term n (1),.e, σ, determne the effect of the target of nteret on the balance of power etablhed by the radar equaton. Snce () a power denty,.e., power par unt area and (3) dmenonle, the parameter σ ha unt of area. Conequently, σ cont of an effectve area whch characterze the target. Th parameter determne whch amount of power ntercepted from the denty () by the target and reradated. Th reradated power fnally ntercepted by the recevng ytem (3), accordng to the dtance R t. An mportant fact whch are at th pont the way the target reradate the ntercepted power n a gven drecton of the pace. In order to be ndependent of th property, the radar cro ecton hall be referenced to and dealzed otropc catterer. Thu, the radar cro ecton of an object the cro ecton of an equvalent otropc catterer that generate the ame cattered power denty a the object n the oberved drecton r E σ = 4πR r = 4π S (4) E where E r repreent the ntenty of the electromagnetc feld and S the complex catterng ampltude of the object. The fnal value of σ a functon of a large number of parameter whch are dffcult to conder ndvdually. A frt et of thee parameter are concerned wth the magng ytem: Wave frequency f. () (3)

3 Wave polarzaton. Th dependence pecally condered later. Imagng confguraton, that, ncdent (θ,φ ) and catterng (θ,φ ) drecton. A econd et of parameter are related wth the target telf Object geometrcal tructure. Object delectrcal properte. Then, the radar cro ecton σ able to characterze the target beng maged for a partcular frequency, and magng ytem confguraton. The radar equaton, a gven by (1), vald for thoe cae n whch the target of nteret maller than the radar coverage, that, a pont target. For thoe target preentng an extend larger than the radar coverage, we need a dfferent model to repreent the target. In thee tuaton, a target repreented a an nfnte collecton of tattcally dentcal pont target. Fgure preent an cheme of th type of target. Fgure Interacton of an electromagnetc wave and an extended target. A t can be oberved n Fgure, the reultng cattered feld E r reult from the coherent addton of the cattered wave from every one of the ndependent target whch model the extended catterer. In order to expre the catterng properte of the extended target ndependently of t area extend, we conderer every elementary target a beng decrbed by a dfferental radar cro ecton dσ. In order to eparate the effect of the target extend, we conder dσ a the product of the averaged radar cro ecton per unt area σ 0 and the dfferental area occuped by the target d. Then, the dfferental power receved by the ytem due to an elementary catterer can be wrtten a PG A dp = r σ d 4π 4 (5) t t 0 r Rt πrr Hence, to fnd the total power receved from the extended target we need to ntegrate over the llumnated area A 0 3

4 P r = PG A σ d 4π 4 (6) A 0 t t 0 r Rt πrr It mut be noted that the radar equaton at (1) repreent a determntc problem, wherea (6) conder a tattcal problem. Eq. (6) repreent the average power returned from the extended target. Hence, the radar cro ecton per unt area σ 0, or mply catterng coeffcent, the rato of the tattcally averaged cattered power denty to the average ncdent power denty over the urface of the phere of radu R r r 0 σ E 4π Rr σ = = r (7) A 0 A0 E The catterng coeffcent σ 0 a dmenonle parameter. A n the cae of the radar cro ecton, the catterng coeffcent employed to characterze the cattered beng maged by the radar. Th characterzaton for a partcular frequency f, polarzaton of the ncdent and cattered wave and ncdent (θ,φ ) and catterng (θ,φ ) drecton..1. Dfferent Emon-Recepton Polarzaton State A t ha been hown n the prevou ecton, the characterzaton of a gven catterer by mean of the radar cro ecton σ or the catterng coeffcent σ 0 depend alo on the polarzaton of the ncdent feld E r. A one can oberve n (4) and (7), thee two coeffcent are expreed a a functon of the ntenty of the ncdent and cattered feld. Conequently, σ and σ 0 hall be only enble to the polarzaton of the ncdent feld through the effect the polarzaton ha over the power of the related electromagnetc wave. Hence, f we denote by p the polarzaton of the ncdent feld and by q the polarzaton of the cattered feld, we can defne the followng polarzaton dependent radar cro ecton and catterng coeffcent repectvely r E qp σqp = 4πR r = 4π S qp (8) Eqp r σ E 0 4 qp qp π Rr σ qp = = r (9) A 0 A0 E qp.1.3 General Cae: Scatterng Matrx A t ha been hown n the prevou two ecton, a gven target of nteret can be characterzed by mean of the radar cro ecton or the catterng coeffcent dependng on the nature of the catterer telf, ee (4) and (7). Addtonally, n (8) and (9) t ha been hown that thee two coeffcent depend alo on the polarzaton of the ncdent and the cattered electromagnetc feld. A cloer look to thee expreon reveal that thee two coeffcent 4

5 depend on the polarzaton of the electromagnetc feld only through the power aocated wth them. Thu, they do not explot, explctly, the vectoral nature of polarzed electromagnetc wave. Conequently, n order to take advantage of the polarzaton of the electromagnetc feld, that, ther vectoral nature, the catterng proce at the target of nteret mut be condered a a functon of the electromagnetc feld themelve. In the prevou chapter, t wa hown that the polarzaton of a plane, monochromatc, electrc feld could be repreented by the o-called Jone vector. Addtonally, a et of two orthogonal Jone vector form a polarzaton ba, n whch, any polarzaton tate of a gven electromagnetc wave can be expreed. Therefore, gven the Jone vector of the ncdent and the cattered wave, E and E repectvely, the catterng proce occurrng at the target of nteret expreed a follow S S S E = S (,//) E r = E r S// S //// jkr jkr e e // where the matrx [S (,//) ] receve the name of catterng matrx and the entre of th matrx S pq, for p, q (,//), are the o-called complex catterng coeffcent or complex catterng ampltude. The dagonal element of the catterng matrx receve the name of co-polar term, nce they relate the ame polarzaton for the ncdent and the cattered feld. Neverthele, the off-dagonal element are known a cro-polar term a they relate jkr orthogonal polarzaton tate. Fnally, the term e r take nto account the propagaton effect both, n ampltude and phae. It mut be taken nto account that the relaton expreed by (10) only vald for the far feld zone, where the planar wave aumpton condered for the ncdent and the cattered feld. Conderng (8), the element of the catterng matrx can be related wth the radar cro ecton of a gven target a follow (10) σ qp Sqp = p, q (,//) (11) 4π A t can be deduced from the prevou equaton, the characterzaton of a gven target by mean of the catterng matrx allow the poblty to explore the phae nformaton provded by the phae of complex catterng coeffcent, and no only the ntenty or ampltude. A one can oberve, the polarmetrc catterng equaton preented at (10) nvolve the Jone vector of the ncdent and the cattered feld, whch characterze ther polarzaton properte n a gven coordnate ytem. In order to be correct, thee two Jone vector mut be expreed wthn the ame coordnate reference. A a reult, the catterng matrx hall be aocated to a partcular coordnate ytem. In (10), we conder the coordnate ytem centered at the target. Hence, the ba (,//) refer to a plane repect the coordnate ytem centered n the target to whch the feld and the catterng matrx are referred. The followng example demontrate the mportance of the phae parameter. Let conder a trhedral and a dhedral. Thee two target preent the radar cro ecton coeffcent and catterng matrce gven n Fgure 3 n the polarzaton ba formed wth the horzontal and vertcal polarzaton tate, whch are parallel to the ˆx and ŷ ax, repectvely. A t can be concluded from Fgure 3, the trhedral and the dhedral cannot be dfferentated n term of the radar cro ecton coeffcent, wherea they are een a dfferent object f they are analyzed by mean of the correpondng catterng matrce. The concluon whch can be 5

6 extracted at th pont that polarmetry open the door to conder phae meaurement to characterze the target. ŷ ŷ ˆx ˆx Trhedral σxx σxy 1 0 4π σ yx σ = yy S ( xy, ) = 0 1 Fgure 3 Trhedral and dhedral polarmetrc characterzaton. Dhedral σxx σxy 1 0 4π σ yx σ = yy S ( xy, ) = 0 1 Snce the catterng matrx [S (,//) ] employed to characterze a gven target, t can be parameterzed a follow ( ϕ ϕ ) j jkr jϕ jϕ // jkr j // e S e S S S // e ϕ e e // e S = = S e S e 1443 S e S e (,// ) jϕ jϕ // //// j( // ) j r r ϕ ϕ ( ϕ ϕ //// ) // //// Abolute Phae Term // //// RelatveScatterng Matrx (1) The abolute phae term n (1) not condered a an ndependent parameter nce t preent an arbtrary value due to t dependence on the dtance between the radar and the target. Conequently, t aumed that the catterng matrx can be parameterzed by 7 ndependent parameter: the ampltude { S, S //, S //, S //// } and the relatve phae {(ϕ // - ϕ ), (ϕ // -ϕ ),(ϕ //// -ϕ )}. A a concluon, a gven target of nteret determned by 7 ndependent parameter n the mot general cae and an abolute value. It mportant, at th pont, to analyze ome partcular apect about the defnton of the matrx [S (,//) ] and the relaton about the dfferent coordnate ytem whch can be defned to decrbe the catterng proce characterzed n (10). A t wa already hghlghted n the prevou two ecton of th chapter, the radar cro ecton and the catterng coeffcent depend on the drecton of the ncdent and the cattered wave. When conderng the matrx [S (,//) ], the analy of th dependence of extreme mportance nce t alo nvolve the defnton of the polarzaton of the ncdent and the cattered feld. Snce (10) conder the polarzed electromagnetc wave themelve, t mandatory to aume a frame n whch the polarzaton defned. There ext two prncpal conventon concernng the framework where the polarmetrc catterng proce condered: Forward Scatter Algnment (FSA) and Backcatter Algnment (BSA), ee Fgure 4. In both cae, the electrc feld of the ncdent and the cattered wave are expreed n local coordnate ytem centered on the tranmttng and recevng antenna, repectvely. 6

7 All coordnate ytem are defned n term f a global coordnate ytem centered nde the target of nteret. (a) (b) Fgure 4 Reference framework: (a) FSA, (b) Btatc BSA and (c) Monotatc BSA. The FSA conventon, ee Fgure 4a, alo called wave-orented nce t defned relatve to the propagatng wave, normally condered n btatc problem, that t, n thoe confguraton n whch the tranmtter and the recever are not located at the ame patal poton. The btatc BSA conventon framework, ee Fgure 4b, defned, on the contrary, repect to the radar antenna n accordance wth the IEEE tandard. The advantage of the BSA conventon that for a monotatc confguraton, alo called backcatterng confguraton, that, when the tranmttng and recevng antenna are collocated, the coordnated ytem of the two antenna concde, ee Fgure 4c. Th confguraton preferred n the radar polarmetry communty. In the monotatc cae, the catterng matrx n the FSA conventon, [S (,//) ] FSA, can be related wth the ame matrx referenced to the monotatc BSA conventon [S (,//) ] BSA a follow 1 0 S (,//) S = (,// BSA ) 0 1 FSA (c) (13) A t ha been mentoned prevouly, n the radar polarmetry communty, the monotatc BSA conventon (backcatterng) condered a the framework to characterze the catterng 7

8 proce. The reaon to elect th confguraton due to fact that the majorty of the extng polarmetrc radar ytem operate wth the ame antenna for tranmon and recepton. One mportant property of th confguraton, for recprocal target, recprocty, whch tate that [ S // ] [ S// ] BSA [ S ] [ S ] = (14) BSA = (15) // FSA // FSA Then, the formalzaton of the catterng proce gven by (10), n the monotatc cae under the BSA conventon, reduce to S S S E = S (,//) E r = E r S // S //// jkr jkr e e // In the ame ene, equaton (1) take the form ( ϕ ϕ ) j jkr jϕ jϕ // jkr j // e S e S S S // e ϕ e e // e S = = S e S e 1443 S e S e (,// ) jϕ jϕ // //// j( // ) j r r ϕ ϕ ( ϕ ϕ //// ) // //// Abolute Phae Term // //// RelatveScatterng Matrx The man conequence of (17) that n the backcatterng drecton, a gven target no longer characterzed by 7 ndependent parameter, but by 5. Thee are: the ampltude { S, S //, S // } and the relatve phae {(ϕ // -ϕ ),(ϕ //// -ϕ )} and one addtonal abolute phae. (16) (17). Addtonal Informaton..1 Span: Jont Intenty Informaton A t wa ndcated at the begnnng of Secton.1.1, a central parameter when conderng the catterng proce occurrng at a gven target cont of the cattered power. For ngle polarzaton ytem, the cattered power determned by mean of the radar cro ecton or the catterng coeffcent. Neverthele, a polarmetrc radar ha to be condered a a mult channel ytem. Conequently, n order to determne the cattered power, t neceary to conder all the data channel, that, all the element of the catterng matrx. The total cattered power, n the cae of a polarmetrc radar ytem know a pan, beng defned n the mot general cae a ( ( ) ) trace,// (,// ) (,// ) T * SPAN S S S = = S + S // + S// + S//// (18) where trace(.) repreent the trace of a matrx, contng of the addton of the element of the prncpal dagonal. In the backcatterng cae, due to the recprocty theorem, the pan reduce to ( ( ) ) SPAN S = S + S + S,// // //// (19) 8

9 The man property of the pan that t polarmetrcally nvarable, that, t doe not depend on the polarzaton ba employed to decrbe the polarzaton of the electromagnetc wave. Now, f we conder the defnton (11) nto (19) we get ( ( ) ) = 4,// ( + + // //// ) SPAN S π σ σ σ (0) (db) S hh (db) S hv (db) S vv -30dB -15dB 0dB Span Fgure 5 Intente of the element of the catterng matrx meaured n the ba (h,v) and the reultng pan. Therefore, the pan preent the ame lmtaton a the radar cro ecton n order to repreent the polarmetrc nformaton contaned n the catterng matrx, that, the mportant 9

10 nformaton provded by the meaurement of the relatve phae completely lot. Addtonally, nce t polarmetrcally nvarable, t doe not contan polarmetrc nformaton at all. One of the man applcaton of the pan to preent the multdmenonal nformaton provded by the catterng matrx n a ngle mage. But, a hown n the prevou paragraph, th mage doe not contan any polarmetrc nformaton at all. Fgure 5 preent an example of the pan mage... Lexcographc Color-Coded Repreentaton In the prevou ecton, we howed that t wa poble to preent part of the nformaton contaned n the catterng matrx [S (,//) ] n a ngle mage by mean of the pan of the catterng matrx, but at the expene to looe all the polarmetrc nformaton. In what t follow, we ntroduce two alternatve to repreent part of the multdmenonal nformaton provded by the catterng matrx n a ngle mage. Thee two alternatve are baed on the decompoton RBG of color mage....1 RBG color codng The RGB color model an addtve color model n whch red, green, and blue lght are combned n varou way to create other color. The very dea for the model telf and the abbrevaton "RGB" come from the three prmary color n addtve lght model. The concept to retan that we can create any color of the pectra by combnng the three prmary color: red, green and blue lght, that, color can be condered a a three dmenonal pace. Fgure 6 preent the color pace, coded n the RGB bae. Blue Whte Red Green Fgure 6 RBG color cube. Conequently, three dfferent parameter can be repreented n a ngle color mage by codng each ntal parameter a one color of the RGB pace. Therefore, the color n the reultng mage can be nterpreted n term of the three electedparameter.... Polarmetrc nformaton coded a a color The color repreentaton preented above now condered to repreent the polarmetrc nformaton provded by the catterng matrx [S (,//) ]. The lexcographc color-coded 10

11 repreentaton conder the ntenty of the element of [S (,//) ], n the backcatterng drecton, a the dmenon of the color pace. A poble codfcaton could be S // //// Red S Green (1) S Blue depte any other codfcaton alo valuable. Agan, t mut be menton that, nce we are conderng the ntenty of the dfferent element of the catterng matrx, th codfcaton not able to reflect the nformaton that can be provded by the relatve phae of element...3 Importance of Relatve Phae Term: Paul Color-Coded Repreentaton In the followng we preent a color-coded repreentaton of the nformaton provded by the catterng matrx whch take nto account the nformaton provded by the relatve phae of the dfferent entre of the matrx. Any ymmetrc matrx can be parameterzed a a functon of three parameter {a, b, c} a follow S11 S1 a+ b c S1 S = c a b If we now conder the repreentaton of the catterng matrx n the backcatterng cae preented n (16), we can obtan the followng equvalence S + S a = S S b = c = S // The Paul color-coded repreentaton conder the codfcaton n color of the ntenty of the parameter n (3) a follow //// //// () (3) b c a Red Green Blue (4) Fnally, Fgure 8a preent an example or the Paul Color coded repreentaton of the mage channel preented n Fgure 5..3 Polarzaton Ba and Polarmetrc Sgnature 11

12 .3.1 Acquton Accordng to Orthogonal Jone Vector: Polarzaton Ba A t wa demontrated n the precedng chapter, the Jone vector correpondng to a gven electromagnetc feld can be expreed n an orthonormal ba (,//) a E = E + ˆ E // ˆ (5) where the untary vector ˆ and // ˆ form the o-called polarzaton ba. If now, we conder the polarmetrc catterng equaton, ee (10), the Jone vector correpondng to the ncdent and the cattered wave, E and E repectvely, are expreed n the orthonormal ba (,//). Conequently, the catterng matrx [S (,//) ] pecfe how the target tranform the polarzaton of the ncdent feld to the cattered feld when both are expreed n the ba (,//). A a reult, t ad that the catterng matrx [S (,//) ] ha been acqured wth repect to the polarzaton ba (,//). //.3. Acquton n ONE Polarzaton Ba: Repreentaton n ANY Polarzaton Ba The catterng properte of a gven target, a demontrated, are contaned wthn the catterng matrx [S (,//) ], whch, a hown prevouly, meaured n the partcular polarzaton ba (,//). Snce, there ext an nfnte number of orthonormal polarzaton bae, the queton rang at th pont that whether t poble or not to nfer the polarmetrc properte of the gven target n any polarzaton ba from the repone meaured at a partcular ba, for ntance (,//). Th queton preent an affrmatve anwer. The poblty to yntheze any polarmetrc repone of a gven target from t meaurement n a partcular orthonormal ba repreent the mot mportant property of polarmetrc ytem n comparon wth ngle-polarzaton ytem. The mot mportant conequence of th proce that the amount of nformaton about a gven catterer can be ncreaed, allowng a better characterzaton and tudy. Th polarzaton ynthe proce baed on the concept of change of polarzaton ba preented n the prevou chapter. In what t follow, we hall conder the polarzaton ynthe proce n the backcatterng drecton or monotatc confguraton of a radar ytem. 1

13 Incdent Wave r r ( jk r ) r E ( r ) = E e 0 k ˆ k ˆ = k ˆ [ S ] Target Scattered Wave r r r r ( jk r ) ( jkr ) ( ) E r = Ee = Ee 0 0 TRANSMITTER RECEIVER Fgure 7 Polarzaton ynthe proce n the backcatterng drecton. Before to decrbe the polarzaton ynthe proce n the backcatterng drecton, t neceary to analyze the catterng proce gven by (10) wth repect to the drecton of propagaton of the ncdent and the cattered feld. A oberved n Fgure 7, the ncdent feld propagate n the drecton gven by the untary vector k, wherea the cattered one propagate n the oppote drecton, gven by k ˆ. Conequently, th dfference n the propagaton drecton mut be taken nto account when defnng the polarzaton tate of the wave. Gven a Jone vector propagatng n the drecton ˆk, the Jone vector of the ame wave, but whch propagate n the drecton ˆk obtaned a * ( ) ( ) kˆ kˆ E kˆ = E ˆ k (6) ˆ From now, we hall not conder the catterng matrx referred to the coordnate ytem centered at the target, but n the ax coordnate centered n the tranmttng/recevng ytem. Conder a polarmetrc radar ytem a depcted by Fgure 7, whch tranmt the electromagnetc wave n the followng orthonormal ba (A, A ). In th partcular ba, the ncdent and cattered feld are related by the catterng matrx a follow S S AA AA E = E S SAA S = A A ( AA, ) ( AA, ) ( AA, ) ( AA, ) E (7) A hown n the prevou chapter, gven the Jone vector meaured n a partcular ba, for ntance (A, A ), t poble to derve t n any other polarzaton ba (B, B ) by mean of the followng mple mathematcal tranformaton E( ) = U BB, ( AA, ) ( BB, ) E a ( AA, ) (8) Then, f we conder (8) for the ncdent Jone vector n (7), we get = a, (9) E U E ( BB, ) ( AA, ) ( BB, ) ( AA ) 13

14 = a, (30) E U E ( AA, ) ( BB, ) ( AA, ) ( BB ) In order to apply the tranformaton ba procedure to the cattered feld E( AA, ) we need to conder that t propagate n the oppote drecton a the ncdent feld E ( AA, ). Hence, n order to conder both feld n the ame frame of reference, that, ther polarzaton are referred to the ame coordnate ytem we need to conder (6). A a reult, the tranformaton ba procedure apple to the cattered feld a follow * E U E = ( BB, ) ( AA, ) a ( BB, ) ( AA ) * E U E, ( A, A ) ( B, B ) ( A, A ) ( B, ) Now, ntroducng the reult of (30) and (3) nto (7) we get (31) = a B (3) * U E = S U E a a ( BB, ) ( AA, ) ( BB, ) ( AA, ) ( BB, ) ( AA, ) ( BB, ) * 1 E = U S U E a a, ( BB, ) ( BB, ) ( AA, ) ( AA, ) ( BB, ) ( AA, ) ( BB ) * Snce the tranformaton matrx U ( AA ) ( ) untary,.e.,, a BB, [ U] = [ U] 1 T, we get (33) (34) (a) S hh + S vv S hh - S vv S hv 14

15 (b) S aa + S bb S aa - S bb S ab (c) S ll + S rr S ll - S rr S lr Fgure 8 Polarzaton ynthe. (a) Meaured repone at the lnear polarzaton ba (h,v). (b) Synthe of the repone n the lnear ba rotated 45 degree (a,b). (c) Synthe n the crcular polarzaton ba (l,r). T E U S U E a a, = ( BB, ) ( BB, ) ( AA, ) ( AA, ) ( BB, ) ( AA, ) ( BB ) (35) In the prevou equaton, we can clearly dentfy, then, T S ( ) U ( ) ( ) S BB, BB, AA, ( AA, ) U = a ( BB, ) a ( AA, ) (36) The tranformaton expreed n (36) receve the name of con-mlarty tranformaton. Th tranformaton allow to yntheze the catterng matrx n an arbtrary ba (B, B ), from t meaure n the ba (A, A ). If ntead of an arbtrary ba, we conder the lnear orthogonal polarzaton ba (ˆ x, y ˆ, the tranformaton matrx from ( ˆ, ˆ) x y to an arbtrary ellptcal ba can be parameterzed a U U U U = // ( ˆ ˆ) ( ) ( φ) ( τ xy, A, A ) ( α a ) jα coφ nφ coτ jnτ e 0 = jα nφ coφ jnτ coτ 0 e Fgure 8 preent an example of the applcaton of the con-mlarty tranformaton gven at (36) to yntheze the polarmetrc repone at dfferent polarzaton ba. The polarmetrc nformaton repreented by mean of the Paul color-coded repreentaton. The orgnal polarmetrc et, preented n Fgure 8a obtaned n the lnear polarzaton ba (h,v), where h tand for the horzontal polarzaton and v for the vertcal polarzaton. Ung (37) the repone to two dfferent polarzaton ba ynthezed. Fgure 8b preent the repone to the orthonormal ba (a,b) where a ndcate the lnear polarzaton at 45 degree ) (37) 15

16 and b the lnear polarzaton at -45 degree. Fnally, Fgure 8c how the repone to the crcular polarzaton ba (l,r), where l refer to the left crcular polarzaton and r to the rght crcular polarzaton..3.3 Complete Polarmetrc Characterzaton of Each Pxel: Polarzaton Sgnature In the prevou ecton, we have employed the powerful con-mlarty tranformaton to yntheze the polarmetrc repone jut n two alternatve polarzaton bae: the 45 degree rotated lnear ba (a, b) and the crcular polarzaton ba (l, r). Neverthele, th ecton am to explot all the nformaton whch can be extracted from th tranformaton through the exploraton of the pace of all poble polarzaton bae. The objectve of th proce to preent a new way to characterze a gven catterer. Fgure 9 preent the cheme of a general polarmetrc radar employed to meaure a gven target, characterzed by a partcular catterng matrx. In th cheme, the Jone vector A refer to the polarzaton emtted by the tranmttng ytem and B ndcate the Jone vector contanng the polarzaton wth repect to whch the recevng antenna receve the cattered feld E. In th context, the power receved at the recevng ytem obtaned by mean of T B E P = α (38) where α contan all thoe term whch do not depend on the polarzaton of the antenna A and B. Ung the characterzaton of the target by mean of the catterng matrx, t poble to rewrte (38) a follow [ S ] Target A E B TRANSMITTER RECEIVER Fgure 9 General polarmetrc ytem confguraton. [ ] B T PA α B S = A (39) In the frame of (39), two dfferent power meaurement are defned: 16

17 The co-polarzed power. In th confguraton, we aume that the tranmttng and recevng antenna are characterzed by the ame polarzaton tate. Hence, (39) turn out to be [ ] T PCO α A S = A (40) The cro-polarzed power. In th cae, t aumed that the recever antenna receve wth the orthogonal polarzaton of the tranmttng ytem. Thu, we wrte (39) a [ ] T PX α A S = A (41) The co- and cro-polarzed power can be generate ynthetcally, nce, gven the lnear polarzaton ba (ˆ x, y ˆ, we can wrte an arbtrary polarzaton tate and ) coφ nφ coτ jnτ A = xˆ nφ coφ jnτ coτ π π co φ + n φ + co( τ) jn( τ) A= xˆ π π jn( τ) co( τ) n φ co φ + + Conequently, we can obtan the co- and cro-polarzed power, P CO and P X, a a functon of the angle φ and τ, that, the ellpe orentaton and the ellpe aperture whch defne the polarzaton ellpe of an electromagnetc wave. We have not condered here the phae term α. Secton.5 preent the polarzaton gnature for the canoncal catterng mechanm. (4) (43).4 Optmal Polarzaton State and The Poncaré Sphere.4.1 Optmal Polarzaton State: Deducton Orented Parameterzaton A t ha been hown n the prevou ecton of th chapter, the receved power at the recever ytem vare accordng to the polarzaton of the tranmtted and ncdent wave, and on the charactertc of the target under tudy through t catterng matrx [S], (39). In the cae of the polarzaton gnature, we partcularzed the tudy of the receved power to two pecal cae. On the one hand, we have condered the tuaton n whch the tranmttng and recevng ytem employ the ame polarzaton. On the other hand, the cae n whch both ytem ue orthogonal polarzaton ha been analyzed. The polarzaton gnature for the co-polar and cro-polar confguraton, gven by (40) and (41) repectvely, explore all the 17

18 pace of poble polarzaton. Neverthele, the characterzaton of a partcular catterer can be alo performed by tudyng the o culled charactertc polarzaton tate. Thee tate are defned a uch wave polarzaton tate gvng a a reult maxmum or mnmum receved power. Gven a partcular polarzaton tate for an electromagnetc wave, the correpondng Jone vector can be repreented n term of the polarzaton rato ρ a preented n the prevou chapter. Then for the Jone vector A jα e 1 A = 1 ρ ρ + The Jone vector of the orthogonal tate A (44) A + jα * e ρ = 1+ ρ 1 (45) If now, we conder the catterng matrx a [ S] S S XX XY = SXY S YY the co-polar P CO and cro-polar P X can be repectvely wrtten a follow (46) CO α XX ρ XY ρ YY P = S + S + S (47) ( 1 ) P = αρs ρ S + ρsyy (48) * X XX XY Then, n order to derve the charactertc polarzaton tate, we need to calculate the followng dervatve P CO = 0 ρ P X = 0 ρ A one can oberve, (47) and (48) cont of blnear form. Conequently, the procee preented at (49) and (50) to derve the charactertc polarzaton tate hall preent two oluton. The next two ecton analyze the charactertc tate reultng from (49) and (50) Charactertc Polarzaton State n the Co-polar Confguraton The co-polar power P CO preent two polarzaton tate reultng n maxmum receved power. Thee two tate are called COPOL MAX and are repreented by the par of polarzaton tate (K,L). Then, K PK L PL The COPOL MAX polarzaton tate are orthogonal. (49) (50) Global Maxmum (51) Local Maxmum (5) 18

19 Addtonally, the co-polar power P CO ha two charactertc polarzaton tate for whch the receved power zero. Th par of polarzaton tate are named COPOL NULLS and are repreented by (O 1,O ). Thee polarzaton tate gve a a reult P O = (53) O1 0 1 O P O = (54) 0 The man charactertc of thee tate that they are not mutually orthogonal Charactertc Polarzaton State n the Cro-polar Confguraton In the cae of the cro-polar power P X, t poble to fnd three par of orthogonal polarzaton tate whch reult nto charactertc polarzaton tate. The frt par of polarzaton tate reult nto maxmum receved power at the recever ytem. Th par of polarzaton tate receve de name of XPOL MAX and are repreented by the par (C 1,C ). Thee tate reult nto P C1 C P 1 C C The tate (C 1,C ) are mutually orthogonal. Global Maxmum (55) Local Maxmum (56) The econd par of polarzaton tate gve null revved power. Th et of polarzaton tate known a XPOL NULL and are repreented by (X 1,X ), reultng nto PX = (57) X1 0 1 X PX = (58) 0 A frt etablhed by Kennaugh, the XPOL NULL and the COPOL MAX repreent the ame par of polarzaton tate. Conequently, (X 1,X ) cont alo n orthogonal polarzaton tate. Fnally, n the cae of the cro-polar power, t poble to defne a thrd par of polarzaton tate whch can be taken a charactertc. Thee polarzaton tate reult nto a mnmum receved power and are know a XPOL SADDLE. They are repreented by (D 1,D ) and P D1 D P 1 D D Global Mnmum (59) Local Mnmum (60) Agan, (D 1,D ) cont of mutually orthogonal polarzaton tate..4. Repreentaton on The Poncare Sphere In the former chapter, we preented the repreentaton of a gven polarzaton tate nto the ocalled Poncare Sphere. In the followng, we are gong to make ue of th repreentaton to how that the charactertc polarzaton tate par gven prevouly preent a partcular hape nto the Poncare phere. Fgure 10 preent the repreentaton of the charactertc polarzaton tate wthn the Poncare phere. 19

20 V C 1 O 1 L X D 1 D U Q K X 1 O Fgure 10 Repreentaton n the Poncare Sphere of the fve par of charactertc polarzaton tate. C In the prevou fgure, t can be clearly oberved that all the par except (O 1,O ) repreent par of orthogonal polarzaton tate nce they cont of antpodal pont of the Poncare Sphere. Addtonally, t poble to recognze that the orthogonal par of polarzaton tate XPOL NULL (equal to the COPOL MAX) and XPOL MAX defne a plane wthn the Poncare phere whch alo contan the non-orthogonal par of COPOL NULLS..4.3 Polarzaton Fork In the prevou ecton, we have condered the repreentaton of the fve par of charactertc polarzaton tate wthn the Poncare Sphere. Huynen ntroduced the concept of Polarzaton Fork by conderng only the repreentaton of the par (K,L) or (X 1,X ) and the non-orthogonal et (O 1,O ). Fgure 11 gve the repreentaton of the polarzaton fork. In order to better undertand th concept t helpful to conder the parameterzaton of the catterng matrx propoed by Hyunen. Gven an arbtrary catterng matrx, we want to fnd the rotaton matrx [U], n the ene of (37), whch gve a a reult a dagonal catterng matrx. In general, the dagonalzaton of a matrx performed by the tandard egen-decompoton of matrce. Neverthele, n the backcatterng cae under the BSA conventon, we have to be aware that we are dealng wth electromagnetc wave travelng n oppote drecton. Conequently, the dagonalzaton of the catterng matrx mut be done accordng to the con-mlarty tranformaton, a preented n Secton.3.. In th partcular tuaton, the dagonalzaton of the catterng matrx done wth the peudo egen-decompoton, that, 0

21 [ ] S X * = λ X (61) where λ refer to the peudo-egenvalue of [S] and X to the correpondng peudoegenvector. Snce the catterng matrx cont of a complex ymmetrc matrx n the backcatterng cae under the BSA conventon, (61) preent two oluton. A demontrated by Huynen, the peudo-egenvector of the catterng matrx correpond to the XPOL NULL,.e., (X 1,X ). Snce thee two polarzaton tate are orthogonal, t only neceary to pecfy one of them. Therefore, the con-mlarty tranformaton to dagonalze the catterng matrx S U S = U ( X, X ) ( X, X ) a( X, Y) ( X, Y) ( X, X ) a ( X, Y) U X X X Y where, the untary matrx ( 1, ) a(, ) take the form T ( ) ( ) [ X X, X X, Y ] (6) U 1 = 1 X a (63) and t can be parameterzed a gven by (37),.e., t can be expreed n term of the three angle {φ, τ, α}. Huynen parameterzed the reultng dagonal matrx a follow 1 0 j S ( X1, X) = m e ξ 0 tan γ where m repreent the maxmum polarzaton and the angle γ the target hp angle. Fnally ξ cont of an abolute phae. A a reult, Huynen parameterzed the catterng matrx n term of the 5 Euler parameter {m, γ, φ, τ, α} and the abolute phae ξ. A can be oberved n Fgure 11, the angle γ determne the angle between the lne formed by the tate (X 1,X ) and (O 1,O ), both condered to be over the ame ecton or plane of the Poncare phere. Addtonally, the three Euler parameter {φ, τ, α} cont of the rotaton to be done over every one of the three ax defnng the pace n order to brng the polarzaton tate gven by x, correpondng to a lnear polarzed wave, to the polarzaton tate gven by X 1. (64) 1

22 φ $z$z X 1 0 γ O $y$y τ $x$x ν X O 1 Fgure 11 Polarzaton fork..5 Canoncal Scatterng Mechanm A real target preent alway a complex catterng repone a a conequence of t complex geometrcal tructure and t reflectvty properte. Conequently, the nterpretaton of th repone obcure. A t hall be preented n a future chapter, a poble oluton to nterpretate th repone to decompoe t nto the repone of canoncal mechanm. Thee catterng mechanm are characterzed by preentng a mple catterng repone. Th ecton preent the lt of th canoncal catterng mechanm and t characterzaton by the catterng matrx and the polarmetrc gnature. The catterng matrx hall be preented n three dfferent orthogonal polarmetrc bae: Lnear polarzaton ba (h,v) where h and v tand for the horzontal and vertcal polarzaton repectvely. Lnear rotated ba (a,b) where a and b tand for the 45 degree lnear and the -45 degree lnear polarzaton repectvely. Crcular polarzaton ba (l,r) where l and r tand for the left crcular and the rght crcular polarzaton repectvely.

23 .5.1 Sphere, Plane, Trhedral ˆ v t ˆ h t Fgure 1 Trhedral orentated horzontally. Scatterng matrce of a phere, a plane or a trhedral n the three polarzaton ba: Lnear polarzaton ba (h,v) [ S] 1 0 = 0 1 Lnear rotated polarzaton ba (a,b) [ S] 1 0 = 0 1 Co-polar and cro-polar gnature of a phere, a plane or a trhedral: Crcular polarzaton ba (l,r) [ S] 0 j = j 0 P CO P X Fgure 13 Co-polar and Cro-polar gnature correpondng to a phere, plane or trhedral. 3

24 .5. Dpole.5..1 Dpole orentated n the vertcal ax ˆ v t ˆ h t Fgure 14 Dpole orentated n the vertcal ax. Scatterng matrce of a dpole orentated n the vertcal ax n the three polarzaton ba: Lnear polarzaton ba (h,v) [ S] 1 0 = 0 0 Lnear rotated polarzaton ba (a,b) [ S] = 1 1 Crcular polarzaton ba (l,r) [ S] Co-polar and cro-polar gnature of a dpole orentated n the vertcal ax: 1 1 j = j 1 P CO P X Fgure 15 Co-polar and Cro-polar gnature correpondng to a dpole orented vertcally. 4

25 .5.. Orented dpole In th cae, we conder the dpole orented wth an angle φ: ˆ v t l φ ˆ h t Fgure 16 Dpole orented wth a φ angle. Scatterng matrce of a dpole orented wth an angle φ n the three polarzaton ba: Lnear polarzaton ba (h,v) [ S ] 1 co φ n φ = 1 n n φ φ [ S] Lnear rotated polarzaton ba (a,b) coφ nφ co φ = 1 1 co φ coφnφ Co-polar and cro-polar gnature of a dpole orented wth an angle φ: Crcular polarzaton ba (l,r) [ S] jφ 1 e j = jφ j e P CO P X Fgure 17 Co-polar and Cro-polar gnature correpondng to a dpole orented wth a φ angle. 5

26 .5.3 Dhedral ˆ v t ˆ h t Fgure 18 Dhedral orented n the horzontal ax. Scatterng matrce of a dhedral orented n the horzontal ax n the three polarzaton ba: Lnear polarzaton ba (h,v) [ S] 1 0 = 0 1 Lnear rotated polarzaton ba (a,b) [ S] 0 1 = 1 0 Crcular polarzaton ba (l,r) [ S] 1 0 = 0 1 Scatterng matrce of a dhedral orented wth an angle φ n the three polarzaton ba: Lnear polarzaton ba (h,v) [ S] co φ n φ = n φ coφ Lnear rotated polarzaton ba (a,b) [ S] n φ coφ = co φ n φ Crcular polarzaton ba (l,r) [ S ] j φ e 0 = j φ 0 e Co-polar and cro-polar gnature of a dhedral orented n the horzontal ax: P CO P X Fgure 19 Co-polar and Cro-polar gnature correpondng to a dhedral orented n the horzontal ax. 6

27 .5.4 Rght Helx ˆ v t ˆ h t Fgure 0 Rght helx. Scatterng matrce of a rght helx orented wth an angle φ n the three polarzaton ba: Lnear polarzaton ba (h,v) j = j 1 1 j φ 1 [ S] e Lnear rotated polarzaton ba (a,b) 1 j φ j 1 [ S] e = 1 j Co-polar and cro-polar gnature of a rght helx orented at 0 degree: Crcular polarzaton ba (l,r) 0 0 = φ 0 e [ S] j P CO P X Fgure 1 Co-polar and Cro-polar gnature correpondng to a rght helx. 7

28 .5.5 Left Helx ˆ v t ˆ h t Fgure Co-polar and Cro-polar gnature correpondng to a left helx. Scatterng matrce of a left helx orented wth an angle φ n the three polarzaton ba: Lnear polarzaton ba (h,v) j = j 1 1 j φ 1 [ S] e Lnear rotated polarzaton ba (a,b) 1 j φ j 1 [ S] e = 1 j Co-polar and cro-polar gnature of a left helx orented at 0 degree: Crcular polarzaton ba (l,r) [ S ] j φ e 0 = 0 0 P CO P X Fgure 3 Co-polar and Cro-polar gnature correpondng to a left helx. 8

Scattering of two identical particles in the center-of. of-mass frame. (b)

Scattering of two identical particles in the center-of. of-mass frame. (b) Lecture # November 5 Scatterng of two dentcal partcle Relatvtc Quantum Mechanc: The Klen-Gordon equaton Interpretaton of the Klen-Gordon equaton The Drac equaton Drac repreentaton for the matrce α and

More information

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne

More information

Electromagnetic scattering. Graduate Course Electrical Engineering (Communications) 1 st Semester, Sharif University of Technology

Electromagnetic scattering. Graduate Course Electrical Engineering (Communications) 1 st Semester, Sharif University of Technology Electromagnetc catterng Graduate Coure Electrcal Engneerng (Communcaton) 1 t Semeter, 1390-1391 Sharf Unverty of Technology Content of lecture Lecture : Bac catterng parameter Formulaton of the problem

More information

Additional File 1 - Detailed explanation of the expression level CPD

Additional File 1 - Detailed explanation of the expression level CPD Addtonal Fle - Detaled explanaton of the expreon level CPD A mentoned n the man text, the man CPD for the uterng model cont of two ndvdual factor: P( level gen P( level gen P ( level gen 2 (.).. CPD factor

More information

Method Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems

Method Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems Internatonal Workhop on MehFree Method 003 1 Method Of Fundamental Soluton For Modelng lectromagnetc Wave Scatterng Problem Der-Lang Young (1) and Jhh-We Ruan (1) Abtract: In th paper we attempt to contruct

More information

Harmonic oscillator approximation

Harmonic oscillator approximation armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon

More information

Specification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction

Specification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction ECONOMICS 35* -- NOTE ECON 35* -- NOTE Specfcaton -- Aumpton of the Smple Clacal Lnear Regreon Model (CLRM). Introducton CLRM tand for the Clacal Lnear Regreon Model. The CLRM alo known a the tandard lnear

More information

Small signal analysis

Small signal analysis Small gnal analy. ntroducton Let u conder the crcut hown n Fg., where the nonlnear retor decrbed by the equaton g v havng graphcal repreentaton hown n Fg.. ( G (t G v(t v Fg. Fg. a D current ource wherea

More information

Scattering cross section (scattering width)

Scattering cross section (scattering width) Scatterng cro ecton (catterng wdth) We aw n the begnnng how a catterng cro ecton defned for a fnte catterer n ter of the cattered power An nfnte cylnder, however, not a fnte object The feld radated by

More information

Introduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015

Introduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015 Introducton to Interfacal Segregaton Xaozhe Zhang 10/02/2015 Interfacal egregaton Segregaton n materal refer to the enrchment of a materal conttuent at a free urface or an nternal nterface of a materal.

More information

Chapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters

Chapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters Chapter 6 The Effect of the GPS Sytematc Error on Deformaton Parameter 6.. General Beutler et al., (988) dd the frt comprehenve tudy on the GPS ytematc error. Baed on a geometrc approach and aumng a unform

More information

Root Locus Techniques

Root Locus Techniques Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,

More information

MULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors

MULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors MULTIPLE REGRESSION ANALYSIS For the Cae of Two Regreor In the followng note, leat-quare etmaton developed for multple regreon problem wth two eplanator varable, here called regreor (uch a n the Fat Food

More information

Analytical Solution for a Polarimetric Surface Scattering Model

Analytical Solution for a Polarimetric Surface Scattering Model Analytcal Soluton for a Polarmetrc Surface Scatterng Model Axel Breuer (1,), Irena Hajnek () (1) Alcatel Space Indutry, 6 avenue Jean-Franço Champollon, 1000 Touloue, France, Emal : axel.breuer@pace.alcatel.fr

More information

Improvements on Waring s Problem

Improvements on Waring s Problem Improvement on Warng Problem L An-Png Bejng, PR Chna apl@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th paper, we wll gve ome mprovement for Warng problem Keyword: Warng Problem,

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

BASICS OF SAR POLARIMETRY I. Basics of Radar Polarimetry

BASICS OF SAR POLARIMETRY I. Basics of Radar Polarimetry BAIC OF A OLAIMY I Wolfgang-Martn Boerner UIC-C Communcaton, enng & Navgaton Laboratory 9 W. aylor t., L (67) W-4, M/C 54, CHICAGO IL/UA-667-78 mal: boerner@ece.uc.edu Bac of adar olarmetry Abtract A comprehenve

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

The multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted

The multivariate Gaussian probability density function for random vector X (X 1,,X ) T. diagonal term of, denoted Appendx Proof of heorem he multvarate Gauan probablty denty functon for random vector X (X,,X ) px exp / / x x mean and varance equal to the th dagonal term of, denoted he margnal dtrbuton of X Gauan wth

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Pythagorean triples. Leen Noordzij.

Pythagorean triples. Leen Noordzij. Pythagorean trple. Leen Noordz Dr.l.noordz@leennoordz.nl www.leennoordz.me Content A Roadmap for generatng Pythagorean Trple.... Pythagorean Trple.... 3 Dcuon Concluon.... 5 A Roadmap for generatng Pythagorean

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Homework Notes Week 7

Homework Notes Week 7 Homework Notes Week 7 Math 4 Sprng 4 #4 (a Complete the proof n example 5 that s an nner product (the Frobenus nner product on M n n (F In the example propertes (a and (d have already been verfed so we

More information

APPROXIMATE FUZZY REASONING BASED ON INTERPOLATION IN THE VAGUE ENVIRONMENT OF THE FUZZY RULEBASE AS A PRACTICAL ALTERNATIVE OF THE CLASSICAL CRI

APPROXIMATE FUZZY REASONING BASED ON INTERPOLATION IN THE VAGUE ENVIRONMENT OF THE FUZZY RULEBASE AS A PRACTICAL ALTERNATIVE OF THE CLASSICAL CRI Kovác, Sz., Kóczy, L.T.: Approxmate Fuzzy Reaonng Baed on Interpolaton n the Vague Envronment of the Fuzzy Rulebae a a Practcal Alternatve of the Clacal CRI, Proceedng of the 7 th Internatonal Fuzzy Sytem

More information

Team. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference

Team. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference Team Stattc and Art: Samplng, Repone Error, Mxed Model, Mng Data, and nference Ed Stanek Unverty of Maachuett- Amhert, USA 9/5/8 9/5/8 Outlne. Example: Doe-repone Model n Toxcology. ow to Predct Realzed

More information

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction

Statistical Properties of the OLS Coefficient Estimators. 1. Introduction ECOOMICS 35* -- OTE 4 ECO 35* -- OTE 4 Stattcal Properte of the OLS Coeffcent Etmator Introducton We derved n ote the OLS (Ordnary Leat Square etmator ˆβ j (j, of the regreon coeffcent βj (j, n the mple

More information

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q For orthogonal curvlnear coordnates, eˆ grad a a= ( aˆ ˆ e). h q (98) Expandng the dervatve, we have, eˆ aˆ ˆ e a= ˆ ˆ a h e + q q 1 aˆ ˆ ˆ a e = ee ˆˆ ˆ + e. h q h q Now expandng eˆ / q (some of the detals

More information

8 Waves in Uniform Magnetized Media

8 Waves in Uniform Magnetized Media 8 Wave n Unform Magnetzed Meda 81 Suceptblte The frt order current can be wrtten j = j = q d 3 p v f 1 ( r, p, t) = ɛ 0 χ E For Maxwellan dtrbuton Y n (λ) = f 0 (v, v ) = 1 πvth exp (v V ) v th 1 πv th

More information

2.3 Least-Square regressions

2.3 Least-Square regressions .3 Leat-Square regreon Eample.10 How do chldren grow? The pattern of growth vare from chld to chld, o we can bet undertandng the general pattern b followng the average heght of a number of chldren. Here

More information

Recursive Construction of the Bosonic Bogoliubov Vacuum State

Recursive Construction of the Bosonic Bogoliubov Vacuum State Quant. Phy. Lett. 2, No. 1, 11-15 2013 11 Quantum Phyc Letter An Internatonal Journal http://dx.do.org/10.12785/qpl/020102 Recurve Contructon of the Boonc Bogolubov Vacuum State Drceu Porte Jr 1, Marco

More information

Verification of Selected Precision Parameters of the Trimble S8 DR Plus Robotic Total Station

Verification of Selected Precision Parameters of the Trimble S8 DR Plus Robotic Total Station 81 Verfcaton of Selected Precon Parameter of the Trmble S8 DR Plu Robotc Total Staton Sokol, Š., Bajtala, M. and Ježko, J. Slovak Unverty of Technology, Faculty of Cvl Engneerng, Radlnkého 11, 81368 Bratlava,

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

A NUMERICAL MODELING OF MAGNETIC FIELD PERTURBATED BY THE PRESENCE OF SCHIP S HULL

A NUMERICAL MODELING OF MAGNETIC FIELD PERTURBATED BY THE PRESENCE OF SCHIP S HULL A NUMERCAL MODELNG OF MAGNETC FELD PERTURBATED BY THE PRESENCE OF SCHP S HULL M. Dennah* Z. Abd** * Laboratory Electromagnetc Sytem EMP BP b Ben-Aknoun 606 Alger Algera ** Electronc nttute USTHB Alger

More information

On using Greenberger-Horne-Zeilinger three-particle states for superluminal communication

On using Greenberger-Horne-Zeilinger three-particle states for superluminal communication On ung Greenberger-Horne-Zelnger three-partcle tate for uperlumnal communcaton Raymond W. Jenen Abtract. Ung a three-partcle entangled ytem (trple), t poble n prncple to tranmt gnal fater than the peed

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Phys 402: Raman Scattering. Spring Introduction: Brillouin and Raman spectroscopy. Raman scattering: how does it look like?

Phys 402: Raman Scattering. Spring Introduction: Brillouin and Raman spectroscopy. Raman scattering: how does it look like? Phy 402: Raman Scatterng Sprng 2008 1 Introducton: Brlloun and Raman pectrocopy Inelatc lght catterng medated by the electronc polarzablty of the medum a materal or a molecule catter rradant lght from

More information

Physics 111. CQ1: springs. con t. Aristocrat at a fixed angle. Wednesday, 8-9 pm in NSC 118/119 Sunday, 6:30-8 pm in CCLIR 468.

Physics 111. CQ1: springs. con t. Aristocrat at a fixed angle. Wednesday, 8-9 pm in NSC 118/119 Sunday, 6:30-8 pm in CCLIR 468. c Announcement day, ober 8, 004 Ch 8: Ch 10: Work done by orce at an angle Power Rotatonal Knematc angular dplacement angular velocty angular acceleraton Wedneday, 8-9 pm n NSC 118/119 Sunday, 6:30-8 pm

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

The influence of Stern layer conductance on the. dielectrophoretic behaviour of latex nanospheres

The influence of Stern layer conductance on the. dielectrophoretic behaviour of latex nanospheres The nfluence of Stern layer conductance on the delectrophoretc behavour of latex nanophere Mchael Pycraft Hughe* Bomedcal Engneerng Group, Unverty of Surrey, Guldford, GU2 7XH, UK Ncola Gavn Green Boelectronc

More information

Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm

Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm Start Pont and Trajectory Analy for the Mnmal Tme Sytem Degn Algorthm ALEXANDER ZEMLIAK, PEDRO MIRANDA Department of Phyc and Mathematc Puebla Autonomou Unverty Av San Claudo /n, Puebla, 757 MEXICO Abtract:

More information

Spin-rotation coupling of the angularly accelerated rigid body

Spin-rotation coupling of the angularly accelerated rigid body Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s

More information

Physics 120. Exam #1. April 15, 2011

Physics 120. Exam #1. April 15, 2011 Phyc 120 Exam #1 Aprl 15, 2011 Name Multple Choce /16 Problem #1 /28 Problem #2 /28 Problem #3 /28 Total /100 PartI:Multple Choce:Crclethebetanwertoeachqueton.Anyothermark wllnotbegvencredt.eachmultple

More information

and decompose in cycles of length two

and decompose in cycles of length two Permutaton of Proceedng of the Natona Conference On Undergraduate Reearch (NCUR) 006 Domncan Unverty of Caforna San Rafae, Caforna Apr - 4, 007 that are gven by bnoma and decompoe n cyce of ength two Yeena

More information

New approach to Fully Nonlinear Adiabatic TWM Theory

New approach to Fully Nonlinear Adiabatic TWM Theory New approach to Fully Nonlnear Adabatc TWM Theory Shunrong Qan m preentng a new elegant formulaton of the theory of fully nonlnear abatc TWM (FNA-TWM) n term of ellptc functon here. Note that the lnear

More information

Computer Control Systems

Computer Control Systems Computer Control ytem In th chapter we preent the element and the bac concept of computercontrolled ytem. The dcretaton and choce of amplng frequency wll be frt examned, followed by a tudy of dcrete-tme

More information

Extended Prigogine Theorem: Method for Universal Characterization of Complex System Evolution

Extended Prigogine Theorem: Method for Universal Characterization of Complex System Evolution Extended Prgogne Theorem: Method for Unveral Characterzaton of Complex Sytem Evoluton Sergey amenhchkov* Mocow State Unverty of M.V. Lomonoov, Phycal department, Rua, Mocow, Lennke Gory, 1/, 119991 Publhed

More information

Predictors Using Partially Conditional 2 Stage Response Error Ed Stanek

Predictors Using Partially Conditional 2 Stage Response Error Ed Stanek Predctor ng Partally Condtonal Stage Repone Error Ed Stane TRODCTO We explore the predctor that wll relt n a mple random ample wth repone error when a dfferent model potlated The model we decrbe here cloely

More information

Variable Structure Control ~ Basics

Variable Structure Control ~ Basics Varable Structure Control ~ Bac Harry G. Kwatny Department of Mechancal Engneerng & Mechanc Drexel Unverty Outlne A prelmnary example VS ytem, ldng mode, reachng Bac of dcontnuou ytem Example: underea

More information

Solution 1 for USTC class Physics of Quantum Information

Solution 1 for USTC class Physics of Quantum Information Soluton 1 for 018 019 USTC class Physcs of Quantum Informaton Shua Zhao, Xn-Yu Xu and Ka Chen Natonal Laboratory for Physcal Scences at Mcroscale and Department of Modern Physcs, Unversty of Scence and

More information

From Biot-Savart Law to Divergence of B (1)

From Biot-Savart Law to Divergence of B (1) From Bot-Savart Law to Dvergence of B (1) Let s prove that Bot-Savart gves us B (r ) = 0 for an arbtrary current densty. Frst take the dvergence of both sdes of Bot-Savart. The dervatve s wth respect to

More information

Kinetic-Energy Density-Functional Theory on a Lattice

Kinetic-Energy Density-Functional Theory on a Lattice h an open acce artcle publhed under an ACS AuthorChoce Lcene, whch permt copyng and redtrbuton of the artcle or any adaptaton for non-commercal purpoe. Artcle Cte h: J. Chem. heory Comput. 08, 4, 407 4087

More information

Two Approaches to Proving. Goldbach s Conjecture

Two Approaches to Proving. Goldbach s Conjecture Two Approache to Provng Goldbach Conecture By Bernard Farley Adved By Charle Parry May 3 rd 5 A Bref Introducton to Goldbach Conecture In 74 Goldbach made h mot famou contrbuton n mathematc wth the conecture

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

Solution 1 for USTC class Physics of Quantum Information

Solution 1 for USTC class Physics of Quantum Information Soluton 1 for 017 018 USTC class Physcs of Quantum Informaton Shua Zhao, Xn-Yu Xu and Ka Chen Natonal Laboratory for Physcal Scences at Mcroscale and Department of Modern Physcs, Unversty of Scence and

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

Two-Layered Model of Blood Flow through Composite Stenosed Artery

Two-Layered Model of Blood Flow through Composite Stenosed Artery Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 4, Iue (December 9), pp. 343 354 (Prevouly, Vol. 4, No.) Applcaton Appled Mathematc: An Internatonal Journal (AAM) Two-ayered Model

More information

Th e op tic a l c r oss-s e c tion th e ore m w ith in c i d e n t e ld s

Th e op tic a l c r oss-s e c tion th e ore m w ith in c i d e n t e ld s journal of modern optc, 1999, vol. 46, no. 5, 891± 899 Th e op tc a l c r o- e c ton th e ore m th n c d e n t e ld c on ta n n g e v a n e c e n t c o m p on e n t P. SCOTT CARNEY Department of Phyc and

More information

1. The number of significant figures in the number is a. 4 b. 5 c. 6 d. 7

1. The number of significant figures in the number is a. 4 b. 5 c. 6 d. 7 Name: ID: Anwer Key There a heet o ueul ormulae and ome converon actor at the end. Crcle your anwer clearly. All problem are pont ecept a ew marked wth ther own core. Mamum core 100. There are a total

More information

No! Yes! Only if reactions occur! Yes! Ideal Gas, change in temperature or pressure. Survey Results. Class 15. Is the following possible?

No! Yes! Only if reactions occur! Yes! Ideal Gas, change in temperature or pressure. Survey Results. Class 15. Is the following possible? Survey Reult Chapter 5-6 (where we are gong) % of Student 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Hour Spent on ChE 273 1-2 3-4 5-6 7-8 9-10 11+ Hour/Week 2008 2009 2010 2011 2012 2013 2014 2015 2017 F17

More information

CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS

CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS 103 Phy 1 9.1 Lnear Momentum The prncple o energy conervaton can be ued to olve problem that are harder to olve jut ung Newton law. It ued to decrbe moton

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

σ τ τ τ σ τ τ τ σ Review Chapter Four States of Stress Part Three Review Review

σ τ τ τ σ τ τ τ σ Review Chapter Four States of Stress Part Three Review Review Chapter Four States of Stress Part Three When makng your choce n lfe, do not neglect to lve. Samuel Johnson Revew When we use matrx notaton to show the stresses on an element The rows represent the axs

More information

Modeling of Wave Behavior of Substrate Noise Coupling for Mixed-Signal IC Design

Modeling of Wave Behavior of Substrate Noise Coupling for Mixed-Signal IC Design Modelng of Wave Behavor of Subtrate Noe Couplng for Mxed-Sgnal IC Degn Georgo Veron, Y-Chang Lu, and Robert W. Dutton Center for Integrated Sytem, Stanford Unverty, Stanford, CA 9435 yorgo@gloworm.tanford.edu

More information

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1. 7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

More information

Advanced Quantum Mechanics

Advanced Quantum Mechanics Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

Not at Steady State! Yes! Only if reactions occur! Yes! Ideal Gas, change in temperature or pressure. Yes! Class 15. Is the following possible?

Not at Steady State! Yes! Only if reactions occur! Yes! Ideal Gas, change in temperature or pressure. Yes! Class 15. Is the following possible? Chapter 5-6 (where we are gong) Ideal gae and lqud (today) Dente Partal preure Non-deal gae (next tme) Eqn. of tate Reduced preure and temperature Compreblty chart (z) Vapor-lqud ytem (Ch. 6) Vapor preure

More information

Betatron Motion with Coupling of Horizontal and Vertical Degrees of Freedom Part II

Betatron Motion with Coupling of Horizontal and Vertical Degrees of Freedom Part II Betatron Moton wth Couplng of Horzontal and Vertcal Degree of Freedom Part II Alex Bogacz, Geoff Krafft and Tmofey Zolkn Lecture 9 Coupled Betatron Moton II USPAS, Fort Colln, CO, June -, 3 Outlne Practcal

More information

Improvements on Waring s Problem

Improvements on Waring s Problem Imrovement on Warng Problem L An-Png Bejng 85, PR Chna al@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th aer, we wll gve ome mrovement for Warng roblem Keyword: Warng Problem, Hardy-Lttlewood

More information

1 Derivation of Point-to-Plane Minimization

1 Derivation of Point-to-Plane Minimization 1 Dervaton of Pont-to-Plane Mnmzaton Consder the Chen-Medon (pont-to-plane) framework for ICP. Assume we have a collecton of ponts (p, q ) wth normals n. We want to determne the optmal rotaton and translaton

More information

November 5, 2002 SE 180: Earthquake Engineering SE 180. Final Project

November 5, 2002 SE 180: Earthquake Engineering SE 180. Final Project SE 8 Fnal Project Story Shear Frame u m Gven: u m L L m L L EI ω ω Solve for m Story Bendng Beam u u m L m L Gven: m L L EI ω ω Solve for m 3 3 Story Shear Frame u 3 m 3 Gven: L 3 m m L L L 3 EI ω ω ω

More information

( ) + + REFLECTION FROM A METALLIC SURFACE

( ) + + REFLECTION FROM A METALLIC SURFACE REFLECTION FROM A METALLIC SURFACE For a metallc medum the delectrc functon and the ndex of refracton are complex valued functons. Ths s also the case for semconductors and nsulators n certan frequency

More information

Estimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information

Estimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information Internatonal Journal of Stattc and Analy. ISSN 2248-9959 Volume 6, Number 1 (2016), pp. 9-16 Reearch Inda Publcaton http://www.rpublcaton.com Etmaton of Fnte Populaton Total under PPS Samplng n Preence

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

728. Mechanical and electrical elements in reduction of vibrations

728. Mechanical and electrical elements in reduction of vibrations 78. Mechancal and electrcal element n reducton of vbraton Katarzyna BIAŁAS The Slean Unverty of Technology, Faculty of Mechancal Engneerng Inttute of Engneerng Procee Automaton and Integrated Manufacturng

More information

Programming Project 1: Molecular Geometry and Rotational Constants

Programming Project 1: Molecular Geometry and Rotational Constants Programmng Project 1: Molecular Geometry and Rotatonal Constants Center for Computatonal Chemstry Unversty of Georga Athens, Georga 30602 Summer 2012 1 Introducton Ths programmng project s desgned to provde

More information

Boundaries, Near-field Optics

Boundaries, Near-field Optics Boundares, Near-feld Optcs Fve boundary condtons at an nterface Fresnel Equatons : Transmsson and Reflecton Coeffcents Transmttance and Reflectance Brewster s condton a consequence of Impedance matchng

More information

Title: Radiative transitions and spectral broadening

Title: Radiative transitions and spectral broadening Lecture 6 Ttle: Radatve transtons and spectral broadenng Objectves The spectral lnes emtted by atomc vapors at moderate temperature and pressure show the wavelength spread around the central frequency.

More information

Solutions to exam in SF1811 Optimization, Jan 14, 2015

Solutions to exam in SF1811 Optimization, Jan 14, 2015 Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Chapter 8 Indicator Variables

Chapter 8 Indicator Variables Chapter 8 Indcator Varables In general, e explanatory varables n any regresson analyss are assumed to be quanttatve n nature. For example, e varables lke temperature, dstance, age etc. are quanttatve n

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Section 8.3 Polar Form of Complex Numbers

Section 8.3 Polar Form of Complex Numbers 80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

ECE 107: Electromagnetism

ECE 107: Electromagnetism ECE 107: Electromagnetsm Set 8: Plane waves Instructor: Prof. Vtaly Lomakn Department of Electrcal and Computer Engneerng Unversty of Calforna, San Dego, CA 92093 1 Wave equaton Source-free lossless Maxwell

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Matrix Mechanics Exercises Using Polarized Light

Matrix Mechanics Exercises Using Polarized Light Matrx Mechancs Exercses Usng Polarzed Lght Frank Roux Egenstates and operators are provded for a seres of matrx mechancs exercses nvolvng polarzed lght. Egenstate for a -polarzed lght: Θ( θ) ( ) smplfy

More information

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quantum Mechancs for Scentsts and Engneers Davd Mller Types of lnear operators Types of lnear operators Blnear expanson of operators Blnear expanson of lnear operators We know that we can expand functons

More information

Joint Source Coding and Higher-Dimension Modulation

Joint Source Coding and Higher-Dimension Modulation Jont Codng and Hgher-Dmenon Modulaton Tze C. Wong and Huck M. Kwon Electrcal Engneerng and Computer Scence Wchta State Unvert, Wchta, Kana 676, USA {tcwong; huck.kwon}@wchta.edu Abtract Th paper propoe

More information

AIR FORCE INSTITUTE OF TECHNOLOGY

AIR FORCE INSTITUTE OF TECHNOLOGY THE CATTERING OF PARTIALLY COHERENT ELECTROMAGNETIC BEAM ILLUMINATION FROM TATITICALLY ROUGH URFACE DIERTATION Mark F. pencer AFIT-ENG-D-4-J-7 DEPARTMENT OF THE AIR FORCE AIR UNIVERITY AIR FORCE INTITUTE

More information

Chapter 7 Four-Wave Mixing phenomena

Chapter 7 Four-Wave Mixing phenomena Chapter 7 Four-Wave Mx phenomena We wll dcu n th chapter the general nonlnear optcal procee wth four nteract electromagnetc wave n a NLO medum. Frt note that FWM procee are allowed n all meda (nveron or

More information

10. Canonical Transformations Michael Fowler

10. Canonical Transformations Michael Fowler 10. Canoncal Transformatons Mchael Fowler Pont Transformatons It s clear that Lagrange s equatons are correct for any reasonable choce of parameters labelng the system confguraton. Let s call our frst

More information