Properties of the magnetotelluric frequency-normalised impedance over a layered medium

Size: px
Start display at page:

Download "Properties of the magnetotelluric frequency-normalised impedance over a layered medium"

Transcription

1 JOURNAL OF THE BALKAN GEOPHSICAL SOCIET, Vol., No 3, August 999, p , 7 fgs. Popetes of the agnetotelluc fequency-noalsed pedance ove a layeed edu Ahet T. Basoku Ankaa Unvestes, Fen Fakultes, Jeofzk Muh. B., Togan, 0600 Ankaa, Tukey. E-al: basoku@scence.ankaa.edu.t ( Receved Januay 999; accepted 9 Apl 999 ) Abstact: The fequency-noalsed pedance (FNI) functon s ntoduced to gve a physcal sgnfcance to the agnetotelluc data. The FNI functon s sepaated nto ts eal agnay pats that have the sae denonato to estate the values n the hgh- low-fequency lts. The behavou of the appaent esstvty defntons the phase s explaned theoetcally by consdeng the eal the agnay pats of the FNI functon. The oscllatons on the appaent esstvty cuves ae explaned by usng ascendng descendng types two-laye cuves of the FNI functon. The concept of the ecpocal geoelectc secton s developed by usng the popetes of the FNI functon. It has been shown that the appaent esstvty cuves of a geoelectc secton those of coespondng to the ecpocal geoelectc secton ae syetc. The axs of syety s the hozontal axs that ntesects the vetcal axs at unty. The FNI functon asssts the ntepete by gvng a clea dea about the nube of layes, the esstvty ato between consecutve layes t seves a good appoxaton of the tue esstvty values of the subsuface layes. Key Wods: Fequency-noalzed Ipedance, Magnetotellucs, Appaent Resstvty Defntons. INTRODUCTION The agnetotelluc (MT) soundng s caed out by easung the hozontal electc feld the othogonal hozontal agnetc feld vesus te. Howeve, the Foue tansfoatons of the easued feld quanttes ae estated the MT data ae ntepeted n the fequency doan. A ato of the electc feld to the agnetc feld yelds the pedance n a specfed fequency ange. The pedance s not dectly popotonal to the tue esstvty dstbuton of the subsuface. The pedance can be noalsed vesus fequency to obtan a bette epesentaton of the MT esponse (Basoku, 994a). Ths data noalsaton vesus fequency connects the feld ato to the subsuface stuctual patten. In ths pape, the ets of the suggested type of data pesentaton the use the FNI functon fo the ntepetaton of the MT data wll be dscussed. Fo splcty, the dscusson wll be lted to -D stuaton to exane the behavou of the FNI functon, but sla analyss can be extended to any type of eath stuctue. THEOR The pedance n MT ethod s gven as: Z = E / H () whee E H denote the electc the othogonal agnetc felds, espectvely. The pedance can be noalsed vesus fequency as follows: E x = Z / ωµ = = () ωµ H y whee ω s the angula fequency, µ s the agnetc 999 Balkan Geophyscal Socety (access bgs.ankaa.edu.t) 63

2 64 Fequency-noalsed Ipedance peeablty of fee space, s known as the fequency-noalsed pedance functon (Basoku 994a). The notaton fo the FNI functon s abtay selected. The FNI functon should not be confused wth the adttance that s also denoted by the sybol (). The eal agnay pats of the FNI functon can be gven n tes of the eal agnay pats of the pedance (Szaka, 994): The ecuence expesson (7) can also be wtten n the followng equvalent fos (Basoku et al., 997a): o + / P + tanh ( ut / P ) = P (0) + ( / P ) tanh( ut / P ) + = (Z + Z ) / ωµ (3) snce + + P tanh ( ut / P ) = + ( / P ) tanh( ut / P ) + () = (Z Z ) / ωµ. (4) Fo the hozontally statfed eath odel, consstng of n hoogeneous sotopc layes of esstvtes,,..., n thcknesses t, t,..., t n, can be deved by followng the conventonal way descbed n textbooks (e.g. Kaufan Kelle, 98): { = P tanh u t / P + acth ( P / P. tanh ( u t / P acth [ Pn / Pn ]))...} (5) wth u = ωµ = ( + ) µπf (6) P =. The above expesson can be wtten as a ecuence foula [ ut / P + acth ( / P )] = P tanh (7) + wth = n-,...,, fo substatu n = P n. (8) Statng fo the substatu, the new functon can be found by addng a new laye at the top of the laye sequence. The ecuent applcaton of (7) gves the fnal functon: =. (9) tanh(a) + tanh(b) tanh(a + b) =. () + tanh(a) tanh(b) APPARENT RESISTIVIT AND PHASE DEFINITIONS The easued feld quanttes ae usually conveted to the appaent esstvty values n ode to gve physcal sgnfcance to the data. The appaent esstvty defned by Cagnad(953) has tadtonally been used fo the pesentaton of MT data. Ths defnton can be gven n tes of the eal agnay pats of the FNI functon as follows: ac = Z = + (3) µω whee ae the eal the agnay pats of the FNI functon, espectvely. Soe defntons poduce bette esults than the Cagnad s(953) defnton to each tue esstvtes of the subsuface layes (Spes Egges, 986). At pesent, the defnton defned by Basoku(994a) sees to be one of the ost successful, gvng appaent esstvty values close to the tue esstvtes of the layes suppessng the oscllatons of the MT cuve whch ae not elated to the featues pesented n the secton. The appaent esstvty defnton, whch can be appled to the descendng banches of the eal pat of the FNI, s gven as ( - ) (4) = the appaent esstvty defnton fo the ascendng banches of the eal pat s. (5) = ( + ) / ( + ) Snce the sgn of the agnay pat dstngushes between the descendng ascendng banches, the

3 Ahet T. Basoku 65 above defntons can be cobned nto a sngle equaton (Basoku, 994a): [( - sgn ( ). ) / ( + ) ] =. (6) The above defnton has been deved theoetcally by akng use of the popetes of the FNI functon. The econclaton of ths defnton wth the pevously publshed defntons has been shown by Szaka(994). He ewtes equatons (4) (5) n tes of the pedance as follows: = Z fo φz π / 4 (7) ωµ Z = fo φz π / 4. (8) ωµ Z whee φ Z s the agnetotelluc phase t s defned as φ actan( Z / Z ) (9) Z = whee Z Z epesent the eal agnay pats, espectvely, of the pedance. Afte the Szaka s(994) devaton, a lttle algeba leads to new equatons fo (4) (5) n tes of the phase of pedance = cos ( φ ) fo φ π / 4 (0) ac Z Z = ( sn ( φ ) ) fo φ π / 4. () ac / Z Z The above pa of equatons s equal to the defntons developed by Schucke(970). Now, t becoes clea that the equatons (4), (0) the defnton of Spes Egges(986) ae exactly equvalent. The defnton (5) s equvalent to the Schucke s(970) tansfoaton gven by (). Howeve, the copason of the appaent esstvty defntons theoetcal explanaton of the behavou can easly be done by exanng the FNI functon. The elaton between the phases of the FNI the pedance can be found fo () as φ = φ π / 4 () snce Z phase { / } = π / 4 ωµ (3) As t s clea fo (9 (), the shape of the phase cuve s anly contolled by the agnay pat of the FNI functon. Thus, the behavou of the MT phase can also be explaned usng the popetes of the FNI functon, naely by usng the ato of the agnay eal pats of the FNI functon. BEHAVIOR OF THE FNI FUNCTION As a fst step, t s convenent to nvestgate the two-laye case to explan the behavou of the eal agnay pats of the functon. Fo equaton (7), the FNI functon can be wtten as: ( ( + ) µπf (t/p ) acth(p / P )) = P tanh +. (4) If we denote a = t / P. µπf (5) b = acth( P / P ) = 0.5 ln( k ) (6) wth k = ( P + P) / ( P P ), (7) we obtan = P tanh( ( a + b) + a). (8) Knowng that snh( x ) + sn( y ) tanh(x + y) =, (9) cosh( x ) + cos( y ) we can sepaate the functon nto ts eal agnay pats that have the sae denonato as follows: [ snh( a + b ) / v sn( a ) / v] = P + (30) whee v = cosh( a + b ) + cos ( a ), (3) x = a + b, y = a. By ultplyng dvdng the ght-h sde of (30) by cosh( a + b ), we can edefne the eal agnay pats of the FNI functon as follows:

4 66 Fequency-noalsed Ipedance = P R( f ) / D( f ) (3) = P I( f ) / D( f ) (33) whee R(f) = tanh( a + b ), (34) I(f) = sn( a ) / cosh( a + b ) (35) D(f) = + cos( a )/ cosh( a + b ). (36) Fo (5) (6), we can pove that snh( a + b ) = ( c - /c ) /, (37) cosh( a + b ) = ( c + /c ) / (38) tanh( a + b ) = ( c - /c ) / ( c + /c ) (39) wth c = k exp ( a ). (40) 30 (a) FNI functon Re 0 5 I (b) Fequency (hetz) Appaent esstvty ( Ω ) C 00 F FIG.. (a) The eal (Re) the agnay (I) pats of the FNI functon vesus deceasng fequency fo the odel: = 500 oh-, = 0 oh-, t = 350. (b) a copason between Cagnad's appaent esstvty (C) the appaent esstvty defnton (F).

5 Coponents of the FNI functon Ahet T. Basoku 67.5 D(f) R(f) I(f) Fequency (hetz) FIG.. Plots of the eal R(f) the agnay I(f) pats of the FNI functon vesus deceasng fequency. D(f) s the denonato of the FNI functon. The odel s the sae wth Fgue, but the saple values ae noalsed by the esstvty of the fst laye. These expessons lead to the analyss of the behavou of the FNI functon fo descendng ascendng types two-laye cuves. Descendng Type Two-laye Cuves Fgue a shows the eal agnay pats of the FNI functon coputed fo the case whee the laye esstvtes ae oh-etes the thckness of the top laye s 350. The behavous of the eal agnay pats can be analysed by the help of the pevously defned R(f), I(f) D(f) functons. R(f) s equal to unty n the hgh fequency lt snce tanh ( )=. The te cos(a) n D(f) has postve nuecal values except a few saple values at hgh fequences whee t becoes negatve consequently causes an oscllatons n D(f) wth salle values than unty (Fg. ). appoaches the squae oot of the esstvty of the fst laye snce both R(f) D(f) appoach unty n the hgh fequency lt. Accodng to (7), k s postve R(f) onotonously deceases wth loweng fequency (Fg. ). To fnd the nuecal value of R(f) n the low fequency lt, we put f=0 nto (40). By the help of (37) (38) one fnds: R (f ) = P P / ( P P ). (4) + In contast to the behavo of R(f), the saple values of D(f) tend to ncease wth deceasng fequency snce cosh(a + b) has postve nuecal values t deceases wth deceasng fequency (expesson 36). If we put f=0 nto (36) then we can fnd the followng asyptotc value of D(f) by the help of (38) (40) fo the low fequency lt: D( f ) = P / ( P P ). (4) + Substtutng (4) (4) nto (3), we fnd that the eal pat of the FNI functon equals to the squae oot of the esstvty of the second laye n the low fequency lt. The eal pat of the FNI functon conssts of the dvson of a deceasng functon (R(f)) by an nceasng functon (D(f)). As a esult of ths dvson, apdly deceases n copason wth R(f). The oscllaton on the D(f) s tansfeed to n evese decton has nuecal values geate than the squae oot of the esstvty of the fst laye at the abscssa ange close to hgh fequency lt (Fg. a Fg. ). The agnay pat of the FNI functon becoes zeo at hgh low fequency lts (Fg. a). Because, the te cosh(a + b) n I(f) has exteely hgh nuecal values fo hgh fequences consequently I(f) becoes zeo. In the low fequency lt, the te sn(a) n I(f) appoaches zeo (Fg. ). At nteedate fequences, the dvson sn(a) / cosh(a + b) s postve except the fequency ange nea hgh fequency lt whee sn(a) becoes negatve. As entoned befoe, D(f) also shows oscllatoy behavou n ths fequency ange. Snce

6 68 Fequency-noalsed Ipedance I(f) has elatvely sall nuecal values n ths fequency ange, the oscllaton of the agnay pat of the FNI functon s uch salle than that of the eal pat. Afte ths oscllaton nea the hgh fequency lt, nceases wth deceasng fequency, passng though a axu value t stats to decease contnuously appoaches zeo at low fequency lt. It s nteestng to note that R(f) I(f) ae paallel to each othe fo elatvely low fequency values (Fg. ). Ths suggests that the dffeence between R(f) I(f) s constant fo sall values of fequency. The followng appoxaton s vald fo (6) because P P fo ths case: b = acth ( P. (43) / P ) P / P We can also ake the followng appoxatons fo sall values of fequency: R(f) = tanh( a + b ) a + b (44) D(f) = + cos( a ) / cosh( a + b) (45) snce cos( a ) (46) cosh( a + b ) (47) I(f) = sn( a ) / cosh( a + b ) a. (48) If we subtact (48) fo (44), we obtan R(f) - I(f) b P / P. (49) Ths esult explans why R(f) I(f) ean paallel fo the elatvely sall values of fequency ( Fg. ). Consequently, the sae paallels s also obseved n the eal agnay pats of the FNI functon as can be seen on Fg. a. Fo (3) (33) one fnds that P ( R ( f ) I ( f ) ) / D( f ). (50) If (45) (49) ae substtuted nto (50), then the dffeences of the eal agnay pats of the FNI functon becoes alost equal to the squae oot of the esstvty of the botto laye: P. (5) Ths esult explans the eason why the defnton (4) s successful n eachng the tue esstvty of the second laye at elatvely hgh fequences. Because of the stuctue of the defnton (3), the Cagnad s(953) defnton could only each the tue esstvty of the substatu n low fequency lt whee the agnay eal pats of the FNI becoe equal to zeo the squae oot of the esstvty of the fst laye. Snce we have noally oe than two layes, the contbuton of deepe layes stats at nteedate fequences thus the Cagnad s(953) defnton neve eaches the ntnsc esstvty of a laye. But, the defnton (4) can attan the tue esstvty of a laye befoe the contbuton of the botto laye stats. Fgue b copaes the behavous of the appaent esstvty defntons. Ascendng Type Two-laye Cuves Fgue 3a shows the eal agnay pats of the FNI functon coputed fo the case whee the laye esstvtes ae 0 00 oh-etes the thckness of the top laye s 00. Snce the esstvty of the second laye s geate than that of the fst laye, k s negatve. R(f) s equal to unty fo hgh fequency values. The denonato D(f) s also equal to unty n the hgh fequency lt snce cosh( a + b ) equals to nfnty ( Fg. 4 ). And the eal pat of the FNI functon becoes equal to the squae oot of the esstvty of the fst laye (Fg. 3a). (37) (38) have always negatve nuecal values consequently R(f) becoes deceasng functon of loweng fequency. The te cosh(a + b) n the denonato D(f) has always negatve values ts absolute values decease wth loweng fequency. The te cos(a) geneally has postve values except fo the fequency values close to the hgh fequency lt. Then the dvson cos / cosh gves negatve values wth less than -. Then D(f) becoes a deceasng functon of loweng fequency. But, cos(a) causes an oscllaton on D(f) when t has negatve values nea hgh fequency lt whee D(f) becoes geate than unty fo a few saple values (Fg. 4). The eal pat of the FNI functon s obtaned by dvdng R(f) to D(f) whch both of the ae deceasng functons of loweng fequency. Howeve, D(f) deceases apdly than R(f) the fnal dvson gves an nceasng functon of deceasng fequency. The oscllaton of D(f) due to the te cos(a) also causes an oscllaton on the eal pat of the FNI functon n the evese decton whee the saple values of the FNI functon becoe less than P (Fg. 3a). Cagnad appaent esstvty also shows oscllatng behavou at the sae saple ponts as slghtly salle appaent esstvty values than the tue esstvty of the fst

7 Appaent esstvty ( Ω ) Ahet T. Basoku 69 0 (a) FNI functon Re I Fequency (hetz) 000 (b) 00 F C FIG. 3. (a) The eal (Re) the agnay (I) pats of the FNI functon vesus deceasng fequency fo the odel: = 0 oh-, = 00 oh-, t = 00. (b) a copason between Cagnad's appaent esstvty (C) the appaent esstvty defnton a F (F). laye because of the sae eason. As n the case of descendng type cuves, the eal pat of the FNI functon appoaches the squae oot of the esstvty of the substatu n the low fequency lt. Expessons (4) (4) ae also vald fo ths case. The nueato of the agnay pat of the FNI functon I(f) becoes zeo n hgh low fequency lts (Fg. 4). Because, cosh(a + b) has exteely hgh nuecal values fo hgh fequences consequently I(f) becoes zeo. In low fequency lt, I(f) s zeo snce sn(a) becoes zeo fo vey sall fequency values. At nteedate fequences, the dvson sn(a) / cosh(a + b) becoes negatve because sn(a) s postve except the fequency ange close to hgh fequency lt whee D(f) also shows oscllatoy behavou. Snce the agntude of D(f) s geate than I(f), the fnal dvson (35) esults that the absolute values of the agnay pat of the FNI functon s always less than that of the eal pat except pefectly nsulatng conductng substatu cases. And also the agntude of the oscllaton on the agnay pat s salle than that of eal pat. Due to the sae eason, the agntude of oscllaton of the phase becoes elatvely salle than that of the Cagnad appaent esstvty.

8 Coponents of the FNI functon 70 Fequency-noalsed Ipedance R(f) D(f) I(f) Fequency (hetz) FIG. 4. Plots of the eal R(f) the agnay I(f) pats of the FNI functon vesus deceasng fequency. D(f) s the denonato of the FNI functon. The agnay pat s ultpled by -. The odel s the sae wth Fgue 3, but the saple values ae noalsed by the esstvty of the fst laye. Fnally, we see that f the esstvty of the second laye s geate than that of the fst laye, the agnay pat of the FNI functon s zeo at hgh low fequency lts. At nteedate fequences, t s negatve t deceases wth loweng fequency, passng though a nu value then eaches zeo n low fequency lt except the elatvely sall oscllaton at hgh fequences. Sla to descendng type two-laye cuves, we can ty to estate the esstvty of substatu by usng the saple values of the eal the agnay pat of the FNI functon. Howeve, the appoxatons fo (43) to (5) ae not vald fo ths case snce P P. To detene the esstvty of the second laye, the concept of the ecpocal geoelectc secton can be used (Basoku, 994b). Ths secton s obtaned when = / (5) \ \ = / (53) t \ = t / (54) eplace the ognal paaetes. Takng nto account the followng popety tanh[ z + acth(w)] = / tanh[ z + acth(/w)] (55) n vew of (8), one fnds \ \ + = /( ). (56) + Multplyng dvdng the ght-h sde of the above equaton by the conjugate of the denonato, we can obtan the eal agnay pats of the FNI functon fo the ecpocal geoelectc secton as follows: \ = / ( ) (57) + \ = / ( ). (58) + Now, we can apply the appoxatons fo (43) to (5) to the ecpocal geoelectc secton. Accodng to (5), we wte P \ \ \. (59) We can tun back to ognal geoelectc secton by consdeng the ecpocal secton of the equaton (59). Substtutng (53), (57) (58) nto (59), one fnds P ( + ) / ( + ). (60) Ths equaton seves to estaton of the esstvty of the second laye by usng the saple values of the FNI functon at nteedate fequences. Howeve, n the hgh fequency lt, s zeo (60) becoes equal to the squae oot of the esstvty of the fst laye. Snce the appaent esstvty defnton (5) the equaton (60) equal to each othe, one can expect that the defnton (5) would gve appaent esstvty

9 Ahet T. Basoku 7 30 (a) FNI functon Re I (b) Fequency (hetz) Appaent esstvty ( Ω ) C 00 F FIG. 5. a) The FNI functon vesus deceasng fequency fo the pefectly conductng substatu case whee the odel: = 500 oh-, = 0 oh-, t = 350. (b) a copason between Cagnad's appaent esstvty (C) the appaent esstvty defnton a F ( F). values vey close to the tue esstvtes of the subsuface layes n case of ascendng banches. Pefectly Conductng Insulatng Substatu In the case of pefectly conductng substatu ( = 0, P = 0 ), one can pove that the coeffcent k s equal to unty by substtutng P = 0 nto (7). In vew of (37), (38) (40), the nueato the denonato of the eal pat becoe R(f) = snh( a ) / cosh( a ) (6) D(f) = + cos( a ) / cosh( a ). (6) Fo (35) the nueato of the agnay pat can be wtten as follow: I(f) = sn( a ) / cosh( a ). (63) It can be poved that the eal the agnay pats of the FNI functon ae equal to each othe fo suffcently low fequency values: = (64) snce

10 Appaent esstvty ( Ω ) 7 Fequency-noalsed Ipedance 5 (a) 0 FNI functon 5 0 Re -5-0 I Fequency (hetz) 000 (b) 00 F C FIG. 6. (a) The FNI functon vesus deceasng fequency fo the pefectly nsulatng substatu case whee the odel: = 500 oh-, = oh-, t = 350. The stas show the absolute values of the agnay pat appoachng to the eal pat fo hgh fequency values. (b) a copason between Cagnad's appaent esstvty (C) the appaent esstvty defnton (F). a F sn( a ) a snh( a ) a, fo sall values of a (Fg. 5a). The dffeence between the eal the agnay pats becoes zeo equals to the esstvty of the second laye as defned by (5) o (4). In the case of nsulatng baseent ( P = ), (7) can be wtten n the followng fo by dvdng both nueato denonato by P : = ( P / P + ) / ( P / P ) (65) k Snce P = then k becoes equal to -. Puttng k= - nto (40) (4), we obtan -snh( a ) = - ( exp( a ) - / exp( a ) ) (66) -cosh( a ) = - ( exp( a ) + / exp( a ) ) (67) the nueato the denonato of the eal pat becoe

11 Appaent esstvty ( Ω ) Ahet T. Basoku 73 0 F C F C Fequency (hetz) FIG. 7. (a) Syety of appaent esstvty cuves wth espect to the hozontal axs Cagnad's appaent esstvty the appaent esstvty defnton a =. C F ndcate, espectvely. The uppe cuves ae coputed fo the odel: = 3 oh-, = 0 oh-, 3 = oh-, t = 0, t = 50. The lowe cuves of the coespondng ecpocal geoelectc secton ae coputed fo the odel: = /3 oh-, = 0. oh-, 3 = oh-, t = 0/3, t = 5. a F R(f) = snh( a ) /cosh( a ), (68) D(f) = - cos( a ) / cosh( a ). (69) The nueato of the agnay pat can be wtten n sla way as I(f) = - sn( a ) / cosh( a ). (70) Fo sall values of fequency, the agnay pat s negatve ts absolute values ae appoxately equal to the eal pat (Fg 6a): R(f) - I(f) (7) o snce - (7) -sn( a ) - a, snh( a ) a. (7) can also be poved by usng the concept of ecpocal geoelectc secton. The pefectly nsulatng substatu case s the ecpocal secton of pefectly nsulatng case vce-vesa. By the help of (57), (58) (64) by usng the popetes of the ecpocal secton, (7) can also be obtaned. The stuaton can easly be seen n Fg. 6a. The absolute values of the agnay pat ae plotted as contnuous cuve to show how the agnay pat eaches to the eal pat. In that way, we pove the obustness of (5). Due to (7), the denonato of (5) becoes zeo fo ths case consequently the appaent esstvty defnton (5) tends to appoach nfnty. These esults show that the agntude of the agnay pat of the FNI functon vaes between zeo the agntude of the eal pat dependng on the esstvty ato of layes. It s zeo f thee s no contast. Ths coesponds to hoogenous eath case. The eath also behaves lke hoogeneous eath n hgh fequency lt whee the second laye has no contbuton on the FNI functon. Afte eachng a axu o a nu value the agnay pat becoes zeo at low fequency lt. RECIPROCAL PROPERT OF APPARENT RESISTIVIT As defned befoe, the ecpocal geoelectc secton s obtaned when the esstvty values of the subsuface layes ae eplaced by the ecpocals.

12 74 Fequency-noalsed Ipedance The thcknesses of the coespondng ecpocal geoelectc secton ae equal to the thcknesses dvded by the esstvtes of those layes. The equatons (57) (58) gve the elaton between the eal agnay pats of the FNI functon the FNI functon of the coespondng ecpocal secton. The saple values of the coespondng ecpocal appaent esstvty defntons can easly be found fo (57) (58). The esults ae: ' ac = / ac (73) ' = / (74) These equatons show that the blogathc plot of the appaent esstvty cuves wll be syetc wth the appaent esstvty cuves of the coespondng ecpocal secton. The axs of syety s the hozontal axs that ntesects the vetcal axs at unty. Fgue 7 shows the syetes of the appaent esstvty cuves the ecpocals wth espect to the hozontal axs of appaent esstvty equals to unty. CONCLUSIONS The exanaton of the FNI cuves gves useful nfoaton about the esstvty dstbuton of the subsuface layes. The saple values of the eal pat of the FNI functon vay wthn the ange of the squae oot of the tue esstvty values. The ascendng descendng banches of the eal pat ndcate the tanston fo one laye to the next. A se-ccula shaped ac on the agnay pat epesents a bounday between two consecutve layes. In ost cases, the agntude of the eal pat s hghe than that of the agnay pat. Consequently, the contbuton fo the eal pat s donant when calculatng the appaent esstvty usng Cagnad s(953) defnton. Then, a sgnfcant pat of the nfoaton contaned n the agnay pat s lost. Fo ths eason, the effects of the elatvely thn layes on the Cagnad s(953) appaent esstvty cuves becoe nvsble. Moeove, the oscllatons of the eal pat ae tansfeed to the appaent esstvty cuve. But, these oscllatons ae suppessed n the defnton, the effect of the tue esstvty a F values of the layes s agnfed. Because, the agnay pat copensates the oscllatons caused by the eal pat. The appaent esstvty defntons ae useful fo the qualtatve ntepetaton of the MT data. A pactcal applcaton has been descbed by Basoku et al. (997b) fo a assve sulphde exploaton poble. The exanaton of the eal agnay pats of the FNI functon also gve useful nfoaton sees to be oe feasble than the appaent esstvty data fo the quanttatve ntepetaton. Usng the FNI foulaton nstead of the appaent esstvty the phase values ay cay the nveson of the MT data oe effcently n copason wth the conventonal pocedues (Ulugegel Basoku, 994). ACKNOWLEDGMENTS Ths wok suppoted by the Scentfc Techncal Reseach Councl of Tukey (TUBITAK) unde gant no. BAG-0. REFERENCES Basoku, A. T., 994a, Defntons of appaent esstvty fo the pesentaton of agnetotelluc soundng data: Geophyscal Pospectng, 4, Basoku, A. T., 994b, Reply to Coent on Defntons of appaent esstvty fo the pesentaton of agnetotelluc soundng data by L. Szaka: Geophyscal Pospectng, 4, Basoku, A. T., Kaya, C. Ulugegel, E. U., 997a, Dect ntepetaton of agnetotelluc soundng data based on the fequency-noalzed pedance, Geophyscal Pospectng, 43, 7-34 Basoku, A. T., Rasussen, T. M., Kaya, C., Altun,., Aktas, K., 997b, Copason of Induced Polazaton Contolled Souce Audo-Magnetotellucs ethods fo the assve chalcopyte exploaton n volcanc aea, Geophyscs 6, Cagnad, L., 953, Basc theoy of the agnetotelluc ethod of geophyscal pospectng: Geophyscs, 8, Kaufan, A. A., Kelle, G.V., 98, The agnetotelluc soundng ethod: Elseve. Schucke, U., 970, Anoales of geoagnetc vaatons n the southwesten Unted States: Scpps Insttuton of Oceanogaphy Bulletn, 3, Unv. of Calfona Pess, 65 pp. Spes, B.R., Egges, D.E., 986, The use suse of appaent esstvty n electoagnetc ethods: Geophyscs, 5, Szaka, L., 994, Coent on Defntons of appaent esstvty fo the pesentaton of agnetotelluc soundng data by A. T. Basoku : Geophyscal Pospectng, 4, Ulugegel, E. U. Basoku, A.T., 994, Effect of the type of data on the soluton of laye paaetes n agnetotelluc nveson (n Tuksh), Jeofzk, 8, 3-46.

2/24/2014. The point mass. Impulse for a single collision The impulse of a force is a vector. The Center of Mass. System of particles

2/24/2014. The point mass. Impulse for a single collision The impulse of a force is a vector. The Center of Mass. System of particles /4/04 Chapte 7 Lnea oentu Lnea oentu of a Sngle Patcle Lnea oentu: p υ It s a easue of the patcle s oton It s a vecto, sla to the veloct p υ p υ p υ z z p It also depends on the ass of the object, sla

More information

gravity r2,1 r2 r1 by m 2,1

gravity r2,1 r2 r1 by m 2,1 Gavtaton Many of the foundatons of classcal echancs wee fst dscoveed when phlosophes (ealy scentsts and atheatcans) ted to explan the oton of planets and stas. Newton s ost faous fo unfyng the oton of

More information

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS #A39 INTEGERS 9 (009), 497-513 GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS Mohaad Faokh D. G. Depatent of Matheatcs, Fedows Unvesty of Mashhad, Mashhad,

More information

Chapter 8. Linear Momentum, Impulse, and Collisions

Chapter 8. Linear Momentum, Impulse, and Collisions Chapte 8 Lnea oentu, Ipulse, and Collsons 8. Lnea oentu and Ipulse The lnea oentu p of a patcle of ass ovng wth velocty v s defned as: p " v ote that p s a vecto that ponts n the sae decton as the velocty

More information

Thermoelastic Problem of a Long Annular Multilayered Cylinder

Thermoelastic Problem of a Long Annular Multilayered Cylinder Wold Jounal of Mechancs, 3, 3, 6- http://dx.do.og/.436/w.3.35a Publshed Onlne August 3 (http://www.scp.og/ounal/w) Theoelastc Poble of a Long Annula Multlayeed Cylnde Y Hsen Wu *, Kuo-Chang Jane Depatent

More information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints. Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then

More information

24-2: Electric Potential Energy. 24-1: What is physics

24-2: Electric Potential Energy. 24-1: What is physics D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a

More information

Chapter 23: Electric Potential

Chapter 23: Electric Potential Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

THE EQUIVALENCE OF GRAM-SCHMIDT AND QR FACTORIZATION (page 227) Gram-Schmidt provides another way to compute a QR decomposition: n

THE EQUIVALENCE OF GRAM-SCHMIDT AND QR FACTORIZATION (page 227) Gram-Schmidt provides another way to compute a QR decomposition: n HE EQUIVAENCE OF GRA-SCHID AND QR FACORIZAION (page 7 Ga-Schdt podes anothe way to copute a QR decoposton: n gen ectos,, K, R, Ga-Schdt detenes scalas j such that o + + + [ ] [ ] hs s a QR factozaton of

More information

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same

More information

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC

More information

A. Proofs for learning guarantees

A. Proofs for learning guarantees Leanng Theoy and Algoths fo Revenue Optzaton n Second-Pce Auctons wth Reseve A. Poofs fo leanng guaantees A.. Revenue foula The sple expesson of the expected evenue (2) can be obtaned as follows: E b Revenue(,

More information

Potential Theory. Copyright 2004

Potential Theory. Copyright 2004 Copyght 004 4 Potental Theoy We have seen how the soluton of any classcal echancs poble s fst one of detenng the equatons of oton. These then ust be solved n ode to fnd the oton of the patcles that copse

More information

A. Thicknesses and Densities

A. Thicknesses and Densities 10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

Physics 202, Lecture 2. Announcements

Physics 202, Lecture 2. Announcements Physcs 202, Lectue 2 Today s Topcs Announcements Electc Felds Moe on the Electc Foce (Coulomb s Law The Electc Feld Moton of Chaged Patcles n an Electc Feld Announcements Homewok Assgnment #1: WebAssgn

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant

More information

PHYS 1443 Section 003 Lecture #21

PHYS 1443 Section 003 Lecture #21 PHYS 443 Secton 003 Lectue # Wednesday, Nov. 7, 00 D. Jaehoon Yu. Gavtatonal eld. negy n Planetay and Satellte Motons 3. scape Speed 4. lud and Pessue 5. Vaaton of Pessue and Depth 6. Absolute and Relatve

More information

Physics 207 Lecture 16

Physics 207 Lecture 16 Physcs 07 Lectue 6 Goals: Lectue 6 Chapte Extend the patcle odel to gd-bodes Undestand the equlbu of an extended object. Analyze ollng oton Undestand otaton about a fxed axs. Eploy consevaton of angula

More information

Physics 1501 Lecture 19

Physics 1501 Lecture 19 Physcs 1501 ectue 19 Physcs 1501: ectue 19 Today s Agenda Announceents HW#7: due Oct. 1 Mdte 1: aveage 45 % Topcs otatonal Kneatcs otatonal Enegy Moents of Ineta Physcs 1501: ectue 19, Pg 1 Suay (wth copason

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

ALL QUESTIONS ARE WORTH 20 POINTS. WORK OUT FIVE PROBLEMS.

ALL QUESTIONS ARE WORTH 20 POINTS. WORK OUT FIVE PROBLEMS. GNRAL PHYSICS PH -3A (D. S. Mov) Test (/3/) key STUDNT NAM: STUDNT d #: -------------------------------------------------------------------------------------------------------------------------------------------

More information

19 The Born-Oppenheimer Approximation

19 The Born-Oppenheimer Approximation 9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A

More information

5-99C The Taylor series expansion of the temperature at a specified nodal point m about time t i is

5-99C The Taylor series expansion of the temperature at a specified nodal point m about time t i is Chapte Nuecal Methods n Heat Conducton Specal opc: Contollng the Nuecal Eo -9C he esults obtaned usng a nuecal ethod dffe fo the eact esults obtaned analytcally because the esults obtaned by a nuecal ethod

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

More information

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4 CSJM Unvesty Class: B.Sc.-II Sub:Physcs Pape-II Ttle: Electomagnetcs Unt-: Electostatcs Lectue: to 4 Electostatcs: It deals the study of behavo of statc o statonay Chages. Electc Chage: It s popety by

More information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,

More information

Remember: When an object falls due to gravity its potential energy decreases.

Remember: When an object falls due to gravity its potential energy decreases. Chapte 5: lectc Potental As mentoned seveal tmes dung the uate Newton s law o gavty and Coulomb s law ae dentcal n the mathematcal om. So, most thngs that ae tue o gavty ae also tue o electostatcs! Hee

More information

Energy in Closed Systems

Energy in Closed Systems Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and

More information

3.1 Electrostatic Potential Energy and Potential Difference

3.1 Electrostatic Potential Energy and Potential Difference 3. lectostatc Potental negy and Potental Dffeence RMMR fom mechancs: - The potental enegy can be defned fo a system only f consevatve foces act between ts consttuents. - Consevatve foces may depend only

More information

Physics Exam 3

Physics Exam 3 Physcs 114 1 Exam 3 The numbe of ponts fo each secton s noted n backets, []. Choose a total of 35 ponts that wll be gaded that s you may dop (not answe) a total of 5 ponts. Clealy mak on the cove of you

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information

A Study of C-Reducible Finsler Space. With Special Cases

A Study of C-Reducible Finsler Space. With Special Cases Matheatcs Today Vol.27(June-2011)( Poc. of Maths Meet 2011) 47-54 ISSN 0976-3228 A Study of C-Reducble Fnsle Space Wth Specal Cases D. Pooja S. Saxena, D. Puneet Swaoop, E. Swat Swaoop Abstact The noton

More information

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin Some Appoxmate Analytcal Steady-State Solutons fo Cylndcal Fn ANITA BRUVERE ANDRIS BUIIS Insttute of Mathematcs and Compute Scence Unvesty of Latva Rana ulv 9 Rga LV459 LATVIA Astact: - In ths pape we

More information

PHYS Week 5. Reading Journals today from tables. WebAssign due Wed nite

PHYS Week 5. Reading Journals today from tables. WebAssign due Wed nite PHYS 015 -- Week 5 Readng Jounals today fom tables WebAssgn due Wed nte Fo exclusve use n PHYS 015. Not fo e-dstbuton. Some mateals Copyght Unvesty of Coloado, Cengage,, Peason J. Maps. Fundamental Tools

More information

BALANCING OF ROTATING MASSES

BALANCING OF ROTATING MASSES www.getyun.co YIS OF HIES IG OF ROTTIG SSES www.getyun.co Rotatng centelne: The otatng centelne beng defned as the axs about whch the oto would otate f not constaned by ts beangs. (lso called the Pncple

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

Fatigue equivalent loads for visualization of multimodal dynamic simulations

Fatigue equivalent loads for visualization of multimodal dynamic simulations Vst the SIMULI Resouce Cente fo oe custoe exaples. atgue equvalent loads fo vsualzaton of ultodal dynac sulatons Henk Wentzel 1, Gwenaëlle Genet 1 Coespondng autho Scana Coecal Vehcles B SE-151 87, Södetälje,

More information

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41. Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,

More information

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More information

Optimal Design of Step Stress Partially Accelerated Life Test under Progressive Type-II Censored Data with Random Removal for Gompertz Distribution

Optimal Design of Step Stress Partially Accelerated Life Test under Progressive Type-II Censored Data with Random Removal for Gompertz Distribution Aecan Jounal of Appled Matheatcs and Statstcs, 09, Vol 7, No, 37-4 Avalable onlne at http://pubsscepubco/ajas/7//6 Scence and Educaton Publshng DOI:069/ajas-7--6 Optal Desgn of Step Stess Patally Acceleated

More information

Scattering by a perfectly conducting infinite cylinder

Scattering by a perfectly conducting infinite cylinder Scatterng by a perfectly conductng nfnte cylnder Reeber that ths s the full soluton everywhere. We are actually nterested n the scatterng n the far feld lt. We agan use the asyptotc relatonshp exp exp

More information

BALANCING OF ROTATING MASSES

BALANCING OF ROTATING MASSES VTU EUST PROGRE - 7 YIS OF HIES Subject ode - E 54 IG OF ROTTIG SSES otes opled by: VIJYVITH OGE SSOITE PROFESSOR EPRTET OF EHI EGIEERIG OEGE OF EGIEERIG HSS -57. KRTK oble:94488954 E-al:vvb@cehassan.ac.n

More information

Correspondence Analysis & Related Methods

Correspondence Analysis & Related Methods Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng

More information

XII.3 The EM (Expectation-Maximization) Algorithm

XII.3 The EM (Expectation-Maximization) Algorithm XII.3 The EM (Expectaton-Maxzaton) Algorth Toshnor Munaata 3/7/06 The EM algorth s a technque to deal wth varous types of ncoplete data or hdden varables. It can be appled to a wde range of learnng probles

More information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

On the number of regions in an m-dimensional space cut by n hyperplanes

On the number of regions in an m-dimensional space cut by n hyperplanes 6 On the nuber of regons n an -densonal space cut by n hyperplanes Chungwu Ho and Seth Zeran Abstract In ths note we provde a unfor approach for the nuber of bounded regons cut by n hyperplanes n general

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 151 Lectue 18 Hamltonan Equatons of Moton (Chapte 8) What s Ahead We ae statng Hamltonan fomalsm Hamltonan equaton Today and 11/6 Canoncal tansfomaton 1/3, 1/5, 1/10 Close lnk to non-elatvstc

More information

Optimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis

Optimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis Optmzaton Meods: Lnea Pogammng- Revsed Smple Meod Module Lectue Notes Revsed Smple Meod, Dualty and Senstvty analyss Intoducton In e pevous class, e smple meod was dscussed whee e smple tableau at each

More information

Physics Exam II Chapters 25-29

Physics Exam II Chapters 25-29 Physcs 114 1 Exam II Chaptes 5-9 Answe 8 of the followng 9 questons o poblems. Each one s weghted equally. Clealy mak on you blue book whch numbe you do not want gaded. If you ae not sue whch one you do

More information

FARADAY'S LAW. dates : No. of lectures allocated. Actual No. of lectures 3 9/5/09-14 /5/09

FARADAY'S LAW. dates : No. of lectures allocated. Actual No. of lectures 3 9/5/09-14 /5/09 FARADAY'S LAW No. of lectues allocated Actual No. of lectues dates : 3 9/5/09-14 /5/09 31.1 Faaday's Law of Induction In the pevious chapte we leaned that electic cuent poduces agnetic field. Afte this

More information

Multipole Radiation. March 17, 2014

Multipole Radiation. March 17, 2014 Multpole Radaton Mach 7, 04 Zones We wll see that the poblem of hamonc adaton dvdes nto thee appoxmate egons, dependng on the elatve magntudes of the dstance of the obsevaton pont,, and the wavelength,

More information

10/15/2013. PHY 113 C General Physics I 11 AM-12:15 PM MWF Olin 101

10/15/2013. PHY 113 C General Physics I 11 AM-12:15 PM MWF Olin 101 10/15/01 PHY 11 C Geneal Physcs I 11 AM-1:15 PM MWF Oln 101 Plan fo Lectue 14: Chapte 1 Statc equlbu 1. Balancng foces and toques; stablty. Cente of gavty. Wll dscuss elastcty n Lectue 15 (Chapte 15) 10/14/01

More information

Groupoid and Topological Quotient Group

Groupoid and Topological Quotient Group lobal Jounal of Pue and Appled Mathematcs SSN 0973-768 Volume 3 Numbe 7 07 pp 373-39 Reseach nda Publcatons http://wwwpublcatoncom oupod and Topolocal Quotent oup Mohammad Qasm Manna Depatment of Mathematcs

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork Joned Physcs Analyss Cente Summe Wokshop on the Reacton Theoy Execse sheet 8 Vncent Matheu Contact: http://www.ndana.edu/~sst/ndex.html June June To be dscussed on Tuesday of Week-II. Classwok. Deve all

More information

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o?

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o? Test 1 phy 0 1. a) What s the pupose of measuement? b) Wte all fou condtons, whch must be satsfed by a scala poduct. (Use dffeent symbols to dstngush opeatons on ectos fom opeatons on numbes.) c) What

More information

TEST-03 TOPIC: MAGNETISM AND MAGNETIC EFFECT OF CURRENT Q.1 Find the magnetic field intensity due to a thin wire carrying current I in the Fig.

TEST-03 TOPIC: MAGNETISM AND MAGNETIC EFFECT OF CURRENT Q.1 Find the magnetic field intensity due to a thin wire carrying current I in the Fig. TEST-03 TPC: MAGNETSM AND MAGNETC EFFECT F CURRENT Q. Fnd the magnetc feld ntensty due to a thn we cayng cuent n the Fg. - R 0 ( + tan) R () 0 ( ) R 0 ( + ) R 0 ( + tan ) R Q. Electons emtted wth neglgble

More information

9/12/2013. Microelectronics Circuit Analysis and Design. Modes of Operation. Cross Section of Integrated Circuit npn Transistor

9/12/2013. Microelectronics Circuit Analysis and Design. Modes of Operation. Cross Section of Integrated Circuit npn Transistor Mcoelectoncs Ccut Analyss and Desgn Donald A. Neamen Chapte 5 The pola Juncton Tanssto In ths chapte, we wll: Dscuss the physcal stuctue and opeaton of the bpola juncton tanssto. Undestand the dc analyss

More information

q-bernstein polynomials and Bézier curves

q-bernstein polynomials and Bézier curves Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 q-bensten polynomals and Béze cuves Hall Ouç a, and Geoge M. Phllps b a Depatment of Mathematcs, Dokuz Eylül Unvesty Fen Edebyat Fakültes, Tınaztepe

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

An Approach to Inverse Fuzzy Arithmetic

An Approach to Inverse Fuzzy Arithmetic An Appoach to Invese Fuzzy Athmetc Mchael Hanss Insttute A of Mechancs, Unvesty of Stuttgat Stuttgat, Gemany mhanss@mechaun-stuttgatde Abstact A novel appoach of nvese fuzzy athmetc s ntoduced to successfully

More information

PO with Modified Surface-normal Vectors for RCS calculation of Scatterers with Edges and Wedges

PO with Modified Surface-normal Vectors for RCS calculation of Scatterers with Edges and Wedges wth Modfed Suface-nomal Vectos fo RCS calculaton of Scattees wth Edges and Wedges N. Omak N. Omak, T.Shjo, and M. Ando Dep. of Electcal and Electonc Engneeng, Tokyo Insttute of Technology, Japan 1 Outlne.

More information

Rotating Disk Electrode -a hydrodynamic method

Rotating Disk Electrode -a hydrodynamic method Rotatng Dsk Electode -a hdodnamc method Fe Lu Ma 3, 0 ente fo Electochemcal Engneeng Reseach Depatment of hemcal and Bomolecula Engneeng Rotatng Dsk Electode A otatng dsk electode RDE s a hdodnamc wokng

More information

Excess Error, Approximation Error, and Estimation Error

Excess Error, Approximation Error, and Estimation Error E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple

More information

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy.

Elastic Collisions. Definition: two point masses on which no external forces act collide without losing any energy. Elastc Collsons Defnton: to pont asses on hch no external forces act collde thout losng any energy v Prerequstes: θ θ collsons n one denson conservaton of oentu and energy occurs frequently n everyday

More information

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e. SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal

More information

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs

More information

General method to derive the relationship between two sets of Zernike coefficients corresponding to different aperture sizes

General method to derive the relationship between two sets of Zernike coefficients corresponding to different aperture sizes 960 J. Opt. Soc. A. A/ Vol. 23, No. 8/ August 2006 Shu et al. Geneal ethod to deve the elatonshp between two sets of Zene coeffcents coespondng to dffeent apetue szes Huazhong Shu and Ln Luo Laboatoy of

More information

Transport Coefficients For A GaAs Hydro dynamic Model Extracted From Inhomogeneous Monte Carlo Calculations

Transport Coefficients For A GaAs Hydro dynamic Model Extracted From Inhomogeneous Monte Carlo Calculations Tanspot Coeffcents Fo A GaAs Hydo dynamc Model Extacted Fom Inhomogeneous Monte Calo Calculatons MeKe Ieong and Tngwe Tang Depatment of Electcal and Compute Engneeng Unvesty of Massachusetts, Amhest MA

More information

The finite element approach for evaluation of extinction cross-section of realistically distorted raindrops

The finite element approach for evaluation of extinction cross-section of realistically distorted raindrops Indan Jounal of Rado & Space Physcs Vol. 37, Apl 008, pp. 114- The fnte eleent appoach fo evaluaton of extncton coss-secton of ealstcally dstoted andops Aajt & R P S Gangwa Depatent of Electoncs and Councaton

More information

LASER ABLATION ICP-MS: DATA REDUCTION

LASER ABLATION ICP-MS: DATA REDUCTION Lee, C-T A Lase Ablaton Data educton 2006 LASE ABLATON CP-MS: DATA EDUCTON Cn-Ty A. Lee 24 Septembe 2006 Analyss and calculaton of concentatons Lase ablaton analyses ae done n tme-esolved mode. A ~30 s

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs Patten Analyses (EOF Analyss) Intoducton Defnton of EOFs Estmaton of EOFs Infeence Rotated EOFs . Patten Analyses Intoducton: What s t about? Patten analyses ae technques used to dentfy pattens of the

More information

30 The Electric Field Due to a Continuous Distribution of Charge on a Line

30 The Electric Field Due to a Continuous Distribution of Charge on a Line hapte 0 The Electic Field Due to a ontinuous Distibution of hage on a Line 0 The Electic Field Due to a ontinuous Distibution of hage on a Line Evey integal ust include a diffeential (such as d, dt, dq,

More information

The Finite Strip Method (FSM) 1. Introduction

The Finite Strip Method (FSM) 1. Introduction The Fnte Stp ethod (FS). ntoducton Ths s the ethod of se-nuecal and se-analtcal natue. t s sutale fo the analss of ectangula plates and plane-stess eleents o stuctues eng the conaton of oth. Theefoe, the

More information

Objectives. Chapter 6. Learning Outcome. Newton's Laws in Action. Reflection: Reflection: 6.2 Gravitational Field

Objectives. Chapter 6. Learning Outcome. Newton's Laws in Action. Reflection: Reflection: 6.2 Gravitational Field Chapte 6 Gataton Objectes 6. Newton's Law o nesal Gataton 6. Gatatonal Feld 6. Gatatonal Potental 6. Satellte oton n Ccula Obts 6.5 scape Velocty Leanng Outcoe (a and use the oula / (b explan the eanng

More information

Machine Learning 4771

Machine Learning 4771 Machne Leanng 4771 Instucto: Tony Jebaa Topc 6 Revew: Suppot Vecto Machnes Pmal & Dual Soluton Non-sepaable SVMs Kenels SVM Demo Revew: SVM Suppot vecto machnes ae (n the smplest case) lnea classfes that

More information

4 Recursive Linear Predictor

4 Recursive Linear Predictor 4 Recusve Lnea Pedcto The man objectve of ths chapte s to desgn a lnea pedcto wthout havng a po knowledge about the coelaton popetes of the nput sgnal. In the conventonal lnea pedcto the known coelaton

More information

iclicker Quiz a) True b) False Theoretical physics: the eternal quest for a missing minus sign and/or a factor of two. Which will be an issue today?

iclicker Quiz a) True b) False Theoretical physics: the eternal quest for a missing minus sign and/or a factor of two. Which will be an issue today? Clce Quz I egsteed my quz tansmtte va the couse webste (not on the clce.com webste. I ealze that untl I do so, my quz scoes wll not be ecoded. a Tue b False Theoetcal hyscs: the etenal quest fo a mssng

More information

Chapter 12 Equilibrium and Elasticity

Chapter 12 Equilibrium and Elasticity Chapte 12 Equlbum and Elastcty In ths chapte we wll defne equlbum and fnd the condtons needed so that an object s at equlbum. We wll then apply these condtons to a vaety of pactcal engneeng poblems of

More information

CHAPTER 15 SPECIAL PERTURBATIONS

CHAPTER 15 SPECIAL PERTURBATIONS CHAPTER 5 SPECIAL PERTURBATIONS [Ths chapte s unde developent and t a be a athe long te befoe t s coplete. It s the ntenton that t a deal wth specal petubatons, dffeental coectons, and the coputaton of

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

(8) Gain Stage and Simple Output Stage

(8) Gain Stage and Simple Output Stage EEEB23 Electoncs Analyss & Desgn (8) Gan Stage and Smple Output Stage Leanng Outcome Able to: Analyze an example of a gan stage and output stage of a multstage amplfe. efeence: Neamen, Chapte 11 8.0) ntoducton

More information

CHAPTER 10 ROTATIONAL MOTION

CHAPTER 10 ROTATIONAL MOTION CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The

More information

SMOOTH FLEXIBLE MODELS OF NONHOMOGENEOUS POISSON PROCESSES USING ONE OR MORE PROCESS REALIZATIONS. for all t (0, S]

SMOOTH FLEXIBLE MODELS OF NONHOMOGENEOUS POISSON PROCESSES USING ONE OR MORE PROCESS REALIZATIONS. for all t (0, S] Poceedngs of the 8 Wnte ulaton Confeence J Mason R R Hll L Mönch O Rose T Jeffeson J W Fowle eds MOOTH FLEXIBLE MOEL OF NONHOMOGENEOU POION PROCEE UING ONE OR MORE PROCE REALIZATION Mchael E uhl halaa

More information

Revision: December 13, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: December 13, E Main Suite D Pullman, WA (509) Voice and Fax .9.1: AC power analyss Reson: Deceber 13, 010 15 E Man Sute D Pullan, WA 99163 (509 334 6306 Voce and Fax Oerew n chapter.9.0, we ntroduced soe basc quanttes relate to delery of power usng snusodal sgnals.

More information

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION IJMMS 3:37, 37 333 PII. S16117131151 http://jmms.hndaw.com Hndaw Publshng Cop. ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION ADEM KILIÇMAN Receved 19 Novembe and n evsed fom 7 Mach 3 The Fesnel sne

More information

Chapter 12 Lyes KADEM [Thermodynamics II] 2007

Chapter 12 Lyes KADEM [Thermodynamics II] 2007 Chapter 2 Lyes KDEM [Therodynacs II] 2007 Gas Mxtures In ths chapter we wll develop ethods for deternng therodynac propertes of a xture n order to apply the frst law to systes nvolvng xtures. Ths wll be

More information

CSU ATS601 Fall Other reading: Vallis 2.1, 2.2; Marshall and Plumb Ch. 6; Holton Ch. 2; Schubert Ch r or v i = v r + r (3.

CSU ATS601 Fall Other reading: Vallis 2.1, 2.2; Marshall and Plumb Ch. 6; Holton Ch. 2; Schubert Ch r or v i = v r + r (3. 3 Eath s Rotaton 3.1 Rotatng Famewok Othe eadng: Valls 2.1, 2.2; Mashall and Plumb Ch. 6; Holton Ch. 2; Schubet Ch. 3 Consde the poston vecto (the same as C n the fgue above) otatng at angula velocty.

More information

Tian Zheng Department of Statistics Columbia University

Tian Zheng Department of Statistics Columbia University Haplotype Tansmsson Assocaton (HTA) An "Impotance" Measue fo Selectng Genetc Makes Tan Zheng Depatment of Statstcs Columba Unvesty Ths s a jont wok wth Pofesso Shaw-Hwa Lo n the Depatment of Statstcs at

More information