The Cauchy Problem for the Heat Equation with a Random Right Part from the Space

Size: px
Start display at page:

Download "The Cauchy Problem for the Heat Equation with a Random Right Part from the Space"

Transcription

1 Appled Mhemcs, 4, 5, Publshed Ole Augus 4 ScRes hp://wwwscrporg/jourl/m hp://dxdoorg/436/m4556 The Cuch Problem for he He Equo wh Rdom Rgh Pr from he Spce Sub ϕ ( Ω Yur Kozcheo, A Slv-Tlshch Deprme of Probbl Theor, Sscs d Acurl Mhemcs, The Fcul of Mechcs d Mhemcs, Trs Shevcheo Nol Uvers of Kv, Kv, Ure Eml: v@uvevu, slv@ure Receved 6 M 4; revsed 4 Jue 4; cceped 7 Jul 4 Coprgh 4 b uhors d Scefc Reserch Publshg Ic Ths wor s lcesed uder he Creve Commos Arbuo Ierol Lcese (CC BY hp://crevecommosorg/lceses/b/4/ Absrc The fluece of rdom fcors should ofe be e o ccou solvg problems of mhemcl phscs The he equo wh rdom fcors s clsscl problem of he prbolc pe of mhemcl phscs I hs pper, he he equo wh rdom rgh sde s exmed I prculr, we gve codos of exsece wh probbl, oe clsscl soluos he cse whe he rgh sde s rdom feld, smple couous wh probbl oe from he spce Sub ϕ ( Ω Esmo for he dsrbuo of he supremum of soluos of such equos s fouded Kewords Cuch Problem, He Equo, Sochsc Process Iroduco The subjec of hs wor s he erseco of wo brches of mhemcs: mhemcl phscs d sochsc processes The phscl formulo of problems of mhemcl phscs wh rdom fcors ws suded b Kmpe de Fere [] I he wors [] d [3], ew pproch sudg he soluos of prl dfferel equos wh rdom l codos ws proposed The uhors vesge he covergece probbl of he sequece of fuco spces of prl sums pproxmg he soluo of problem The meoed pproch ws used he wors [4]-[7] I he pper [3], he pplco of he Fourer mehod for he homogeeous How o ce hs pper: Kozcheo, Y d Slv-Tlshch, A (4 The Cuch Problem for he He Equo wh Rdom Rgh Pr from he Spce Sub φ (Ω Appled Mhemcs, 5, hp://dxdoorg/436/m4556

2 Y Kozcheo, A Slv-Tlshch hperbolc equo wh Guss l codos s jusfed The codos of he exsece of he clsscl soluo of hs equo erms of correlo fucos re lso suded Homogeeous hperbolc equo wh rdom l codos from he spce Sub ϕ ( Ω s cosdered [8]-[] The model of soluo of hperbolc pe equo wh rdom l codos ws vesged he ppers [] [3] There s sud o boudr-vlue problem of mhemcl phscs for he homogeeous hperbolc equo wh ϕ -subguss rgh pr [8] [4] The prbolc pe equos of Mhemcl Phscs wh rdom fcors of Orlcz spces hve bee suded he ppers [5] [6] Furher refereces c be foud [8] [7]-[] We cosder Cuch problem for he he equos wh rdom rgh pr We sud he homogeeous he equo o le wh rdom rgh pr We cosder he rgh pr s rdom fuco of he spce Sub ϕ ( Ω The Guss sochsc process wh zero me belogs o Sub ϕ ( Ω [] The codos of exsece wh probbl oe of he clsscl soluo of hs problem re vesged For such problem hs bee go he esmo for he dsrbuo of he supremum soluo The pper cosss of he roduco d hree prs Seco cos ecessr defos d resuls of he heor of he Sub ϕ ( Ω spce I Seco 3, we cosder he equos wh rdom rgh-hd sde For such problem codos of exsece, wh probbl oe, of clsscl soluo wh rdom rgh-hd sde from he spce Lp ( Ω re foud The esmo for dsrbuo of supremum of hs problem hs bee go Seco 4 Rdom Processes from Sub ( Ω ϕ Spce Defo [3] A eve couous covex fuco u( x, u( x u( x for x d lm =, lm = s clled - x R such h u = d u( x > N fuco x x x x Defo [] We s N- fuco u ssfes he q - codo f here exs coss z >, >, A > such h u ( x u ( Au ( x for ll x > z, > z Lemm [] Le u( x be N- fuco The u( αx αu( x for α d x R ; u αx αu( x for α > d x R ; 3 u( x + + u( for x, R ; 4 The fuco u( x x s o decresg for x > ( ( Lemm [] Le u ( x be he verse o N- fuco u( x for x > The u ( x s covex cresg fuco such h u αx αu x for α d x R ; 3 ( ( α ( u x αu x for α > d x R ; u x + u x + u for x, R ; 4 he fuco Defo 3 [3] Le u x x s ocresg for x > u x be - N fuco The fuco u ( x x u ( Fechel rsform of he fuco u( x The fuco u ( x Le { ΩI,, P} be sdrd probbl spce Defo 4 [] Le ϕ ( x be - h ϕ ( x = cx for x < x The se of rdom vrbles ered b he N- fuco ϕ ( x f { λξ} { ϕ ( λ ξ } E exp exp for ll = sup( s clled he Youg- R s N- fuco s well N fuco for whch here exs coss x > d c > such ξ ϖ, R ϖ, s clled he spce Eξ = d here exss cos ξ such h λ R The spce Sub ϕ ( Ω s Bch spce wh respec o he orm [] ( ( leexp{ λξ} ϕ τϕ = sup λ λ Sub ϕ Ω ge- 39

3 Y Kozcheo, A Slv-Tlshch Defo 5 [3] The sochsc process X = { X (, T} belogs o spce Sub ϕ ( Ω, X Sub ϕ Sub ϕ ( Ω for ll T Remr [4] The Guss sochsc process X ( wh zero me belogs o X φ ( x = x d ( X ( E( X ( τ = A Fml of Srogl Subϕ ( Ω Rdom Vrbles d Fml Srogl Subϕ ( Ω Sochsc Processes Lemm 3 [] If ξ Sub ϕ ( Ω, he here exss cos C > such h E ( ξ Cτφ ( ξ Ω f Sub ϕ Ω, where SSub ϕ Ω rdom Defo 6 [] The rdom vrble ξ Sub ϕ ( Ω s clled srogl Sub ϕ ( Ω, vrble f τφ ( Eξ ξ = Properes d pplcos of SSub ϕ ( Ω rdom vrbles d sochsc processes from SSub ϕ be foud [] Defo 7 [7] A fml of rdom vrbles ξ of he spce Sub ϕ ( Ω s clled for ll τϕ λξ = E λξ I I λ R, where I s mos couble d Ω c SSub ϕ Ω fml f ξ, I Sub ϕ Ω fml of rdom vrbles The he ler closure of Sub ϕ Ω fml X = X, T, I s clled SSub ϕ ( Ω process f he Theorem [7] Le be srogl he fml he spce L ( Ω d he me squre sese s srogl Defo 8 [] The sochsc process { } fml of rdom vrbles X = { X(, T, I} s SSub ϕ ( Ω Theorem [7] Le X = { X(, T, I} be fml of jol srogl Sub ϕ cesses The ( T, θ, µ s mesurble spce If ( T, θ, µ d he egrl ξ φ ( X ( dµ ( T rdom vrbles = {, I, =, } Theorem 3 [9] Le d ( s, mx s ξ { I,, } Ω sochsc pro- φ = s fml of mesurble fucos = s well defed he me squre sese, h he fml of Sub ϕ Ω fml ξ s R be he -dmesol spce, =, T { T,,,, } = =, he process X ( s seprble d sup τφ ( X( X( s σ ( h where ( h d ( s, h T > X { X (, T} Sub ϕ = Ω Assume h σ s moooe cresg couous fuco such h σ ( h s h We lso ssume h ψ l dε < ( + σ ( ε,where ( ψ u = ( φ ( u d σ ( ε s he verse fuco o σ ( ε If he processes X ( coverge probbl o he process T, he X ( coverge probbl he spce C( T Theorem 4 [9] Le T = { x b, =,, m} d le ξ ( X, X T h ξ ( X SSub ϕ ( Ω Pu B ( XY, = Eξ( X ξ( Y d ssume h he prl dervves B( XY, B ( XY, =, =,, m d u X for ll, be seprble rdom feld such 3

4 Y Kozcheo, A Slv-Tlshch (, 4 B XY B ( XY, =, =,, m, =,, m exs Le here exs moooe cresg couous fuco σ z ( h >, h >, such h z ( h h for z = (,,,, z = (,,,, =,, m d z= (,,,,, =,, m Assume h sup ( Bz ( X, X + Bz ( Y, Y Bz ( X, Y σ z ( h x h =,, m σ s ε u If ψ l ( du < for ll z d for suffcel smll ε > where ψ ( u = φ ( u (, he φ ( u ξ ( X ξ ( X wh probbl oe he prl dervves,,, j =,, m, exs d re couous 3 The He Equos wh Rdom Rgh Pr We cosder he Cuch problem for he he equo (, u( x, u x = + < x<, >, subjec o he l codo ξ j ( x,, u x, =, < x< ( Le he fuco ξ( x, { ξ( x,, xr, } he spce Sub ϕ ( Ω, such h Eξ ( x, =, E( ξ ( x, < Le us deoe B( xzs,,, Eξ( x, ξ( zs, B( xzs,,, be couous fuco Problem whe he fuco ( x, Lemm 4 Le ξ ( x, s rdom feld, smple cou for ech ξ ( x, couous dervve The for he fuco ( x, = > s rdom feld smple cou wh probbl oe from for exs d ξ( τ ξ( τ x R d ssf codo ( ( = Le ξ ordom hs bee see [5] > wh probbl oe, here s E ξ x, d x< (3 R ξ for ech > he egrl Fourer rsform x, = cos x x, d π ξ(, τ = cos xξ( x, τ dx π Proof Sce, b Fub s heorem, Eξ( x, d x< E ξ ( x,, we deduce h he egrl R R ξ ( x, dx< exs wh probbl oe, d herefore he egrl ξ( τ R ples from [6] h he egrl Fourer rsform exs, d he verse egrl Fourer rsform ξ(, τ = cos xξ( x, τ dx π cos x x, dx, d herefore m- 3

5 Y Kozcheo, A Slv-Tlshch ξ( x, τ = cos x ξ ( x, τ dx π exs Theorem 5 Le he codos of Lemm 4 be ssfed d d If he followg egrls exs ( G(, = e τ ξ (, τ d τ, π ξ (, τ = cos xξ( x, τ dx π u x, = cos xg, d (4 s xg (, d, s cos xg, d, s =, d for ll A > d T > here exss sequece, egrls + + for, such h he sequece of s xg, d, (5 s cos xg, d, s =, (6, he coverges probbl, uforml for x A, T u x, s he clsscl soluo o he problem ( d ( Proof Sce he egrls (5 d (6 coverges probbl uforml for x A, T, here exss subsequece b, b s, such h + b + b s b coverges wh probbl oe o uforml for x s xg, d, cos xg, d, s =,, b s A, T, Le s xg, d, cos xg, d, s =,, + b u x, = cos xg, d (7 b b B dervg (7 wh respec o x d, we esl see h u + b (, b x = + ξ ( τ b cos xg, d cos x, d, π u b ( x, b + b b = cos xg (, d, b 3

6 Y Kozcheo, A Slv-Tlshch >, x R Sce for uforml for x Ideed, A, T ub x, u x, = + cos, d, u b ( x, b b x ξ ( τ x π b coverges o (, u x wh probbl oe, we coclude h u x, = + π cos xg, d cos x, d (, u x = + x, ξ ( τ ξ ( x, ( x, ub, d u x, coverges o u x, ssfes Equo ( Lemm 5 [9] Le ξ be rdom feld, smple cou from he spce Sub ϕ ( Ω Le B( xvs,,, be he correlo fuco of he feld ξ ( x, For ll >, s > ssume h: B( xvs,,, The dervves (,,, v l m, =,, 4, l+ m= exs; B xvs dd xv B (, l, m <, =,, 4, l+ m = l m v (,,, B xvs 3, =,, 4, l+ m=, x or v l m v The Lebesgue egrls s xg (, d, s exs wh probbl oe Proof We shll prove he exsece of he egrl cos xg, d, s =, cos xg (, d For exsece of hs egrl wh probbl oe s eough o prove h here exss followg egrl There s equl Cosder EG, d ( ( (, E G = π EG, d E G, d ( τ ( s ( τ ( e e Eξ, τ ξ s, dτds = E ( ξ(, τ ξ(, s = cosxcos v ξ( x, τξ ( v, s dxdv π = π cosxcos vb x,, v, s dxd v Iegrg b prs d usg he codos of he lemm, we ob for 33

7 Y Kozcheo, A Slv-Tlshch The Therefore (,,, 4 cosxcosv B xvs E( ξ (, τ ξ ( s, = dd xv 4 s π v ( 4,, (,,, 4 B xvs E( ξ (, τ ξ ( s, = dd xv π ( E( G(, 4 s v B 4 π ( τ ( τ = B 4 ( 4,, e e dτ ds π = B(4,, e 4 8 π E G B (, d ( 4,, ( e π d for The ler egrl coverges uder R cos xg, d c be proved smlrl Lemm 6 [5] Le fuco X (, u sup X ( λ, u B; u<, λ< (, (, fuco such h The exsece of egrls λ, λ > d u > be such h: X λ u X λ v Cλ u v for ll u >, ϕ λ > for ll cos v > ϕ( λ+ v The X ( λ, u X ( λ, v mx ( C, B ϕ + v u v for ll λ d v > v > Le λ >, d he fuco Corollr Le he codos of Lemm 6 he fuco ϕ( λ ( l ( λ ( λ, ( λ, mx (, s xg, d, ϕ λ, λ > be couous cresg λϕ λ s cresg for λ > v, d for some ( l ( λ + e X u X v C B l + e u v for ll > Proof Ideed, s es o show h he fuco λϕ λ creses wh v e >, we ob he equl 8 = +, λ >, > The = Therefore Lemm 6 g fuco ϕ( λ ( l ( λ (8 = + λ >, 34

8 Y Kozcheo, A Slv-Tlshch Corollr ( ( e mx, cosx cosx ( l ( + e l ( ( l + e l x x + e + e (9 ( for some > Remr If he codos of Corollr h, x x h, he for suffcel smll h equl (9 d ( wll hve he form Le + ( u x, = cos xg, d, ( l ( + e ( l ( h + e e mx, ( l ( + e l ( h + e cosx cos x + ( u x, = s xg, d, + ( u x, = cos xg, d, Theorem 6 Le ξ ( x, be rdom feld, smple couous wh probbl oe from he he codos of Lemm 4 d Lemm 5 hold, For,, h, moreover, ( ( ( u x u ( x σ h sup τ,,, ϕ x x h, h Sub ϕ Ω d =, where σ ( h s moooe cresg couous fuco such h ( h u =, d σ where ψ ( u ( φ ( u Exmple Le ( x + ( ( ε σ s ψ l ( dε <, ( σ ( ε s he verse fuco o σ ( ε The he fuco (, ϕ be fuco such h ( x u x whch s represeed he form (4 s clsscl soluo o he problems ( d ( Proof Ths heorem follows from Theorems 5 d 3 p ϕ = x, for some p > d ll x > The ψ ( x p = x for x > d codo ( holds for ll ε > Codo ( holds f ( h + p l ( dε < ( σ ( ε C σ =, for > p, l h 35

9 Y Kozcheo, A Slv-Tlshch C >, =,, I hs cse, he codo of Theorem 6 s ssfed f for =,, here exs coss C > such h For (, (, l h E u x u x C, (3 > p ll =,,, d suffcel smll h ξ x, be rdom feld, smple couous wh probbl oe from he spce Theorem 7 Le SSub ϕ ( Ω, where ϕ ( x s fuco such h ( x dos of Lemm 4 d Lemm 5 hold d ξ( x, τ E dx< θ for some p φ = x for some p > d ll x > d he co- E ξ x, τ dx< θ θ >, θ >, ξ( x, τ E dx< θ, θ > The he fuco (, ed he form (4 s clsscl soluo o he problems ( d ( Proof I follows from Lemm 5 h here exs egrls wh probbl oe s xg (, d s, Accordg o Theorem 5 o me he fuco (, cos xg, d, s =, u x whch s represe- u x be he soluo of problems ( d ( s suffce o prove h egrls (5 d (6 coverge uforml probbl x A, T o he egrls s xg (, d s, cos xg, d, s =,, for A >, T > Accordg o Theorem 6, usg he Exmple (, o me egrl (5 d (6 coverge C T he followg codos mus hold probbl ( C E u x, u (,, x l h =,, Usg geerlzed Movsoho equl we ob ( E u ( x, u, x = E cos xg (, d cos xg (, d = E cos xg (, cos xg (, d = E ( cosx cos x G (, + ( G (, G (, cosx d ( cosx cos x E G, + EG, G, d Le x x h d for suffcel smll h, usg he equl (, we hve (4 36

10 Y Kozcheo, A Slv-Tlshch Cosder ( l ( + e l ( h + e cosx cos x ( τ ( ( = ( G, e Eξ, τ d τ π (5 I follows from Lemm 4 h Therefore Le ( ξ ( τ = ξ( τ E, E cos x x, dx π < π ( τ ( EG( θ < he EG(, G(, ( θ π ( ξ( τ E x, dx θ, e d e (6 τ π π ( τ ( e (, d e τ = E ξ τ τ ξ (, τ dτ π ( τ ( τ ( τ ( τ = E e e e ξ (, τ dτ + e ξ (, τ dτ π π ( τ ( τ ( E ( ( τ e e ξ, τ dτ + e E ξ, τ d τ Le h d for suffcel smll h, usg he equl (9, we hve Therefore ( ( l ( + e τ τ τ τ τ = ( e e e e e mx, l ( EG(, G(, ( l ( e τ ( τ ( θ τ + e mx, d e d π + θ τ l h ( l ( e θ + mx (, e τ = e d τ π + l h Thus we ob from (4, (5, (6 d (7 h ( h (7 37

11 Y Kozcheo, A Slv-Tlshch ( E u ( x, u, x ( ( ( ( ( ( ( τ ( θ l + e l + e e mx, e e dτ d π + + l h l h ( ( ( = + h h θ l + e l + e e mx, e π l l θ = + π ( ( ( I I ( ( ( τ ( + ( τ e dτ d θ l + e l + e = e mx, e e dτ d π + + l l h h θ ( l ( + e ( l ( + e ( τ + e + mx (, e + e π dτ d l h l h Cosder ( ( ( ( ( τ l + e l + e I = e + mx, e + e dτ d l h l h ( l ( e mx (, l ( e ( τ + + = e d e d e d d + τ l h + l h ( = mx, I + I + I l h l h 3 Sce e T, we hve ( l ( + e = ( ( + = I e d T l e d TC ( l ( + e = ( ( + = I e d T l e d TC Usg h So we hve ( τ e, h, he he > d for suffcel smll h, we hve ( τ I3 = e dτ d ( d h l h ( ( I TC + mx, TC + l h 38

12 ( ( Y Kozcheo, A Slv-Tlshch ( ( ( τ l + e l + e I = e mx, e e dτ + + d l l h h ( l ( + e mx (, ( l ( + e ( τ = e d e d e dτ d + l h + l h mx, = I + I + I l h l h 3 ( l ( + e ( l ( + e I = e d d = C ( l ( + e ( l ( + e = = I e d d C mx, l + e mx, τ ( τ τ = ( = ( e d d e d d C3 l h l h + mx, + The for > p, we hve l h Therefore I C ( ( C C 3 (, (, l h E u x u x C, where θ C = TC + mx (, TC + + ( C + mx (, ( C + C3, Cj, =,, j =,, 3 re some coπ ss Cosder ( E u x, u (, s (, d s (, d x E xg x G = From Lemm 4, we ob = E s xg (, s xg (, d = E ( sx s x G (, + ( G (, G (, sx d ( sx sx EG(, + EG, G, d ( = + sx s x EG, EG, G, d ( τ ( ( ( G, e Eξ, τ d τ π 39

13 Y Kozcheo, A Slv-Tlshch Smlrl ( ξ( τ = ξ( τ E, E cos x x, dx π ( C E u x, u (,, x l h ( x, τ ( x, τ ξ E sx dx π ξ E d x< θ π π θ where C = TC + mx (, TC + + ( C + mx (, ( C + C3 coss Cosder, Cj, =,, j =,, 3 re some π ( E u ( x, u, x = E cos xg (, d cos xg (, d E cos xg (, cos xg (, d = = ( cos cos (, + ( (, (, cos d E x x G G G x From Lemm 4 we ob ( cosx cosx EG(, + EG, G, d 4 4 ( = + cosx cos x EG, EG, G, d ( τ ( ( ( 4 4 G, e Eξ, τ d τ π 4 ( ξ( τ = ξ( τ E, E cos x x, dx π ξ( x, τ E cosx dx π ξ( x, τ E d x< θ π π 33

14 Y Kozcheo, A Slv-Tlshch ( The ( C E u x, u (,, x l h θ where C = TC + mx (, TC + + ( C + mx (, ( C + C3 coss π C, =,, j =,, 3 re some j 4 Esmes of he Dsrbuo of he Supremum of Soluo Theorem 8 [9] Le T > Assume h X X (, T where ( h R be he -dmesol spce, d ( s, mx s = { } s seprble d X Sub ϕ =, T { T,,,, } Ω If sup τ φ d ( s, h σ s moooe cresg couous fuco such h ( h ψ l ( dε <, where ψ + σ ( ε P{ sup X( u} Auθ (, θ T ( u = u u d σ φ >, for ll < < d Theorem 9 Le he codos of Theorem 6 hold where I u > θ ( ( ε ϕ ( θε ( θ = =, ( X ( X ( s σ ( h σ s h, d, s he verse fuco o σ ( ε The, where Au (, θ = exp ϕ u( θ I φ ( θε, ε θ ( EX( ε = sup, T T I ϕ = ψ l ( + d ε = σ ( ε u x, = cos xg, d ( G(, = e τ ξ (, τ d τ, π ξ (, τ = cos xξ( x, τ dx π ( x, D, D= [ AA, ] [, T] The for ll < θ < d I u > θ ϕ ( θε ( θ P sup u( x, > u Auθ (,, ( x, D, where Au (, θ = exp ϕ u( θ I ϕ ( θε, ε θ 33

15 Y Kozcheo, A Slv-Tlshch ε = ( x, D ( Eu( x sup,, θε T A I φ ( θε = ψ l ( + + l ( + d ε, σ ε σ ( ε where σ ( ε s moooe cresg couous fuco such h he verse fuco o σ ( ε Proof Ths heorem follows from Theorem 8 σ ε s ε, d σ ( ( ε s Refereces [] de Fere, K (96 Sscl Mechcs of Couous Med Proceedgs of Smpos Appled Mhemcs, Amerc Mhemcl Soce, Provdece, [] Besebev, E d Kozcheo, YuV (979 Uform Covergece Probbl of Rdom Seres, d Soluos of Boudr Vlue Problems wh Rdom Il Codos Theor of Probbl d Mhemcl Sscs,, 9-3 [3] Buldg, VV d Kozcheo, YuV (979 O Queso of he Applcbl of he Fourer Mehod for Solvg Problems wh Rdom Boudr Codos Rdom Processes Problems Mhemcl Phscs, Acdem of Sceces of UrSSR, Isue of Mhemcs, Kuv, 4-35 [4] de L Krus, EB d Kozcheo, YuV (995 Boudr-Vlue Problems for Equos of Mhemcl Phscs wh Srcl Orlcs Rdom Il Codos Rdom Operors d Sochsc Equos, 3, - hp://dxdoorg/55/rose99533 [5] Kozcheo, YuV d Edzhrgl (994 Jusfco of Applcbl of he Fourer Mehod o he Boudr-Vlue Problems wh Rdom Il Codos I Theor of Probbl d Mhemcl Sscs, 5, [6] Kozcheo, YuV d Edzhrgl (994 Jusfco of Applcbl of he Fourer Mehod o he Boudr-Vlue Problems wh Rdom Il Codos II Theor of Probbl d Mhemcl Sscs, 53, [7] Kozcheo, YuV d Kovlchu, YA (998 Boudr Vlue Problems wh Rdom Il Codos d Seres of Fucos of Sub φ (Ω Ur Mhemcl Jourl, 5, [8] Dovg, BV, Kozcheo, YuV d Slv-Tlshch, GI (8 The Boudr-Vlue Problems of Mhemcl Phscs wh Rdom Fcors Kv Uvers, Kv, 73 p (Ur [9] Kozcheo, YuV d Slv, GI (4 Jusfco of he Fourer Mehod for Hperbolc Equos wh Rdom Il Codos Theor of Probbl d Mhemcl Sscs, 69, hp://dxdoorg/9/s [] Slv, AI ( A Boudr-Vlue Problem of he Mhemcl Phscs wh Rdom Ils Codos Bulle of Uvers of Kv Seres: Phscs & Mhemcs, 5, 7-78 [] Slv-Tlshch, AI ( Jusfco of he Fourer Mehod for Equos of Homogeeous Srg Vbro wh Rdom Il Codos Ales Uverss Scerum Budpesess de Roldo Eövös Nome Seco Mhemc, 38, -3 [] Kozcheo, YV d Slv, GI (7 Modellg Soluo of Hperbolc Equo wh Rdom Il Codos Theor Probbl d Mhemcl Sscs, 74, [3] Tlshch, AIS ( Smulo of Vbros of Recgulr Membre wh Rdom Il Codos Ales Mhemce d Iformce, 39, [4] Dovg, BV d Kozcheo, YV (5 The Codo for Applco of Foure Mehod o he Soluo of Nogomogeeous Srg Oscllo Equo wh φ-subgussrgh Hd Sde Rdom Operors d Sochsc Equos, 3, 8-96 [5] Kozcheo, YV d Veresh, KJ ( The He Equo wh Rdom Il Codos from Orlcz Spce Theor of Probbl d Mhemcl Sscs, 8, 7-84 hp://dxdoorg/9/s [6] Kozcheo, YV d Veresh, KJ ( Boudr-Vlue Problems for Nohomogeeous Prbolc Equo wh Orlcz Rgh Sde Rdom Operors d Sochsc Equos, 8, 97-9 hp://dxdoorg/55/rose5 [7] Agulo, JM, Ruz-Med, MD, Ah, VV d Grecsch, W ( Frcol Dffuso d Frcol He Equo Advces Appled Probbl, 3, hp://dxdoorg/39/p/ [8] Kozcheo, YV d Leoeo, GM (6 Exreml Behvor of he He Rdom Feld Exremes, 8, 9-5 hp://dxdoorg/7/s

16 Y Kozcheo, A Slv-Tlshch [9] Begh, L, Kozcheo, Y, Orsgher, E d Sho, L (7 O he Soluo of Ler Odd-Order He-Tpe Equos wh Rdom Il Jourl of Sscl Phscs, 7, hp://dxdoorg/7/s x [] Rov NE, Shuhov, AG d Suhov, YM (99 Sblzo of he Sscl Soluo of he Prbolc Equo Ac Applcde Mhemce,, 3-5 [] Buldg, VV d Kozcheo, YV ( Merc Chrcerzo of Rdom Vrbles d Rdom Processes Amerc Mhemcl Soce, Rhode [] Ao, RG, Kozcheo, Y d N, T (3 Spces of φ-subguss Rdom Vrbles Memore d Memc e Applczo, Accdem Nzole delle Scze de de XL, Vol 7, 95-4 [3] Krsosels, MA d Ruc, YB (96 Covex Fucos d Orlcz Spces Noordhof, Gröge [4] Kozcheo, YV d Osrovsj, EV (986 Bch Spces of Rdom Vrbles of Sub-Guss Tpe Theor of Probbl d Mhemcl Sscs, 53, 4-53 [5] Mrovch, BM ( Equos of Mhemcl Phscs Lvv Polechc Publshg House, Lvv, 384 p (Ur [6] Budl, AM ( Fourer Seres d Iegrls S Peersburg, 37 p 333

17

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION

STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION The Bk of Thld Fcl Isuos Polcy Group Que Models & Fcl Egeerg Tem Fcl Mhemcs Foudo Noe 8 STOCHASTIC CALCULUS I STOCHASTIC DIFFERENTIAL EQUATION. ก Through he use of ordry d/or prl deres, ODE/PDE c rele

More information

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh

More information

The Existence and Uniqueness of Random Solution to Itô Stochastic Integral Equation

The Existence and Uniqueness of Random Solution to Itô Stochastic Integral Equation Appled Mhemcs,, 3, 8-84 hp://dx.do.org/.436/m..379 Pulshed Ole July (hp://www.scrp.org/jourl/m) The Exsece d Uqueess of Rdom Soluo o Iô Sochsc Iegrl Equo Hmd Ahmed Alff, Csh Wg School of Mhemcs d Iformo

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

An improved Bennett s inequality

An improved Bennett s inequality COMMUNICATIONS IN STATISTICS THEORY AND METHODS 017,VOL.0,NO.0,1 8 hps://do.org/10.1080/0361096.017.1367818 A mproved Bee s equly Sogfeg Zheg Deprme of Mhemcs, Mssour Se Uversy, Sprgfeld, MO, USA ABSTRACT

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

NONLINEAR SYSTEM OF SINGULAR PARTIAL DIFFERENTIAL EQUATIONS

NONLINEAR SYSTEM OF SINGULAR PARTIAL DIFFERENTIAL EQUATIONS Jourl of Mhemcl Sceces: dvces d pplcos Volume 43, 27, Pges 3-53 vlble hp://scefcdvces.co. DOI: hp://d.do.org/.8642/ms_72748 OLIER SYSTEM OF SIGULR PRTIL DIFFERETIL EQUTIOS PTRICE POGÉRRD Mhemcs Lborory

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions Reserch Ivey: Ieriol Jourl Of Egieerig Ad Sciece Vol., Issue (April 3), Pp 8- Iss(e): 78-47, Iss(p):39-6483, Www.Reserchivey.Com Exisece Of Soluios For Nolier Frciol Differeil Equio Wih Iegrl Boudry Codiios,

More information

Isotropic Non-Heisenberg Magnet for Spin S=1

Isotropic Non-Heisenberg Magnet for Spin S=1 Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information

Modified Taylor's Method and Nonlinear Mixed Integral Equation

Modified Taylor's Method and Nonlinear Mixed Integral Equation Uversl Jourl of Iegrl quos 4 (6), 9 wwwpperscecescom Modfed Tylor's Mehod d oler Mxed Iegrl quo R T Moog Fculy of Appled Scece, Umm Al Qurh Uversy Mkh, Kgdom of Sud Ar rmoog_777@yhoocom Asrc I hs pper,

More information

The Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces

The Products of Regularly Solvable Operators with Their Spectra in Direct Sum Spaces Advces Pure Mhemcs 3 3 45-49 h://dxdoorg/436/m3346 Pulshed Ole July 3 (h://wwwscrorg/ourl/m) he Producs of Regulrly Solvle Oerors wh her Secr Drec Sum Sces Sohy El-Syed Irhm Derme of Mhemcs Fculy of Scece

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25 Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

Available online through

Available online through Avlble ole through wwwmfo FIXED POINTS FOR NON-SELF MAPPINGS ON CONEX ECTOR METRIC SPACES Susht Kumr Moht* Deprtmet of Mthemtcs West Begl Stte Uverst Brst 4 PrgsNorth) Kolt 76 West Begl Id E-ml: smwbes@yhoo

More information

Application of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations

Application of Multiple Exp-Function Method to Obtain Multi-Soliton Solutions of (2 + 1)- and (3 + 1)-Dimensional Breaking Soliton Equations Amerc Jourl of Compuol Appled Mhemcs: ; (: 4-47 DOI:.593/j.jcm..8 Applco of Mulple Exp-Fuco Mehod o Ob Mul-Solo Soluos of ( + - (3 + -Dmesol Breg Solo Equos M. T. Drvsh,*, Mlheh Njf, Mohmmd Njf Deprme

More information

Nield- Kuznetsov Functions of the First- and Second Kind

Nield- Kuznetsov Functions of the First- and Second Kind IOSR Jourl of led Phscs IOSR-JP e-issn: 78-486.Volue 8 Issue Ver. III M. - Ju. 6 PP 47-56.osrourls.or S.M. lzhr * I. Gdour M.H. Hd + De. of Mhecs d Sscs Uvers of Ne rusc P.O. ox 55 S Joh Ne rusc CND EL

More information

Introduction to Neural Networks Computing. CMSC491N/691N, Spring 2001

Introduction to Neural Networks Computing. CMSC491N/691N, Spring 2001 Iroduco o Neurl Neorks Compug CMSC49N/69N, Sprg 00 us: cvo/oupu: f eghs: X, Y j X Noos, j s pu u, for oher us, j pu sgl here f. s he cvo fuco for j from u o u j oher books use Y f _ j j j Y j X j Y j bs:

More information

A NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER

A NEW FIVE-POINT BINARY SUBDIVISION SCHEME WITH A PARAMETER Jourl of ure d Appled Mhemcs: Advces d Applcos Volume 9 Numer ges -9 Avlle hp://scefcdvcesco DOI: hp://dxdoorg/6/ms_9 A NEW FIVE-OINT BINARY UBDIVIION CHEME WITH A ARAMETER YAN WANG * d HIMING LI chool

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

Unscented Transformation Unscented Kalman Filter

Unscented Transformation Unscented Kalman Filter Usceed rsformo Usceed Klm Fler Usceed rcle Fler Flerg roblem Geerl roblem Seme where s he se d s he observo Flerg s he problem of sequell esmg he ses (prmeers or hdde vrbles) of ssem s se of observos become

More information

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc

More information

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl

More information

Through the fractional Riemann Liouville integral x

Through the fractional Riemann Liouville integral x Volue 7 Issue 5 M 7 ISSN: 77 8X Ierol ourl o Advced Reserch Copuer Scece d Sowre geerg Reserch Pper Avlle ole : wwwjrcsseco se he Soluo o Frcol erel quos wh Trscedel Fucos Mukesh Grover r Aru Kur Toer

More information

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use

More information

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients

Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos

More information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

The z-transform. LTI System description. Prof. Siripong Potisuk

The z-transform. LTI System description. Prof. Siripong Potisuk The -Trsform Prof. Srpog Potsuk LTI System descrpto Prevous bss fucto: ut smple or DT mpulse The put sequece s represeted s ler combto of shfted DT mpulses. The respose s gve by covoluto sum of the put

More information

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity

Bianchi Type II Stiff Fluid Tilted Cosmological Model in General Relativity Ieraoal Joural of Mahemacs esearch. IN 0976-50 Volume 6, Number (0), pp. 6-7 Ieraoal esearch Publcao House hp://www.rphouse.com Bach ype II ff Flud led Cosmologcal Model Geeral elay B. L. Meea Deparme

More information

Expectation and Moments

Expectation and Moments Her Sr d Joh W. Woods robbl Sscs d Rdom Vrbles or geers 4h ed. erso duco Ic.. ISB: 978----6 Cher 4 eco d omes Secos 4. eced Vlue o Rdom Vrble 5 O he Vld o quo 4.-8 8 4. Codol ecos Codol eco s Rdom Vrble

More information

On Several Inequalities Deduced Using a Power Series Approach

On Several Inequalities Deduced Using a Power Series Approach It J Cotemp Mth Sceces, Vol 8, 203, o 8, 855-864 HIKARI Ltd, wwwm-hrcom http://dxdoorg/02988/jcms2033896 O Severl Iequltes Deduced Usg Power Seres Approch Lored Curdru Deprtmet of Mthemtcs Poltehc Uversty

More information

BEST PATTERN OF MULTIPLE LINEAR REGRESSION

BEST PATTERN OF MULTIPLE LINEAR REGRESSION ERI COADA GERMAY GEERAL M.R. SEFAIK AIR FORCE ACADEMY ARMED FORCES ACADEMY ROMAIA SLOVAK REPUBLIC IERAIOAL COFERECE of SCIEIFIC PAPER AFASES Brov 6-8 M BES PAER OF MULIPLE LIEAR REGRESSIO Corel GABER PEROLEUM-GAS

More information

ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION

ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION N.S. BARNETT, S.S. DRAGOMIR, AND G. HANNA Absrc. I his pper we poi ou pproximio for he Fourier rsform for fucios

More information

Council for Innovative Research Peer Review Research Publishing System

Council for Innovative Research Peer Review Research Publishing System ISSN 47-9 Oscllo Crer For Eve Order Noler Nerl Dfferel Eos Wh Med Argmes ABSTRACT E Thd SPdmvh S Pels Rmj Ise for Advced Sd Mhemcs Uvers of Mdrs Che 600 005 Id ehd@hooco Acdem Mlr Dermeo de Cêcs Ecs e

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.

More information

ICS141: Discrete Mathematics for Computer Science I

ICS141: Discrete Mathematics for Computer Science I Uversty o Hw ICS: Dscrete Mthemtcs or Computer Scece I Dept. Iormto & Computer Sc., Uversty o Hw J Stelovsy bsed o sldes by Dr. Be d Dr. Stll Orgls by Dr. M. P. Fr d Dr. J.L. Gross Provded by McGrw-Hll

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ]

Area and the Definite Integral. Area under Curve. The Partition. y f (x) We want to find the area under f (x) on [ a, b ] Are d the Defte Itegrl 1 Are uder Curve We wt to fd the re uder f (x) o [, ] y f (x) x The Prtto We eg y prttog the tervl [, ] to smller su-tervls x 0 x 1 x x - x -1 x 1 The Bsc Ide We the crete rectgles

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

G1-Renewal Process as Repairable System Model

G1-Renewal Process as Repairable System Model G-Reewl Process s Reprble Sysem Model M.P. Kmsky d V.V. Krvsov Uversy of Mryld College Prk USA Ford Moor Compy Derbor USA Absrc Ths pper cosders po process model wh moooclly decresg or cresg ROCOF d he

More information

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China,

VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS. Hunan , China, Mahemacal ad Compuaoal Applcaos Vol. 5 No. 5 pp. 834-839. Assocao for Scefc Research VARIATIONAL ITERATION METHOD FOR DELAY DIFFERENTIAL-ALGEBRAIC EQUATIONS Hoglag Lu Aguo Xao Yogxag Zhao School of Mahemacs

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Research Article Oscillatory Criteria for Higher Order Functional Differential Equations with Damping

Research Article Oscillatory Criteria for Higher Order Functional Differential Equations with Damping Journl of Funcon Spces nd Applcons Volume 2013, Arcle ID 968356, 5 pges hp://dx.do.org/10.1155/2013/968356 Reserch Arcle Oscllory Crer for Hgher Order Funconl Dfferenl Equons wh Dmpng Pegung Wng 1 nd H

More information

Certain sufficient conditions on N, p n, q n k summability of orthogonal series

Certain sufficient conditions on N, p n, q n k summability of orthogonal series Avilble olie t www.tjs.com J. Nolier Sci. Appl. 7 014, 7 77 Reserch Article Certi sufficiet coditios o N, p, k summbility of orthogol series Xhevt Z. Krsiqi Deprtmet of Mthemtics d Iformtics, Fculty of

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

A MODIFIED CHI-SQUARED GOODNESS-OF-FIT TEST FOR THE KUMARASWAMY GENERALIZED INVERSE WEIBULL DISTRIBUTION AND ITS APPLICATIONS

A MODIFIED CHI-SQUARED GOODNESS-OF-FIT TEST FOR THE KUMARASWAMY GENERALIZED INVERSE WEIBULL DISTRIBUTION AND ITS APPLICATIONS Jourl of Sscs: Advces Theory d Applcos Volume 6 Number 06 Pges 75-305 Avlble hp://scefcdvces.co. DOI: hp://dx.do.org/0.864/js_700749 A MODIFIED CHI-SQUARED GOODNESS-OF-FIT TEST FOR THE KUMARASWAMY GENERALIZED

More information

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction

Determination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad

More information

Sequences and summations

Sequences and summations Lecture 0 Sequeces d summtos Istructor: Kgl Km CSE) E-ml: kkm0@kokuk.c.kr Tel. : 0-0-9 Room : New Mleum Bldg. 0 Lb : New Egeerg Bldg. 0 All sldes re bsed o CS Dscrete Mthemtcs for Computer Scece course

More information

A Consecutive Quasilinearization Method for the Optimal Boundary Control of Semilinear Parabolic Equations

A Consecutive Quasilinearization Method for the Optimal Boundary Control of Semilinear Parabolic Equations Appled Maheacs 4 5 69-76 Publshed Ole March 4 ScRes hp://wwwscrporg/joural/a hp://dxdoorg/436/a45467 A Cosecuve Quaslearzao Mehod for he Opal Boudar Corol of Selear Parabolc Equaos Mohaad Dehgha aer *

More information

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n

= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n .. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

We will begin by supplying the proof to (a).

We will begin by supplying the proof to (a). (The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce

More information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants

Fibonacci and Lucas Numbers as Tridiagonal Matrix Determinants Rochester Isttute of echology RI Scholr Wors Artcles 8-00 bocc d ucs Nubers s rdgol trx Deterts Nth D. Chll Est Kod Copy Drre Nry Rochester Isttute of echology ollow ths d ddtol wors t: http://scholrwors.rt.edu/rtcle

More information

Abstract. 1. Introduction

Abstract. 1. Introduction Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3 The Cumulive Disribuio Fucio (cd) ONE RANDOM VARIABLE cd is deied s he probbiliy o he eve { x}: F ( ) [ ] x P x x - Applies o discree s well s coiuous RV. Exmple: hree osses o coi x 8 3 x 8 8 F 3 3 7 x

More information

Schrödinger s Cat Paradox Resolution Using GRW Collapse Model: Von Neumann Measurement Postulate Revisited

Schrödinger s Cat Paradox Resolution Using GRW Collapse Model: Von Neumann Measurement Postulate Revisited Jourl of Apple Mhemcs Physcs 7 5 494-5 hp://wwwscrporg/jourl/jmp SSN Ole: 37-4379 SSN Pr: 37-435 Schröger s C Prox Resoluo Usg GRW Collpse Moel: Vo Neum Mesureme Posule Revse Jykov Foukzo Alex Popov Ele

More information

Analysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag

Analysis of the Preference Shift of. Customer Brand Selection. and Its Matrix Structure. -Expansion to the second order lag Jourl of Compuo & Modellg vol. o. 6-9 ISS: 79-76 (pr) 79-88 (ole) Scepre Ld l of he Preferece Shf of Cuomer Brd Seleco d I Mr Srucure -Epo o he ecod order lg Kuhro Teu rc I ofe oerved h coumer elec he

More information

Partial Molar Properties of solutions

Partial Molar Properties of solutions Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n

10.2 Series. , we get. which is called an infinite series ( or just a series) and is denoted, for short, by the symbol. i i n 0. Sere I th ecto, we wll troduce ere tht wll be dcug for the ret of th chpter. Wht ere? If we dd ll term of equece, we get whch clled fte ere ( or jut ere) d deoted, for hort, by the ymbol or Doe t mke

More information

The Infinite NHPP Software Reliability Model based on Monotonic Intensity Function

The Infinite NHPP Software Reliability Model based on Monotonic Intensity Function Id Jourl of Scece d Techology, Vol 8(4), DOI:.7485/js/25/v84/68342, July 25 ISSN (Pr) : 974-6846 ISSN (Ole) : 974-5645 The Ife Sofwre Relly Model sed o Moooc Iesy Fuco Te-Hyu Yoo * Deprme of Scece To,

More information

An Exact Solution for the Differential Equation. Governing the Lateral Motion of Thin Plates. Subjected to Lateral and In-Plane Loadings

An Exact Solution for the Differential Equation. Governing the Lateral Motion of Thin Plates. Subjected to Lateral and In-Plane Loadings Appled Mahemacal Sceces, Vol., 8, o. 34, 665-678 A Eac Soluo for he Dffereal Equao Goverg he Laeral Moo of Th Plaes Subjeced o Laeral ad I-Plae Loadgs A. Karmpour ad D.D. Gaj Mazadara Uvers Deparme of

More information

The Lucas congruence for Stirling numbers of the second kind

The Lucas congruence for Stirling numbers of the second kind ACTA ARITHMETICA XCIV 2 The Luc cogruece for Srlg umber of he ecod kd by Robero Sáchez-Peregro Pdov Iroduco The umber roduced by Srlg 7 h Mehodu dfferel [], ubequely clled Srlg umber of he fr d ecod kd,

More information

13. DYNAMIC ANALYSIS USING MODE SUPERPOSITION

13. DYNAMIC ANALYSIS USING MODE SUPERPOSITION . DYAMI AALYI UIG MODE UPEPOIIO he Mode hes used o Ucoule he Dmc Equlrum Equos eed o Be he Exc Free-Vro Mode hes. EQUAIO O BE OLVED { XE "Mode hes" }{ XE "Mode ueroso Alss" }{ XE "Pece-Wse Ler Lodg" }he

More information

I I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8

I I M O I S K J H G. b gb g. Chapter 8. Problem Solutions. Semiconductor Physics and Devices: Basic Principles, 3 rd edition Chapter 8 emcouc hyscs evces: Bsc rcles, r eo Cher 8 oluos ul rolem oluos Cher 8 rolem oluos 8. he fwr s e ex f The e ex f e e f ex () () f f f f l G e f f ex f 59.9 m 60 m 0 9. m m 8. e ex we c wre hs s e ex h

More information

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006)

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006) UNIVERSITY OF BRISTOL Exmitio for the Degrees of B.Sc. d M.Sci. (Level C/4) ANALYSIS B, SOLUTIONS MATH 6 (Pper Code MATH-6) My/Jue 25, hours 3 miutes This pper cotis two sectios, A d B. Plese use seprte

More information

Review of the Riemann Integral

Review of the Riemann Integral Chpter 1 Review of the Riem Itegrl This chpter provides quick review of the bsic properties of the Riem itegrl. 1.0 Itegrls d Riem Sums Defiitio 1.0.1. Let [, b] be fiite, closed itervl. A prtitio P of

More information

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

A NOTE ON THE APPLICATION OF THE GUERMOND-PASQUETTI MASS LUMPING CORRECTION TECHNIQUE FOR CONVECTION-DIFFUSION PROBLEMS ( ) SERGII V.

A NOTE ON THE APPLICATION OF THE GUERMOND-PASQUETTI MASS LUMPING CORRECTION TECHNIQUE FOR CONVECTION-DIFFUSION PROBLEMS ( ) SERGII V. NTE N THE PPLICTIN F THE UERMND-PSQUETTI MSS LUMPIN CRRECTIN TECHNIQUE FR CNVECTIN-DIFFUSIN PRLEMS Prer submed o Elsever jourl 0 My 0 SERII V. SIRYK Nol Teccl Uversy of Ure "Igor Sorsy Kyv Polyecc Isue",

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

More information

CURVE FITTING LEAST SQUARES METHOD

CURVE FITTING LEAST SQUARES METHOD Nuercl Alss for Egeers Ger Jord Uverst CURVE FITTING Although, the for of fucto represetg phscl sste s kow, the fucto tself ot be kow. Therefore, t s frequetl desred to ft curve to set of dt pots the ssued

More information

Calculation of Effective Resonance Integrals

Calculation of Effective Resonance Integrals Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

More information

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures

Asymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

FORCED VIBRATION of MDOF SYSTEMS

FORCED VIBRATION of MDOF SYSTEMS FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me

More information

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Extension of Hardy Inequality on Weighted Sequence Spaces

Extension of Hardy Inequality on Weighted Sequence Spaces Jourl of Scieces Islic Reublic of Ir 20(2): 59-66 (2009) Uiversiy of ehr ISS 06-04 h://sciecesucir Eesio of Hrdy Iequliy o Weighed Sequece Sces R Lshriour d D Foroui 2 Dere of Mheics Fculy of Mheics Uiversiy

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

A note on Turán number Tk ( 1, kn, )

A note on Turán number Tk ( 1, kn, ) A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

Further Results on Pair Sum Labeling of Trees

Further Results on Pair Sum Labeling of Trees Appled Mathematcs 0 70-7 do:046/am0077 Publshed Ole October 0 (http://wwwscrporg/joural/am) Further Results o Par Sum Labelg of Trees Abstract Raja Poraj Jeyaraj Vjaya Xaver Parthpa Departmet of Mathematcs

More information

Preliminary Examinations: Upper V Mathematics Paper 1

Preliminary Examinations: Upper V Mathematics Paper 1 relmr Emtos: Upper V Mthemtcs per Jul 03 Emer: G Evs Tme: 3 hrs Modertor: D Grgortos Mrks: 50 INSTRUCTIONS ND INFORMTION Ths questo pper sts of 0 pges, cludg swer Sheet pge 8 d Iformto Sheet pges 9 d 0

More information

Generalisation on the Zeros of a Family of Complex Polynomials

Generalisation on the Zeros of a Family of Complex Polynomials Ieol Joul of hemcs esech. ISSN 976-584 Volume 6 Numbe 4. 93-97 Ieol esech Publco House h://www.house.com Geelso o he Zeos of Fmly of Comlex Polyomls Aee sgh Neh d S.K.Shu Deme of hemcs Lgys Uvesy Fdbd-

More information