Fractional Lévy Cox-Ingersoll-Ross and Jacobi processes
|
|
- Ralf Richards
- 6 years ago
- Views:
Transcription
1 Holger Fik ad Georg Schlücherma Fracioal Lévy Cox-Igersoll-Ross ad Jacobi rocesses Workig Paer Number 7, 6 Ceer for Quaiaive Risk Aalysis (CEQURA) Dearme of Saisics Uiversiy of Muich h://
2 FRACTIONAL LÉVY COX-INGERSOLL-ROSS AND JACOBI PROCESSES HOLGER FINK a,, GEORG SCHLÜCHTERMANN a,b, ABSTRACT AUTHORS INFO We rove a geeral Picard-Lidelöf-ye framework for sochasic differeial equaios drive by Madelbro-Va Ness fracioal Lévy rocesses. This allows us o derive he exisece of a fracioal Lévy Cox-Igersoll-Ross ad Jacobi model wih almos surely osiive, resecively bouded, samles ahs. a Faculy of Mahemaics, Iformaics ad Saisics, Ludwig- Maximilias-Uiversiä Müche, Akademiesrasse /I, 8799 Muich, Germay b Dearme of Mechaical, Auomoive ad Aeroauical Egieerig, Uiversiy of Alied Scieces Muich, Dachauer Srasse 98b, 8335 Muich, Germay holger.fik@sa.ui-mueche.de gschluec@hm.edu 6G, 6H, 6H MSC KEYWORDS fracioal Lévy rocess, Cox-Igersoll-Ross rocess, Jacobi rocess, log memory. Iroducio Madelbro-Va Ness fracioal Lévy rocesses (MvN-fLs) have iiially bee iroduced by Marquard (6) while heir codiioal disribuios have bee aalyzed i Fik (6). Addiioally, Fik ad Klüelberg () cosidered MvN-fLdrive sochasic differeial equaios (sdes) ad cosruced exlici soluios based o he geeral idea of Doss (977), Lyos (994), Zähle (998) ad Buchma ad Klüelberg (6). However, as has bee discussed i Secio 5. of Fik ad Klüelberg (), he heory herei oly covers Cox-Igersoll-Ross (CIR) sdes like dx = X d + σ X dl d or dx = X d + σ X dl d which is o suiable for, e.g., volailiy modelig whe aimig for a fracioal versio of he classical Heso seu (cf. Heso (993)). Therefore, we would like o obai a exisece ad uiqueess resul regardig a sricly osiive soluio of he geeral MvN-fL CIR sde give by dx = ()(θ() X )d + σ() X dl d, [,T ], X = x >. () For a fracioal Browia moio (fbm) as a drivig rocess, his has recely bee solved by Schlücherma ad Yag (6). I aricular, due o he fac ha fbm has zero quadraic variaio, oly ()θ() > is eeded o esure osiiviy of a soluio similar o he resul which we will obai below. Addiioally ad of ieres for sochasic correlaio models we shall cosider a fracioal versio of he (quie similar) Jacobi sde as well, i.e. dx = ()(θ() X )d + σ() X X dl d, [,T ], X = x >. () Throughou he aer, we will work o a comlee robabiliy sace (Ω,F,P) wih a give square-iegrable MvN-fL L d = (L d ) R, d (,/), wihou Gaussia ar i he sese of Marquard (6). I aricular, oly he log memory case is icluded as ahs of L d are a.s. Hölder coiuous u uil d (cf. Theorem 4.3 (i) of Marquard (6)). Addiioally, o esure he exisece of iegrals, oly MvN-fLs wih bouded -variaio for <, similar o Fik ad Klüelberg (), are cosidered. Therefore, from ow o, iegraio shall be udersood i he ahwise Riema-Sieljes sese (cf. Youg (936)). Secio shall rovide a geeral framework for MvN-fL drive sdes ossibly allowig for ime-deede coefficie fucios ad herefore exedig he seu of Lyos (994). I Secio 3 we shall use hese resuls o rove ha suiable soluios o () ad () exis a.s. i he ahwise sese. A brief simulaio sudy closes he aer. Preri submied o Elsevier Augus 5, 6
3 . A geeral Picard-Lidelöf-ye framework I his secio, we wa o rove a geeral Picard-Lidelöf-ye exisece ad uiqueess resul for MvN-fL drive sdes o comac ime ses. I order o do ha, we eed a Baach sace for oeial soluios o live i: For < ad a < b, le ([a,b]) be he se of all coiuous fucios f o [a,b] wih bouded -variaio v (f,[a,b]), where W co v (f,[a,b]) = su f(x i ) f(x i ) wih he su ake over all grids of [a,b]. Alyig Mikowski s iequaliy shows ha by oiwise addiio ad scalar mulilicaio W co ([a,b]) becomes a R-vecor sace ad (v (,[a,b])) is a semiorm o W co ([a,b]) sice, obviously, we have v (f,[a,b]) = for every cosa fucio f. To overcome his roblem ad o obai a ormed vecor sace we could cosider he quoie sace W co ([a,b])/cos([a,b]) where cos([a,b]) is he vecor sace of all cosa fucios o [a,b]. This aroach however causes roblems whe cosiderig iegral equaios soluios would oly be uique u o a.s. cosa shifs. Isead we defie similar o Chisyakov ad Galki (998) a acual orm o W co ([a,b]) by = [a,b] = [a,b] su + (v (,[a,b]) ) where we will suress he [a,b] i he oaio whe he ierval is clear. Proosiio 7. of Chisyakov ad Galki (998) ow imlies ha (W co ([a,b]), ) is a Baach sace. For he cosideraios o come, we shall eed he followig echical lemma.. Lemma. Le [a,b] be a comac ierval, g W co For all x [a,b] we defie φ(x) = x a fdg. The φ Wco ([a,b]) ad f W co q ([a,b]) where q > ad wih + q >. ([a,b]). Moreover we have wih ζ deoig he Riema zea fucio v (φ,[a,b]) ({ + ζ ( + q )} v q (f,[a,b]) q + f su ) v (g,[a,b]). Proof. The firs ar follows from Theorem A.3 of Fik ad Klüelberg (). For he iequaliy, we recall ha for ad x,y R we have x + y ( x + y ) ad herefore calculae for z i [x i,x i ] [a,b] v (φ,[a,b]) = su su fdg x i x i = su fdg f(z i )[g(x i ) g(x i )] + f(z i )[g(x i ) g(x i )] x i ( (f f(z i ))dg + f(z i ) g(x i ) g(x i ) ) x i su Usig (.9) of Youg (936) we obai x i x i x i ( (f f(z i ))dg + f(z i ) g(x i ) g(x i ) ). x i su ( { + ζ ( + q )} v q (f,[x i,x i ]) q v (g,[x i,x i ]) + f su g(x i ) g(x i ) ) su ({ + ζ ( + q )} v q (f,[a,b]) q v (g,[x i,x i ]) + f su g(x i ) g(x i ) ). Fially, wih he iequaliy v (g,[x i,x i ]) v (g,[a,b]), we arrive a su ({ + ζ ( + q )} v q (f,[a,b]) q v (g,[a,b]) + f [a,b] g(x i ) g(x i ) ) which roves he asserio. = ({ + ζ ( + q )} v q (f,[a,b]) q v (g,[a,b]) + f [a,b] v (g,[a,b])) Le Li(A) be he se of all Lischiz coiuous fucios o A R. We ca sae ad rove our mai resul of his secio.
4 . Theorem. Le (L d ) R be a MvN-fL of a.s. bouded ˆ-variaio, ˆ [,), d (, ). Furhermore give < T < < T < le µ(,), σ(,) Li(R) for all [T,T ] ad µ(,z), σ(,z) Li([T,T ]) for all z R, where he Lischiz cosas shall be ideede of ad z, resecively. The for all ˆ < < ad x R he sochasic differeial equaio has a uique ahwise soluio i W co ([T,T ]). dx = µ(,x )d + σ(,x )dl d, [T,T ], X = x Proof. The followig cosideraios will always be i he ahwise sese usig ahs of (L d ) R which are a.s. of bouded ˆ-variaio ad Hölder coiuous. However, for ease of oaio we shall suress he argume ω. Now, cosider some N > such ha vˆ (L d,[t,t ]) < N. Furhermore le K µ, C µ ad K σ, C σ be he Lischiz cosas of µ ad σ wih resec o he firs ad secod argume. Wihou loss of geeraliy, we may assume K µ = C µ ad K σ = C σ. Give suiable small δ (, ) ad r (, ) we cosider he comlee subsace ad defie he oeraor B = {Z W co ([ δ, + δ]) Z x < r} W co ([ δ, + δ]) Ψ B W co ([ δ, + δ]), Ψ(Z) = x + µ(s,z s )ds + σ(s,z s )dl d s The firs iegral o he righ had side is differeiable i is uer boud ad hus of fiie variaio while he secod iegral is of bouded -variaio by Lemma. sice v (σ(,z )) = [su σ( i+,z i+ ) σ( i,z i ) ] [C σ su Z i+ Z i + C σ su [su σ( i+,z i+ ) σ( i+,z i ) + σ( i+,z i ) σ( i,z i ) ] i+ i ] C σ v (Z ) + 4Cσ δ <. Therefore, we ca coclude ha Ψ is well-defied. Now, our firs aim is o show ha Ψ(B) B. By defiiio of B, here exiss some C > such ha su [ µ(,z ) + σ(,z ) ] < C. [ δ, +δ], Z B For [ δ, + δ], ivokig he Hölder coiuiy of L d (cf. Theorem 4.3 (i) of Marquard (6)) ad (3), we obai for ε > such ha + ε <, < d < d ad some s [,] Ψ(Z) x µ(s,z s )ds + σ(s,z s )dl d s δ µ(,z ) su + (σ(s,z s ) σ(s,z s ))dl d s + σ(s,z s )[L d L d ] δ µ(,z ) su + { + ζ ( + + ε )} (v (,σ(,z ))) (v+ε (L d )) +ε + σ(,z ) su C L dδ d C (δ + δ d) + { + ζ ( + + ε )} [C σv (Z ) + 4Cσ δ] C L dδ ε d +ε (v (L d )) +ε where C L d deoes he Hölder cosa of L d ad C (δ + δ d) + C (v (Z )) δ ε d +ε + C3 δ ε d +ε + (3) C = max{ C C L d, C }, C = [ + ζ ( + + ε )] C σc L dn +ε ad C 3 = 4 [ + ζ ( + + ε )] C σc L dn +ε. Sice his uer boudary does o deed o, we ca coclude ha Ψ(Z) x su C (δ + δ d) + C (v (Z )) δ ε d +ε + C3 δ ε d+ +ε. (4) 3
5 Now o he oe had we have v ( µ(s,z s )ds) = (su C (su i i+ µ(s,z s )ds ) µ(,z ) su (su i+ i ) i+ i ) = C δ (5) ad o he oher had usig Lemma. ad (3) we ge for η > such ha ˆ < η v ( σ(s,z s )dl d s) ({ + ζ ( )} v (σ(,z )) + σ(,z ) su) v (L d ) ({ + ζ ( )} [C σ v (Z ) + 4Cσ δ] + C ) CL dδ η d v η (L d ) C 4 v (Z ) δ η d + C5 δ η d +η d + C6 δ (6) where C 4 = + { + ζ ( )} C σ C L dn, C5 = C C L dn ad C 6 = + { + ζ ( )} C σ C L dn. Puig (5) ad (6) ogeher, we obai ad fially v (Ψ(Z) x) C δ + C 4 v (Z ) δ η d + C5 δ η d +η d + C6 δ Ψ(Z) x C (δ + δ d) + C (v (Z )) ε δ d +ε + C3 δ ε d +ε + + C δ + C 4 v (Z ) η δ d + C5 δ η d +η d + C6 δ C (δ + δ d) + C rδ ε d +ε + C3 δ ε d +ε + + C δ + C 4 rδ η d + C5 δ η d +η d + C6 δ < r for δ small eough. Therefore we have show ha Ψ(B) B. To use Baach s fixed oi heorem i remais o rove ha for suiable small δ he oeraor Ψ becomes a coracio, i.e. we eed o show ha for Z, Y B we have Ψ(Z) Ψ(Y ) D Z Y, wih D (,). Therefore, for fixed Z, Y B we sar by observig [µ(s,z s ) µ(s,y s C µ δ Z Y su. (7) )]ds su 4
6 Addiioally, for θ > such ha θ < < + θ < ad > we esimae usig he Lischiz roery of σ +θ v +θ (σ(,z ) σ(,y )) +θ = [su [su σ( i+,z i+ ) σ( i,z i ) σ( i+,y i+ ) + σ( i,y i ) +θ ] θ Cσ Z θ Y θ su σ( i+,z i+ ) σ( i,z i ) σ( i+,y i+ ) + σ( i,y i ) ] θ θ +θ C +θ σ +θ θ +θ C +θ σ +θ θ +θ Z Y su [su σ( i+,z i+ ) σ( i,z i ) σ( i+,y i+ ) + σ( i Y,i ) ] θ +θ Z Y su [su σ( i+,z i+ ) σ( i+,z i ) σ( i+,y i+ ) + σ( i+,y i ) θ + su +θ +θ σ( i,z i ) σ( i+,z i ) σ( i,y i ) + σ( i+,y i ) ] +θ +θ Cσ Z Y su [v (Z ) + v (Y ) + δ ] +θ +θ +θ +θ+ +θ C σ Z Y su (8) where, i he las lie, we used ha Z Y su <, δ < ad v (Z ) + v (Y ) < r + r <. The laer follows by defiiio sice v (Z ) = v (Z x) Z x < r. Similar o he σ-ar of (3) ad (4) we obai via (8) wih θ as above [σ(s,z s ) σ(s,y s )]dl d s su C 7 δ θ d +θ v+θ (σ(,z ) σ(,y )) +θ + C8 δ d Z Y su C 7 δ θ d +θ Z Y su + C 8 δ d Z Y su (9) where C 7 = { + ζ ( + θ )} N +θ, C7 = C 7 +θ+ +θ C σ ad C 8 = C σ C L d. Havig he su-ar of he -orm covered, we coiue wih he -variaio by observig ha due o Lischiz coiuiy Havig (8) i mid ad usig Lemma. agai, we calculae v ( [µ(s,z s ) µ(s,y s )]ds) Cµ δ Z Y su. () v ( [σ(s,z s ) σ(s,y s )]dl d s) +θ ({ + ζ ( + θ + )} +θ v +θ (σ(,z ) σ(,y )) +θ +θ { + ζ ( + θ + +θ )} +θ+ C 9 δ η d Z Y su (+θ) C + σ(,z ) σ(,y ) su) v (L d ) σ Z Y su + C σ Z Y su C L dδ η d v η (L d ) () wih C 9 = +θ { + ζ ( + θ + )} +θ +θ+ (+θ) C σ + C σ C L dn. 5
7 Combiig (7), (9) () ad () we obai Ψ(Z) Ψ(Y ) C µ δ Z Y su + C 7 δ θ d +θ Z Y su + C 8 δ d Z Y su + C µ δ Z Y su + C 9 δ η d Z Y su [3C µ δ + C 7 δ θ d +θ + C8 δ d + C 9 δ η d ] Z Y. Choosig δ small eough we ca coclude ha Ψ is a coracio ad accordig o Baach s fixed oi heorem here exiss a uique X B wih X = x + µ(s,x s )ds + σ(s,x s )dl d s, [ δ, + δ]. As δ did o exlicily deed o we ca ierae his rocedure o obai X o he whole ierval [T,T ]. 3. Fracioal Lévy Cox-Igersoll-Ross ad Jacobi rocesses Obviously, a volailiy rocess give by σ(,z) = {z } σ() z for some σ() >, [,T ] ad z R, does o fulfill he global Lischiz assumios of Theorem 3.. However, followig he geeral idea of, e.g., Gikhma (), we ca sill use Theorem 3. i a ahwise sese ad coclude he exisece of a global, osiive, soluio o (). 3. Theorem. Le (L d ) R be a MvN-fL of a.s. bouded ˆ-variaio, ˆ [,), d (, ) ad T >. If (), θ(), σ() Li([,T ]) are sricly osiive, he he sde dx = ()(θ() X )d + σ() X dl d, [,T ], X = x > has a uique osiive soluio i W co ([,T ]) for all ˆ < <. Proof. For some (oeially ah-deede) δ >, he ahwise roof of Theorem 3. esures he exisece ad uiqueess of a soluio i [,δ]. The remaiig cosideraios shall all be resriced o some measurable se A Ω which cosiss of he L d -ahs for which he heorem does o hold. Now ake ε > ad defie a radom variable via τ ε = mi{ [,T ] X ε}. Furhermore, we se f(z) = z /. Due o he a.s. sric osiiviy of (X τε ) [,T ] i fac, (X τε ) [,T ] is bouded below by ε we ca ivoke a chai rule ad a desiy formula similar o A. ad A.3 of Fik ad Klüelberg (), o obai f(x τε ) = f(x τε ) + τ ε = X / f (X s τε )dx s τε = f(x ) + (s)θ(s)x (+/) f (X s )dx s ds + (s)x / ds Furhermore, sice he execaios below exis er defiiio, we ca deduce ha for ε small eough E [X / ] = X / E [ X / + (s)θ(s)x (+/) ds] + E [ (s)e [X / ] ds X / + ad obai by Growall s iegral iequaliy for o-decreasig fucios (s)x / ds] E [ (s)e [X / ] ds σ(s)x dl d s. σ(s)x dl d s] E [(X τε ) / ] X / ex { (s)ds}. () Fially, we ge for [,T ] via Chebyshev s iequaliy for bouded radom variables ad () P(τ ε ) = P(X τε ε) = P (X / ε / ) = P (X / ε / ) ε / X / ex { (s)ds} as ε, which allows as o coclude ha P(A) = ad X says osiive a.s. (i.e. ahwise) o [,T ]. Now, a similar heorem ca be rove for he fracioal versio of he Jacobi sde (). 3. Theorem. Le (L d ) R be a MvN-fL of a.s. bouded ˆ-variaio, ˆ [,), d (, ) ad T >. If (), θ(), σ() Li([,T ]) are sricly osiive, wih θ() (,), he he sde dx = ()(θ() X )d + σ() X X dl d, [,T ], X = x > 6
8 has a uique soluio i W co ([,T ]) which lives i [,] for all ˆ < <. Proof. Similar o he roof of 3. we shall oly work o a measurable se A Ω which cosiss agai of he L d -ahs for which Theorem 3. fails. Showig ha X says always osiive works aalogously o he CIR roof. For he secod boudary, ake ε (,), defie τ ε = mi{ [,T ] X ε} ad se f(z) = ( z). Now, similarly o he roof of 3., we obai f(x τε ) = f(x ) + ( X s τε ) [(s)( θ(s))]ds + σ(s)( X s τε ) X s τε Xs τε dl d s. (s)( X s τε ) ds Sice we work o A ad θ() (,), for ε close o ad large eough, he firs iegral s absolue execaio domiaes he σ-iegral ad we ge E [f(x τε )] f(x ) + Now, he roof ca be cocluded as for Theorem 3.. (s)e [f(x s τε )] ds Figure shows simulaed samles ahs of a soluio o () ad () wih cosa coefficie fucios obaied via a classical Euler-Maruyama scheme. As ca be see, osiiviy for he CIR rocess oly holds for θ > ad θ > is addiioally ecessary for he Jacobi sde o have soluios i (,). These visualizaio are ealy ilie wih he resuls of Schlücherma ad Yag (6) regardig he ahwise fracioal Browia CIR rocess. Figure : To: Samle ahs of a soluio o he Cox Igersoll Ross model () wih X =.5 (lef: =., θ =.5, σ =, righ: =, θ =, σ =.). Boom: Samle ahs of a soluio o he Jacobi model () wih X =.5 (lef: =., θ =.5, σ =, righ: =, θ =, σ =.). All simulaios are based o a fracioal Poisso rocess (cf. Secio 5 of Fik ad Klüelberg ()) wih iesiy λ = 4 ad fracioal iegraio arameer d =.5 Refereces Buchma, B., Klüelberg, C., 6. Fracioal iegral equaios ad sae sace rasforms. Beroulli (3), Chisyakov, V. V., Galki, O. E., 998. O mas Of bouded -variaio wih >. Posiiviy (). Doss, H., 977. Lies ere equaios differeielles sochasiques e ordiaires. Aals de Isiue Heri Poicare 3,
9 Fik, H., 6. Codiioal disribuios of Madelbro-va Ness fracioal Lévy rocesses ad coiuous-ime ARMA-GARCH-ye models wih log memory. Joural of Time Series Aalysis 37 (), Fik, H., Klüelberg, C.,. Fracioal Lévy drive Orsei-Uhlebeck rocesses ad sochasic differeial equaios. Beroulli 7 (), Gikhma, I. I.,. A shor remark o Feller s square roo codiio, available olie: h://aers.ssr.com/sol3/aers. cfm?absrac_id= Heso, S., 993. A closed-form soluio for oios wih sochasic volailiy wih alicaios o bod ad currecy oios. Review of Fiacial Sudies 6, Lyos, T., 994. Differeial equaios drive by rough sigals (I): a exesio of a equaliy of L. C. Youg. Mah. Research Leers, Marquard, T., 6. Fracioal Lévy rocesses wih a alicaio o log memory movig average rocesses. Beroulli (6), 9 6. Schlücherma, G., Yag, Y., 6. Noe o fracioal CLKS-ye sochasic differeial equaio ah-wise ad i he Wick sese, available olie: hs:// sochasic_differeial_equaio_-ah-wise_ad_i_he_wick_sese. Youg, L., 936. A iequaliy of he Hölder ye, coeced wih Sieljes iegraio. Aca Mahemaica 67, 5 8. Zähle, M., 998. Iegraio wih resec o fracal fucios ad sochasic calculus. I. Probabiliy Theory ad Relaed Fields,
Lecture 15 First Properties of the Brownian Motion
Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies
More informationK3 p K2 p Kp 0 p 2 p 3 p
Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra
More informationBasic Results in Functional Analysis
Preared by: F.. ewis Udaed: Suday, Augus 7, 4 Basic Resuls i Fucioal Aalysis f ( ): X Y is coiuous o X if X, (, ) z f( z) f( ) f ( ): X Y is uiformly coiuous o X if i is coiuous ad ( ) does o deed o. f
More informationSTK4080/9080 Survival and event history analysis
STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally
More informationSome inequalities for q-polygamma function and ζ q -Riemann zeta functions
Aales Mahemaicae e Iformaicae 37 (1). 95 1 h://ami.ekf.hu Some iequaliies for q-olygamma fucio ad ζ q -Riema zea fucios Valmir Krasiqi a, Toufik Masour b Armed Sh. Shabai a a Dearme of Mahemaics, Uiversiy
More informationApplication of Fixed Point Theorem of Convex-power Operators to Nonlinear Volterra Type Integral Equations
Ieraioal Mahemaical Forum, Vol 9, 4, o 9, 47-47 HIKRI Ld, wwwm-hikaricom h://dxdoiorg/988/imf4333 licaio of Fixed Poi Theorem of Covex-ower Oeraors o Noliear Volerra Tye Iegral Equaios Ya Chao-dog Huaiyi
More informationBEST CONSTANTS FOR TWO NON-CONVOLUTION INEQUALITIES
BEST CONSTANTS FOR TWO NON-CONVOLUTION INEQUALITIES Michael Chris ad Loukas Grafakos Uiversiy of Califoria, Los Ageles ad Washigo Uiversiy Absrac. The orm of he oeraor which averages f i L ( ) over balls
More informationPrakash Chandra Rautaray 1, Ellipse 2
Prakash Chadra Rauara, Ellise / Ieraioal Joural of Egieerig Research ad Alicaios (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue, Jauar -Februar 3,.36-337 Degree Of Aroimaio Of Fucios B Modified Parial
More informationSupplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"
Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio
More informationAn interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract
A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class
More informationResearch Article A Generalized Nonlinear Sum-Difference Inequality of Product Form
Joural of Applied Mahemaics Volume 03, Aricle ID 47585, 7 pages hp://dx.doi.org/0.55/03/47585 Research Aricle A Geeralized Noliear Sum-Differece Iequaliy of Produc Form YogZhou Qi ad Wu-Sheg Wag School
More informationFIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE
Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial
More informationCommon Fixed Point Theorem in Intuitionistic Fuzzy Metric Space via Compatible Mappings of Type (K)
Ieraioal Joural of ahemaics Treds ad Techology (IJTT) Volume 35 umber 4- July 016 Commo Fixed Poi Theorem i Iuiioisic Fuzzy eric Sace via Comaible aigs of Tye (K) Dr. Ramaa Reddy Assisa Professor De. of
More informationComparison between Fourier and Corrected Fourier Series Methods
Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1
More informationMath 6710, Fall 2016 Final Exam Solutions
Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be
More informationAdditional Tables of Simulation Results
Saisica Siica: Suppleme REGULARIZING LASSO: A CONSISTENT VARIABLE SELECTION METHOD Quefeg Li ad Ju Shao Uiversiy of Wiscosi, Madiso, Eas Chia Normal Uiversiy ad Uiversiy of Wiscosi, Madiso Supplemeary
More informationEXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar
Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded
More informationIdeal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory
Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable
More informationBIBECHANA A Multidisciplinary Journal of Science, Technology and Mathematics
Biod Prasad Dhaal / BIBCHANA 9 (3 5-58 : BMHSS,.5 (Olie Publicaio: Nov., BIBCHANA A Mulidisciliary Joural of Sciece, Techology ad Mahemaics ISSN 9-76 (olie Joural homeage: h://ejol.ifo/idex.h/bibchana
More informationSolution. 1 Solutions of Homework 6. Sangchul Lee. April 28, Problem 1.1 [Dur10, Exercise ]
Soluio Sagchul Lee April 28, 28 Soluios of Homework 6 Problem. [Dur, Exercise 2.3.2] Le A be a sequece of idepede eves wih PA < for all. Show ha P A = implies PA i.o. =. Proof. Noice ha = P A c = P A c
More informationAPPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY
APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY ZHEN-GUO DENG ad GUO-CHENG WU 2, 3 * School of Mahemaics ad Iformaio Sciece, Guagi Uiversiy, Naig 534, PR Chia 2 Key Laboraory
More informationThe Moment Approximation of the First Passage Time for the Birth Death Diffusion Process with Immigraton to a Moving Linear Barrier
America Joural of Applied Mahemaics ad Saisics, 015, Vol. 3, No. 5, 184-189 Available olie a hp://pubs.sciepub.com/ajams/3/5/ Sciece ad Educaio Publishig DOI:10.1691/ajams-3-5- The Mome Approximaio of
More information1 Notes on Little s Law (l = λw)
Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i
More informationExtremal graph theory II: K t and K t,t
Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee
More informationInstitute of Actuaries of India
Isiue of cuaries of Idia Subjec CT3-robabiliy ad Mahemaical Saisics May 008 Eamiaio INDICTIVE SOLUTION Iroducio The idicaive soluio has bee wrie by he Eamiers wih he aim of helig cadidaes. The soluios
More informationA Generalization of Hermite Polynomials
Ieraioal Mahemaical Forum, Vol. 8, 213, o. 15, 71-76 HIKARI Ld, www.m-hikari.com A Geeralizaio of Hermie Polyomials G. M. Habibullah Naioal College of Busiess Admiisraio & Ecoomics Gulberg-III, Lahore,
More informationA Note on Random k-sat for Moderately Growing k
A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics
More informationSome Properties of Semi-E-Convex Function and Semi-E-Convex Programming*
The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*
More informationA note on deviation inequalities on {0, 1} n. by Julio Bernués*
A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly
More informationOn The Generalized Type and Generalized Lower Type of Entire Function in Several Complex Variables With Index Pair (p, q)
O he eeralized ye ad eeralized Lower ye of Eire Fucio i Several Comlex Variables Wih Idex Pair, Aima Abdali Jaffar*, Mushaq Shakir A Hussei Dearme of Mahemaics, College of sciece, Al-Musasiriyah Uiversiy,
More informationCalculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.
Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..
More informationThe analysis of the method on the one variable function s limit Ke Wu
Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776
More informationB. Maddah INDE 504 Simulation 09/02/17
B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service
More information1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)
7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic
More informationTAKA KUSANO. laculty of Science Hrosh tlnlersty 1982) (n-l) + + Pn(t)x 0, (n-l) + + Pn(t)Y f(t,y), XR R are continuous functions.
Iera. J. Mah. & Mah. Si. Vol. 6 No. 3 (1983) 559-566 559 ASYMPTOTIC RELATIOHIPS BETWEEN TWO HIGHER ORDER ORDINARY DIFFERENTIAL EQUATIONS TAKA KUSANO laculy of Sciece Hrosh llersy 1982) ABSTRACT. Some asympoic
More informationA Note on Prediction with Misspecified Models
ITB J. Sci., Vol. 44 A, No. 3,, 7-9 7 A Noe o Predicio wih Misspecified Models Khresha Syuhada Saisics Research Divisio, Faculy of Mahemaics ad Naural Scieces, Isiu Tekologi Badug, Jala Gaesa Badug, Jawa
More informationN! AND THE GAMMA FUNCTION
N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio
More informationOn the Existence and Uniqueness of Solutions for Nonlinear System Modeling Three-Dimensional Viscous Stratified Flows
Joural of Applied Mahemaics ad Physics 58-59 Published Olie Jue i SciRes hp://wwwscirporg/joural/jamp hp://dxdoiorg/6/jamp76 O he Exisece ad Uiqueess of Soluios for oliear Sysem Modelig hree-dimesioal
More informationThe Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION
Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii
More informationLecture 15: Three-tank Mixing and Lead Poisoning
Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [
More informationActuarial Society of India
Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!
More informationBE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion
BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.
More informationA TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY
U.P.B. Sci. Bull., Series A, Vol. 78, Iss. 2, 206 ISSN 223-7027 A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY İbrahim Çaak I his paper we obai a Tauberia codiio i erms of he weighed classical
More information10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)
ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames
More informationJornal of Kerbala University, Vol. 5 No.4 Scientific.Decembar 2007
Joral of Kerbala Uiversiy, Vol. No. Scieific.Decembar 7 Soluio of Delay Fracioal Differeial Equaios by Usig Liear Mulise Mehod حل الوعادالث التفاضل ت الكسز ت التباطؤ ت باستخذام طز قت هتعذد الخطىاث الخط
More information2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)
Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he
More informationMathematical Statistics. 1 Introduction to the materials to be covered in this course
Mahemaical Saisics Iroducio o he maerials o be covered i his course. Uivariae & Mulivariae r.v s 2. Borl-Caelli Lemma Large Deviaios. e.g. X,, X are iid r.v s, P ( X + + X where I(A) is a umber depedig
More informationReview Exercises for Chapter 9
0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled
More informationCLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS
PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach
More informationMean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs
America Joural of Compuaioal Mahemaics, 04, 4, 80-88 Published Olie Sepember 04 i SciRes. hp://www.scirp.org/joural/ajcm hp://dx.doi.org/0.436/ajcm.04.4404 Mea Square Coverge Fiie Differece Scheme for
More informationODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003
ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous
More informationA Hilbert-type fractal integral inequality and its applications
Liu ad Su Joural of Ieualiies ad Alicaios 7) 7:83 DOI.86/s366-7-36-9 R E S E A R C H Oe Access A Hilber-e fracal iegral ieuali ad is alicaios Qiog Liu ad Webig Su * * Corresodece: swb5@63.com Dearme of
More informationExistence 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 informationSome Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction
Malaysia Joural of Mahemaical Scieces 9(): 49-5 (5) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/joural Some Newo s Type Ieualiies for Geomerically Relaive Covex Fucios
More informationL-functions and Class Numbers
L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle
More informationComplementi di Fisica Lecture 6
Comlemei di Fisica Lecure 6 Livio Laceri Uiversià di Triese Triese, 15/17-10-2006 Course Oulie - Remider The hysics of semicoducor devices: a iroducio Basic roeries; eergy bads, desiy of saes Equilibrium
More informationGAUSSIAN CHAOS AND SAMPLE PATH PROPERTIES OF ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES
The Aals of Probabiliy 996, Vol, No 3, 3077 GAUSSIAN CAOS AND SAMPLE PAT PROPERTIES OF ADDITIVE FUNCTIONALS OF SYMMETRIC MARKOV PROCESSES BY MICAEL B MARCUS AND JAY ROSEN Ciy College of CUNY ad College
More informationApplication of the Adomian Decomposition Method (ADM) and the SOME BLAISE ABBO (SBA) method to solving the diffusion-reaction equations
Advaces i Theoreical ad Alied Mahemaics ISSN 973-4554 Volume 9, Number (4),. 97-4 Research Idia Publicaios h://www.riublicaio.com Alicaio of he Adomia Decomosiio Mehod (ADM) ad he SOME BLAISE ABBO (SBA)
More informationNotes 03 largely plagiarized by %khc
1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our
More informationAveraging of Fuzzy Integral Equations
Applied Mahemaics ad Physics, 23, Vol, No 3, 39-44 Available olie a hp://pubssciepubcom/amp//3/ Sciece ad Educaio Publishig DOI:269/amp--3- Averagig of Fuzzy Iegral Equaios Naalia V Skripik * Deparme of
More informationApproximately Quasi Inner Generalized Dynamics on Modules. { } t t R
Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme
More informationHomotopy Analysis Method for Solving Fractional Sturm-Liouville Problems
Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy
More informationPower variation for Gaussian processes with stationary increments
Sochasic Processes ad heir Alicaios 119 29 1845 1865 www.elsevier.co/locae/sa Power variaio for Gaussia rocesses wih saioary icrees Ole E. Bardorff-Nielse a, José Mauel Corcuera b, Mark Podolskij c, a
More informationComparisons Between RV, ARV and WRV
Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev
More informationAvailable online at J. Math. Comput. Sci. 2 (2012), No. 4, ISSN:
Available olie a h://scik.og J. Mah. Comu. Sci. 2 (22), No. 4, 83-835 ISSN: 927-537 UNBIASED ESTIMATION IN BURR DISTRIBUTION YASHBIR SINGH * Deame of Saisics, School of Mahemaics, Saisics ad Comuaioal
More informationEntropy production rate of nonequilibrium systems from the Fokker-Planck equation
Eropy producio rae of oequilibrium sysems from he Fokker-Plack equaio Yu Haiao ad Du Jiuli Deparme of Physics School of Sciece Tiaji Uiversiy Tiaji 30007 Chia Absrac: The eropy producio rae of oequilibrium
More informationA Bayesian Approach for Detecting Outliers in ARMA Time Series
WSEAS RASACS o MAEMAICS Guochao Zhag Qigmig Gui A Bayesia Approach for Deecig Ouliers i ARMA ime Series GUOC ZAG Isiue of Sciece Iformaio Egieerig Uiversiy 45 Zhegzhou CIA 94587@qqcom QIGMIG GUI Isiue
More informationBEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS
BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad
More informationInference of the Second Order Autoregressive. Model with Unit Roots
Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research
More informationDepartment of Mathematical and Statistical Sciences University of Alberta
MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm
More informationExtended Laguerre Polynomials
I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College
More informationEquitable coloring of random graphs
Equiable colorig of radom grahs Michael Krivelevich Balázs Paós July 2, 2008 Absrac A equiable colorig of a grah is a roer verex colorig such ha he sizes of ay wo color classes differ by a mos oe. The
More informationCOS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma
COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case
More informationSolutions to Problems 3, Level 4
Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.
More informationDynamic h-index: the Hirsch index in function of time
Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260
More informationSamuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3
Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-
More informationarxiv: v2 [math.pr] 10 Apr 2014
arxiv:1311.2725v2 [mah.pr 1 Apr 214 Srog Rae of Covergece for he Euler-Maruyama Approximaio of Sochasic Differeial Equaios wih Irregular Coefficies Hoag-Log Ngo, Dai Taguchi Absrac We cosider he Euler-Maruyama
More informationOn The Eneström-Kakeya Theorem
Applied Mahemaics,, 3, 555-56 doi:436/am673 Published Olie December (hp://wwwscirporg/oural/am) O The Eesröm-Kakeya Theorem Absrac Gulsha Sigh, Wali Mohammad Shah Bharahiar Uiversiy, Coimbaore, Idia Deparme
More informationCompleteness of Random Exponential System in Half-strip
23-24 Prepri for School of Mahemaical Scieces, Beijig Normal Uiversiy Compleeess of Radom Expoeial Sysem i Half-srip Gao ZhiQiag, Deg GuaTie ad Ke SiYu School of Mahemaical Scieces, Laboraory of Mahemaics
More informationUsing Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral
Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai
More informationA Study On (H, 1)(E, q) Product Summability Of Fourier Series And Its Conjugate Series
Mahemaical Theory ad Modelig ISSN 4-584 (Paper) ISSN 5-5 (Olie) Vol.7, No.5, 7 A Sudy O (H, )(E, q) Produc Summabiliy Of Fourier Series Ad Is Cojugae Series Sheela Verma, Kalpaa Saxea * Research Scholar
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 4 9/16/2013. Applications of the large deviation technique
MASSACHUSETTS ISTITUTE OF TECHOLOGY 6.265/5.070J Fall 203 Lecure 4 9/6/203 Applicaios of he large deviaio echique Coe.. Isurace problem 2. Queueig problem 3. Buffer overflow probabiliy Safey capial for
More informationBAYESIAN ESTIMATION METHOD FOR PARAMETER OF EPIDEMIC SIR REED-FROST MODEL. Puji Kurniawan M
BAYESAN ESTMATON METHOD FOR PARAMETER OF EPDEMC SR REED-FROST MODEL Puji Kuriawa M447 ABSTRACT. fecious diseases is a impora healh problem i he mos of couries, belogig o doesia. Some of ifecious diseases
More informationMETHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER
Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue
More informationExercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May
Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly
More informationLecture 8 April 18, 2018
Sas 300C: Theory of Saisics Sprig 2018 Lecure 8 April 18, 2018 Prof Emmauel Cades Scribe: Emmauel Cades Oulie Ageda: Muliple Tesig Problems 1 Empirical Process Viewpoi of BHq 2 Empirical Process Viewpoi
More informationFRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS
S33 FRACTIONAL VARIATIONAL ITERATION METHOD FOR TIME-FRACTIONAL NON-LINEAR FUNCTIONAL PARTIAL DIFFERENTIAL EQUATION HAVING PROPORTIONAL DELAYS by Derya DOGAN DURGUN ad Ali KONURALP * Deparme of Mahemaics
More informationThe Connection between the Basel Problem and a Special Integral
Applied Mahemaics 4 5 57-584 Published Olie Sepember 4 i SciRes hp://wwwscirporg/joural/am hp://ddoiorg/436/am45646 The Coecio bewee he Basel Problem ad a Special Iegral Haifeg Xu Jiuru Zhou School of
More informationMATH 507a ASSIGNMENT 4 SOLUTIONS FALL 2018 Prof. Alexander. g (x) dx = g(b) g(0) = g(b),
MATH 57a ASSIGNMENT 4 SOLUTIONS FALL 28 Prof. Alexader (2.3.8)(a) Le g(x) = x/( + x) for x. The g (x) = /( + x) 2 is decreasig, so for a, b, g(a + b) g(a) = a+b a g (x) dx b so g(a + b) g(a) + g(b). Sice
More informationSection 8 Convolution and Deconvolution
APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:
More informationHARDY SPACE ESTIMATES FOR MULTILINEAR OPERATORS, I. Ronald R. Coifman and Loukas Grafakos Yale University
HARDY SPACE ESTIMATES FOR MULTILINEAR OPERATORS, I Roald R. Coifma ad Loukas Grafakos Yale Uiversiy Absrac. I his aricle, we sudy biliear oeraors give by ier roducs of fiie vecors of Calderó-Zygmud oeraors.
More informationVIM for Determining Unknown Source Parameter in Parabolic Equations
ISSN 1746-7659, Eglad, UK Joural of Iformaio ad Compuig Sciece Vol. 11, No., 16, pp. 93-1 VIM for Deermiig Uko Source Parameer i Parabolic Equaios V. Eskadari *ad M. Hedavad Educaio ad Traiig, Dourod,
More informationNumerical approximation of Backward Stochastic Differential Equations with Jumps
Numerical approximaio of Bacward Sochasic Differeial Equaios wih Jumps Aoie Lejay, Ereso Mordeci, Soledad Torres To cie his versio: Aoie Lejay, Ereso Mordeci, Soledad Torres. Numerical approximaio of Bacward
More informationPrinciples of Communications Lecture 1: Signals and Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University
Priciples of Commuicaios Lecure : Sigals ad Sysems Chih-Wei Liu 劉志尉 Naioal Chiao ug Uiversiy cwliu@wis.ee.cu.edu.w Oulies Sigal Models & Classificaios Sigal Space & Orhogoal Basis Fourier Series &rasform
More informationOn Stability of Quintic Functional Equations in Random Normed Spaces
J. COMPUTATIONAL ANALYSIS AND APPLICATIONS, VOL. 3, NO.4, 07, COPYRIGHT 07 EUDOXUS PRESS, LLC O Sabiliy of Quiic Fucioal Equaios i Radom Normed Spaces Afrah A.N. Abdou, Y. J. Cho,,, Liaqa A. Kha ad S.
More informationApproximating Solutions for Ginzburg Landau Equation by HPM and ADM
Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural
More informationDIFFERENTIAL EQUATIONS
DIFFERENTIAL EQUATIONS M.A. (Previous) Direcorae of Disace Educaio Maharshi Dayaad Uiversiy ROHTAK 4 Copyrigh 3, Maharshi Dayaad Uiversiy, ROHTAK All Righs Reserved. No par of his publicaio may be reproduced
More informationarxiv: v1 [math.pr] 16 Dec 2018
218, 1 17 () arxiv:1812.7383v1 [mah.pr] 16 Dec 218 Refleced BSDEs wih wo compleely separaed barriers ad regulaed rajecories i geeral filraio. Baadi Brahim ad Oukie Youssef Ib Tofaïl Uiversiy, Deparme of
More informationEXISTENCE AND UNIQUENESS OF SOLUTIONS FOR NONLINEAR FRACTIONAL DIFFERENTIAL EQUATIONS WITH TWO-POINT BOUNDARY CONDITIONS
Advaced Mahemaical Models & Applicaios Vol3, No, 8, pp54-6 EXISENCE AND UNIQUENESS OF SOLUIONS FOR NONLINEAR FRACIONAL DIFFERENIAL EQUAIONS WIH WO-OIN BOUNDARY CONDIIONS YA Shariov *, FM Zeyally, SM Zeyally
More informationIntroduction to the Mathematics of Lévy Processes
Iroducio o he Mahemaics of Lévy Processes Kazuhisa Masuda Deparme of Ecoomics The Graduae Ceer, The Ciy Uiversiy of New York, 365 Fifh Aveue, New York, NY 10016-4309 Email: maxmasuda@maxmasudacom hp://wwwmaxmasudacom/
More information