On a Fractional Stochastic Landau-Ginzburg Equation

Similar documents
An Introduction to Malliavin calculus and its applications

On Gronwall s Type Integral Inequalities with Singular Kernels

Variational Iteration Method for Solving System of Fractional Order Ordinary Differential Equations

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

6. Stochastic calculus with jump processes

A proof of Ito's formula using a di Title formula. Author(s) Fujita, Takahiko; Kawanishi, Yasuhi. Studia scientiarum mathematicarum H Citation

A Class of Fractional Stochastic Differential Equations

Backward stochastic dynamics on a filtered probability space

Fractional Method of Characteristics for Fractional Partial Differential Equations

STABILITY OF NONLINEAR NEUTRAL DELAY DIFFERENTIAL EQUATIONS WITH VARIABLE DELAYS

PROPERTIES OF MAXIMUM LIKELIHOOD ESTIMATES IN DIFFUSION AND FRACTIONAL-BROWNIAN MODELS

Dynamics of a stochastic predator-prey model with Beddington DeAngelis functional response

The Optimal Stopping Time for Selling an Asset When It Is Uncertain Whether the Price Process Is Increasing or Decreasing When the Horizon Is Infinite

POSITIVE SOLUTIONS OF NEUTRAL DELAY DIFFERENTIAL EQUATION

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Chapter 2. First Order Scalar Equations

Generalized Snell envelope and BSDE With Two general Reflecting Barriers

Some New Uniqueness Results of Solutions to Nonlinear Fractional Integro-Differential Equations

Utility maximization in incomplete markets

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

Properties Of Solutions To A Generalized Liénard Equation With Forcing Term

Existence Theory of Second Order Random Differential Equations

LECTURE 1: GENERALIZED RAY KNIGHT THEOREM FOR FINITE MARKOV CHAINS

Dual Representation as Stochastic Differential Games of Backward Stochastic Differential Equations and Dynamic Evaluations

EXISTENCE AND UNIQUENESS OF SOLUTIONS TO THE BACKWARD STOCHASTIC LORENZ SYSTEM

Asymptotic instability of nonlinear differential equations

An Introduction to Backward Stochastic Differential Equations (BSDEs) PIMS Summer School 2016 in Mathematical Finance.

Differential Equations

On Oscillation of a Generalized Logistic Equation with Several Delays

Stochastic Modelling in Finance - Solutions to sheet 8

Monotonic Solutions of a Class of Quadratic Singular Integral Equations of Volterra type

ENGI 9420 Engineering Analysis Assignment 2 Solutions

arxiv: v1 [math.pr] 19 Feb 2011

Positive continuous solution of a quadratic integral equation of fractional orders

The L p -Version of the Generalized Bohl Perron Principle for Vector Equations with Infinite Delay

Undetermined coefficients for local fractional differential equations

L p -L q -Time decay estimate for solution of the Cauchy problem for hyperbolic partial differential equations of linear thermoelasticity

arxiv: v1 [math.ca] 15 Nov 2016

Singular control of SPDEs and backward stochastic partial diffe. reflection

EXISTENCE AND UNIQUENESS THEOREMS ON CERTAIN DIFFERENCE-DIFFERENTIAL EQUATIONS

MA 214 Calculus IV (Spring 2016) Section 2. Homework Assignment 1 Solutions

Existence and uniqueness of solution for multidimensional BSDE with local conditions on the coefficient

Representation of Stochastic Process by Means of Stochastic Integrals

CERTAIN CLASSES OF SOLUTIONS OF LAGERSTROM EQUATIONS

Sobolev-type Inequality for Spaces L p(x) (R N )

Existence of positive solutions for second order m-point boundary value problems

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

SELBERG S CENTRAL LIMIT THEOREM ON THE CRITICAL LINE AND THE LERCH ZETA-FUNCTION. II

EMS SCM joint meeting. On stochastic partial differential equations of parabolic type

f(s)dw Solution 1. Approximate f by piece-wise constant left-continuous non-random functions f n such that (f(s) f n (s)) 2 ds 0.

DISCRETE GRONWALL LEMMA AND APPLICATIONS

MODULE 3 FUNCTION OF A RANDOM VARIABLE AND ITS DISTRIBUTION LECTURES PROBABILITY DISTRIBUTION OF A FUNCTION OF A RANDOM VARIABLE

Ordinary Differential Equations

On two general nonlocal differential equations problems of fractional orders

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Existence of multiple positive periodic solutions for functional differential equations

Couplage du principe des grandes déviations et de l homogénisation dans le cas des EDP paraboliques: (le cas constant)

Research Article Existence and Uniqueness of Periodic Solution for Nonlinear Second-Order Ordinary Differential Equations

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

Engineering Letter, 16:4, EL_16_4_03

Predator - Prey Model Trajectories and the nonlinear conservation law

Cash Flow Valuation Mode Lin Discrete Time

SUFFICIENT CONDITIONS FOR EXISTENCE SOLUTION OF LINEAR TWO-POINT BOUNDARY PROBLEM IN MINIMIZATION OF QUADRATIC FUNCTIONAL

The Existence, Uniqueness and Stability of Almost Periodic Solutions for Riccati Differential Equation

7 The Itô/Stratonovich dilemma

A FAMILY OF MARTINGALES GENERATED BY A PROCESS WITH INDEPENDENT INCREMENTS

CONTRIBUTION TO IMPULSIVE EQUATIONS

EXISTENCE OF NON-OSCILLATORY SOLUTIONS TO FIRST-ORDER NEUTRAL DIFFERENTIAL EQUATIONS

Improved Approximate Solutions for Nonlinear Evolutions Equations in Mathematical Physics Using the Reduced Differential Transform Method

Haar Wavelet Operational Matrix Method for Solving Fractional Partial Differential Equations

Recursive Least-Squares Fixed-Interval Smoother Using Covariance Information based on Innovation Approach in Linear Continuous Stochastic Systems

Loss of martingality in asset price models with lognormal stochastic volatility

Time discretization of quadratic and superquadratic Markovian BSDEs with unbounded terminal conditions

Hamilton- J acobi Equation: Explicit Formulas In this lecture we try to apply the method of characteristics to the Hamilton-Jacobi equation: u t

arxiv: v1 [math.fa] 9 Dec 2018

Omega-limit sets and bounded solutions

arxiv: v1 [math.pr] 21 May 2010

Ordinary Differential Equations

ASYMPTOTIC FORMS OF WEAKLY INCREASING POSITIVE SOLUTIONS FOR QUASILINEAR ORDINARY DIFFERENTIAL EQUATIONS

On Two Integrability Methods of Improper Integrals

arxiv:math/ v1 [math.nt] 3 Nov 2005

Correspondence should be addressed to Nguyen Buong,

On the Solutions of First and Second Order Nonlinear Initial Value Problems

Olaru Ion Marian. In 1968, Vasilios A. Staikos [6] studied the equation:

Local Strict Comparison Theorem and Converse Comparison Theorems for Reflected Backward Stochastic Differential Equations

Convergence of the Neumann series in higher norms

Stability and Bifurcation in a Neural Network Model with Two Delays

Homework 10 (Stats 620, Winter 2017) Due Tuesday April 18, in class Questions are derived from problems in Stochastic Processes by S. Ross.

Uniqueness of solutions to quadratic BSDEs. BSDEs with convex generators and unbounded terminal conditions

Boundedness and Exponential Asymptotic Stability in Dynamical Systems with Applications to Nonlinear Differential Equations with Unbounded Terms

A Note on the Equivalence of Fractional Relaxation Equations to Differential Equations with Varying Coefficients

Algorithmic Trading: Optimal Control PIMS Summer School

Heat kernel and Harnack inequality on Riemannian manifolds

EXERCISES FOR SECTION 1.5

Approximation Algorithms for Unique Games via Orthogonal Separators

AMartingaleApproachforFractionalBrownian Motions and Related Path Dependent PDEs

arxiv: v1 [math.pr] 6 Oct 2008

arxiv:quant-ph/ v1 5 Jul 2004

Solution of Integro-Differential Equations by Using ELzaki Transform

Transcription:

Applied Mahemaical Sciences, Vol. 4, 1, no. 7, 317-35 On a Fracional Sochasic Landau-Ginzburg Equaion Nguyen Tien Dung Deparmen of Mahemaics, FPT Universiy 15B Pham Hung Sree, Hanoi, Vienam dungn@fp.edu.vn Tran Hung Thao Insiue of Mahemaics Vienamese Academy of Science and Technology No 18 Hoang-Quoc-Vie Road, Hanoi, Vienam hhao@mah.ac.vn Absrac The aim of his paper is o invesigae a fracional sochasic Landau- Ginzburg equaion for modelling superconduciviy from an approximaion approach by he fac ha a fracional Brownian moion of Liouville form can be approximaed by semimaringales in L -space.the exisence and uniqueness of he soluion are proved and is explici form is found as well. Mahemaics Subjec Classificaion: 8D35, 8B3, 6H3 Keywords: Landau-Ginzburg heory, fracional Brownian moion, semimaringale 1 Inroducion I is well known ha he Landau-Ginzburg heory is a mahemaical heory used o model superconduciviy [4]. This heory examines he macroscopic properies of a superconducor wih he aid of general hermodynamic argumens. Landau and Ginzburg esablished ha he free energy of a superconducor near he semiconducing ransiion can be expressed in erms of an order parameer, his parameer describes how deep ino he superconducing phase he sysem is. The module X of his parameer depending on ime can

318 N. T. Dung and T. H. Thao be considered as he sysem sae saisfying he sochasic Landau-Ginzburg equaion of he form dx =( X 3 + bx )d + σx dw, (1.1.1) where W is a sandard Brownian moion, b and σ are some consans. One observes ha he model (1.1.1) does no exacly reflec he superconducing sae of he sysem because he fac ha he sae X a each ime can have a long-ime influence upon he sysem while he soluion of (1.1.1) is only a Markov process ha is of no-memory. So one can inroduce a new model as follows: dx =( X 3 + bx )d + σx dw H, (1.1.) where he fracional Brownian moion W H wih he Hurs index H, ( <H< 1) is a cenered Gaussian process of covariance funcion R(s, ) given by R(s, ) = 1 (H + s H s H ). I is known also he he process W H can be represened in he form W H = 1 Γ(H + 1 ) [ U + where Γ sands for he Gamma funcion, and U = ( s) H 1 dws ], ( ( s) α ( s) α) dw s is a process wih absoluely coninuous pahs. One noes ha he long-range dependence propery focuses a he erm B := ( s) H 1 dw s ha is called he fracional Brownian moion of Liouville form (see [5,, 1]). And in his paper we consider he fracional sochasic Landau-Ginzburg equaion given by dx =( X 3 + bx )d + σx db, (1.1.3) where B = ( s) α dw s,α= H 1 σ and b = α +. The soluion whose exisence is assured as shown laer expresses a longmemory sae of he superconduciviy of he sysem.

On a fracional sochasic Landau-Ginzburg equaion 319 An approximaion mehod Our mehod is based on a resul on approximaion of he fracional process B = ( s) α dw s by semimaringales given in [1, 6] ha we recall below: For every ε>, we define: Then we have B ε = ( s + ε) α dw s, α = H 1 ( 1, 1 ). (..1) Theorem.1. I. The process {B ε, } is a semimaringale wih following decomposiion where ϕ ε () = B ε = α ( s + ε) α 1 dw s. ϕ ε (s)ds + ε α W, (..) II. The process B ε converges o B in L (Ω) when ε ends. This convergence is uniform wih respec o [,T]. Proof. Refer o [6]. Nex, le us consider he following fracional differenial equaion in a complee probabiliy space (Ω, F, P) dx = ( ) X 3 + bx d + σx db (..3) X = = X, [,T] The soluion of (..3) is a sochasic process such ha X = X + ( ) X 3 s + bx s ds + σ X s db s (..4) where he fracional sochasic inegral of X s db s will be defined as he L -limi X s db ε when ε, if i exiss. The iniial value X is a measurable random variable independen of {B : T }. Our approximaion approach o solving (..3) can be describes as follows:

3 N. T. Dung and T. H. Thao For every ε> we invesigae a corresponding approximaion equaion o (..3) dx ε = ( ) (X ε ) 3 + bx ε d + σx ε db ε (..5) X ε = = X where B ε is defined as in (..). Suppose now ha here exiss a soluion Xε of (..5), hen he fac B ε B implies ha he soluion of equaion (..3) will be limi in L (Ω) of he soluion of (..5) when ε. Indeed, from (..3) and (..5) we ge X ε X b(x ε ) b(x ) ds + σ X ε s db ε s X s db ε s + σ XdBs ε X s db s where b(x) = x 3 + bx. Now by using a localized mehod i is enough o consider X ε N and X N a.s. for some N, and hen here exiss a posiive consan L N such ha b(x ε ) b(x ) L N X ε X. Therefore, he inequaliy (a + b + c) 3(a + b + c ) and an Iô inegraion lead us o he following esimaion E X ε X 3L N E Xs ε X s ds +3σ +3σ E XdB ε s =3(L N + σ ε α ) X ε s X s d[b ε ] s X s db s E X ε s X s ds + c(, ε), where c(, ε) =3σ E XdBs ε X s db s asε by definiion of he fracional sochasic inegral. I follows from he laes inequaliy and from an applicaion of he Gronwall s lemma ha E X ε X c(, ε) e 3(L N +σ ε α ). As a consequence, X ε X in L (Ω) when ε ends o zero.

On a fracional sochasic Landau-Ginzburg equaion 31 3 Main Resuls From (..) we can rewrie he equaions (..5) as follows dx ε = ( (X ε)3 + bx ε + σα ) ϕε ()X ε d + σε α X ε dw (3.3.1) X ε = = X The sochasic process X ε ϕ ε is no bounded. However, he exisence of he soluion can be proved as in Theorem 3.1 below and we can esablish he uniqueness of he soluion of equaion (..5) or (3.3.1) by inroducing he sequence of sopping imes τ M = inf{ [,T]: (ϕ ε s) ds > M} T, and considering he sequence of corresponding sopped equaions dx ε τ M = ( ) (X τ ε M ) 3 + bx τ ε M + σα ϕ ε ()X τ ε M d + σε α X τ ε M dw. (3.3.) We can verify he coefficiens of (3.3.) saisfy he local Lipschiz condiion. Hence, he uniqueness of he soluion is assured (see, for insance, [3]). Theorem 3.1. The soluion of equaion (..5) can be explicily given by Proof. Pu X ε = e (b 1 σ ε α )+σb ε ( X + According o he Iô formula we have: Y = e σεα W. e ((b 1 σ ε α )s+σb ε s ) ) 1 ds. (1 ) dy = Y σ ε α d σε α dw. (3.3.3) We consider Z = X ε Y and hen an applicaion of he inegraion-by-par formula gives us dz = X ε dy + Y dx ε σ ε α X ε Y d { = e σεα W (Z ) 3 + ( b + σα ϕ ε () 1 σ ε α) } Z d. (3.3.4)

3 N. T. Dung and T. H. Thao This is an ordinary Bernouilli equaion of he form: and he soluion Z is given by Z = P ()Z 3 + Q()Z R ( Q(u)du Z = e Z P (s)e where P () = e σεα W,Q() =b 1 σ ε α + σα ϕ ε () and Q(u)du =(b 1 σ ε α ) + σα I(),I() = sr ) 1 Q(u)du ds ϕ ε (s)ds. Hence, he soluion Z of equaion (3.3.4) can be expressed as ( Z = e (b 1 σ ε α )+σα I() Z + ( ) ) 1 e (b 1 σ ε α )s+σα I(s)+σε α W (s) ds. Combining he laes expression and B ε = αi()+εα W we obain he soluion of he approximaion equaion (..5): X ε = e (b 1 σ ε α )+σb ε The proof is hus complee. ( X + e ((b 1 σ ε α )s+σb ε s ) ) 1 ds. Theorem 3.. Suppose ha X is a random variable such ha X > a.s and E[X] <. If H> 1 hen he sochasic process X defined by ( X = e b+σb X + ) 1 e (bs+σbs) ds (3.3.5) is he limi in L (Ω) of X ε. This limi is uniform wih respec o [,T]. Proof. Pu θ ε () =e (b 1 σ ε α )+σb ε and θ() = e b+σb hen i is clear ha for each m 1 here exiss a finie consan M m > such ha E[θ m ε ()] M m, E[θ m ()] M m for every [,T]. Indeed, E[θ m ()] = e mb E[e mσb ]=e mb+ 1 4H m σ H <, and E[θ m ε ()] = e m(b 1 σ ε α )+ 1 4H m σ [(+ε) H ε H] <.

On a fracional sochasic Landau-Ginzburg equaion 33 Moreover, applying he Hölder inequaliy we have following esimaes for any m, k 1: E[θ m ε () θk ()] (E θ ε () m ) 1 (E θ() k ) 1 So here exiss a finie consan M m,k > such ha E[θ m ε () θ k ()] M m,k [,T]. (3.3.6) We now can prove ha θ ε () L θ() uniformly wih respec o [,T], i.e: Indeed, we see ha lim sup ε T θ ε () θ() =. (3.3.7) θ ε () θ() θ() 4 exp ( 1 σ ε α + σ(b ε B ) ) 1 4 Using he relaion e x 1=x + o(x), we obain M 4 exp ( 1 σ ε α + σ(b ε B ) ) 1 4 (3.3.8) exp ( 1 σ ε α +σ(b ε B ) ) 1 4 1 σ ε α +σ(b ε B ) 4 + o(...) 4 and hus (3.3.7) follows from Corollary.. 1 σ ε α T + σ(b ε B ) 4 + o(...) 4 (3.3.9) We have also ha θ L ε (s)ds θ (s)ds uniformly wih respec o [, T]. Indeed, we have he following esimae: E θ ε(s)ds θ (s)ds E θ ε() θ () ds [,T]. (3.3.1) Once again, an applicaion of he Hölder inequaliy yields for every [,T] E θ ε() θ () = E[ θ ε () θ() A ε ()] θ ε () θ() A ε () (3.3.11) where A ε () = θ ε () θ() ( θ ε ()+θ() ). Using inequaliies of he form (3.3.6) we see ha here exiss a finie consan M 3 > such ha A ε () M 3 [,T]. (3.3.1)

34 N. T. Dung and T. H. Thao I follows from (3.3.1),(3.3.11) and (3.3.1) ha E θ ε(s)ds θ (s)ds M 3 T sup T M 3 sup θ ε () θ() T θ ε () θ() [,T]. (3.3.13) The laes inequaliy assures ha sup θε(s)ds θ (s)ds asε. T Pu η ε () =X + θε (s)ds and η() =X + θ (s)ds. From resuls above we can see ha η ε () L η() uniformly wih respec o [,T]. Nex we will show ha η 1 ε () L η 1 () uniformly wih respec o [,T]. (3.3.14) Indeed, we have η ε () X and η() X a.s for every [,T]. The heorem of finie incremens applied o he funcion g(x) =x 1 yields η 1 ε () η 1 () 1 X3 (η ε() η()). By an argumen analogous o he previous one, we ge η 1 ε () η 1 () M η ε () η() [,T]. where M> is a finie consan. And (3.3.14) follows from his esimae. As a consequence we have following asserion X ε = θ ε()η 1 ε () L θ()η 1 () =X (). The proof of heorem is hus complee. Now as proved in Secion, he process X (..3). Then we have is exacly soluion of he equaion Corollary 3.3. The soluion of he fracional Ginzburg-Landau equaion dx =( X 3 +(α + σ )X ) d + σx db,

On a fracional sochasic Landau-Ginzburg equaion 35 is unique and given by X = σ σb+(α+ X e ) ( 1+X σ σbs+(α+ e )s) 1. Proof. The uniqueness of he soluion can be seen as follows: If X,1 and X, are wo limis of X ε in L, hen as ε. X, X ε X,1 + X ε X, X,1 References [1] E. Alòs, O. Maze and D. Nualar, Sochasic Calculus wih Respec o Fracional Brownian Moion wih Hurs Paramener less han 1.J. Sochasic Processes and heir Applicaions, 86 issue 1 (), 11-139. [] L. Decreusefond and N. Savy, Filered Brownian moions as weak limi of filered Poisson processes. Bernoulli 11(), 5, 83-9. [3] I. I. Gihman and A. V. Skorohod, Sochasic Differenial Equaions. Springer, 197. [4] I. S. Aranson and L. Kramer, The World of he Complex Ginzburg-Landau Equaion, Reviews of Modern Physics, Vol. 74 (), 99-143. [5] S. C. Lim and V. M. Sihi, Asympoic properies of he fracional Brownian moion of Riemann-Liouville ype. Physics Leers A 6 (1995), 311-317. [6] T. H. Thao, An Approximae Approach o Fracional Analysis for Finance, Nonlinear Analysis 7 (6), 14-13.(available also online on ScienceDirec) Received: June, 9