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Fractional Brownian motion Jorge A. Len Departamento de Control - - PowerPoint PPT Presentation

Fractional Brownian motion Jorge A. Len Departamento de Control Automtico Cinvestav del IPN Spring School Stochastic Control in Finance, Roscoff 2010 Jorge A. Len (CinvestavIPN) FBM Roscoff 2010 1 / 62 Contents Introduction


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Fractional Brownian motion

Jorge A. León

Departamento de Control Automático Cinvestav del IPN

Spring School “Stochastic Control in Finance”, Roscoff 2010

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 1 / 62

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SLIDE 2

Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 2 / 62

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SLIDE 3

Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 3 / 62

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SLIDE 4

Stochastic integration

We consider

T

0 · dBs.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 4 / 62

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SLIDE 5

Stochastic integration

We consider

T

0 · dBs.

Here B is a fractional Brownian motion.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 5 / 62

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SLIDE 6

Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 6 / 62

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SLIDE 7

Fractional Brownian motion

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 7 / 62

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SLIDE 8

Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B is a Brownian motion for H = 1/2.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 8 / 62

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SLIDE 9

Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B is a Brownian motion for H = 1/2. B has stationary increments.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 9 / 62

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SLIDE 10

Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B is a Brownian motion for H = 1/2. B has stationary increments : E

  • |Bt − Bs|2

= |t − s|2H.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 10 / 62

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SLIDE 11

Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B is a Brownian motion for H = 1/2. B has stationary increments : E

  • |Bt − Bs|2

= |t − s|2H. For any ε ∈ (0, H) and T > 0, there exists Gε,T such that |Bt − Bs| ≤ Gε,T|t − s|H−ε, t, s ∈ [0, T].

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 11 / 62

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Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B is a Brownian motion for H = 1/2. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 12 / 62

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Properties of fBm

Definition

A Gaussian stochastic process B = {Bt; t ≥ 0} is called a fractional Brownian motion (fBm) of Hurst parameter H ∈ (0, 1) if it has zero mean and covariance fuction RH(t, s) = E (BtBs) = 1 2

  • t2H + s2H − |t − s|2H

. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution. The covariance of its increments on intervals decays asymptotically as a negative power of the distance between the intervals.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 13 / 62

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Properties of fBm

B is a Brownian motion for H = 1/2. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution. The covariance of its increments on intervals decays asymptotically as a negative power of the distance between the intervals : Let t − s = nh and ρH(n) = E [(Bt+h − Bt)(Bs+h − Bs)] ≈ h2HH(2H − 1)n2H−2 → 0.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 14 / 62

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Properties of fBm

B is a Brownian motion for H = 1/2. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution. The covariance of its increments on intervals decays asymptotically as a negative power of the distance between the intervals : Let t − s = nh and ρH(n) = E [(Bt+h − Bt)(Bs+h − Bs)] ≈ h2HH(2H − 1)n2H−2 → 0.

i) If H > 1/2, ρH(n) > 0 and ∞

n=1 ρ(n) = ∞.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 15 / 62

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SLIDE 16

Properties of fBm

B is a Brownian motion for H = 1/2. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution. The covariance of its increments on intervals decays asymptotically as a negative power of the distance between the intervals : Let t − s = nh and ρH(n) = E [(Bt+h − Bt)(Bs+h − Bs)] ≈ h2HH(2H − 1)n2H−2 → 0.

i) If H > 1/2, ρH(n) > 0 and ∞

n=1 ρ(n) = ∞.

ii) If H < 1/2, ρH(n) < 0 and ∞

n=1 ρ(n) < ∞.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 16 / 62

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SLIDE 17

Properties of fBm

B is a Brownian motion for H = 1/2. B has stationary increments. B is Hölder continuous for any exponent less than H. B is self-similar (with index H). That is, for any a > 0, {a−HBat; t ≥ 0} and {Bt; t ≥ 0} have the same distribution. The covariance of its increments on intervals decays asymptotically as a negative power of the distance between the intervals : Let t − s = nh and ρH(n) = E [(Bt+h − Bt)(Bs+h − Bs)] ≈ h2HH(2H − 1)n2H−2 → 0.

i) If H > 1/2, ρH(n) > 0 and ∞

n=1 ρ(n) = ∞.

ii) If H < 1/2, ρH(n) < 0 and ∞

n=1 ρ(n) < ∞.

B has no bounded variation paths.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 17 / 62

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SLIDE 18

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 18 / 62

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SLIDE 19

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 19 / 62

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SLIDE 20

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2. Let Πt = {0 = t0 < t1 < . . . < tn = t} be a partition of [0, t].

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 20 / 62

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SLIDE 21

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2. Let Πt = {0 = t0 < t1 < . . . < tn = t} be a partition of [0, t]. Then, E

n

  • i=1

|Bti − Bti−1|2

  • =

n

  • i=1

|ti − ti−1|2H ≤ |Π|2H−1

n

  • i=1

|ti − ti−1| = t|Π|2H−1 → 0

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 21 / 62

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SLIDE 22

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2. Let Πt = {0 = t0 < t1 < . . . < tn = t} be a partition of [0, t]. Then, E

n

  • i=1

|Bti − Bti−1|2

  • =

n

  • i=1

|ti − ti−1|2H ≤ |Π|2H−1

n

  • i=1

|ti − ti−1| = t|Π|2H−1 → 0 If B were a semimartingale. Then, B = M + V .

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 22 / 62

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SLIDE 23

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2. Let Πt = {0 = t0 < t1 < . . . < tn = t} be a partition of [0, t]. Then, E

n

  • i=1

|Bti − Bti−1|2

  • =

n

  • i=1

|ti − ti−1|2H ≤ |Π|2H−1

n

  • i=1

|ti − ti−1| = t|Π|2H−1 → 0 If B were a semimartingale. Then, B = M + V . Thus 0 = [B] = [M].

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 23 / 62

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SLIDE 24

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H > 1/2. Let Πt = {0 = t0 < t1 < . . . < tn} be a partition of [0, t]. Then, E

n

  • i=1

|Bti − Bti−1|2

  • =

n

  • i=1

|ti − ti−1|2H ≤ |Π|2H−1

n

  • i=1

|ti − ti−1| = t|Π|2H−1 → 0 If B were a semimartingale. Then, B = M + V . Thus 0 = [B] = [M]. Consequently B = V .

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 24 / 62

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SLIDE 25

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H < 1/2.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 25 / 62

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SLIDE 26

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H < 1/2. We have

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 26 / 62

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SLIDE 27

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H < 1/2. We have In : =

n

  • j=1

|Bj/n − B(j−1)/n|2 (d) = 1 n2H

n

  • j=1

|Bj − Bj−1|2 = n1−2H

 1

n

n

  • j=1

|Bj − Bj−1|2

  → ∞.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 27 / 62

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SLIDE 28

FBM is not a semimartingale

Theorem

B is not a semimartingale for H = 1/2. Proof : (i) Case H < 1/2. We have In : =

n

  • j=1

|Bj/n − B(j−1)/n|2 (d) = 1 n2H

n

  • j=1

|Bj − Bj−1|2 = n1−2H

 1

n

n

  • j=1

|Bj − Bj−1|2

  → ∞.

Due to, the ergodic theorem implies that 1 n

n

  • j=1

|Bj − Bj−1|2 → E((B1)2) a.s .

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 28 / 62

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Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 29 / 62

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SLIDE 30

Mandelbrot-van Ness representation

Bt = CH

∞{(t − s)H−1/2 − (−s)H−1/2}dWs +

t

0 (t − s)H−1/2dWs

  • .

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 30 / 62

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SLIDE 31

Mandelbrot-van Ness representation

Bt = CH

t

∞{(t − s)H−1/2 − (−s)H−1/2}dWs +

t

0 (t − s)H−1/2dWs

  • .

Here W is a Brownian motion.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 31 / 62

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SLIDE 32

Representation of fBm on an finite interval

Fix a time interval [0, T] and consider the fBm B = {Bt; t ∈ [0, T]}.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 32 / 62

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SLIDE 33

Representation of fBm on an finite interval

Fix a time interval [0, T] and consider the fBm B = {Bt; t ∈ [0, T]}. Then there exists a Bm {Wt; t ∈ [0, T]} such that Bt =

t

0 KH(t, s)dWs,

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 33 / 62

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SLIDE 34

Representation of fBm on an finite interval

Fix a time interval [0, T] and consider the fBm B = {Bt; t ∈ [0, T]}. Then there exists a Bm {Wt; t ∈ [0, T]} such that Bt =

t

0 KH(t, s)dWs,

where For H > 1/2, KH(t, s) = cHs

1 2 −H

t

s (u − s)H− 3

2uH− 1 2du

s < t.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 34 / 62

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SLIDE 35

Representation of fBm on an finite interval

Fix a time interval [0, T] and consider the fBm B = {Bt; t ∈ [0, T]}. Then there exists a Bm {Wt; t ∈ [0, T]} such that Bt =

t

0 KH(t, s)dWs,

where For H > 1/2, KH(t, s) = cHs

1 2 −H

t

s (u − s)H− 3

2uH− 1 2du,

s < t. For H < 1/2, KH(t, s) = cH

t

s

H− 1

2 (t − s)H− 1 2

−(H − 1 2)s

1 2 −H

t

s uH− 3

2(u − s)H− 1 2du

  • ,

s < t.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 35 / 62

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SLIDE 36

Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 36 / 62

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SLIDE 37

Wiener integrals

Let E be the family of the step functions of the form f =

n

  • i=0

aiI(tj,tj+1].

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 37 / 62

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SLIDE 38

Wiener integrals

Let E be the family of the step functions of the form f =

n

  • i=0

aiI(tj,tj+1]. The Wiener integral with respect to B I(f ) =

n

  • i=0

ai(Bti+1 − Bti) and the space L(B) = {X ∈ L2(Ω) : X = L2(Ω) − lim

n→∞ I(fn), for some {fn} ⊂ E}.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 38 / 62

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SLIDE 39

Wiener integrals

L(B) = {X ∈ L2(Ω) : X = L2(Ω) − lim

n→∞ I(fn), for some {fn} ⊂ E}.

Proposition (Pipiras and Taqqu)

Suppose that H is a inner product space with inner product (·, ·) such that : i) E ⊂ H and (f , g) = E(I(f )I(g)), for f , g ∈ E. ii) E is dense in H. Then H is isometric to L(B) if and only if H is complete.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 39 / 62

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SLIDE 40

Wiener integrals

L(B) = {X ∈ L2(Ω) : X = L2(Ω) − lim

n→∞ I(fn), for some {fn} ⊂ E}.

Proposition (Pipiras and Taqqu)

Suppose that H is a inner product space with inner product (·, ·) such that : i) E ⊂ H and (f , g) = E(I(f )I(g)), for f , g ∈ E. ii) E is dense in H. Then H is isometric to L(B) if and only if H is complete. Moreover, the isometry is an extension of I.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 40 / 62

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SLIDE 41

Wiener integrals

Proposition (Pipiras and Taqqu)

Suppose that H is a inner product space with inner product (·, ·) such that : i) E ⊂ H and (f , g) = E(I(f )I(g)), for f , g ∈ E. ii) E is dense in H. Then H is isometric to L(B) if and only if H is complete. Moreover, the isometry is an extension of I. Remarks a) For H < 1/2, H = {f ∈ L2([0, T]) : f (s) = cHs

1 2 −H(I 1 2 −H

T− uH− 1

2φf (u))(s)

for some φf ∈ L2} with (Iα

T−g)(s) = 1 Γ(α)

T

s (x − s)α−1g(x)dx.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 41 / 62

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SLIDE 42

Wiener integrals

Proposition (Pipiras and Taqqu)

Suppose that H is a inner product space with inner product (·, ·) such that : i) E ⊂ H and (f , g) = E(I(f )I(g)), for f , g ∈ E. ii) E is dense in H. Then H is isometric to L(B) if and only if H is complete. Moreover, the isometry is an extension of I. Remarks a) For H < 1/2, H = {f ∈ L2([0, T]) : f (s) = cHs

1 2 −H(I 1 2 −H

T− uH− 1

2φf (u))(s)

for some φf ∈ L2} with the inner product (f , g) = (φf , φg)L2([0,T]).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 42 / 62

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SLIDE 43

Wiener integrals

Proposition (Pipiras and Taqqu)

Suppose that H is a inner product space with inner product (·, ·) such that : i) E ⊂ H and (f , g) = E(I(f )I(g)), for f , g ∈ E. ii) E is dense in H. Then H is isometric to L(B) if and only if H is complete. Moreover, the isometry is an extension of I. Remarks b) For H > 1/2, H = {f ∈ D′ : ∃f ∗ ∈ W 1/2−H,2(R) with supp(f ) ⊂ [0, T] such that f = f ∗|[0,T]} with the inner product (f , g) = cH

  • R Ff ∗(x)Fg∗(x)|x|1−2Hdx.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 43 / 62

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SLIDE 44

Wiener integrals

a) For H < 1/2, H = {f ∈ L2([0, T]) : f (s) = cHs

1 2 −H(I 1 2 −H

T− uH− 1

2φf (u))(s)

for some φf ∈ L2} with the inner product (f , g) = (φf , φg)L2([0,T]). b) For H > 1/2, H = {f ∈ D′ : ∃f ∗ ∈ W 1/2−H,2(R) with supp(f ) ⊂ [0, T] such that f = f ∗|[0,T]} with the inner product (f , g) = cH

  • R Ff ∗(x)Fg∗(x)|x|1−2Hdx.

c) W s,2(R) = {f ∈ S : (1 + |x|2)s/2Ff (x) ∈ L2(R)}.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 44 / 62

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SLIDE 45

Representation of Wiener integrals

Moreover, there exists an isometry K ∗

H : H → L2([0, T]) and a

Brownian motion W such that :

1

I(f ) =

T

0 (K ∗ Hf )(s)dWs.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 45 / 62

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SLIDE 46

Representation of Wiener integrals

Moreover, there exists an isometry K ∗

H : H → L2([0, T]) and a

Brownian motion W such that :

1

I(f ) =

T

0 (K ∗ Hf )(s)dWs.

2

K ∗

HI[0,t] = KH(t, ·) with

KH(t, s) = cHs

1 2 −H

t

s (u −s)H− 3

2uH− 1 2du,

s < t and H > 1/2 and KH(t, s) = cH

t

s

H− 1

2 (t − s)H− 1 2

−(H − 1 2)s

1 2 −H

t

s uH− 3

2(u − s)H− 1 2du

  • ,

H < 1/2.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 46 / 62

slide-47
SLIDE 47

Representation of Wiener integrals

Moreover, there exists an isometry K ∗

H : H → L2([0, T]) and a

Brownian motion W such that :

1

I(φ) =

T

0 (K ∗ Hφ)(s)dWs.

2

K ∗

HI[0,t] = KH(t, ·) .

3

For H < 1/2, K ∗

Hf = φf ,

with f (s) = cHs

1 2 −H(I 1 2 −H

T− uH− 1

2φf (u))(s), s ∈ [0, T]. Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 47 / 62

slide-48
SLIDE 48

Representation of Wiener integrals

Moreover, there exists an isometry K ∗

H : H → L2([0, T]) and a

Brownian motion W such that :

1

I(φ) =

T

0 (K ∗ Hφ)(s)dWs.

2

K ∗

HI[0,t] = KH(t, ·) .

3

For H < 1/2, K ∗

Hf = φf ,

with f (s) = cHs

1 2 −H(I 1 2 −H

T− uH− 1

2φf (u))(s), s ∈ [0, T]. 4

For H > 1/2 and φ ∈ E, (K ∗

Hφ)(s) = cHs1/2−H(I H− 1

2

T− uh− 1

2φ(u))(s), s ∈ [0, T]. Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 48 / 62

slide-49
SLIDE 49

Contents

1

Introduction

2

FBM and Some Properties

3

Integral Representation

4

Wiener Integrals

5

Malliavin Calculus

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 49 / 62

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SLIDE 50

Derivative operator

Let S be the set of smooth functional of the form F = f (B(φ1), . . . , B(φn)), where n ≥ 1, f ∈ C ∞

b (Rn) and φi ∈ H.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 50 / 62

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SLIDE 51

Derivative operator

Let S be the set of smooth functional of the form F = f (B(φ1), . . . , B(φn)), where n ≥ 1, f ∈ C ∞

b (Rn) and φi ∈ H. The derivative operator is

given by DF =

n

  • i=1

∂f ∂xi (B(φ1), . . . , B(φn))φi.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 51 / 62

slide-52
SLIDE 52

Derivative operator

Let S be the set of smooth functional of the form F = f (B(φ1), . . . , B(φn)), where n ≥ 1, f ∈ C ∞

b (Rn) and φi ∈ H. The derivative operator is

given by DF =

n

  • i=1

∂f ∂xi (B(φ1), . . . , B(φn))φi. The operator D is closable from L2(Ω) into L2(Ω; H).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 52 / 62

slide-53
SLIDE 53

Divergence operator

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 53 / 62

slide-54
SLIDE 54

Transfer principle

Let W be the Brownian motion such that Bt =

t

0 KH(t, s)dWs

t ∈ [0, T]. Then,

1

DomD=DomDW and K ∗

HDF = DWF.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 54 / 62

slide-55
SLIDE 55

Transfer principle

Let W be the Brownian motion such that Bt =

t

0 KH(t, s)dWs

t ∈ [0, T]. Then,

1

DomD=DomDW and K ∗

HDF = DWF.

2

φ ∈Domδ if and only if K ∗

Hφ ∈DomδW and

δ(φ) = δW(K ∗

Hφ).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 55 / 62

slide-56
SLIDE 56

Transfer principle

1

DomD=DomDW and K ∗

HDF = DWF.

2

φ ∈Domδ if and only if K ∗

Hφ ∈DomδW and

δ(φ) = δW(K ∗

Hφ).

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H). Remark For H = 1/2, H = L2([0, T]).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 56 / 62

slide-57
SLIDE 57

Transfer principle

1

DomD=DomDW and K ∗

HDF = DWF.

2

φ ∈Domδ if and only if K ∗

Hφ ∈DomδW and

δ(φ) = δW(K ∗

Hφ).

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H). Remark For H = 1/2, H = L2([0, T]). So E

  • FδW(u)
  • = E

T

0 (DW s F)usds

  • ,

F ∈ S, u ∈ L2(Ω × [0, T]).

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 57 / 62

slide-58
SLIDE 58

Divergence operator

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Proposition

Let u ∈Dom δ and F ∈ Dom D such that (Fu) ∈ L2(Ω; H) and (Fδ(u) − DF, uH) ∈ L2(Ω). Then Fδ(u) = δ(Fu)

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 58 / 62

slide-59
SLIDE 59

Divergence operator

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Proposition

Let u ∈Dom δ and F ∈ Dom D such that (Fu) ∈ L2(Ω; H) and (Fδ(u) − DF, uH) ∈ L2(Ω). Then Fδ(u) = δ(Fu) + DF, uH.

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 59 / 62

slide-60
SLIDE 60

Divergence operator

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Proposition

Let u ∈Dom δ and F ∈ Dom D such that (Fu) ∈ L2(Ω; H) and (Fδ(u) − DF, uH) ∈ L2(Ω). Then Fδ(u) = δ(Fu) + DF, uH. Proof : Let G ∈ S, then

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 60 / 62

slide-61
SLIDE 61

Divergence operator

The divergence operator δ is the adjoint of D. It is defined by the duality relation E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Proposition

Let u ∈Dom δ and F ∈ Dom D such that (Fu) ∈ L2(Ω; H) and (Fδ(u) − DF, uH) ∈ L2(Ω). Then Fδ(u) = δ(Fu) + DF, uH. Proof : Let G ∈ S, then E (DG, FuH) = E (D(GF), uH − G DF, uH)

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 61 / 62

slide-62
SLIDE 62

Divergence operator

The divergence operator δ is the adjoint of D. E (Fδ(u)) = E (DF, uH) , F ∈ S, u ∈ L2(Ω, H).

Proposition

Let u ∈Dom δ and F ∈ Dom D such that (Fu) ∈ L2(Ω; H) and (Fδ(u) − DF, uH) ∈ L2(Ω). Then Fδ(u) = δ(Fu) − DF, uH. Proof : Let G ∈ S, then E (DG, FuH) = E (D(GF), uH − G DF, uH) = E (G (Fδ(u) − DF, uH)) .

Jorge A. León (Cinvestav–IPN) FBM Roscoff 2010 62 / 62