• Keine Ergebnisse gefunden

The above inequality and (I.30) imply the desired sup

k∈N

((Sk((

Ψ2pscΨsup

k∈N

Ξk<∞,

which, in view of Equation (I.31), implies also the finiteness of supk∈NE Ψ(

2Sk) . Therefore, the sequence

supt∈R

+((E

ξkGkt ((2

2

is uniformly integrable since it satisfies the de La Vall´ee Poussin theorem

for the Young function Φ.

I.6. The Skorokhod space

In this section we present the Skorokhod space D(E) which is the natural path-space for semi-martingales adapted to some filtration that satisfies the usual conditions. The weaker of the topologies the Skorokhod space will be endowed with, will be the (Skorokhod) J1−topology. The J1−topology is metrisable and makes the space to be complete and separable, i.e. D(E) becomes Polish. The main reference of this section is Jacod and Shiryaev [41].

Definition I.107. (i) The function α: R+ −−→ E will be called c`adl`ag ifαis right-continuous and for every t∈Rthe valueα(t−) exists.

(ii) The E−Skorokhod space is the space of all c`adl`ag, E−valued functions defined on R+ and it will be denoted byD(E),i.e.

D(E) :=:R+−−→E, αis c`adl`ag}. The zero function will be denoted by 0.

(iii) The filtration D(E) :=

Dt(E)

t∈R+ is the right-continuous filtration obtained by the filtration generated by the canonical projections, i.e.

Dt(E) := )

u>t

σ

{α(s), α∈D(E) ands≤u} Moreover,D(E) :=σ

{α(s), α∈D(E) ands∈R+} .

We will mostly denote the elements ofD(R) with small Greek letters, usually the first three one of the Greek alphabet, i.e. α, β andγ.

Definition I.108. (i) Let λ : R+ −−→ R+ be continuous and increasing such that λ(0) = 0 and limt→∞λ(t) =∞.Thenλwill be calledtime change.

(ii) The set of all time changes will be denoted by Λ,i.e.

Λ :=:R+−−→R+, λis continuous and increasing withλ(0) = 0, lim

t→∞λ(t) =∞}. (iii) To eachα∈D(E) and each intervalI⊂R+ we associate themoduli

w(α;I) := sup

s,tIα(s)−α(t)2

and

wN (α, θ) := inf

&

maxir w(α; [ti−1, ti)),0 =t0< t1<· · ·< tr=N with inf

i<r(ti−ti−1)≥θ '

. Theorem I.109. There is a metrisable topology onD(E), called the Skorokhod J1topology, for which the space is Polish. Moreover, the following are equivalent:

(i) The sequencek)k∈N converges to α under the J1−topology.

(ii) There exists a sequencek)k∈NΛ such that sup

s∈R+

k(s)−s| −−−−→

k→∞ 0 and sup

sN

αkk(s))−α(s)2−−−−→

k→∞ 0, for all N∈N. (I.32) The metric under which D(E)becomes Polish will be denoted by δJ1(E).21 Moreover, the associated Borel σ−algebra equals theσ−algebra D(E), which was defined Definition I.107.(ii).

21We will omit the state space from the notation, when it is clear to which one we refer.

Proof. See Jacod and Shiryaev [41, Theorem VI.1.14 a)]. For the definition ofδJ1 see [41, Definition VI.1.26]. In [41, Lemma VI.1.30, Lemma VI.1.31, Corollary VI.1.32] it is proven that δJ1 is indeed a metric. In [41, Lemma VI.1.33] it is proven that (D(E), δJ1) is complete. The separability of the space is proven in [41, Corollary VI.1.43 a)].

For (i)⇒(ii) see [41, Lemma VI.1.31], while for the implication (ii)⇒(i) see [41, Lemma VI.1.44].

For the validity of the statement regarding the Borel σ−algebra and D(E) see [41, Lemma VI.1.45,

Lemma VI.1.46].

Remark I.110. Recall the well-known fact that a c`adl`ag functionαhas at most countably many points of discontinuities; see Billingsley [7, Section 12, Lemma 1] for the case the domain is [0,1] and then one can easily conclude for the caseR+, as a countable union of finite sets is a countable set. Therefore, the function ∆αis zero except from a set of Lebesgue measure zero.

Theorem I.111. A set D ⊂D(E)is relatively compact for the Skorokhod J1−topology if and only if for every N∈Nboth of the following conditions hold:

sup

α∈D

sup

s≤N

kα(s)k2<∞and lim

θ↓0sup

α∈D

w0N(α, θ) = 0for every N∈N.

Proof. See Jacod and Shiryaev [41, Theorem VI.1.14 b)]. More precisely, [41, Lemma VI.1.39]

proves the necessity and [41, Corollary VI.1.43] provides the sufficiency.

We will say that the sequence (αk)k∈N is aδJ1(E)−convergent sequence if it satisfies Theorem I.109 and we will denote its convergence also by αk −−−−−→J1(E) α. Apart from the J1−topology we will equip the spaceD(E) with two more topologies, which are presented below.

Notation I.112. Letα, β∈D(E).

Thelocally uniform topology is the one associated with the metricδlu, where δlu(α, β) =X

k∈N

1

2k w(α−β; [0, k]∧1 .

The convergence of a sequence (αk)k∈N toα under the metricδlu will be denoted byαk−−→lu α.

The uniform topology is associated with the norm k · k, wherekαk := sups∈R

+kα(s)k2. The convergence of a sequence (αk)k∈Ntoαunder the metricδk·k will be denoted byαk−−−−→k·k α.

The next proposition provides the relationship betweenδJ1(D(E)) andδlu.

Proposition I.113. (i) The J1−topology is weaker than the locally uniform topology.

(ii) Let α∈D(E)be a continuous function. Then

αk−−−−−−−→J1(D(E)) α if and only if αk −−−→δlu α.

Proof. See Jacod and Shiryaev [41, Proposition VI.1.17].

Remark I.114. For the metricsδJ1(D(E))luandδk·k holds

δJ1(D(E))(α,0) =δlu(α,0) for everyα∈D(E) and

δJ1(D(E))(α, β)≤δlu(α, β)≤ sup

s∈R+

kα(s)−β(s)k2 for everyα, β∈D(E).

The following lemma is essentially [35, Example 15.11]. We provide an alternative proof in some special cases of the aforementioned result since we will need later to elaborate on similar cases.

Lemma I.115. Let (E,k · k2), (xki)k∈

N⊂E and(tki)k∈

N⊂R+, fori= 1,2, such that tk1< tk2 for every k∈N.

(i) If tk1−−→ ∞, then|·| xk11[tk1,∞) J1(E)

−−−−−→0.

(ii) If xk1 −−−→k·k2 0, then xk11[tk1,∞) J1(E)

−−−−−→0.

(iii) If tk1−−→|·| t1 ∈R+ andxk1−−−→k·k2 x1 , thenxk11[tk1,∞) J1(E)

−−−−−→x1 1[t1 ,∞).

I.6. THE SKOROKHOD SPACE 31

(iv) If tk1−−→|·| t1 ∈R+,tk2 −−→ ∞|·| andxk1 −−−→k·k2 x1 , then xk11[tk1,∞)+xk21[tk2,∞)

J1(E)

−−−−−→x1 1[t1 ,∞).

(v) If tk1−−→|·| t1 ,tk2 −−→|·| t2 , wheret1 < t2 ∈R+,xk1−−−→k·k2 x1 andxk2−−−→k·k2 x2 then xk11[tk1,∞)+xk21[tk2,∞)

J1(E)

−−−−−→x1 1[t1 ,∞)+x2 1[t2 ,∞).

Proof. For (i) and (ii), since the limit function is (trivially) continuous, we can use Proposition I.113 in order to justify that we can choose without loss of generality λk = Id for every k ∈ N. In view of Theorem I.109 it is therefore only left to prove that

sup

s≤N

k(s)k2−−→0 for everyN ∈N.

(i) Assume that tk1 −−→ ∞. Then for every|·| N ∈N there exists a k0(N)∈N such thattk1 ≥N for every k≥k0(N).Therefore, for every fixedN ∈N, it holds sups≤Nk(s)k2= 0 for everyk≥k0(N).

(ii) Assume now xk1 −−−→k·k1 0,i.e. for everyε >0 there exists ak0(ε)∈Nsuch thatkxkk2 < ε.Let us fix an ε >0 and anN ∈N, then sups≤Nkxkk2< ε for everyk≥k0(ε), which allows us to conclude.

Observe that the choice ofk0 is independent ofN.

For (iii)-(v) see He et al. [35, Example 15.11], which deals with convergence of piecewise constant functions with possibly infinitely many jumps. For this reason recall conditions (i)-(iii) of He et al. [35,

Remark 15.32] for the detailed properties of the jump times.

Remark I.116. The alert reader may have observed the condition imposed in Lemma I.115.(v) for the jump-timest1 and t2 , i.e. t1 < t2 .Let us examine what may fail in the case t1 =t2 . To this end we set the following framework: assume that tk1 ↑ ¯tand tk2 ↓¯t, i.e. tk1 →¯t with tk1 ≤¯t andtk2 →¯t with t¯≤tk2. Then, in view of Lemma I.115.(iii) we have that

αk1:=1[tk1,∞) J1(R)

−−−−→1t,∞) andαk2 :=−1[tk2,∞) J1(R)

−−−−→ −1t,∞). (I.33) On the other hand, the sequence (αk1k2)k∈Ndoes not converge under the J1−topology, since (1[tk1,tk2))k∈N fails to be aδJ1(R)−Cauchy sequence. For the last claim see the comments right after Billingsley [7, Section 12, Lemma 2, p. 126] in conjunction with [7, Example 12.2].

Let us explain a bit more this (counter-)example. By Theorem I.109 we have that there exists a sequence of time changes (λki)k∈N, for i = 1,2, such that the respective convergence in (I.33) hold.

However, the sum of the converging sequences is not converging, because we cannot find a sequence of time changes (λk)k∈Nsuch that it isfinally commonfor the sequences (1[tk1,∞))k∈N, (1[tk2,∞))k∈Nand such that (I.33) holds.

After providing the main results for the Skorokhod J1−topology, we need to clarify some details.

Remark I.117. (i) The space (D(E), δJ1(E)) is not a topological vector space. This is direct by Remark I.116 which proves that the addition is notδJ1−continuous.

(ii) The spaceD(Rp×q) can be identified withD(R)p×q. Let us endow the space D(R)p×q :={α:R+−−→Rp×q, αij is c`adl`ag for every 1≤i≤p,1≤q}.

with the product topology, which is compatible with the metric δΠ(α, β) :=

p

X

i=1 q

X

j=1

δJ1(R)ij, βij).

However, the topological spaces (D(Rp×q), δJ1(Rp×q)) and (D(R)p×q, δΠ) do not coincide. Indeed, by Remark I.116 we have

δΠk1, αk2),(1t,∞),1t,∞))

−−→0 butδJ1(Rp×q)k1, αk2),(1t,∞),1t,∞)) 6−−→0.

Now it may be clear to the reader why we have always indicated the state space in the notation of the metric. We will (almost) always indicate the state space in the notation for the sake of clarity.

(iii) For notational convenience we have stated the main results for the space D(E) and not for the spaceD(Rd), wheredis a natural integer, as in Jacod and Shiryaev [41, Chapter VI]. This can be done without loss of generality by defining an isometry from every finite dimensional space (E,k · k2) to the space (Rp,k · k2), wherepdenotes the dimension of the space E.

The following are classical criteria for obtaining the joint convergence.

Proposition I.118. Let(αk)k∈

N⊂D(E). The convergenceαk−−−−−→J1(E) α holds if and only if whenever (tk)k∈N⊂R+ be such thattk−−→t the following conditions hold:

(i)

αk(tk)−α(t) 2

αk(tk)−α(t−)

2−−→0.

(ii) If

αk(tk)−α(t)

2 −−→ 0 and (sk)k∈N ⊂ R+ be such that tk ≤ sk for every k ∈ N and sk −−→t, then

αk(sk)−α(t)

2−−→0.

(iii) If

αk(tk)−α(t−)

2 −−→ 0 and (sk)k∈N ⊂ R+ be such that sk ≤ tk for every k ∈ N and sk −−→t, then

αk(sk)−α(t−)

2−−→0.

Proof. See Ethier and Kurtz [33, Proposition 3.6.5].

Remark I.119. Assumeαk−−−−−→J1(E) αandtk−−→t. Then by Proposition I.118.(i) we have that the only possible limit points of the sequences αk(tk)

k∈N, αk(tk−)

k∈Nareα(t) andα(t−).

Proposition I.120. Let(αk)k∈

N⊂D(E1)and(βk)k∈

N⊂D(E2). The convergence(αk, βk)−−−−−−−−→J1(E1×E2), β)holds if and only if

(i) αk −−−−−→J1(E1) α, (ii) βk −−−−−→J1(E2) β and

(iii) for everyt∈R+there exists a sequence(tk)k∈Nwithtk−−→tand such that∆αk(tk)−−−→k·k2 ∆α(t) and∆βk(tk)−−−→k·k2 ∆β(t).

Proof. For the implication (i)⇒(ii) apply Jacod and Shiryaev [41, Proposition VI.2.1 a)] and then conclude using Remark I.117.(i). For the implication (ii)⇒(i) apply [41, Proposition VI.2.2 b)] for the spacesD(E1),D(E2) and then conclude using Remark I.117.(i).

Looking back to Remark I.116, it is clear that there exists no sequence (tk)k∈N that satisfies the condition (iii) of Proposition I.120 for the point ¯t.

The following proposition will be helpful to prove Corollary I.125.

Proposition I.121. Let(αk)k∈Nbe a δJ1(E)−convergent sequence and t∈R+.

(i) There exists a sequence (tk)k∈N such that tk −−→t, αk(tk)−−→α(t)and αk(tk−)−−→α(t−).

Therefore, the convergence∆αk(tk)−−−→k·k2 ∆α(t)also holds.

(ii) Let ∆α(t)6= 0 and(tk)k∈N be a sequence such thattk −−→t and∆αk(tk)−−→∆α(t). Then, any other sequence (sk)k∈N for which holdssk −−→t and∆αk(sk)−−−→k·k2 ∆α(t)coincides with(tk)k∈N fork large enough.

Proof. See Jacod and Shiryaev [41, Proposition VI.2.1].

The next classical result informs us that we can obtain the convergence of the sum of jointly convergent sequences.

Corollary I.122. Let (αk, βk)

k∈N be aδJ1(E×E)−convergent sequence. Then (αk, βk, αkk)−−−−−−−−−→J1(E×E×E), β, α).

Proof. We will prove it forE=R. Let, therefore, (αk, βk)k∈

N⊂D(R) and assume that (αk, βk) J1(R

2)

−−−−−→(α, β).

Choose a t ∈R+ such that (∆α(t),∆β(t))6= 0. Then, by Proposition I.121 there exists a sequence (tk)k∈N such thattk −−→t and

(∆αk(tk),∆βk(tk))−−−→k·k2 (∆α(t),∆β(t)).

In particular, we can conclude that ∆αk,1(tk) + ∆αk,2(tk) −−→|·| ∆α∞,1(t) + ∆α∞,2(t). Now, we can conclude by Proposition I.120 that

k, βk, αkk)−−→(α, β, α).

I.6. THE SKOROKHOD SPACE 33

Remark I.123. The result above does not depend on the dimensions of the state spaces, and can be generalized inductively to an arbitrary number of sequences, as long as a common converging sequence exists.

A convenient variation of the Proposition I.121 is provided in Coquet, M´emin, and S lomi´nski [23, Lemma 1], which we state also here.

Lemma I.124. Let (αk)k∈N⊂D(Rp). The convergenceαk J1(R

p)

−−−−−→αholds if and only if the following hold

(i) αk,i −−−−→J1(R) α∞,i, fori= 1, . . . , p, (ii)

q

X

i=1

αk,i−−−−→J1(R)

q

X

i=1

α∞,i,forq= 1, . . . , p.

We can provide now a corollary which will be proven quite convenient, since it allows us to conclude the joint convergence of two sequences once we can find a common element between the elements of the two converging sequences.

Corollary I.125. Let (αk)k∈

N, resp. (βk)k∈

N, be a δJ1(Rp1)−convergent, resp. δJ1(Rp2)−convergent, sequence. If there exist 1 ≤ i1 ≤ p1, 1 ≤ i2 ≤ p2 such that αk,i1 = βk,i2 for every k ∈ N, then (αk, βk) J1(R

p1×Rp2)

−−−−−−−−−→(α, β).

Proof. We will apply Proposition I.120. It is only left to verify that condition (iii) of the aforemen-tioned proposition holds. To this end let us fix at∈R+.By (i), resp. (ii), and Proposition I.121 we have that there exists a sequence (tk1)k∈N, resp. (tk2)k∈N, such that

∆αk(tk1)−−→∆α(t), resp. ∆βk(tk2)−−→∆β(t).

However, by (iii) and Proposition I.121.(ii) we have that (tk1)k∈N and (tk2)k∈N finally coincide. Therefore, we can choose one of the two time sequences, say (tk1)k∈N, in order to conclude

∆αk(tk1)−−→∆α(t), resp. ∆βk(tk1)−−→∆β(t),

Proposition I.120.(iii) is satisfied.

We close this part with another convenient result.

Lemma I.126. Let (αk)k∈

N⊂D(E) andf : (E,k · k2)−→(Rp,k · k2)be continuous. Ifαk −−−−→J1(E) α then f(αk) J1(R

p)

−−−−−→f(α).

Proof. The continuity off allows us to apply Proposition I.120.

I.6.1. J1−continuous functions. The aim of this sub–sub–section is the following: for a given δJ1(E)−converging sequence (αk)k∈

Nand a given (not necessarily continuous) function g :E −→R, we need to determine suitable conditions for the function gand a setI⊂E such that

X

0<t≤·

g(∆αk(t))1I(∆αk(t))−−−−→J1(R) X

0<t≤·

g(∆α(t))1I(∆α(t)). (I.34) This is Proposition I.134, which refines the classical result Jacod and Shiryaev [41, Corollary VI.2.8], and it will be crucial for constructing in Chapter III a family of J1−convergent sequences of submartingales. In order to obtain Corollary I.133, we need to refine another classical result, namely [41, Proposition VI.2.7];

the refinement of the latter is Proposition I.132. For simplicity, we provide the results forE =Rq. Before we proceed we introduce the necessary notation and provide a simple example, which will clarify to a great extend the main idea of Proposition I.132.

Definition I.127. Forβ∈D(Rq) andγ∈D(R) we introduce the sets U(β) :={u >0,∃t >0 withk∆β(t)k2=u}, W(γ) :={u∈R\ {0},∃t >0 with ∆γ(t) =u}

and

I(γ) :={(v, w)⊂R, v < wwithvw >0 andv, w /∈W(γ)}.

Forα∈D(Rq) we define the set J(α) :=nYq

i=1

Ii, whereIi∈ I(αi)∪

R for every i= 1, . . . , qo

\ Rq .

The setW(γ), which is at most countable, collects the heights of the jumps of a real-valued function γ. The setI(γ) collects all the open intervals of R\ {0} with boundary points of the same sign, which, moreover, do not belong toW(γ).

Remark I.128. For the rest of this subsection we will use additionally the notationαsfor the value of the arbitrary α∈D(Rq) at the points.

Notation I.129. Letα∈D(Rm) andI:=Qm

i=1Ii∈ J(α).

(i) We define the time points

t0(α, θ) := 0, tn+1(α, θ) := inf{t > tn(α, θ),

∆αt

2> θ}, n∈N. If{t > tn(α, θ),

∆αt

2> θ}=∅, then we settn+1(α, θ) :=∞.

(ii) To the set I we associate the set of indices JI :=

i∈ {1, . . . , m}, Ii6=R}. (I.35) (iii) For the pair (α, I) we define the time points

s0(α, I) := 0, sn+1(α, I) := inf{s > sn(α, I),∆αis∈Ii for everyi∈JI}, n∈N. (I.36) If{s > sn(α, I),∆αis∈Ii for every i∈JI}=∅, then we setsn+1(α, I) :=∞.

The value of sn(α, I) marks the n−th time at which the value of ∆α lies in the set I and it is well-defined since JI 6=∅forI∈ J(α).

Example I.130. Let (tk)k∈

N ⊂ R+, (xk)k∈

N ⊂ R be such that tk −−→ t and xk ↓ x ∈ R\ {0}.

Define γ·k :=xk1[tk,∞)(·), for every k∈N. By Lemma I.115.(iii), we have γk −−−−→J1(R) γ.On the other hand, for I := (12x,32x) holds s1k, I) = tk for all but finitely many k and s1, I) = t, i.e.

s1k, I)−−−−→

k→∞ s1, I). Moreover, for w > x we also have

∆γtkk1(x,w)(∆γtkk) =xk1(x,w)(xk) =xk for all but finitely manyk∈N, and

∆γt1(x,w)(∆γt) =x1(x,w)(x) = 0.

Therefore, forR3x7−→g x1(x,w)(x)

g(∆γsk1k,I)) = ∆γktk1(x,w)(∆γtkk)−−−−→

n→∞ x6= 0 = ∆γt1(x,w)(∆γt) =g(∆γs1)), and for this reason wecannot obtain the convergence

∆γtkk1(x,w)(∆γtnk)1(x,w)(·)−−−−→J1(R) ∆γt1(x,w)(∆γt)1(x,w)(·).

We can remedy the problem appearing in the previous example by not allowing elements ofW(γ) to be endpoints of the interval appearing in the indicator. Recall thatW(γ) is at most countable, therefore we are allowed to choose values for the endpoints from a dense subset ofR\ {0}. More precisely, we will choose intervals fromI(γ) so that only finitely many jumps occur on any every compact time-interval.

For the rest of this subsection we adopt a convenient abuse of notation and we will assume the extended positive real line [0,∞] endowed with a metric ˜δ|·| which extends the usual metric ofR+ and for which ˜δ|·|(∞,∞) = 0. Moreover, the convergence of a sequence (tk)k∈N ⊂[0,∞] to the symbol ∞ will be understood as follows: either tk = ∞ for every k ∈ N or for the subsequence (tkl)l∈N, where (kl)l∈N:={k∈N, tkl <∞}, tkl −−→ ∞ in the usual sense. In this case, we will denote the convergence of a sequence (tk)k∈N⊂[0,∞] to the symbol∞as usually by tk −−→ ∞.

Proposition I.131. Fixq, n∈N.

(i) The functionD(Rq)3α7−→tn(α, θ)∈R+ is continuous at each point αsuch that θ /∈U(α).

(ii) If tn(α, θ) <∞, then the function D(Rq)3 α7−→ ∆αtn(α,θ) ∈Rq is continuous at each point α such that θ /∈U(α).

I.6. THE SKOROKHOD SPACE 35

Proof. See [41, Proposition VI.2.7].

The following proposition refines the above result.

Proposition I.132. Fixq, n∈N.

(i) The functionD(Rq)3α7−→sn(α, I)∈R+ is continuous at each point (α, I)∈D(Rq)× J(α).

(ii) If sn(α, I)<∞, I ∈ J(α), then the function D(Rq)3α7−→∆αsn(α,I)∈Rq is continuous.

Proof. Let (αk)k∈

Nbe such thatαk J1(R

q)

−−−−−→αandI:=Qq

i=1Ii∈ J(α).Observe thatJI 6=∅, by definition ofJ(α). We definesk,n:=snk, I), fork∈Nandn∈N.

(i) The convergence sk,0 −−−−→

k→∞ s∞,0 holds by definition. Assume that the convergence sk,n −−−−→

k→∞

s∞,nholds for some arbitraryn∈N. We will prove that the convergencesk,n+1−−−−→

k→∞ s∞,n+1holds also.

For the following, fix a positive numberθIsuch thatθI ∈ ∪/ i∈JI{|u|, u∈W(α∞,i)} and θI< 1

qmin∪i∈JI{|v|, v∈∂Ii}.22 Recalling the Notation I.129.(i), we have for every i∈JI that

t∈R+,|∆α∞,i|> θI =n

tl α∞,i, θI

<∞, l∈N o

. (I.37)

In other words, the set

tl α∞,i, θI

< ∞, l ∈ N is another way to write the set of times that α∞,i exhibits a jump of height greater thanθI.

Case 1: s∞,n+1<∞.

By property (I.37), there exist uniqueli,n, li,n+1∈Nwithli,n< li,n+1 such that

tli,n∞,i, θI ) =s∞,nand tli,n+1∞,i, θI ) =s∞,n+1 for everyi∈JI. (I.38) By Proposition I.131 and the above identities we obtain

tli,nk,i, θI)−−−−→

k→∞ s∞,n and ∆αk,i

tli,nk,iI)−−−−→

k→∞ ∆α∞,is∞,n for everyi∈JI, (I.39) as well as

tli,n+1k,i, θI)−−−−→

k→∞ s∞,n+1 and ∆αk,i

tli,n+1k,iI)−−−−→

k→∞ ∆α∞,is∞,n+1 for every i∈JI. (I.40) Recall, now, the induction hypothesis, i.e. the convergence sk,n −−−−→

k→∞ s∞,n is true. The Proposi-tion I.121.(ii) guarantees that every sequence (rk)k∈N which converges to the time points∞,n and it is such that ∆αk,irk −−−−→

k→∞ ∆α∞,is∞,n, for some i= 1, . . . , q, then it finally coincides with (sk,n)n∈N.Therefore, in view of the Convergence (I.39) we can obtain that

tli,nk,i, θI)−sk,n

k∈N∈c00(N), for every i∈JI, (I.41) where c00(N) :={(xm)m∈N⊂RN,∃m0∈Nsuch thatxm= 0 for everym≥m0}.Define fori∈JI

kn,i0 := max{k∈N, tli,nk,i, θI)6=sk,n}<∞.

SinceJI is a finite set, the number

¯k0n:= max

kn,i0 , i∈JI is well–defined and finite, therefore

sli,nk,i, U) =sk,n, for every k >¯kn0 and for every i∈JI. (I.42) Now, in view of Convergence (I.40) we can conclude the induction step once we prove the analogous to (I.41) forn+ 1 in place ofn,i.e.

(tli,n+1k,i, θI)−sk,n+1)k∈N∈c00(N), for everyi∈JI. (I.43) At this point we distinguish two cases:

Case 1.1: For everyi∈JI, holdsli,n+1= 1 +li,n.

22Recall that∂Adenotes the| · |−boundary of the setAR.

By Proposition I.121.(ii), Convergence (I.40) and the convergenceαk J1(R

q)

−−−−−→α, we can conclude that

tli,n+1k,i, θI )−tlj,n+1k,j, θI )

∈c00(N), for everyi, j∈JI. (I.44) Therefore, we can fix hereinafter an index from JI and we will do so for µ := minJI, i.e. µ is the minimum element ofJI. Define

kn+1,i0 := max{k∈N, tli,n+1k,i, θI)6=tlµ,n+1k,µ, θI )}fori∈JI\ {µ}.

By property (I.44), we obtain thatk0n+1,i<∞for everyi∈JI\ {µ}. SinceJI\ {µ} is a finite set, the number

¯k0n+1:= max

kn+1,i0 , i∈JI\ {µ}

is well–defined and finite. Observe that

t1+li,nk,i, θI ) =tli,n+1k,i, θI) =tlµ,n+1k,µ, θI), fork >¯kn+10 and fori∈JI, (I.45) where the first equality holds by the assumption of this sub-case. Moreover, by Convergence (I.40) we obtain that

1 = Y

i∈JI

1Ii(∆αk,i

t1+li,nk,iI)), for all but finitely manyk, (I.46) since ∆α∞,is∞,n+1 lies in the interior of the open intervalIi, for everyi∈JI.

For notational convenience, we will assume that the above convergence holds fork >¯kn+10 . Therefore, fork >k¯0n∨k¯0n+1

sk,n+1 = inf{s > sk,n,∆αk,is ∈Ii for everyi∈JI}= inf \

i∈JI

s > sk,n,∆αk,is ∈Ii (I.41)

=

k>k¯n0

inf \

i∈JI

s > tli,nk,i, θI),∆αk,is ∈Ii

= inf \

i∈JI

ns∈

tli,nk,i, θI), tlµ,n+1k,i, θI )i

,∆αk,is ∈Iio

∧inf \

i∈JI

s > tlµ,n+1k,i, θI ),∆αk,is ∈Ii (I.45)

=

k>¯kn+10

inf \

i∈JI

n s∈

tli,nk,i, θI), t1+li,nk,i, θI )i

,∆αk,is ∈Ii

o

∧inf \

i∈JI

s > t1+li,nk,i, θI ),∆αk,is ∈Ii

= \

i∈JI

t1+li,nk,i, θI ) ∧inf \

i∈JI

s > t1+li,nk,i, θI ),∆αk,is ∈Ii

= \

i∈JI

t1+li,nk,i, θI ) (I.45)= tlµ,n+1k,i, θI ) = tli,n+1k,i, θI), i.e. Property (I.43) indeed holds.

Case 1.2: There exists i∈JI for which holdsli,n+1>1 +li,n.

Define ¯JI : {i∈JI, li,n+1 >1 +li,n} and fixξi ∈(li,n, li,n+1)∩N, for everyi∈J¯I.Recall that by Proposition I.131 holds

k→∞lim tξik,i, θI ) =tξi∞,i, θI ) and lim

k→∞∆αk,i

tξik,iI )= ∆α∞,i

tξi∞,iI ). (I.47) We can conclude that property (I.43) holds, if for every ¯s∈(s∞,n, s∞,n+1) such that

k→∞lim tξik,i, θI ) = ¯sfor every i∈J¯I (I.48) holds

0 = Y

i∈JI\J¯I

1Ii ∆αsk,i¯ Y

i∈J¯I

1Ii ∆αk,i

tξik,iI )

for all but finitely manyk. (I.49)

I.6. THE SKOROKHOD SPACE 37

assume to the contrary that

1 = Y

i∈JI\J¯I

1Ii ∆αsk,i¯ Y

i∈J¯I

1Ii ∆αk,i

tξik,iI )

for all but finitely manyk,

then in view of definition of s∞,n+1, we would also have s∞,n+1 =tξi∞,i, θI) for every i∈J¯I. But, this contradicts property (I.38). The contradiction arises in view of

tξi∞,i, θI )< tli,n+1k,i, θI), sinceξi< li,n+1.

Case 2: s∞,n+1=∞.

We distinguish two cases:

Case 2.1: s∞,n<∞

Using the same arguments as the ones used in Property (I.38) fors∞,n, we can associate totn∞,i, θI) a unique natural number li,n such that Convergence (I.39) holds. Moreover, by definition ofs∞,n+1 we obtain that

{s > s∞,n,∆α∞,is ∈Ii for everyi∈JI}=∅, or, equivalently,

for everys > s∞,n there exists ani∈JI such that ∆α∞,i6∈Ii. (I.50) Assume, now, that

lim inf

k→∞ sk,n+1= ¯s, for some ¯s∈(sk,n,∞).

Therefore, there exists (kl)l∈N such thatskl,n+1−−−→

l→∞ s. Equivalently, ∆α¯ skkl,nl,i +1 ∈Ii for all but finitely many l for every i ∈ JI. By convergence αk J1(R

q)

−−−−−→ α, Proposition I.120.(iii) and convergence skl,n+1 −−−→

l→∞ s, we conclude that ∆α¯ ∞,i¯s ∈ Ii, for every i ∈ JI. But this contradicts the assumption s∞,n+1=∞in view of its equivalent form (I.50).

Case 2.2: s∞,n=∞.

By definition ofsk,n+1holds

sk,n< sk,n+1 wheneversk,n<∞, fork∈N, n∈N, and

sk,n+1=∞wheneversk,n=∞, fork∈N, n∈N. Therefore, induction hypothesissk,n−−−−→

k→∞ s∞,nand the above yield sk,n+1−−−−→

k→∞ ∞=s∞,n+1.

(ii) Assume that there exist n ∈ N and I ∈ J(α) such that s∞,n < ∞. By (i), we have that sk,n −−−−→

k→∞ s∞,n, which in conjunction with convergence αk J1(R

q)

−−−−−→ α and Proposition I.120 implies that

∆αksk,n−−−−→

k→∞ ∆αs∞,n.

Corollary I.133. Let αk J1(R

q)

−−−−−→α andI∈ J(α). Define ˆ

n:=

(max{n∈N, sn, I)<∞}, if {n∈N, sn, I)<∞} is non–empty and finite,

∞, otherwise.

Then for every functiong:Rq →Rwhich is continuous on C:=

q

Y

i=1

Ai, whereAi :=

(W(α∞,i), ifi∈JI,

W(α∞,i)∪ {0}, ifi∈ {1, . . . , q} \JI, and for every 0≤n≤nˆ holds

g(∆αksnk,I))−−−−→

k→∞ g(∆αsn,I)).

In particular, for the c`adl`ag functions

β·k:=g(∆αsknk,I))1[snk,I),∞)(·), fork∈N, the convergence βk −−−−→J1(R) β holds.

Proof. Fix ann∈Nsuch thatn≤ˆn.By Proposition I.132.(ii) holds

∆αksnk,I)−−−−→

k→∞ ∆αsn(α,∞,I), where ∆α∞,isn,I)

(W(α∞,i), ifi∈JI,

W(α∞,i)∪ {0}, ifi∈ {1, . . . , q} \JI. Therefore, by definition of the timesn, I) and of the setCholds

g(∆αksnk,I))−−−−→

k→∞ g(∆αsn,I)). (I.51)

By Proposition I.132.(i), the above convergence and Lemma I.115 we obtain the convergence βk−−−−→J1(R) β.

Proposition I.134. Fix some subsetI:=Qq

i=1Ii of Rq and a function g:Rq →R. Define the map D(Rq)3α7−→α[g, I] := (αˆ 1, . . . , αq, αg,I)∈D(Rq+1),

where

α·g,I:= X

0<t≤·

g(∆αt)1I(∆αt). (I.52)

Then, the mapα[g, I]ˆ isJ1−continuous at each pointαfor whichI∈ J(α)and for each functiongwhich is continuous on the set

C:=

q

Y

i=1

Ai, whereAi:=

(W(αi), if i∈JI,

W(αi)∪ {0}, if i∈ {1, . . . , q} \JI. (I.53) Proof. The arguments are similar to those in the proof of [41, Corollary VI.2.8], but for the conve-nience of the reader we will present the proof below.

Let (αk)k∈N⊂D(Rq) be such thatαk J1(R

q)

−−−−−→α,I:=Qq

i=1Ii∈ J(α) and a functiong:Rq →R which is continuous on the set

C:=

q

Y

i=1

Ai, whereAi:=

(W(α∞,i), ifi∈JI,

W(α∞,i)∪ {0}, ifi∈ {1, . . . , q} \JI.

For notational convenience, denote sk,p :=spk, I), for k∈ Nand p∈N, and Rq 3x7−→gI g(x)1I(x).

Recall that for everyi∈JI holds∂Ii∩W(α∞,i) =∅, thereforegI remains continuous onC.

Step1: Let ˆ

p:=





0, if{p∈N, s∞,p<∞}=∅,

max{p∈N, s∞,p<∞}, if{p∈N, s∞,p<∞} is non–empty and finite,

∞, if{p∈N, s∞,p<∞} is non–empty and infinite,

• If ˆp= 0, then by convergenceαk −−−−→J1(R) α holds in particular αk0 −−−−→

k→∞ α0 . Since s0k, I) = s0, I) = 0 by definition, we can conclude.

• If ˆp <∞, using Corollary I.133 we get that for everyp∈Nwithp≤pˆit holds that gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞ gI(∆αs∞,p)1[s∞,p,∞)(·).

By Proposition I.132 we obtain that forp >pˆit holdssk,p−−−−→

k→∞ ∞. Therefore, by Lemma I.115.(i) we conclude that for everyp >pˆ

gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞ 0. (I.54)

I.6. THE SKOROKHOD SPACE 39

Using now the fact that s∞,p−1 < s∞,p, for every 1 ≤p≤p,ˆ in conjunction with Proposition I.120 we can prove by induction that, for every 1≤q≤p, the following holdsˆ

X

1≤p≤q

gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞

X

1≤p≤q

gI(∆αs∞,p)1[s∞,p,∞)(·).

Analogously, we can prove by induction that forq >pˆholds X

p<p≤qˆ

gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞ 0,

by the continuity of the limit in Convergence (I.54) for everyp >p. In view of Proposition I.120 we canˆ combine the two last convergences, to obtain the convergence of their sum. In particular, we can have for every q∈N

X

1≤p≤q

gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞

X

1≤p≤q

gI(∆αs∞,p)1[s∞,p,∞)(·). (I.55)

•If ˆp=∞,we can use the arguments of the first part of the previous case (i.e. whenp≤p) to proveˆ by induction that for everyq≥1 holds

X

1≤p≤q

gI(∆αksk,p)1[sk,p,∞)(·)−−−−→J1(R)

k→∞

X

1≤p≤q

gI(∆αs∞,p)1[s∞,p,∞)(·).

Step2: Let nowN >0 and definepN := min{p∈N, s∞,p> N}.By the definition of (s∞,p)p∈N and the fact that α ∈ D(Rq) we can easily conclude that s∞,p −−−→

p→∞ ∞, hence pN is well–defined.

Then, by Proposition I.132 the convergence sk,pN −−−−→

k→∞ s∞,pN holds. Observe that we do not need to assume s∞,pN < ∞ at this point. Using the last convergence, there exists k0 ∈ Nsuch that for every k≥k0 holdssk,pN > N.

Defineαk,g,I := (αk)g,I fork∈N,(see again (I.52)) and observe now that α∞,g,I· 1[0,s∞,pN)(·) = X

0<t≤·

gI(∆αt )1[0,s∞,pN)(·) = X

0<t<s∞,pN∧·

gI(∆αt )

= X

1≤p≤pN−1

gI(∆αs∞,p)1[s∞,p,∞)(·).

Moreover, we have fork≥k0

αk,g,I· 1[0,sk,pN)(·) = X

0<t≤·

gI(∆αkt)1[0,sk,pN)(·) = X

0≤t<sk,pN∧·

gI(∆αkt)

= X

1≤p≤pN−1

gI(∆αksk,p)1[sk,p,∞)(·).

By Convergence (I.55) and for the chosenpN there exists a sequence (λN,k)k∈N⊂Λ, for Λ as defined in Definition I.108.(ii), for which the sequence P

1≤p≤pN gI(∆αksk,p)1[sk,p,∞)(·)

k∈Nsatisfies Theorem I.109.

In view of the last equalities on [0, N] and fork≥k0 we have that sup

s∈[0,N]

k,g,IλN,k(s)−α∞,g,Is | ∨ sup

s∈[0,N]

N,k(s)−s|

= sup

s∈[0,N]

X

1≤p≤pN−1

gI(∆αksk,p)1[sk,p,∞)N,k(s))− X

1≤p≤pN−1

gI(∆αs∞,p)1[s∞,p,∞)(s)

∨ sup

s∈[0,N]

N,k(s)−s|−−−−−→n→∞

(I.55) 0,

Now that we have the family of sequences{(λN,k)k∈N, N ∈N}, we can follow the same arguments as in the proof of [41, Lemma VI.1.31] in order to construct a sequence (λk)k∈N⊂Λ, for which the sequence (αk,g,I)k∈Nsatisfies Theorem I.109. Therefore we can conclude that

αk,g,I −−−−−→J1(R)

k→∞ α∞,g,I.

Now we have only to observe that α∞,g,I may have a jump att only if t=sp, I), for somep∈N. Hence, by combining Proposition I.120 and Proposition I.132 we can conclude the joint convergence

k,1, . . . , αk,q, αk,g,I) J1(R

q+1)

−−−−−−−−→

k→∞∞,1, . . . , α∞,q, α∞,g,I). (I.56) I.6.2. Application to c`adl`ag processes. In this section we collect some results regarding con-vergence of random variables taking their values in the Polish space D(E).We will follow closely Jacod and Shiryaev [41, Section VI.3]. For this section, we additionally endow the arbitrary probability space (Ω,G,P) with an arbitrary sequence of filtrations (Gk)k∈

N. Definition I.135. Let (Mk)k∈

Nbe an arbitrary sequence such thatMk is anE−valued c`adl`ag process, for every k∈N.

(i) The sequence (Mk)k∈N convergesin probability under the J1(E)−topology toM if P

δJ1(E)(Mk, M)> ε

−−−−−−→

k→∞ 0, for everyε >0, and we denote it byMk −−−−−−−(J1(E),P) M.

(ii) Let ϑ∈ {1,2}. The sequence (Mk)k∈Nconvergesin Lϑ−mean under theJ1(E)−topology to M if

E h

δJ1(E)(Mk, M)ϑi

−−−−−−→

k→∞ 0,

and we denote it byMk (J1(E),L

ϑ)

−−−−−−−−→M.

(iii) Analogously, we denote byMk−−−−→(lu,P) M, resp. Mk (lu,L

ϑ)

−−−−−→M, the convergencein probability, resp. inLϑ−mean,under the locally uniform topology.

(iv) Moreover, let (Nk,1)k∈

N be a sequence of E1−valued and c`adl`ag processes and (Nk,2)k∈

N be a sequence ofE2−valued and c`adl`ag processes. Forϑ1, ϑ2∈ {1,2} we will write

(Nk,1, Nk,2) (J1(E1×E2),L

ϑ1×Lϑ2)

−−−−−−−−−−−−−−−−−→(N∞,1, N∞,1), if the following convergence hold

(Nk,1, Nk,2)−−−−−−−−−−−−→(J1(E1×E2),P)) (M, N), Nk,1 (J1(E1),L

ϑ1)

−−−−−−−−−→N∞,1andNk,2 (J1(E2),L

ϑ2)

−−−−−−−−−→N∞,2. Definition I.136. Let (Γ, δΓ) be a metric space.

(i) Theset of probability measures defined on Γ,B(Γ)

is denoted by P(Γ).

(ii) Let A ⊂P(Γ). The setA will be calledtight if for everyε >0 there exists a compact setK in Γ such thatQ(Γ\K)≤εfor everyQ∈A.

(iii) Thelaw of aΓ-valued random variableΞ, which will be denoted byL(Ξ), is the probability measure on Γ,B(Γ)

defined for everyA∈ B(Γ) byL(Ξ)(A) :=P {ω∈Ω,Ξ(ω)∈A}).

(iv) Let (Ξk)k∈

Nbe a sequence of Γ−valued random variables. We will say that Ξk converges weakly toΞ if for everyf : Γ, δΓ

→(R,| · |) continuous and bounded holds E

f(Ξk)

−−→E f(Ξ)

.

We will denote the above convergence by Ξk −−L→ΞorL(Ξk)−−w→ L(Ξ) interchangeably. The random variable Ξ will be called theweak limit (point) of the sequence(Ξk)k∈N.

(v) Let (Ξk)k∈

N be a sequence of Γ−valued random variables. The sequence (Ξk)k∈

N will be called tight if the sequence of the associated laws L(Xk)

k∈Nis tight.

Remark I.137. The reader may recall the Dunford–Pettis Compactness Criterion, see Theorem I.26, which deals with relatively compact subsets ofP(R).

Lemma I.138. LetX be a real-valued and c`adl`ag process. The set V(X) :=

u∈R\ {0},P [∆Xt=u, for somet >0]

>0 is at most countable.

Proof. It is an immediate consequence of [41, Lemma VI.3.12].

We state the well-known Prokhorov’s theorem in the case of Polish spaces.

I.6. THE SKOROKHOD SPACE 41

Theorem I.139 (Prokhorov). Let Γ be a separable and complete metric space. The set A ⊂P(Γ) is relatively compact if and only if A is tight.

Proof. See Prokhorov [57, Theorem 1.12].

Proposition I.140. Let (Xk)k∈N be a sequence of Rq−valued c`adl`ag processes such that Xk −−→L X in D(Rq). Then,(Xtk

1, . . . , Xtk

n)−−→L (Xt

1, . . . , Xt

n) inRqn, for everyti

t∈R+,P([∆Xt6= 0])>0 and for every n∈N.

Proof. See Jacod and Shiryaev [41, Proposition VI.3.14].

Theorem I.141. Let (Xk)k∈N be a sequence of E−valued c`adl`ag processes. Then, the following are equivalent:

(i) Xk −−−−−−−→(J1(E),P) X.

(ii) For every subsequence(Xkl)l∈N there exists a further subsequence(Xklm)m∈N such that Xklm −−−−−→J1(E) X P−a.s..

Proof. See Dudley [28, Theorem 9.2.1], which can be applied in this case because the Skorokhod

space is Polish under the J1−topology.

Definition I.142. A sequence (Xk)k∈Nof processes is called C−tight if it is tight and if all weak limit points of the sequence L(Xk)

k∈Nare laws of continuous processes.

Lemma I.143. Let (Xk)k∈N be an Rp−valued C−tight sequence and (Yk)k∈N be an Rq−valued tight, resp. C−tight, sequence. Then:

(i) If p=q, then(Xk+Yk)k∈N is tight, resp. C−tight.

(ii) (Xk, Yk)k∈N is anRp+q−valued tight, resp. C−tight, sequence.

Proof. See Jacod and Shiryaev [41, Corollary VI.3.33].

Definition I.144. LetA and B two increasing processes. We say that B strongly majorizes A if the processB−Ais itself increasing.

In the following proposition the probability space is endowed with a sequence of filtrations (Gk)k∈N. Proposition I.145. Let (Ak)k∈N, (Bk)k∈N be sequences of c`adl`ag processes. Assume, moreover, that Ak, Bk are increasing and such thatBk strongly majorizesAk for everyk∈N. If(Bk)k∈Nis tight, resp.

C−tight, thenAis also tight, resp. C−tight.

Proof. See Jacod and Shiryaev [41, Proposition VI.3.35].

The following theorem provides a sufficient condition for a sequence ofRq−valued square-integrable Gk−martingales to be tight.

Theorem I.146. Let(Xk)k∈Nbe a sequence such that Xk−X0k∈ H2(Gk;Rq) for everyk∈N. If (i) the sequence(X0k)k∈Nis tight in Rand

(ii) the sequence Tr hXki

k∈N isC−tight in D(R), then the sequence (Xk)k∈N is tight in D(Rq).

Proof. See Jacod and Shiryaev [41, Theorem VI.4.13].

The last mentioned theorem is proven in Rebolledo [59] and it is a consequence ofAldous’ Criterion for Tightness,; for more details for the aforementioned criterion the reader may consult Aldous [2] and [41, Section VI.4a]. The role of Theorem I.146 in Chapter III will not be as evident as its importance may deserve, since it will be applied in a single point of the proof of a lemma among many lemmata; see Lemma III.31. For this reason, we need to specifically comment at this point, that it is an extremely convenient result, which enabled us to obtain the tightness of a sequence ofjoint laws.

We proceed, now, to another useful result. The message of the next theorem can be loosely described as follows: the weak limit of a sequence of martingales will be a uniformly integrable martingale with respect to its natural filtration as soon as the family of random variables obtained by the convergent sequence of martingales is uniformly integrable. It is well-known that the martingale property can be weakened to the submartingale property.

Proposition I.147. Let(Hk)k∈

Nbe a sequence ofE1−valued c`adl`ag processes, whereHk isGk−adapted for every k∈N.23 Assume, moreover, that(Θk)k∈N is a sequence such that Θk is an E2−valued c`adl`ag Gk−martingale for k∈N.24 Furthermore, let Θ be a c`adl`ag adapted process defined on the canonical space D(Rq),D(Rq),D(Rq)

and letD⊂R+ be dense. Assume that:

(i) The family

ktk1, t∈R+ andk∈N is uniformly integrable.

(ii) Hk −−→L H.

(iii) For allt∈D,D(Rq)3α7−→Θt (α)isL(H)−a.s.continuous and (iv) Θkt −Θt ◦Hk −−−−−(|·|,P)→0 for allt∈D.

Then the process Θ◦H is a martingale with respect to the filtration generated byH.

Proof. See Jacod and Shiryaev [41, Proposition IX.1.12]. The uniform integrability of the limit martingale is a consequence of Dunford–Pettis Compactness Criterion, see Theorem I.26.

We will close the section with the introduction of another important notion for limit theorems and the presentation of some classical related results.

Notation I.148. For every k ∈ N, Hk will denote the set of Gk−predictable elementary processes bounded by 1. In other words,

Hk :=

H : (Ω×R+,PGk)−−→ R+,B(R+)

, Ht=h01{0}(t) +

p

X

i=1

hi1(si,si+1](t) with p∈N,0 =s0< s1< . . . , < sp+1 andhi isGsk

i−measurable with |hi| ≤1 Definition I.149. A sequence (Xk)k∈N of Rq−valued c`adl`ag processes, where Xk is Gk−adapted for each k ∈ N, is said to be predictably uniformly tight, in short P-UT, if for every t > 0 the family of random variables Pq

i=1(Hk,i·Xk,i)t, k∈NandHk,i∈Hk is tight inR,25that is

K↑∞lim sup

P

q

X

i=1

(Hk,i·Xk,i)t

> K

, Hk,i∈Hk andk∈N

= 0.

Remark I.150. It is immediate by the definition that, if the sequences (Xk)k∈N, (Yk)k∈N are P-UT then so is (Xk+Yk)k∈N.

Proposition I.151. Let(Vk)k∈N be such thatVk∈ V(Gk;Rp)for everyk∈N. (i) If Var(Vk)t

k∈N is tight in Rfor everyt∈R+, then(Vk)k∈Nis P-UT.

(ii) If, moreover, Vk∈ Vpred(Gk;Rp)for every k∈Nand the sequence Var(Vk)t

k∈N is P-UT, then Var(Vk)t

k∈N is tight in Rfor everyt∈R+.

Proof. (i) It is immediate by the definition of the variation process and the fact that the elements ofHk are bounded by 1, for everyk∈N.

(ii) This is Jacod and Shiryaev [41, Proposition VI.6.12]

Theorem I.152. Let the sequence (Sk)k∈N of Rq−valued c`adl`ag processes and assume it is P-UT.

If Sk −−→L S, then (Sk,[Sk]) −−→L (S,[S]) in D(Rq ×Rq×q). If the former convergence holds in probability, then the later holds in probability as well.

Proof. See Jacod and Shiryaev [41, Theorem VI.6.26].

Proposition I.153. Let the sequence(Xk)k∈

N ofRq−valued processes be such that (i) Xk isGk−martingale, for everyk∈N,

(ii) supk∈NE

sup0≤s≤tkXskk22

<∞, for everyt∈R+ and (iii) Xk −−→L X.

23We do not require the propertyk=∞.

24As in23, we do not require the property fork=∞.

25In the literature, it is also used the termbounded in probability, with the obvious interpretation.

I.6. THE SKOROKHOD SPACE 43

Then(Xk)k∈NisP-UTand thus(Xk,[Xk])−−→L (X,[X]).If the convergence in(iii)holds in probabil-ity, then the above convergence is also true in probabilprobabil-ity,i.e. (Xk,[Xk]) (J1(Rq×Rq×q),P)

−−−−−−−−−−−−→(X,[X]).

Proof. We will apply Jacod and Shiryaev [41, Corollary VI.6.30]. We need only to prove that supk∈NE

sups≤tk∆Xskk2

<∞, for every t∈R+. To this end let us fix at ∈R+. We observe that in view of the inequality

sup

k∈N

sup

s≤t

k∆Xskk2

L1(G;R)≤sup

k∈N

sup

s≤t

k∆Xskk2

L2(G;R)= sup

k∈NE h

sup

s≤t

k∆Xskk22i12

it is sufficient to prove that the right-hand side is finite. For the equality we have used that the function R+3x7→x2∈R+ is continuous. Now, we have

sup

k∈N

E

sup

s≤t

k∆Xskk22

= sup

k∈N

E

"

sup

0≤s≤t q

X

i=1

|∆Xsk,i|2

#

≤sup

k∈N

E

"

sup

0≤s≤t

2

q

X

i=1

|Xsk,i|2+ 2

q

X

i=1

|Xs−k,i|2

!#

≤sup

k∈N

( 2

q

X

i=1

E h

sup

0≤s≤t

|Xsk,i|2i + 2

q

X

i=1

E h

sup

0≤s≤t

|Xs−k,i|2i )

≤4 sup

k∈N q

X

i=1

E h

sup

0≤s≤t

|Xsk,i|2i

= 4 sup

k∈NE h

q

X

i=1

sup

0≤s≤t

|Xsk,i|2i

≤4qsup

k∈NE h sup

0≤s≤t

kXsk,ik22i(ii)

< ∞,

where in the third inequality we have used that the processes are c`adl`ag. therefore, (Xk)k∈N is P-UT.

For the convergence in probability, we apply [41, Theorem VI.6.22 (c)].

I.6.3. Weak convergence of filtrations. The purpose of this subsection is to introduce the notion for convergence of σ−algabrae and of filtrations we are going to make use of in the sequel. In the literature, such notions have been proposed by Aldous [3] and Hoover [38]. However, we are going to use that of Coquet et al. [23], which weakens the notion introduced byHoover. Let us, now, proceed to the introduction of these notions.

Definition I.154. (i) A sequence of σ−algebrae (Gk)k∈N convergesweakly to the σ−algebra G if, for every ξ∈L1(G;R), we have

E[ξ|Gk]−−→P E[ξ|G].

We denote the weak convergence ofσ−algebrae byGk −−→ Gw . (ii) A sequence of filtrations Gk := (Gtk)t∈R+

k∈Nconvergesweakly to G:= (Gt)t∈R+, if, for every ξ∈L1(G;R), we have

E[ξ|G·k]−−−−−−−→(J1(R),P) E[ξ|G· ].

We denote the weak convergence of the filtrations by Gk −−→w G. (iii) Consider the sequence (Mk,Gk)

k∈N, where Mk is an E−valued c`adl`ag process and Gk is a filtration, for any k∈N. The sequence (Mk,Gk)

k∈Nconvergesin the extended sense to (M,G) if for every ξ∈L1(G;R),

Mk,E[ξ|G·k] (J1(E×R),P)

−−−−−−−−−→ M,E[ξ|G· ]

. (I.57)

We denote the convergence in the extended sense by Mk,Gk ext

−−−→(M,G).

Remark I.155. For the definition of weak convergence of filtrations, we could have used only random variablesξof the form1A, forA∈ G. Indeed, the two definitions are equivalent; see Coquet et al. [23, Remark 1.1)].

The following result, which is Hoover [38, Theorem 7.4], provides a sufficient condition for weak convergence ofσ−algebrae which are generated by random variables.

Example I.156. Let (ξk)k∈

N be a sequence of random variables such thatξk −−→P ξ. Then the con-vergence σ(ξk)−−→w σ(ξ) holds, whereσ(ψ) denotes theσ−algebra generated by the random variable ψ.

In the next example, which is Coquet et al. [23, Proposition 2], a sufficient condition for the weak convergence of the natural filtrations of stochastic processes is provided.