Tsirelson's stochastic differential equation

From testwiki
Jump to navigation Jump to search

Tsirelson's stochastic differential equation (also Tsirelson's drift or Tsirelson's equation) is a stochastic differential equation which has a weak solution but no strong solution. It is therefore a counter-example and named after its discoverer Boris Tsirelson.[1] Tsirelson's equation is of the form

dXt=a[t,(Xs,st)]dt+dWt,X0=0,

where Wt is the one-dimensional Brownian motion. Tsirelson chose the drift a to be a bounded measurable function that depends on the past times of X but is independent of the natural filtration W of the Brownian motion. This gives a weak solution, but since the process X is not W-measurable, not a strong solution.

Tsirelson's Drift

Let

  • tW=σ(Ws:0st) and {tW}t+ be the natural Brownian filtration that satisfies the usual conditions,
  • t0=1 and (tn)n be a descending sequence t0>t1>t2>, such that limntn=0,
  • ΔXtn=XtnXtn1 and Δtn=tntn1,
  • {x}=xx be the decimal part.

Tsirelson now defined the following drift

a[t,(Xs,st)]=n{ΔXtnΔtn}1(tn,tn+1](t).

Let the expression

ηn=ξn+{ηn1}

be the abbreviation for

ΔXtn+1Δtn+1=ΔWtn+1Δtn+1+{ΔXtnΔtn}.

Theorem

According to a theorem by Tsirelson and Yor:

1) The natural filtration of X has the following decomposition

tX=tWσ({ηn1}),t0,tnt

2) For each n the {ηn} are uniformly distributed on [0,1) and independent of (Wt)t0 resp. W.

3) 0+X is the P-trivial σ-algebra, i.e. all events have probability 0 or 1.[2][3]

Literature

References