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Measure-valued Flows: Girsanov Transformations

Posted on:2010-09-22Degree:MasterType:Thesis
Country:ChinaCandidate:W M ZhangFull Text:PDF
GTID:2120360275468620Subject:Probability theory and mathematical statistics
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Fixρ∈(0,1), for any k≥1, define the following operators:For any k≥1, letbe the unique Ak (?) diffusion process, where denotes the position of Yk (?) at time t starting at (z1,…,zk). Notice {Yk}k≥1 (?) is a consistent exchangeable family. Write {Vtk}t≥0(? ) for the semigroup of Yk (? ) . Then there are two M1 (R1) valued diffusion processes X = (Xt)t≥0 and (?) whose semigroups {Tt}t≥0and (?) are determined uniquely by the following formulae respectively: X(?) is called a measure-valued flow given {Yk}k≥1 (?),briefly, measure-valued flow. For any k≥1, (z1,…, zk)∈Rk, there is a Girsanovtransformation between (Yt1(z1),…,Ytk(zk))t≥0 and (?). Let Pμ(?) be the law of X (?) with initial valueμ∈M1 (R1). Notice the expressions of {Tt}t≥0 and (?) . The following question is natural: For anyμ∈M1 (R1), is there a Girsanov transformation between Pμand (?)?Let (Ft)t≥0 be the natural filtration for the coordinate process X = (Xt)t≥0 on CM1(R1), and Q|Ft the restriction of Q∈M1 (CR1) to Ft.Theorem. If c(·) is a nonzero constant c (a.e. with respect to the Lebesgue measure), then for anyμ∈M1 (R1), there are a positive continuous Pμ-martingale (αt)t≥0 and a positive continuous (?)-martingale (βt)t≥0 on C M1 (R1) with respect to the filtration (Ft)t≥0 such that for any t∈[0,∞) and any r∈(0,∞),Further, if∫R1|x|μ(dx) <∞, then∫R1Xt (dx) is continuous in t∈[0,∞), Pμ(?) - a.s.; If c(·) does not satisfy the condition of the theorem, then we discuss why we conjecture there is no Girsanov theorem between (?) and Pμ, namely, for any t∈(0,∞), (?) is not equivalent to Pμ|Ft.
Keywords/Search Tags:Girsanov transformation, measured-valued flow, measure-valued process
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