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Theorem 3.1. Let \( p \) be a point process of the class (QL). Then for \( U \in {\Gamma }_{p},{\widetilde{N}}_{p}\left( {\cdot, U}\right) \in {\mathcal{M}}_{2} \) and we have\n\n(3.1)\n\n\[ \left\langle {{\widetilde{N}}_{p}\left( {\cdot ,{U}_{1}}\right) ,{\widetilde{N}}_{p}\left( {\cdot ,{U}_{2}}\right) }\right\rangle...
For the proof, we need the following lemma.\n\nLemma 3.1. If \( U \in
No
Lemma 3.1. If \( U \in {\Gamma }_{p} \) and \( f\left( s\right) = f\left( {s,\omega }\right) \) is a bounded \( \left( {\mathcal{F}}_{t}\right) \) -predictable process, then\n\n\[ \nX\left( t\right) = {\int }_{0}^{t}f\left( s\right) d{\widetilde{N}}_{p}{\left( s, U\right) }^{ * }\left( { = \mathop{\sum }\limits_{\subst...
Proof. By Proposition I-5.1, it is sufficient to assume that \( s \mapsto f\left( s\right) \) is a bounded, left continuous adapted process. Then, for every \( s \in \lbrack 0,\infty ) \) ,\n\n\[ \n{f}_{n}\left( s\right) = f\left( 0\right) {I}_{\lfloor s = 0)}\left( s\right) + \mathop{\sum }\limits_{{k = 0}}^{\infty }f...
Yes
Let \( X\left( t\right) \) be a \( d \) -dimensional time homogeneous Lévy process (i.e. a right continuous process with stationary independent increments) and \( {\left( {\mathcal{F}}_{t}\right) }_{t \geq 0} \) be generated by the sample paths \( X\left( t\right) \) . Let \( {\mathbf{D}}_{p} = \{ t > 0;X\left( t\right...
(4.3)\n\n\[ \n{X}^{t}\left( t\right) = {X}^{t}\left( 0\right) + \mathop{\sum }\limits_{{k = 1}}^{{d}^{\prime }}{a}_{k}^{t}{B}^{k}\left( t\right) + {b}^{t}t + {\int }_{0}^{t + }{\int }_{{\mathbb{R}}^{d}\smallsetminus \{ 0\} }{x}^{t}{I}_{\left( \left| x\right| \geq 1\right) }{N}_{p}\left( {dsdx}\right) \n\] \n\n\[ \n+ {\...
Yes
Lemma 5.1. Let \( C > 0 \) be a constant such that \( \left| {M\left( s\right) }\right| \leq C, s \in \) \( \left\lbrack {0, t}\right\rbrack \) . Set \( {V}_{l}^{A} = \mathop{\sum }\limits_{{k = 1}}^{l}{\left\{ M\left( {t}_{k}\right) - M\left( {t}_{k - 1}\right) \right\} }^{2}, l = 1,2,\ldots, n \) . Then \( E\left\lbr...
Proof. It is easy to see that \[ {\left( {V}_{n}^{\Delta }\right) }^{2} = \mathop{\sum }\limits_{{k = 1}}^{n}{\left\{ M\left( {t}_{k}\right) - M\left( {t}_{k - 1}\right) \right\} }^{4} \] \[ + 2\mathop{\sum }\limits_{{k = 1}}^{n}\left( {{V}_{n}^{4} - {V}_{k}^{4}}\right) {\left( M\left( {t}_{k}\right) - M\left( {t}_{k -...
Yes
Theorem 6.1. Let \( X\left( t\right) = \left( {{X}^{1}\left( t\right) ,{X}^{2}\left( t\right) ,\ldots ,{X}^{d}\left( t\right) }\right) \) be a \( d \) -dimensional \( \left( {\mathcal{F}}_{t}\right) \) -semi-martingale such that\n\n(6.1)\n\n\[ \n{M}^{i}\left( t\right) = {X}^{i}\left( t\right) - {X}^{i}\left( 0\right) \...
Proof. It is enough to prove that\n\n(6.3)\n\n\[ \nE\left\lbrack {{e}^{i\langle \xi, X\left( t\right) - X\left( s\right) \rangle } \mid {\mathcal{F}}_{s}}\right\rbrack = {e}^{-\frac{1}{2}{\left| \xi \right| }^{2}\left( {t - s}\right) } \]\n\nfor every \( \xi \in {\mathbf{R}}^{d} \) and \( t > s \geq 0 \) . Let \( F\lef...
Yes
Example 6.1. Let \( X\\left( t\\right) = \\left( {{X}^{1}\\left( t\\right) ,{X}^{2}\\left( t\\right) ,\\ldots ,{X}^{d}\\left( t\\right) }\\right) \) be a \( d \) -dimensional \( \\left( {\\mathcal{F}}_{t}\\right) \) -Brownian motion and \( p = \\left( {{p}_{i}^{k}\\left( {t,\\omega }\\right) }\\right) \) be a process w...
Indeed, setting \( {\\widetilde{M}}^{k}\\left( t\\right) = {\\widetilde{X}}^{k}\\left( t\\right) - {\\widetilde{X}}^{k}\\left( 0\\right) \) , \[ \\left\\langle {{\\widetilde{M}}^{k},{\\widetilde{M}}^{l}}\\right\\rangle \\left( t\\right) = {\\int }_{0}^{t}\\mathop{\\sum }\\limits_{{m, n = 1}}^{d}{p}_{m}^{k}\\left( {s,\\...
Yes
Theorem 6.3. Let \( X\left( t\right) = \left( {{X}^{1}\left( t\right) ,{X}^{2}\left( t\right) ,\ldots ,{X}^{d}\left( t\right) }\right) \) be a \( d \) -dimensional \( \left( {\mathcal{F}}_{t}\right) \) semi-martingale and \( {p}_{1},{p}_{2},\ldots ,{p}_{n} \) be point processes of class (QL) with respect to \( \left( {...
Proof. Let \( {D}_{p} = \mathop{\bigcup }\limits_{{i = 1}}^{n}{D}_{{p}_{i}} \) and set, \( p\left( t\right) = {p}_{t}\left( t\right) \) if \( t \in {D}_{{p}_{i}} \) . Then we have a point process \( p \) on the sum \( \mathop{\bigcup }\limits_{{i = 1}}^{n}{X}_{i} * \) which is clearly a point process of the class \( \l...
Yes
Theorem 6.4. Let \( X\\left( t\\right) = \\left( {{X}^{1}\\left( t\\right) ,{X}^{2}\\left( t\\right) ,\\ldots ,{X}^{d}\\left( t\\right) }\\right) \) be a \( d \) -dimensional \( \\left( {\\mathcal{F}}_{t}\\right) \) -Brownian motion and \( \\sigma \) be an \( \\left( {\\mathcal{F}}_{t}\\right) \) -stopping time such th...
Proof. By Doob’s optional sampling theorem, \( {M}^{*t}\\left( t\\right) = {X}^{t}\\left( {t + \\sigma }\\right) - \) \( {X}^{t}\\left( \\sigma \\right) \) is a local martingale with respect to \( \\left( {{\\mathcal{F}}_{t}^{ * }{}^{ * }}\\right) \) and also \( \\left\\langle {{M}^{*t},{M}^{*j}}\\right\\rangle \\left(...
Yes
Lemma 6.1. \( {\mathcal{F}}_{t + 0}^{X} = {\mathcal{F}}_{t}^{X} \) .
Proof. Let \( p\left( {t, x}\right) \) be given by (I-7.1) and set\n\n\[ \left( {{H}_{t}f}\right) \left( x\right) = {\int }_{{R}^{d}}p\left( {t, x - y}\right) f\left( y\right) {dy},\;f \in {C}_{0}\left( {R}^{d}\right) . * \]\n\n\( \left\{ {H}_{t}\right\} \) constitutes a strongly continuous semigroup of operators on \(...
Yes
Lemma 6.2. For any increasing sequence \( {\sigma }_{n} \) of \( \left( {{\mathcal{F}}_{t}x}\right) \) -stopping times,\n\n\[ \mathop{\bigvee }\limits_{n}{\mathcal{F}}_{{\sigma }_{n}}^{x} = {\mathcal{F}}_{\sigma }^{x} \]\n\nwhere \( \sigma = \mathop{\lim }\limits_{{n \rightarrow \infty }}{\sigma }_{n} \) .
Proof. By the strong Markov property,\n\n\[ E\left\lbrack {{f}_{1}\left( {X\left( {t}_{1}\right) }\right) {f}_{2}\left( {X\left( {t}_{2}\right) }\right) \cdots {f}_{n}\left( {X\left( {t}_{n}\right) }\right) \mid {\mathcal{F}}_{\tau }^{X}}\right\rbrack \]\n\n\[ = \mathop{\sum }\limits_{{k = 1}}^{n}{I}_{\left( {t}_{k - 1...
No
Lemma 6.3. Let \( M \in {\mathcal{M}}_{2} \) be bounded and suppose that \( \langle M, N\rangle = 0 \) for every \( N \in {\mathcal{M}}_{2}^{ * } \) . Then \( M = 0 \) .
Proof. Assume \( \left| {M\left( t\right) }\right| \leq \alpha \) where \( \alpha \) is a positive constant and set \( D\left( \omega \right) = 1 + M\left( {T,\omega }\right) /{2\alpha } \) . Then \( D\left( \omega \right) \geq 1/2 \) and \( E\left\lbrack {D\left( \omega \right) }\right\rbrack = 1 \) . Define a new pro...
Yes
Theorem 7.1. Let \( {M}^{i} \in {\mathcal{M}}_{2}^{c,{loc}}, i = 1,2,\ldots, d \) . Suppose that \( {\Phi }_{ij}\left( s\right) \in {\mathcal{L}}_{1}^{loc} * \) and \( {\Psi }_{ik}\left( s\right) \in {\mathcal{L}}_{2}^{loc}, i, j, k = 1,2,\ldots, d \), exist such that\n\n(7.1)\n\n\[ \left\langle {{M}^{l},{M}^{j}}\right...
Proof. We will consider the case where \( {M}^{t} \in {\mathcal{M}}_{2}^{c},{\Phi }_{ij} \in {\mathcal{L}}_{1} \) and \( {\Psi }_{ik} \in {\mathcal{L}}_{2} \) ; the general case is easily reduced to this case. For \( N > 0 \) we set\n\n(7.5)\n\n\[ {\theta }_{ik}^{\left( N\right) }\left( {s,\omega }\right) = \left\{ \be...
Yes
Theorem 7.2. Let \( M \in {\mathcal{M}}_{2}^{\text{coc }} \) such that \( \mathop{\lim }\limits_{{t \uparrow \infty }}\langle M\rangle \left( t\right) = \infty \) a.s. Then, if we set\n\n(7.8)\n\n\[ \n{\tau }_{t} = \inf \{ u;\langle M\rangle \left( u\right) > t\} \n\]\n\nand \( {\mathcal{T}}_{t} = {\mathcal{F}}_{{\tau ...
Proof. First, we remark that, with probability one, \( t \mapsto B\left( t\right) = \) \( M\left( {\tau }_{t}\right) \) is continuous. It is sufficient to show that, for any fixed \( r < {r}^{\prime } \), we have, except a set of probability zero,\n\n(7.10)\n\n\[ \n\left\{ {\langle M\rangle \left( {r}^{\prime }\right) ...
Yes
Theorem 7.4. \( {}^{*1} \) Let \( \left( {\Omega ,\mathcal{F}, P}\right) \) be a probability space with a reference family \( \left( {\mathcal{F}}_{t}\right) \) . Let \( \left( {X,{\mathcal{B}}_{X}}\right) \) be a measurable space and \( p \) be an \( \left( {\mathcal{F}}_{t}\right) \) -point process of class (QL) on \...
Proof. First we prove several lemmas.\n\nLemma 7.1. There exists
No
Lemma 7.1. There exists a predictable probability kernel \( Q\left( {t, x,{dz},\omega }\right) \) on \( \lbrack 0,\infty ) \times X \times {\mathcal{B}}_{Z} \times \Omega \) (i.e., for a fixed \( A \in {\mathcal{B}}_{Z},\left( {t, x,\omega }\right) \mapsto \) \( Q\left( {t, x, A,\omega }\right) \) is predictable and fo...
The proof of this lemma is standard and is left to the reader (cf. Chapter I, Section 3).
No
Lemma 7.2. On an extension \( \left( {\widetilde{\Omega },\mathcal{F},\widetilde{P}}\right) \) and \( \left( {\mathcal{F}}_{t}\right) \) of \( \left( {\Omega ,\mathcal{F}, P}\right) \) and \( \left( {\mathcal{F}}_{t}\right) \), there exists an \( \left( {\mathcal{F}}_{t}\right) \) -point process \( \widetilde{p} \) of ...
Proof. We prepare a sequence of independent identically distributed random variables \( {\xi }_{n, k}, n, k = 1,2,\ldots \) on a probability space \( \left( {{\Omega }^{\prime },{\mathcal{F}}^{\prime }}\right. \) , \( \left. {P}^{\prime }\right) \) such that \( 0 \leq {\xi }_{n, k} \leq 1 \) a.s. and are uniformly dist...
Yes
Theorem 1.1. The space \( d\mathcal{Q} \) with the operations \( \mathcal{A},\mathcal{M} \) and \( \mathcal{P} \) is a commutative algebra over \( \mathcal{B} \), i.e., a commutative ring with the operations \( \mathcal{A} \) and \( \mathcal{P} \) satisfying the relations\n\n\[ \Phi \cdot \left( {{dX} + {dY}}\right) = ...
Proof. It follows almost immediately from the property of stochastic integrals established in Chapter II that \( d\mathcal{Q} \) is a commutative algebra over \( \mathcal{B} \) . (1.8) follows at once because \( \left\langle {{M}_{X},{M}_{Y}}\right\rangle \in \mathcal{A} \) for \( X, Y \in \mathcal{Q} \) .
Yes
Theorem 1.2. The space \( d\mathcal{Q} \) with the operations \( \mathcal{A},\mathcal{S}.\mathcal{M} \) . and \( \mathcal{P} \) is a commutative algebra over \( \mathcal{Q} \) ; we have, for \( X, Y, Z \in \mathcal{Q} \) , \n\n\[ \nX \circ \left( {{dY} + {dZ}}\right) = X \circ {dY} + X \circ {dZ}, \n\] \n\n\[ \n\left( ...
Proof. We note that since \( d\mathcal{Q} \cdot d\mathcal{A} = 0 \) and \( d\mathcal{Q} \cdot d\mathcal{Q} \cdot d\mathcal{Q} = 0 \), we have that \n\n(1.12) \n\n\[ \nX \circ {dY} = X \cdot {dY}\;\text{ if }\;X\text{ or }\;Y \in \mathcal{A}, \n\] \n\nand \n\n(1.13) \n\n\[ \n\left( {Z \circ {dX}}\right) \cdot {dY} = Z \...
No
Theorem 1.3. If \( {X}^{1},{X}^{2},\ldots ,{X}^{d} \in \mathcal{Q} \) and \( f \in {C}^{3}\left( {{R}^{d} \rightarrow R}\right) \), then for \( Y = f\left( {{X}^{1},{X}^{2},\ldots ,{X}^{d}}\right) \in \mathcal{Q} \) we have\n\n(1.14)\n\n\[ \n{dY} = \mathop{\sum }\limits_{{i = 1}}^{d}{\partial }_{i}f \circ d{X}^{i} \n\]
Proof. By Theorem 1.2\n\n\[ \n\mathop{\sum }\limits_{{t = 1}}^{d}{\partial }_{t}f \circ d{X}^{t} \n\]\n\n\[ \n= \mathop{\sum }\limits_{{i = 1}}^{d}\left( {{\partial }_{t}f \cdot d{X}^{i} + \frac{1}{2}d\left( {{\partial }_{t}f}\right) \cdot d{X}^{i}}\right) \n\]\n\n\[ \n= \mathop{\sum }\limits_{{i = 1}}^{d}{\partial }_{...
Yes
Theorem 1.4. For every \( X \) and \( Y \) in \( \mathcal{Q} \) ,\n\n\[ {\int }_{0}^{t}Y \circ {dX} = 1\text{ i. }\mathrm{p}.\mathop{\sum }\limits_{{i = 1}}^{n}\frac{Y\left( {t}_{i}\right) + Y\left( {t}_{i - 1}\right) }{2}\left( {X\left( {t}_{i}\right) - X\left( {t}_{i - 1}\right) }\right) \]\n\nwhere \( \Delta \) deno...
Proof.\n\n\[ \mathop{\sum }\limits_{{i = 1}}^{n}\frac{Y\left( {t}_{i}\right) + Y\left( {t}_{i - 1}\right) }{2}\left( {X\left( {t}_{i}\right) - X\left( {t}_{i - 1}\right) }\right) \]\n\n\[ = \mathop{\sum }\limits_{{i = 1}}^{n}Y\left( {t}_{i - 1}\right) \left( {X\left( {t}_{i}\right) - X\left( {t}_{i - 1}\right) }\right)...
Yes
Example 2.2. Let \( {A}_{k} = \mathop{\sum }\limits_{{j = 1}}^{d}{A}_{k}^{j}\left( x\right) \frac{\partial }{\partial {x}^{j}} \) be a \( {C}^{\infty } \) -vector field*1 on \( {\mathbf{R}}^{d} \) , \( k = 1,2,\ldots, r \) . We assume that the first and second order derivatives of all coefficients are bounded. For give...
[I] *2 If the vector fields \( {A}_{1},{A}_{2},\ldots ,{A}_{r} \) are commutative, i.e., \( \left\lbrack {{A}_{p},{A}_{q}}\right\rbrack \) \( = 0, p, q = 1,2,\ldots, r \), then this implies the integrability of\n\n\[ \left\{ \begin{array}{l} \frac{\partial {u}^{i}}{\partial {z}^{j}}\left( {x, z}\right) = {A}_{j}^{i}\le...
Yes
Lemma 4.1. (A Fubini-type theorem for stochastic integrals). Let \( \left( {\Omega ,\mathcal{F}, P}\right) \) be a probability space and \( \left( {\mathcal{F}}_{t}\right) \) be a reference family. Let \( M \in \) \( {\mathcal{M}}_{2}^{c} \) ,(i.e., a continuous square-integrable martingale such that \( {M}_{0} = 0 \) ...
Proof. It is clear that \( {\int }_{{\mathbb{R}}^{1}}\Phi \left( {s, a,\omega }\right) \mu \left( {da}\right) \) is \( \left( {\mathcal{F}}_{t}\right) \) -predictable and bounded. Hence it is obvious that\n\n\[ E\left\lbrack {{\int }_{0}^{t}{\left\{ {\int }_{{\mathbf{R}}^{1}}\Phi \left( s, a,\omega \right) \mu \left( d...
Yes
Lemma 4.2. Given \( f \in {W}_{0}^{1} \) and \( x \in {\mathbf{R}}^{ + } \), there exist unique \( g \in {\mathbf{C}}^{ + } \) and \( h \in {\mathbf{C}}^{ + } \) such that\n\n(i) \( g\left( t\right) = x + f\left( t\right) + h\left( t\right) \), \n\n(ii) \( h\left( 0\right) = 0 \) and \( t \mapsto h\left( t\right) \) is...
Proof. Set\n\n(4.9)\n\n\[ g\left( t\right) = x + f\left( t\right) - \mathop{\min }\limits_{{0 \leq s \leq t}}\{ \left( {x + f\left( s\right) }\right) \land 0\} ,\]\n\n(4.10)\n\n\[ h\left( t\right) = - \mathop{\min }\limits_{{0 \leq s \leq t}}\{ \left( {x + f\left( s\right) }\right) \land 0\} . \]\n\nThen it is easy to ...
Yes
Lemma 4.3. \( n \) is invariant under the mapping: \( w \rightarrow \breve{w} \) .
Proof. \( {P}^{T} \) on \( {\mathcal{W}}^{ + } \cap \{ w;\sigma \left( w\right) = T\} \) is invariant under the mapping: \( w \rightarrow \breve{w} \) (cf. Example IV-8.4). Since\n\n\[ \n{n}^{ + }\left( B\right) = {\int }_{0}^{\infty }{P}^{T}\left( {B\cap \{ \sigma \left( w\right) = T\} }\right) {\left( 2\pi {T}^{3}\ri...
No
Lemma 4.5. Let \( a > 0 \) and set, for \( w \in C\left( {\lbrack 0,\infty }\right) \rightarrow R) \) , (4.33) \[ {l}_{a}^{0}\left( w\right) = \sup \left\{ {t;t \leq {\sigma }_{0}\left( w\right), w\left( t\right) = a}\right\} \] (4.34) \[ {l}_{a}\left( w\right) = \sup \{ t;w\left( t\right) = a\} . \] Then (4.35) \[ {P}...
Proof. It is sufficient to prove that for bounded Borel functions \( {f}_{1},{f}_{2},\ldots ,{f}_{n} \) on \( \left( {0,\infty }\right) \) and \( 0 < {t}_{1} < {t}_{2} < \ldots < {t}_{n} \) , (4.36) \[ {E}^{{P}_{a}}\left\lbrack {\mathop{\prod }\limits_{{j = 1}}^{n}{f}_{j}\left( {w\left( {t}_{j}\right) }\right) {I}_{{u}...
Yes
For given \( a > 0 \), let \( \{ X\left( t\right) \} \) be \( B{M}^{a} \) and \( \{ Y\left( t\right) \} \) be \( {BE}{S}^{0}\left( 3\right) \) . Then \( \left\{ {X\left( {{\sigma }_{0}^{X} - t}\right) ,0 \leq t \leq }\right. \) \( \left. {\sigma }_{0}^{X}\right\} \) is equivalent in law to \( \left\{ {Y\left( t\right) ...
Proof. From (4.30), we see that \( \{ w\left( t\right) ;0 \leq t \leq \sigma \left( w\right) \} \) is decomposed, under \( {n}^{ + }\left( {\cdot \mid {\sigma }_{a} < \infty }\right) \), into mutually independent parts \( \{ w\left( t\right) \) , \( \left. {0 \leq t \leq {\sigma }_{a}}\right\} \) and \( \left\{ {w\left...
Yes
Lemma 4.6. (i) The point process \( {p}^{ * } \) on \( \mathbf{X} \) defined by \( {\mathbf{D}}_{{p}^{ * }} = \{ t;t + \) \( \left. {\theta \in {\mathbf{D}}_{p}}\right\} \) and \( {p}^{ * }\left( t\right) = p\left( {t + \theta }\right), t \in {\mathbf{D}}_{p} * \), is independent of \( {\mathcal{F}}_{\theta } \) .
Proof. (i) This is essentially established in Theorem II-6.5, because \( \left( {\mathcal{F}}_{t}\right) \) -stationary Poisson point process \( p \) is always independent of \( {\mathcal{F}}_{0} \) .
No
If \( X \) is \( B{M}^{0} \) and \( Y \) is \( {BE}{S}^{0}\left( 3\right) \), then \( \left\{ {X\left( {{l}_{0}^{a, X} + t}\right) ,0 \leq t \leq {\sigma }_{a}^{X} - }\right. \) \( \left\{ {l}_{0}^{a,\mathrm{X}}\right\} \) is equivalent in law to \( \left\{ {Y\left( t\right) ,0 \leq t \leq {\sigma }_{a}^{\mathrm{Y}}}\r...
The second assertion follows from the fact that \( \{ X\left( t\right) ,0 \leq t \leq \) \( \left. {l}_{0}^{a, X}\right\} \) is \( {\mathcal{F}}_{{\theta }_{ - }} \) -measurable and \( E\left\lbrack {G\left\lbrack {p\left( \theta \right) }\right\rbrack \mid \theta = s}\right\rbrack \) is independent of \( s \) .
No
Theorem 5.2. If \( X \in \mathcal{M} \), then the exponential quasimartingale \( {M}_{t} \) is a continuous local \( \left( {\mathcal{F}}_{t}\right) \) -martingale. Furthermore, \( {M}_{t} \) is a supermartingale, and it is a martingale if and only if\n\n\[ E\left\lbrack {M}_{t}\right\rbrack = 1\;\text{ for every }t \g...
Proof. Since \( {M}_{t} \) is the unique solution of (5.2)\n\n\[ {M}_{t} - 1 = {\int }_{0}^{t}{M}_{s}{dX}\left( s\right) \in \mathcal{M}. \]\n\nThus, it is easy to see by Fatou’s lemma that \( {M}_{t} \) is a supermartingale.
No
Proposition 6.2. Let \( {Z}_{t} = \left( {{Z}_{t}^{1},{Z}_{t}^{2},\ldots ,{Z}_{t}^{n}}\right) \) be an \( n \) -dimensional local conformal martingale such that \( d{Z}_{t}^{\alpha } \cdot d{\bar{Z}}_{t}^{\beta } = 0,\alpha ,\beta = 1,2,\ldots \) , \( n,\alpha \neq \beta \) . Then there exists an \( n \) -dimensional c...
\[ {Z}_{t}^{\alpha } = {\zeta }^{\alpha }\left( {\left\langle {Z}^{\alpha }\right\rangle }_{t}\right) ,\;\alpha = 1,2,\ldots, n, \]\n\nwhere \( {\left\langle {Z}^{\alpha }\right\rangle }_{t} \) is defined to be the common processes \( {\left\langle {X}^{\alpha }\right\rangle }_{t} = {\left\langle {Y}^{\alpha }\right\ra...
No
Lemma 1.1. For \( A \in {\mathcal{B}}_{t}\left( {W}^{d}\right) ,\;w \in {W}_{0}^{r} \mapsto {Q}^{w}\left( A\right) \) or \( {Q}^{\prime w}\left( A\right) \) is \( {\mathcal{B}}_{t}{\left( {W}_{0}^{r}\right) }^{PW} \) -measurable.
Proof. For fixed \( t > 0 \) and \( A \in {\mathcal{B}}_{t}\left( {W}^{d}\right) \), there exists a conditional probability \( {Q}_{t}^{w}\left( A\right) \) such that \( w \in {W}_{0}^{r} \mapsto {Q}_{t}^{w}\left( A\right) \) is \( {\overline{{\mathcal{B}}_{t}{\left( {W}_{0}\right) }^{PW}}}^{w} \) -measurable and \( {P...
Yes
Lemma 1.2. \( {w}_{3} = \left( {{w}_{3}\left( t\right) }\right) \) is an \( r \) -dimensional \( \left( {\mathcal{F}}_{t}\right) \) -Brownian motion on \( \left( {\Omega ,\mathcal{F}, Q}\right) \) .
Proof. It is only necessary to prove the independence of \( {w}_{3}\left( t\right) - \) \( {w}_{3}\left( s\right) \) and \( {\mathcal{F}}_{s} \) for every \( t > s \) . For this, it is sufficient to prove that\n\n\[ \n{E}^{Q}\left\lbrack {{e}^{i\left\langle {\xi ,{w}_{3}\left( t\right) - {w}_{3}\left( s\right) }\right\...
Yes
Consider the following one-dimensional stochastic differential equation of the time-homogeneous Markovian type:\n\n(1.5)\n\[ \n{dX}\left( t\right) = \sigma \left( {X\left( t\right) }\right) {dB}\left( t\right) \]\n\nwhere \( \sigma \left( x\right) = 1 \) for \( x \geq 0 \) and \( \sigma \left( x\right) = - 1 \) for \( ...
Indeed, let \( B = \left( {B\left( t\right) }\right) \) be an \( \left( {\mathcal{F}}_{t}\right) \) - Brownian motion and let \( \xi \) be an \( {\mathcal{F}}_{0} \) -measurable random variable having the distribution \( \mu \) defined on some suitable probability space with a reference family \( \left( {\mathcal{F}}_{...
Yes
Theorem 2.4. If \( \sigma \left( x\right) = \left( {{\sigma }_{k}^{i}\left( x\right) }\right) \) and \( b\left( x\right) = \left( {{b}^{i}\left( x\right) }\right) \) are continuous and satisfy the condition\n\n(2.18)\n\n\[ \n\parallel \sigma \left( x\right) {\parallel }^{2} + \parallel b\left( x\right) {\parallel }^{2}...
Proof. Let \( {\sigma }_{n} = \inf \{ t;\left| {X\left( t\right) }\right| \geq n\} \) and \( f \in {C}_{b}^{2}\left( {R}^{d}\right) \) be chosen so that \( f\left( x\right) = {\left| x\right| }^{2} \) if \( \left| x\right| \leq n \) . Then since\n\n\[ \nf\left( {X\left( {t \land {\sigma }_{n}}\right) }\right) - f\left(...
Yes
Theorem 3.3. Consider the equation of the time homogeneous Markovian case (3.1). If \( a\left( x\right) = \sigma \left( x\right) \sigma {\left( x\right) }^{ * } \) is uniformly positive definite, bounded and continuous and \( b\left( x\right) \) is bounded and Borel measurable, then the uniqueness of solutions holds.
Proof. We assume \( b\left( x\right) \equiv 0 \) ; the general case is obtained by a transformation of drift which will be discussed in the next section. Set\n\n\[ \n{Af}\left( x\right) = \frac{1}{2}\mathop{\sum }\limits_{{i, j = 1}}^{d}{a}^{ij}\left( x\right) \frac{{\partial }^{2}f}{\partial {x}^{i}\partial {x}^{j}}\l...
Yes
Theorem 4.1. (i) Let \( Y \in {\mathcal{M}}_{2}^{c,{loc}} \) . If we define \( \widetilde{Y} \) by\n\n(4.4)\n\n\[ \n\widetilde{Y}\left( t\right) = Y\left( t\right) - \langle Y, X\rangle \left( t\right) \n\]\n\nthen \( \widetilde{Y} \in {\mathcal{M}}_{2}^{c,{loc}} \) .
Proof. Assume first that \( \widetilde{Y}\left( t\right) \) is bounded in the sense that, for each \( t \geq 0,\widetilde{Y}\left( t\right) \in {\mathcal{L}}^{\infty }\left( {\Omega ,\mathcal{F}}\right) \) . By Itô’s formula,\n\n\[ d\left( {M\left( t\right) \widetilde{Y}\left( t\right) }\right) \]\n\n\[ = d\{ M\left( t...
Yes
Let \( a\left( {t, x}\right) \) be a bounded Borel measurable function on \( \lbrack 0,\infty ) \times {R}^{1} \) such that \( a\left( {t, x}\right) \geq C \) for some positive constant \( C \) . Set \( \alpha \left( {t, w}\right) = a\left( {t, w\left( t\right) }\right) \) . In this case, equation (4.19) is given as\n\...
One simple sufficient condition that (4.21)' has the unique solution is that \( a\left( {t, x}\right) \) be Lipschitz continuous in \( t \) ; in this case the stochastic differential equation\n\n\[ \n{dX}\left( t\right) = a\left( {t, X\left( t\right) }\right) {dB}\left( t\right)\n\]\n\nis solved uniquely as \( X\left( ...
Yes
Example 4.4. (Nisio [130]). Let \( f\left( x\right) \) be a locally bounded Borel measurable function on \( {\mathbf{R}}^{1}, a\left( x\right) \) be a bounded Borel measurable function on \( {\mathbf{R}}^{1} \) such that \( a\left( x\right) \geq C \) for some positive constant \( C \), and \( y \in {\mathbf{R}}^{1} \) ...
and the equation (4.19) is given as\n\n(4.23)\n\n\[ \n{\phi }_{t} = {\int }_{0}^{t}a{\left( y + {\int }_{0}^{{\phi }_{s}}f\left\lbrack \left( {T}^{\phi }\xi \right) \left( u\right) \right\rbrack du\right) }^{-2}{ds}. \n\]\n\nNow\n\n\[ \n{\int }_{0}^{{\phi }_{s}}f\left\lbrack {\left( {{T}^{\phi }\xi }\right) \left( u\ri...
Yes
Theorem 5.1. Suppose that \( \left\{ {{P}_{x}, x \in {S}^{\prime }}\right\} \) is a system of probability measures on \( \left( {\bar{W}\left( S\right) ,\mathcal{B}\left( {\bar{W}\left( S\right) }\right) }\right) \) satisfying conditions (i) and (ii) of Definition 5.3. Suppose further that \( \left\{ {P}_{x}\right\} \)...
Proof. It is only necessary to show that \( \left\{ {P}_{x}\right\} \) is a strongly Markovian system, i.e., it satisfies (5.5). Since \[ {X}_{f}\left( t\right) = f\left( {w\left( t\right) }\right) - f\left( {w\left( 0\right) }\right) - {\int }_{0}^{t}\left( {Af}\right) \left( {w\left( s\right) }\right) {ds} \] is a \(...
Yes
Let \( S = {\mathbf{R}}^{d} \) and \( {S}^{\prime } = {\mathbf{R}}^{d} \cup \{ \Delta \} \), where \( \Delta \) is attached to \( {\mathbf{R}}^{d} \) as an isolated point. Let \( \mathcal{D}\left( A\right) = \left\{ {f \in \mathbf{C}\left( {S}^{\prime }\right) ;{\left. f\right| }_{{\mathbf{R}}^{d}} \in {C}_{b}^{2}\left...
To prove this, we first show that \( {P}_{x}, x \in {\mathbf{R}}^{d} \), is conservative. Indeed, \( {\left. f\left( x\right) \text{ defined by }f\left( x\right) \right| }_{{\mathbb{R}}^{d}} \equiv 0 \) and \( f\left( \Delta \right) = 1 \) belongs to \( \mathcal{D}\left( A\right) \) and \( {Af}\left( x\right) \equiv 0....
Yes
Let \( {S}^{\prime } \) and \( \mathcal{D}\left( A\right) \) be as in Example 5.1. Define \( A \) on \( \mathcal{D}\left( A\right) \) by\n\n(5.9)\n\n\[ \n{Af}\left( x\right) = \left\{ \begin{array}{ll} \frac{1}{2}{\Delta f}\left( x\right) + \mathop{\sum }\limits_{{i = 1}}^{d}{c}_{i}\frac{\partial f}{\partial {x}^{i}}\l...
This can be proved in the same way as in Example 5.1.
No
Let \( {S}^{\prime } = {\mathbf{R}}^{d} \cup \{ \Delta \} \) be as in the previous examples. Let \( \mathcal{D}\left( A\right) = \left\{ {f \in C\left( {S}^{\prime }\right) ;{\left. f\right| }_{{\mathbb{R}}^{d}} \in {C}_{b}^{2}\left( {\mathbb{R}}^{d}\right) \text{and}f\left( \Delta \right) = 0}\right\} \) and define \(...
To prove this assertion, we first note that the system \( \left\{ {P}_{x}\right\} \) clearly satisfies the conditions (i) and (ii) of Definition 5.3. Secondly the function \( {f}_{\xi }\left( x\right) ,\xi \in {\mathbf{R}}^{d} \), defined by\n\n\[ \n{f}_{\xi }\left( x\right) = \left\{ \begin{array}{ll} {e}^{i\langle \x...
Yes
Example 5.4. Let \( S = {R}_{ + }^{d} \mathrel{\text{:=}} \left\{ {x = \left( {{x}^{1},{x}^{2},\ldots ,{x}^{d}}\right) \in {R}^{d};{x}^{d} \geq 0}\right\} \) , \( {S}^{\prime } = {\mathbf{R}}_{ + }^{d} \cup \{ \Delta \} \) where \( \Delta \) is attached to \( {\mathbf{R}}_{ + }^{d} \) as an isolated point. Let \( \math...
To prove this, we first note that by Chapter III, Section \( {4.2}{X}_{x}^{k}\left( t\right) = {x}^{k} + \) \( {\widetilde{B}}^{k}\left( t\right) + {\delta }_{kd}\phi \left( t\right) \) for \( k = 1,2,\ldots, d \) where \( \widetilde{B}\left( t\right) \) is a \( d \) -dimensional\n\n--- \n\n* \( {E}_{x}^{\prime } \) st...
Yes
For simplicity, we consider the one-dimensional case only. Let \( S = \lbrack 0,\infty ) \) and \( {S}^{\prime } = \lbrack 0,\infty ) \cup \{ \Delta \} \), where \( \Delta \) is attached to \( S \) as an isolated point. For a given parameter \( \gamma \left( {0 \leq \gamma \leq 1}\right) \), let \( \mathcal{D}\left( A\...
The proof follows by a similar argument as in Examples 5.3 and 5.4: we take for \( \xi \in \mathbf{R} \) \[ {f}_{\xi }\left( x\right) = \left\{ \begin{array}{ll} {\gamma \xi }\cos {\xi x} + \left( {1 - \gamma }\right) \sin {\xi x}, & x \in \lbrack 0,\infty ), \\ 0, & x = \Delta . \end{array}\right. \]
Yes
Let \( S \) be a bounded smooth domain in \( {\mathbf{R}}^{d} \) and \( {S}^{\prime } = S \cup \{ \Delta \} \), where \( \Delta \) is attached to \( S \) as a point at infinity. Let \( \mathcal{D}\left( A\right) = {C}_{0}^{2}\left( S\right) ( \mathrel{\text{:=}} \{ f \) ; twice continuously differentiable in \( S \) an...
Suppose \( \left\{ {P}_{x}^{\prime }\right\} \) also satisfies these conditions. Let \( {G}_{\alpha }\left( {x, y}\right) ,\alpha > 0 \), be the Green function of \( S \) for the operator \( {L}_{\alpha } = \alpha - \Delta /2 \) with Dirichlet boundary conditions: i.e., if \( f \in {C}_{K}^{\infty }{\left( S\right) }^{...
Yes
Proposition 6.2. (i) Let \( {\mathfrak{S}}^{r} \) be the set of all \( r \times r \) symmetric, nonnegative definite matrices. If \( a\left( x\right) : {\mathbf{R}}^{d} \rightarrow {\mathbb{S}}^{r} \) is in the class \( {\mathbf{C}}_{b}^{2}\left( {\mathbf{R}}^{d}\right) ,{}^{*2} \) then the square root \( \sigma \left(...
Proof. Clearly it is only necessary to prove (i). We shall prove this in the case \( d = 1 \) ; the general case follows from the fact that a function is uniformly Lipschitz continuous on \( {\mathbf{R}}^{d} \) if it is uniformly Lipschitz continuous in each variable \( {x}^{i} \in {\mathbf{R}}^{1} \) for fixed \( \wid...
Yes
Theorem 7.2. We assume for the stochastic differential equation (7.8) that \( \sigma, b,\tau ,\beta ,\delta ,\rho \) satisfy the following: \( \sigma \) and \( b \) are bounded and Lipschitz continuous on \( D,\tau ,\beta \) and \( \delta \) are bounded and Lipschitz continuous on \( \partial D \) and \( \rho \) is bou...
Proof of Theorem 7.2. Let \( c\left( x\right) \) be a continuous function on \( \partial D \) such that \( {c}_{1} \leqq c\left( x\right) \leqq {c}_{2}, x \in \partial D \), for some positive constants \( {c}_{1} \) and \( {c}_{2} \) . Then it is easy to see that \( \mathfrak{X} = \left\lbrack {X\left( t\right), B\left...
Yes
Consider the following stochastic differential equation\n\n(8.1)\n\n\[ d{X}_{t}^{i} = \mathop{\sum }\limits_{{k = 1}}^{r}{\sigma }_{k}^{i}d{B}_{t}^{k} + {b}^{i}\left( {X}_{t}\right) {dt},\;i = 1,2,\ldots, d, \]
Then the solution \( X\left( t\right) \) of (8.1) is given as\n\n(8.2)\n\n\[ X\left( t\right) = {e}^{\beta t}\left( {X\left( 0\right) + {\int }_{0}^{t}{e}^{-{\beta s}}{\sigma dB}\left( s\right) }\right) ,\] \n\nThe proof is easily seen from the relation\n\n\[ d\left( {{e}^{-{\beta t}}X\left( t\right) }\right) = {e}^{-{...
Yes
Let \( a, c, d \) be real constants such that \( a > 0 \) . Consider the following one-dimensional stochastic differential equation:\n\n\[ \n{dX}\left( t\right) = {\left( 2aX\left( t\right) \vee 0\right) }^{1/2}{dB}\left( t\right) + \left( {{cX}\left( t\right) + d}\right) {dt}.\n\]
Since the coefficients \( \sigma \left( x\right) = {\left( 2ax \vee 0\right) }^{1/2} \) and \( b\left( x\right) = {cx} + d \) satisfy the condition of Theorem 3.2 and also the growth condition (2.18), a global strong solution \( X\left( t\right) \) exists uniquely for every given initial value \( X\left( 0\right) \) . ...
Yes
For \( \alpha > 0 \), let \( {L}_{\alpha } \) be the differential operator on \( \lbrack 0,\infty ) \) defined by (8.14) \[ {L}_{\alpha }f\left( x\right) = \frac{1}{2}\left\lbrack {\frac{{d}^{2}}{d{x}^{2}}f\left( x\right) + \frac{\alpha - 1}{x}\frac{d}{dx}f\left( x\right) }\right\rbrack \] with the domain \( \mathcal{D...
Let \[ {\widetilde{L}}_{\alpha }f\left( x\right) = {2x}\frac{{d}^{2}}{d{x}^{2}}f\left( x\right) + \alpha \frac{d}{dx}f\left( x\right) \text{ and }c \] \[ \mathcal{D}\left( {\widetilde{L}}_{\alpha }\right) = \left\{ {\widetilde{f}\left( x\right) = f\left( \sqrt{x}\right) ;f \in \mathcal{D}\left( {L\alpha }\right) }\righ...
Yes
Example 8.4. (Brownian excursions). \( {}^{*1} \) Let \( T > 0 \) be fixed. Consider the following stochastic differential equation\n\n(8.21)\n\n\[ \left\{ \begin{array}{l} {dX}\left( t\right) = 2{\left( X\left( t\right) \vee 0\right) }^{1/2}{dB}\left( t\right) + \left( {3 - \frac{{2X}\left( t\right) }{T - t}}\right) {...
This is an equation similar to (8.18). Hence it can be shown that there exists a unique solution \( X\left( t\right) \) for \( t \in \lbrack 0, T) \) and that\n\n(8.22)\n\n\[ P\left( {X\left( t\right) > 0\text{ for all }t \in \left( {0, T}\right) }\right) = 1{.}^{*2} \]
Yes
Let \( X\left( t\right) \) be a one-dimensional Brownian motion such that \( X\left( 0\right) = 0 \) . For fixed \( {t}_{0} > 0 \) and \( x, y \in {\mathbf{R}}^{1} \), define the process \( {X}_{x}^{{t}_{0}, y} = {\left( {X}_{x}^{{t}_{0}, y}\left( t\right) \right) }_{0 \leq t \leq {t}_{0}} \) by\n\n\[ \n{X}_{x}^{{t}_{0...
Clearly the solution \( X\left( t\right) \) exists uniquely for \( t \in \left\lbrack {0,{t}_{0}}\right) \) . By (8.35) we have\n\n\[ \n\left( {t - {t}_{0}}\right) d\left( \frac{X\left( t\right) - y}{t - {t}_{0}}\right) = {dB}\left( t\right) \n\] \n\nand hence \( X\left( t\right) \) is solved as\n\n\[ \nX\left( t\right...
Yes
Theorem 9.1. If \( \sigma \left( x\right), b\left( x\right) \) and \( f\left( {x, u}\right) \) satisfy in addition to (9.1) the Lipschitz condition\n\n(9.3)\n\n\[ \parallel \sigma \left( x\right) - \sigma \left( y\right) {\parallel }^{2} + \parallel b\left( x\right) - b\left( y\right) {\parallel }^{2} + {\int }_{{U}_{0...
Proof. Suppose \( B = \left( {{B}^{k}\left( t\right) }\right), p \) and \( \xi \) are given as above. Let \( D = \{ s \in \) \( \left. {{D}_{p};p\left( s\right) \in U \smallsetminus {U}_{0}}\right\} \) . Since \( n\left( {U \smallsetminus {U}_{0}}\right) < \infty, D \) is a discrete set in \( \left( {0,\infty }\right) ...
Yes
Theorem 1.1. There exists a function \( F : M \times {W}_{o}^{r} \rightarrow \widehat{W}\left( M\right) \) which is \( \cap \widehat{\mathcal{B}\left( M\right) } \times {\mathcal{B}}_{t}{\left( \widehat{{W}_{o}^{\prime }}\right) }^{\mu \times P{W}^{\prime }}/{\mathcal{B}}_{t}\left( {\widehat{W}\left( M\right) }\right) ...
Proof. Take a coordinate neighborhood \( {}^{*2}U \) and express \( {A}_{\alpha } = \) \( {\sigma }_{\alpha }^{i}\left( x\right) \frac{\partial }{\partial {x}^{i}},\alpha = 0,1,\ldots, r \), under the local coordinates \( \left( {{x}^{1},{x}^{2},\ldots ,{x}^{d}}\right) \) in \( U \) . Extend the functions \( {\sigma }_...
Yes
Theorem 1.2. Let \( {P}_{x} \) be the probability law on \( \widehat{W}\left( M\right) \) of the solution \( X = \left( {X\left( t\right) }\right) \) of (1.1) with the initial value \( X\left( 0\right) = x \) . Then \( {\left\{ {P}_{x}\right\} }_{x \in M} \) is a diffusion generated by the second order differential ope...
Proof. Using the uniqueness of solutions we can show that \( \left\{ {P}_{x}\right\} \) has the strong Markov property. Actually, we can prove the following stronger result: for any \( \left( {\mathcal{F}}_{t}\right) \) -stopping time \( \sigma \left( w\right) \), we have \( X\left( {t + \sigma \left( w\right), x, w}\r...
Yes
Lemma 2.1. Let \( A\left( x\right) = \left( {{A}_{\alpha }^{t}\left( x\right) }\right) \in {\mathbf{R}}^{m} \otimes {\mathbf{R}}^{r} \) and \( \beta \left( x\right) = \left( {{\beta }^{t}\left( x\right) }\right) \in {\mathbf{R}}^{m} \) be given and satisfy the following conditions;\n\n(i) there exists a positive consta...
Proof. Let \( T > 0 \) be arbitrary but fixed. First we remark that (2.3) implies\n\n(2.6)\n\n\[ E\left\{ {\mathop{\sup }\limits_{{0 \leq t \leq T}}{\left| \alpha \left( t\right) \right| }^{p + 1}}\right\} < \infty \]\n\nand\n\n(2.7)\n\n\[ E\left\{ {\mathop{\sup }\limits_{{0 \leq t \leq T}}{\left| {\alpha }_{n}\left( t...
Yes
For each \( x \in {R}^{d},1 \leq i \leq d \), and each \( \alpha \), there exists a unique process \( {Y}_{\alpha }^{t}\left( t\right) = \left( {{Y}_{\alpha }^{t}\left( {t, x, w}\right) }\right) \) such that\n\n\[ E\left\{ {\mathop{\sup }\limits_{{0 \leq t \leq T}}{\left| {Y}_{\alpha ,\left( n\right) }^{t}\left( t\righ...
First consider the case of \( \left| \alpha \right| = 1 \) . If we set \( {Y}_{j,\left( n\right) }^{i}\left( {t, x, w}\right) = \) \( \frac{\partial }{\partial {x}^{j}}{X}_{n}^{t}\left( {t, x, w}\right) ,{Y}_{\left( n\right) }\left( t\right) = \left( {{Y}_{j,\left( n\right) }^{t}\left( {t, x, w}\right) }\right) \) is d...
Yes
Theorem 2.3. \( {}^{*1} \) Let \( X\left( {t, x, w}\right) \) be the solution of (2.24) (or (2.1)) on the Wiener space \( \left( {{W}_{0}^{r},{P}^{W}}\right) \) . Then a modification of \( X\left( {t, x, w}\right) \) can be chosen so that the mapping \( x \mapsto X\left( {t, x, w}\right) \) is a diffeomorphism of \( {\...
Thus we have a one-parameter family of diffeomorphisms \( {X}_{t}\left( w\right) \) : \( x \mapsto X\left( {t, x, w}\right) \) for \( t \in \lbrack 0,\infty ) \) . Clearly \( {X}_{0}\left( w\right) = \) the identity and \( {X}_{s}\left( {{\theta }_{t}w}\right) \) 。 \( {X}_{t}\left( w\right) = {X}_{t + s}\left( w}\right...
Yes
Theorem 2.4. Assume that \( M \) is a compact manifold. \( X\left( {t, x, w}\right) \) has a modification, \( {}^{*2} \) which is denoted by \( X\left( {t, x, w}\right) \) again, such that the mapping \( {X}_{t}\left( w\right) : x \mapsto X\left( {t, x, w}\right) \) is \( {C}^{\infty } \) in the sense that \( x \mapsto...
Proof. Let \( {x}_{0} \in M \) and \( t \in \lbrack 0,\infty ) \) be fixed. Then for almost all \( w \) such that \( X\left( {t,{x}_{0}, w}\right) \in M \), there exist an integer \( n > 0 \) and a sequence of coordinate neighborhoods \( {U}_{1},{U}_{2},\cdots ,{U}_{n} \) such that\n\n\[ \left\{ {X\left( {s,{x}_{0}, w}...
Yes
The function \( u\left( {t, x}\right) \) defined by\n\n\[ u\left( {t, x}\right) = E\left\lbrack {\exp \left\{ {{\int }_{0}^{t}c\left( {X\left( {s, x, w}\right) }\right) {ds}}\right\} f\left( {X\left( {t, x, w}\right) }\right) }\right\rbrack ,\;f \in {F}_{0}\left( M\right) \]\nis a solution in \( {C}^{\infty }\left( {\l...
The proof is given in the same way as in Theorem 3.1. This time, however, we use Itô's formula as follows:\n\n\[ d\left\lbrack {\exp \left\{ {{\int }_{0}^{t}c\left( {X}_{s}\right) {ds}}\right\} f\left( {X}_{t}\right) }\right\rbrack = \exp \left\{ {{\int }_{0}^{t}c\left( {X}_{s}\right) {ds}}\right\} \left( {{A}_{\alpha ...
No
\[ {\widetilde{L}}_{m}\left( {F}_{u{j}_{1}{j}_{2}\ldots {j}_{q}}^{{i}_{1}{i}_{2}\ldots {i}_{p}}\right) \left( r\right) = {\left( {F}_{\bar{u}u}\right) }_{{j}_{1}{j}_{2}\ldots {j}_{q};m}^{{i}_{1}{i}_{2}\ldots {i}_{p}}\left( r\right) \] for every \( {i}_{l},{i}_{2},\ldots ,{i}_{p},{j}_{1},{j}_{2},\ldots ,{j}_{q} \) and \...
The proof is left to the reader.
No
Proposition 4.3. (i) For every vector field \( b = {b}^{t}\left( x\right) \frac{\partial }{\partial {x}^{t}} \) on a Riemannian manifold \( M \), there exists an affine connection \( \bar{V} = \left\{ {\Gamma }_{ij}^{k}\right\} \) on \( M \) compatible with the Riemannian metric \( g \) such that (4.33) holds.
Proof. (i) Define\n\n\[ {\Gamma }_{jk}^{i} = \left\{ {}_{j}^{i}\right\} + \frac{2}{d - 1}\left( {{\delta }_{j}^{i}{b}_{k} - {g}_{jk}{b}^{i}}\right) \]\n\nwhere \( {b}_{t} = {g}_{tj}{b}^{j} \). Then, since \( {\delta }_{j}^{t}{b}_{k} - {g}_{jk}{b}^{t} \) are the components of a \( \left( {1,2}\right) \) - tensor, \( \ba...
Yes
\[ {\left( Af, h\right) }_{0} = {\left( f,{A}^{ * }h\right) }_{0},{}^{*1}\;f, h \in F\left( M\right) \], where \[ {A}^{ * }h = - \frac{1}{2}{\delta dh} + \delta \left( {h{\omega }_{b}}\right) = \frac{1}{2}{\Delta }_{M}h - \operatorname{div}\left( {hb}\right) {.}^{*2} \]
The proof is immediate from the definition.
No
An invariant measure \( \mu \left( {dx}\right) \) of the \( A \) -diffusion exists and is unique up to a multiplicative constant; moreover, \( \mu \left( {dx}\right) \) is given as \( v\left( x\right) {dx} \) where \( v \in F\left( M\right) \) is a solution of \[ {A}^{ * }v = 0\text{. } \]
Proof. The equation (4.58) is equivalent to \( {A}^{ * }\mu = 0 \) in the sense of Schwartz distributions on \( M \) . Since \( {A}^{ * } \) is elliptic, any solution must be of the form \( \mu = {vdx}, v \in F\left( M\right) \), by Weyl’s lemma ([1]). Furthermore, \( \lambda = 0 \) is the largest eigenvalue of the eig...
Yes
The \( A \) -diffusion is symmetrizable if and only if\n\n(4.62)\n\n\[ \n{\delta \beta } = \alpha = 0\;\text{ in }\;\left( {4.51}\right) ; * \n\]\n\nand this is equivalent to\n\n(4.63)\n\n\[ \n\delta {\beta }_{1} = {\alpha }_{1} = 0\;\text{ in }\;\left( {4.61}\right) . \n\]
Proof. Let \( {U}_{0}\left( x\right) \in F\left( M\right) \) be determined by\n\n\[ \n{\int }_{M}{e}^{-{U}_{0}\left( x\right) }{dx} = 1\;\text{ and }\;{A}^{ * }\left( {e}^{-{U}_{0}}\right) = 0. \n\]\n\nThen the measure \( {e}^{-{U}_{0}\left( x\right) }{dx} \) is the unique invariant probability measure of the \( A \) -...
Yes
Theorem 6.1. Let \( r\left( t\right) = \left( {X\left( t\right), e\left( t\right) = \left( {{e}_{m}^{t}\left( t\right) }\right) }\right) \) be the horizontal Brownian motion with reflecting boundary constructed above from the solution of (6.12).\n\n(i) For any smooth function \( F\left( {t, r}\right) \) on \( \lbrack 0...
Proof. (i) is immediately obtained from Itô's formula. (ii) is easily proved once we notice\n\n\[ \n\mathop{\sum }\limits_{\alpha }{e}_{\alpha }^{i}\left( t\right) {e}_{\alpha }^{j}\left( t\right) = {g}^{ij}\left( {X\left( t\right) }\right) \n\]
Yes
Lemma 6.1. \( \\left\\{ {P}_{r}\\right\\} \) is invariant under the action \( {T}_{a} \) of \( a, a \\in O\\left( d\\right) \) , from the right; that is, if \( w \\cdot a \\in W\\left( {O\\left( M\\right) }\\right) \) is defined for \( w \\in \) \( W\\left( {O\\left( M\\right) }\\right) \) by \( \\left( {w \\cdot a}\\r...
Proof. Let \( r\\left( t\\right) \) be a solution of (6.12) with \( B\\left( t\\right) \) and \( \\phi \\left( t\\right) \) such that \( r\\left( 0\\right) = r \) . Then for \( a \\in O\\left( d\\right) ,\\widetilde{r}\\left( t\\right) = r\\left( t\\right) \\cdot a \) is a solution of (6.12) with \( \\widetilde{B}\\lef...
Yes
An \( {R}^{d} \otimes {R}^{d} \) -valued process \( K\left( t\right) \) adapted to \( \left( {\mathcal{F}}_{t}\right) \) is a solution of the above stochastic differential equation (6.20) with the initial condition (6.21) if and only if\n\n(6.22)\n\n\[ \begin{cases} {K}^{1}\left( t\right) \mathrel{\text{:=}} & K\left( ...
The proof is easy and omitted.
No
Theorem 6.2. The stochastic differential equation (6.20) with the initial condition (6.21) has one and only one solution \( K\left( t\right) \in \Xi \) .
Proof. Let \( {\xi }_{n} \in \Xi, n = 0,1,\ldots \) be defined by \( {\xi }_{0} \equiv 0 \) and \( {\xi }_{n} = \) \( \Phi \left( {\xi }_{n - 1}\right), n = 1,2,\ldots \) . Using (6.30) we can show that there exists \( \xi \in \Xi \) such that\n\n\[ \n{E}_{\mu }\left\lbrack {\mathop{\sup }\limits_{{0 \leq t \leq T}}{\b...
No
Theorem 6.3. \( M = \{ M\left( {t, w}\right) \} \) is an \( {\mathbf{R}}^{d} \otimes {\mathbf{R}}^{d} \) -valued \( {MOF} \) of the horizontal Brownian motion on \( O\left( M\right) \) with reflecting boundary;* i.e., (i) \( M\left( {t, w}\right) \) is \( \left( {\mathcal{F}}_{t}\right) \) -adapted, (ii) for every \( t...
Proof. (i) is obvious. To prove (ii), we fix \( s \) and set \( \widetilde{K}\left( t\right) = K\left( {t + s, w}\right) \) , \( \widetilde{X}\left( t\right) = X\left( {t + s, w}\right) \) and \( \bar{e}\left( t\right) = e\left( {t + s, w}\right) \) . Then it is clear that \( \widetilde{K}\left( t\right) \) satisfies t...
Yes
Lemma 6.3. If \( X\left( 0\right) \in \partial M \), then\n\n\[ \operatorname{Pe}{\left( 0\right) }^{-1}M\left( t\right) = 0\;\text{ for all }t \geq 0. \]
Proof. It is enough to prove that \( {Pe}{\left( 0\right) }^{-1}K\left( t\right) = 0 \) for all \( t \geq 0 \) . If \( X\left( 0\right) \in \partial M \), then\n\n\[ {Pe}{\left( 0\right) }^{-1}K\left( 0\right) = {Pe}{\left( 0\right) }^{-1}\left( {{I}_{\dot{M}}\left( {X\left( 0\right) }\right) e\left( 0\right) P + e\lef...
Yes
Theorem 6.4. (i) \( \left\{ {H}_{t}\right\} \) defines a one-parameter semigroup of operators on \( {C}_{0}\left( {O\left( M\right) \rightarrow {R}^{d}}\right) \) . (ii) If \( F \) is \( O\left( d\right) \) -equivariant, then so is \( {H}_{t}F \) for all \( t \geq 0 \) .
Proof. If \( r \in \partial O\left( M\right) \), then by Lemma 6.3 \( P{e}^{-1}\left( {{H}_{t}F}\right) \left( r\right) = 0 \) . The continuity in \( r \) of the functions \( {H}_{t}F\left( r\right), t \geq 0 \) follows from the continuity of \( r \mapsto {P}_{r} \in \mathcal{P}\left( {W\left( {O\left( M\right) }\right...
Yes
Theorem 6.5. Let \( F\\left( {t, r}\\right) = \\left( {{F}_{t}\\left( {t, r}\\right) }\\right) \) be a smooth function on \( \\lbrack 0,\\infty ) \\times \) \( O\\left( M\\right) \) taking values in \( {\\mathbf{R}}^{d} \) such that for each \( t \\geq 0, r \\mapsto F\\left( {t, r}\\right) \) is a function in \( {C}_{0...
Proof. As we remarked above, the diffusion \( \\left( {r\\left( t\\right) }\\right) \) is a normally reflecting diffusion on \( O\\left( M\\right) \) in the sense of Definition 6.2 given below. As we shall see, a characteristic feature of such a diffusion is that if \( f\\left( {t, r}\\right) \) is a smooth function on...
Yes
Lemma 6.5. For any \( t \) such that \( {X}_{t} \in \dot{M} \) , (6.38) \[ {dM}\left( t\right) = \frac{1}{2}M\left( t\right) J\left( {r\left( t\right) }\right) {dt} \] i.e., if \( u \in D \), then for every \( s \leq t \) such that \( \left\lbrack {s, t}\right\rbrack \subset \left( {A\left( {u - }\right), A\left( u\rig...
Proof. First we note that \( J = {eR}{e}^{-1} \) by the convention (6.19). Then by (6.20) and Itô’s formula, if \( X\left( t\right) \in \mathring{M} \) , \[ {dM}\left( t\right) = K\left( t\right) e{\left( t\right) }^{-1}\left\{ {{de}\left( t\right) e{\left( t\right) }^{-1} + e\left( t\right) d\left( {e{\left( t\right) ...
Yes
Theorem 6.6. (i).\n\n(6.48)\n\n\[ E\left( {\mathop{\sum }\limits_{{u \in D}}{\left\lbrack {\int }_{A\left( {u - }\right) \land t}^{A\left( u\right) \land t}g\left( s\right) d{B}^{k}\left( s\right) \right\rbrack }^{2}}\right) = E\left\lbrack {{\int }_{0}^{t}g{\left( s\right) }^{2}{ds}}\right\rbrack \]\n\n\[ k = 1,2,\ldo...
Proof. We shall first prove the special case of the reflecting Brownian motion and reduce the general case to this special case.\n\n(a) The case of the reflecting Brownian motion: i.e., the case \( {\sigma }_{k}^{f}\left( x\right) = \) \( {\delta }_{k}^{i} \) with \( r = d, b\left( x\right) \equiv 0,\tau \left( x\right...
No
Lemma 6.6. Let \( g\left( s\right) \) be a step process. Then (6.65) holds.
Proof. If, for example, \( g\left( s\right) \equiv 1 \), then (6.65) is trivially true: we have\n\n\[ \n{\int }_{A\left( {s - }\right) \land t}^{A\left( s\right) \land t}d{B}^{d}\left( u\right) = {\int }_{A\left( {s - }\right) \land t}^{A\left( s\right) \land t}d{X}^{d}\left( t\right) = {X}^{d}\left( {A\left( s\right) ...
Yes
Lemma 6.7. Let \( g\left( s\right) \) be a \( {\mathcal{B}}_{t}\left( {W\left( D\right) }\right) \) -adapted process such that \( s \rightarrow \) \( g\left( s\right) \) is right-continuous with left-hand limits. Then for every \( \varepsilon > 0 \), there exists a step process \( {g}_{\varepsilon }\left( s\right) \) s...
Proof. Let \( \left\{ {\sigma }_{n}\right\} \) be defined by \( {\sigma }_{0} = 0 \) and\n\n\[ {\sigma }_{n} = \inf \left\{ {t > {\sigma }_{n - 1};\left| {g\left( t\right) - g\left( {\sigma }_{n - 1}\right) }\right| \geq \varepsilon }\right\} \land n. \]\n\nThen \( {\sigma }_{n} \uparrow \infty \), and \( {g}_{\varepsi...
Yes
For \( \xi \in \partial D \) and \( t > 0 \), let\n\n\[ \n{\mu }^{\xi, t}\left( B\right) = {n}^{\xi }\left( {B \mid \sigma > t}\right) = \frac{{n}^{\xi }\left( {B : \sigma > t}\right) }{{n}^{\xi }\left( {\sigma > t}\right) }\;\text{ for }\;B \in \mathcal{B}\left( {\mathcal{W}\left( D\right) }\right) .\n\]\n\nThen \( {\...
In the above,\n\n\[ \n{K}^{\xi }\left( {s, x}\right) = \frac{{K}^{ + }\left( {s, x - \xi }\right) h\left( {t - s, x}\right) }{K\left( t\right) },\;s > 0,\;x \in \dot{D}\n\]\n\n\[ \np\left( {s, x;u, y}\right) = \frac{h\left( {t - u, y}\right) }{h\left( {t - s, x}\right) }{p}^{0}\left( {u - s, x, y}\right) ,0 < s < u < t...
Yes
Lemma 6.9. Let \( g\left( s\right) \) be a bounded \( \left\{ {{\mathcal{B}}_{t}\left( {W\left( D\right) }\right) }\right\} \) -well measurable process. Then for fixed \( s, w \in W\left( D\right) \) and for any \( \varepsilon \geq {\varepsilon }^{\prime } > 0 \) , \[ {\int }_{\mathcal{W}\left( D\right) }\left| {{\int ...
Proof. By the corollary to Lemma 6.8, \[ {\int }_{\mathcal{W}\left( D\right) }\left| {{\int }_{0}^{{\varepsilon }^{\prime }}{\Phi }_{g}^{s}\left( {u, w,{w}^{\prime }}\right) d{w}^{\prime d}\left( u\right) }\right| {I}_{\{ \sigma \left( {w}^{\prime }\right) > \varepsilon \} }{n}^{w\left( s\right) }\left( {d{w}^{\prime }...
Yes
Lemma 6.11. Let \( g\left( s\right) \) be a \( \left\{ {{\mathcal{B}}_{t}\left( {W\left( D\right) }\right) }\right\} \) -adapted process such that \( s \mapsto g\left( s\right) \) is right-continuous with left limits and \( s \mapsto E\left\lbrack {g{\left( s\right) }^{2}}\right\rbrack \) is locally bounded. Let \( {Y}...
Proof. First assume that \( g\left( s\right) \) is a step process. Then by Lemma 6.6\n\n\[ \n{S}_{\varepsilon }\left( t\right) \rightarrow {\int }_{0}^{t}g\left( s\right) d{B}^{d}\left( u\right) + {\int }_{0}^{t}g\left( u\right) {d\phi }\left( u\right) \;\text{ a.s.,} \n\]\n\nand by Lemma 6.10,\n\n\[ \n{M}_{\varepsilon...
Yes
Theorem 6.7. Let \( g\left( t\right) \) be an \( \left( {\mathcal{F}}_{t}^{0}\right) \) -adapted process such that \( t \mapsto \) \( g\left( t\right) \) is right-continuous with left-hand limits and \( t \mapsto E\left\lbrack {g{\left( t\right) }^{2}}\right\rbrack \) is locally bounded. Then we have\n\n\[ \mathop{\sum...
Proof. Let \( A \) and \( L \) be defined by (6.45) and (6.46). By Itô’s formula,\n\n\[ g\left( u\right) {df}\left( {u, X\left( u\right) }\right) = g\left( u\right) \frac{\partial f}{\partial t}\left( {u, X\left( u\right) }\right) {du} \]\n\n\[ + \mathop{\sum }\limits_{{i = 1}}^{d}\mathop{\sum }\limits_{{k = 1}}^{r}g\l...
Yes
Let \( D \) be a polydisc in \( {C}^{2} \) given by\n\n\[ D = \left\{ {z = \left( {{z}^{1},{z}^{2}}\right) \in {C}^{2};\left| {z}^{i}\right| < 1, i = 1,2}\right\} \]\n\nand let \( {z}_{0} = \left( {{z}_{0}^{1},{z}_{0}^{2}}\right) \in D \) . Let \( Z\left( t\right) = \left( {{Z}^{1}\left( t\right) ,{Z}^{2}\left( t\right...
Indeed \( \phi \left( {Z\left( t\right) }\right) \) is a bounded martingale and \( \mathop{\lim }\limits_{{t \uparrow \infty }}\phi \left( {Z\left( t\right) }\right) = \) \( \phi \left( {Z}_{\infty }\right) \) . Hence\n\n\[ \phi \left( {z}_{0}\right) = E\left\lbrack {\phi \left( {Z\left( 0\right) }\right) }\right\rbrac...
Yes
Proposition 8.1. (i) \( \left\{ {\sqrt{a!}{H}_{a}\left( w\right) ;a \in \Lambda }\right\} \) is an \( {ONB} \) in \( {L}_{2} \) .
Proof. First recall that \( {\left. \left\{ \sqrt{n!}{H}_{n}\left( x\right) \right\} \right\} }_{n = 0}^{\infty } \) is an \( {ONB} \) in \( {\mathcal{L}}_{2}\left( {R,{N}_{1}}\right) \) , where \( {N}_{1} \) is the one-dimensional standard Gaussian measure, i.e.\n\n\[ \n{N}_{1}\left( {dx}\right) = \frac{1}{\sqrt{2\pi ...
Yes
(i) (Monotonicity) if \( s \leqq {s}^{\prime } \) and \( 1 < {p}^{\prime } \leqq p < \infty \), then,\n\n\[ \parallel F{\parallel }_{p, s} \leqq \parallel F{\parallel }_{{p}^{\prime },{s}^{\prime }},\;F \in P\left( E\right) . \]
Proof. (i) Since \( {T}_{t} \) is a contraction semigroup on \( {L}_{p}\left( E\right) ,1 < p < \infty \) , the operator\n\n\[ {\left( I - L\right) }^{-s} = \frac{1}{\Gamma \left( s\right) }{\int }_{0}^{\infty }{e}^{-t}{t}^{s - 1}{T}_{t}{dt} \]\n\nis also a contraction on \( {L}_{p}\left( E\right) \) if \( s > 0 \) :\n...
No
Lemma 8.1. (Commutation relations involving \( D \) ). For a real sequence \( \phi = {\left( {\phi }_{n}\right) }_{n = 0}^{\infty } \), \[ D{T}_{\phi } = {T}_{{\phi }^{ + }}D\;\text{ on }\;P\left( E\right) \] where \[ {\phi }^{ + }\left( n\right) = \phi \left( {n + 1}\right) ,\;n = 0,1,\cdots . \]
Proof. For simplicity, we only show the lemma in case of \( E = \mathbf{R} \) . By Proposition 8.1, it suffices to prove \[ D{T}_{\phi }{H}_{a}\left( w\right) = {T}_{{\phi }^{ + }}D{H}_{a}\left( w\right) \;\text{ for every }\;a \in \Lambda , \] where \[ {H}_{a}\left( w\right) = \mathop{\prod }\limits_{{j = 1}}^{\infty ...
Yes
Proposition 8.7. \( {J}_{n} : {L}_{2} \rightarrow {C}_{n} \) is a bounded operator on \( {L}_{p}, p \in \) \( \left( {1,\infty }\right) \) .
Proof. Let \( p > 2 \) and \( t \) be the positive constant such that\n\n\[ \n{e}^{2t} = p - 1 \]\n\nThen by Proposition 8.6 we have\n\n\[ \n{\begin{Vmatrix}{T}_{t}F\end{Vmatrix}}_{p} \leqq \parallel F{\parallel }_{2}\;F \in {L}_{p}. \]\n\nIn particular\n\n\[ \n{\begin{Vmatrix}{T}_{t}{J}_{n}F\end{Vmatrix}}_{p} \leqq {\...
Yes
Proposition 8.8. Let \( {E}_{1} \) and \( {E}_{2} \) be real separable Hilbert spaces. For any \( p, q \in \left( {1,\infty }\right) \) and \( k = 0,1,2,\cdots \) such that\n\n\[ \frac{1}{p} + \frac{1}{q} = \frac{1}{r} < 1 \]\n\nthere exists a constant \( {C}_{p, q, k} > 0 \) such that\n\n(8.46)\n\n\[ \parallel F \otim...
Proof. Indeed,\n\n\[ D\left( {F \otimes G}\right) = {DF} \otimes G + F \otimes {DG} \]\n\nand hence\n\n\[ {\left| D\left( F \otimes G\right) \right| }_{H \otimes {E}_{1} \otimes {E}_{2}} \leqq {\left| DF\right| }_{H \otimes {E}_{1}}{\left| G\right| }_{{E}_{2}} + {\left| F\right| }_{{E}_{1}}{\left| DG\right| }_{H \otime...
Yes
Theorem 9.1. Let \( F : W \rightarrow {R}^{d} \) be a \( d \) -dimensional Wiener mapping satisfying Malliavin's conditions of (A.1) and (A.2). Then, for every \( p > 1 \) and \( k = 0,1,2,\cdots \), there exists a positive constant \( C = C\left( {p, k;F}\right) \) such that the following estimate holds: For every \( ...
Proof. Define \( q \) by \( 1/p + 1/q = 1 \). Then by the duality \[ \parallel \phi \circ F{\parallel }_{p, - {2k}} = \sup \left\{ {{\int }_{W}\phi \circ F\left( w\right) \cdot g\left( w\right) P\left( {dw}\right) ;g \in {D}_{q,{2k}},}\right. \] \[ \parallel g{\parallel }_{q,{2k}} \leqq 1\} \] and, by (9.8) and (9.9), ...
Yes
Lemma 9.1. Let \( {\delta }_{y} \in {\mathcal{S}}^{\prime }\left( {R}^{d}\right) \) be the Dirac \( \delta \) -function at \( y \in {R}^{d} \) and \( m \) be a positive integer. Then\n\n\[ \n{\delta }_{y} \in {\mathcal{S}}_{-{2m}}\text{ and }{D}_{\alpha }{\delta }_{y} \in {\mathcal{S}}_{-{2m} - {2k}}\;\text{ if }m > \f...
Proof. First we note that the operator \( A = : {\left( 1 + {\left| x\right| }^{2} - \Delta /2\right) }^{-1} \) is defined by a kernel \( A\left( {x, y}\right) \) : \n\n\[ \n{Af}\left( x\right) = {\int }_{{R}^{d}}A\left( {x, y}\right) f\left( y\right) {dy} \n\] \n\nand \( A\left( {x, y}\right) \) is given by \n\n\[ \nA...
Yes
Theorem 9.2. Let \( F : W \rightarrow {R}^{d} \) satisfy the conditions (A.1) and (A.2) and let \( {F}_{ * }\left( P\right) \) be the probability law of \( F \) . Then \( {F}_{ * }\left( P\right) \) has the smooth density \( {p}_{F}\left( y\right) \) with respect to the Lebesgue measure \( {dy} \) on \( {\mathbf{R}}^{d...
Proof. Let \( k \) be a non-negative integer. By the lemma above and the continuity of the mapping: \( {\mathcal{S}}_{-{2m}} \ni T \rightarrow T \circ F \in {D}_{p, - {2m}} \), we can deduce at once that the mapping:\n\n\[ \n{R}^{d} \ni y \rightarrow {\delta }_{y}\left( F\right) \in {D}_{p, - 2{m}_{0} - {2k}} \n\]\n\ni...
Yes
Let \( r = d \) and \( F : W\left( { = {W}_{0}^{d}}\right) \rightarrow {R}^{d} \) be defined, for fixed \( t > 0 \) and \( x \in {\mathbf{R}}^{d} \), by \( F\left( w\right) = x + w\left( t\right) \) . Then \( F \in {D}_{ - }\left( {\mathbf{R}}^{d}\right) \) (actually \( \in P\left( {R}^{d}\right) ) \) and \( {\sigma }^...
\[ \mathop{\lim }\limits_{{\left| x\right| \rightarrow \infty }}k\left( x\right) /{\left| x\right| }^{2} = \alpha < \infty . \] If \( \alpha \) is sufficiently small (actually it is sufficient to assume \( \alpha < 1/{2t} \) ), we can easily see that \[ g\left( w\right) = \exp \left\{ {{\int }_{0}^{t}k\left( {x + w\lef...
Yes
Theorem 9.4. Let \( \{ F\left( {\varepsilon, w}\right) ,\varepsilon \in (0,1\rbrack \} \) be a family of elements in \( {D}_{\infty }\left( {R}^{d}\right) \) such that it has the asymptotic expansion:\n\n(9.31)\n\n\[ F\left( {\varepsilon, w}\right) \sim {f}_{0} + \varepsilon {f}_{1} + \cdots \;\text{ in }{\mathbf{D}}_{...
Proof. We set \( F\left( {0, w}\right) = {f}_{0},{\sigma }^{ij}\left( 0\right) = < D{f}_{0}^{i}, D{f}_{0}^{j}{ > }_{H},\gamma \left( \varepsilon \right) = \left( {{\gamma }_{ij}\left( \varepsilon \right) }\right) \) : \( = {\sigma }^{-1}
Yes
Lemma 10.1. Let \( \eta : W \rightarrow R \) be a real Wiener functional. Suppose that \( {c}_{i}, i = 0,1,2,3 \) exist such that\n\n(10.17)\n\n\[ P\left\lbrack {\left| \eta \right| < {n}^{-{c}_{0}}}\right\rbrack \leq {c}_{1}\exp \left\lbrack {-{c}_{2}{n}^{{c}_{3}}}\right\rbrack, n = 1,2,\cdots . \]\n\nThen \( \;E\left...
The proof is obvious and is ommitted.
No
Lemma 10.2. Let \( \eta \) and \( \widetilde{\eta } \) be \( {\mathcal{S}}^{d} \) -valued Wiener functionals such that \( \eta \geqq \widetilde{\eta } \) a.s. Suppose that \( {c}_{i}, i = 0,1,2,3,4 \) exist such that \( \parallel \widetilde{\eta }\parallel \leqq {c}_{0} \) a.a.w. and\n\n(10.18)\n\[ \mathop{\sup }\limit...
Proof. Let \( \bar{W} = \left\{ {w;\eta \geq \widetilde{\eta }}\right. \) and \( \left. {\parallel \widetilde{\eta }\parallel \leq {c}_{0}}\right\} \) . Then \( P\left( \bar{W}\right) = 1 \) . Set\n\n\[ {W}_{n}\left( l\right) = \left\{ {w \in \bar{W};\widetilde{\eta }\left( l\right) \geq {n}^{-{c}_{1}}}\right\} \;\text...
Yes
Lemma 10.3. Suppose that there exist constants \( {c}_{i}, i = 0,1,2,3,4 \) and \( \left\{ {\mathcal{B}}_{t}\right\} \) -stopping times \( 0 \leq {\sigma }_{1} \leq {\sigma }_{2} \leq 1 \) such that \( \left| {{f}_{\alpha }\left( s\right) }\right| \leq {c}_{0} \) for \( s \in \left( {{\sigma }_{1},{\sigma }_{2}}\right\...
Proof is immediate if we notice\n\n\[ \eta \left( l\right) = \mathop{\sum }\limits_{{\alpha = 1}}^{r}{\int }_{0}^{1}{\left\lbrack l \cdot {f}_{\alpha }\left( s\right) \right\rbrack }^{2}{ds} \]\n\nand choose\n\n\[ {\widetilde{\eta }}^{ij} = \mathop{\sum }\limits_{{\alpha = 1}}^{r}{\int }_{{\sigma }_{1}}^{{\sigma }_{2}}...
Yes
Lemma 10.4. (Key lemma). Let \( \xi \left( t\right) \) be an Itô process with characteristics \( {\xi }_{\alpha }\left( t\right) ,\alpha = 0,1,\cdots, r \) . Assume furthermore, that \( {\xi }_{0}\left( t\right) \) is also an Itô process with characteristics \( {\xi }_{0,\alpha }\left( t\right) ,\alpha = 0,1,\cdots, r ...
Here we present a proof of this lemma along the lines of [203] and [232]. It should be remarked that a much simplified different proof was given recently by Norris [222]. First we give a series of probabilistic lemmas.
No
Lemma 10.5. Let \( K > 0 \) and \( X\left( t\right) \) be a one-dimensional continuous semimartingale\n\n\[ X\left( t\right) = X\left( 0\right) + m\left( t\right) + A\left( t\right) \]\n\nsuch that \( \langle m\rangle \left( t\right) = {\int }_{0}^{t}\alpha \left( s\right) {ds}, A\left( t\right) = {\int }_{0}^{t}\beta ...
Proof.* By Theorem II-7.2', there exists a one-dimensional Brownian motion \( b\left( t\right) \left( {b\left( 0\right) = 0}\right) \) such that\n\n\[ X\left( t\right) - X\left( 0\right) = b\left( {\langle m\rangle \left( t\right) }\right) + A\left( t\right) .\n\nSince \( \{ \;\left| {X\left( t\right) - X\left( 0\right...
Yes
Lemma 10.6. Let \( b = \left( {b\left( t\right) }\right) \) be a one-dimensional Brownian motion. Then for every \( a > 0 \) and \( \varepsilon > 0 \) , \[ P\left( {{\sigma }_{\lbrack 0, a\rbrack }\left( b\right) < \varepsilon }\right) \leq \sqrt{2}\exp \left\lbrack {-\frac{a}{{2}^{7}{\varepsilon }^{2}}}\right\rbrack ....
Proof. Without loss of generality, we may assume that \( b\left( 0\right) = 0 \) . We use the following well known expansion formula of \( b\left( t\right) \) in Fourier series: \[ b\left( t\right) = t{\xi }_{0} + \sqrt{2}\mathop{\sum }\limits_{{k = 1}}^{\infty }\left\lbrack {{\xi }_{k}\frac{\left( \cos 2\pi kt - 1\rig...
Yes
Lemma 10.9. Let \( f\left( t\right) \) be a continuous function on \( \left\lbrack {a, b}\right\rbrack \) and set\n\n\[ g\left( t\right) = g\left( a\right) + {\int }_{a}^{t}f\left( s\right) {ds},\;t \in \left\lbrack {a, b}\right\rbrack .\n\]\n\nIf\n\n\[ \mathop{\sup }\limits_{{a \leq s < t \leq b}}\frac{\left| f\left( ...
Proof is easily provided if we note that, first \( {t}_{0} \in \left\lbrack {a, b}\right\rbrack \) exists such\n\nthat\n\n\[ \left| {f\left( {t}_{0}\right) }\right| > \varepsilon {\left( b - a\right) }^{-1/2} \]\n\nand then an interval \( I, I \subset \left\lbrack {a, b}\right\rbrack \), exists with length \( {\varepsi...
Yes
Theorem 10.4. Let \( x \in {R}^{d} \) be fixed. Then \( {X}^{e}\left( {1, x, w}\right) \in {D}_{\infty }\left( {R}^{d}\right) \) has the asymptotic expansion\n\n\[ \n{X}^{\varepsilon }\left( {1, x, w}\right) \sim {f}_{0} + \varepsilon {f}_{1} + {\varepsilon }^{2}{f}_{2} + \cdots \;\text{ in }{D}_{\infty }\left( {\mathb...
Proof. The proof is easily provided by successive applications of the Itô formula:\n\n\[ \n{X}^{\varepsilon }\left( {1, x, w}\right) - x \n\]\n\n\[ \n= \varepsilon \mathop{\sum }\limits_{{\alpha = 1}}^{r}{\int }_{0}^{1}{V}_{\alpha }\left( {{X}^{\varepsilon }\left( s\right) }\right) \circ d{w}_{s}^{\alpha } + {\varepsil...
Yes