Brownian Motion and Stochastic Calculus Chapter 1 Section 1

PDF of Solutions

Problem 1.1.5

 Assume for each t that X_{t}(\omega)-Y_{t}(\omega)=0 for \omega\in A_t such that P(A_t^C)=0 (that is, Y is a modification of X).  Let B= \mathbb Q \cap [0,\infty).   For t_k \in B let A_k = \{ \omega | X_{t_k}(\omega)-Y_{t_k}(\omega)= 0\}.  Note that \cup A_k^C is a countable union of null sets and so is also a null set.  Now let \omega \in (\cup A_k^C)^C = \cap A_k.  Then X_{t_k}(\omega) - Y_{t_k}(\omega)=0 for every rational number t_k.  

Fix \omega \in \cap A_k.  Each t\in [0, \infty) is the limit of a sequence of rational numbers \{t_k\}_{k=1}^\infty  in (t, \infty) and since \omega \in \cap A_k  we have X_{t_k}(\omega) - Y_{t_k} (\omega) =0 for each t_k.  By right continuity we see that it must be that:

X_t(\omega)- Y_t(\omega) = \lim_{k\to \infty} X_{t_k}(\omega) - Y_{t_k} (\omega) =0

Then for this \omega we see that X_t(\omega) = Y_t(\omega) for all t.  Since \omega \in \cap A_k was chosen arbitrarily, this is true for all such \omega\in \cap A_k.  Recall (\cap A_k)^C is a null set, so we have X_t(\omega) = Y_t(\omega) for all t, except on a null set of \Omega.  In other words:

P(X_t =Y_t\  \forall\  0\leq t< \infty) =1

Exercise 1.1.7

It is enough to show continuity at the rational numbers in (0, t_0) is in \mathcal F_{t_0}^X.  Continuity everywhere in (0,t_0) will follow from right continuity and fact that left hand limits exist.  

Let s be any real number in (0,t_0)X_t(\omega) is right continuous at s, it will be continuous if the left hand limit \lim_{t\to s^+} X_t(\omega) = X_s(\omega).  We can represent this in set notation using the following:  

A= \bigcap_{j=1}^\infty \bigcup_{k=1}^\infty \bigcap_{n=k}^\infty \{\omega : |X_{s-{1\over n}}(\omega) - X_s(\omega)| \leq {1\over j} \}

Explanation:  Fix j.  Then \cup \cap  \{ \omega : |X_{s-{ 1\over n }}(\omega) - X_s(\omega)| \leq {1\over j} \} gives all \omega such that |X_{s-{1\over n}}(\omega) - X_s(\omega)| is eventually less that {1\over j}.  Taking the intersection over all j we have all \omega such that |X_{s-{1\over n}}(\omega) - X_s(\omega)| is eventually less than all {1\over j}.  Meaning, the \omega such that \lim_{t\to s^+} X_{t}(\omega) = X_s(\omega).  So A is the event that X_t is continuous at s.  

Clearly, X_s \in \mathcal F_s^X.  And for each n, X_{s-{1\over n}}\in \mathcal F_s^X since \mathcal F_{s-{1\over n}}^X \subset \mathcal F_s^X.   Thus |X_{s-{1\over n}}  -X_s|\in \mathcal F_s^X.  Then \{ \omega : |X_{s-{1\over n}}(\omega)  -X_s(\omega)|\leq {1\over j} \}\in\mathcal F_s^X for each j.  Since \sigma-algebras are closed under countable unions and intersections we have that A\in \mathcal F_s^X\subset \mathcal F_{t_0}^X.  

We have shown the result for general s\in (0, t_0), so it holds for rational numbers in particular.  The advantage of using rational numbers is they are countable.  So, the event B that X_t is continuous at all rational numbers is a countable intersection of sets in \mathcal F_{t_0}^X.  So B\in \mathcal F_{t_0}^X.  

Exercise 1.1.10

Similar to previous exercise

Problem 1.1.16 (not mine)

Let \tau: \Omega\to [0, \omega) \times \Omega be defined as \tau(\omega) = (T(\omega), \omega).  Then \tau is measurable since T is measurable (each component of \tau is measurable).   Now let A \in \mathcal B ( \mathbb R^d).  Note that X(T) = X\circ \tau .  The composition of measurable functions is measurable, thus X(T) is measurable.

Problem 1.1.17

Let B= \{X_T \in A\}.  Note B^C = \{X_T \in A^C\}.  Similarly if B = \{X_T \in A \}\cup \{T=\infty\}, then B^C = \{X_T \in A^C\} \cap \{T<\infty\} = \{X_T \in A^C\} (I think).  

Now let B_n = \{X_T \in A_n\} and C_n = \{X_T \in A_n\} \cup \{ T = \infty\}.  Then the union of a countable number of such sets is 

\{\bigcup \{X_T \in A_n\} \} \cup \{ T= \infty\}

= \{X_T \in \cup A_n \} \cup \{T= \infty\}

So \mathcal F_T is closed under complements and countable unions.  Thus it is a \sigma-algebra.  And clearly \mathcal F_T is a subset of \mathcal F.  


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