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The explanation of a continuous Markov process X(t) defines an indexed collection of sigma algebras by \mathcal{F}_t = \sigma\{ X(s): s < t\} and this collection is said to be increasing with respect to the index t.
I'm trying to understand why the notation used for set inclusion is used to express the relation of "increasing" for a collection of sigma algebras.
A straightforward approach is to think of a set of sigma algebras that are each a collection of subsets of the same set and to define the concept of sub-sigma algebra in terms of one collection of sets being a subset of another collection of sets.
However, don't \mathcal{F}_t and \mathcal{F}_s denote sigma algebras defined on different sets when s \ne t ? I think of \mathcal{F}_t as being a sigma algebra of subsets of (only) the set of all trajectories of the process up to time t. \ If s > t then isn't \mathcal{F}_s a sigma algebra of subsets of a different set of trajectories?
I'm trying to understand why the notation used for set inclusion is used to express the relation of "increasing" for a collection of sigma algebras.
A straightforward approach is to think of a set of sigma algebras that are each a collection of subsets of the same set and to define the concept of sub-sigma algebra in terms of one collection of sets being a subset of another collection of sets.
However, don't \mathcal{F}_t and \mathcal{F}_s denote sigma algebras defined on different sets when s \ne t ? I think of \mathcal{F}_t as being a sigma algebra of subsets of (only) the set of all trajectories of the process up to time t. \ If s > t then isn't \mathcal{F}_s a sigma algebra of subsets of a different set of trajectories?