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Stochastic Calculus / Brownian Motion: Construction and Properties

Constructing Brownian Motion

It is easy to write down the properties Brownian motion should have — continuous paths, independent Gaussian increments, zero mean at each time. What is not obvious is that a random process with all of these properties simultaneously exists on a rigorous probability space. The existence question matters: the stochastic integral ∫g dW\int g \, dW in Black-Scholes is only well-defined if WW is an honest probability-theoretic object, not a heuristic convenience.

This note answers the existence question. It first shows that the four defining properties force the law to be essentially unique (up to drift and variance). It then constructs standard Brownian motion explicitly on the interval [0,1][0,1] using Lévy's dyadic-interpolation scheme: a countable family of independent normals is assembled step by step, always maintaining consistency with the joint normal structure. The construction is grounded in the linear-combinations-of-normals characterisation from the previous lesson — no technical measure theory beyond the multivariate CLT is required.

Learning objectives. By the end of this note you should be able to:
  • State the four defining properties of Brownian motion and explain why each is physically and financially motivated.
  • Derive that E[Wt]=0\mathbb{E}[W_t] = 0 and Var(Wt)=t\text{Var}(W_t) = t from the stationarity and independence of increments alone.
  • Explain Kolmogorov's consistency theorem (at a conceptual level) and why it justifies assembling finite-dimensional joint normals into a bona-fide process.
  • Describe the dyadic-interpolation construction: how Wk/2nW_{k/2^n} is built from Wk/2n−1W_{k/2^{n-1}} using a fresh independent normal at each step.
  • Verify that consecutive increments at each dyadic level are independent standard normals, using Proposition 2.2.1.
  • State the Kolmogorov–Chentsov criterion and use it to assert Hölder continuity of BM paths.

In this lesson

  1. The four defining properties
  2. Consistency and the existence problem
  3. Lévy's dyadic construction
  4. Brownian motion with drift
  5. Path structure: nowhere differentiability and total variation

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