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  2. Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Brownian_motion

    X is a Brownian motion with respect to P, i.e., the law of X with respect to P is the same as the law of an n-dimensional Brownian motion, i.e., the push-forward measure X ∗ (P) is classical Wiener measure on C 0 ([0, ∞); R n). both X is a martingale with respect to P (and its own natural filtration); and

  3. Wiener process - Wikipedia

    en.wikipedia.org/wiki/Wiener_process

    A single realization of a one-dimensional Wiener process A single realization of a three-dimensional Wiener process. In mathematics, the Wiener process is a real-valued continuous-time stochastic process named in honor of American mathematician Norbert Wiener for his investigations on the mathematical properties of the one-dimensional Brownian motion. [1]

  4. Brownian model of financial markets - Wikipedia

    en.wikipedia.org/wiki/Brownian_model_of...

    The Brownian motion models for financial markets are based on the work of Robert C. Merton and Paul A. Samuelson, as extensions to the one-period market models of Harold Markowitz and William F. Sharpe, and are concerned with defining the concepts of financial assets and markets, portfolios, gains and wealth in terms of continuous-time stochastic processes.

  5. Geometric Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Geometric_Brownian_motion

    For the simulation generating the realizations, see below. A geometric Brownian motion (GBM) (also known as exponential Brownian motion) is a continuous-time stochastic process in which the logarithm of the randomly varying quantity follows a Brownian motion (also called a Wiener process) with drift. [1]

  6. Reflection principle (Wiener process) - Wikipedia

    en.wikipedia.org/wiki/Reflection_principle...

    More formally, the reflection principle refers to a lemma concerning the distribution of the supremum of the Wiener process, or Brownian motion. The result relates the distribution of the supremum of Brownian motion up to time t to the distribution of the process at time t. It is a corollary of the strong Markov property of Brownian motion.

  7. Deposition (aerosol physics) - Wikipedia

    en.wikipedia.org/wiki/Deposition_(aerosol_physics)

    Deposition due to Brownian motion obeys both Fick's first and second laws. The resulting deposition flux is defined as =, where J is deposition flux, n is the initial number density, D is the diffusion constant and t is time. This can be integrated to determine the concentration at each moment of time.

  8. HIV isn't the death sentence it once was: How related deaths ...

    www.aol.com/hiv-isnt-death-sentence-once...

    Studies suggest that this was due to fewer medical professionals providing these advanced treatments to Black populations and government policies limiting care in low-income communities, on top of ...

  9. Rotational diffusion - Wikipedia

    en.wikipedia.org/wiki/Rotational_diffusion

    The standard translational model of Brownian motion. Much like translational diffusion in which particles in one area of high concentration slowly spread position through random walks until they are near-equally distributed over the entire space, in rotational diffusion, over long periods of time the directions which these particles face will spread until they follow a completely random ...