Explain a rigorous theory for Brownian motion
Explain a rigorous theory for Brownian motion developed by Wiener Norbert.
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Mathematics of Brownian motion was to become an essential modelling device for quantitative finance decades later. The beginning point for almost all financial models, the first equation written down in many technical papers, has the Wiener process as the representation for randomness in asset prices.
A software company has a new product specifically designed for the lumber industry. The VP of marketing has been given a budget of $1,35,00to market the product over the quarter. She has decided that $35,000 of the budget will be spent promoting the product at the nat
Who had find Monte Carlo and finite differences of the binomial model?
Factorisation by Fermat's method: This method, dating from 1643, depends on a simple and standard algebraic identity. Fermat's observation is that if we wish to nd two factors of n, it is enough if we can express n as the difference of two squares.
The basic Fermat algorithm is as follows: Assume that n is an odd positive integer. Set c = [√n] (`ceiling of √n '). Then we consider in turn the numbers c2 - n; (c+1)2 - n; (c+2)2 - n..... until a perfect square is found. If th
Examples of groups: We now start to survey a wide range of examples of groups (labelled by (A), (B), (C), . . . ). Most of these come from number theory. In all cases, the group axioms should be checked. This is easy for almost all of the examples, an
Explain lognormal stochastic differential equation for evolution of an asset.
Prime number theorem: A big deal is known about the distribution of prime numbers and of the prime factors of a typical number. Most of the mathematics, although, is deep: while the results are often not too hard to state, the proofs are often diffic
Mathematical and theoretical biology is an interdisciplinary scientific research field with a range of applications in the fields of biology, biotechnology, and medicine. The field may be referred to as mathematical biology or biomathematics to stress the mathematical
what is uniform scaling in computer graphic
Where would we be without stochastic or Ito^ calculus?
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