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.
Who firstly discovered mathematical theory for random walks, that rediscovered later by Einstein?
Factorisation by trial division: The essential idea of factorisation by trial division is straightforward. Let n be a positive integer. We know that n is either prime or has a prime divisor less than or equal to √n. Therefore, if we divide n in
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Suppose that p and q are different primes and n = pq. (i) Express p + q in terms of Ø(n) and n. (ii) Express p - q in terms of p + q and n. (iii) Expl
Who developed a rigorous theory for Brownian motion?
Select a dataset of your interest (preferably related to your company/job), containing one variable and atleast 100 data points. [Example: Annual profit figures of 100 companies for the last financial year]. Once you select the data, you should compute 4-5 summary sta
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Measuring complexity: Many algorithms have an integer n, or two integers m and n, as input - e.g., addition, multiplication, exponentiation, factorisation and primality testing. When we want to describe or analyse the `easiness' or `hardness' of the a
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