Continuous everywhere nondifferentiable nowhere

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Everywhere continuous, nowhere differentiable functions, such as those representing Brownian motion, have significant applications in physics, chemistry, and biology. They are particularly useful in modeling stochastic processes in engineering and financial markets, where they help in pricing derivative securities. The short-term returns on securities are often modeled as normally distributed, aligning with these mathematical concepts. Recommended literature includes "Brownian Motion and Stochastic Flow Systems" by J. Michael Harrison and "Financial Calculus" by Baxter and Rennie for further exploration of these applications. Overall, these functions play a crucial role in various scientific and financial modeling contexts.
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Do everywhere continuous, nowhere differentiable functions realistically model anything in physics, chemistry, or biology ?
Do such functions have applications to those sciences ?
 
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neginf said:
Do everywhere continuous, nowhere differentiable functions realistically model anything in physics, chemistry, or biology ?
Do such functions have applications to those sciences ?

Certain types of functions of this sort are the sample paths of Brownian motions.

These models are also used to model derivative securities since short term returns on securities are approximately normally distributed.

In engineering problems continuous Brownian motions are commonly used to model stochastic processes.

A great book on Brownian motion is "Brownian Motion and Stochastic Flow Systems" by J. Michael Harrison

Also you might like "Financial Calculus" by Baxter and Rennie for derivative securities pricing.
 
The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...

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