Non-Standard Analysis: Infinitesimals in Finance

Non-Standard Analysis (NSA), introduced by Abraham Robinson (1960), provides a rigorous foundation for Infinitesimals—numbers that are smaller than any positive real number but greater than zero. In 2026, NSA is the primary bridge between the discrete "ticks" of High-Frequency Trading (HFT) and the continuous smooth curves of Stochastic Calculus.

1. The Hyperreal Number System (\mathbb{R}^*)

NSA extends the real numbers \mathbb{R} to the Hyperreals \mathbb{R}^*, which include:

2. Bridging the Discrete-Continuous Gap

In Finance, the price process is actually a sequence of discrete trades. However, the math of Black-Scholes uses continuous-time Brownian Motion (dW_t).

A. The Hyperreal Random Walk

Using NSA, we model Brownian motion as a Hyperfinite Random Walk with infinitesimal steps of size \Delta t = \epsilon.

3. High-Frequency Trading (HFT) Microstructure

Modern HFT systems operate at sub-millisecond scales where market "liquidity" looks non-continuous.

4. Non-Standard Errors (NSE)

A 2025 research focus is the Non-Standard Error—the uncertainty introduced by the variation in researchers' modeling choices. Even with identical data, differences in infinitesimal assumptions lead to divergent volatility estimates in HFT environments.


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