Stochastic Analysis

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Targeted at university seniors and graduate students in probability theory or mathematical finance, this book begins with a review of foundational probability concepts. It progresses through discrete-time martingales and continuous martingales, covering stochastic integrations and differential equations influenced by Brownian motion. The final chapter applies these theories to mathematical finance. Readers should have a background in linear algebra and measure theory, as the text includes rigorous proofs for all key results.