Lectures on Super Analysis -- Why necessary and What's that?
Atsushi Inoue

TL;DR
This paper introduces super analysis, developing calculus on superspaces with Grassmann variables, and applies it to quantum mechanics, random matrix theory, and differential equations, highlighting its necessity and novel methods.
Contribution
It provides a comprehensive foundation of super analysis, including differential calculus, integral formulas, and applications to quantum mechanics and differential equations, with new constructions and proofs.
Findings
Developed super-smooth function spaces and calculus on superspaces.
Applied super analysis to derive solutions in quantum mechanics and random matrix theory.
Proved Berezin's change of variables formula and constructed Hamilton flows in superspace.
Abstract
Roughly speaking, RA(=real analysis) means to study properties of (smooth) functions defined on real space, and CA(=complex analysis) stands for studying properties of (holomorphic) functions defined on spaces with complex structure. But to treat boson and fermion on equal footing, we need to prepare as a "ground ring", Fr\'echet-Grassmann algebra having countably many Grassmann generators and we define so-called superspace over such algebra. On such superspaces, we introduce spaces of super-smooth functions and develop elementary differential and integral calculus. With a slight preparation of functional analysis, we explain the Efetov's method in RMT(=random matrix theory). The free Weyl equation is treated to answer the problem posed by Feynman in their famous book. Simple examples of SUSYQM(=supersymmetric quantum mechanics) are calculated from this point of view. In the final…
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Random Matrices and Applications · advanced mathematical theories
