Hasse-Schmidt Derivations on Grassmann Algebras - With Applications to Vertex Operators (Paperback, Softcover reprint of the original 1st ed. 2016)

This book provides a comprehensive advanced multi-linear algebra course based on the concept of Hasse-Schmidt derivations on a Grassmann algebra (an analogue of the Taylor expansion for real-valued functions), and shows how this notion provides a natural framework for many ostensibly unrelated subjects: traces of an endomorphism and the Cayley-Hamilton theorem, generic linear ODEs and their Wronskians, the exponential of a matrix with indeterminate entries (Putzer's method revisited), universal decomposition of a polynomial in the product of two monic polynomials of fixed smaller degree, Schubert calculus for Grassmannian varieties, and vertex operators obtained with the help of Schubert calculus tools (Giambelli's formula). Significant emphasis is placed on the characterization of decomposable tensors of an exterior power of a free abelian group of possibly infinite rank, which then leads to the celebrated Hirota bilinear form of the Kadomtsev-Petviashvili (KP) hierarchy describing the Plucker embedding of an infinite-dimensional Grassmannian. By gathering ostensibly disparate issues together under a unified perspective, the book reveals how even the most advanced topics can be discovered at the elementary level.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	IMPA Monographs, 4
Release date:	May 2018
First published:	2016
Authors:	Letterio Gatto • Parham Salehyan
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	195
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-81134-5
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Functional analysis Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations Promotions
LSN:	3-319-81134-7
Barcode:	9783319811345

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