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This book is the first to provide a comprehensive and elementary account of the new Iwasawa theory innovated via the deformation theory of modular forms and Galois representations. The deformation theory of modular forms is developed by generalizing the cohomological approach discovered in the author's 2019 AMS Leroy P Steele Prize-winning article without using much algebraic geometry.Starting with a description of Iwasawa's classical results on his proof of the main conjecture under the Kummer-Vandiver conjecture (which proves cyclicity of his Iwasawa module more than just proving his main conjecture), we describe a generalization of the method proving cyclicity to the adjoint Selmer group of every ordinary deformation of a two-dimensional Artin Galois representation.The fundamentals in the first five chapters are as follows:Iwasawa's proof;a modular version of Iwasawa's discovery by Kubert-Lang as an introduction to modular forms;a level-headed description of the p-adic interpolation of modular forms and p-adic L-functions, which are developed into a modular deformation theory;Galois deformation theory of the abelian case.The continuing chapters provide the level of exposition accessible to graduate students, while the results are the latest. Readers will find:the theory is generalized to the non-abelian case of dimension 2 including a description of a non-abelian class number formula relating the order of the adjoint p-Selmer group to the adjoint p-adic L-function;cyclicity over the Hecke algebra of the adjoint Selmer group of the two-dimensional Artin representations and their deformations is shown;a proved conjecture of Greenberg on p-local indecomposability of modular p-adic Galois representation in many cases unconditionally;analytic details on the non-abelian class number formula.Many open problems are presented to stimulate young researchers pursuing their field of study.
How Genes Influence Behavior 2e takes a personal and lively approach to the study of behavioral genetics, providing an up-to-date and accessible introduction to a variety of approaches and their application to a wide range of disorders, and modeling a critical approach to both methods and results.
Using illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, it takes a modular approach that enables readers to quickly identify and implement the necessary task without having to access background information first.
Provides a comprehensive and up-to-date review of transduction in various sensory modalities.
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