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This book aims to provide a clear learning framework for constructing mathematical models of biological phenomena and studying these phenomena through the principles of dynamical systems. The science of biological phenomena, which emerged as a major area of interest in the 20th century, continues to be highly relevant today. As mathematics forms the foundation of basic research that underpins advances in science and technology, the concepts and methods presented in this book equip readers with essential analytical tools. Beyond rhythmic biological processes, these dynamical systems approaches can be applied broadly to a wide range of dynamic phenomena across diverse fields.This theme of Mathematics for Understanding Phenomena deals with interdisciplinary topics, and the research involves collaboration from diverse fields. In the future, mathematical research on biological phenomena will become increasingly prominent. By constructing mathematical models that describe phenomena, analyzing their characteristics and outputs, these studies can clearly demonstrate the conditions under which phenomena occur, predict phenomena that have not yet been discovered, and present new concepts and unified views that are difficult to uncover through experimental research alone.It is hoped that readers who find the power of mathematics from this book may even gain a little inspiration and courage to conduct mathematical research without being confined to specific fields or subjects.
This book aims to provide a clear learning framework for constructing mathematical models of biological phenomena and studying these phenomena through the principles of dynamical systems. The science of biological phenomena, which emerged as a major area of interest in the 20th century, continues to be highly relevant today. As mathematics forms the foundation of basic research that underpins advances in science and technology, the concepts and methods presented in this book equip readers with essential analytical tools. Beyond rhythmic biological processes, these dynamical systems approaches can be applied broadly to a wide range of dynamic phenomena across diverse fields.This theme of Mathematics for Understanding Phenomena deals with interdisciplinary topics, and the research involves collaboration from diverse fields. In the future, mathematical research on biological phenomena will become increasingly prominent. By constructing mathematical models that describe phenomena, analyzing their characteristics and outputs, these studies can clearly demonstrate the conditions under which phenomena occur, predict phenomena that have not yet been discovered, and present new concepts and unified views that are difficult to uncover through experimental research alone.It is hoped that readers who find the power of mathematics from this book may even gain a little inspiration and courage to conduct mathematical research without being confined to specific fields or subjects.
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