A Primer on Fourier Series

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Bol Written for both beginners and more advanced students, this textbook is an accessible and visually intuitive introduction to Fourier series, which is one of the most powerful mathematical tools used to understand patterns, signals, and data. This textbook provides an accessible and visually intuitive introduction to Fourier series, which is one of the most powerful mathematical tools used to understand patterns, signals, and data. Equally well suited as a classroom textbook or a self-study resource, it is designed to be accessible to students encountering the subject for the first time, while also offering the rigor and breadth needed to support their scientific development in later years. The text balances depth, clarity, and readability, integrating strong visual intuition with fully rigorous theoretical development. Concepts are introduced in a way that highlights the geometric and intuitive structures underlying Fourier analysis, while maintaining the mathematical precision expected at higher levels of study. The exposition is carefully structured to guide readers from basic principles to more advanced results without sacrificing accessibility or conceptual insight. The book is also particularly distinctive in its coherent and unified presentation of both theory and real-world applications, weaving significant applications from engineering, physics, data analysis, and differential equations seamlessly into the theoretical narrative. The result is a text that not only teaches Fourier analysis in a rigorous and accessible way but also demonstrates its power and versatility across a wide range of scientific and technological fields.

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Bol

Written for both beginners and more advanced students, this textbook is an accessible and visually intuitive introduction to Fourier series, which is one of the most powerful mathematical tools used to understand patterns, signals, and data. This textbook provides an accessible and visually intuitive introduction to Fourier series, which is one of the most powerful mathematical tools used to understand patterns, signals, and data. Equally well suited as a classroom textbook or a self-study resource, it is designed to be accessible to students encountering the subject for the first time, while also offering the rigor and breadth needed to support their scientific development in later years. The text balances depth, clarity, and readability, integrating strong visual intuition with fully rigorous theoretical development. Concepts are introduced in a way that highlights the geometric and intuitive structures underlying Fourier analysis, while maintaining the mathematical precision expected at higher levels of study. The exposition is carefully structured to guide readers from basic principles to more advanced results without sacrificing accessibility or conceptual insight. The book is also particularly distinctive in its coherent and unified presentation of both theory and real-world applications, weaving significant applications from engineering, physics, data analysis, and differential equations seamlessly into the theoretical narrative. The result is a text that not only teaches Fourier analysis in a rigorous and accessible way but also demonstrates its power and versatility across a wide range of scientific and technological fields.

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Pagina's: 432, Paperback, Oxford University Press


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Merk Oxford University Press, USA
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  • 9780197917046
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