A Vector Space Approach to Geometry (Dover Books on Mathematics)
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Book Details
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Author: Melvin Hausner
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Publisher: Dover
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Language: English
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Edition: Reprint
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ISBN: 9780486829128
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Pages: 416
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Cover: Paperback
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Dimensions:
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8.5 x 5.5 x 1.0 inches
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About The Book
Geometry and Linear Algebra by Melvin Hausner offers a unique exploration of the relationship between two core fields of mathematics: geometry and linear algebra. Hausner challenges the traditional view of geometry as an independent subject by emphasizing its deep connection with linear algebra, providing readers with a fresh perspective on both disciplines.
Key features of the book include:
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Geometric Motivations: The text showcases how geometry can be better understood through the use of linear algebra, revealing the underlying geometric motivations in vector space theory and matrix theory.
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Interdisciplinary Insights: Hausner’s exploration goes beyond mathematics, discussing the role of geometry in fields like physics, analysis, and group theory, as well as its applications in understanding probability, determinant theory, and function spaces.
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Key Mathematical Concepts: The book offers accessible explanations of complex topics like barycentric coordinates, determinants, and the particle problem, making them approachable for students and math enthusiasts.
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Systematic Approach: The treatment is both systematic and clear, providing step-by-step explanations, allowing readers to grasp geometric concepts and their importance in various branches of mathematics.
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Axiomatic Development: In-depth discussions of axiomatic developments, such as the introduction of determinants in the context of area and volume, make the book a valuable resource for students in both mathematics and science.
This book is ideal for students, educators, and mathematically inclined readers looking to gain a deeper understanding of the interplay between geometry and linear algebra. Its clear explanations and practical approach will inspire readers to appreciate the beauty and utility of these interconnected fields.