Vector Space Approach to Geometry

Hausner, Melvin

ISBN 10: 0486404528 / ISBN 13: 9780486404523

Editore: Dover Publications, New York, NY, 1998

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397 pp. Tightly bound. Spine not compromised Text is free of markings. No ownership markings.

Codice articolo 027943

Dati bibliografici

• Titolo: Vector Space Approach to Geometry
• Editore: Dover Publications, New York, NY
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 0486404528
• ISBN 13: 9780486404523
• Rilegatura: Paperback
• Condizione: Very Good
• Cataloghi dei venditori:
  • Dover

Descrizione articolo

Riassunto

The effects of geometry and linear algebra on each other receive close attention in this examination of geometry’s correlation with other branches of math and science. In-depth discussions include a review of systematic geometric motivations in vector space theory and matrix theory; the use of the center of mass in geometry, with an introduction to barycentric coordinates; axiomatic development of determinants in a chapter dealing with area and volume; and a careful consideration of the particle problem. 1965 edition.

Contenuti

1. The Center of Mass 1.1 Introduction 1.2 Some Physical Assumptions and Conventions 1.3 Physical Motivations in Geometry 1.4 Further Physical Motivations 1.5 An Axiomatic characterization of Center of Mass 1.6 An Algebraic Attack on Geometry 1.7 Painting a Triangle 1.8 Barycentric Coordinates 1.9 Some Algebraic Anticipation 1.10 Affine Geometry 2. Vector Algebra 2.1 Introduction 2.2 The Definition of Vector 2.3 Vector Addition 2.4 Scalar Multiplication 2.5 Physical and Other Applications 2.6 Geometric Applications 2.7 A Vector Approach to the Center of Mass 3. Vector Spaces and Subspaces 3.1 Introduction 3.2 Vector Spaces 3.3 Independence and Dimension 3.4 Some Examples of Vector Spaces: Coordinate Geometry 3.5 Further Examples 3.6 Affine Subspaces 3.7 Some Separation Theorems 3.8 Some Collinearity and Concurrence Theorems 3.9 The Invariance of Dimension 4. Length and Angle 4.1 Introduction 4.2 Geometric Definition of the Inner Product 4.3 Proofs Involving the Inner Product 4.4 The Metrix Axioms 4.5 Some Analytic Geometry 4.6 Orthogonal Subspaces 4.7 Skew Coordinates 5. Miscellaneous Applications 5.1 Introduction 5.2 The Method of Orthogonal Projections 5.3 Linear Equations: Three Views 5.4 A Useful Formula 5.5 Motion 5.6 A Minimum Principle 5.7 Function Spaces 6. Area and Volume 6.1 Introduction 6.2 Area in the Plane: An Axiom System 6.3 Area in the Plane: A Vector Formulation 6.4 Area of Polygons 6.5 Further Examples 6.6 Volumes in 3-Space 6.7 Area Equals Base Times Height 6.8 The Vector Product 6.9 Vector Areas 7. Further Generalizations 7.1 Introduction 7.2 Determinants 7.3 Some Theorems on Determinants 7.4 Even and Odd Permutations 7.5 Outer Products in n-Space 7.6 Some Topology 7.7 Areas of Curved Figures 8. Matrices and Linear Transformations 8.1 Introduction 8.2 Some Examples 8.3 Affine and Linear Transformations 8.4 The Matrix of a Linear Transformation 8.5 The Matrix of an Affine Transformation 8.6 Translations and Dilatations 8.7 The Reduction of an Affine Transformation to a Linear One 8.8 A Fixed Point Theorem with Probabilistic Implications 9. Area and Metric Considerations 9.1 Introduction 9.2 Determinants 9.3 Applications to Analytic Geometry 9.4 Orthogonal and Euclidean Transformations 9.5 Classification of Motions of the Plane 9.6 Classification of Motions of 3-Space 10. The Algebra of Matrices 10.1 Introduction 10.2 Multiplication of Matrices 10.3 Inverses 10.4 The Algebra of Matrices 10.5 Eigenvalues and Eigenvectors 10.6 Some Applications 10.7 Projections and Reflections 11. Groups 11.1 Introduction 11.2 Definitions and Examples 11.3 The "Erlangen Program" 11.4 Symmetry 11.5 Physical Applications of Symmetry 11.6 Abstract Groups Index