About Us

Math shortcuts, Articles, worksheets, Exam tips, Question, Answers, FSc, BSc, MSc

More about us

Keep Connect with Us

  • =

Login to Your Account

Theory of Determinants & Their Applications by Robert Scott




Theory of Determinants & Their Applications - Table of Contents

  • 1. Introduction
  • 2. Definitions and Notation Alternate Numbers
  • 3. General Properties of Determinants
  • 4. On the Minors and on the Expansion of a Determinant
  • 5. Composition of Arrays, Multiplication of Determinants
  • 6. Determinants of Compound Systems
  • 7. Arithmetical Properties of Determinants. Elementary Factors
  • 8. Determinants of Special Forms
  • 9. Cubic Determinants, and Determinants with Multiple Suffixes
  • 10. Determinants of Infinite Order

What You Will Learn in Theory of Determinants & Their Applications

The Theory of Determinants and Their Applications by Robert Forsyth Scott (revised by G. B. Mathews) is a celebrated mathematical classic exploring the fundamental properties and computational methods of determinantal algebra. Serving as an essential reference, this volume provides a robust framework for determinant theory problem solving practice.

The book systematically covers fundamental properties of determinants, expansion theorems, symmetric and skew-symmetric determinants, Jacobi's identity, linear equations, and geometric applications to bilinear and quadratic forms. By combining structural elegance with rigorous proofs, Scott enables readers to execute essential determinant evaluations and matrix transformations with complete logical accuracy.

Widely admired in classical algebra literature for its depth, historic clarity, and comprehensive exercise sets, this treatise remains a vital resource for mathematicians and researchers. Scott’s systematic methodology arms learners with the foundational tools necessary for mastering modern linear algebra principles.

Book Details & Specifications

Title: Theory of Determinants & Their Applications by Robert Scott
Publisher: Cambridge University Press
Year: 1904
Pages: 308
Type: PDF
Language: English
ISBN-10 #: 1020694661
ISBN-13 #: 978-1020694660
License: Public Domain Work
Amazon: Amazon

About the Author: Sir Robert Forsyth Scott

The author Sir Robert Forsyth Scott (1849–1933) was a distinguished British mathematician, barrister, and Master of St John's College, Cambridge, who contributed significantly to classical algebra and determinants.

Co-revised by G. B. Mathews, Professor of Mathematics at University College of North Wales, their collaborative work produced timeless determinant theory and linear algebra study guides.


Free Matrix Algebra Books PDF - Linear & Matrix Methods

From Determinant To Tensor - William Sheppard | PDF
Learn how determinants lead to tensors in this theoretical algebra book by William Fleetwood Sheppard.
History of the Theory of Determinants - Thomas Muir | PDF
Theory of Determinants in the Historical Order of Development by Thomas Muir traces determinant theory from origins to maturity.
A Short Course in Theory of Determinants- Gifford Weld | PDF
A Short Course in the Theory of Determinants by Gifford L. Weld explains determinant concepts clearly for students and learners.
Theory of Determinants & Applications - Robert Scott | PDF
Download The Theory of Determinants and Their Applications by Robert Scott in PDF, covers linear equations symmetric determinants matrices.
Linear Transformations on Vector Spaces - S. Kaschner | PDF
A modern linear algebra textbook by Scott Kaschner and Amber Russell focused on vector spaces and linear transformations for students.

Mathematics Book Categories

Algebra & Precalculus
Basic Algebra
High School Algebra
Higher Algebra
Precalculus
Trigonometry
Algebra & Trigonometry
Calculus
Calculus with Analytical Geometry
Single Variable Calculus
Differential Calculus
Integral Calculus
Multivariable Calculus
Advanced Calculus
Calculus of Variation
Geometry
Elementary Geometry
Analytic Geometry
Differential Geometry
Algebraic Geometry
Non Euclidean Geometry
Computational Geometry
Topology
Discrete Mathematics
Probability & Statistics
Statistical Inference
Probability & Stochastic
Statistical Learning
Bayesian Statistics
Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

.