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. A Text-Book for Colleges by Paul Hanus




Theory of Determinants for Colleges - Table of Contents

1. Preliminary Notions and Definitions 2. General Properties of Determinants 3. Applications and Special Forms

What You Will Learn in Theory of Determinants for Colleges

"An Elementary Treatise on the Theory of Determinants: A Text-Book for Colleges" by Paul Hanus is a well-organized mathematics book designed for college students studying higher algebra. The author presents determinants in a logical sequence, starting from basic definitions and gradually building toward deeper theoretical ideas. The writing style is formal yet approachable, focusing on "clear explanations", "systematic learning", and strong conceptual foundations. The book carefully explains the properties and rules of determinants, supported by proofs and worked examples. Hanus places emphasis on understanding why formulas work, not just how to apply them. This makes the text especially useful for students who want a solid grasp of "determinant theory", "algebraic structure", and problem-solving techniques. Its step-by-step progression reflects its purpose as a classroom textbook. Beyond instruction, the book holds historical value as part of early college-level mathematics education. It shows how determinants were taught before modern linear algebra became standardized. Today, it remains helpful for readers interested in "classical mathematics", "college algebra", and the academic development of determinant theory, serving both as a learning resource and a historical reference.

Book Details & Specifications

Title: Theory of Determinants. A Text-Book for Colleges by Paul Hanus
Publisher: Ginn and Company
Year: 1886
Pages: 243
Type: PDF
Language: English
ISBN-10 #: B019ZI3T4Q
ISBN-13 #: N\A
License: Public Domain Work
Amazon: Amazon

About the Author: Paul Henry Hanus

The author Paul Henry Hanus was an American mathematician and educator known for writing clear and well-structured college-level mathematics textbooks. His academic work focused on strong foundations, careful reasoning, and effective teaching methods. He aimed to make complex topics understandable through "logical progression", "clear definitions", and "academic rigor". His writing supports "college mathematics", "determinant theory", and "classical algebra", making his work valuable for both historical study and foundational learning.

Free Matrix Algebra Books PDF | Download Matrix Theory Notes

Matrix Algebra & Python Applications - Dirk Colbry PDF
Learn matrix algebra with computational applications and practical problem solving for science and engineering.
Contributions To History Of Determinants - Thomas Muir | PDF
Contributions to the History of Determinants 1900–1920 by Thomas Muir traces key developments and research in determinant theory.
An Introduction to Determinants - William Thomson (PDF)
The book is intended for use in schools and colleges as an introduction to the concept of determinants. It provides numerous examples and exercises.
An Elementary Treatise on Determinants - Lewis Carroll | PDF
An Elementary Treatise on Determinants by Lewis Carroll introduces determinant theory with clear explanations, logical steps, and elementary algebra.
Matrices and Determinoids 1 - Cuthbert Cullis | PDF
Learn classical matrix theory in Matrices and Determinoids, Volume 1 by C. E. Cullis, focused on structure and algebra.

Mathematics Book Categories

Algebra & Trig. / Precalculus
Basic 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
Introductory Statistics
Probability & Stochastic
Mathematical Statistics
Statistical Learning
Bayesian Statistics
Applied Statistics
Mathematical Analysis
Real Analysis
Complex Analysis
Fourier Analysis
Functional Analysis
Abstract Algebra
Number Theory
Applied Mathematics
Mathematical Methods
Differential Equations
Computational Mathematics
Numerical Analysis
Mathematical Modeling
Mathematical Physics
Engineering Mathematics
History of Mathematics

.