About Us

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

More about us

Keep Connect with Us

  • =

Login to Your Account

Tensor Trigonometry by A.S. Ninul




Tensor Trigonometry - Table of Contents

Part-I Theory of Exact Matrices: Some of General Questions
  • 1. Coefficients of Characteristic Polynomials
  • 2. Affine (oblique) and Orthogonal Eigenprojectors
  • 3. Main Scalar Invariants of Singular Matrices
  • 4. Two Alternative Complexification Variants
Part-II Tensor Trigonometry: Fundamental Contents
  • 5. Euclidean and Quasi-Euclidean Tensor Trigonometry
  • 6. Pseudo-Euclidean Tensor and Scalar Trigonometry
  • 7. Matrices Commutativity and Anticommutativity
  • 8. Trigonometric Spectra and Trigonometric Inequalities
  • 9. Geometric Norms of Matrix Objects
  • 10. Complexification of Tensor Trigonometry
  • 11. Tensor Trigonometry of General Pseudo-Euclidean Spaces
  • 12. Tensor Trigonometry of Minkowski Pseudo-Euclidean Space

What You Will Learn in Tensor Trigonometry

Tensor Trigonometry by A. Ninul is a unique mathematical exposition linking classical trigonometric relationships with modern multilinear algebra and tensor formalisms. Designed for advanced mathematics and theoretical physics researchers, this volume serves as a primary guide for tensor trigonometry vector calculus problem solving practice.

The monograph systematically explores curvilinear coordinates, metric tensors, generalized angular measures, spherical transformations, and tensor field invariants. By synthesizing geometric intuition with rigorous algebraic notation, Ninul enables readers to carry out essential tensor trigonometry coordinate transformation derivations with precise mathematical accuracy.

Highly valued for its innovative framework in geometric analysis, this reference provides essential mathematical machinery for continuous mechanics and field theory. Ninul’s structural formulation arms scholars with analytical tools necessary for mastering modern tensor trigonometry principles across theoretical disciplines.

Book Details & Specifications

Title: Tensor Trigonometry by A.S. Ninul
Publisher: FIZMATLIT
Year: 2021
Pages: 321
Type: PDF
Language: English
ISBN-10 #: 5940522785
ISBN-13 #: 978-5940522782
License: External Educational Resource
Amazon: Amazon

About the Author: Anatoly Sergeevich Ninul

The author Anatoly Sergeevich Ninul is a dedicated researcher in geometric analysis and theoretical mechanics, recognized for expanding classical trigonometric formulations into multidimensional tensor spaces.

Throughout his academic career, Ninul has focused on formalizing vector-tensor generalizations to assist physicists and mathematicians with advanced tensor trigonometry research guides.


Free Trigonometry Books PDF - Download Textbook Library

Trigonometry Basic to Advanced PDF | WikiBooks Free
Access the free trigonometry basic to advanced pdf online. Find verified university links for a safe open trig basic advanced wikibooks download path.
Elements of Plane Trigonometry - Hugh Blackburn (PDF)
Learn angles, triangles, and identities with Hugh Blackburn’s Elements of Plane Trigonometry. A solid start for beginners in mathematics.
Trigonometry by Don Crossfield (PDF)
Learn the fundamentals of trigonometry with Don Crossfield and coauthors, covering angles, ratios, and real-world applications clearly and simply.
Plane and Spherical Trigonometry - Henry Goodwin | Free PDF
Download Elements of Plane and Spherical Trigonometry by Henry Goodwin. Master trigonometric ratios spherical triangles astronomical applications.
Tensor Trigonometry - A Ninul | Free PDF Download
Download Tensor Trigonometry by A. Ninul explains advanced trigonometry through tensor methods, extending concepts to multidimensional spaces.

Mathematics Book Categories

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
Linear Algebra
Linear Algebra (Introduction)
Matrix Algebra
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

.