• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Lattices in Lie groups
Lattices in Lie groups

KENDRIYA VIDYALAYA SANGATHAN RAIPUR REGION STUDY
KENDRIYA VIDYALAYA SANGATHAN RAIPUR REGION STUDY

Lie Groups and Lie Algebras
Lie Groups and Lie Algebras

... In this coordinate chart, the x–axis in R2 is identified with the point p = ∞ in RP1 , and the linear fractional transformations (2.4) have a well-defined extension to include the point at infinity. Alternatively, we can regard (2.4) as defining a local action of GL(2, R) on the real line R, defined ...
Math 257A: Introduction to Symplectic Topology, Lecture 2
Math 257A: Introduction to Symplectic Topology, Lecture 2

chapter7_Sec3
chapter7_Sec3

Geometry classwork1 September 16
Geometry classwork1 September 16

2. Systems of Linear Equations, Matrices
2. Systems of Linear Equations, Matrices

Tannaka Duality for Geometric Stacks
Tannaka Duality for Geometric Stacks

4-2
4-2

1 Matrix Lie Groups
1 Matrix Lie Groups

Applied Science 174: Linear Algebra Lecture Notes
Applied Science 174: Linear Algebra Lecture Notes

Chapter 4 Basics of Classical Lie Groups: The Exponential Map, Lie
Chapter 4 Basics of Classical Lie Groups: The Exponential Map, Lie

Lectures on Modules over Principal Ideal Domains
Lectures on Modules over Principal Ideal Domains

Chapter 2: Matrices
Chapter 2: Matrices

Digital Image Processing Lecture - 8 Camera Calibration and Stereo
Digital Image Processing Lecture - 8 Camera Calibration and Stereo

Section 1.6: Invertible Matrices One can show (exercise) that the
Section 1.6: Invertible Matrices One can show (exercise) that the

Computational Geometry Computational Geometry Line Segments
Computational Geometry Computational Geometry Line Segments

Math 215 HW #9 Solutions
Math 215 HW #9 Solutions

topological invariants of knots and links
topological invariants of knots and links

THE DIFFERENT IDEAL 1. Introduction O
THE DIFFERENT IDEAL 1. Introduction O

Here is a pdf version of this page
Here is a pdf version of this page

Math 8211 Homework 2 PJW
Math 8211 Homework 2 PJW

2 Matrices
2 Matrices

On zero product determined algebras
On zero product determined algebras

Explicit product ensembles for separable quantum states
Explicit product ensembles for separable quantum states

< 1 2 3 4 5 6 7 8 ... 46 >

Cartesian tensor



In geometry and linear algebra, a Cartesian tensor uses an orthonormal basis to represent a tensor in a Euclidean space in the form of components. Converting a tensor's components from one such basis to another is through an orthogonal transformation.The most familiar coordinate systems are the two-dimensional and three-dimensional Cartesian coordinate systems. Cartesian tensors may be used with any Euclidean space, or more technically, any finite-dimensional vector space over the field of real numbers that has an inner product.Use of Cartesian tensors occurs in physics and engineering, such as with the Cauchy stress tensor and the moment of inertia tensor in rigid body dynamics. Sometimes general curvilinear coordinates are convenient, as in high-deformation continuum mechanics, or even necessary, as in general relativity. While orthonormal bases may be found for some such coordinate systems (e.g. tangent to spherical coordinates), Cartesian tensors may provide considerable simplification for applications in which rotations of rectilinear coordinate axes suffice. The transformation is a passive transformation, since the coordinates are changed and not the physical system.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report