• 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
Document
Document

Formulas
Formulas

Midterm Exam No. 03 (Spring 2015) PHYS 520B: Electromagnetic Theory
Midterm Exam No. 03 (Spring 2015) PHYS 520B: Electromagnetic Theory

Vectors Problem Set 1
Vectors Problem Set 1

Linear Algebra and Matrices
Linear Algebra and Matrices

Linear Algebra and Matrices
Linear Algebra and Matrices

... combination). In other words, because each column of the matrix can be represented by a vector, the ensemble of n vector-column defines a vectorial space for a matrix. Rank of a matrix: corresponds to the number of vectors that are linearly independents from each other. So, if there is a linear rela ...
The Inverse of a matrix
The Inverse of a matrix

53 - Angelfire
53 - Angelfire

Cross Products
Cross Products

Generalized Linear Acceleration and Linear Velocity for a Particle of
Generalized Linear Acceleration and Linear Velocity for a Particle of

... It therefore follows that the tensorial Riemann’s Geodesic equation of motion given in equation (1) can be written equivalently as a vector equation given by Mo ...
LINEAR ALGEBRA. Part 0 Definitions. Let F stands for R, or C, or
LINEAR ALGEBRA. Part 0 Definitions. Let F stands for R, or C, or

Slides for Rosen, 5th edition
Slides for Rosen, 5th edition

... • A matrix is a rectangular array of numbers. • An mn (“m by n”) matrix has exactly m horizontal rows, and n vertical columns. • An nn matrix is called a square matrix, whose order is n. ...
Sections 1.8 and 1.9: Linear Transformations Definitions: 1
Sections 1.8 and 1.9: Linear Transformations Definitions: 1

Dyadic Tensor Notation
Dyadic Tensor Notation

Orbital measures and spline functions Jacques Faraut
Orbital measures and spline functions Jacques Faraut

... If the matrix X is distributed uniformly on a U (n)-orbit, then the joint distribution of the eigenvalues µ1 , . . . , µn−1 is described by a formula due to Baryshnikov. More generally the eigenvalues of the projection of X on the k × k upper left corner (1 ≤ k ≤ n − 1) is distributed according to a ...
Linearly Independent Sets and Linearly
Linearly Independent Sets and Linearly

Chapter5
Chapter5

maths practice paper for class xii
maths practice paper for class xii

EM Scattering Homework assignment 2
EM Scattering Homework assignment 2

SOMEWHAT STOCHASTIC MATRICES 1. Introduction. The notion
SOMEWHAT STOCHASTIC MATRICES 1. Introduction. The notion

Objective: Students will be able to find the sum and difference of two
Objective: Students will be able to find the sum and difference of two

here
here

Eigenvalues, eigenvectors, and eigenspaces of linear operators
Eigenvalues, eigenvectors, and eigenspaces of linear operators

Review of Matrix Algebra
Review of Matrix Algebra

I What is relativity? How did the concept of space-time arise?
I What is relativity? How did the concept of space-time arise?

< 1 ... 158 159 160 161 162 163 164 165 166 ... 214 >

Four-vector

In the theory of relativity, a four-vector or 4-vector is a vector in Minkowski space, a four-dimensional real vector space. It differs from a Euclidean vector in how its magnitude is determined. The transformations that preserve this magnitude are the Lorentz transformations, which include spatial rotations, boosts (a change by a constant velocity to another inertial reference frame), and temporal and spatial inversions. Regarded as a homogeneous space, the transformation group of Minkowski space is the Poincaré group, which adds to the Lorentz group the group of translations. The Lorentz group may be represented by 4×4 matrices.The article considers four-vectors in the context of special relativity. Although the concept of four-vectors also extends to general relativity, some of the results stated in this article require modification in general relativity.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report