• 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
Useful techniques with vector spaces.
Useful techniques with vector spaces.

PHYS 101 Lecture 2 - Simon Fraser University
PHYS 101 Lecture 2 - Simon Fraser University

... © 2001 by David Boal, Simon Fraser University. All rights reserved; further copying or resale is strictly prohibited. ...
Linear Algebra - Taleem-E
Linear Algebra - Taleem-E

Norm and inner products in Rn Math 130 Linear Algebra
Norm and inner products in Rn Math 130 Linear Algebra

Slide 1 Orthogonal vectors, spaces and bases • Review: Inner
Slide 1 Orthogonal vectors, spaces and bases • Review: Inner

Document
Document

4.3.1) Yes, it is a subspace. It is clearly a subset of R2
4.3.1) Yes, it is a subspace. It is clearly a subset of R2

... If (c1 − c3 ), (c3 − c2 ), and c2 are all zero, then c2 = 0, from which c3 = 0, and so c1 = 0. Since c1 , c2 , and c3 are not all zero, (c1 − c3 ), (c3 − c2 ), and c2 are not all zero, and so we have a nontrivial linear combination of w1 , w2 , and w3 which gives 0. Therefore, T is linearly dependen ...
4.2
4.2

2005-q-0024a-review
2005-q-0024a-review

Rotations - FSU Math
Rotations - FSU Math

Properties of lengths and dis- tances Orthogonal complements
Properties of lengths and dis- tances Orthogonal complements

Dot Product, Cross Product, Determinants
Dot Product, Cross Product, Determinants

... A2 = (a2 b3 − a3 b2 )2 + (a3 b1 − a1 b3 )2 + (a1 b2 − a2 b1 )2 . Hence A = k~xk with the vector ~x defined by ~x := (a2 b3 − a3 b2 , a3 b1 − a1 b3 , a1 b2 − a2 b1 ). Note that x j = ak b` − a` bk where 1. j, k, ` are different 2. k, ` are in “positive order” if we arrange 1,2,3 on a circle. This vec ...
5. n-dimensional space Definition 5.1. A vector in R n is an n
5. n-dimensional space Definition 5.1. A vector in R n is an n

Handout #5 AN INTRODUCTION TO VECTORS Prof. Moseley
Handout #5 AN INTRODUCTION TO VECTORS Prof. Moseley

... segments equivalent to a given vector in G forms an equivalence class. Two directed line segments are related if they are in the same equivalence classes. This relation is called an equivalence relation since all directed line segments that are related can be tho ught of as being the sam e. Th e equ ...
Vector Space Vectors in
Vector Space Vectors in

A T y
A T y

ppt - SBEL
ppt - SBEL

Geometric Vectors - SBEL - University of Wisconsin–Madison
Geometric Vectors - SBEL - University of Wisconsin–Madison

Vectors and Matrices – Lecture 2
Vectors and Matrices – Lecture 2

... The scalar product gives a way to multiply two vectors and get a scalar. In three dimensions, there is another way to multiply two vectors which gives a vector. The vector product (or cross product) of a and b is written a × b. Provided a 6= 0 and b 6= 0 it has the following properties: it is a vect ...
Exercises: Vector Spaces
Exercises: Vector Spaces

Document
Document

No Slide Title
No Slide Title

1 Why is a parabola not a vector space
1 Why is a parabola not a vector space

The Dimension of a Vector Space
The Dimension of a Vector Space

... a 1n c 1  a 2n c 2    a nn c n    a mn c m  0. The above system is a homogeneous linear system with more unknowns (m) than equations (n). Such a system must have non–trivial solutions. Thus, there exist scalars c 1 , c 2 ,  c n ,  , c m , not all zero, that satisfy the above system. These ...
Special Factoring ( )( ) ( ) ( ) ( )( ) ( )( ) Converting Between Degree
Special Factoring ( )( ) ( ) ( ) ( )( ) ( )( ) Converting Between Degree

... which quadrant this angle should be in and measure the angle counterclockwise from the positive x-axis. The horizontal component of the vector 〈 The vertical component of the vector 〈 ...
< 1 2 3 4 5 6 7 >

Bivector



In mathematics, a bivector or 2-vector is a quantity in exterior algebra or geometric algebra that extends the idea of scalars and vectors. If a scalar is considered an order zero quantity, and a vector is an order one quantity, then a bivector can be thought of as being of order two. Bivectors have applications in many areas of mathematics and physics. They are related to complex numbers in two dimensions and to both pseudovectors and quaternions in three dimensions. They can be used to generate rotations in any dimension, and are a useful tool for classifying such rotations. They also are used in physics, tying together a number of otherwise unrelated quantities.Bivectors are generated by the exterior product on vectors: given two vectors a and b, their exterior product a ∧ b is a bivector, as is the sum of any bivectors. Not all bivectors can be generated as a single exterior product. More precisely, a bivector that can be expressed as an exterior product is called simple; in up to three dimensions all bivectors are simple, but in higher dimensions this is not the case. The exterior product is antisymmetric, so b ∧ a is the negation of the bivector a ∧ b, producing the opposite orientation, and a ∧ a is the zero bivector.Geometrically, a simple bivector can be interpreted as an oriented plane segment, much as vectors can be thought of as directed line segments. The bivector a ∧ b has a magnitude equal to the area of the parallelogram with edges a and b, has the attitude of the plane spanned by a and b, and has orientation being the sense of the rotation that would align a with b.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report