Section 9.2 Vectors in 3-dim space Two approaches to vectors 1.Algebraic 2.Geometric.

Slides:



Advertisements
Similar presentations
6.3 Vectors in the Plane Many quantities in geometry and physics, such as area, time, and temperature, can be represented by a single real number. Other.
Advertisements

Demetriou/Loizidou – ACSC330 – Chapter 4 Geometric Objects and Transformations Dr. Giorgos A. Demetriou Dr. Stephania Loizidou Himona Computer Science.
Vector Spaces & Subspaces Kristi Schmit. Definitions A subset W of vector space V is called a subspace of V iff a.The zero vector of V is in W. b.W is.
Vector Spaces (10/27/04) The spaces R n which we have been studying are examples of mathematical objects which have addition and scalar multiplication.
Vectors and Vector Equations (9/14/05) A vector (for us, for now) is a list of real numbers, usually written vertically as a column. Geometrically, it’s.
The Vector or Cross Product Lecture V1.3 Example 5 Moodle.
Vector Products (Cross Product). Torque F r T F r T F1F1 F2F2.
Analytic Geometry in Three Dimensions
Lecture 1eee3401 Chapter 2. Vector Analysis 2-2, 2-3, Vector Algebra (pp ) Scalar: has only magnitude (time, mass, distance) A,B Vector: has both.
Vectors Sections 6.6. Objectives Rewrite a vector in rectangular coordinates (in terms of i and j) given the initial and terminal points of the vector.
Section 9.2 Vectors Goals Goals Introduce vectors. Introduce vectors. Begin to discuss operations with vectors and vector components. Begin to discuss.
UNIT 1 VECTORS. SECTION 1.1 VECTOR CONCEPTS A vector is a mathematical object with both MAGNITUDE (size) and DIRECTION.
11 Analytic Geometry in Three Dimensions
Lecture 7: Taylor Series Validity, Power Series, Vectors, Dot Products, and Cross Product.
Vectors and the Geometry of Space
6.4 Vectors and Dot Products The Definition of the Dot Product of Two Vectors The dot product of u = and v = is Ex.’s Find each dot product.
Little Linear Algebra Contents: Linear vector spaces Matrices Special Matrices Matrix & vector Norms.
Geometry CSC 2141 Introduction to Computer Graphics.
Section 13.4 The Cross Product. Torque Torque is a measure of how much a force acting on an object causes that object to rotate –The object rotates around.
MAT 3730 Complex Variables Section 1.1 The Algebra of Complex Numbers
Section 5.1 Real Vector Spaces. DEFINITION OF A VECTOR SPACE Let V be any non-empty set of objects on which two operations are defined: addition and multiplication.
Section 9.2: Vectors Practice HW from Stewart Textbook (not to hand in) p. 649 # 7-20.
Section 10.2a VECTORS IN THE PLANE. Vectors in the Plane Some quantities only have magnitude, and are called scalars … Examples? Some quantities have.
Vectors Day 2. Scalar Multiplication A vector can be multiplied by a real number Multiplying a vector by a positive number changes its size, but not its.
Vector Products (Cross Product). Torque F r T.
VECTORS (Ch. 12) Vectors in the plane Definition: A vector v in the Cartesian plane is an ordered pair of real numbers:  a,b . We write v =  a,b  and.
Section 11.4 The Cross Product Calculus III September 22, 2009 Berkley High School.
Meeting 23 Vectors. Vectors in 2-Space, 3-Space, and n- Space We will denote vectors in boldface type such as a, b, v, w, and x, and we will denote scalars.
Dot Product and Orthogonal. Dot product…? Does anyone here know the definition of work? Is it the same as me saying I am standing here working hard? To.
Copyright © Cengage Learning. All rights reserved. 11 Analytic Geometry in Three Dimensions.
Section 11.2 Space Coordinates and Vectors in Space.
MAT 4725 Numerical Analysis Section 7.1 Part I Norms of Vectors and Matrices
4 4.1 © 2016 Pearson Education, Ltd. Vector Spaces VECTOR SPACES AND SUBSPACES.
Linear Algebra Chapter 4 n Linear Algebra with Applications –-Gareth Williams n Br. Joel Baumeyer, F.S.C.
Chapter 4 Vector Spaces Linear Algebra. Ch04_2 Definition 1: ……………………………………………………………………. The elements in R n called …………. 4.1 The vector Space R n Addition.
MAT 2401 Linear Algebra 4.2 Vector Spaces
Chapter 4 Vector Spaces Linear Algebra. Ch04_2 Definition 1. Let be a sequence of n real numbers. The set of all such sequences is called n-space (or.
13.3 Product of a Scalar and a Matrix.  In matrix algebra, a real number is often called a.  To multiply a matrix by a scalar, you multiply each entry.
Dot Product of Vectors.
Vector projections (resolutes)
Elementary Linear Algebra
Spectral resolution of the retarded potentials
Vectors.
Section 1.2 Vectors in 3-dim space
VECTOR SPACES AND SUBSPACES
Law of sines Law of cosines Page 326, Textbook section 6.1
VECTORS.
By the end of Week 2: You would learn how to plot equations in 2 variables in 3-space and how to describe and manipulate with vectors. These are just.
Section 4.1: Vector Spaces and Subspaces
Section 4.1: Vector Spaces and Subspaces
Vectors, Linear Combinations and Linear Independence
11 Vectors and the Geometry of Space
VECTOR SPACES AND SUBSPACES
Unit 2: Algebraic Vectors
Vector Products (Cross Product)
Mathematics.
Linear Algebra Chapter 4 Vector Spaces.
1.3 Vector Equations.
Fundamental Theorem of Algebra
FUNDAMENTAL ALGEBRA Week 1.
Ch. 15- Vectors in 2-D.
2 Vectors in 2-space and 3-space
Elementary Linear Algebra
Linear Algebra Lecture 32.
Linear Algebra Lecture 20.
Vectors and Dot Products
6.3 Vectors in the Plane Ref. p. 424.
Dots and Cross Products of Vectors in Space
Vectors in Three-Dimensional Space
VECTOR SPACES AND SUBSPACES
Presentation transcript:

Section 9.2 Vectors in 3-dim space Two approaches to vectors 1.Algebraic 2.Geometric

DEFINITION: A vector in 3-space is an ordered triple of real numbers. The real numbers are the components of the vector. Example: A =

DEFINITION: The vector space R^3 is the collection of all order triples A = where a, b and c are arbitrary real numbers. The vectors obey two operations, called addition (+) and scalar multiplication (.), which we now define.

More definitions

A fundamental construction*