Functions of several variables. Function, Domain and Range.

Slides:



Advertisements
Similar presentations
Vectors Maggie Ambrose Maddy Farber. Hook… Component Form of a Vector  If v is a vector in a plane whose initial point is the origin and whose terminal.
Advertisements

Geometry of R2 and R3 Dot and Cross Products.
8.2 Kernel And Range.
Euclidean m-Space & Linear Equations Euclidean m-space.
Copyright © Cengage Learning. All rights reserved. 13 Vector Functions.
12 VECTORS AND THE GEOMETRY OF SPACE.
Vector Products (Dot Product). Vector Algebra The Three Products.
Fundamentals of Applied Electromagnetics
CSCE 590E Spring 2007 Basic Math By Jijun Tang. Applied Trigonometry Trigonometric functions  Defined using right triangle  x y h.
CS 376b Introduction to Computer Vision 03 / 04 / 2008 Instructor: Michael Eckmann.
CS 376b Introduction to Computer Vision 03 / 04 / 2008 Instructor: Michael Eckmann.
Example: Determine the angle between the vectors A and B.
Cross Product Ali Tamaki Ben Waters Linear Systems Spring 2006.
Assigned work: pg.407 #1-13 Recall dot product produces a scalar from two vectors. Today we examine a Cross Product (or Vector Product) which produces.
CHS Physics Multiplying Vectors. Three Possibilities 1. Multiplying a Vector by a Scalar 2. Multiplying Vector by a Vector 1. Scalar Product 2. Vector.
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.
1 Physics 111/121 Mini-Review Notes on Vectors. 2 Right hand rule: - curl fingers from x to y - thumb points along +z.
Section 13.4 The Cross Product.
Section 9.4: The Cross Product Practice HW from Stewart Textbook (not to hand in) p. 664 # 1, 7-17.
Vectors in 2-Space and 3-Space II
Vectors. Definitions Scalar – magnitude only Vector – magnitude and direction I am traveling at 65 mph – speed is a scalar. It has magnitude but no direction.
1 Chapter 2 Vector Calculus 1.Elementary 2.Vector Product 3.Differentiation of Vectors 4.Integration of Vectors 5.Del Operator or Nabla (Symbol  ) 6.Polar.
Vectors. Vectors and Direction Vectors are quantities that have a size and a direction. Vectors are quantities that have a size and a direction. A quantity.
EE 543 Theory and Principles of Remote Sensing
VECTOR CALCULUS. Vector Multiplication b sin   A = a  b Area of the parallelogram formed by a and b.
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.
Properties of Vector Operations: u, v, w are vectors. a, b are scalars. 0 is the zero vector. 0 is a scalar zero. 1. u + v = v + u 2. (u + v) + w = u +
Vector Functions 10. Derivatives and Integrals of Vector Functions 10.2.
Vectors CHAPTER 7. Ch7_2 Contents  7.1 Vectors in 2-Space 7.1 Vectors in 2-Space  7.2 Vectors in 3-Space 7.2 Vectors in 3-Space  7.3 Dot Product 7.3.
Copyright © Cengage Learning. All rights reserved. Vectors in Two and Three Dimensions.
Sec 15.6 Directional Derivatives and the Gradient Vector
Chapter 10 Real Inner Products and Least-Square
Copyright © Cengage Learning. All rights reserved. 12 Vectors and the Geometry of Space.
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.
Copyright © Cengage Learning. All rights reserved.
1. Determine vectors and scalars from these following quantities: weight, specific heat, density, volume, speed, calories, momentum, energy, distance.
Sec 13.3The Dot Product Definition: The dot product is sometimes called the scalar product or the inner product of two vectors.
Calculus III Chapter 12 Br. Joel Baumeyer Christian Brothers University.
Copyright © Cengage Learning. All rights reserved. Vectors in Two and Three Dimensions.
6.4 Vectors and Dot Products. Dot Product is a third vector operation. This vector operation yields a scalar (a single number) not another vector. The.
Lesson 6.4 – Dot Products The dot product of two vectors is given by
Section 15.6 Directional Derivatives and the Gradient Vector.
Vectors and the Geometry
VECTORS AND THE GEOMETRY OF SPACE. The Cross Product In this section, we will learn about: Cross products of vectors and their applications. VECTORS AND.
Lesson 87: The Cross Product of Vectors IBHL - SANTOWSKI.
STROUD Worked examples and exercises are in the text Programme 6: Vectors VECTORS PROGRAMME 6.
Section 3.3 Dot Product; Projections. THE DOT PRODUCT If u and v are vectors in 2- or 3-space and θ is the angle between u and v, then the dot product.
8.5 The Dot Product Precalculus. Definition of the Dot Product If u= and v= are vectors, then their dot product (u v) is defined by: u v = a 1 a 2 + b.
Chapter 4 Vector Spaces Linear Algebra. Ch04_2 Definition 1: ……………………………………………………………………. The elements in R n called …………. 4.1 The vector Space R n Addition.
6.4 Vector and Dot Products. Dot Product  This vector product results in a scalar  Example 1: Find the dot product.
12.3 The Dot Product. The dot product of u and v in the plane is The dot product of u and v in space is Two vectors u and v are orthogonal  if they meet.
(a) Define vector product (b) Understand the properties of vector product (c)Find the area of parallelogram.
6.4 Vectors and Dot Products Objectives: Students will find the dot product of two vectors and use properties of the dot product. Students will find angles.
11.6 Dot Product and Angle between Vectors Do Now Find the unit vector of 3i + 4j.
CALCULUS III CHAPTER 5: Orthogonal curvilinear coordinates
Dot Product and Cross Product. Dot Product  Definition:  If a = and b =, then the dot product of a and b is number a · b given by a · b = a 1 b 1 +
CHAPTER 3 VECTORS NHAA/IMK/UNIMAP.
Contents 7.1 Vectors in 2-Space 7.2 Vectors in 3-Space 7.3 Dot Product
(MTH 250) Calculus Lecture 22.
Lecture 03: Linear Algebra
Cross Products Lecture 19 Fri, Oct 21, 2005.
Copyright © 2017, 2013, 2009 Pearson Education, Inc.
Physics 133 Electromagnetism
Vectors and the Geometry
2 Vectors in 2-space and 3-space
Vectors and Dot Products
Phys 13 General Physics 1 Vector Product MARLON FLORES SACEDON.
CHAPTER 3 VECTORS NHAA/IMK/UNIMAP.
Presentation transcript:

Functions of several variables

Function, Domain and Range

Domain

Is a solution of

Vector Calculus DefinitionThe Euclidean norm (or simply norm) of a vector x = is defined as Properties The Scalar Product Definition

Two vectors x and y are called orthogonal or perpendicular if x · y = 0, and we write x  y in this case. Examine whether the vectors x = (2, 1, 1) and y = (1, 1,−3) are orthogonal. We have x · y = 2 · 1+1 · 1+1 · (−3) = 2+1−3 = 0. This implies x  y. Definition Let x, y be vectors with y 6= 0. The projection of x on y, denoted by p y (x), is defined by The length of the projection is given by

Definition Example Find the angle between the vectors x = (2, 3, 2) and y = (1, 2,−1). Cross Product

The magnitude of x × y equals the area of that parallelogram, so Moreover, x × y is orthogonal to both x and y. Right-hand rule: Point the index finger in the direction of x and the middle finger in the direction of y. The thumb then points in the direction of x × y. Example. Calculate x × y where x = (1,−2, 3) and y = (2, 1,−1).

Differential Calculus of Vector Fields Stationary Instationary Let f 1 (t) = 2 cos t, f 2 (t) = 2 sin t, f 3 (t) = t. Write down the associated vector field having f 1, f 2 and f 3 as components.

Definition: Derivative of a vector field

Example Solution (0)

Vector Fields in Several Dimensions Example

Definition (Directional Derivative) Example Solution Theorem