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Transcript
Goals of Lecture 2 • Introduce Interactive Learning Segments and try a few • The Language of Vectors: – Understand conventions used in denoting vectors. – Visualize vector operations both from the geometric and algebraic point of view. • Dot Products: – Understand geometric and algebraic formulation of the vector dot product. – Understand some properties of the dot product Phy 221 2005S Lecture 2 What is a Vector • A scalar quantity is one that is represented by a single number (e.g. Mass Length time temperature volume…) • A vector is a quantity which has both magnitude and direction (e.g. displacement, velocity, force) • Magnitude: How long is the vector • Direction: angle counterclockwise from x-axis or other sensible description. • Geometrically: we represent a vector as an arrow Phy 221 2005S Lecture 2 Basics • Equal Vectors: vectors are equal if they have the same magnitude and direction regardless of where the vector “starts” A AB B • Opposite Vectors: Vector are opposite if the magnitude is the same but direction is opposite A A B • Unit Vectors: Â is in the direction of Abut of length 1. B Vector Addition A+B=C Geometrically: Parallel transport the tail of B to the head of A. The sum goes from the tail of A to the head of B. Algebraically: Add the components C(3,5) B(-2,4) A (5,1) A 5 B -2 C 3 1 4 5 Vector addition is commutative and associative Phy 221 2005S Lecture 2 interACTive learning segments (ACTs). • Get your clickers ready • I will post a question, you should talk to your neighbor and “vote” on the correct answer with your clicker • You can change your answer if you change your mind. • When you click, a box with your clicker number will appear • At the end of the time, a bar graph will show the summary of results. Phy 221 2005S Lecture 2 ACT: Vector addition • All the vectors below have the same magnitude. Which of the following arrangements will produce the largest resultant when the two vectors are added? 1. 2. Phy 221 2005S Lecture 2 3. The language of vectors • To keep straight which variables are scalar quantities, it is conventional to draw a little arrow over vector variables. A B C • If A is a vector, we use A (without arrow) to denote the magnitude. • Sometimes boldface is used for vector and normal font for magnitude. Thus vector=A; magnitude=A • More formally, we can indicate magnitude of a vector by vertical bars. • Thus A=|A|. Phy 221 2005S Lecture 2 Vector Addition • Geometric: B C A+B=C A • Algebraic: Ax+Bx=Cx Ay+By=Cy Az+Bz=Cz • Subtraction: D B A-B=D Note two ways to think: A -B D is A plus –B D goes from tip of B to tip of A when A and B are rooted at a Phy 221 2005S Lecture 2 common point Components • The components of a vector can be thought of as the projections along the coordinate axes. These are sometimes called the Cartesian coordinates: • We can denote A in terms of its components as: A=(Ax,Ay,Az) y Ay A x ALecture Phy 221 2005S 2 x Unit Vectors • A unit vector is a vector of length 1. To indicate a vector is a unit vector, we put a hat on it: Â denotes a unit vector parallel to A • Some special unit vectors – The unit vector that points along the x axis is denoted ^ i – The unit vector that points along the y axis is denoted j^ – The unit vector that points along the z axis is denoted ^ k y Any vector can be written in terms of these basic unit vectors If A=(Ax,Ay,Az) then ^ j A x y z ^ i x ^k A A iˆ A ˆj A kˆ z Phy 221 2005S Lecture 2 Polar Notation • In 2 dimensions, one can also describe a vector by its magnitude and direction. • The direction is the angle taken counterclockwise from the x axis | A | Ax Ay Ay Ax | A | cos arctan Ay | A | sin Ax Ax How do I remember which is arccos A sin and which is cos? 2 A |A| Phy 221 2005S Lecture 2 2 Dot Products • Dot Products are the workhorse of vector analysis Definition Algebraic Geometric •In terms of components: •If is the angle between A and B: A B Ax Bx Ay By Az Bz A B | A || B | cos Where does this come from? B A Phy 221 2005S Lecture 2 Properties of The Dot Product • The dot product takes two vectors as inputs and produces a scalar as output. • The dot product is commutative: A•B=B•A • Dot product distributes over vector addition: A ( B C ) A B A C • The dot product between a vector, A, and a unit, u, vector gives the projection of A along u. A • In particular, the components of A are the dot products with u i, j and A•u k Ax A i Ay A j Az A kˆ • The length of a vector can be expressed in terms of the dot product: |A|²=A•A Phy 221 2005S Lecture 2 Some Special Cases • Vectors that are going in the same direction A B AB • Vectors that are going in opposite directions A B AB • Perpendicular vectors A B 0 Remember vector #1 Note: Later in the course we will learn about another kind of product called the “cross product” which takes in two vectors and spits out another vector. Do not get them confused. Phy 221 2005S Lecture 2 vector #2 Dot Product Scalar Angle Between Vectors • We can use the geometric definition of the dot product to determine the angle between two vectors: A B A B | A || B | cos cos | A || B | • This tells the angle between A and B but not the direction of the angle B A Phy 221 2005S Lecture 2 Example of Vector Algebra: Law of cosines Consider a triangle, The sum of the vectors representing the sides is 0 C B p A C=-(A+B) C²=(A+B)²=(A+B)·(A+B) =A²+B²+2A·B =A²+B²+2AB cos(p) =A²+B²-2AB cos() Phy 221 2005S Lecture 2 Binomial expansion of dot product: a useful trick-learn it!