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  1. Lecture L3 - Vectors, Matrices and Coordinate Transformations. By using vectors and defining appropriate operations between them, physical laws can often be written in a simple form. Since we will making extensive use of vectors in Dynamics, we will summarize some of their important properties.

  2. Vectors and Matrices. This chapter opens up a new part of calculus. It is multidimensional calculus, because the subject moves into more dimensions. In the first ten chapters, all functions depended on time t or position x-but not both. We had f(t) or y(x). The graphs were curves in a plane.

  3. guides, mainly teaching the mechanics of manipulating low-dimensional vectors and matrices, to hugely formalized treaties which barely ever write down a vector or a matrix explicitly. Naturally, a course for beginning physics students should stay away from either extreme.

  4. Matrix notation allows the two equations. 1x + 1y = b1 1x 1y = b2. to be expressed as. 1. y x = b1 b2. or as Az = b, where. = A 1 1. 1. ; z = y x ; and. = b b1 : b2. Here A; z; b are respectively: (i) the coe cient matrix; (ii) the vector of unknowns; (iii) the vector of right-hand sides. Using Matrix Notation, II.

  5. From this small set of rules we can introduce concepts like basis vectors, coordinates and the dimension of the vector space. We’ll meet vector spaces in week 3, after limbering up by

  6. Two vectors are equal if they represent the same displacement (⇔they have the same length, direction, and sense). We can always think (x,y) as a vector of initial point (0,0)

  7. Week 1 – Vectors and Matrices. Richard Earl∗ Mathematical Institute, Oxford, OX1 2LB, October 2003. Abstract. Algebra and geometry of vectors. The algebra of matrices. 2x2 matrices. Inverses. Determinants. Simultaneous linear equations. Standard transformations of the plane.

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