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  1. Make it very explicit what coordinate system is used. Understand how to change coordinate systems. Understand how to transform objects. Understand difference between points, vectors, normals and their coordinates.

  2. Coordinate transformation: x = cos sin. sin cos. Take the inverse: y0 x0 = cos sin. sin cos. y0 = r sin. = r sin( + )

  3. 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.

  4. We can also generate the coordinate transformation matrix from Cartesian coordinates . x , y , z to. spherical polar. coordinates r , , . [ is the declination (angle down from the north pole, 0 ) and . is the azimuth (angle around the equator 0 2 ).] [Vertical] Plane containing z-axis and radial vector r : .

  5. Unit 5: Change of Coordinates Lecture 5.1. Given a basis Bin a linear space X, we can write an element v in X in a unique way as a sum of basis elements. For example, if v = 3 4 is a vector in X = R2 and B= fv 1 = 1 1 ;v 2 = 1 6 g, then v = 2v 1 + v 2. We say that 2 B are the B coordinates of v. The standard coordinates are v = 3 4 are assumed ...

  6. Though the matrix M could be used to rotate and scale vectors, it cannot deal with points, and we want to be able to translate points (and objects). In fact an arbitary a ne transformation can be achieved by multiplication by a 3 3 matrix and shift by a vector.

  7. In this chapter, we explore mappings where a mapping is a function that "maps" one set to another, usually in a way that preserves at least some of the underlyign geometry of the sets. For example, a 2-dimensional coordinate transformation is a mapping of the form. T (u; v) = hx (u; v) ; y (u; v)i.

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