welcome to math 2110q multivariable calculus
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Welcome to MATH 2110Q Multivariable Calculus 1 Our goal is to - PDF document

Welcome to MATH 2110Q Multivariable Calculus 1 Our goal is to extend calculus tools to account for multiple dimensions. For example, the NavierStokes equations for an incompressible fluid with 3D in space + 1D in time are: You should be


  1. Welcome to MATH 2110Q Multivariable Calculus 1

  2. Our goal is to extend calculus tools to account for multiple dimensions. For example, the Navier­Stokes equations for an incompressible fluid with 3D in space + 1D in time are: You should be able to "read" these equations at the end of the course. 2

  3. Let us stop for a bit and talk about the syllabus and other details of the course. 3

  4. 3D Coordinates 4

  5. We can look at x­y, y­z, and x­z planes in 3D. 5

  6. Recall the four quadrants in 2D: In 3D there are eight "octants". You only need to know the "first octant" by number: 6

  7. Other octants: 7

  8. Projections: this concept can be generalized in many ways far outside the scope of this course. We will discuss "point" and "vector" projections. Projection of P=(a,b,c) onto the x­y plane is (a,b,0): 8

  9. Projection of P onto Projection of P onto x­z plane is (a,0,c) y­z plane is (0,b,c) 9

  10. SURFACES. 2D lines become surfaces in 3D. There is no restriction on z in 3D for the relationship y=­x, so ALL z­values are included: 10

  11. Another common example would be y=1. In 3D, the surface y=1 is a plane parallel to the x­z plane but intersecting the y­axis at y=1; 11

  12. A more complicated example is a CYLINDER. 12

  13. Distance between points. 13

  14. 14

  15. Note Q is the projection of P onto the x­y plane here. The distance is just the size of the z­coordinate of P. 15

  16. One useful idea is the set of all points that are EQUIDISTANT from a central point. 16

  17. 17

  18. 18

  19. We can also envision things like spherical VOLUMES; 19

  20. VECTORS. These are defined by precisely two characteristics: (1) length and (2) magnitude. 20

  21. A vector can be VISUALIZED with the tail at any desired point; it is still the same vector. 21

  22. Vector addition. 22

  23. Multiplication by a scalar. 23

  24. Here are the algebraic rules; things are simply done "component­wise". Addition/subtraction: Scalar multiplication: 24

  25. 25

  26. Magnitude of a vector. 26

  27. Practice #1 Which of the following points is closest to the origin? 27

  28. Practice #2 Find the distance from P=(5, ­7, 4) to the y­z plane. 28

  29. Practice #3. Find an equation for a sphere with center (0,­1,2) and radius 7. 29

  30. Practice #4. Find the center and radius of the sphere 30

  31. Practice #5. 31

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