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Multivariable Calculus
Rating: 4.4 out of 5(18 ratings)
149 students

Multivariable Calculus

Calculus in 3-Space, Partial Differentiation, Multiple Integration, and Vector Calculus
Created bySteve Warner
Last updated 6/2022
English
English [Auto],

What you'll learn

  • Calculus in 3-space
  • Partial Differentiation
  • Multiple Integration
  • Vector Calculus

Course content

4 sections32 lectures9h 49m total length
  • Rectangular Coordinates in 3-space16:55

    Explore rectangular coordinates in 3-space, locating points via the x, y, z axes from the origin, and apply the distance formula, sphere standard form, and cylindrical surfaces.

  • Vectors28:14

    Explore vectors in two and three dimensions, distinguishing magnitude and direction, learning vector addition and subtraction, scalar multiplication, components, standard position, and unit vectors.

  • Dot Product15:37

    Explore the dot product in two- and three-space, its angle relation via cosine, and project a vector onto another, decomposing into parallel and orthogonal parts.

  • Cross Product30:16

    Explore the cross product of two three-dimensional vectors, computed via a determinant and cofactors, and apply it to orthogonality, parallelogram area, and scalar triple products for volume.

  • Equations of Lines14:25

    Explore how to describe lines in two-space and three-space using parametric, vector, and symmetric equations, through points, vectors, and line segments, and distinguish parallel, intersecting, and skew lines.

  • Equations of Planes26:48

    Learn to write planes in point-normal and general forms, including x=a, y=b, z=c for planes parallel to coordinate planes. Use normal vectors to find distances and angles with distance formula.

  • Quadric Surfaces24:23

    Explore quadratic surfaces as three dimensional analogues of conic sections, sketching origin-centered ellipsoid, elliptic parabola, and hyperbolic parabola using traces in coordinate planes.

  • Vector-valued Functions20:03

    Explore vector-valued functions and parametric equations for curves in two and three dimensions, including tangent vectors and lines, derivatives and integrals by components, and dot and cross product rules.

  • Arc Length and the TNB-Frame22:50

    Compute arc length for 3d parameterized curves, derive arc length parameterizations, and build the TNB frame (tangent, normal, binormal) to analyze smooth curves with helix and line examples.

  • Curvature20:02

    Compute curvature of smooth curves using arc length parameterization and the unit tangent, applying cross product and scalar formulas to lines, helices, and ellipses.

Requirements

  • Single Variable Calculus

Description

This is a complete course in Multivariable calculus. Multivariable calculus is an extension of single variable calculus to calculus with functions of two or more variables. It is expected that anyone taking this course has already knows the basics from single variable calculus: limits and continuity, differentiation and integration.

In this course you will learn how to perform calculus on functions of two or more variables, as well as vector-valued functions. In particular, the topics covered include the basics of three dimensional space and vectors,  vector-valued functions including the calculus of vector-valued functions (limits, differentiation, and integration), differentiation of functions of two or more variables, integration of functions of two or more variables, and vector calculus.


Single variable Calculus is a prerequisite for this course.


Here is a complete list of the topics that will be covered:

    Three-dimensional Space and Vectors

  1. Rectangular Coordinates in 3-space

  2. Vectors

  3. Dot Product

  4. Cross Product

  5. Equations of Lines

  6. Equations of Planes

  7. Quadric Surfaces

  8. Vector-valued Functions

  9. Arc Length and the TNB-Frame

  10. Curvature


    Functions of Multiple Variables and Partial Differentiation

  11. Functions of Two or More Variables

  12. Limits and Continuity

  13. Partial Derivatives

  14. Differentiability

  15. Chain Rule

  16. Directional Derivatives

  17. Maxima and Minima of Functions of Two Variables


    Multiple Integrals

  18. Double Integrals

  19. Double Integrals over Nonrectangular Regions

  20. Double Integrals over Polar Regions

  21. Triple Integrals

  22. Cylindrical and Spherical Coordinates

  23. Triple Integrals in Cylindrical and Spherical Coordinates


    Vector Calculus

  24. Vector Fields

  25. Line Integrals

  26. Independence of Path

  27. Green’s Theorem

  28. Parametric Surfaces

  29. Surface Integrals

  30. Orientable Surfaces and Flux

  31. Stoke’s Theorem

  32. Divergence Theorem

Who this course is for:

  • Students that want to learn Multivariable Calculus and Vector Analysis