
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.
Explore vectors in two and three dimensions, distinguishing magnitude and direction, learning vector addition and subtraction, scalar multiplication, components, standard position, and unit vectors.
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.
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.
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.
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.
Explore quadratic surfaces as three dimensional analogues of conic sections, sketching origin-centered ellipsoid, elliptic parabola, and hyperbolic parabola using traces in coordinate planes.
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.
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.
Compute curvature of smooth curves using arc length parameterization and the unit tangent, applying cross product and scalar formulas to lines, helices, and ellipses.
Explore functions of two or more variables, where x and y are independent and z is dependent, determine domains, and sketch level curves and level surfaces in three dimensions.
Explore limits and continuity in functions of two variables. Determine whether the limit as (x,y) approaches (0,0) equals L by examining multiple paths and using informal definitions and examples.
Learn partial derivatives of functions of two variables, defining F_x, F_y, Z_x, Z_y, and their geometric interpretation as slopes of tangent lines; practice second and mixed derivatives and Clairaut's theorem.
The lecture generalizes differentiability to functions of two variables, shows partial derivatives alone don’t guarantee differentiability or continuity, and introduces the total differential and tangent planes.
Explore the chain rule from single-variable to multivariable functions, using partial derivatives, two-variable and three-variable forms, and implicit differentiation with practice examples.
Compute directional derivatives by dotting the gradient with a unit vector, showing the maximum rate equals the gradient's length. The gradient is normal to level surfaces.
Explore how to locate relative and absolute maxima and minima for functions of two variables on closed regions, using critical points, partial derivatives, the Hessian, and boundary analysis.
Introduces double integrals to measure volume under a surface over region r in the x-y plane, using iterated integration and interchanging the order of integration.
Explore double integrals over nonrectangular regions by sketching boundaries, identifying type one and type two regions, and changing the order of integration to evaluate difficult limits, compute volumes and areas.
Learn to set up and evaluate integrals over polar regions by converting to r–theta iterated integrals, including origin-touching cases, with examples of a circle vs cardioid and a rose curve.
Explore triple integrals as the three-dimensional extension of single and double integrals, integrating f(x, y, z) over a solid G using iterated or double-triple integrals to compute volume.
Master cylindrical and spherical coordinates, convert between rectangular, cylindrical, and spherical systems, and visualize points as intersections with cylinders, cones, and spheres.
Explore cylindrical and spherical triple integrals, set up with appropriate limits, including the Jacobian factors R and rho^2 sin phi, through sphere volume and cone-sphere intersection examples.
Explore vector fields in two and three dimensions, visualize field vectors, compute divergence and curl using del notation, and connect gradient fields to conservative potentials with examples.
Explore line integrals of functions f(x,y) along curves, using parameterizations x(t), y(t) and ds, dx, dy, to turn into definite integrals with examples like a quarter circle.
Learn how line integrals in conservative vector fields are independent of the path, using potential functions, the fundamental theorem of work integrals, and the curl test in simply connected regions.
Apply Green's theorem to convert line integrals to double integrals for simply connected and multiply connected regions; master area formulas and ellipse area calculations through worked examples.
Explore parametric surfaces in 3d space with two parameters u and v, using vector valued functions r(u,v) to form tangent planes via partial derivatives and cross products.
Learn to compute surface integrals by parameterizing surfaces in three dimensions, converting to double integrals via the cross product magnitude, and applying to surface area and general functions.
Study surface orientation and flux: two possible orientations, gradient-based and cross-product methods, and practical examples with sphere and ellipsoid flux calculations.
Explore Stokes theorem and its relation to Green's theorem, linking line integrals around closed curves to surface integrals of curl over oriented surfaces, with practical examples.
Apply the divergence theorem to convert surface flux into triple integrals over simple regions, illustrating with the unit sphere, unit cube, and paraboloid.
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
Rectangular Coordinates in 3-space
Vectors
Dot Product
Cross Product
Equations of Lines
Equations of Planes
Quadric Surfaces
Vector-valued Functions
Arc Length and the TNB-Frame
Curvature
Functions of Multiple Variables and Partial Differentiation
Functions of Two or More Variables
Limits and Continuity
Partial Derivatives
Differentiability
Chain Rule
Directional Derivatives
Maxima and Minima of Functions of Two Variables
Multiple Integrals
Double Integrals
Double Integrals over Nonrectangular Regions
Double Integrals over Polar Regions
Triple Integrals
Cylindrical and Spherical Coordinates
Triple Integrals in Cylindrical and Spherical Coordinates
Vector Calculus
Vector Fields
Line Integrals
Independence of Path
Green’s Theorem
Parametric Surfaces
Surface Integrals
Orientable Surfaces and Flux
Stoke’s Theorem
Divergence Theorem