
Explore points and vectors in the plane R^2 and space R^3 using Cartesian coordinates, define position vectors, and master vector addition, scaling, and their relation to coordinates.
Learn about the four vector products—scaling, dot product, cross product, and scalar triple product—defined for R^2 and R^3, with a focus on their basics and notation.
Examine the cross product of two vectors in R^3 via a determinant-like setup, yielding a vector perpendicular to both with length equal to the parallelogram area under the right-hand rule.
Compute the scalar triple product in R^3 as (v × w) · u, a real number equal to the signed volume of the parallelepiped, and use it to test coplanarity.
Describe lines in the plane using four equivalent forms—slope-intercept, normal, intercept, and parametric—each tying a starting point, intercepts, or a directional vector.
Introduce conic sections—circle, ellipse, parabola, and hyperbola—through algebraic, geometric, distance, and analytical views, highlighting quadratic equations in two variables and their graphs.
Define conic sections by distance, showing circles, ellipses, hyperbolas, and parabolas via focal distances, directrix for parabola, and related equations and center shifts.
Present conic sections cheat sheets with circle, ellipse, and hyperbola equations, centers at x0, y0 with radius R, axes A and B, and note non-canonical forms and rotations.
Extra material: proof that the definition by distance of an ellipse leads to the right equation.
Extra material: proof that the definition by distance of a parabola leads to the right equation.
Apply completing the square to determine curves. First problem yields circle centered at (1,0) with radius 1. Second yields ellipse centered at (1,0) with semi-axes 1 and 1/√2.
Identify an ellipse from a quadratic equation by completing the square to find its center at (-3, 1) and semi-axes lengths 4 and 3, yielding the canonical form.
complete the square to identify hyperbolas in problems 4 and 5. determine centers at (1,-1) and (0,1), with a and b values: problem 4, a=b=1; problem 5, a=b=1/2.
Complete the square to rewrite y = x^2 - 2x + 2 as a parabola with vertex (1,1); transform x = y^2 - 2y into a parabola with vertex (-1,1).
Explore quadric surfaces, described by second-degree equations in three variables, including ellipsoids, paraboloids, hyperboloids, cones, and cylinders, and learn to classify them via discriminants and cross-section visuals.
By completing the square, rewrite the equation as (x-3)^2+(y+2)^2-3=z, revealing an elliptic paraboloid with vertex at (3,-2,-3) and circular cross-sections.
Identify problem four's cone on the y-axis with elliptic cross-sections, and problem five's parabolic cylinder on the y-axis with cross-section x = z^2 + z.
Explore open, closed, and bounded sets in multivariable topology, learning interior, exterior, boundary, and closure with examples like ellipse domains and spheres.
Identify sets in the plane from algebraic descriptions by drawing boundary curves and using equalities and inequalities; apply these to domains of two-variable functions, double integrals, and extrema on sets.
Describe the set of points with y between -x^2+2x and 8-x^2; parabolas intersect at (4,-8), so the set is open and unbounded, not contained in a disc around the origin.
Example 3 analyzes set D in the first quadrant defined by x>0, 0<y<2, y<1/x; the set is unbounded and neither open nor closed, with boundaries x=0, y=0, y=2, y=1/x.
Example five identifies the region in the first quadrant with 1 ≤ x^2 + y^2 ≤ 4, y ≥ x, and y ≤ sqrt(3) x, which is closed and bounded.
Explore polar coordinates in the plane, using radius r and angle theta, and convert between polar and cartesian coordinates; recognize circles r = const and rays theta = const.
Convert the cylindrical equation z r = 2 - r^2 to Cartesian form using r = sqrt(x^2+y^2) and r^2 = x^2+y^2, resulting in z sqrt(x^2+y^2) = 2 - (x^2+y^2).
Explore spherical coordinates in 3d, defining points by distance from the origin and angles theta and phi, linking surfaces such as spheres and cones with r and theta/phi ranges.
Learn to convert between spherical coordinates and cartesian coordinates, deriving X, Y, Z from R, phi, theta and the inverse, including R = sqrt(X^2+Y^2+Z^2) and theta, phi relations.
Convert the Cartesian point (2, -2, 1) to spherical coordinates by computing R, theta, and phi, deriving R=3, theta=7pi/4, and phi via arccos(1/3) using the distance formula.
Convert cylindrical coordinates r=2, θ=π/6, z=-2 to cartesian and then to spherical; obtain (x,y,z) = (√3, 1, -2) and (R, φ, θ) = (2√2, 3π/4, π/6).
Explore curves from intuition to formal views in the plane and space, including graphs, conic sections, circle equations, and the helix with parametric descriptions.
Explore vector-valued functions and parameterization of curves, with X, Y, and Z components. See how different parameterizations describe the same circle, line, or ellipse, and shift center while varying speed.
Explore standard vector-valued calculus notation, including comma-separated coordinates, boldface or arrow forms, and unit axis vectors, and treat vector-valued functions as linear combinations of base vectors; avoid mixing incompatible notations.
Compute derivatives of vector-valued functions componentwise to obtain velocity and tangent vectors. Explore constant-speed circle motion, showing the velocity is perpendicular to position and derived via chain and product rules.
Compute speed as the magnitude of velocity, the derivative of position, and understand acceleration as the derivative of velocity, with circle parameterizations and chain rule implications.
Explore position, velocity, and acceleration through a concrete vector-valued example: R(t) = (t^2, sin t) for t>0, computing v=R'(t) and a=R''(t), and plotting the path as y = sin(sqrt(x)).
Sketch a parametric plane curve using a vector valued function and velocity. Determine self-intersections and turning points by analyzing x(t)=t^2-4 and y(t)=t^3-4t with t in [-2.5, 2.5].
A particle moves along a path with omega; velocity and acceleration derive, giving constant speed and a circle formed by the radius five sphere intersecting plane 3Y=4X.
Explore the extra theory of limits and continuity for vector-valued functions, and learn how component-wise convergence connects epsilon-delta definitions to two-dimensional curves.
Explore how position and velocity relate in vector-valued motion, showing velocity is perpendicular to the position vector for circular motion about the origin, and how this generalizes to sphere paths.
Compute arc length for space and plane curves by differentiating the position vector to obtain velocity and speed, then apply a change of variables to evaluate the integral.
Compute arc length for 3-d parametric curves by deriving velocity, simplifying speed with identities, and evaluating integrals from 0 to 3 and 0 to 2pi for a spiral along z-axis.
Calculus 3 (multivariable calculus), part 1 of 2
Towards and through the vector fields, part 1 of 2
[None of our courses are produced using AI; they are all real-human products.]
(Chapter numbers in Robert A. Adams, Christopher Essex: Calculus, a complete course. 8th or 9th edition.)
C0: Introduction to the course; preliminaries (Chapter 10: very briefly; most of the chapter belongs to prerequisites)
S1. About the course
S2. Analytical geometry in R^n (n = 2 and n = 3): points, position vectors, lines and planes, distance between points (Ch.10.1)
S3. Conic sections (circle, ellipse, parabola, hyperbola)
S4. Quadric surfaces (spheres, cylinders, cones, ellipsoids, paraboloids etc) (Ch.10.5)
S5. Topology in R^n: distance, open ball, neighbourhood, open and closed set, inner and outer point, boundary point (Ch.10.1)
S6. Coordinates: Cartesian, polar, cylindrical, spherical coordinates (Ch.10.6)
You will learn: to understand which geometrical objects are represented by simpler equations and inequalities in R^2 and R^3, determine whether a set is open or closed, if a point is an inner, outer or boundary point, determine the boundary points, describe points and other geometrical objects in the different coordinate systems.
C1: Vector-valued functions, parametric curves (Chapter 11: 11.1, 11.3)
S7. Introduction to vector-valued functions
S8. Some examples of parametrisation
S9. Vector-valued calculus; curve: continuous, differentiable and smooth
S10. Arc length
S11. Arc length parametrisation
You will learn: Parametrise some curves (straight lines, circles, ellipses, graphs of functions of one variable);
if r(t) = (x(t), y(t), z(t)) is a function describing a particle’s position in R^3 with respect to time t, describe position, velocity, speed and acceleration; compute arc length of parametric curves, arc length parametrisation.
C2: Functions of several variables; differentiability (Chapter 12)
S12. Real-valued functions in multiple variables, domain, range, graph surface, level curves, level surfaces
You will learn: describe the domain and range of a function, Illustrate a function f(x,y) with a surface graph or with level curves.
S13. Limit, continuity
You will learn: calculate limit values, determine if a function has limit value or is continuous at one point, use common sum-, product-, ... rules for limits.
S14. Partial derivative, tangent plane, normal line, gradient, Jacobian
You will learn: calculate first-order partial derivatives, compute scalar products (two formulas) and cross pro- duct, give formulas for normals and tangent planes; understand functions from R^n to R^m, gradients and Jacobians.
S15. Higher partial derivates
You will learn: compute higher order partial derivatives, use Schwarz’ theorem. Solve and verify some simple PDE's.
S16. Chain rule: different versions
You will learn: calculate the chain rule using dependency diagrams and matrix multiplication.
S17. Linear approximation, linearisation, differentiability, differential
You will learn: determine if a function is differentiable in a point, linearisation of a real-valued function, use linearisation to derive an approximate value of a function, use the test for differentiability (continuous partial derivatives), and properties of differentiable functions.
S18. Gradient, directional derivatives
You will learn: calculate the gradient, find the direction derivative in a certain direction, properties of gradients, understand the geometric interpretation of the directional derivative, give a formula for the tangent and normal lines to a level curve.
S19. Implicit functions
You will learn: calculate the Jacobian determinant, derive partial derivatives with dependent and free variables of implicit functions.
S20. Taylor's formula, Taylor's polynomial
You will learn: derive Taylor's polynomials and Taylor's formula. Understand quadratic forms and learn how to determine if they are positive definite, negative definite, or indefinite.
C3: Optimisation of functions of several variables (Chapter 13: 13.1–3)
S21. Optimisation on open domains (critical points)
S22. Optimisation on compact domains
S23. Lagrange multipliers (optimisation with constraints)
You will learn: classify critical points: local max and min, saddle points; find max and min values for a given function and region; use Lagrange multipliers with one or more conditions.
Make sure that you check with your professor what parts of the course you will need for your midterms. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.
A detailed description of the content of the course, with all the 255 videos and their titles, and with the texts of all the 216 problems solved during this course, is presented in the resource file "001 Outline_Calculus3.pdf" under Video 1 ("Introduction to the course"). This content is also presented in Video 1.