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Multivariable Calculus
Vectors and Dot Products
01Vectors, Components, and Length in Space02Scaling and Adding Vectors: The Parallelogram Rule03The Dot Product and the Law of Cosines04Finding Angles in Space With the Dot Product05The Perpendicularity Test and the Normal Vector to a PlaneProblem set0/10Problem set 20/10MIT problem set0/2
Determinants and the Cross Product
01The Component of a Vector Along Any Unit Direction02The 2x2 Determinant and the Area of a Parallelogram03The 3x3 Determinant and the Volume of a Box04The Cross Product and the Right-Hand Rule05The Triple Product and the Volume of a ParallelepipedProblem set0/10Problem set 20/10MIT problem set0/2
Matrices and Inverse Matrices
01Why Swapping a Cross Product Flips Its Sign02The Equation of a Plane Through Three Points03Matrix Multiplication: Rows Dotted With Columns04Matrices as Transformations: Identity and Rotation05The Inverse Matrix and Solving AX = B06Computing a 3x3 Inverse: Minors, Cofactors, AdjointProblem set0/10Problem set 20/10MIT problem set0/2
Planes and Square Systems
01Planes From a Point and a Normal Vector02Reading the Normal Vector Off a Plane Equation03Three Planes, One Point: Solving a 3x3 System04Invertibility, det A, and the Homogeneous System05When det A = 0: Coplanar Normals and a Line of SolutionsProblem set0/10Problem set 20/10
Parametric Lines and Curves
01Parametric Equations of a Line Through Two Points02Where a Line Meets a Plane, and When It Never Does03The Cycloid: Choosing a Parameter That Is Not Time04Deriving the Cycloid's Equations From Three Vectors05Is the Cycloid's Bottom a Corner? Taylor Expansion Finds a CuspProblem set0/10Problem set 20/10MIT problem set0/2
Velocity and Kepler's Law
01Velocity and Speed on the Cycloid: Why the Point Stops Dead02Acceleration Is a Vector: Turning at Constant Speed Still Counts03Arc Length and the Unit Tangent: v = T̂ ds/dt04Equal Areas in Equal Times: Kepler's Second Law and |r × v|05Kepler's Second Law Means the Force Is CentralProblem set0/10Problem set 20/10MIT problem set0/1
Functions of Several Variables
01Functions of Two Variables: Graphs as Surfaces, Built from Slices02Level Curves and Contour Plots: A Surface Drawn as a Flat Map03Reading Contour Plots: Domes, Bowls, Saddles and Mountain Passes04Partial Derivatives: Change One Variable, Hold the Other FixedProblem set0/10Problem set 20/10MIT problem set0/2
Optimization and Least Squares
01Approximation Formula: Changes in x and y Add, via the Tangent Plane02Critical Points: Where Both Partial Derivatives Are Zero03Minimum, Maximum or Saddle Point? Classifying by Completing the Square04Least Squares: The Best-Fit Line as a Minimization in a and b05Solving Least Squares: Best-Fit Lines, Exponentials and ParabolasProblem set0/10Problem set 20/10MIT problem set0/3
The Second Derivative Test
01Quadratic Critical Points: The Sign of 4ac − b² Decides02The Second Derivative Test: Classifying by the Sign of AC − B²03Global Min and Max of x + y + 1/(xy): Boundary and InfinityProblem set0/10Problem set 20/10MIT problem set0/1
Differentials and the Chain Rule
01The Total Differential: Why df Is Not Δf, and Its Three Uses02The Chain Rule: Why It Holds, a Worked Check, and the Product Rule03Chain Rule for a Change of Variables: Partials in Polar CoordinatesProblem set0/10Problem set 20/10MIT problem set0/1
Gradients and Constraints
01The Gradient Vector: Why It Is Perpendicular to Level Sets02Tangent Plane to a Surface From the Gradient: The Hyperboloid03Directional Derivatives and the Direction of Steepest AscentProblem set0/10Problem set 20/10MIT problem set0/2
01Lagrange Multipliers: Tangent Level Curves and ∇f = λ∇g02Solving the Lagrange Equations, and Why the Method Works03The Least-Area Gold Pyramid: Its Top Sits Over the IncenterProblem set0/10Problem set 20/10MIT problem set0/1
01Implicit Partial Derivatives: Differentiate the Constraint02Which Variable Is Held Constant? Subscript Notation03A Constrained Rate Three Ways: Differentials vs Chain RuleProblem set0/10Problem set 20/10MIT problem set0/3
Multiple Integrals
01The Heat Equation: A First Partial Differential Equation02Double Integrals: Volume Under a Surface by Slicing03Iterated Integrals Over a Square and a Quarter Disk04Exchanging the Order of Integration: Redraw the RegionProblem set0/10Problem set 20/10MIT problem set0/1
01Double Integrals in Polar Coordinates: Why dA = r dr dθ02Area, Mass, Averages and Center of Mass by Double Integrals03Moment of Inertia: Spinning a Disk About Its Center and Its RimProblem set0/10Problem set 20/10MIT problem set0/3

Moment of Inertia: Spinning a Disk About Its Center and Its Rim

Why is a frisbee three times harder to spin about a point on its rim than about its center?


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Your summary note

    1. 1

      I0=mr2I_0 = mr^2I0​=mr2 from rotational kinetic energy

      Derive v=rωv = r\omegav=rω for a point mass on a circle, rewrite 12mv2\frac{1}{2}mv^221​mv2 as 12mr2ω2\frac{1}{2}mr^2\omega^221​mr2ω2, and sum over small pieces to get I0=∬Rr2 δ dAI_0 = \iint_R r^2\,\delta\,dAI0​=∬R​r2δdA.

    2. 2

      Moment of inertia about an axis

      State I=∬R(distance to axis)2 δ dAI = \iint_R (\text{distance to axis})^2\,\delta\,dAI=∬R​(distance to axis)2δdA and specialize it to Ix=∬Ry2 δ dAI_x = \iint_R y^2\,\delta\,dAIx​=∬R​y2δdA for rotation about the xxx-axis.

    3. 3

      Uniform disk spun about its center

      Set up ∫02π∫0ar2 r dr dθ\int_0^{2\pi}\int_0^a r^2\,r\,dr\,d\theta∫02π​∫0a​r2rdrdθ, record that rrr ranges over the disk rather than equaling aaa, and evaluate to πa42\frac{\pi a^4}{2}2πa4​.

    4. 4

      Uniform disk spun about a rim point

      Place the origin on the rim, derive the boundary r=2acos⁡θr = 2a\cos\thetar=2acosθ for −π2≤θ≤π2-\frac{\pi}{2} \le \theta \le \frac{\pi}{2}−2π​≤θ≤2π​, set up the integral, and record 32πa4\frac{3}{2}\pi a^423​πa4, three times the center value.

    Attempt 1 of 2