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Calculus and Vectors (Grade 12)

39 of 39 topics written so far. Greyed-out topics are coming soon.

Unit 1: Rates of Change and Limits

  1. 1Instantaneous Rate of Change

    Estimating the rate of change at a single moment as the slope of a tangent, using secants over shrinking intervals and centred intervals.

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  2. 2Introduction to Limits

    The idea of a limit — what a function approaches near a point, limit notation, one-sided limits, and when a limit does not exist.

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  3. 3Estimating Limits from Graphs and Tables

    Reading limits and one-sided limits from a graph, estimating limits from tables of values, and checking that graphs, tables, and equations agree.

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  4. 4Algebraic Techniques for Limits

    Evaluating 0/0 limits by factoring, rationalizing with conjugates, and combining fractions, and choosing the right procedure for a limit.

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  5. 5The Definition of the Derivative

    The derivative as a limit, derivative notation, tangent lines, and estimating derivatives from tables and graphs.

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  6. 6Differentiability and Continuity

    Why differentiable functions are continuous, where derivatives fail to exist (corners, cusps, vertical tangents, discontinuities), and checking piecewise functions.

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Unit 2: Derivative Rules

  1. 1The Power Rule and Basic Derivative Rules

    Differentiating powers of x (including negative and fractional exponents), constants, sums, differences, and constant multiples.

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  2. 2The Product Rule

    Differentiating a product of two (or three) functions, including from tables of values and in context.

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  3. 3The Chain Rule

    Differentiating composite functions with f'(g(x)) · g'(x) and dy/du · du/dx — powers, trig, exponential, and log compositions, tables of values, and choosing which rules to combine.

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  4. 4The Quotient Rule and Trig Derivatives

    Differentiating quotients, and using the quotient rule to find the derivatives of tan x, cot x, sec x, and csc x.

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  5. 5Derivatives of Sine, Cosine, eˣ, and ln x

    The derivatives of sin x, cos x, e^x, and ln x, why radians matter, and using them with the basic derivative rules.

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  6. 6Derivatives of Exponential Functions

    Why the derivative of a^x is a constant times a^x, how that leads to the number e, the rule d/dx a^x = a^x ln a, the chain rule with e^(kx) and A·b^(kt), and rates of growth and decay.

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  7. 7Higher-Order Derivatives

    Second, third, and higher derivatives — notation like f''(x), d²y/dx², and y'', what the second derivative means, and second derivatives of implicit relations.

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Unit 3: Curve Sketching

  1. 1Critical Points and Extrema

    Absolute and relative maximums and minimums, the Extreme Value Theorem, and finding critical points where f'(x) = 0 or f'(x) does not exist.

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  2. 2First Derivative Test

    Finding where a function increases and decreases from the sign of f', building sign charts, and using the first derivative test to classify relative extrema.

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  3. 3Concavity and the Second Derivative Test

    Concave up and concave down from the sign of f'', points of inflection, and the second derivative test for relative extrema — including when it's inconclusive.

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  4. 4Connecting f, f′, and f″

    Reading the features of f from graphs of f' and f'', and sketching f and f' from each other — increasing, extrema, concavity, and inflection points.

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  5. 5Curve Sketching

    A complete step-by-step method for sketching polynomial and simple rational functions from their equations — domain, intercepts, symmetry, asymptotes, f' and f'' sign charts, and a summary table.

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Unit 4: Applications of Derivatives

  1. 1Straight-Line Motion with Derivatives

    Position, velocity, and acceleration of a particle on a line — speed, direction, changing direction, and speeding up versus slowing down.

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  2. 2Derivatives in Context

    Interpreting a derivative as a rate of change with units, and writing AP-style sentences about what f'(a) means in a real situation.

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  3. 3Optimization

    Setting up and solving optimization problems with derivatives — variables, constraint, objective function, domain — and justifying the answer for fencing, boxes, cans, cost, and distance.

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  4. 4Optimization with Rational and Exponential Models

    Solving optimization problems with rational and exponential models — average cost, revenue from exponential demand, drug concentration, and maximizing an average rate — with domain checks and justification.

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Unit 5: Vectors

  1. 1Introduction to Vectors

    Scalars vs vectors, magnitude and direction, vector notation, equal and opposite vectors, and describing directions with bearings and angles.

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  2. 2Adding and Subtracting Vectors

    Adding vectors tip to tail and with the parallelogram law, subtracting by adding the opposite, the zero vector, properties of addition, and finding a resultant with the cosine and sine laws.

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  3. 3Scalar Multiplication of Vectors

    Multiplying a vector by a number, collinear vectors, unit vectors, the distributive properties, linear combinations, and simple geometric proofs with vectors.

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  4. 4Applications of Vectors

    Resultant and equilibrant forces, and navigation problems with wind and current (heading vs track, air speed vs ground speed), solved with vector diagrams and the sine and cosine laws.

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  5. 5Cartesian Vectors

    Writing 2-D vectors in component form [x, y], position vectors, converting between components and magnitude-direction, the vector between two points, unit vectors i and j, and operations in component form.

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  6. 6Vectors in Three Dimensions

    The right-handed 3-D coordinate system, plotting points, vectors [x, y, z] and the unit vectors i, j, k, magnitude, distance between points, operations in component form, and collinearity.

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Unit 6: Dot and Cross Products

  1. 1The Dot Product

    Multiplying two vectors to get a number — the geometric and component formulas, the angle between vectors, perpendicular vectors, properties, and work.

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  2. 2Vector Projections

    The scalar and vector projection of one vector onto another, splitting a vector into parallel and perpendicular parts, direction cosines, and applications to forces and work.

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  3. 3The Cross Product

    Multiplying two vectors in 3-space to get a perpendicular vector — the component formula, the determinant shortcut, the right-hand rule, the magnitude formula, and properties.

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  4. 4Applications of the Cross Product

    Using the cross product to find areas of parallelograms and triangles, volumes with the scalar triple product, torque on a wrench, and vectors normal to two given vectors.

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Unit 7: Lines and Planes

  1. 1Linear Equations in 2-Space and 3-Space

    What the solutions of linear equations look like — lines in 2-space, planes in 3-space — and how systems of two equations meet in a point, a line, or not at all.

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  2. 2Equations of Lines in 2-Space

    Vector, parametric, and scalar equations of a line in the plane, normal and direction vectors, converting between forms, and parallel and perpendicular lines.

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  3. 3Equations of Lines in 3-Space

    Vector, parametric, and symmetric equations of a line in 3-space, why a line has no single scalar equation, and writing a line as the intersection of two planes.

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  4. 4Equations of Planes

    Normal vectors, scalar, vector, and parametric equations of a plane, converting between them with the cross product, the plane through three points, and parallel and perpendicular planes.

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  5. 5Intersections of Lines and Planes

    How two lines in 3-space can meet (intersecting, parallel, coincident, or skew), how a line meets a plane, and how to find the point of intersection.

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  6. 6Intersections of Planes

    How two or three planes can meet — in a point, a line, a plane, or not at all — solving systems of three equations by elimination, and using normals to predict the result.

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  7. 7Distances to Lines and Planes

    Shortest distances from a point to a line or a plane, between parallel planes, and between skew lines, derived from projections and cross products.

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