U of T MAT237Y1 Multivariable Calculus with Proofs: Study Guide
A study guide for U of T MAT237Y1: derivatives of vector functions, Lagrange multipliers, multiple integrals and Stokes' theorem, with practice.
University of Toronto Updated 3 min read
At a glance
- Course code
- MAT237Y1 (Faculty of Arts and Science, St. George)
- Hours
- 72 lecture hours
- Prerequisites
- A first-year calculus sequence (for example MAT148H1 and MAT149H1, MAT137Y1, or MAT135H1 and MAT136H1 with a proofs course such as MAT138H1) plus linear algebra such as MAT223H1 or MAT240H1
- Breadth
- The Physical and Mathematical Universes (5)
- Covers
- Topology of Euclidean space, derivatives of vector-valued functions, implicit and inverse function theorems, Lagrange multipliers, multiple integrals, line and surface integrals, Green, Gauss and Stokes theorems, Fourier series
- Practice here
- Calculus 3
On this page
MAT237Y1 is Multivariable Calculus with Proofs at the University of Toronto, the course students take after a first-year calculus sequence and linear algebra. It covers the whole of multivariable and vector calculus, from the derivative as a matrix to Stokes' theorem, with full proofs alongside applications. This guide maps each MAT237Y1 topic to practice so the computations become second nature while you work on the theory.
What U of T MAT237Y1 covers
The Arts and Science calendar lists 72 lecture hours of material. The course opens with elementary topology in Euclidean space and the differential calculus of vector-valued functions of a vector variable. It then treats the implicit and inverse function theorems, regular surfaces, optimization with Lagrange multipliers and multivariable Taylor polynomials.
On the integration side it covers Jordan measure, Fubini's theorem and change of variables, then line and surface integrals and vector calculus in two and three dimensions, finishing with the theorems of Green, Gauss (the Divergence Theorem) and Stokes, plus Fourier series. That is a full Calculus 3 course with the rigor of an introductory analysis course.
MAT237Y1 topic map
| MAT237Y1 topic | Practice | Read |
|---|---|---|
| Vectors and geometry of space | Vectors and their length | Dot and cross product |
| Functions of several variables | Functions of several variables | Partial derivatives |
| Derivatives and the chain rule | The multivariable chain rule | Clairaut's theorem |
| Gradient and tangent planes | Tangent planes and linear approximation | Gradient and directional derivatives |
| Multivariable Taylor polynomials and extrema | Critical points and the second-derivative test | Taylor's theorem |
| Lagrange multipliers | Lagrange multipliers | Lagrange multipliers |
| Fubini's theorem | Double integrals over rectangles | Double integrals |
| Change of variables | Change of variables and the Jacobian | Double integrals |
| Line integrals | Work and line integrals of vector fields | Green's theorem |
| Surface integrals and the big theorems | Stokes' theorem and the Divergence Theorem | Stokes' theorem, Divergence Theorem |
How you reach MAT237Y1
| Route | First-year calculus | Also needed |
|---|---|---|
| Proof-based | MAT148H1 and MAT149H1, or MAT137Y1 | Linear algebra (for example MAT223H1 or MAT240H1) |
| Applied | MAT135H1 and MAT136H1 | A proofs course such as MAT138H1, plus linear algebra |
The calendar lists many equivalent combinations from UTM, UTSC and other first-year courses, so check it for your exact case. Either way, both calculus and linear algebra are required, because MAT237Y1 treats the derivative as a linear map.
Example problems at the MAT237Y1 level
1. A Jacobian matrix. For F(x, y) = (x^2 y,\ x + \sin y),
2. Lagrange multipliers. Maximize f(x, y) = xy on x^2 + y^2 = 2. Setting \nabla f = \lambda \nabla g gives y = 2\lambda x and x = 2\lambda y, so x^2 = y^2 = 1. The maximum is f(1, 1) = f(-1, -1) = 1.
3. Green's theorem. For \mathbf{F} = (-y, x) around the unit circle counterclockwise,
How to do well in MAT237Y1
- Get the computations out of the way. Practice partial derivatives and double integrals until they are routine, so proofs get your full attention.
- Lean on linear algebra. Treat each derivative as a matrix and each change of variables as a determinant. Reviewing the dot and cross product guide helps.
- Draw the region. Most multiple-integral mistakes come from wrong limits. Sketch every region before writing bounds.
- Keep a reference sheet. The calculus formula sheet and timed practice sets help you prepare for each test.
Tip: Green's, Gauss's and Stokes' theorems are one idea in three settings: an integral over a boundary equals an integral of a derivative over the inside. Learning them together makes all three easier to remember.
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Functions of several variables
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