Math IV: Multivariate Calculus¶
Year 1 · Block 2b · Mathematics
Follow derivatives in several variables into local approximation, constrained optimization and sensitivity.
- 7 weeks
- 50 concept pages
Practise¶
Weeks¶
1Derivatives in several variables8 concepts
- Chain Rule on a Curve
- Multivariable Chain Rule
- Second-Order Partial Derivative
- Steepest Ascent Direction
- Twice Continuous Differentiability on
- Velocity Vector of a Curve
- Hessian Matrix
- Symmetry of Second Derivatives
Review week 1 in Concept Finder 8 concepts
2Implicit systems and approximation8 concepts
- Exogenous and Endogenous Variables
- Higher-Order Partial Derivative
- Higher-Order Symmetry of Partials
- Implicit Function Theorem
- Multivariate Taylor Approximations
- Partial Jacobians
- Third-Order Derivative Tensor
- Tensor Contraction for Taylor Terms
Review week 2 in Concept Finder 8 concepts
3Local inverses and constrained forms9 concepts
- Independent Linear Constraint System
- Left and Right Inverses
- Local Injectivity, Surjectivity, and Bijectivity
- Multivariable Inverse Function Theorem
- Principal Minors and Sylvester's Criterion
- Quadratic Form on a Constraint Set
- Restriction of a Function
- Bordered Matrix Test
- Jacobian Rank Local Behaviour Theorem
Review week 3 in Concept Finder 9 concepts
4Shape, extrema and equality constraints11 concepts
- Convex Set in
- Global Maximum and Minimum on
- Lagrangian Function
- Local Maximum and Minimum on
- Nondegenerate Constraint Qualification
- Saddle Point
- Unconstrained Extrema Conditions
- Convex and Concave Functions on
- Hessian Test for Convexity and Concavity
- Lagrange Multiplier
- Method of Lagrange for Equality Constraints
Review week 4 in Concept Finder 11 concepts
5Inequality constraints7 concepts
- Binding and Nonbinding Constraints
- Complementary Slackness
- Lagrangian Function
- Nondegenerate Constraint Qualification
- Method of Lagrange for Inequality-Constrained Maximization
- Method of Lagrange for Mixed Constraints
- Method of Lagrange for Constrained Minimization
Review week 5 in Concept Finder 7 concepts
6Sensitivity and second-order tests7 concepts
- Bordered Hessian Matrix
- Envelope Theorem for Constrained Optimization
- Lagrange Multiplier
- Parametric Constrained Optimization Problem
- Second-Order Sufficient Conditions for Constrained Optimization
- Value Function
- Shadow Price in Constrained Optimization
Review week 6 in Concept Finder 7 concepts
7General Lagrange methods6 concepts
- General Method of Lagrange
- Kuhn-Tucker Conditions with Nonnegativity Constraints
- Lagrangian Function
- Nonnegativity Constraint OR Modelling
- Envelope Theorem for Constrained Optimization
- Kuhn-Tucker Lagrangian
Review week 7 in Concept Finder 6 concepts
Concepts appear in the week that introduces them, foundations first. A course name after a concept marks a page from another course used that week.
More about this course¶
Before you startEarlier concepts these pages use most. If a step feels unfamiliar, revisit them first.3 courses
Where it leadsLater courses on the wiki that build on these concepts.1 course
AchievementsCourse challenges and how many learners hold them
Aliases: M4, Math 4 Symbols: real numbers
Last updated: 26 October 2026 00:09