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Variables are all around us: temperature, altitude, location, profit, color, and countless others. Multivariable Calculus is the tool of choice to shed light on complex relationships between 2, 3, or hundreds of variables simultaneously.
- How does one control a robot whose motion depends on several variables at once?
- How does an oceanographer understand carbon absorption of the ocean?
- How can one assess if a prediction model matches data optimally?
- How can one design policy to affect the behavior of consumers in order to better protect the planet?
All of these questions involve understanding vectors and derivatives of multivariable functions.
In this course, we begin our exploration of functions of several variables. We will start with learning to visualize multivariable functions, then move to computing and interpreting their derivatives. You will discover how to use linear approximations in several variables to simplify complex questions and will start to think about the world through multivariable dependencies.
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Overview
Syllabus
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Unit 1: Functions of two variables
- Graphing functions and slicing
- Level curves
- Partial derivatives
- Tangent planes
- Linear approximation
Unit 2: Geometry of derivatives
- Vectors
- Dot products
- Gradients
- Vector fields
- Directional derivatives
Unit 3: Optimization
- Critical points
- Second derivative test
- Constrained optimization
- Lagrange multipliers
- Least squares approximation
Unit 4: Matrices
- Systems of equations
- Matrix algebra
- Undetermined and overdetermined systems
- Linear functions as matrix maps
Unit 5: Curves
- Parametric curves in 2 and 3 dimensions
- Chain rule
- Review
- Vectors and derivatives in three dimensions and higher
