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Digital Garden | OER Curriculum
Session Objectives & Overview

By the end of this session, you will be able to:

  • Determine the algebraic domain and range of two-variable functions z=f(x,y)z = f(x, y), classify domain boundaries (open, closed, bounded, unbounded), sketch 2D input regions in R2\mathbb{R}^2, and evaluate multi-input function values.
  • Analyze functions of three variables w=f(x,y,z)w = f(x, y, z), identify excluded surfaces (planes, cylinders, spheres), define 3D input domains as solid volumes or open half-spaces in R3\mathbb{R}^3, and determine real output ranges.
  • Construct and interpret horizontal slices (level curves f(x,y)=cf(x,y) = c in 2D and level surfaces f(x,y,z)=cf(x,y,z) = c in 3D), analyze vertical cross-sectional traces (x=k,y=k,z=kx = k, y = k, z = k), and reconstruct 3D surface geometry (paraboloids, saddles, ellipsoids) from 2D contour maps and slice curves.

📅 Micro-Lecture

1. Functions of Several Variables & Higher-Dimensional Input Spaces

  • Mathematical Foundation: In single-variable calculus, functions y=f(x)y = f(x) map a 1D real input to a 1D output, producing a planar curve. In multivariable calculus, a function of two variables z=f(x,y)z = f(x, y) assigns to each ordered pair (x,y)∈R2(x, y) \in \mathbb{R}^2 in its domain a unique real scalar z∈Rz \in \mathbb{R}. The graph of f(x,y)f(x, y) forms a two-dimensional surface embedded in 3D space R3\mathbb{R}^3. For three variables, w=f(x,y,z)w = f(x, y, z) maps spatial coordinates in R3\mathbb{R}^3 to a scalar output w∈Rw \in \mathbb{R}.
  • Engineering Context: Physical engineering systems inherently depend on multiple independent variables: thermodynamic pressure P(V,T)P(V, T) depends on chamber volume and temperature; microchip power dissipation P(f,V)P(f, V) depends on clock frequency and supply voltage; aerodynamic drag FD(ρ,v)F_D(\rho, v) depends on fluid density and velocity.

2. Multivariable Domains & Boundary Classifications

  • Mathematical Foundation: The domain of f(x,y)f(x, y) is the subset of R2\mathbb{R}^2 where the function is mathematically defined. As detailed in Domain and Range of Multivariable Functions, restrictions arise from non-zero denominators (Q(x,y)≠0Q(x,y) \ne 0), non-negative even radicals (u(x,y)≥0u(x,y) \ge 0), strictly positive logarithmic arguments (u(x,y)>0u(x,y) > 0), and trigonometric asymptotes. Domains in R2\mathbb{R}^2 form planar regions categorized as open (dashed boundary, excluded points) or closed (solid boundary, included points), and bounded (contained in a finite disk) or unbounded. In R3\mathbb{R}^3, domains form solid volumes, shells, or open half-spaces.
  • Engineering Context: Domain calculations define the safe operating envelope of engineering systems, identifying structural boundary limits for gas containment vessels and physical material constraints in load-bearing joints.

3. Visualizing Surfaces via Slices: Level Curves, Level Surfaces, and Traces

  • Mathematical Foundation: Because 3D surfaces and 4D scalar fields cannot be fully visualized in a single 2D projection, multivariable calculus uses dimensional slicing. Slicing a surface z=f(x,y)z = f(x, y) horizontally with planes z=cz = c yields Level Curves and Contour Maps f(x,y)=cf(x, y) = c. Closely spaced contour lines indicate steep gradients, while widely spaced lines indicate gradual slopes. Slicing vertically with coordinate planes yields Traces and Cross-Sections of Surfaces (z=f(x,k)z = f(x, k) or z=f(k,y)z = f(k, y)). For three variables, setting f(x,y,z)=cf(x, y, z) = c creates 3D Level Surfaces (isosurfaces), such as isothermal shells or equipotential surfaces.
  • Engineering Context: Civil engineers use topographical contour maps to route highway grades; aerospace propulsion engineers inspect 3D thermal isosurfaces inside rocket nozzles to identify hot-spots requiring active regenerative cooling.