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Courses / Calculus I / Session 01

Using Functions to Understand and Predict Systems

Session Objectives & Overview

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

  • Review domain, range, and evaluation of algebra/piecewise functions.
  • Work with function compositions and inverse functions.
  • Master trigonometric unit circle values and logarithmic symmetry rules.

📅 Micro-Lecture

1. Functions, Domain, and Range

  • Mathematical Foundation: A function maps inputs (domain) to outputs (range). Domain restrictions occur when mathematical operations become undefined, such as division by zero (q(x)0q(x) \neq 0 in p(x)q(x)\frac{p(x)}{q(x)}) or even roots of negative numbers (g(x)0g(x) \ge 0 in g(x)\sqrt{g(x)}).
  • Engineering Context: Domain restrictions define physical operating limits and safety envelopes, such as non-negative mass, maximum material stress constraints, or operational temperature ranges. Piecewise functions model sudden system state transitions, such as active heating/cooling thresholds in thermal control systems or changing structural load regimes.

2. Function Composition and Inversion

  • Mathematical Foundation: Composition (fg)(x)=f(g(x))(f \circ g)(x) = f(g(x)) chains operations sequentially. An inverse function f1(x)f^{-1}(x) reverses input-output mappings such that f(f1(x))=xf(f^{-1}(x)) = x, reflected across the line y=xy = x.
  • Engineering Context: Composition represents multi-stage physical processes, such as converting pressure into mechanical displacement and subsequently into an electrical voltage signal. Inverses enable back-calculating raw physical inputs from sensor measurements, such as extracting precise temperatures from thermistor resistance readings.

3. Trigonometry and Unit Circle Dynamics

  • Mathematical Foundation: Angles θ\theta map to points (x,y)=(cosθ,sinθ)(x, y) = (\cos\theta, \sin\theta) on the unit circle x2+y2=1x^2 + y^2 = 1. Key identity:

    sin2θ+cos2θ=1\sin^2\theta + \cos^2\theta = 1

  • Inverse trigonometric functions (arcsin,arccos,arctan\arcsin, \arccos, \arctan) require restricted ranges to remain single-valued functions.

  • Engineering Context: Critical for vector force decomposition in structural statics, AC power phase calculations, wave optics, and spatial coordinate transformations in robotics and flight kinematics.

4. Exponential and Logarithmic Systems

  • Mathematical Foundation: Logarithms inverse exponential relationships (y=bx    logb(y)=xy = b^x \iff \log_b(y) = x). Key identity rules:

    ln(AB)=lnA+lnB\ln(AB) = \ln A + \ln B

    ln(AB)=lnAlnB\ln\left(\frac{A}{B}\right) = \ln A - \ln B

    ln(Ak)=klnA\ln(A^k) = k\ln A

  • Engineering Context: Logarithms linearize wide dynamic ranges into manageable scales (e.g., decibels in signal attenuation or acoustic pressure). Exponential models govern natural decay and growth dynamics, including RC circuit transient responses, heat dissipation via Newton's Law of Cooling, and radioactive half-life calculations.