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Oppiskele Algebraic Functions | Section
Python Math Module Essentials: Trigonometry, Logarithms, and Constants - 1769704232288

Algebraic Functions

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Definition

An algebraic function is any function that can be expressed using basic arithmetic operations and variables.

Types and Behaviors

1. Identity Function

Form: f(x)=xf(x) = x

Behavior:

  • Passes through the origin (0,0)(0, 0);
  • A straight line with slope m=1m = 1;
  • Every input maps to itself;
  • No maximum or minimum;
  • Domain: (,)(-\infty, \infty);
  • Range: (,)(-\infty, \infty).

Use case: representing unchanged data or as a reference in transformations.

2. Constant Function

Form: f(x)=cf(x) = c

Behavior:

  • A horizontal line at y=cy = c;
  • The output remains constant for all inputs;
  • Slope: m=0m = 0;
  • No maximum or minimum;
  • Domain: (,)(-\infty, \infty);
  • Range: c{c}.

Use case: representing fixed quantities such as baseline values or flat fees.

3. Linear Function

Form: f(x)=mx+bf(x) = mx + b

Behavior:

  • A straight line with slope mm;
  • Increasing if m>0m > 0, decreasing if m<0m < 0;
  • X-intercept: x=bmx = -\frac{b}{m};
  • Y-intercept: y=by = b;
  • No maximum or minimum;
  • Domain: (,)(-\infty, \infty);
  • Range: (,)(-\infty, \infty).

Use case: predicting continuous outcomes such as revenue or costs.

4. Polynomial Function (Quadratic Example)

Form: f(x)=ax2+bx+cf(x) = ax^2 + bx + c

Behavior:

  • Parabolic curve (U-shaped if a>0a > 0; inverted U if a<0a < 0);
  • Vertex at x=b2ax = -\frac{b}{2a};
  • X-intercepts (roots): x=b±b24ac2ax = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a};
  • Y-intercept: f(0)=cf(0) = c;
  • Domain: (,)(-\infty, \infty);
  • Range:
    • If a>0a > 0, then [yvertex;)[y_{vertex}; \infty);
    • If a<0a < 0, then (;yvertex](-\infty; y_{vertex}].

Use case: curve fitting, regression models, and describing non-linear trends.

5. Rational Function

Form: f(x)=p(x)q(x)f(x) = \frac{p(x)}{q(x)}

Example: f(x)=1x1f(x) = \frac{1}{x - 1}

Behavior:

  • Vertical asymptote at x=1x = 1;
  • Horizontal asymptote at y=0y = 0;
  • Undefined at x=1x = 1;
  • Sharp increase and decrease near the asymptote;
  • Domain: (,1)(1,)(-\infty, 1) \cup (1, \infty);
  • Range: (,0)(0,)(-\infty, 0) \cup (0, \infty).

Use case: modeling constrained systems such as rates of change or resource utilization.

question mark

Which type of function has the form f(x)=mx+bf(x) = mx + b and shows a constant rate of change?

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