Quadratic Equations, Functions, Zeros, and Models

Lecture 3.2: Quadratic Equations, Functions, Zeros, and Models
Introduction and Reflection
  • Location Snapshot: The lecture begins with a picture from Condom, France, featuring the presenter amidst a historical landscape, setting a reflective tone for the mathematical concepts to be explored. This lecture will delve into quadratic equations, functions, their zeros, and practical applications through various models.

1. Quadratic Functions
  • Definition: A quadratic function is a polynomial function of degree two. It is generally expressed in the standard form: f(x)=ax2+bx+cf(x) = ax^2 + bx + c, where aa, bb, and cc are real numbers and a0a \neq 0.

  • Graph of a Quadratic Function: The graph of a quadratic function is a parabola.

    • The parabola opens upwards if a>0a > 0 (indicating a minimum value).

    • The parabola opens downwards if a<0a < 0 (indicating a maximum value).

  • Key Features of a Parabola:

    • Vertex: The highest or lowest point on the parabola. Its coordinates are (h,k)(h, k), where h=b2ah = -\frac{b}{2a} and k=f(b2a)k = f(-\frac{b}{2a}).

    • Axis of Symmetry: A vertical line passing through the vertex, given by the equation x=b2ax = -\frac{b}{2a}. The parabola is symmetric with respect to this line.

    • y-intercept: The point where the parabola intersects the y-axis. This occurs when x=0x = 0, so the y-intercept is (0,c)(0, c).

    • x-intercepts (Zeros/Roots): The points where the parabola intersects the x-axis. These are the values of xx for which f(x)=0f(x) = 0.

2. Quadratic Equations
  • Definition: A quadratic equation is an equation that can be written in the standard form: ax2+bx+c=0ax^2 + bx + c = 0, where aa, bb, and cc are real numbers with a0a \neq 0.

  • Solving Quadratic Equations: Finding the values of xx that satisfy the equation.

    • Factoring: If the quadratic expression can be factored, set each factor to zero to find the solutions.

    • Square Root Property: Applicable for equations of the form x2=kx^2 = k, leading to x=±kx = \pm \sqrt{k}.

    • Completing the Square: A method to convert the quadratic equation into a perfect square trinomial, allowing the use of the square root property.

    • Quadratic Formula: The most general method for solving any quadratic equation. The solutions are given by:
      x=b±b24ac2ax = \frac{-b \pm \sqrt{b^2 - 4ac}}{2a}

3. Zeros of Quadratic Functions (Roots of Quadratic Equations)
  • Definition: The zeros of a quadratic function are the values of xx for which f(x)=0f(x) = 0. These are equivalent to the roots or solutions of the corresponding quadratic equation ax2+bx+c=0ax^2 + bx + c = 0.

  • The Discriminant (Δ\Delta): The expression b24acb^2 - 4ac from the quadratic formula is called the discriminant. It determines the nature and number of the roots:

    • If Δ>0\Delta > 0: There are two distinct real roots (two x-intercepts).

    • If Δ=0\Delta = 0: There is exactly one real root (a repeated root, so one x-intercept, where the parabola touches the x-axis).

    • If Δ<0\Delta < 0: There are two complex conjugate roots (no real x-intercepts; the parabola does not intersect the x-axis).

4. Quadratic Models and Applications
  • Real-World Phenomena: Quadratic functions are used to model various real-world situations, often involving parabolic paths or optimization.

  • Common Applications:

    • Projectile Motion: The height of an object thrown upwards often follows a parabolic path, modeled by a quadratic function (h(t)=16t2+v<em>0t+h</em>0h(t) = -16t^2 + v<em>0t + h</em>0 for feet, or h(t)=4.9t2+v<em>0t+h</em>0h(t) = -4.9t^2 + v<em>0t + h</em>0 for meters).

    • Optimization Problems: Finding maximum or minimum values in scenarios like maximizing profit, revenue, or minimizing costs, which correspond to the vertex of the parabola.

    • Area Problems: In geometry, maximizing the area of a shape given a fixed perimeter often leads to quadratic models.

    • Business and Economics: Revenue functions (R(x)=(extpriceperunit)×(extnumberofunits)R(x) = ( ext{price per unit}) \times ( ext{number of units})) and cost functions can often be modeled quadratically to find optimal production levels.