7.3 Quadratic Equations, Vertex Form & Parabolic Functions
Key Takeaways
Quadratic functions can be expressed in Standard Form y = ax² + bx + c, Vertex Form y = a(x - h)² + k (vertex at (h, k)), and Factored Form y = a(x - r1)(x - r2) (x-intercepts at r1, r2).
The discriminant Δ = b² - 4ac categorizes quadratic roots: Δ > 0 yields 2 distinct real roots, Δ = 0 yields 1 repeated rational real root (parabola vertex touches x-axis), and Δ < 0 yields 2 complex conjugate non-real roots.
Completing the square is the foundational algebraic technique used to convert standard form into vertex form and to derive the quadratic formula x = (-b ± sqrt(b² - 4ac)) / (2a).
The parabola axis of symmetry is x = -b/(2a), and the vertex coordinate (-b/(2a), f(-b/(2a))) represents the absolute minimum when a > 0 and absolute maximum when a < 0.
Applied quadratic optimization models real-world physical and economic phenomena, including maximum projectile heights h(t) = -16t² + v0·t + h0 and maximum business revenues R(p) = p · q(p).
Quadratic Equations, Vertex Form & Parabolic Functions
Core Competency: Quadratic equations and parabolic models are foundational to intermediate and advanced college mathematics. The ACCUPLACER AAF assessment rigorously evaluates your skill in factoring multi-term polynomials, manipulating the three canonical forms of quadratic functions, completing the square, interpreting the discriminant, and calculating maximum or minimum vertex values in real-world applied scenarios.
The Three Canonical Quadratic Forms
A quadratic function is a second-degree polynomial function. Depending on the analytical goal, quadratics are represented in one of three algebraic forms:
+-----------------------------------------------------------------------------------------+
| THE THREE CANONICAL FORMS OF QUADRATICS |
+-----------------------+---------------------------+-------------------------------------+
| Quadratic Form | Algebraic Structure | Primary Analytical Advantage |
+-----------------------+---------------------------+-------------------------------------+
| **Standard Form** | y = ax² + bx + c | Direct y-intercept at (0, c); |
| | | Axis of symmetry x = -b / (2a) |
+-----------------------+---------------------------+-------------------------------------+
| **Vertex Form** | y = a(x - h)² + k | Immediate vertex coordinates (h, k);|
| | | Max/Min value identification |
+-----------------------+---------------------------+-------------------------------------+
| **Factored Form** | y = a(x - r₁)(x - r₂) | Immediate x-intercepts at (r₁, 0) |
| | | and (r₂, 0); Root identification |
+-----------------------+---------------------------+-------------------------------------+
Parameter Behaviors Across All Forms
- Leading Coefficient ():
- If , the parabola opens upward (concave up, ), possessing a global minimum value at its vertex.
- If , the parabola opens downward (concave down, ), possessing a global maximum value at its vertex.
- The magnitude dictates vertical stretch (, narrow) or vertical compression (, wide).
- Horizontal & Vertical Shifts in Vertex Form: In , the vertex is located at . Note the subtraction sign inside the parenthetical expression: has its vertex at , whereas has its vertex at .
Factoring Methodologies for Quadratic Expressions
Solving quadratic equations of the form by factoring relies on the Zero-Product Property: if , then or .
Factoring Decision Matrix
- Greatest Common Factor (GCF): Always extract the highest common monomial factor first:
- Difference of Two Squares (): Factors into conjugate binomials:
- Perfect Square Trinomials ():
- Trinomial Factoring with (): Find two integers and such that and :
- The -Method (Grouping) for ():
- Step 1: Multiply .
- Step 2: Find two factors of the product that add up to .
- Step 3: Split the middle linear term into these two components.
- Step 4: Factor by grouping the first two terms and the last two terms.
Worked Example: The -Method
Factor and solve: .
- Step 1: Compute .
- Step 2: Find factors of that sum to . The factors are and (since and ).
- Step 3: Split into :
- Step 4: Group terms in pairs:
- Step 5: Factor out the common binomial :
- Step 6 (Zero-Product Property): ; .
Solving Quadratics by Completing the Square
Completing the square converts a quadratic expression from standard form into vertex form and serves as the algebraic proof for the quadratic formula.
Algorithmic Procedure
To solve :
- Isolate Variable Terms: Subtract the constant to the right-hand side: .
- Normalize the Leading Coefficient: If , divide all terms by : .
- Add the Square of Half the Linear Coefficient: Compute and add this exact value to both sides of the equation:
- Factor the Left Side as a Binomial Square:
- Apply the Square Root Property: Take the square root of both sides, including the operator:
Worked Example: Converting to Vertex Form by Completing the Square
Convert to vertex form and state its vertex.
- Step 1: Factor out leading coefficient from the variable terms only:
- Step 2: Complete the square inside parentheses. Half of is , and .
- Step 3: Adding inside the parentheses actually adds to the function. Maintain equality by subtracting outside:
- Step 4: Factor the trinomial:
- Result: The vertex is at , and since , the minimum value is .
The Quadratic Formula & Discriminant Analysis
For any quadratic equation (), the exact solutions are determined by the Quadratic Formula:
The Discriminant ()
The radicand expression under the square root, , is the discriminant. It dictates the number and mathematical nature of the roots without requiring full computation.
+-----------------------------------------------------------------------------------------+
| DISCRIMINANT DIAGNOSTIC MATRIX |
+-----------------------+---------------------------------+-------------------------------+
| Discriminant Value (Δ)| Nature and Number of Roots | Graphical x-Intercept Profile |
+-----------------------+---------------------------------+-------------------------------+
| Δ > 0 (Perfect Square)| 2 Distinct Rational Real Roots | Parabola crosses x-axis twice |
| | (e.g., Δ = 25, 49, 144) | at rational coordinates |
+-----------------------+---------------------------------+-------------------------------+
| Δ > 0 (Non-Square) | 2 Distinct Irrational Real Roots| Parabola crosses x-axis twice |
| | (e.g., Δ = 13, 28; conjugate) | at radical coordinates |
+-----------------------+---------------------------------+-------------------------------+
| Δ = 0 | 1 Repeated Rational Real Root | Parabola is tangent to x-axis;|
| | (Multiplicity 2) | Vertex touches at (-b/(2a), 0)|
+-----------------------+---------------------------------+-------------------------------+
| Δ < 0 | 2 Complex Conjugate Roots | Parabola NEVER touches x-axis;|
| | (Non-real roots: u ± vi) | Entirely above or below axis |
+-----------------------+---------------------------------+-------------------------------+
Parabola Anatomy & Applied Vertex Optimization
Every parabola modeled by exhibits symmetric geometry defined by key landmarks.
Geometric Features of Parabolas
- Axis of Symmetry: The vertical line . It passes directly through the vertex and bisects the parabola into two mirror images.
- Vertex Coordinates: .
- -Intercept: , obtained by setting .
- -Intercepts (Zeroes): Points where , found via factoring or the quadratic formula.
Applied Optimization Word Problems
On the ACCUPLACER, quadratic vertex problems typically appear in two major applied contexts:
1. Projectile Motion Modeling
The vertical height of an object projected into the air at time seconds is modeled by:
- Time to Maximum Height: .
- Maximum Height Attained: Evaluate .
- Total Flight Time (Landing): Solve for .
Worked Example: Projectile Motion
A flare is launched from a platform high with an initial upward velocity of . Its height function is .
- Time to peak height: .
- Maximum peak height: .
- Time when flare strikes ground (): Since time cannot be negative, the flare hits the ground at .
2. Revenue Optimization Modeling
Revenue equals unit price times quantity demanded: . When demand decreases linearly with price (), revenue becomes a downward-opening quadratic function whose vertex maximizes revenue.
A quadratic function models the daily profit (in thousands of dollars) of a manufacturing shop based on unit price (in tens of dollars). What is the maximum daily profit achievable and the corresponding unit price?
Maximum profit of $10,000 at a unit price of $20
Maximum profit of $28,000 at a unit price of $60
Maximum profit of $4,000 at a unit price of $30
Maximum profit of $8,000 at a unit price of $30
What is the classification and nature of the roots for the quadratic equation ?
Two complex conjugate non-real roots
Two distinct rational real roots
Two distinct irrational real roots
Exactly one repeated rational real root
Which of the following represents the vertex form of the quadratic function ?
g(x) = 2(x - 2)² + 7
g(x) = 2(x - 4)² - 5
g(x) = 2(x - 2)² + 3
g(x) = 2(x + 2)² + 3
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