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A single quadratic equation can be derived from four different quadratic equations by taking a linear combination (a system of equations with scalar multipliers) or by enforcing specific constraint conditions (such as a shared vertex, shared root, or common key point).
The most direct and standard mathematical way to derive a single unique quadratic equation a_f x^2 + b_f x + c_f = 0 from four distinct quadratic equations f_i(x) = a_i x^2 + b_i x + c_i = 0 (i = 1, 2, 3, 4) is to construct a normalized, weighted sum of the coefficients.
General Derivation Method (Weighted System)
Given four base quadratic equations:
E_1: a_1 x^2 + b_1 x + c_1 = 0E_2: a_2 x^2 + b_2 x + c_2 = 0E_3: a_3 x^2 + b_3 x + c_3 = 0E_4: a_4 x^2 + b_4 x + c_4 = 0
We define non-zero weighting factors w_1, w_2, w_3, w_4 such that:
\sum_{i=1}^{4} w_i \cdot E_i = 0
Expanding this gives the single consolidated quadratic equation:
\left( \sum_{i=1}^{4} w_i a_i \right) x^2 + \left( \sum_{i=1}^{4} w_i b_i \right) x + \left( \sum_{i=1}^{4} w_i c_i \right) = 0
Concrete Worked Example
Consider these four distinct quadratic equations:
- E_1: x^2 + 2x - 3 = 0
- E_2: 2x^2 - x - 1 = 0
- E_3: x^2 - 4x + 3 = 0
- E_4: 3x^2 + x - 2 = 0
Assign weights w_1 = 1, w_2 = 2, w_3 = -1, and w_4 = 1:
- Sum the x^2 coefficients (a_f):
a_f = (1)(1) + (2)(2) + (-1)(1) + (1)(3) = 1 + 4 - 1 + 3 = 7 - Sum the x coefficients (b_f):
b_f = (1)(2) + (2)(-1) + (-1)(-4) + (1)(1) = 2 - 2 + 4 + 1 = 5 - Sum the constant terms (c_f):
c_f = (1)(-3) + (2)(-1) + (-1)(3) + (1)(-2) = -3 - 2 - 3 - 2 = -10
Single Final Derived Equation
7x^2 + 5x - 10 = 0
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