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\( 1 \left\{ \begin{array} { l } { - x + 2 y + z = 6 } \\ { 2 x - 3 y - z = - 7 } \\ { 5 y - 6 z = - 8 } \end{array} \right. \)

Ask by Christensen Campbell. in Colombia
Feb 25,2025

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Answer

La solución del sistema de ecuaciones es: - x = 1 - y = 2 - z = 3

Solution

Vamos a resolver el siguiente sistema de ecuaciones:   - x + 2y + z = 6    (1)   2x – 3y – z = -7    (2)   5y – 6z = -8     (3) Paso 1. Despejamos y en función de z a partir de la ecuación (3):   5y – 6z = -8   ⇒ 5y = 6z - 8   ⇒ y = (6z - 8) / 5 Paso 2. Sustituimos y en (1) y (2). En la ecuación (1):   - x + 2((6z - 8)/5) + z = 6 Multiplicamos denominador:   - x + (12z - 16)/5 + z = 6 Para eliminar el denominador, multiplicamos toda la ecuación por 5:   - 5x + 12z - 16 + 5z = 30   - 5x + 17z = 46   ⇒ 5x = 17z - 46   ⇒ x = (17z - 46) / 5    (4) En la ecuación (2):   2x – 3((6z - 8)/5) - z = -7 Multiplicamos por 5 para eliminar el denominador:   10x - 3(6z - 8) - 5z = -35   10x - 18z + 24 - 5z = -35   10x - 23z = -35 - 24   10x - 23z = -59    (5) Paso 3. Sustituimos la expresión de x obtenida en (4) dentro de (5):   x = (17z - 46)/5   10[(17z - 46)/5] - 23z = -59   2(17z - 46) - 23z = -59   34z - 92 - 23z = -59   11z - 92 = -59   11z = -59 + 92   11z = 33   z = 33/11 = 3 Paso 4. Sustituimos z = 3 para encontrar y y x. Para y:   y = (6(3) - 8) / 5 = (18 - 8)/5 = 10/5 = 2 Para x:   x = (17(3) - 46) / 5 = (51 - 46)/5 = 5/5 = 1 Por lo tanto, la solución del sistema es:   x = 1, y = 2, z = 3.

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The Deep Dive

Let's start with the historical background of systems of linear equations. The study of systems of linear equations dates back to ancient civilizations, where methods for solving these systems were developed—most notably by the Greeks and later by Chinese mathematicians in the Han dynasty. The Chinese Remainder Theorem, for example, was used to solve sets of equations with multiple variables. Over time, these methods evolved into more formal techniques like Gauss-Jordan elimination, which are still widely taught today! For real-world application, systems of linear equations appear everywhere, from economics to engineering. For instance, businesses often use them to figure out optimal production levels given constraints such as resources, labor, and costs. Engineers might apply these equations to analyze forces acting on structures or to optimize designs for projects. Solving systems of equations allows for informed decision-making based on interdependent factors—essentially, it helps in problem-solving and optimizing real-life scenarios!

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