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Verify that the given ordered triple is a solution of the system. Do not use a calculator. \((-3,6,1)\) \begin{aligned}2 x+y-z &=-1 \\\x-y+3 z &=-6 \\\\-4 x+y+z &=19\end{aligned}

Short Answer

Expert verified
The ordered triple \((-3, 6, 1)\) is a solution to the system of equations.

Step by step solution

01

Insert the ordered triple into the first equation

Given the first equation \(2x + y - z = -1\), insert the values from the ordered triple \((-3, 6, 1)\) into this equation. This means substituting \(x = -3\), \(y = 6\), and \(z = 1\). The equation becomes: \[2(-3) + 6 - 1 = -1.\] Simplify the equation: \[-6 + 6 - 1 = -1.\] Therefore, \(-1 = -1\), which verifies the ordered triple is a solution to the first equation.
02

Insert the ordered triple into the second equation

Using the second equation \(x - y + 3z = -6\), substitute \(x = -3\), \(y = 6\), and \(z = 1\). The equation becomes: \[-3 - 6 + 3(1) = -6.\] Simplify this to: \[-3 - 6 + 3 = -6.\] Therefore, \(-6 = -6\), which verifies the ordered triple is a solution to the second equation.
03

Insert the ordered triple into the third equation

For the third equation \(-4x + y + z = 19\), substitute \(x = -3\), \(y = 6\), and \(z = 1\). Substitute to get: \[-4(-3) + 6 + 1 = 19.\] Simplify the equation: \[12 + 6 + 1 = 19.\] Therefore, \(19 = 19\), which verifies that the ordered triple is a solution to the third equation.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Ordered Triples
An ordered triple is a set of three numbers used to represent a point in three-dimensional space. In our case, the ordered triple is \((-3, 6, 1)\). Each number in this set corresponds to a variable in the system of equations:
  • The first number is \(-3\), which we'll assign to \(x\).
  • The second number is \(6\), which will represent \(y\).
  • The third number is \(1\), which is for \(z\).
Ordered triples are useful for identifying specific points in a 3D coordinate space. In the context of a system of equations, they offer a potential solution where the variables meet certain conditions simultaneously. For verification, we substitute these values into each equation in the system to see if they satisfy all of them.
The Role of Algebraic Verification in Systems of Equations
Algebraic verification is the process of checking whether a proposed solution satisfies all the equations within a system. For this, each equation is assessed individually. Let's consider the first equation of the given system, \(2x + y - z = -1\).
To verify the solution \((-3, 6, 1)\), substitute these values into the equation. You'll replace \(x\) with \(-3\), \(y\) with \(6\), and \(z\) with \(1\).
This leads us to:
  • \[2(-3) + 6 - 1 = -1\]
  • Which simplifies to \[-6 + 6 - 1 = -1\]
  • And this confirms \,\(-1 = -1\)\, verifying the solution with this equation.
Engaging in algebraic verification ensures each component of the solution satisfies the respective conditions imposed by all equations involved in the system.
Solution Verification Process
Solution verification refers to the sequential substitution of the proposed values into each equation to verify their correctness. In any system of equations, as we have here, multiple equations describe relationships between different variables.
To confirm \((-3, 6, 1)\) as a solution, we insert these values into each of the system's equations.
Once substituted, each equation should return true, meaning both sides of the equation should balance. Consider the third equation in our example, \(-4x + y + z = 19\). When we substitute our ordered triple, the expression becomes:
  • \[-4(-3) + 6 + 1 = 19\]
  • Which simplifies to \[12 + 6 + 1 = 19\]
  • And checks out with\, \,\( 19 = 19\)\.
This methodical plug-and-check approach ensures each solution's validity, intercepting errors or mathematical oversight.
Solving Using the Substitution Method
The substitution method is one way to solve a system of equations. Here’s how it generally works, although in our exercise the solutions were simply verified rather than solved this way:
Start by solving one of the equations for one variable in terms of the others. This provides an expression you can substitute into the other equations.
For example, suppose we shape an equation around one variable's expression and then use this to replace that variable in the other equations.
  • Take the equation \(x = y - 3z\) (hypothetical for demonstration)
  • Substitute this expression anywhere \(x\) appears in the other equations.
  • Repeat this technique proportionately until all settings portray expressions involving fewer variables until you hit single-variable equations.
Such operations transform multi-variable conundrums into single-variable challenges, making the analyzing and solving process moderately linear and more straightforward.

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Most popular questions from this chapter

Graph the solution set of each system of inequalities by hand. $$\begin{array}{r} -2 < x < 2 \\ y > 1 \\ x-y > 0 \end{array}$$

To analyze population dynamics of the northern spotted owl, mathematical ecologists divided the female owl population into three categories: juvenile (up to 1 year old), subadult (1 to 2 years old), and adult (over 2 years old). They concluded that the change in the makeup of the northern spotted owl population in successive years could be described by the following matrix equation. $$\left[\begin{array}{c} j_{n+1} \\ s_{n+1} \\ a_{n+1} \end{array}\right]=\left[\begin{array}{rrr} 0 & 0 & 0.33 \\ 0.18 & 0 & 0 \\ 0 & 0.71 & 0.94 \end{array}\right]\left[\begin{array}{c} j_{n} \\ s_{n} \\ a_{n} \end{array}\right]$$ The numbers in the column matrices give the numbers of females in the three age groups after \(n\) years and \(n+1\) years. Multiplying the matrices yields the following. $$\begin{aligned} &j_{n+1}=0.33 a_{n}\\\ &s_{n+1}=0.18 j_{n}\\\ &a_{n+1}=0.71 s_{n}+0.94 a_{n} \end{aligned}$$ (Source: Lamberson, R. H., R. McKelvey, B. R. Noon, and C. Voss, "A Dynamic Analysis of Northern Spotted Owl Viability in a Fragmented Forest Landscape," Conservation Biology, Vol. \(6, \text { No. } 4 .)\) (a) Suppose there are currently 3000 female northern spotted owls: 690 juveniles, 210 subadults, and 2100 adults. Use the preceding matrix equation to determine the total number of female owls for each of the next 5 years. (b) Using advanced techniques from linear algebra, we can show that, in the long run, $$ \left[\begin{array}{c} j_{n+1} \\ s_{n+1} \\ a_{n+1} \end{array}\right]=0.98359\left[\begin{array}{c} j_{n} \\ s_{n} \\ a_{n} \end{array}\right] $$ What can we conclude about the long-term fate of the northern spotted owl? (c) In this model, the main impediment to the survival of the northern spotted owl is the number 0.18 in the second row of the \(3 \times 3\) matrix. This number is low for two reasons: The first year of life is precarious for most animals living in the wild, and juvenile owls must eventually leave the nest and establish their own territory. If much of the forest near their original home has been cleared, then they are vulnerable to predators while searching for a new home. Suppose that, due to better forest management, the number 0.18 can be increased to \(0.3 .\) Rework part (a) under this new assumption.

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