Verified Answer :

  • Recognize that the equation \(|x-5|=8\) splits into two linear cases based on the definition of absolute value.
  • Solve the first case, \(x-5=8\), to find \(x=13\).
  • Solve the second case, \(x-5=-8\), to find \(x=-3\).
  • The solution to the equation is \(\boxed{{13, -3}}\).

Explanation

  1. Analysis of the Absolute Value Equation

We are given the absolute value equation \(|x - 5| = 8\). The absolute value function \(|a|\) represents the distance of \(a\) from \(0\) on the number line. Consequently, the expression \(|x - 5| = 8\) means that the distance between \(x\) and \(5\) is exactly \(8\). According to the definition of absolute value, for any real number \(a\) and a non-negative constant \(k\), the equation \(|a| = k\) is equivalent to the two cases: \(a = k\) or \(a = -k\). In this problem, \(a = x - 5\) and \(k = 8\).

  1. Splitting into Two Cases

Based on the property of absolute value equations, we can split the equation \(|x - 5| = 8\) into two separate linear equations:

  1. \(x - 5 = 8\)
  2. \(x - 5 = -8\)

These two equations represent the two points on the number line that are at a distance of 8 from 5.

  1. Solving for x

Now, we solve each linear equation for \(x\):

Case 1:
\[x - 5 = 8\]
Adding 5 to both sides gives:
\[x = 8 + 5\]
\[x = 13\]

Case 2:
\[x - 5 = -8\]
Adding 5 to both sides gives:
\[x = -8 + 5\]
\[x = -3\]
Therefore, the values of \(x\) that satisfy the original equation are \(13\) and \(-3\).

Examples

The concept of absolute value equations like \(|x - 5| = 8\) is useful in real-world scenarios where we care about the distance from a target value, regardless of the direction. For instance, imagine a quality control process for a machine producing metal rods of a specific length, say 5 cm. If the tolerance level is 8 cm, the machine will accept any rod with length \(x\) such that \(|x - 5| = 8\). This means the rods would be either 13 cm or -3 cm (though length must be positive, this model illustrates how absolute value bounds help identify acceptable limits in engineering and manufacturing).