Understanding Absolute Value Inequalities
Absolute value inequalities are straightforward once you stop overthinking them. The key is understanding that |x| represents distance from zero on the number line. When you see |x| < 5, you are asking: which numbers are less than 5 units away from zero? The answer is all numbers between -5 and 5. When the inequality flips to |x| > 5, you want numbers more than 5 units away, which means x < -5 or x > 5. The method depends on whether you have a less-than or greater-than sign. For less-than inequalities like |2x - 3| 7, you split it into a compound inequality: -7 2x - 3 7. Add 3 to all three parts, then divide by 2. You get -2 x 5. That is it. The answer is a single continuous interval. For greater-than inequalities like |3x + 1| > 4, you split into two separate cases: 3x + 1 > 4 OR 3x + 1 < -4. Solve each one independently. First case gives x > 1. Second case gives x < -5/3. The solution set combines both: x < -5/3 or x > 1.
I remember hitting a tricky edge case last year when a student gave me |x - 2| + 3 < 1. My instinct was to isolate the absolute value first, getting |x - 2|
-2. Then I realized the mistake immediately: absolute value can never be negative, so this inequality has no solution. Nothing works here. I made them graph it instead, which visually proved the point instantly. Watch out for another common trap: when the inequality sign changes direction. If you multiply or divide by a negative number while solving, flip the inequality. This catches people every time. Take |1 - 2x| > 3. Subtract 1 first: -2x > 2 or -2x < -4. Now divide by -2, remembering to flip both signs: x < -1 or x > 2. Some students prefer the case method where they assume the expression inside is positive or negative. This works fine too. For |x + 2| 6, you consider x + 2 0 (giving x 4) and x + 2 < 0 (giving x > -8). Combined: -8
x 4. Same answer, different path.
The real-world application shows up in tolerance specifications. If a machinist needs a part within 0.05mm of 10mm, the inequality |d - 10| 0.05 describes acceptable dimensions. Solve it and you get 9.95 d 10.05. Manufacturing teams use this kind of thinking constantly. When you hit nested absolute values like ||x| - 1| < 2, take it layer by layer. Set u = |x|. Now solve |u - 1| < 2, which gives -1 < u < 3. Substitute back: -1 < |x| < 3. Since |x| is always non-negative, the lower bound -1 < |x| is automatically satisfied. You are left with |x| < 3, giving -3 < x
3. Graphing calculators help verify answers but can mislead if you pick the wrong window. Always double-check boundary points by substituting them back into the original inequality. At x = 5 in our first example |2(5) - 3| = 7, which equals the boundary, so the closed bracket is correct. At x = -2: |2(-2) - 3| = |-7| = 7, also on the boundary.
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Systems of absolute value inequalities just require finding the overlap region. Graph both on the same number line and shade the intersection. This technique transfers directly to optimization problems in linear programming. If you struggle with the logic, draw a number line. Mark the critical points where the expression equals zero, test values in each interval, and record which regions satisfy the inequality. This visual approach eliminates sign errors for most people.
