In short
Absolute value inequalities come in two flavours. |x| < a asks "which numbers are less than a units from zero?" — the answer is an interval centred at zero. |x| > a asks "which numbers are more than a units from zero?" — the answer is two rays heading outward. The same patterns extend to |f(x)| < g(x) and |f(x)| > g(x), to the triangle inequality for bounding sums, and to graphical interpretations that turn every inequality into a picture.
A guitar string is in tune when its frequency is within 2 Hz of 440 Hz. Too high or too low and it sounds off. Write that constraint mathematically: |f - 440| < 2. That single inequality captures every acceptable frequency — from 438 Hz to 442 Hz — in one shot.
This is what absolute value inequalities do. Instead of asking "which number is exactly this far from a target?" they ask "which numbers are close enough?" or "which numbers are too far away?" The answer is always an interval (or a pair of rays), and the shape depends on which way the inequality points.
Now flip the inequality. Ask for numbers more than five units from zero:
This time the answer is two separate rays: x < -5 or x > 5. Everything outside the interval [-5, 5]. The number 7 works (distance 7 > 5). The number -10 works (distance 10 > 5). But 3 does not (distance 3 < 5).
These two pictures — the single interval for "less than" and the two rays for "greater than" — are the two fundamental shapes of every absolute value inequality. Everything else is a variation.
The two core patterns
The two absolute value inequality rules
For any real number a > 0:
The same rules hold with \le and \ge in place of < and >, and the intervals become closed at the endpoints.
The "less than" pattern gives a conjunction — both conditions must hold simultaneously, so the answer is an interval. The "greater than" pattern gives a disjunction — either condition suffices, so the answer is two rays (a union of intervals).
Here is a useful mnemonic: "less than" means "close to the centre" (one connected piece), and "greater than" means "far from the centre" (two disconnected pieces). If you remember the shape, you will never confuse the two.
Now extend the pattern. Replace x with a linear expression f(x) = mx + n. The inequality |mx + n| < a still means -a < mx + n < a — you just solve a compound inequality instead of a bare one.
Take |3x - 6| < 9. This gives -9 < 3x - 6 < 9. Add 6 throughout: -3 < 3x < 15. Divide by 3: -1 < x < 5. The solution is x \in (-1, 5).
Take |2x + 1| \ge 7. This gives 2x + 1 \le -7 or 2x + 1 \ge 7. First branch: 2x \le -8, so x \le -4. Second branch: 2x \ge 6, so x \ge 3. The solution is x \in (-\infty, -4] \cup [3, \infty).
Inequalities of the form |f(x)| < g(x)
When the right-hand side is not a constant but a function of x, the pattern still applies — but with a twist. The inequality |f(x)| < g(x) is equivalent to
The second condition is essential. If g(x) \le 0, the inequality |f(x)| < g(x) has no solution in that region — because |f(x)| \ge 0 and a non-negative number cannot be strictly less than a non-positive one.
Consider |x - 2| < x. This becomes -x < x - 2 < x with the additional requirement x > 0.
The left part: -x < x - 2 gives 2 < 2x, so x > 1. The right part: x - 2 < x gives -2 < 0, which is always true. Combined with x > 0: the solution is x > 1, or x \in (1, \infty).
Check: at x = 3, |3 - 2| = 1 < 3. Correct. At x = 0.5, |0.5 - 2| = 1.5 > 0.5. Correctly excluded.
The triangle inequality for real numbers
You met the triangle inequality in Operations and Properties:
This is not just a property — it is the most important inequality involving absolute values in all of mathematics. Its companion, the reverse triangle inequality, is
Together, they let you bound absolute values of sums and differences without computing them exactly. Here is a concrete use. Suppose you know that |x - 3| < 0.01, and you want to bound |x^2 - 9|.
Factor: |x^2 - 9| = |x - 3| \cdot |x + 3|. You already know |x - 3| < 0.01. What about |x + 3|? By the triangle inequality,
So |x^2 - 9| < 0.01 \times 6.01 = 0.0601. Without computing x^2 at all, you bounded how far x^2 can wander from 9 given how close x is to 3.
This kind of reasoning — bounding a complicated expression using the triangle inequality — is the central technique of mathematical analysis. It is how limits, continuity, and convergence are proved. The idea starts here, with absolute value inequalities on the real line.
Graphical interpretation
Every absolute value inequality has a clean graphical reading. The inequality |f(x)| < a asks: where does the V-shaped graph of y = |f(x)| sit below the horizontal line y = a? The inequality |f(x)| > a asks: where does it sit above the line?
This graphical reading works for nonlinear interiors too. If f(x) is quadratic, y = |f(x)| is a "reflected parabola" — the parts of the parabola that dip below the axis get flipped upward. The inequality |f(x)| < a then asks where this reflected graph sits below a horizontal line, which can produce more than one interval. The visual approach is often faster than algebraic case-splitting for complicated expressions.
An interactive view: how the solution set changes
Drag the slider below to change the value of a in the inequality |x - 2| < a. Watch how the solution interval expands as a grows and shrinks to a single point when a reaches zero.
Two worked examples
Example 1: Solve |4x − 8| ≤ 12
This is a "less than or equal" type, so the solution is a closed interval.
Step 1. Apply the core pattern.
Why: the absolute value of 4x - 8 is at most 12, so the expression itself lies between -12 and 12 inclusive.
Step 2. Add 8 to all three parts.
Why: the same-thing-to-all-parts rule for compound inequalities. Adding 8 shifts all three parts by the same amount, which preserves the inequality directions.
Step 3. Divide all three parts by 4 (positive, so no flip).
Why: dividing by a positive number does not change the inequality direction. Each part is divided by the same positive value 4.
Step 4. Write the answer in interval notation.
Result. The solution is the closed interval [-1, 5].
The graph makes the answer visual: the V dips below the horizontal line across exactly one interval, and the boundary points are exactly the solutions of |4x - 8| = 12.
Example 2: Solve |x + 3| > 2x − 1
This is an |f(x)| > g(x) type where the right side depends on x. The approach is to consider two cases based on the sign of x + 3.
Step 1. Identify the critical point. The expression x + 3 changes sign at x = -3.
Why: case-splitting at the point where the interior of the absolute value is zero lets you remove the bars with certainty about the sign.
Step 2. Case 1: x \ge -3. Here |x + 3| = x + 3, so the inequality becomes:
Combined with x \ge -3: the solution from this case is -3 \le x < 4.
Why: both the case condition (x \ge -3) and the inequality solution (x < 4) must hold simultaneously. The intersection is [-3, 4).
Step 3. Case 2: x < -3. Here |x + 3| = -(x + 3) = -x - 3, so:
Combined with x < -3: the solution from this case is x < -3 (since x < -3 is already stricter than x < -2/3).
Why: both conditions are "x less than something." The stricter one is x < -3, so that is all that survives.
Step 4. Combine the two cases. From Case 1: [-3, 4). From Case 2: (-\infty, -3). Their union is (-\infty, 4).
Result. x \in (-\infty, 4), i.e., x < 4.
The picture tells the same story as the algebra: the V-shaped curve stays above the straight line until they meet at x = 4, and beyond that the line wins. The solution is everything to the left of their intersection.
Common confusions
A few traps that catch almost everyone the first time.
-
"|x| < -2 means -2 < x < 2." No. The right side is negative, and no absolute value is ever negative. The inequality |x| < -2 has no solution at all — the solution set is empty. Whenever the bound is negative in a "less than" inequality, stop immediately: the answer is \varnothing.
-
"|x| > a gives x > a and x > -a." It gives x > a or x < -a. The "or" matters. The disjunction produces two rays; a conjunction would produce a single interval, which is the wrong shape. Read "greater than" as "far from the centre" — two pieces, not one.
-
"I can square both sides of any absolute value inequality." Squaring preserves the inequality only when both sides are non-negative. For |f(x)| < g(x), squaring is safe only if g(x) > 0 in the region you are considering. If g(x) can be negative, squaring can introduce extraneous solutions or even flip the direction.
-
"The triangle inequality is an equation: |a + b| = |a| + |b|." It is an inequality. Equality holds only when a and b share the same sign. In general, |a + b| is strictly less than |a| + |b| when the two terms partially cancel.
-
"For |f(x)| < g(x), I only need -g(x) < f(x) < g(x)." Almost — but you also need g(x) > 0. If you forget that condition, you might include values of x where g(x) is zero or negative, giving you a region where no solution can exist.
Going deeper
If you came here to learn how to solve absolute value inequalities and read their solutions as intervals, you have it — you can stop here. The rest of this section is for readers who want to see the triangle inequality in more generality and the connection to epsilon-delta proofs.
The triangle inequality in two dimensions
On the real line, the triangle inequality |a + b| \le |a| + |b| is a statement about distances on a one-dimensional number line. In the plane, the same inequality becomes
where \|\cdot\| is the length of a vector. This is now literally a statement about triangles: if two vectors form two sides of a triangle, the third side (their sum) is shorter than or equal to the sum of the two sides. The equality case is when the two vectors point in exactly the same direction — the triangle collapses into a straight line.
The one-dimensional version you have been using is the special case where all vectors lie along a single line.
Absolute value and limits
The formal definition of a limit in calculus uses absolute value inequalities directly. To say that \lim_{x \to c} f(x) = L means: for every \varepsilon > 0, there exists a \delta > 0 such that
Both conditions are absolute value inequalities. The first says "x is within \delta of c (but not equal to c)." The second says "f(x) is within \varepsilon of L." The triangle inequality is the tool used to prove most limits — the bounding technique from the |x^2 - 9| example earlier in this article is exactly the kind of move that appears in every epsilon-delta proof.
So absolute value inequalities are not just an algebra topic. They are the language in which the foundations of calculus are written.
Absolute value inequalities and interval arithmetic
When you solve |x - c| < r, you get the interval (c - r, c + r). This is the open ball of radius r centred at c on the real line. In one dimension, "balls" are just intervals — but the language of balls, radii, and centres generalises immediately to higher dimensions, where the same inequality \|\mathbf{x} - \mathbf{c}\| < r defines a disk (in 2D) or a sphere (in 3D).
The notation B(c, r) for this interval is standard in analysis and topology. Absolute value inequalities are the entry point to the entire theory of metric spaces.
Where this leads next
Absolute value inequalities connect outward in several directions.
- Absolute Value — Equations — the equation version of the same ideas, where < and > become = and intervals become points.
- Intervals and Inequalities Preview — the notation for intervals, unions, and intersections that this article uses throughout.
- Quadratic Inequalities — when the expression inside the bars is quadratic, the case-split produces quadratic inequalities.
- Operations and Properties — the triangle inequality and the modulus rules that underpin everything on this page.
- Real Numbers and Their Properties — the completeness and order axioms that make the real number line the right setting for these ideas.