Graphing Inequalities on a Number Line

Visualize inequalities on a number line with open/closed endpoints and interval notation.

Enter Inequality

Result

Interval Notation
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Step-by-Step Solution

x > 3 means all values strictly greater than 3

Understanding Inequalities on a Number Line

Graphing inequalities on a number line is a fundamental skill in algebra. It provides a visual representation of all values that satisfy an inequality, making it easier to understand solution sets and communicate mathematical relationships.

Types of Inequalities

Strict Inequality (>, <)

Uses an open circle at the boundary point to indicate it is NOT included.

x > 3: open dot at 3, shade right

Non-strict Inequality (≥, ≤)

Uses a closed (filled) circle at the boundary point to indicate it IS included.

x ≤ -2: closed dot at -2, shade left

Compound Inequality

Combines two inequalities to define a bounded interval on the number line.

-2 ≤ x < 5: closed at -2, open at 5

Interval Notation

Parentheses ( ) for open endpoints, brackets [ ] for closed endpoints.

(-inf, 3) or [-2, 5) or [0, inf)

How to Graph Inequalities

  1. Identify the boundary point(s) from the inequality.
  2. Determine whether each endpoint is open or closed based on the inequality symbol.
  3. Draw the number line and mark the endpoint(s).
  4. Shade the region representing all solutions.
  5. Write the solution in interval notation.

Open vs Closed Dots

An open dot (hollow circle) means the endpoint is NOT part of the solution. This occurs with strict inequalities (< and >). A closed dot (filled circle) means the endpoint IS part of the solution. This occurs with non-strict inequalities (≤ and ≥).

Interval Notation Conventions

Interval notation uses brackets and parentheses to express solution sets concisely. Use parentheses for open endpoints and infinity, and brackets for closed endpoints. Examples: (3, +infinity), (-infinity, -2], [-2, 5), [0, 10].

Applications

  • Solving algebraic equations with inequality constraints
  • Defining domain and range of functions
  • Optimization problems in economics and engineering
  • Statistics and probability (confidence intervals)
  • Real-world constraints (speed limits, temperature ranges)