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AlgebraGrades 9–12

Linear Inequalities in Two Variables

A linear inequality in two variables describes a half-plane of solutions separated by a boundary line. Points on the boundary are included for $\le$ or $\ge$ and excluded for $<$ or $>$.

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Half-planes model feasible combinations in budgeting, optimization, design, and systems of constraints. Graphing turns infinitely many solutions into one region.

Intuition and core definition

A linear inequality in two variables describes a half-plane of solutions separated by a boundary line. Points on the boundary are included for $\le$ or $\ge$ and excluded for $<$ or $>$. Every shaded point, not just lattice points, satisfies the inequality.

Notation, language, and conditions

$Ax+By<C$ has boundary $Ax+By=C$. A solid line marks inclusion; a dashed line marks exclusion. In slope-intercept form $y>mx+b$, shading is above the line and $y<mx+b$ shades below, but a test point is safer for general forms.

Why this idea matters

A two-variable linear inequality models an entire feasible half-plane, with its boundary style showing whether equality is permitted.

A dependable method

  1. Replace the inequality symbol with equality and graph the boundary line.
  2. Choose solid or dashed style based on endpoint inclusion.
  3. Select a test point not on the boundary, often $(0,0)$.
  4. Substitute it into the original inequality.
  5. Shade the side containing the test point if true, otherwise the opposite side, and verify another point.

Worked example

Common mistakes

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