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Graphing Inequalities Calculator

Graph linear inequalities and find the solution region for systems of inequalities.

What Are Linear Inequalities?

A linear inequality is similar to a linear equation but uses inequality symbols (<, >, ≤, ≥) instead of equals. The solution to a linear inequality is a region of the coordinate plane, not just a line.

Forms:
y > mx + b → Shade above the dashed line
y < mx + b → Shade below the dashed line
y ≥ mx + b → Shade above the solid line
y ≤ mx + b → Shade below the solid line

How to Graph Inequalities

  1. Graph the boundary line (y = mx + b)
  2. Use a dashed line for < or > (boundary not included)
  3. Use a solid line for ≤ or ≥ (boundary included)
  4. Test a point (usually origin) to determine which side to shade
  5. Shade the region containing all solutions

Systems of Inequalities

When graphing a system (multiple inequalities), the solution is the region where all shaded areas overlap. This region satisfies all inequalities simultaneously.

How to Use

Enter the slope (m), y-intercept (b), and inequality type. The calculator determines whether points satisfy the inequality.

Applications

Linear inequalities model real-world constraints: budget limits, production capacities, nutritional requirements, and resource allocation. They form the foundation of linear programming.

Test Point Method

To determine which side of the line to shade, substitute a test point (0,0 if it is not on the line) into the inequality. If it satisfies the inequality, shade that side; otherwise, shade the opposite side.

Frequently Asked Questions

Graph the boundary line (y=mx+b), use dashed for </>, solid for ≤/≥, then shade the appropriate side.
Use a dashed line for strict inequalities (< or >) where the boundary line is NOT part of the solution.
Use a solid line for ≤ or ≥ where the boundary line IS part of the solution.
Test a point (usually 0,0). If it satisfies the inequality, shade that side. Otherwise shade the opposite side.
Multiple inequalities that must all be satisfied simultaneously. The solution is the overlapping shaded region.
They model constraints like budgets (spending ≤ budget), production limits, speed limits, and nutritional requirements.

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