Linear Inequalities for CA Foundation

Solving linear inequalities in one variable, graphing inequalities in two variables, feasible regions and the corner-point idea of linear programming.

Quantitative AptitudePaper 3, Business Mathematics12 MCQs2 lessons2 flashcards3 memory tricks

Practise Linear Inequalities free

What you'll learn

  1. Inequalities in one variable
    Solve linear and double inequalities and show the solution on a number line.
  2. Inequalities in two variables
    Graph inequalities, find the feasible region and optimise a linear function.

Key formulas

|x| < a−a < x < a
|x| > ax < −a or x > a

Concepts explained

Solving linear inequalities

Solve like an equation, but reverse the sign whenever you multiply or divide both sides by a negative number.

What it means

  • Adding/subtracting: sign unchanged.
  • Multiplying/dividing by negative: sign reversed.
  • Double inequality: same operation on all three parts.
  • |x| < a ⇔ −a < x < a; |x| > a ⇔ x < −a or x > a.
Example 1: Flip
  • −2x > 6

Answer: x < −3

Example 2: Double
  • 2 ≤ x + 1 < 5

Answer: 1 ≤ x < 4

Related terms

  • Number line: open circle for <, filled for ≤
  • Interval notation: [1, 4) for 1 ≤ x < 4

Exam tip: Check your answer by substituting one value from your solution set.

Graphing inequalities in two variables

Draw the boundary line, test a point to decide which side to shade, and take the overlap of all shadings as the feasible region.

What it means

  • Solid line for ≤ or ≥; dashed for < or >.
  • (0, 0) is the easiest test point if it isn't on the line.
  • x ≥ 0, y ≥ 0 restrict to the first quadrant.
  • Feasible region: all constraints satisfied together.
Example 1: Test point
  • 2x + 3y ≤ 6; test (0, 0): 0 ≤ 6 true

Answer: Shade the side containing the origin

Example 2: Vertical line
  • x ≥ 3

Answer: Line x = 3 and the right side

Related terms

  • Half-plane: each linear inequality covers one side of a line
  • Bounded region: enclosed feasible region

Exam tip: If the boundary passes through the origin, test (1, 0) or (0, 1) instead.

Linear programming by corner points

The maximum or minimum of a linear objective function over a bounded feasible region occurs at a corner point.

What it means

  • List the corner points (intersections of boundary lines).
  • Evaluate Z at each.
  • Largest value is the maximum; smallest is the minimum.
  • If two corners tie, every point on the edge between them is optimal.
Example 1: Maximise
  • Z = 3x + 2y at (0,0), (4,0), (2,2), (0,3)

Answer: Maximum 12 at (4, 0)

Example 2: Two constraints
  • Maximise 5x + 4y; x + y ≤ 6, x ≤ 4

Answer: 28 at (4, 2)

Related terms

  • Objective function: the quantity to maximise or minimise
  • Constraints: the inequalities that limit choices

Exam tip: Find corners by solving the pairs of boundary equations simultaneously.

Memory tricks

Negative flipsMultiply by a negative and the inequality does a U-turn.

Multiplying or dividing by a negative reverses the inequality.

Solid or dashedEqual allowed → solid line; strictly less or more → dashed, like a road you can't step on.

≤, ≥ solid boundary; <, > dashed boundary.

Corner pointsThe best value hides in a corner: check every corner of the region.

Optimum of a linear objective occurs at a vertex of the feasible region.

Try 3 CA Foundation-style questions

Q1. The boundary of a strict inequality such as 2x + y < 6 is drawn as

  1. a solid line
  2. a shaded strip
  3. a single point
  4. a dashed (broken) line, because points on it are not included
Show answer

Answer: (4) a dashed (broken) line, because points on it are not included

For < or >, the boundary isn't part of the solution, so it's drawn dashed; for ≤ or ≥ it's drawn solid.

Q2. The solution of |x| < 3 is

  1. x < 3
  2. −3 < x < 3
  3. x > 3 or x < −3
  4. x > −3
Show answer

Answer: (2) −3 < x < 3

|x| < a means −a < x < a, so −3 < x < 3.

Q3. Which inequality is satisfied by the point (1, 2)?

  1. 2x + y ≥ 5
  2. x − y > 0
  3. x + y ≤ 4
  4. y < 1
Show answer

Answer: (3) x + y ≤ 4

Substitute: 1 + 2 = 3 ≤ 4 ✓; 2 + 2 = 4 is not ≥ 5; 1 − 2 = −1 is not > 0; 2 is not < 1.

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