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What is slack inequality?

Published in Mathematics 2 mins read

Slack inequalities are mathematical expressions using the "less than or equal to" (≤) or "greater than or equal to" (≥) symbols to show a relationship between two values or expressions that are not strictly equal but can be equal.

Understanding Slack Inequalities

Unlike strict inequalities (using < or >), slack inequalities allow for the possibility of equality. This is crucial in many real-world applications, such as optimization problems and constraint modeling.

Key Features

  • Symbols: The primary symbols are ≤ (less than or equal to) and ≥ (greater than or equal to).
  • Non-Strict: They indicate that one value is either less than or equal to, or greater than or equal to, another value.
  • Flexibility: Slack inequalities provide more flexibility than strict inequalities when modeling constraints.

Examples

  • x ≥ 15: This means "x is greater than or equal to 15." X can be 15, 16, 17, and so on.
  • y ≤ 9: This means "y is less than or equal to 9." Y can be 9, 8, 7, and so on.
  • 2a + 3b ≤ 20: This is a more complex example where a linear combination of a and b is constrained to be less than or equal to 20.

Applications

Slack inequalities are heavily used in:

  • Linear Programming: Defining constraints within which an objective function is to be optimized. For example, a factory might have constraints on the amount of raw materials it can use, expressed as slack inequalities.
  • Optimization Problems: Modeling limitations and boundaries within which a solution must reside.
  • Real-World Modeling: Representing scenarios where a value cannot exceed a certain limit or must be at least a certain value.

Comparison Table

Feature Strict Inequality (<, >) Slack Inequality (≤, ≥)
Equality Allowed No Yes
Flexibility Less More
Examples x < 5, y > 10 x ≤ 5, y ≥ 10

In summary, slack inequalities are mathematical relationships denoted by ≤ and ≥ that allow for the possibility of equality, providing greater flexibility in modeling constraints and optimization problems compared to strict inequalities.

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