Practice: Half-Spaces and Hyperplanes
Question
Recognition · Direct application
A constraint reads
2 hints available, least help first.
Hint 1: Retrieval cue
Substitute the point into the left-hand side and compare the result with 12.
Hint 2: Concept cue
Decide what a closed inequality says about points where the two sides are equal.
Classification · Direct application · Explanation
For each constraint and point below, state whether the point satisfies the constraint, violates it, or lies on its bounding hyperplane. Show the value of the left-hand side in each case, and name the bounding hyperplane.
(a)
(b)
(c)
Write your answer, then compare it with the worked solution.
2 hints available, least help first.
Hint 1: Retrieval cue
For each part, compute the left-hand side at the given point before deciding anything.
Hint 2: Concept cue
The bounding hyperplane is what you get by replacing the inequality sign with an equals sign.
Compare with the worked solution
Comparing does not record a result. Judging your own written answer cannot show that you can do this without help.
(a)
(b)
(c)
The bounding hyperplane. It is the equality case
A complete answer does each of these:
- evaluates constraint
- correct side
- boundary included
- names hyperplane
Error diagnosis · Explanation · Transfer
A student writes:
Each constraint of a linear program is a line, so with five constraints in four variables I can draw the five lines and read off the feasible region. A point exactly on a line is not in the region, because the region is what the lines enclose.
There are two separate errors here. Identify both, correct each one, and state what the constraint
Write your answer, then compare it with the worked solution.
2 hints available, least help first.
Hint 1: Retrieval cue
How many dimensions does one linear equation remove from the space it is written in?
Hint 2: Concept cue
Consider separately what the student says about shape and what they say about points lying exactly on a boundary.
Compare with the worked solution
Comparing does not record a result. Judging your own written answer cannot show that you can do this without help.
First error: the dimension. A single linear equation in
Second error: the boundary. A closed inequality includes the points where the two sides are equal, so a point on the bounding hyperplane is in the feasible region rather than excluded from it. This matters beyond bookkeeping: optima in linear programming characteristically lie on constraint boundaries, so a rule that discards them discards the answers.
What survives the move to higher dimensions is the arithmetic. To test a point, evaluate the left-hand side and compare it with the right; the procedure is identical in two variables and in four hundred.
Naming the boundary. The bounding hyperplane of
A complete answer does each of these:
- evaluates constraint
- correct side
- boundary included
- names hyperplane
Session complete
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