Summary
This lesson carries the study of inequalities into the plane. It proves that a line divides the plane into two half-planes, on each of which the linear expression defining it keeps its sign, and from this it derives the test point method. It describes the solution region of a system of linear inequalities as an intersection of half-planes, with its vertices, and proves that it is convex; it then studies regions bounded by conics. It ends with linear programming: the search for the maximum or the minimum of a linear function over a polygonal region, whose fundamental theorem ensures that on a bounded convex polygon both are attained at vertices and that, on an unbounded region with some vertex, every optimum that exists is also attained at one of them, and with production, diet and transport problems.
Learning objectives
- Represent the solution set of a linear inequality in two variables as a half-plane, open or closed, by means of a test point.
- Determine the solution region of a system of linear inequalities, its vertices and whether it is bounded or unbounded, and justify its convexity.
- Describe by inequalities regions bounded by lines and conics, and represent the regions so described.
- Set up and solve linear programming problems in two variables with the vertex theorem and level lines, distinguishing a unique optimum, multiple optima and the absence of an optimum.
Half-planes
In the lesson on the equation of a line it was seen that every line is the set of points satisfying an equation , with and not both zero: if , one solves to get , a line with slope ; if , the equation reduces to , a vertical line. If an inequality is required instead of the equality, the solution set is no longer a curve and becomes a region. In the lesson on first-degree equations and inequalities, a linear inequality in one unknown had an interval of the real line as its solution; with two unknowns, the solution is a half-plane.
Let be a non-vertical line and let be a point. We say that lies above if is greater than the ordinate of the point of with abscissa , and below if it is less. If is vertical, one speaks in the same way of the points lying to its right and to its left. Each of these two sets is an open half-plane with boundary ; if the line is added to it, it is a closed half-plane.
Let be the line , with and not both zero, and let . The expression has constant sign on each side of : it is positive at all points of one of the two open half-planes and negative at all points of the other. More precisely, if , it is positive above and negative below; if , the other way round; and if , it is positive to the right of when , and to its left when .
Proof
Let be a point not on , and suppose first that . The vertical line through meets at a single point , whose ordinate is obtained by solving for in the equation of ; the point satisfies that equation.
We subtract this zero from the value of at : the terms in and the constants cancel, and a product remains.
If , by the rule of signs studied in the lesson on sign charts and inequalities, the product has the sign of : it is positive when lies above and negative when it lies below.
If , the product has the sign opposite to that of : the expression is negative above and positive below.
If , then and is the vertical line , with . The computation is repeated with the point of that has the ordinate of .
If , the expression is positive exactly when , that is, to the right of ; if , to its left. In all cases the sign of at a point depends only on the side of on which the point lies.
The theorem says more than is used in practice: there is no need to remember which sign corresponds to each side, because it is enough to know the sign of at a single point of one side to know it at all of them. This is the test point method.
To represent an inequality , or one with , or , one draws the line and computes the value of the expression at a test point not on it, usually the origin. If the point satisfies the inequality, the solution set is the half-plane containing it; if not, it is the other one. If the inequality is strict, the line does not belong to the solution set and is drawn dashed; if it is not, the line belongs to it and is drawn solid.
Represent the solution set of the inequality .
Proof
We draw the boundary line through the points where it meets the axes: with we get , and with , .
The origin is not on the line. We compute the value of the expression there: it is positive, so the origin satisfies the inequality.
The solution set is the half-plane containing the origin. The theorem confirms it: since , the expression is positive below the line.
The inequality is strict: the points of the line, such as , make the expression zero and do not satisfy it. The boundary is excluded and is drawn dashed.
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