Linear Inequalities
Ravi walks into a shop with two hundred rupees to buy rice at thirty rupees a packet. Reshma has a hundred and twenty rupees to split between registers and pens. Neither situation can be captured by an equation, because neither says "spend exactly this much" — both say "spend at most this much." The moment a real constraint involves at most, at least, more than or less than instead of exactly equal to, algebra needs a new tool: the inequality. This chapter builds that tool from the ground up, starting from the four symbols and ending with the machinery used throughout optimisation, statistics, economics and later, in Class 12, linear programming. The chapter has two clean halves. The first half solves linear inequalities in one variable — expressions like — using rules that look almost identical to solving equations, except for one sharp exception: multiplying or dividing by a negative number reverses the inequality sign. That single exception is the intellectual heart of the chapter, and nearly every mistake students make traces back to forgetting it. Solutions are no longer single numbers but entire sets — rays and intervals on the real number line, written with round and square brackets. The second half lifts the same ideas into the plane: a linear inequality in two variables, like , is satisfied not by a set of numbers but by an entire region of the Cartesian plane, a half-plane cut out by the line . When several such inequalities must hold together — a system of inequalities — the answer is the region common to all of them, found by overlaying the half-planes. By the end of this chapter you should be able to solve any linear inequality (single or compound) algebraically, express the answer in interval and number-line form, graph the solution of a two-variable inequality by the test-point method, and identify the common region of a system — skills that feed directly into optimisation problems and are tested regularly in JEE Main.
- An inequality relates two real numbers or algebraic expressions with or ; a linear inequality in one variable has the form (or with ) with .
- Rule 1: adding or subtracting the same number on both sides never changes the direction of an inequality.
- Rule 2: multiplying or dividing both sides by a positive number preserves the direction; multiplying or dividing by a negative number reverses it — this is the one rule that differs from solving equations.
- A compound (double) inequality like is two inequalities joined by "and"; solve by applying the same valid operation to all three parts at once.
- Solution sets are written in interval notation: for , for , for — round brackets for excluded (open circle on the number line), square brackets for included (filled circle).
- A linear inequality in two variables, such as , is satisfied by an entire half-plane; the boundary line is drawn dashed for strict inequalities () and solid for slack ones ().
- The test-point method finds the correct half-plane: substitute any point not on the boundary line (the origin, if the line misses it) into the inequality — if it is satisfied, shade the half-plane containing that point, otherwise shade the other side.
- A system of linear inequalities in two variables is solved by shading each half-plane and taking the region common to all of them — the intersection, sometimes called the feasible or common region.
- Quadratic expressions like are not linear inequalities; this chapter deliberately restricts itself to the linear case, in or .
- Key idea: an inequality behaves exactly like an equation under addition and subtraction, but multiplying or dividing by a negative number flips its direction, and this single rule governs everything from one-variable interval solutions to shading half-planes for systems of inequalities in two variables.
Linear inequalities are solved with the same two rules used for equations, except that multiplying or dividing by a negative number reverses the inequality sign, and in two variables this algebra becomes geometry: each inequality carves the plane into a shaded half-plane along the boundary line , and a system of inequalities is solved by intersecting those half-planes.
What this chapter covers
- Definitions and vocabulary — what an inequality is, the difference between strict () and slack () inequalities, and between numerical, literal and double inequalities.
- The two solving rules — why addition/subtraction never disturbs an inequality, and why multiplication/division by a negative number must reverse it.
- Algebraic solutions in one variable — clearing fractions, collecting terms, and reading off the solution set depending on whether ranges over natural numbers, integers or real numbers.
- Interval notation and the number line — translating , , and compound inequalities like into brackets and into open/closed-circle diagrams.
- Compound inequalities and systems in one variable — solving two inequalities simultaneously and taking the intersection of their solution sets.
- Graphical solution in two variables — the half-plane picture, the test-point method, and dashed-versus-solid boundary lines.
- Systems of inequalities in two variables — overlaying half-planes to find the common (feasible) region.
- Word problems — translating "at least," "at most," "more than," and ranges (marks, mixtures, temperature conversions) into inequalities and solving them.
The core ideas
Inequalities: definitions and types
Definition. Two real numbers or two algebraic expressions related by one of the symbols (less than), (greater than), (less than or equal to) or (greater than or equal to) form an inequality. Statements like or , built from pure numbers, are numerical inequalities; statements like or , involving a variable, are literal inequalities. A statement such as — read " is greater than and less than " — chains two inequalities about the same expression and is called a double or compound inequality. Inequalities that use the strict symbols or are called strict inequalities; those using or , which allow equality as a possibility, are called slack inequalities. An expression of the form
is a linear inequality in one variable, and
is a linear inequality in two variables. where: are fixed real constants (with in (1), and not both zero in (2)), and are the variables. An expression like is a quadratic inequality — genuinely different, because the sign of a quadratic expression can change twice as varies, not once — and this chapter deliberately stays inside the linear case.
The two golden rules for solving inequalities
Solving an equation relies on two familiar moves: add or subtract the same quantity from both sides, and multiply or divide both sides by the same nonzero quantity. Inequalities obey a close cousin of these moves, with one crucial twist.
Rule 1. Equal numbers may be added to or subtracted from both sides of an inequality without affecting the direction of the inequality sign.
Rule 2. Both sides of an inequality may be multiplied or divided by the same positive number without changing the direction of the inequality. But if both sides are multiplied or divided by a negative number, the direction of the inequality is reversed: becomes , becomes , and so on. The asymmetry is easy to see with pure numbers: is true, but multiplying both sides by turns it into and , and since , the sign had to flip to stay true. The full logical justification — not just an example, but a proof that covers every case — is worked out in the first derivation below, because this is the single fact the entire chapter is built on.
Solving in one variable, and where the solution set lives
Given an inequality such as , "solving" it means finding every value of that makes the statement true — its solution set. Crucially, that set depends on which numbers is allowed to be. If must be a natural number, the solution set of (i.e. ) is the finite set ; if must be an integer, it is the infinite set ; and if may be any real number, the solution is the entire ray of real numbers below , written as the interval . Unless a problem restricts to naturals or integers, this chapter — like the rest of algebra — solves over the real numbers by default.
Interval notation is the standard shorthand for such rays and segments: a round bracket means the endpoint is excluded (strict inequality, open circle on a number line), and a square bracket means the endpoint is included (slack inequality, filled circle). So is , is , and a compound inequality like is the half-open interval .
Linear inequalities in two variables: the half-plane picture
An inequality like has two independent variables, so a "solution" is now an ordered pair — a point in the plane — and there are infinitely many such points satisfying it. The boundary case is a straight line, and that line splits the entire Cartesian plane into exactly two half-planes. Every point on one side of the line makes positive, and every point on the other side makes it negative (the proof is the third derivation below); the line itself is where . So the solution region of is precisely one of those two half-planes, and finding which one is a one-point check away. This is the test-point method. Draw the boundary line : dashed if the inequality is strict (, boundary excluded), solid if it is slack (, boundary included). Pick any convenient point not on the line — the origin is the usual choice, unless the line itself passes through the origin, in which case pick another simple point such as . Substitute that point into the inequality: if it is satisfied, shade the half-plane containing the test point; if not, shade the other half-plane.
Systems of linear inequalities in two variables
When several linear inequalities in and must all hold simultaneously — a system of inequalities — the solution is the set of points that lie in every one of the individual half-planes at once. Graphically, shade each half-plane in turn (or just its boundary and direction) and read off the region where all the shadings overlap; this common region is sometimes called the feasible region, a term that becomes central two chapters later in linear programming. If the system also carries and (as it does whenever represent physical quantities like litres or rupees), the feasible region is trapped inside the first quadrant.
Two theorems that make the chapter work
The goal here is to prove Rule 2's sign-reversal from the basic order properties of real numbers rather than to just illustrate it with an example, because this single fact underlies every solving step in the chapter and is exactly where students lose marks when they trust intuition instead of the rule. We start from the trichotomy law — for any two real numbers , exactly one of , , holds — and its immediate consequence that means precisely that is a positive number.
Step 1. Suppose , so by the order property, ; call this positive difference . We want to know what happens to the inequality when both sides are multiplied by some real number .
Step 2. Multiply the true statement by a positive number . Then , and since and , the product of two positive numbers is positive, so , i.e. . The direction is unchanged — this proves the "positive" half of Rule 2.
Step 3. Now multiply the same true statement by a negative number . Again , but now and , and a positive number times a negative number is negative, so , which means , i.e. . The inequality has flipped direction even though we started from the same true statement — this is the rigorous proof of the sign-reversal rule, not merely an example of it.
Step 4. Division by is the same operation as multiplication by , and carries the same sign as (positive stays positive, negative stays negative), so the identical conclusion covers division: dividing both sides by a negative number also reverses the inequality. A quick numeric echo confirms the algebra: but multiplying by gives , and but multiplying by gives — both consistent with Step 3.
Go deeper · Derivation B · 2 minSolving a compound inequality by operating on all three parts at once
The goal is to justify the standard shortcut used on expressions like or , where the same arithmetic step is applied to all three parts simultaneously rather than solving two separate inequalities and intersecting them afterwards — and to show precisely why that shortcut is legitimate rather than a lucky simplification. A compound inequality is, by definition, shorthand for two inequalities joined by "and": and , both of which must be true for the same value of .
Step 1. Because both component inequalities must hold for the same , any operation permitted by Rules 1 and 2 can be applied to and to separately — and since both use the same number and the same rule, applying it once to all three parts , , together produces exactly the same pair of resulting inequalities as applying it to each piece on its own. This is what licenses the "all three parts at once" shortcut.
Step 2. Apply Rule 1 first to remove additive constants. For , add to every part: , giving .
Step 3. Apply Rule 2 to remove the coefficient of . Here the coefficient is , which is positive, so divide every part by without flipping anything: . If the coefficient had been negative, Step 3 would require reversing both inequality signs at once (turning into and into ) and swapping the left and right numbers so the smaller one is written first — this is exactly Derivation 1's rule applied simultaneously to both halves of the chain.
Step 4. Read off the solution set as a single interval: is . The same three-step pattern — clear denominators or fractions first if present, isolate the variable's coefficient with Rule 1, then divide with Rule 2 (watching the sign) — solves any compound linear inequality, including ones with inside a fraction such as , which first needs multiplying every part by before Rule 1 and Rule 2 are applied.
Go deeper · Derivation C · 2 minWhy the test-point method correctly shades the solution half-plane
The goal is to prove that the informal "pick a point and test it" recipe for graphing is not a guess but a guaranteed shortcut, by showing that the sign of is constant across each entire half-plane cut out by the line — so a single test point genuinely settles the fate of every other point on its side of the line. Write ; by definition the boundary line is exactly the set where .
Step 1. Off the line, is never zero (that is the definition of "off the line"), so at every point not on the line, is either strictly positive or strictly negative.
Step 2. A straight line divides the plane into exactly two connected pieces — this is a basic fact of plane geometry, visible from the picture of the line as a single unbroken cut through an unbroken sheet. Call these two pieces the two half-planes.
Step 3. Within one connected half-plane, is a continuous function (it is linear, in fact) that is never zero. If took both a positive value and a negative value at two different points of the same connected half-plane, then — because you can join those two points by a path that stays entirely inside that half-plane, never crossing the boundary line — continuity would force to pass through zero somewhere along that path, which would place a zero of inside the half-plane. That contradicts Step 1, so cannot change sign within a single half-plane: it keeps one constant sign throughout each entire half-plane.
Step 4. Consequently, testing at any one convenient point not on the line reveals the sign of for every point in 's half-plane at once. If , the whole half-plane containing satisfies ; the opposite half-plane satisfies . This is exactly the origin-substitution recipe used throughout the chapter, now justified rather than assumed — and it is why, for , checking only the origin (giving , true) is enough to shade that entire side of the boundary line.
Worked examples
Board level - a double inequality with number-line graph (NCERT Example 9 pattern)
Solve and represent the solution on a number line.
Step 1. The statement is a compound inequality, shorthand for and together. Add to all three parts (Rule 1): , which gives .
Step 2. Divide all three parts by (Rule 2, positive divisor, no sign change): , giving .
Step 3. Write the answer in interval notation and describe the number-line picture: a filled (solid) circle at because it is included, an open circle at because it is excluded, and a solid segment joining them. Answer: the solution set is , i.e. all real with .
Board level - graphing the solution region of a linear inequality in two variables
Draw the graph of the solution set of .
Step 1. Find where the boundary line crosses the axes: setting gives , and setting gives . Draw the line through and ; because the inequality is slack (), the boundary itself is part of the solution, so draw it as a solid line.
Step 2. Pick a test point not on the line — the origin works here, since the line does not pass through it. Substitute into the inequality: , and is true.
Step 3. Because the test point satisfies the inequality, shade the half-plane that contains the origin — the side of the line closer to , including the line itself. Answer: the solution region is the closed half-plane on the origin's side of the line , i.e. every point with .
Competitive level (JEE / NEET) - an acid-mixture inequality with an integer-count twist (extends NCERT Example 13)
A manufacturer has litres of a acid solution. Let litres of a acid solution be added so that the acid content of the resulting mixture is more than but less than . Find the range of , and hence the number of integer litre-values of that satisfy the requirement, given the mixing must also keep the total volume under litres for tank capacity.
Step 1. The total mixture is litres, and its acid content, by volume, is of plus of . Translate "more than " and "less than " of the new total into two simultaneous inequalities: and .
Step 2. Clear the first inequality: , so , giving . Clear the second inequality the same way: , so , giving . Combining both, .
Step 3. Apply the extra tank-capacity constraint , i.e. , which is automatically satisfied by every already below , so it adds nothing new here — a useful check rather than a further restriction; always verify whether an "extra" condition is genuinely binding before folding it in.
Step 4. Count the integers strictly between and : these are , which is values. Answer: , and there are integer litre-values of that satisfy the requirement. Timing note: about ninety seconds. Set up both percentage inequalities together rather than sequentially, clear decimals by multiplying through by immediately, and solve them as one linear pass rather than restarting the algebra twice. The integer count is the classic JEE add-on to an NCERT-style inequality — always subtract-and-add-one for a strict interval with integer endpoints; a slack interval instead would count directly with no adjustment, so check open versus closed before counting.
Common traps
- Forgetting to flip the sign when multiplying or dividing both sides by a negative number — by far the single most common error in the whole chapter, and the reason Derivation 1 exists.
- Flipping only one part of a compound inequality. In , if the coefficient of is negative, both inequality signs must flip, and the numbers must also swap order so the smaller sits on the left.
- Confusing open and closed on the number line or in interval notation — a strict inequality () gives an open circle and a round bracket; a slack inequality () gives a filled circle and a square bracket. Mixing these changes whether the boundary point is actually a solution.
- Losing solutions by restricting the domain silently. The same inequality has a different solution set depending on whether is a natural number, an integer, or a real number — always re-read the question for which set is drawn from before finalising the answer.
- Drawing the boundary line the wrong style. Strict inequalities () need a dashed/dotted boundary because the line itself is excluded; slack inequalities () need a solid boundary because the line is included. Using the wrong style is a common careless mark-loss in graphical questions.
- Testing a point that lies on the boundary line, which gives no information about either side — always check first whether the line passes through the chosen test point (commonly the origin) before substituting.
- Shading the wrong side after a correct test. If the test point satisfies the inequality, shade its side; a surprising number of students shade the opposite side by habit.
- Treating the two-variable chapter like the one-variable chapter. A "solution" to is a whole region of points, not a single ray of numbers — there is no single number line to fall back on.
You should be able to…
- State the definition of an inequality and correctly classify a given statement as strict or slack, and as numerical, literal or double.
- Apply Rule 1 and Rule 2 to solve a linear inequality in one variable, remembering to reverse the sign when multiplying or dividing by a negative number.
- Solve a compound (double) inequality by operating on all three parts simultaneously, and handle the sign-flip correctly when the coefficient of is negative.
- Convert fluently between inequality notation, interval notation, and a number-line diagram with correctly open or closed endpoints.
- Translate a word problem (marks, mixtures, temperature ranges, lengths) into one or more linear inequalities and solve them.
- Graph the boundary line of a two-variable linear inequality with the correct dashed/solid style and use the test-point method to shade the correct half-plane.
- Find and describe the common (feasible) region of a system of two or more linear inequalities in two variables.
- Explain, using the order properties of real numbers, why multiplying by a negative number must reverse an inequality — not just state the rule from memory.
Ask the tutor: if flipping the inequality sign, choosing open versus closed circles, or shading the correct half-plane still feels shaky, ask the AI tutor for a fresh compound inequality and a two-variable system to solve step by step until the pattern clicks.
Why does multiplying or dividing by a negative number flip the inequality sign, in plain language?
Think of the number line: multiplying by a negative number is like reflecting every point through zero, so left and right swap places. A number that used to be smaller (further left) lands further right after the flip, and vice versa, so "smaller" and "larger" swap roles too. The rigorous version of this idea is proved algebraically in this chapter using the fact that a positive number times a negative number is negative — that single fact is enough to show becomes whenever . It is worth re-deriving the small numeric example whenever the rule feels arbitrary, rather than memorising it blindly.
How is solving an inequality different from solving an equation, step by step?
The steps look almost identical — collect like terms, isolate the variable — because Rule 1 (adding or subtracting) never changes direction, exactly like an equation. The only place they diverge is Rule 2: dividing or multiplying by a negative number, which does nothing special to an equation, forces the inequality sign to reverse. So the practical advice is to solve an inequality exactly as you would the corresponding equation, and simply pause and flip the sign at the one moment you multiply or divide by something negative.
Why do inequalities have infinitely many solutions when an equation usually has just one or two?
A linear equation like pins down to a single value because it demands exact equality. An inequality like only demands that one side be smaller than the other, and there are infinitely many real numbers that satisfy "smaller than a given number" — the entire ray . This is exactly why solution sets are described using intervals and shaded number lines rather than single points; the answer to an inequality is a range, not a value.
When graphing a two-variable inequality, why do we test the origin instead of just guessing which side to shade?
Guessing is unreliable because the correct side is not always visually obvious, especially once several inequalities overlap. The origin is simply the most arithmetically convenient point to plug in — substituting usually reduces the inequality to a trivial numeric check like "," which is instantly true or false. If the boundary line happens to pass through the origin (for example ), any other simple point off the line, such as , works exactly the same way; the test-point method itself is proved correct for any off-line point in the third derivation of this chapter.
Are quadratic inequalities like x squared minus 4 greater than 0 covered by the same rules as this chapter?
Not fully. The addition rule (Rule 1) still applies to quadratic inequalities, but Rule 2 cannot simply be transplanted, because you may need to divide by an expression like whose sign itself depends on — you cannot tell in advance whether it is positive or negative. Quadratic and rational inequalities need an extra technique (commonly the sign-chart or wavy-curve method) built on top of what this chapter teaches, which is why this chapter deliberately restricts itself to inequalities where the variable's coefficient is a known constant, not another expression involving .