Solving Linear Equations
Learning goals
- Treat an equation as a condition each number passes or fails
- Classify it as conditional, an identity, or a contradiction
- Distinguish a reversible step from one needing a check
- Reduce every linear equation to
- List excluded values before clearing denominators
An equation is a condition, not a statement
Read literally and it looks like a claim: three times something, plus five, equals seventeen. But the something is unknown, so the claim is not yet true or false. It becomes a definite claim only once you choose a value for . Put into it and you get , which is true. Put into it and you get , which is false. An equation in is therefore not a single statement at all. It is a condition on , a test that each real number either passes or fails.
The numbers that pass are the only thing solving is ever after. The solution set of an equation is the set of all real numbers that make it true. We write it with set braces, so the solution set of is , the set whose only member is . Two symbols will recur. The symbol stands for the set of all real numbers, every number on the number line. The symbol stands for the empty set, the set with no members at all, which is what we write when nothing passes the test.
Sorting equations by their solution set gives exactly three kinds.
An equation is conditional when it is true for some values of but not others, so its solution set is neither empty nor all of . Every equation you ever solved for a numerical answer was conditional. For instance is conditional, with solution set .
An equation is an identity when it is true for every real number, so its solution set is all of . For instance holds no matter what is, because the two sides are the same expression written two ways.
An equation is a contradiction when it is true for no real number, so its solution set is . For instance can never hold, since a number cannot equal one more than itself.
This reframes what the word solve means. To solve an equation is to describe its solution set, not merely to “find .” For a conditional equation with a single solution the two sound identical, and writing is a fine shorthand for “the solution set is .” But for an identity the honest answer is “every real number,” and for a contradiction it is “no solution, .” An equation with no single number to report still has an answer. The answer is a description of the set.
Equivalent equations and the one safe move
Solving works by replacing a hard equation with an easier one that has the same solution set, then repeating until the set can be read off at a glance. Two equations are equivalent when they have exactly the same solution set. The equation is equivalent to because both have solution set . The whole job of solving is to travel from to through a chain of equivalent equations.
So the central question of this entire chapter is narrow and precise: which operations on an equation are guaranteed to produce an equivalent one? The answer is a single word, reversible. A step you can undo is guaranteed to produce an equivalent equation, and here is why that one word carries the guarantee.
Why a reversible step preserves the solution set#
Suppose an operation turns an equation into an equation , and suppose that same operation can be undone by a reverse step that turns back into . Take any solution of . Doing the same thing to two equal numbers leaves them equal, so applying the operation keeps the equation true at , which means is also a solution of . Every solution of therefore survives into .
Now run the reverse step. It turns back into by the same kind of move, so by the identical reasoning every solution of is a solution of . Neither equation has a solution the other lacks, so their solution sets are equal and the two equations are equivalent.
The reverse step did real work in that argument. Without it we could only conclude that every solution of carries into , and might still carry extra solutions that never had. Reversibility is exactly the guarantee that no extras appear and that nothing is left behind.
Two familiar moves are reversible for every real number, so both are always safe. Adding the same quantity to both sides is undone by subtracting it, as long as the quantity is defined for every . Adding a constant like , or a whole expression like , is fine, because and are defined for every real number and can be subtracted straight back. (Adding something like would not qualify, since it is undefined at .) Multiplying both sides by the same nonzero constant is undone by dividing by it, and dividing by a nonzero constant is undone by multiplying. The word nonzero is the whole point: multiplying both sides by turns every equation into , which is true for all . The new equation keeps no record of where you started, so the step cannot be reversed.
The trouble starts when the thing you multiply or divide by is not a constant but an expression that can equal zero. Then the step is reversible for most values of but not all, and the exceptions are exactly the solutions that get gained or lost.
Multiplying both sides by an expression that can be zero can add solutions. Multiply both sides of an equation by . Wherever the step is reversible, since you can divide by to undo it, so those solutions stay safe. But at the multiplier is zero, and the new equation reads there whether or not solved the original. So can slip into the new solution set without belonging to the old one. A value that solves the new equation but not the original is called extraneous, and it is always found among the zeros of whatever you multiplied by.
Dividing both sides by an expression that can be zero can destroy solutions. Consider . Its solution set is , because means , that is , which holds exactly when or . Now divide both sides of by . You get , whose solution set is just . The solution has vanished, and no wonder: dividing by is legal only when , so the step quietly threw away the very value it could not handle. A solution removed by an illegal step is a lost solution.
A reversible step always preserves the solution set exactly, which is the guarantee just proved. A step you cannot undo is not automatically wrong; it is merely not guaranteed to be safe. That missing guarantee is the real reason such a step’s candidates have to be checked at the end rather than trusted. When a step you cannot undo does change the solution set, there are only two ways the set can change, and they are mirror images. Multiplying by something that is zero at a point, where the inverse fails, can add an extraneous solution there. Dividing by something that is zero at a point, where the step itself is illegal, can lose a solution there. Added roots and lost roots are the only changes a step can make, so every safe-solving rule you meet is really a way of ruling one of them out.
Check your understanding
A student solves by dividing both sides by , gets , and reports that as the only solution. Which solution did that step destroy?
Never divide by a quantity that can be zero. Move everything to one side and factor instead.
The product is zero when or , so the full solution set is . Dividing by assumed , which silently discarded .
Every linear equation becomes ax = b
A linear equation in one variable is one you can put in the form using only safe moves, and two different kinds of move are at work. Distributing across parentheses and combining like terms are rewrites of a single side: they replace an expression by an equal one, justified by the distributive law and by arithmetic. Both rewrites are safe because after the rewrite the two sides still name the same number for every , so the solution set cannot change. Moving a variable term or a constant to the other side is the second kind. That move adds the same expression to both sides, a reversible operation of the sort proved safe above. Both kinds preserve the solution set, for these two different reasons. Whatever tangle you start with, they collect it into
where and are specific real numbers. This single form settles the equation completely, and there are exactly three cases according to whether is zero.
The three cases of #
Start from with and fixed real numbers.
If , divide both sides by . This is a safe move because is a nonzero constant, and it gives the single value . The solution set is , exactly one number, so the equation is conditional.
If and , the equation reads , that is with not zero. The left side is for every , so it never equals the nonzero , and no value of works. The solution set is , so the equation is a contradiction.
If and , the equation reads , that is . This is true for every , so the solution set is all of , and the equation is an identity.
Those three cases are exhaustive, because either or it is not, and when it is zero either or it is not. So a linear equation always has exactly one solution, or no solution, or every real number as a solution. It can never have exactly two. This is the same conditional, contradiction, identity trichotomy as before, now read straight off the two numbers and .
Reducing to is not busywork. It is the whole classification packed into two letters. The next lesson lets and be built from other letters, solving a formula for one of its variables. The only real question is then which of these three cases you land in as those letters change.
Worked example 1 Solve
Distribute and combine like terms on the left:
Subtract from both sides and then subtract , collecting the equation into the form :
Here , which is nonzero, so divide by it:
The equation is conditional, with the single solution , so the solution set is .
Worked example 2 Solve
Clear the parentheses on the left, watching the sign on the :
Combine the like terms on the left:
Subtract from both sides, and every cancels at once:
This is the case , : the reduced form is . No value of can make equal , so the solution set is and the equation is a contradiction.
Worked example 3 Solve
Distribute on the left:
The two sides are identical. Subtract from both sides and then add :
This is the case , : the reduced form is , true for every real number. The solution set is all of , and the equation is an identity. Notice that a single true line like reports infinitely many solutions, while a single false line like reports none. The reduced form tells you which.
Check your understanding
After simplifying both sides, an equation becomes . What is its solution set?
Subtracting from both sides leaves a statement with no variable left.
That is true for every value of , the case and , so the equation is an identity and the solution set is .
Clearing denominators changes the domain
Equations with the variable in a denominator are solved by multiplying both sides by the least common denominator to clear the fractions. That is convenient, but look at what kind of move it is. The denominators can be zero, so multiplying by them is the very “multiply by an expression that can be zero” step that adds extraneous solutions. Clearing denominators is the single most common place extraneous roots appear.
The fix is to respect the domain of the original equation. A fraction is undefined when its denominator is zero, so any value that makes a denominator zero is excluded. An excluded value is not eligible to be a solution, no matter what the algebra says later. The discipline is short. First, before clearing anything, list the excluded values. Then clear the denominators and solve the resulting equation. Finally, check each candidate against the excluded list and throw out any that appears there, because those are extraneous.
Return to the equation that opened the lesson, . The denominator is zero at , so is excluded from the domain before we touch the algebra. Multiplying both sides by gives , the one candidate. But is exactly the excluded value, so it is extraneous and gets discarded. Nothing survives, and the solution set is . The equation genuinely has no solution: for every where the two sides are even defined, the only way they could be equal forces , which is not allowed. That clean step was true only about the cleared equation, not the original, and the domain is what told them apart.
Worked example 4 Solve
The denominator is zero at , so record as excluded before clearing anything.
Multiply both sides by . On each side the denominator cancels:
Solve the linear equation:
The one candidate is , but that is the excluded value, so it is extraneous and must be discarded. No candidate remains, so the solution set is . The equation has no solution.
Worked example 5 Solve
Two denominators can be zero, at and at , so exclude and before clearing.
Multiply both sides by the least common denominator . On the left the cancels, and on the right the cancels:
Distribute and solve:
The candidate is not on the excluded list, so it survives. Check it in the original: the left side is and the right side is , which agree. The solution set is .
Worked example 6 Solve
The denominator is zero at , so exclude before clearing.
Multiply both sides by . On the left the denominator cancels and leaves the numerator, and on the right the factor appears:
The right side expands to , so the equation reduces to , true for every :
The cleared equation is an identity, but the original still excludes . So every real number except is a solution, and the solution set is all of with the single point removed. This is the third rational outcome: not one solution and not none, but the whole line missing one excluded point.
Check your understanding
Before clearing denominators in , which values must be excluded from the domain?
A fraction is undefined where its denominator is zero, so set each denominator to zero.
So and are excluded before any clearing, and any candidate equal to one of them would be extraneous.