Motivation
An inequality is an assertion about order, so its algebra has a direction. Adding the same real number to both sides preserves that direction, whereas multiplication by a negative number reverses it. Multiplication by an expression whose sign is unknown is therefore not a harmless simplification: it is a request to split the argument into cases. The same discipline governs squaring, taking reciprocals, and clearing denominators.
Inequalities serve three related purposes in this course. First, they describe solution sets, often as unions or intersections of intervals. Second, they prove comparisons such as AM-GM and Cauchy-Schwarz, with equality cases that reveal when a bound is sharp. Third, they provide estimates. An exact value may be difficult to compute, but a bound can control a limit, show that a polynomial eventually has a fixed sign, or quantify how close the terms of a sequence are to a proposed limit.
The reliable habit is always the same: record the domain, identify every possible sign change, justify each transformation, and intersect the result with the original domain. A plausible final interval is not a proof unless those obligations have been met.
Solving inequalities: domain before signs
The first task is to preserve the same solution set through each algebraic step. Read the sign of a multiplier before using it.
Definition
Solution set and critical points
The solution set of an inequality is the subset of its domain on which the statement is true. Zeros of the numerator, zeros of the denominator, and breakpoints of absolute values are critical points: between consecutive critical points, the relevant signs are constant. A denominator zero is never admitted, even when an algebraic cancellation seems to remove it.
Theorem
Order laws and safe transformations
For real , trichotomy and transitivity hold. Moreover,
If , multiplication destroys the comparison rather than preserving an equivalent inequality. If and , then and ; the positivity assumption is essential for arbitrary real powers and reciprocals.
Checkpoint
Why is multiplying an inequality by not automatically reversible?
Identify all three possible signs of the multiplier.
Solution · Quick-check answer 1
For the direction is preserved, for it is reversed, and at the multiplier is zero; if it came from a denominator, that point is outside the domain.
Worked example
Three domain-first sign analyses
First solve a rational inequality. The domain excludes , and moving to one side gives
One may instead multiply by , but only after recording .
Next, for ,
Finally, is positive exactly when . On that domain,
The strict inequality excludes the numerator zeros and .
Common mistake
Clearing a denominator of unknown sign
Multiplying by without cases can reverse the inequality or include the forbidden point . Use sign cases, a sign chart, or the positive square after stating the exclusion.
Common mistake
Squaring before controlling signs
From , one cannot conclude without suitable sign information. Likewise, arbitrary real powers require positive bases. Establish nonnegativity or split into cases before using a supposedly monotone operation.
Absolute value: distance and cases
A distance condition turns into intervals on the real line. Triangle inequalities then compare distances without requiring an exact value.
Definition
Absolute value as distance
For a real number , absolute value is defined by
Thus is the distance from to , while is the distance from to . In particular, and , where the square root is the nonnegative one.
Theorem
Absolute-value and triangle inequalities
For real and ,
When , the strict forms are
Absolute value also satisfies
Moreover,
Equality in holds exactly when . For and real , repeated application gives
Equality holds exactly when all summands are nonnegative or all are nonpositive.
Proof. The triangle inequality follows by comparing squares. Because both sides are nonnegative,
Replacing by yields one side of the reverse triangle inequality; swapping and supplies the other side.
Worked example
Piecewise absolute-value inequalities
For , assign each breakpoint to exactly one interval:
Solving within each interval and then taking the union gives
Equivalently, graph the correctly labelled function and compare it with the horizontal line ; the piecewise algebra explains exactly why the same two rays appear.
Two further case analyses give
and, after excluding and respecting the negative denominator,
Common mistake
Losing the logic of absolute value
is not automatically . A small-distance condition produces an intersection, whereas a large-distance condition normally produces a union. Breakpoints must be assigned consistently so that no point is omitted or counted under contradictory formulas.
Checkpoint
Rewrite as a single interval.
Interpret the expression as distance from .
Solution · Quick-check answer 2
The condition is , hence .
Positive sums and nonnegative squares
The next task is to prove a comparison that holds for every admissible input. Positive weights and nonnegative squares make both the direction and the equality case visible.
Theorem
A positive weighted ratio lies between its endpoints
Let , let , and let for . Then
The left inequality is strict if at least one ratio is strictly larger than ; the right inequality is strict if at least one is strictly smaller than . Hence, when and , the ratio of sums lies strictly between the two endpoint ratios. Taking and is legitimate for , because every denominator is positive.
As a basic special case, if and , then , so division by gives .
Proof. The ratio theorem is a useful model for strict endpoint reasoning. From and , one gets term by term. After summation, division by the positive number gives the weak bounds. If at least one lower comparison is strict, its positive gap survives the sum, so the lower bound is strict; the upper endpoint is handled separately in the same way. One must not pretend that every term is strict when an endpoint ratio is actually attained.
Worked example
Nonnegative squares and a strict weighted ratio
For , division by preserves order and gives
Equality holds exactly when . Similarly, for real ,
so , with equality exactly when .
For the ratio theorem, multiply the weak bounds by the positive number and sum. The lower bound becomes strict if at least one ratio exceeds ; separately, the upper bound becomes strict if at least one ratio is below . For example, , , and attain the endpoint ratios and , but their ratio of sums is , strictly between them.
Means, sharp bounds, and equality
Means package several inputs into one representative value. Their inequalities are useful only together with their domains and equality conditions.
Definition
Four classical means
Let . For positive real numbers , define the arithmetic, geometric, harmonic, and quadratic means by
and make sense for arbitrary real inputs; in the AM-GM theorem allows nonnegative inputs; requires positive inputs.
Theorem
AM-GM and weighted AM-GM
For and nonnegative ,
with equality exactly when all inputs are equal. For and ,
again with equality exactly when . Equivalently, if , then
Proof. For a concise proof of general AM-GM, first use calculus to obtain for . If every is positive and , then
Exponentiating gives . Equality forces every . If some input is zero, the geometric mean is zero; the arithmetic mean is nonnegative, and equality is possible only when every input is zero. This handles the zero case before using logarithms or cancelling a positive mean.
Weighted AM-GM is the two-term version with weights. The calculus inequality for and , applied to and then multiplied by , gives . The equality condition becomes .
Worked example
AM-GM applications and two Euler companions
For positive , AM-GM applied to gives
Applying AM-GM to the positive reciprocals gives . Applying it to copies of together with one copy of proves that is strictly increasing. A parallel application to suitable reciprocals proves that is strictly decreasing. Positivity is required throughout; the strictness comes from the entries not all being equal.
More explicitly, the first application has arithmetic mean and geometric mean , so raising a positive strict inequality to the power gives . For the companion, apply AM-GM to copies of and one copy of . Their arithmetic mean is ; raising the strict comparison to the power and then taking positive reciprocals yields .
Weighted AM-GM also yields, for ,
Theorem
Cauchy-Schwarz and the hierarchy of means
For and real ,
Equality holds exactly when the two vectors are linearly dependent, including the case in which one vector is zero. Only for two nonzero vectors may the normalized inner product be interpreted as a cosine. For arbitrary real , Cauchy-Schwarz gives . For positive , the full chain is
and equality throughout occurs exactly when all inputs are equal.
Proof. For Cauchy-Schwarz, dispose of the zero-vector case first. If , consider
Since for every real , its discriminant is nonpositive, which is exactly the stated inequality. Equality means for some , so every .
Worked example
Cauchy-Schwarz in Engel form
When , apply Cauchy-Schwarz to and :
For positive , choosing and gives
The square roots and reciprocals explain why positivity, not mere reality, is part of the hypothesis in this application. Here ; dividing the Cauchy bound by the positive quantity completes the displayed conclusion.
Engel form also solves a cyclic example. If and , then
The last step is AM-GM, and equality throughout requires .
Common mistake
Using a named inequality outside its hypotheses
General AM-GM permits nonnegative inputs, but logarithmic proofs and weighted real powers require positive inputs. HM requires positive denominators; Engel form requires ; the cosine interpretation of Cauchy-Schwarz requires two nonzero vectors.
Checkpoint
For arbitrary real inputs, what stronger estimate involving can replace ?
Apply Cauchy-Schwarz to and .
Solution · Quick-check answer 3
Cauchy-Schwarz gives for arbitrary real inputs. Thus is already valid; the absolute-value bound is stronger. The full chain is stated for positive inputs.
Turning bounds into control
An estimate becomes more powerful when its bound can be made as small or as large as needed. Here the same absolute-value tools control a local limit and the eventual sign of a polynomial.
Definition
A punctured limit
For , the assertion means
The exclusion is encoded by . The number may depend on , but not on the subsequently chosen .
Worked example
Absolute-value estimates and epsilon control
The reverse triangle inequality avoids solving an entire compound inequality:
For the cubic, let . If , then , and hence
The preliminary restriction controls the otherwise variable factor. Any smaller positive also works, so the choice is not unique. For , the related local estimate is
Using a non-strict final bound makes the statement valid also at . If , the choice then gives the required strict estimate.
Theorem
Dominance of the leading polynomial term
Let with . There are numbers such that . Since a polynomial is continuous, the Intermediate Value Theorem then gives a real zero between and . The same dominance argument applies to every odd-degree real polynomial whose leading coefficient is nonzero.
Worked example
Polynomial dominance and a quantitative sequence bound
Let . For ,
Thus, for any , choosing ensures whenever . For , the corresponding estimate is negative once . Continuity therefore gives the real root asserted above, without reusing the coefficient as the name of the root.
For and ,
Consequently, for , the explicit choice
satisfies for every integer . The exponent in remains negative; only its reciprocal appears in .
A related calculus estimate
Calculus also proves : the function decreases to on the negative half-line and increases from on the positive half-line. Thus is its global minimum, and equality occurs only at .
Summary
Solving an inequality is a domain-and-sign argument. Translate all terms to one side, mark numerator zeros, denominator zeros, and absolute-value breakpoints, then test the constant-sign intervals. Squaring or clearing denominators is safe only after its sign conditions are explicit.
For proofs, nonnegative squares lead naturally to the two-variable AM-GM inequality, triangle inequality, and many elementary comparisons. General AM-GM, weighted AM-GM, and Cauchy-Schwarz package those ideas into reusable bounds. Equality conditions are part of each theorem, not optional decoration. Finally, triangle estimates turn local information into epsilon control, while leading-term estimates govern polynomials and sequences.
Exercises
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For every integer , prove by induction that .
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For distinct positive , prove for every positive integer . Then prove and use it to show that is strictly increasing.
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Prove Bernoulli's inequality for and positive integers . State when equality occurs.
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Solve in two ways: by sign cases and by multiplication with a positive square. Explain why is excluded in both arguments.
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Solve and , recording every breakpoint and forbidden value.
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Use AM-GM to prove for positive , and determine the equality case. Also prove for positive inputs.
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Prove Engel's form of Cauchy-Schwarz for real and positive . Then apply it with and , where .
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For positive , prove .
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Let . For , find a such that implies .
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For , prove for , then give an explicit such that for all , where .
Solutions
Solution · Solution 1
The base case is , because both sides are positive and . Suppose the claim holds for . Multiplication by the next positive factor reduces the induction step to
After squaring positive quantities, the right side exceeds the left because . This proves the step and hence the result.
Solution · Solution 2
Factor the first difference:
Because and have the same nonzero sign, this is positive. For the second claim, the base case is equivalent to . If it holds at , then the positive difference
places the desired left side below times the induction-hypothesis left side, hence below . Finally set and , then divide the resulting positive factors to obtain .
Solution · Solution 3
For there is equality. If , then , so
Thus induction proves the claim. Equality holds for every when , and also for every admissible when ; for , equality requires .
Solution · Solution 4
On , multiplying by gives . On , multiplication reverses the sign and gives , so the entire interval remains. Alternatively, after imposing , multiplication by gives . Both methods yield .
Solution · Solution 5
Split the first problem at . On , it becomes ; on , the resulting quadratic is always positive. The answer is or . For the second problem, must be negative, so ; splitting again at leaves only .
Solution · Solution 6
The three positive terms have product , so their arithmetic mean is at least . Equality requires , hence . Applying AM-GM to gives ; positivity permits reciprocation, yielding .
Solution · Solution 7
Apply Cauchy-Schwarz to and to obtain Engel's bound. With the stated trigonometric substitution, every cosine is positive, so it gives
Here the identity supplies the displayed form.
Solution · Solution 8
By two-variable AM-GM, , , and . Adding and dividing by gives the result. Equality in all three comparisons requires .
Solution · Solution 9
If , then , and therefore . Take ; since , the preliminary condition is satisfied, and the final estimate is strictly less than .
Solution · Solution 10
For , and . Hence . Taking gives and therefore the required estimate for all .