Every Standard Inequality, Placed
With : (six terms with product ). With : (from ).
The constraint tells you how to group: a product constraint suggests AM–GM across terms whose product is a power of it; a sum constraint suggests QM–AM or the identity . Homogenize first when degrees differ — replace a constant by the appropriate power of or — so that the inequality becomes scale-free and the standard tools apply.
Engel (Titu): . Geometric: — so on the unit circle and when .
Engel form is Cauchy–Schwarz with , ; it is the fastest route to bounds on sums of fractions. Equality in Engel: all equal — so the minimizer of has . Write the equality case down before computing; it often IS the answer.
Schur (): ... precisely . SOS: write the difference as with nonnegative coefficients. Smoothing: replace two variables by their mean and show the expression moves the right way.
Schur handles the inequalities AM–GM cannot (it is the one with equality at AND at ). SOS is a systematic finishing move for symmetric three-variable inequalities: expand, group into squares. Smoothing (or "mixing variables") proves that the extremum occurs when variables are equal or when one hits the boundary — reducing a three-variable problem to one variable. These three are the difference between AIME-level and USAMO-level inequality work.
Before any manipulation, guess where equality holds: all variables equal (AM–GM, Jensen, QM–AM), proportional (Cauchy–Schwarz), one variable zero (Schur, boundary cases). A candidate inequality with the wrong equality case cannot be the right tool — this single check saves more time than any technique.
For positive with , prove .
Homogenize: ... simpler: . By AM–GM ; multiply the three: numerator , denominator . Equality at ✓.
Proofs & Why It Matters
For nonnegative : .
By symmetry assume . Group the first two terms: because and (both factors on the left dominate). The third term is a product of nonnegatives. Equality iff or two are equal and the third is — the two-equality-case signature that makes Schur indispensable when AM–GM's single equality case is too restrictive.
For and , the sum is maximized by and minimized by the reversing permutation.
If is not the identity, some has ; swapping the two assignments changes the sum by . Repeated swaps reach the identity without ever decreasing the sum. Significance: Chebyshev's inequality (similarly ordered sequences have ) is rearrangement averaged over all cyclic shifts, and both are the tool when AM–GM's symmetry is broken by an ordering assumption.
Going Deeper: Worked Problems
Prove and use it to show with equality iff .
Step 1 — : a sum of squares.
Step 2 — equality iff every square vanishes iff .
Step 3 — divide by the positive .
Step 4 — the same SOS identity gives and — three inequalities from one line of algebra, all sharing the equality case .
Among nonnegative with , find the maximum of .
Step 1 — test the symmetric point : value . Test a boundary point : . So the maximum is NOT at the symmetric point — smoothing must be done carefully.
Step 2 — fix and set ; the expression is . For it increases with , maximized at ; for it is maximized at .
Step 3 — case : on ; , , and on the interval — max at . Case with : value .
Step 4 — maximum at and permutations. Boundary cases are where symmetric-point intuition fails; smoothing finds them systematically.