Young's Inequality
ProofPrerequisites
Young’s inequality is the small lever that moves a surprising amount of analysis: it turns a product of two numbers into a sum of their powers, and that single trade is exactly what you need to bootstrap Hölder’s inequality and, through it, Minkowski’s inequality. The proof is one line of convexity once you set it up correctly.
Conjugate exponents
Two real numbers are conjugate exponents when
Equivalently, . The pair is conjugate to itself; is the limiting case usually treated separately. The defining identity says and are weights that sum to — that is what lets us read the proof as a convex combination.
The theorem
Theorem (Young’s Inequality). Let be conjugate exponents and let . Then
with equality if and only if .
Proof via convexity of the exponential
If or the left side is and the right side is non-negative, so holds. Assume therefore .
The key is the exponential function: it is convex on all of , so the two-point case of Jensen’s inequality gives, for any reals and weights summing to ,
Now choose the inputs so the exponentials become and . Using the logarithm, set
Then and , while the argument on the left of collapses:
so . Substituting into yields exactly
The equality case
The exponential is strictly convex, so is an equality if and only if its two inputs coincide: , i.e. . Exponentiating, this is . Hence equality in holds precisely when .
Summary
- Conjugate exponents satisfy ; the two reciprocals act as weights summing to .
- Young’s inequality: for .
- Proof: write and apply convexity of — a single use of the two-point Jensen inequality.
- Equality holds iff , because is strictly convex.
- This inequality is the engine behind Hölder’s inequality.