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Lecture 13 - Inequalities

Definition

ϕ:(a,b)⊂R→R

is convex if ϕ(λx+μy)≤λϕ(x)+μϕ(y) for any x,y∈(a,b) and λ,μ∈R such that λ+μ=1.
A convex function is necessarily continuous.

Proposition

If ϕ∈C2(I), then ϕ is convex iff ϕ″≥0.

Young's Inequality

If a,b≥0, 1<p,q<∞ and 1p+1q=1 or p+q=pq (q is said to be the conjugate of p), then:

ab≤app+bqq.
Corollary

If a,b>0, 1<p,q<∞ such that p+q=pq, and ϵ>0 there holds:

ab≤ϵpap+1qϵq/pbq
Holder's Inequality

If u,v are measurable functions on Ω∈RN, 1≤p,q≤∞ and 1p+1q=1 then:

∫Ω|uv|≤(∫Ω|u|p)1p(∫Ω|v|q)1q

When p=q=2, Holder's Inequality is equivalent to the Cauchy-Schwarz Inequality.

Minkowski Inequality

If u,v are measurable functions on Ω⊂RN and 1≤p≤∞, then:

||u+v||Lp(Ω)≤||u||Lp(Ω)+||v||Lp(Ω)

Discrete version: let 1p+1q=1, then:

∑k|ak||bk|≤(∑k|ak|p)1p(∑k|bk|q)1q(∑k|ak+bk|p)1p≤(∑|ak|p)1p+(∑|bk|q)1q
Green's Identity

∫Ω(uΔv−wΔu)=∫δΩ∂w∂η−w∂u∂η

If u≡1 then Δu=0, giving us:

∫ΩΔw=∫∂Ω∂w∂η

We want to solve:

(∗)−Δw=f(x),∂w∂η|∂Ω=0

Note: ∂w∂η|∂Ω=0 means the directional derivative restricted to the boundary is equivalently 0.
However integrating over Ω we get:

0=−∫∂Ω∂w∂η=−∫ΩΔw=∫Ωf(x)

So (∗) can only be solved if ∫Ωf(x)=0.