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Lecture 13 - Inequalities

Definition

ϕ:(a,b)RR

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

Proposition

If ϕC2(I), then ϕ is convex iff ϕ0.

Young's Inequality

If a,b0, 1<p,q< and 1p+1q=1 or p+q=pq (q is said to be the conjugate of p), then:

abapp+bqq.
Corollary

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

abϵpap+1qϵq/pbq
Holder's Inequality

If u,v are measurable functions on ΩRN, 1p,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 ΩRN and 1p, 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(uΔvwΔu)=δΩwηwuη

If u1 then Δu=0, giving us:

ΩΔw=Ωwη

We want to solve:

()Δw=f(x),wη|Ω=0

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

0=Ωwη=ΩΔw=Ωf(x)

So () can only be solved if Ωf(x)=0.