Quasiconvexity (calculus of variations)

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In the calculus of variations, a subfield of mathematics, quasiconvexity is a generalisation of the notion of convexity. It is used to characterise the integrand of a functional and related to the existence of minimisers. Under some natural conditions, quasiconvexity of the integrand is a necessary and sufficient condition for a functional :W1,p(Ω,m)uΩf(x,u(x),u(x))dx to be lower semi-continuous in the weak topology, for a sufficient regular domain Ωd. By compactness arguments (Banach–Alaoglu theorem) the existence of minimisers of weakly lower semicontinuous functionals may then follow from the direct method.[1] This concept was introduced by Morrey in 1952.[2] This generalisation should not be confused with the same concept of a quasiconvex function which has the same name.

Definition

A locally bounded Borel-measurable function f:m×d is called quasiconvex if B(0,1)(f(A+ψ(x))f(A))dx0 for all Am×d and all ψW01,(B(0,1),m) , where Template:Math is the unit ball and W01, is the Sobolev space of essentially bounded functions with essentially bounded derivative and vanishing trace.[3]

Properties of quasiconvex functions

  • Quasiconvex functions are locally Lipschitz-continuous.[5]
  • In the definition the space W01, can be replaced by periodic Sobolev functions.[6]

Relations to other notions of convexity

Quasiconvexity is a generalisation of convexity for functions defined on matrices, to see this let Am×d and VL1(B(0,1),m) with B(0,1)V(x)dx=0. The Riesz-Markov-Kakutani representation theorem states that the dual space of C0(m×d) can be identified with the space of signed, finite Radon measures on it. We define a Radon measure μ by h,μ=1|B(0,1)|B(0,1)h(A+V(x))dx for hC0(m×d). It can be verified that μ is a probability measure and its barycenter is given [μ]=id,μ=A+B(0,1)V(x)dx=A. If Template:Math is a convex function, then Jensens' Inequality gives h(A)=h([μ])h,μ=1|B(0,1)|B(0,1)h(A+V(x))dx. This holds in particular if Template:Math is the derivative of ψW01,(B(0,1),m×d) by the generalised Stokes' Theorem.[7]


The determinant detd×d is an example of a quasiconvex function, which is not convex.[8] To see that the determinant is not convex, consider A=(1000)andB=(0001). It then holds detA=detB=0 but for λ(0,1) we have det(λA+(1λ)B)=λ(1λ)>0=max(detA,detB). This shows that the determinant is not a quasiconvex function like in Game Theory and thus a distinct notion of convexity.

In the vectorial case of the Calculus of Variations there are other notions of convexity. For a function f:m×d it holds that [9] f convexf polyconvexf quasiconvexf rank-1-convex.

These notions are all equivalent if d=1 or m=1. Already in 1952, Morrey conjectured that rank-1-convexity does not imply quasiconvexity.[10] This was a major unsolved problem in the Calculus of Variations, until Šverák gave an counterexample in 1993 for the case d2 and m3.[11] The case d=2 or m=2 is still an open problem, known as Morrey's conjecture.[12]

Relation to weak lower semi-continuity

Under certain growth condition of the integrand, the sequential weakly lower semi-continuity (swlsc) of an integral functional in an appropriate Sobolev space is equivalent to the quasiconvexity of the integrand. Acerbi and Fusco proved the following theorem:

Theorem: If f:d×m×d×m,(x,v,A)f(x,v,A) is Carathéodory function and it holds 0f(x,v,A)a(x)+C(|v|p+|A|p). Then the functional [u]=Ωf(x,u(x),u(x))dx is swlsc in the Sobolev Space W1,p(Ω,m) with p>1 if and only if f is quasiconvex. Here C is a positive constant and a(x) an integrable function.[13]

Other authors use different growth conditions and different proof conditions.[14][15] The first proof of it was due to Morrey in his paper, but he required additional assumptions.[16]


References

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