R E S E A R C H
Open Access
Direct methods in the calculus of variations
for differential forms
Tingting Wang
*, Gejun Bao and Guanfeng Li
*Correspondence:
Department of Mathematics, Harbin Institute of Technology, Harbin, 150001, P.R. China
Abstract
The purpose of this paper is to establish the general theory of the direct methods to functionalsIdefined on the Grassmann algebra employing the classical approaches. In this paper, various notions of convexity conditions for weak lower semicontinuity of
Iare discussed, and existence theorems for minimizers ofIare obtained. Lastly, we present some examples to illustrate our main results.
MSC: 35A15; 58A10
Keywords: weak lower semicontinuity; differential forms; variational problem; direct methods; existence theorem
1 Introduction
Differential forms as invaluable tools have been available and applicable to various fields of study, see [–], while the systematic investigation of variational theory for differential forms has been less studied. Direct methods is a classical and fundamental method, used in variational problems, which has been widely applied for solving differential equations that possess variational structure, see [–]. More precisely, direct methods work for the minimization problem for certain energy functionalsI, whose critical points are usually related to solutions of certain differential equations. Various conditions for the existence of minimizers ofIhave been greatly studied, see [–].
This paper is intended to generalize and apply the classical direct methods in variational problems for differential forms with an aim to enlarge the range of applications of the variational principle. Our work is motivated by Iwaniec and Lutoborski [], who first used differential forms to express variational problems.
Letbe a nonempty, bounded, open subset ofRn. Suppose that integers ≤l
, . . . ,lm≤
nandW:∧l× · · · × ∧lm→ ∧nis a continuous function satisfying the growth condition
Wξ, . . . ,ξm≤Cξp+· · ·+ξmpm (.)
for allξ = (ξ, . . . ,ξm)∈ ∧l× · · · × ∧lm, where <p
, . . . ,pm<∞. Writep= (p, . . . ,pm).
Giveng= (g, . . . ,gm)∈W,p(,∧l× · · · × ∧lm), we consider the integral
I[F] =
W(g+dF) =
Wg+df, . . . ,gm+dfm (.)
defined for vectorial differential forms
F=f, . . . ,fm∈W,p,∧l–× · · · × ∧lm–,
wherep= (p, . . . ,pm) is imposed by the growth condition (.). Let
M=F|F∈W,p,∧l–× · · · × ∧lm–.
We consider the existence of the minimizer ofIinM, that is, we want to prove that
inf
MI[F]
is achieved.
In particular, associated with the variational kernelW(ξ) =|ξ|p, (.) is reduced to the
p-Dirichlet integral
I[u] =
|g+du|p,
and the minimizers of the p-Dirichlet integral are exactly the weak solutions to the p-harmonic equation
d∗|g+du|p–(g+du)= .
2 Notation and preliminary results
This section is devoted to the notation of the exterior calculus and a few necessary pre-liminaries. Readers can refer to [–] for more details.
We denote by∧l=∧l(Rn) the space ofl-covectors inRn, and the direct sum
∧Rn= n
l= ∧lRn
is a graded algebra with respect to the wedge product∧. We shall make use of the exterior derivative
d:C∞,∧l→C∞,∧l+
and its formal adjoint operator
d∗= (–)nl+∗d∗:C∞,∧l+→C∞,∧l,
known as the Hodge codifferential, where the symbol∗denotes the Hodge star duality operator. Note that each of the operatorsdandd∗applied twice gives a zero.
LetC∞(,∧l) be the class of infinitely differentiablel-forms on⊂Rn. Sinceis a
Near this boundary point, every differential formω∈C∞(,∧l) can be decomposed as
ω(x) =ωT(x) +ωN(x), where
ωT(x) =
≤i<···<il<n
ωi,...,il(x)dxi∧ · · · ∧dxil
and
ωN(x) =
≤i<···<il=n
ωi,...,il(x)dxi∧ · · · ∧dxil
are called the tangential and the normal part ofω, respectively. Now, the duality between dandd∗is expressed by the integration by parts formula
du,v=
u,d∗v (.)
for allu∈C∞(,∧l) andv∈C∞(,∧l+), providedu
T= orvN = . The symbol ·,·
denotes the inner product,i.e., letα=IαI(x)dxI andβ =
IβI(x)dxI, then α,β=
IαI(x)βI(x).
Due to (.), extended definitions fordandd∗can be introduced as the introduction of weak derivatives.
Definition .[] Suppose thatω∈Lloc(,∧l) andv∈Lloc(,∧l+). If
ω,d∗η=
v,η
for every test formη∈C∞(,∧l+), we say thatωhas generalized exterior derivativevand writev=d˜ω.
The notion of the generalized exterior coderivatived˜∗can be defined analogously.
Definition .[] Suppose thatω∈L
loc(,∧l) andv∈Lloc(,∧l–). If
ω,dη=
v,η
for every test formη∈C∞(,∧l–), we say thatωhas generalized exterior coderivativev
and writev=d˜∗ω.
Remark[] (i) The generalized exterior derivative has many properties similar to those of the weak derivative. For example, (i) if the generalized exterior derivative exists, it is
unique; (i) ifωis differentiable in the conventional sense, then its generalized exterior
derivatived˜ωis identical to its classical exterior differentialdω. Analogous results hold for generalized exterior coderivative.
(iii)dandd˜have analogous expressions,i.e., forω(x) =IωI(x)dxI, we have
dω(x) =
I n
k=
∂ωI
∂xk
dxk∧dxI
and
˜ dω(x) =
I n
k= ˜ ∂ωI
∂xk
dxk∧dxI,
where∂denotes the ordinary derivative and∂˜ the weak derivative. So next, we usedto represent the action instead ofd˜, similar ford∗andd˜∗.
Next, we present briefly some spaces of differential forms
Lq,∧l-the space ofl- formsωwith coefficients inLq();
Lq,∧l- the space ofl-formsωsuch that∇ωis a regular
distribution ofLq,∧l;
W,q,∧l- the Sobolev space ofl-formsωdefined byLq,∧l∩Lq,∧l,
which are used throughout this paper.
Finally, we introduce the definition of weak convergence for sequences in spaces of dif-ferential forms as needed. Throughout the paper, let <q,q<∞be the Hölder conjugate pair,q+q=qq.
Definition .[] We say thatϕjweakly converges toϕinLq(,∧l) if
ϕj∧h→
ϕ∧h
wheneverh∈Lq(,∧n–l) and writeϕ
j ϕinLq(,∧l).
We also need some properties of spaces of differential forms.
Proposition .[] For <q<∞,Lq(,∧l)is reflexive.
Proposition .[] ϕj ϕin W,q(,∧l)if and only ifϕj ϕin Lq(,∧l)and∇ϕj
∇ϕin Lq(,∧l),where∇ϕ= (∂ϕ ∂x, . . . ,
∂ϕ
∂xn),and the partial differentiation is applied to the
coefficients ofϕ.
3 Weak lower semicontinuity
In many variational problems, weak lower semicontinuity is an essential condition for the existence of minimizers, using the minimization method. This will motivate the study of various notions of convexity conditions. In this section, we study the conditions for weak lower semicontinuity of the integral functionalI[F] in the Sobolev spaceW,p(,∧l–×
Definition . Iis called weak lower semicontinuous onW,p(,∧l–× · · · × ∧lm–) if
I[F]≤lim inf ν→∞ I[Fν]
wheneverFν= (f
ν, . . . ,fνm)F= (f, . . . ,fm) inW,p(,∧l–× · · · × ∧lm–). 3.1 The convex case
Theorem . For a given g= (g, . . . ,gm)∈W,p(,∧l× · · · × ∧lm),let W≥be
contin-uous and convex.Then I is weakly lower semicontinuous on W,p(,∧l–× · · · × ∧lm–). Proof Suppose thatFν= (f
ν, . . . ,fνm)F= (f, . . . ,fm) inW,p(,∧l–× · · · × ∧lm–), we then need to show
I[F]≤lim inf ν→∞ I[Fν].
We may assume that{I[Fν]}is finite and convergent.
SincedFνdFinLp(,∧l× · · · × ∧lm), then, according to Mazur lemma [], for any
ν∈N, there exists a sequence{Fl}l≥νof convex linear combinations
Fl= l
ν=ν
λlνdFν, ≤λlν≤,
l
ν=ν
λlν= , l≥ν
such thatFl→dF(l→ ∞) inLp(,∧l× · · · × ∧lm) and pointwise almost everywhere.
SinceWis continuous, we have
W(g+Fl)→W(g+dF)
asl→ ∞. On the other hand, we have by the convexity ofWthat
W(g+Fl) =W l
ν=ν
λlν(g+dFν)
≤
l
ν=ν
λlνW(g+dFν).
Therefore, we obtain from Fatou lemma that
W(g+dF) =
lim
l→∞W
g+Fl
=
lim inf
l→∞ W
g+Fl
≤lim inf
l→∞
Wg+Fl
≤lim inf
l→∞ l
ν=ν
λlν
≤lim inf
l→∞ ν≤supν≤l
W(g+dFν)
= lim
l→∞infk≥lν≤supν≤k
W(g+dFν)
= lim
l→∞ν≤supν≤l
W(g+dFν)
= sup ν≥ν
W(g+dFν).
Letν→ ∞in the inequality above, we obtain
W(g+dF)≤ lim ν→∞νsup≥ν
W(g+dFν)
=lim sup ν→∞
W(g+dFν)
=lim inf ν→∞
W(g+dFν),
that is,I[F]≤lim infν→∞I[Fν]. The theorem follows.
3.2 The non-convex case
This section considers the case whenWis not convex. Fruitful results have been obtained for the weak lower semicontinuity of integral functionalsIwhenWfails to be convex, see [–]. We consider the counterpart in the case of differential forms.
.. Quasiconvex
Definition . LetW:∧l× · · · × ∧lm→ ∧nbe continuous. ThenWis said to be
quasi-convex if
D
Wξ+dφ(x)
≥
D
W(ξ) (.)
holds for every bounded open setD⊂Rnwithmea∂D= for every fixedξ
∈ ∧l× · · · × ∧lmand for allφ∈W,p
(,∧l–× · · · × ∧lm–).
Remark (i) This definition is actually the so-calledW,p-quasiconvex, see []. For the
general notion ofquasiconvex(relatively isW,∞-quasiconvex) and other results, readers
can refer to [, , , ] and references therein.
(ii) From Jensen’s inequality, we see that every convex function is quasiconvex. In fact, we have by Jensen’s inequality that
||
Wξ+dφ(x)
≥W ||
ξ+dφ(x)
=W
ξ+
||
dφ(x)
.
Sinceφ∈W,p(,∧l–× · · · × ∧lm–), the Stokes theorem [] yields
dφ(x) =
∂
Therefore, we have
||
Wξ+dφ(x)
≥W(ξ).
(iii) Quasiconvexity implies that the functionWis convex with respect to eachξi∈ ∧li,
i= , . . . ,m, which together with (.) yields a Lipschitz-type condition
W(ξ+ζ) –W(ξ)≤C(p)
m
i=
ζiξi+ζipi–. (.)
Lemma . Letξ∈ ∧l×· · ·×∧lmand W be quasiconvex satisfying the growth condition
(.).Suppose that
Fν=fν, . . . ,fνm
in W,p(,∧l–× · · · × ∧lm–).Then
lim inf ν→∞
W(ξ+dFν)≥
W(ξ). (.)
Proof Letν={x∈:dist(x,∂) > /ν}, then|–ν| → asν→ ∞. We choose cut-off functionsην∈C∞() such that ≤ην≤,ην|ν= and|∇ην| ≤Cν<∞. Let
φν(x) =ην(x)Fν(x),
thenφν∈W,p(,∧l–× · · · × ∧lm–) and dφν(x) =dην(x)∧Fν(x) +ην(x)dFν(x).
We takeφνas test functions in the definition of quasiconvexity to obtain
W(ξ)≤
Wξ+dφν(x)
=
ν
Wξ+dFν(x)
+
\ν
Wξ+dφν(x)
=
Wξ+dFν(x)
+
\ν
Wξ+dφν(x)
–Wξ+dFν(x)
. (.)
SinceW is continuous, thus,W is bounded on bounded sets, together with that|– ν| → asν→ ∞, we then have the last integral in the right hand side of (.) converges to zero asν→ ∞. Therefore, we have
W(ξ)≤lim inf ν→∞
W(ξ+dFν),
which is the desired result.
Proof Suppose thatFν= (f
ν, . . . ,fνm)F= (f, . . . ,fm) inW,p(,∧l–× · · · × ∧lm–), we then need to show that
I[F]≤lim inf ν→∞ I[Fν].
We may assume that{I[Fν]}is finite and convergent,i.e.,
lim inf
ν→∞ I[Fν] =νlim→∞I[Fν].
LetQk⊂be disjoint cubes parallel to the axes, and edge-length is /k. Denotek=
Qk, and we then have that
|–k| →
ask→ ∞. Let
dF(x) =
I
(dF)I(x)dxI,
with (dF)I(x)∈Lp(,∧l× · · · × ∧lm). Forx∈Qk, set
(ξk)I=
|Qk|
Qk
(dF)I(y)dy.
Then (ξk)I is constant onQkand writeξk=
I(ξk)IdxI∈ ∧l× · · · × ∧lm. Then we have dF(x) –ξkp,Qk=
I
Qk
(dF)I(x) – (ξk)I p
dx
p
−→
ask→ ∞. Therefore, for arbitraryε> , we can chooseklarge enough such that
|–k|<ε and dF(x) –ξkp,Q
k<ε.
Note that Fν = (f
ν, . . . ,fνm)F = (f, . . . ,fm) in W,p(,∧l–× · · · × ∧lm–), we have Fν,p,is uniformly bounded. We then consider
I[Fν] –I[F] =
W(g+dFν) –W(g+dF)
J+J+J+J, (.)
where
J=
\k
W(g+dFν) –W(g+dF),
J=
k
Qk
W(g+dFν) –W(g+ξk+dFν–dF)
J=
k
Qk
W(g+ξk+dFν–dF) –W(g+ξk)
,
J=
k
Qk
W(g+ξk) –W(g+dF)
.
ForJ: SinceW≥,W is continuous andis bounded, we have
J =
\k
W(g+dFν) –W(g+dF)≥–
\k
W(g+dF)
≥–sup
|W| · |–k|
≥–εsup
|W|= –εC; (.)
ForJ: From (.) and the Hölder inequality, we see that
|J| ≤
k
Qk
W(g+dFν) –W(g+ξk+dFν–dF)
≤C(p)
k m
i=
Qk
dfi–ξkigi+dfνi+dfi–ξkipi–
≤C(p)
k m
i=
Qk
dfi–ξkigipi–
+dfi–ξkidfνipi–
+
Qk
dfi–ξkipi
≤C(p,m)gpp–,Qk+dFν
p–
p,Qk
dF–ξkp,Qk+dF–ξk
p p,Qk
≤εC; (.)
ForJ: Applying Lemma . forξ=g+ξk, yields
lim inf ν→∞
Qk
W(g+ξk+dFν–dF)≥
Qk
W(g+ξk),
which implies that
lim inf
ν→∞ J≥; (.)
ForJ: It follows from (.) and the Hölder inequality that
|J|=
k
Qk
W(g+ξk) –W(g+dF)
≤C(p)
k m
i=
Qk
dfi–ξkigi+dfi+ξkipi–
≤C(p,m)gpp–,Qk+dF
p–
p,Qk+ξk
p–
p,Qk
dF–ξkp,Qk
≤εC. (.)
Substituting (.)-(.) into (.), we have by lettingν→ ∞that
lim inf
Letε→ in the above inequality, we obtain
lim inf
ν→∞ I[Fν]≥I[F].
The theorem follows.
.. Polyconvex
Polyconvexity is also an important condition for the weak lower semicontinuity ofI, which is quasiconvex, but not necessarily convex. We give below the definition of polyconvex, and we want to establish the weakly lower semicontinuity ofI onW,p(,∧l–× · · · ×
∧lm–), providedWis polyconvex.
Definition . LetN=N(m) be the number of elements of the set
T(ξ) =ξi∧ · · · ∧ξik|≤i
<· · ·<ik≤m,k= , . . . ,m
forξ= (ξ, . . . ,ξm)∈ ∧l× · · · × ∧lm. A functionW:∧l× · · · × ∧lm→ ∧nis called
poly-convex if there existsg:RN→ ∧nbe convex in each of its variables, such that
W(ξ) =gT(ξ).
Proceeding with the proof in much the same way as [], the equivalent definition for polyconvexity is given by Iwaniec and Lutoborski.
Definition .[] A continuous functionW:∧l× · · · × ∧lm→ ∧nis called polyconvex
if
W(ξ) –W(ζ)≥
m
k=≤i<···<ik≤m
Ai···ik(ζ)∧
ξi∧ · · · ∧ξik–ζi∧ · · · ∧ζik, (.)
where ξ= (ξ, . . . ,ξm) andζ = (ζ, . . . ,ζm) are variable points from ∧l× · · · × ∧lm and
Ai···ik:∧
l× · · · × ∧lm→ ∧n–l,l=l
i+· · ·+lik, are functions ofζ only.
Remark (i) Note that (.) implies convexity ofW in each variable, and we have from the definitions that
Convex ⇒ Polyconvex ⇒ Quasiconvex.
(ii) The non-zero terms in the right side of (.) imply that
k≤m≤l+· · ·+lm≤n.
(iii) ForF= (f, . . . ,fm)∈W,p(,∧l–× · · · × ∧lm–), and assume that
fij=
I
fij
then
dfi∧ · · · ∧dfik
=
I n
j=
∂(fi) I
∂xj
dxj∧dxI
∧ · · · ∧
I n
j=
∂(fik)
I
∂xj
dxj∧dxI
=
Iv,...,Ivk
j,...,jk
(–)∂((f
i) Iv, . . . , (f
ik)
Ivk)
∂(xj, . . . ,xjk)
dxj∧dxIv∧ · · · ∧dxjk∧dxIvk, (.)
where (–)= or (–). Observe that the coefficients of (.) arek×ksubdeterminant of the Jacobian off :→RN,N=Cl–
n +· · ·+Cnlm–, where
f =fI
, . . . ,
fI
Cnl–
, . . . ,fmI
, . . . ,
fmI
Clmn –
.
We apply the following lemma.
Lemma .[, Corollary .] LetJk(Du)be any k×k subdeterminant,and let q>k be
a number.Let{uj}be any sequence weakly convergent to u in W,q(,RN)as j→ ∞.Then Jk(Duj)Jk(Du)weakly in L
q k().
By adding the condition
˜
pmin{p, . . . ,pm}>m,
we have that fors= , . . . ,m,
dfi
ν ∧ · · · ∧dfνisdfi∧ · · · ∧dfis
inLp˜s(,∧li×· · ·×∧lis) asν→ ∞whenFνFinW,p(,∧l–×· · ·×∧lm–). Therefore,
we obtain the following theorem for the weakly lower semicontinuity ofI.
Theorem . Let W≥be polyconvex,and letp˜min{p, . . . ,pm}>m.Then I is weakly
lower semicontinuous,provided functions Ai···ikin(.)belong to L
˜
p
˜
p–m(,∧n–l).
Proof Suppose thatFν= (f
ν, . . . ,fνm)F= (f, . . . ,fm) inW,p(,∧l–× · · · × ∧lm–). We may assume that{I[Fν]}is finite and convergent as before. We first obtain from (.) that
W(g+dFν) –W(g+dF)
≥
≤k≤m
≤i<···<ik≤m
Ai···ik(g+dF)
∧gi+dfi
ν
∧ · · · ∧gik+dfik
ν
–gi+dfi∧ · · · ∧gik+dfik
=
≤k≤m
≤i<···<ik≤m
Ai···ik∧
dfi
ν ∧ · · · ∧dfνik–dfi∧ · · · ∧dfik
+
≤k≤m
≤i<···<ik≤m
Ai···ik∧g
i∧dfi
ν ∧ · · · ∧dfνik–dfi∧ · · · ∧dfik
+
≤k≤m
≤i<···<ik≤m
Ai···ik∧g
i∧gi∧dfi
ν ∧ · · · ∧dfνik–dfi∧ · · · ∧dfik
+· · ·
+
≤k≤m
≤i<···<ik≤m
Ai···ik∧g
i∧ · · · ∧gik–∧dfik
ν –dfik
. (.)
Next, observe that fork= , . . . ,m,
dfi
ν ∧ · · · ∧dfνisdfi∧ · · · ∧dfis inL ˜
p
s fors= , . . . ,k,
and sinceAi···ik ∈L
˜
p
˜
p–mandgs∈Lp˜,s= , . . . ,m, we then have by the Hölder inequality that
Ai···ik∈L
˜
p
˜
p–k,
Ai···ik∧g
i∈L
˜
p
˜
p–(k–)←− p˜–k
˜
p– (k– )+ ˜
p– (k– )= ,
Ai···ik∧g
i∧gi∈L
˜
p
˜
p–(k–)←− p˜–k
˜
p– (k– )+ ˜
p– (k– )+ ˜
p– (k– )= ,
.. .
Ai···ik∧g
i∧ · · · ∧gik–∈L
˜
p
˜
p– ←−p˜–k
˜ p– +
˜
p– +· · ·+ ˜ p–
k–
=
fork= , . . . ,m.
Therefore, integrating both sides of (.) in, and then lettingν→ ∞, we obtain
lim
ν→∞I[Fν]≥I[F],
that is, we have
lim inf
ν→∞ I[Fν] =νlim→∞I[Fν]≥I[F],
which is the desired result.
4 Existence of minimizers
To prove the existence of minimizers ofI, another important point is requiring its coer-civity condition. The counterpart in the variational problem of differential forms is intro-duced by Iwaniec and Lutoborski [] as follows.
Definition .[] Suppose thatWsatisfies (.), we say thatWis coercive in the mean if
Rn
Wζ, . . . ,ζm≥ρ
Rn
ζp+· · ·+ζmpm (.)
Theorem . In addition to the hypotheses,which ensure I to be weakly lower semicon-tinuous,assume that W satisfies the growth condition(.)and mean-coercivity condition (.).Then the minimizer of I is achieved at some F∈M.
Proof Set
m=inf
MI[F].
It follows from (.) and (.) thatmis finite. By the definition of infimum, there exists a minimizing sequence{Fν} ⊂Msuch that
I[Fν]→m
asν→ ∞. Then the mean coerciveness (.) yields{Fν}is bounded inW,p(,∧l–×
· · · × ∧lm–), which implies that{fν}i is bounded inW,pi(,∧li–),i= , . . . ,m. From
Propo-sition ., we see that{fi
ν}has a weakly convergent subsequence, denoted by{fνi}again, in W,pi(,∧li–). Then we may assume that
fνifi inW,pi
,∧li–
asν→ ∞. WriteF= (f, . . . ,fm), then we get
FνF inW,p,∧l–× · · · × ∧lm–
andF∈M. SinceIis weakly lower semicontinuous, it follows that
m≤I[F]≤lim inf
ν→∞ I[Fν] =m,
i.e.,I[F] =m=infMI[F] as desired.
5 Applications
In this section, we present two examples to illustrate our main results. The first example is to explain the existence result Theorem . for the stored-energy functionW, which is polyconvex.
Example We consider a special case ofn= ,l= ,m= andg= . Letξ= (ξ,ξ)∈ ∧(R)× ∧(R) with
ξ=adx+adx, ξ=adx+adx
and assume thatW:∧(R)× ∧(R)→ ∧(R) is defined by
W(ξ) =Wξ,ξ=|ξ|∗|ξ|– ξ∧ξ,
where∗is the Hodge star duality operator. Step . Direct computation implies
then we see thatW satisfies the growth condition (.) withp= (p,p) = (, ). Thus, we
havep˜=p=p= >m= ,p˜–p˜m = andM=W,(,∧× ∧).
Step . Note thatξ∧ξ= (a
a–aa)dx∧dxand
aa–aa ≤aa+aa
≤
a
+a+ a
+a
= ξ
+ξ=
|ξ|
,
then (a
a–aa)∗≤ |ξ|∗,ai.e.,
ξ∧ξ≤ |ξ|∗.
Hence we haveW≥.
Step . Applying Proposition . in [], yieldsWsatisfies (.). Step . Suppose thatζ= (ζ,ζ)∈W,(,∧× ∧) and
ζ=bdx+bdx,
ζ=bdx+bdx.
Let
A=
a a a
a
, B=
b b b
b
.
Then|ξ|=|A|,|ζ|=|B|andξ∧ξ=detA∗,ζ∧ζ=detB∗. Thus, we have
W(ξ) –W(ζ) =|ξ|–|ζ|∗ – |ξ|ξ∧ξ–|ζ|ζ∧ζ
=F(A) –F(B)∗, (.)
whereF(X) =|X|– |X|detX. Write
A⊗B=ab+ab+ab+ab.
Then by applying
F(A) –F(B)≥|B|–detBB⊗(A–B) – |B|(detA–detB)[,],
we get from (.) that
W(ξ) –W(ζ) =F(A) –F(B)∗
≥|B|–detBB⊗(A–B) – |B|(detA–detB)∗
= |B|–detBba–b+ba–b
Observe that
∗ζ∧ξ–ζ=ξ–ζ∧ ∗ζ
= ξ–ζ|ζ ∗
=ba–b+ba–b∗. (.)
Similarly, we have
∗ζ∧ξ–ζ=ξ–ζ∧ ∗ζ
= ξ–ζ|ζ ∗
=ba–b+ba–b∗. (.)
By substituting (.) and (.) into (.), we obtain that
W(ξ) –W(ζ)≥|B|–detB∗ζ∧ξ–ζ
+ |B|–detB∗ζ∧ξ–ζ
– |ζ|ξ∧ξ–ζ∧ζ. (.)
Then we have from (.) that the corresponding terms in (.) are
A(ζ) =
|B|–detB∗ζ,
A(ζ) =
|B|–detB∗ζ
and
A,(ζ) = |ζ|.
Sinceζ= (ζ,ζ)∈W,(,∧× ∧) andis bounded, then we get thatA
,A,A,∈L.
Therefore, it follows from Theorem . that the minimizer ofIcan be achieved.
Finally, we give an example for a stored-energy functionW, which is quasiconvex.
Example We consider the casel= ,m=nandg= . Letξ= (ξ, . . . ,ξn)∈ ∧(Rn)× · · · × ∧(Rn) and
ξi=aidx+· · ·+aindxn
fori= , . . . ,n. WriteA= (ai
j), ≤i,j≤n, whereaij denotes the element ofith-row and
jth-column inA. Fix ≤k≤n, then we have by simple calculation that
ξi∧ · · · ∧ξik=
≤j<···<jk≤n
det
⎛ ⎜ ⎜ ⎝
ai
j . . . a i jk
..
. . .. ... aik
j . . . a ik
jk
⎞ ⎟ ⎟
for all orderedl-tuplesI= (i, . . . ,ik), ≤i<· · ·<ik≤n. LetJi,...,ik={, . . . ,n}–I, then it
follows from (.) that
ξi∧ · · · ∧ξik∧dx
Ji,...,ik=det
⎛ ⎜ ⎜ ⎝
ai
i . . . a i ik
..
. . .. ... aik
i . . . a ik
ik
⎞ ⎟ ⎟
⎠dx. (.)
Here,
Ai,...,ik
i,...,ikdet
⎛ ⎜ ⎜ ⎝
ai
i . . . a i ik
..
. . .. ... aik
i . . . a ik
ik
⎞ ⎟ ⎟ ⎠
denotes thek×kprincipal minors ofA. Let [A]kdenote the sum of thek×kprincipal
minors ofA, then
W(ξ)
n
k=≤i<···<ik≤n
ξi∧ · · · ∧ξik∧dx
Ji,...,ik
=
n
k=
[A]kdx.
Suppose thatAis positive semidefinite, thenW≥, and we have from [] thatW is quasiconvex.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
All authors contributed equally to this paper. They read and approved the final manuscript.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 11071048).
Endnote
a Inequality between two volume forms should be understood as inequality between their coefficients with respect
to the standard basis, that is to say, we say that ann-formαonRnis nonnegative ifα=λdxfor some nonnegative
functionλ.
Received: 6 March 2013 Accepted: 31 July 2013 Published: 22 August 2013 References
1. Iwaniec, T, Lutoborski, A: Integral estimates for null Lagrangians. Arch. Ration. Mech. Anal.125, 25-79 (1993) 2. Iwanice, T, Scott, C, Stroffolini, B: Nonlinear Hoge theory on manifolds with boundary. Ann. Mat. Pura Appl.177,
37-115 (1999)
3. Iwaniec, T, Martin, G: Geometric Function Theory and Nonlinear Analysis. Oxford University Press, New York (2001) 4. Chern, SS, Chen, WH: Lectures on Differential Geometry. Peking University Press, Beijing (2001)
5. Agarwal, RP, Ding, S, Nolder, C: Inequalities for Differential Forms. Springer, New York (2009)
6. Wang, T, Bao, G: Some properties of solutions to a class of Dirichlet boundary value problems. Abstr. Appl. Anal. (2012). doi:10.1155/2012/268612
7. Gilbarg, D, Trudinger, NS: Elliptic Partial Differential Equations of Second Order. Springer, New York (1983) 8. Heinonen, J, Kilpelainen, T, Martio, O: Nonlinear Potential Theory of Degenerate Elliptic Equations. Oxford University
Press, Oxford (1993)
9. Dacorogna, B: Direct Methods in the Calculus of Variations. Springer, Berlin. Reprinted by World Publishing Corporation, Beijing (1991)
11. Zhang, GQ: Lectures on Calculus of Variations. Higher Education Press, Beijing (2011)
12. Ball, JM: Convexity conditions and existence theorems in nonlinear elasticity. Arch. Ration. Mech. Anal.63, 337-403 (1977)
13. Ball, JM, Currie, JC, Olver, PJ: Null Lagrangians, weak continuity, and variational problems of arbitrary order. J. Funct. Anal.41, 135-174 (1981)
14. Ball, JM, Murat, F:W1,pQuasiconvexity and variational problems for multiple integrals. J. Funct. Anal.58, 225-253
(1984)
15. Struwe, M: Variational Methods. Springer, Berlin (2008)
16. Yan, B: Introduction to variational methods in partial differential equations and applications. A summer course at Michigan State University (Math 890, Summer 2008)
17. Schmidt, B: Weak convergence methods for nonlinear partial differential equations. Lecture notes (Summer term, 2010)
18. Dacorogna, B, Marcellini, P: A counterexample in the vectorial calculus of variations. In: Material Instabilities in Continuum Mechanics, pp. 77-83. Oxford Science Publications, Oxford (1988)
19. Alibert, JJ, Dacorogna, B: An example of a quasiconvex function that is not polyconvex in two dimensions. Arch. Ration. Mech. Anal.117, 155-166 (1992)
20. Šverák, V: New examples of quasiconvex functions. Arch. Ration. Mech. Anal.119, 293-300 (1992)
21. Daniel, F, Xiao, Z: Quasiconvex functions and Hessian equations. Arch. Ration. Mech. Anal.168, 245-252 (2003) 22. Zhang, GQ, Lin, YQ: Lectures on Functional Analysis. Peking University Press, Beijing (2008)
doi:10.1186/1029-242X-2013-407