I have been putting it off for a while. But now that I can write Latex in the blogger I can talk about BV spaces.
Solutions of some mathematical problems which have discontinuities along one-codimensional manifolds where the first distributional derivatives are measures prompt us to consider the BV space. I will refer to Attouch et al's book: Variational Analysis in Sobolev and BV spaces.
Definition of BV space: We say that a function u:Ω→R is a function of bounded variations i.e. u∈BV if and only if it belongs to L1(Ω) and its gradient Du in the distributional sense is in M(Ω,RN).
The following statements are equivalent.
(i) u∈BV(Ω)
(ii) u∈L1(Ω) and uxi∈M(Ω) for all i=1,2,...,N.
(iii) u∈L1(Ω) and |u|BV<∞, where |u|BV:=sup{⟨Du,ϕ⟩:ϕ∈Cc(Ω,RN) and ‖ϕ‖∞≤1}.
(here ⟨Du,ϕ⟩:=∑Ni=1∫Ωϕiuxi.)
(iv) u∈L1(Ω) and |u|BV=sup{∫Ωu div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}<∞.
The implication (ii)⟹(iii) follows as Cc(Ω,RN) is dense in C0(Ω,RN). The implication (ii)⟹(iii) follows as C∞c(Ω,RN) is dense in C0(Ω,RN) and Cc(Ω,RN).
Notations and facts:
Ω⊂RN.
C0(Ω,RN) is the space of all continuous functions that vanish at infinity. i.e. for a function ϕ∈C0(Ω,RN) the following is true: Given any ϵ>0 there exists a compact set Kϵ⊂Ω such that supx∈Ω∖Kϵ|ϕ(x)|≤ϵ.
The functions ϕ in C0(Ω,RN) are equipped with the uniform norm
‖ϕ‖∞:=supx∈Ω{|ϕ(x)|}.
Cc(Ω,RN) is the subspace of C0(Ω,RN) with a compact support in Ω.
Cb(Ω,RN) is the subset of all bounded continuous functions from Ω into RN.
Density results:
Cc(Ω,RN) is dense in C0(Ω,RN).
The space of infinitely differentiable and compactly supported functions C∞c(Ω,RN) is dense is C0(Ω,RN) and Cc(Ω,RN).
Duality results:
M(Ω,RN) denotes the space of all RN valued Borel measures.
M(Ω,RN) is isomorphic to the product space MN(Ω).
By the Riesz-Alexandroff representation theorem the dual of the space C0(Ω,RN) (and thus of Cc(Ω,RN)) can be isometrically identified with M(Ω,RN). i.e. any Borel measure μ is a bounded linear functional (continuous linear form if you like that) on C0(Ω,RN) or Cc(Ω,RN) and the dual norms ‖⋅‖C′0(Ω,RN) and ‖⋅‖C′c(Ω,RN) are equal to the total mass |⋅|(Ω) :
|μ|(Ω)≡∫Ω|μ|=sup{⟨μ,ϕ⟩:ϕ∈C0(Ω,RN) and ‖ϕ‖∞≤1}=sup{⟨μ,ϕ⟩:ϕ∈Cc(Ω,RN) and ‖ϕ‖∞≤1}. Here, ⟨μ,ϕ⟩≡μ(ϕ)≡∫Ωϕdμ≡∑Ni=1∫Ωϕidμi.
The relation between BV and the Sobolev space W1,1:
According to Radon-Nykodym theorem there exists ∇u∈L1(Ω,RN) and measure Dsu that is singular with respect to LN|Ω, the N− dimensional Lebesgue measure restricted to Ω, such that: Du=∇uLN|Ω+Dsu. Thus, W1,1 is a subspace of the BV− space and for functions in W1,1 we can write Du=∇u.
Norm on the BV space:
The BV space is equipped with the norm ‖u‖BV=‖u‖L1+|u|BV.
Equipped with this norm the space of BV functions is complete. The completeness of the BV space follows from the completeness of L1 and lower semicontinuity property which is stated below.
Proposition about the lower semicontinuity property of BV− seminorm:
If {un} is a sequence in BV(Ω) with supn|un|BV<∞ that converges strongly un→u in L1(Ω) then |u|BV≤liminfn→∞|un|BV and u∈BV(Ω).
Proof:
We use the following definition of BV seminorm here: u∈L1(Ω) and |u|BV=sup{∫Ωu div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}<∞.
Let ϕ∈C1c(Ω,RN) with ‖ϕ‖∞≤1.
We first observe that
limn→∞∫Ωun div ϕ=∫Ωu div ϕ.(1)
This follows as un→u in L1(Ω) strongly, and that ϕ∈C1c(Ω,RN). Indeed, |∫Ωun div ϕ−u div ϕ|≤∫Ω|un−u|⋅| div ϕ|→0, as n→∞. Note that ∫Ωun div ϕ≤sup{∫Ωun div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}, i.e. ∫Ωun div ϕ≤|un|BV. Taking liminf of both sides, we get limn→∞∫Ωun div ϕ≤liminfn→∞|un|BV.(2) From (1) and (2) we get
∫Ωu div ϕ≤liminfn→∞|un|BV.(3)
Taking supremum on the left side of (3) over all ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1, we get |u|BV≤liminfn→∞|un|BV. Moreover, if |un|BV<∞ for all n we get |u|BV<∞, i.e. u∈BV.
The weak convergence of un⇀u in BV :
We say that a sequence un in BV(Ω) converges weakly to some u in BV(Ω) (i.e. un⇀u in BV(Ω)) if and only if the following two convergences hold:
(i) un→u strongly in L1(Ω)
(ii) Dun⇀Du weakly in M(Ω,(R)N).
Proposition: If {un} is a sequence in BV(Ω) with supn|un|BV<∞ that converges strongly un→u in L1(Ω) then un⇀u in BV.
Proof:
As un→u in L1 we only have to show the weak convergence Dun⇀Du.
For ϕ∈C∞c(Ω,RN) we have that ⟨Dun,ϕ⟩=−∫Ωun div ϕ→−∫Ωu div ϕ=⟨Du,ϕ⟩.
As result of the density of C∞c(Ω,RN) in C0(Ω,RN) and the boundedness of |un|BV we conclude that Dun⇀Du.
Solutions of some mathematical problems which have discontinuities along one-codimensional manifolds where the first distributional derivatives are measures prompt us to consider the BV space. I will refer to Attouch et al's book: Variational Analysis in Sobolev and BV spaces.
Definition of BV space: We say that a function u:Ω→R is a function of bounded variations i.e. u∈BV if and only if it belongs to L1(Ω) and its gradient Du in the distributional sense is in M(Ω,RN).
The following statements are equivalent.
(i) u∈BV(Ω)
(ii) u∈L1(Ω) and uxi∈M(Ω) for all i=1,2,...,N.
(iii) u∈L1(Ω) and |u|BV<∞, where |u|BV:=sup{⟨Du,ϕ⟩:ϕ∈Cc(Ω,RN) and ‖ϕ‖∞≤1}.
(here ⟨Du,ϕ⟩:=∑Ni=1∫Ωϕiuxi.)
(iv) u∈L1(Ω) and |u|BV=sup{∫Ωu div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}<∞.
The implication (ii)⟹(iii) follows as Cc(Ω,RN) is dense in C0(Ω,RN). The implication (ii)⟹(iii) follows as C∞c(Ω,RN) is dense in C0(Ω,RN) and Cc(Ω,RN).
Notations and facts:
Ω⊂RN.
C0(Ω,RN) is the space of all continuous functions that vanish at infinity. i.e. for a function ϕ∈C0(Ω,RN) the following is true: Given any ϵ>0 there exists a compact set Kϵ⊂Ω such that supx∈Ω∖Kϵ|ϕ(x)|≤ϵ.
The functions ϕ in C0(Ω,RN) are equipped with the uniform norm
‖ϕ‖∞:=supx∈Ω{|ϕ(x)|}.
Cc(Ω,RN) is the subspace of C0(Ω,RN) with a compact support in Ω.
Cb(Ω,RN) is the subset of all bounded continuous functions from Ω into RN.
Density results:
Cc(Ω,RN) is dense in C0(Ω,RN).
The space of infinitely differentiable and compactly supported functions C∞c(Ω,RN) is dense is C0(Ω,RN) and Cc(Ω,RN).
Duality results:
M(Ω,RN) denotes the space of all RN valued Borel measures.
M(Ω,RN) is isomorphic to the product space MN(Ω).
By the Riesz-Alexandroff representation theorem the dual of the space C0(Ω,RN) (and thus of Cc(Ω,RN)) can be isometrically identified with M(Ω,RN). i.e. any Borel measure μ is a bounded linear functional (continuous linear form if you like that) on C0(Ω,RN) or Cc(Ω,RN) and the dual norms ‖⋅‖C′0(Ω,RN) and ‖⋅‖C′c(Ω,RN) are equal to the total mass |⋅|(Ω) :
|μ|(Ω)≡∫Ω|μ|=sup{⟨μ,ϕ⟩:ϕ∈C0(Ω,RN) and ‖ϕ‖∞≤1}=sup{⟨μ,ϕ⟩:ϕ∈Cc(Ω,RN) and ‖ϕ‖∞≤1}. Here, ⟨μ,ϕ⟩≡μ(ϕ)≡∫Ωϕdμ≡∑Ni=1∫Ωϕidμi.
The relation between BV and the Sobolev space W1,1:
According to Radon-Nykodym theorem there exists ∇u∈L1(Ω,RN) and measure Dsu that is singular with respect to LN|Ω, the N− dimensional Lebesgue measure restricted to Ω, such that: Du=∇uLN|Ω+Dsu. Thus, W1,1 is a subspace of the BV− space and for functions in W1,1 we can write Du=∇u.
Norm on the BV space:
The BV space is equipped with the norm ‖u‖BV=‖u‖L1+|u|BV.
Equipped with this norm the space of BV functions is complete. The completeness of the BV space follows from the completeness of L1 and lower semicontinuity property which is stated below.
Proposition about the lower semicontinuity property of BV− seminorm:
If {un} is a sequence in BV(Ω) with supn|un|BV<∞ that converges strongly un→u in L1(Ω) then |u|BV≤liminfn→∞|un|BV and u∈BV(Ω).
Proof:
We use the following definition of BV seminorm here: u∈L1(Ω) and |u|BV=sup{∫Ωu div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}<∞.
Let ϕ∈C1c(Ω,RN) with ‖ϕ‖∞≤1.
We first observe that
limn→∞∫Ωun div ϕ=∫Ωu div ϕ.(1)
This follows as un→u in L1(Ω) strongly, and that ϕ∈C1c(Ω,RN). Indeed, |∫Ωun div ϕ−u div ϕ|≤∫Ω|un−u|⋅| div ϕ|→0, as n→∞. Note that ∫Ωun div ϕ≤sup{∫Ωun div ϕ:ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1}, i.e. ∫Ωun div ϕ≤|un|BV. Taking liminf of both sides, we get limn→∞∫Ωun div ϕ≤liminfn→∞|un|BV.(2) From (1) and (2) we get
∫Ωu div ϕ≤liminfn→∞|un|BV.(3)
Taking supremum on the left side of (3) over all ϕ∈C1c(Ω,RN) and ‖ϕ‖∞≤1, we get |u|BV≤liminfn→∞|un|BV. Moreover, if |un|BV<∞ for all n we get |u|BV<∞, i.e. u∈BV.
The weak convergence of un⇀u in BV :
We say that a sequence un in BV(Ω) converges weakly to some u in BV(Ω) (i.e. un⇀u in BV(Ω)) if and only if the following two convergences hold:
(i) un→u strongly in L1(Ω)
(ii) Dun⇀Du weakly in M(Ω,(R)N).
Proposition: If {un} is a sequence in BV(Ω) with supn|un|BV<∞ that converges strongly un→u in L1(Ω) then un⇀u in BV.
Proof:
As un→u in L1 we only have to show the weak convergence Dun⇀Du.
For ϕ∈C∞c(Ω,RN) we have that ⟨Dun,ϕ⟩=−∫Ωun div ϕ→−∫Ωu div ϕ=⟨Du,ϕ⟩.
As result of the density of C∞c(Ω,RN) in C0(Ω,RN) and the boundedness of |un|BV we conclude that Dun⇀Du.
APPENDIX: Basic definitions
Let X be some set, and 2X symbolically represent its power set, the collection of all subsets of X.
Measure: A mapping μ:2X→[0,∞] is called a measure on X if
(i) μ(∅)=0 and
(ii) μ(A)≤∑∞k=1μ(Ak), whenever A⊂∪∞k=1Ak.
μ− measurable set: A set A⊂X is μ− measurable if for each set B⊂X,
μ(B)=μ(B∩A)+μ(B∖A).
σ-algebra: A subset A⊂2X is called a σ-algebra if it satisfies the following three properties:
(i) A contains the null set and the set X, i.e. ∅,X∈A.
(ii) A is closed under complementation: A∈A implies X∖A∈A.
(iii) A is closed under countable unions: If Ak∈A for k=1,2,…, then so is the union, ∪∞k=1Ak.
Borel σ-algebra of Rn is the smallest σ-algebra of Rn containing the open subsets of Rn.
Regular measure: A measure μ on X is regular if for each set A⊂X there exists a μ− measurable set B such that A⊂B and μ(A)=μ(B).
Borel set: A Borel set is any set in a topological space that can be formed from open sets (or, equivalently, from closed sets) through the operations of countable union, countable intersection, and relative complement.
Borel measure: A measure μ on Rn is called Borel measure if every Borel set is μ− measurable.
Borel regular measure: A measure μ on Rn is called Borel regular measure if μ is Borel and for each A⊂Rn there exists a Borel set B such that A⊂B and μ(A)=μ(B).
Radon measure: A measure μ on Rn is called Radon measure if μ is Borel regular and μ(K)<∞ for each compact set K⊂Rn.
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