176 CHAPTER 3. MATHEMATICAL FOUNDATIONS
1) The eigenvalues of (3.6.40) are real and discrete, with finite multiplicities, and satisfy−∞<λ 1 ≤ ··· ≤λk≤ ···, λk→∞ask→∞.2) The eigenfunctions are orthogonal in the sense that(3.6.44)∫Ωψk†[
i(~σ·~D)ψj]
dx= 0 ∀k 6 =j.3) The number of negative eigenvalues is finite−∞<λ 1 ≤ ··· ≤λN< 0.4) Equations (3.6.40) have negative eigenvalues if and only if there exists a functionφ∈
H 01 (Ω,C^2 )satisfying (3.6.43) such that
∫Ω[
̄hc|(~σ·~D)φ|^2 +ig
2φ†{(~σ·~D),A 0 }φ]
< 0.
Proof.It is easy to see that the operator
L=i(~σ·~D):H 01 (Ω,C^2 )→L^2 (Ω,C^2 )is a Hermitian operator. Consider a functionalF:H^1 (Ω,C)→R^1 :
F(ψ) =∫Ω[
̄hc|Lψ|^2 +g
2ψ†{L,A 0 }ψ]
dx.By (3.6.42), the operatorL^2 =−(~σ·~D)^2 is elliptic. HenceFhas the following lower bound
onS:
S={ψ∈H 01 (Ω,C^2 )|
∫Ωψ†Lψdx= 1 },namely
min
ψ∈S
F(ψ)>−∞.Based on the Lagrange multiplier theorem of constraint minimization, the first eigenvalueλ 1
and the first eigenfunctionφ 1 ∈Ssatisfy
(3.6.45) λ 1 =F(ψ 1 ) =min
ψ∈S
F(ψ).
In addition, if
λ 1 ≤ ··· ≤λm
are the firstmeigenvalues with eigenfunctionsψk, 1 ≤k≤m, then the(m+ 1 )-th eigenvalue
λm+ 1 and eigenfunctionψm+ 1 satisfy
(3.6.46) λm+ 1 =F(ψm+ 1 ) = min
ψ∈S,ψ∈H⊥m
F(ψ),whereHm=span{ψ 1 ,···,ψm}, andHm⊥is the orthogonal complement ofHmin the sense of
(3.6.44).
It is clear that Assertions (1)-(4) of the theorem follow from (3.4.45) and (3.4.26). The
proof is complete.