This paper investigates the behavior of two particles with different masses interacting locally on a lattice, focusing on the properties of one particle subspaces in quantum walks across various dimensions.
Contribution
It introduces a detailed analysis of one particle subspaces in two-particle quantum walks with ultralocal interaction on arbitrary-dimensional lattices.
Findings
01
Characterization of one particle subspaces in two-particle quantum walks.
02
Analysis applicable to arbitrary lattice dimensions.
Abstract
We study one particle subspaces for two particles of different masses with ultra local interaction on a lattice of arbitrary dimension.
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Taxonomy
TopicsSurface and Thin Film Phenomena · Quantum and electron transport phenomena · Quantum Computing Algorithms and Architecture
Full text
One particle subspaces for two particle quantum walks with ultralocal
interaction
V. Malyshev
Mechanics and Mathematics Faculty, Lomonosov Moscow State University, Leninskie
Gory 1, Moscow, 119991, Russia, E-mail: [email protected]
A. Zamyatin
Mechanics and Mathematics Faculty, Lomonosov Moscow State University, Leninskie
Gory 1, Moscow, 119991, Russia, E-mail: [email protected]
Abstract
We study one particle subspaces for two particles of different masses
with ultra local interaction on a lattice of arbitrary dimension.
1 Introduction
We consider here continuous time quantum walks on the integer lattice
Zd⊂Rd. It is well known that for Hamiltonians invariant
w.r.t. some translation group there cannot be discrete spectrum.
The convenient and at the same time absolutely rigorous language (among
other approaches) which allows to formulate exactly what means bound
state in this case of N particle problem is the language of 1-,
2-, …particle subspaces.
Here we consider two particle random walk in any dimension with ultralocal
interaction. Main results are Theorems 4.1 and 4.2.
2 One particle quantum walk
In this section we will work in the complex Hilbert space l2(Zd).
Elements of this space will be denoted as f=(f(x),x∈Zd),
the scalar product is
[TABLE]
The standard orthonormal basis consists of the vectors δy,y∈Zd such that δy(x)=δx,y, where δx,y=1
if x=y and zero otherwise.
Define the following linear bounded operators
[TABLE]
where ek=(0,…,0,1,0,…,0)∈Zd is the unit vector in
the kth direction, that is with all zero coordinates except the
kth coordinate, λ,μ are real parameters. Moreover, we
assume that λ>0 as it is standardly accepted, although it
is not really a restriction. It is clear that all these Hamiltonians
are selfadjoint.
Put
[TABLE]
where φ=(φ1,…,φd) belongs to d-dimensional
torus
[TABLE]
Below the following integrals are important
[TABLE]
[TABLE]
where dφ=dφ1…dφd.
Note that c(d)=−c1(d). In fact,
[TABLE]
where φ+π=(φ1+π,…,φd+π).
These integrals coincide with the classical Watson integral [1]
[TABLE]
Namely,
[TABLE]
Note that for d=1,2 the integral c(d)=+∞, and for d≥3
it is convergent. In the paper [1] integral c(3) was calculated
explicitly. For d→∞ the asymptotic series is known, see
[2]:
[TABLE]
Let σess(H),σp(H) be essential and point spectra
of H [3].
The following theorem gives complete description of the spectrum.
Theorem 2.1
Let λ>0.
•
For all μ and all dimensions d we have σess(H)=[0,4λd];
•
For μ=0σp(H)=∅;
•
For d=1,2 and μ=0 the point spectrum σp(H)
consists of exactly one eigenvalue ν=ν(μ,λ), moreover
ν∈/σess(H);
•
For d=3,4
if ∣μ2λ∣<c(d), then the point spectrum σp(H)
consists of exactly one eigenvalue ν=ν(μ,λ), moreover
ν∈/σess(H);
if ∣μ2λ∣≥c(d), then σp(H)=∅.
•
For d≥5
if ∣μ2λ∣<c(d), then the point spectrum σp(H)
consists of exactly one eigenvalue ν=ν(μ,λ), moreover
ν∈/σess(H);
if μ2λ=c(d), then the point spectrum σp(H)
consists of exactly one eigenvalue ν=4λd, moreover ν∈σess(H);
if μ2λ=−c(d), then the point spectrum consists
of exactly one eigenvalue ν=0, moreover ν∈σess(H);
if ∣μ2λ∣>c(d), then σp(H)=∅.
•
In all cases, if μ>0, then the eigenvalue ν≥4λd;
if μ<0, then ν≤0; equality in these inequalities is achieved
only in the case when d≥5 and ∣μ2λ∣=c(d).
Thus, in dimension d≥5 and if ∣μ2λ∣=c(d),
one of the boundary points of the essential spectrum belongs to the
point spectrum. In all other cases the (unique) eigenvalue belongs
to the discrete spectrum (that is, does not belong to the essential
spectrum).
Theorem 2.1 is not new – similar result was proved in [4]
for μ>0 and λ=1, but this not a restriction for their
method. We included this theorem for our paper were self-contained.
Let X0 be a separable Hilbert space, and (Ω,τ) measurable
space with σ−finite measure τ. Vector function f(ω):Ω→X0
is called measurable, if for any ξ∈X0 the function (ξ,f(ω))X0
is measurable. Consider the Hilbert space X=L2(Ω,dτ;X0)
of measurable square integrate functions with values in X0.
The scalar product
[TABLE]
is finite as
[TABLE]
Then we will call X the direct integral with the layers isomorphic
to X0, and will write
[TABLE]
Let L(X0) be the space of linear bounded operators
in X0. Operator function A(ω):Ω→L(X0)
is called measurable, if the functions (χ,A(ω)χ′)
are measurable for all χ,χ′∈X0. Let L∞(Ω,dτ;L(X0))
be the space of measurable functions from Ω to L(X0)
such that esssup∥A(ω)∥<∞.
Consider the class of decomposable operators in X=L2(Ω,dτ;X0).
We shall say that linear bounded operator A:X→X is decomposed
in the direct integral if there exists measurable operator function
A(ω)∈L∞(Ω,dτ;L(X0)) such
that for any F∈X,(AF)(ω)=A(ω)F(ω).
It is commonly written as
[TABLE]
For any ω the operator A(ω) will be called the restriction
of the operator A on the corresponding layer.
4 One particle subspaces for two particle Hamiltonian
Free one particle quantum walk is defined by the Hamiltonian
[TABLE]
in the Hilbert space l2(Zd). Then the Hamiltonian for
two non-interacting particles is defined as
[TABLE]
in the space
L=l2(Zd)⊗l2(Zd)=l2(Z2d)
of functions f(x1,x2),(x1,x2)∈Z2d. We put
for concreteness λ1,λ2>0.
We will consider Hamiltonian H=H0+H1 for two particles with
the δ-interaction term
(H1f)(x1,x2)=μδx1,x2f(x1,x2)
where μ∈R, and δx1,x2 is the Kronecker symbol.
Let Uy,y∈Zd, be the translation group in L,(Uyf)(x1,x2)=f(x1+y,x2+y).
Note that H commutes with Uy.
The change of variables x1=x1,x=x2−x1 defines one-to-one
transformation Z2d={(x1,x2)}→Z2d=(x1,x)}
and unitary transformation W1:L={f(x1,x2)}→L={g(x1,x)=f(x1,x1+x)}.
The translation group now acts only on the first argument: (Uyg)(x1,x)=g(x1+y,x).
In these coordinates H (in fact W1HW1−1) can be written
as follows
[TABLE]
Consider the Hilbert space
[TABLE]
of square integrable functions F=F(φ,x), where φ∈Td,x∈Zd.
The scalar product is defined as
[TABLE]
It is known [3], that the Hilbert space L^=L2(Td)⊗l2(Zd)
is isomorphic to the space of square integrable functions l2(Zd)-valued
functions
[TABLE]
where dφ is the Lebesgue measure on Td.
Thus, according to the above definition, the space L^ can
be represented as the direct integral
[TABLE]
with identical layers M=l2(Zd).
The elements of L^ can also be considered either as complex
functions of two variables φ,x (then we can denote them as F(φ,x))
or as functions of one variable φ with values in the Hilbert
space l2(Z2) (in this case we can use notation F^(φ)).
Define the linear transformation F:L→L^=L2(Td)⊗l2(Zd)
[TABLE]
where φ=(φ1,…,φd)∈Td. Note that F
is a unitary operator. In fact, for any x∈Zd, by Parseval
equality,
[TABLE]
whence
[TABLE]
The adjoint operator F∗ is inverse to F
and acts as
[TABLE]
Consider the operator H^=FHF∗:L^→L^
which is unitarily equivalent to H:
[TABLE]
where F(φ,x)∈L^.
Define the operator function φ⟶H^(φ),φ∈Td, where H^(φ):l2(Zd)⟶l2(Zd),
such that
[TABLE]
for the vector u={u(x),x∈Zd}∈l2(Zd).
Then H^(φ) is measurable in the sense that the scalar product
(u1,H^(φ)u2) is measurable for any u1,u2∈l2(Zd).
By (6) and (7) the operator H^ can
be represented as
[TABLE]
where F^(φ)∈L^.
It follows from this representation that H^ can be decomposed
in the direct integral
[TABLE]
Consider now the spectrum of the operator H^(φ):l2(Zd)→l2(Zd)
for any fixed φ∈Td.
Let λ1,λ2>0. Consider the following nonnegative
function of α∈(−π,π]
[TABLE]
Note that the upper bound in the inequality
[TABLE]
is attained for α=0, and the lower bound for α=π.
Then ∣λ1−λ2∣/(λ1+λ2)≤r(α)≤1
and r(α)=0⟺λ1=λ2&α=π;r(α)=1⟺α=0. Denote
[TABLE]
where dψ=dψ1…dψd and φ=(φ1,…,φd)∈Td.
If φ=π=(π,π,…,π) (π
is d-dimensional vector) and λ1=λ2, then the
denominator under the integral equals zero and thus c(d,π)=∞.
Let r=minl=1,…,d{r(φl):r(φl)=0}>0. Denote
I(φ)={i1,…,is}, where 1≤i1<⋯<is≤d
is an array of indices such that r(φl)=0⟺l∈I(φ).
Here s=s(φ)=#{r(φl),l=1,…,d:r(φl)=0}.
Then
[TABLE]
and
[TABLE]
Similarly
[TABLE]
as 0≤r(φl)≤1.
Then
•
for d=1,2c(d,φ) is divergent for all φ∈Td;
•
for d≥3 the integral c(d,φ) diverges iff s(φ)≤2.
The following theorem is a generalization of Theorem 2.1. Put
[TABLE]
Note that 0≤β1(φ)≤β2(φ)≤4(λ1+λ2)d
and
[TABLE]
where 0∈Td is the vector consisting of zeros.
Theorem 4.1
Let λ1,λ2>0. For all μ∈R, for all dimensions
d and for all φ∈Td we have σess(H^(φ))=[β1(φ),β2(φ)].
For μ=0 we have σp(H^(φ))=∅ for all
φ∈Td.
Let μ=0.
For d=1,2 and for all φ∈Td the point spectrum σp(H^(φ))
consists of exactly one eigenvalue ν=ν(φ,μ,λ1,λ2),
where ν∈/σess(H^(φ));
For d=3,4
•
if condition {λ1=λ2&s(φ)≤2} holds,
then for all φ∈Td the point spectrum σp(H^(φ))
consists of exactly one eigenvalue ν=ν(φ,μ,λ1,λ2),
where ν∈/σess(H^(φ));
•
if condition {λ1=λ2∨s(φ)≥3}
holds, then
μ2(λ1+λ2)<c(d,φ)* implies
that σp(H^(φ)) consists of exactly one eigenvalue
ν=ν(φ,μ,λ1,λ2), where ν∈/σess(H^(φ));*
μ2(λ1+λ2)≥c(d,φ)*
implies that σp(H^(φ))=∅.*
For d≥5
•
if condition {λ1=λ2&s(φ)≤2} holds,
then for all φ∈Td the point spectrum σp(H^(φ))
consists of exactly one eigenvalue ν=ν(φ,μ,λ1,λ2),
where ν∈/σess(H^(φ));
•
if condition {λ1=λ2&s(φ)=3,4} holds,
then
μ2(λ1+λ2)<c(d,φ)* implies
that σp(H^(φ)) consists of exactly one eigenvalue
ν=ν(φ,μ,λ1,λ2), where ν∈/σess(H^(φ));*
μ2(λ1+λ2)≥c(d,φ)*
implies that σp(H^(φ))=∅.*
•
if condition {λ1=λ2∨s(φ)≥5}
holds, then
μ2(λ1+λ2)<c(d,φ)* implies
that for all φ∈Td the point spectrum σp(H^(φ))
consists of exactly one eigenvalue ν=ν(φ,μ,λ1,λ2),
where ν∈/σess(H^(φ));*
μ2(λ1+λ2)=c(d,φ)* implies that σp(H^(φ))
consists of exactly one eigenvalue ν=β2(φ);*
−μ2(λ1+λ2)=c(d,φ)* implies that
the point spectrum consists of exactly one eigenvalue ν=β1(φ);*
μ2(λ1+λ2)>c(d,φ)* implies
that σp(H^(φ))=∅.*
In all cases the eigenvalue ν≥β2(φ), if μ>0
and ν≤β1(φ), if μ>0.
Remark 4.1
The eigenvalue ν=ν(φ,μ,λ1,λ2) is the
unique solution of the equation
[TABLE]
where dψ=dψ1…dψd.
Remark 4.2
If φ=0 then the Hamiltonian H^(0),
defined in (7), coincides with the Hamiltonian H, defined
in (1)–(3) if λ=λ1+λ2.
Thus, theorem 2.1 follows from theorem 4.1.
Since
[TABLE]
we have
[TABLE]
and c(d,φ)=c(d) iff φ=0.
Thus for any φ∈Td the operator H^(φ) has the
only eigenvalue ν=ν(φ,μ,λ1,λ2) iff one
of the following conditions holds:
•
d=1,2 and μ=0
•
d=3,4,μ=0 and μ2(λ1+λ2)<c(d)
•
d≥5,μ=0 and μ2(λ1+λ2)≤c(d).
From implicit function theorem it follows that ν=ν(φ,μ,λ1,λ2)
is a continuous function of φ∈Td.
Now we give the following fundamental definition. A linear subspace
L1⊂L is called one-particle subspace if
•
L1 is invariant with respect to the translation group Us
and with respect to dynamics eitH,
•
there exists vector g0∈L such that L1 is generated
by the vectors {Usg0,s∈Zd}.
Theorem 4.2
Let μ=0. Then:
For d=1,2 there always exists unique one-particle subspace.
For d=3,4 one-particle space exists iff μ2(λ1+λ2)<c(d).
Then it is unique.
For d≥5 one-particle subspace exists iff μ2(λ1+λ2)≤c(d).
Then it is unique.
Let x1=(x11,…,x1d)∈Zd,x=(x1,…,xd)∈Zd.
Remark 4.3
One-particle subspace is generated by the vectors {Usg0,s∈Zd},
where
[TABLE]
belongs to l2(Z2d), and the function ν(φ) is
defined as the unique solution of the equation (10).
Consider the unitary transformation U:l2(Zd)→L2(Td)
defined by the one-to-one correspondence between elements of the orthonormal
basis δx, x=(x1,…,xd)∈Zd in l2(Zd)
and the elements of the orthonormal basis
[TABLE]
in L2(Td). That is Uf=F where
[TABLE]
In these terms H^=UHU−1:L2(Td)→L2(Td)
can be written as follows
[TABLE]
If for some μ there exists eigenvalue ν, then the corresponding
eigenfunction F satisfies the equation
[TABLE]
whence
[TABLE]
For μ=0 from (11) it follows that F≡0. It
means that for μ=0 there are no eigenvalues.
Note that if ν∈/[0,4λd], then the denominator in (11)
is not zero, and the function F belongs to L2(Td). As
it is shown in Lemma A.1 (see section A below), for
d≤4F∈/L2(Td) if ν∈[0,4λd]; and
for d≥5F∈/L2(Td) if ν∈(0,4λd).
It follows that in dimension d≤4 there are no eigenvalues on
the segment [0,4λd]. Similarly, in dimension d≥5 there
are no eigenvalues on the interval (0,4λd).
Let μ=0 and ν∈/(0,4λd). If we expand both
sides of the equality (11) in the basis (2π)−d/2exp{iφ1n1}…exp{iφdnd},
then all coefficients of both parts should coincide. In particular,
[TABLE]
Note that as F is not identically zero, then f(0)=0. We get
then the equation on ν:
[TABLE]
Consider the case d=1,2. Put
[TABLE]
and φ∈Td. For ν>4λd the integrand
[TABLE]
is strictly decreasing (if ν increases) and tends to [math] as
ν→+∞. It follows that the function p(ν)
is also strictly decreasing and p(ν)→0 as ν→+∞.
As it was mentioned above, for ν=4λd
[TABLE]
Thus, the function p(ν) strictly decreases from +∞
to [math] for ν>4λd. Then for μ>0 the equation (12)
has a unique solution if ν>4λd.
If ν=0 then p(0)=−∞. Similarly, we can get
that, if ν<0, p(ν) strictly increases from −∞
to zero (as ν decreases to −∞). That is why for μ<0
the equation (12) has unique solution for any ν<0.
It follows that the function p(ν) takes all values
except zero, moreover exactly once. Then for any μ there exists
exactly one ν, such that the equation (12) holds
and there exists unique (up to multiplicative constant) eigenfunction
F∈L2(Td), defined by (11), and such that
H^F=νF.
Thus, there exists unique eigenvalue ν such that ν∈/[0,4λd].
Moreover, ν<0 for μ<0, and ν>4λd for μ>0.
Let now d≥3. In this case for ν=4λd and for ν=0
the integrals
[TABLE]
are finite.
Similarly to above, we come to the conclusion that for ν≥4λd
the function p(ν) is strongly decreasing and p(ν)→0
as ν→+∞, and for ν≤0, if ν decreases,
the function p(ν) strongly increases and p(ν)→0
as ν→−∞. Thus, the function p(ν)
takes all values except [math] in the segment [−c(d),c(d)], moreover
each value only once. It follows that for any μ such that μ2λ≤c(d)
there is exactly one ν such that the equation (12)
holds. For μ2λ>c(d) the equation
(12) does not have solutions.
If μ satisfies the condition μ2λ<c(d),
then the solution ν of the equation (12) satisfies
condition ν∈/[0,4λd], and the function F in the
formula (11) always belongs to L2(Td). Thus,
for such μ there exists unique eigenvalue ν.
If μ2λ=c(d), then the solution of
the equation (12) will be the following: ν=0 for
μ2λ=−c(d) and ν=4λd for μ2λ=c(d).
As it follows from lemma A.1, for ν=0,4λd the function
F in the formula (11) belongs to L2(Td)
only in dimension d≥5. Whence, for μ satisfying the condition
μ2λ=c(d) in dimension d≥5 there
is unique eigenvalue.
For μ=0 from (15) it follows that G0(φ,ψ)≡0.
It follows that for μ=0 there are no eigenvalues.
Using the evident inequality
[TABLE]
the denominator in (15) is never zero for ν∈/[β1(φ),β2(φ)],
and the function G0(φ,ψ) evidently belongs to L2(Td).
As it is shown in Lemma A.1 (see section A below),
G0(φ,ψ)∈/L2(Td) for d≤4 and ν∈[β1(φ),β2(φ)];
and G0(φ,ψ)∈/L2(Td) when d≥5 and ν∈(β1(φ),β2(φ)).
Thus, in dimension d≤4 there are no eigenvalues ν∈[β1(φ),β2(φ)],
and in dimension d≥5 there are no eigenvalues such that ν∈(β1(φ),β2(φ)).
Let now ν∈/[β1(φ),β2(φ)]. Integrate both
parts of the equality (15) in the vector variable ψ:
[TABLE]
Note that ∫TdG0(φ,ψ)dψ=0, otherwise,
by (15), we had G0(φ,ψ)≡0.
After cancellation we get the following equation for ν:
[TABLE]
From periodicity of the integrand in each variable ψk it
follows:
[TABLE]
That is why ν(φ) satisfies the equation
[TABLE]
Let us study this equation. Denote
[TABLE]
For any fixed φ the function q(ν,φ) is defined for ν∈/(β1(φ);β2(φ)),
and at the end points of this interval it takes the values
[TABLE]
In fact, for ν=β2(φ) we get
[TABLE]
Similarly, for ν=β1(φ)
[TABLE]
For fixed φ∈Td the function q(ν,φ) is strictly
decreasing in ν, when ν∈/[β1(φ);β2(φ)].
For ν>β2(φ) the function q(ν,φ) is positive
and tends to [math] as ν→+∞. For ν<β1(φ)
the function q(ν,φ) is negative and tends to [math] when ν→−∞.
Thus, if c(d,φ)=+∞, then the function q(ν,φ) takes
all real values, except 0, and moreover only once, due to strict
monotonicity of the function q(ν,φ) in ν for any fixed
φ∈Td. That is why the equation (17) has a
unique solution ν(φ).
If c(d,φ) is finite, then the function q(ν,φ) takes
all values, except [math], from the finite interval [−c(d,φ),c(d,φ)].
It follows that there exists exactly one eigenvalue ν(φ) for
any φ∈Td iff the left hand part of the equation (17)
belongs to this interval, that is if ∣2(λ1+λ2)μ−1∣≤c(d,φ).
Also it is true that for μ>0 the eigenvalue ν(φ)≥β2(φ),
and for μ<0 we have ν(φ)≤β1(φ).
It remains to check that the eigenfunction, corresponding to ν(φ),
belongs to L2(Td). If the strict inequality ∣2(λ1+λ2)μ−1∣<c(d,φ)
holds, then ν(φ)∈/[β1(φ);β2(φ)]
and the eigenfunction G0, defined in (15), belongs
to L2(Td), as the denominator in (15) cannot vanish.
If ∣2(λ1+λ2)μ−1∣=c(d,φ)<∞, then
ν(φ)=β1(φ),β2(φ) and the eigenfunction
G0 belongs to L2(Td) only in dimension d≥5.
Consider the function φ→F^0(φ)={F0(φ,x),x∈Zd}∈l2(Z),
where F^0(φ) is the eigenvector of the operator H^(φ),
corresponding to the eigenvalue ν(φ). By (15),
[TABLE]
as
[TABLE]
Let us find the components F0(φ,x),x∈Zd, of the
eigenvector F^0(φ), by applying the operator G−1
to the function G0(φ,ψ):
[TABLE]
where xk are the coordinates of the vector x=(x1,…,xd)∈Zd.
The equality (19) can be deduced similarly to (16).
The equality (20) holds as
Introduce the linear subspace L^1 of the space L^
of functions of two variablẹs L^1={F(φ)K(φ,x),F(φ)∈L2(Td)}⊂L^.
This subspace is isomorphic to L2(Td) and is invariant with
respect to the Hamiltonian H^, where H^ acts in L^1
as the multiplication on the function ν(φ):
[TABLE]
Put g0=F∗K∈LL1=F∗L^1.
Then L1 is one-particle subspace, according to the definition
above, and L1 is generated by the vectors {gs=Usg0,s∈Zd}.
As the integrand is periodic and odd with respect to each variable
ψk
[TABLE]
Then
[TABLE]
Unicity of the one particle subspace
Assume the contrary: that there exists another one-particle subspace
L1′={gs′=Usg0′,s∈Zd}.
Put L^1′=FL1′. This subspace
is generated by the vectors Fs′=Fgs′=FUsg0′=ei(s,φ)Fg0′,
where s∈Zd. It follows that L^1′
looks like L^1′={F(φ)K′(φ,x),F(φ)∈L2(Td)}, where
K′=Fg0′, and the function K′
cannot be presented as
[TABLE]
for some function ν′∈L2(Td), where K is
defined in (21). Due to invariance of L^1′
with respect to the Hamiltonian H^ we get that for some function
ν1(φ)∈L2(Td) the following holds:
where K^′(φ)={K′(φ,x),x∈Zd}.
Remind that ν(φ) is the unique eigenvalue of the operator
H^(φ), as it was shown above. It follows that ν1(φ)≡ν(φ).
And then by (21), (22) for some function ν′∈L2
we will have K′(φ,x)=ν′(φ)K(φ,x). This
means that subspaces L^1 and L^1′ coincide,
what contradicts to our initial assumption.
Appendix A Appendix
Put
[TABLE]
where 0≤vk≤1. Consider the integral
[TABLE]
where y∈[−D,D] and D=∑k=1dvk. If y∈[−D,D],
then the denominator of the integrand can be [math] and the question
appears whether the integral b(y) is finite or not.
Let m be the number of nonzero coefficients vk. Denote I={i1,…,im},
where 1≤i1<⋯<im≤d is the array of indices such
that vl=0⟺l∈I. Without loss of generality
we can assume that I={1,…,m}, where m≤d. If m<d,
then the integrand depends only on the variables φ1,…,φm
and
[TABLE]
Thus it is sufficient to consider the integral
[TABLE]
where all vk>0.
Lemma A.1
If m≤4, then b(±D)=+∞. If m≥5, then b(D)<∞.
2. 2.
The integral b(y) for y∈(−D,D) is divergent in any dimension.
Proof of assertion 1
Let y=D and
[TABLE]
The integrand has singularity only at φ1=⋯=φm=0.
Consider the integral
[TABLE]
where Uδ⊂Rm is a neighborhood of the point φ1=…=φm=0
of small radius δ.
From the Taylor expansion cosφ−1=−φ2/2+O(φ4)
it follows that for sufficiently small neighborhood Uδ
of the point φ1=…=φm=0 we have
[TABLE]
First of all we do the change of variables φk:=vkφk,
keeping the same notation for the new variable, and then use spherical
coordinates (see, for example, [9], pp. 313)
[TABLE]
where α1,…,αm−2∈[0,π]αm−1∈[0,2π].
The Jacobian of this transformation J=rm−1Ψ(α1,…,αm−1)=rm−1sinm−2α1sinm−3α2…sinαm−1.
Then
[TABLE]
where Sm−1 is the (m−1)-dimensional sphere of radius 1
and Cv−1=v1…vm. Then
[TABLE]
Thus for m≥5 the integral diverges; but for m≤4 it is
finite.
If y=−D, then
[TABLE]
Proof of assertion 2
Let now y∈(−D,D). We shall prove the divergence of the integral
b(y). We shall find point a∈Tm and its neighborhood V(a)⊂Tm
so that the integral
[TABLE]
diverges. All the following is not more than a technical exercise
but it is useful to do it accurately.
For d=1
[TABLE]
Take point a such that cosa=y/v1,−v1<y<v1.
Then sina=0 and in sufficiently small neighborhood V(a)
we have cosφ−y/v1=(−sina)(φ−a)+O((φ−a)2).
At the point a the integrand (v1cosφ−y)−2
has singularity of the type (φ−a)−2. That is
why the integral
[TABLE]
diverges.
Let m>1. Consider the hypersurface Γ
[TABLE]
Choose the point a=(a1,…,am)∈Γ such that all ai∈(0,π).
Then ∇γv(a)=0, where γv(φ)=v1cosφ1+⋯+vmcosφm,φ=(φ1,…,φm).
Below we shall use the following notation. Vector ψ=(ψ1,…,ψm)∈Γ
will denote the corresponding point on the surface, vector φ=(φ1,…,φm)∈Tm
will denote an arbitrary point of the torus Tm=(−π,π]×⋯×(−π,π],
vector ξ=(ψ1,…,ψm−1) – coordinates on the surface
Γ. Then ψm is a function of ξ so that (ξ,ψm(ξ))∈Γ.
Let a′=(a1,…,am−1)∈Rm−1. Without loss of
generality we can assume that vm=1. In sufficiently small neighborhood
U(a′)⊂Tm−1 of a′ the surface Γ
can be defined by the following equations
[TABLE]
where ξ=(ψ1,…,ψm−1)∈U(a′).
We shall prove that in some neighborhood V(a) of a the integrand
is asymptotically behaves as c(φ)/ρ2(φ),
where ρ(φ) is the distance of point φ∈V(a)
to Γ and c(φ) is some smooth function in V(a).
The divergence follows from this.
Let n(ξ)=(n1(ξ),…,nm(ξ)) be the unit
normal to the surface at the point ψ=(ξ,ψm),ξ∈U(a′)
where
[TABLE]
where i=1,…,m−1,nm(ξ)=(C(ξ))−1 and
[TABLE]
Let ψ(φ)∈Γ be the point such that φ belongs
to the normal at the point ψ(φ).
Define V(a)={φ:ρ(φ)<δ,ψ(φ)∈S(a)},
where S(a)=(ψ=(ξ,ψm(ξ)):ξ∈U(a′))⊂Γ.
Then S(a)=V(a)∩Γ.
In the integral
[TABLE]
we do the following change of variables
[TABLE]
[TABLE]
where ξ=(ψ1,…,ψm−1)∈U(a′) and r∈Iδ,
interval of length 2δ. Then
[TABLE]
where φ(ξ,r)=(φ1(ξ,r),…,φm(ξ,r)),ψ=(ξ,ψm(ξ))∈Γ, and
[TABLE]
Denote by J=J(ξ,r) the Jacobian of the transformation
As ∥∇γv(a)∥>0, we have in this neighborhood
of a,
[TABLE]
Also
[TABLE]
and we obtain the desired divergence.
Bibliography6
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] G.N. Watson (1939) Three triple integrals, The Quarterly Journal of Mathematics, Vol. 10, issue 1.
2[2] G.S. Joyce and I.J. Zucker (2001) Evaluation of the Watson integral and associated logarithmic integral for the d-dimensional hypercubic lattice, J. Phys. A: Math. Gen., Vol. 34, Issue 36, pp. 7349–7354.
3[3] M. Reed and B. Simon (1972) Methods of Modern Mathematical Physics, Vol 1. Academic Press.
4[4] F. Hiroshima, I. Sasaki, T. Shirai and A. Suzuki (2012) Note on the spectrum of discrete Schrodinger operators , J. Math-for-Industry, Vol. 4, 105–108.
5[5] M. Reed and B. Simon (1978) Methods of Modern Mathematical Physics, Vol 4. Academic Press.
6[9] G.E. Shilov (1972) Mathematical analysis. Functions of several real variables, Nauka.