Article Content

PDF

In 2012, Kholodenko and Silagadze published an enigmatic paper1 in which they showed for n = 1, 2, 3, … that

(1)

Their approach involved an intricate use of the concepts from quantum physics, namely, spinorization and the Hopf map, using which they were able to show that the integral is equivalent to the Landau–Zener formula. The Landau–Zener formula expresses the exact probability amplitude of a certain quantum system with a dynamical potential and its standard derivation uses either the contour integration (Landau’s approach) or asymptotics of a certain differential equation (Zener’s approach); see the work of Piquer i Méndez2 for a clear exposition of both approaches. Alternatively, see the work of Rojo3 for a matrix exponential solution or that of Glasbrenner and Schleich4 for a derivation using Markov property.

We were aware of the result (1) as early as 2015, in which we solved an integral related to I4 also introduced by Silagadze.5 Our derivation can be seen here.6 There is also an alternative derivation of the I4 related integral due to de Reyna7 using clever asymptotics of a certain sine-type power series.

However, back then, we lacked a proper mathematical background to tackle the general problem of In using only simple and purely mathematical concepts as we did in the case of I4. Now, exactly ten years later, we are returning to the problem with a new toolkit: contour integration. Unlike the original Landau derivation, we will focus only on the integral without mentioning its connection to quantum physics. Despite its ubiquitousness and broad applications in quantum physics, simple derivations of Landau–Zener formula are rare and many of them do not use clear assumptions. Therefore, the purpose of our paper is to present a physics-free derivation, mainly to make the result accessible to a broader mathematical community.

In our paper, we define four auxiliary functions of a real parameter t, which turn out to be relevant,

(2)

Those functions can be expressed in an exact form using Appell and generalized hypergeometric functions. The exact expressions are, however, not necessary for our derivation of In. Note that those functions are not independent. By substituting x → 1/x, we obtain an obvious relation between U and V,

(3)

Moreover, the complex-valued functions PQ can be expressed as linear combinations of real-valued-only functions U and V, respectively. In order to find those relations, we need to study a certain contour integral.

1. Definitions

Consider the following contour integral with parameters , and :

(4)

where we define . Both  and ln z functions are assumed to have branch cuts at the negative real axis (the so called principal branch), that is, arg  z ∈ (−ππ]. Before proceeding further, let us clarify all the functions appearing in the contour integral. Readers familiar with complex functions may skip the following paragraphs. Writing z = re with r > 0 and φ ∈ (−ππ], the complex square root function is defined by

(5)

so  in the formula above is given by

(6)

Similarly, we have for the complex logarithm,

(7)

Those definitions ensure both  and ln z are analytic on .

2. Real axis

Note that we recover the ordinary arctan function on reals. To see this, let , then  and thus

(8)

Substituting into the complex definition of arctan,

(9)

since 2 arctan x ∈ (−ππ).

3. Branch cuts

To locate the branch cuts of the complex function arctan z, we need to find which points on the z-plane are mapped onto the negative real axis in  as . Solving

(10)

we get the location of the branch cut in  as

(11)

where (z1z2) denotes a complex interval from z1 to z2 (a line segment between any ).

4. Imaginary axis

Let z = iyy > 0, so z = yeπi/2 and thus

(12)

The situation is different for the arctan function since it is no longer analytic on the whole imaginary axis. Let z = iyy ∈ (0, 1) (analytic part), then

(13)

where  is the usual inverse hyperbolic tangent function. As we have derived, the branch cut of arctan z function is located at the imaginary axis. Let us study how the function behaves in its neighbourhood. Let z = iy + ɛy > 1 with ɛ > 0 small positive (so z is taken to lie to the right from the branch cut). By Taylor expansion,

(14)

which gives

(15)

5. Asymptotics

Let |z| → ∞, expanding , we get

(16)

If  only (that is z → ∞e with ), we get arg(1 − 2i/z) ∈ (−π, 0) and thus

(17)

from which, dividing by 2i,

(18)

6. Pole expansion

Let us examine the behavior of arctan z near its singularity z = i in the first quadrant in . Let z = i − iɛeɛ > 0 and φ ∈ (0, π). Then,

(19)

from which

(20)

Next, the square brackets part of f(z) has a finite limit as z → i. By L’Hospitals rule,

(21)

similarly for  as z → i.

We are now ready to examine integral (4). It is convenient to denote

(22)

Let us consider the counterclockwise contour C consisting of integration curves Ckk = 1, …, 5,

(23)

as shown in Fig. 1.

 

 

FIG. 1.

Contour C.

Inside C, function f is analytic, so by the Cauchy integral formula,

(24)

Let us now parameterize the integrals on the individual integration curves; we denote  and ⊝ Ck as negatively oriented Ck.

  • C1z = x,   x ∈ (0, R),   R → ∞,   dz = dx,

    (25)

    As R → ∞, we may express the limit using the auxiliary functions defined earlier,

    (26)

    The integral on the right is trivial, we get

    (27)

  • ,

    (28)

    from which J2 → 0 as R → .

  • ⊝ C3z = iy + ɛ,  y ∈ (1 + ɛR),   dz = idy,

    (29)

    Substituting y → 1/y and letting R → ∞ and ɛ → 0+, we get, using auxiliary functions,

    (30)

  • ⊝ C4z = i − iɛeφ ∈ (0, π), ɛ → 0+, dz = ɛedφ,

    (31)

    Since J4 vanishes as ɛ → 0+.

  • ⊝ C5z = iyy ∈ (1, 1 − ɛ), ɛ → 0+, dz = idy,

    (32)

    As ɛ → 0+, we get, using auxiliary functions,

    (33)

By the Cauchy integral formula, J1 + ⋯ + J5 = 0. Taking the limit as R → ∞ and ɛ → 0+, we get for any ,

(34)

Comparing the terms with the coefficient A and B, respectively, we get

(35)

Solving for P and Q, we get, finally,

(36)

Relation (1) can be written recursively by introducing new functions τn as

(37)

with initial condition τ0(x) = 1. We have

(38)

Let us introduce a new parameter  using which we define a generating function T as

(39)

Equation (37) then gets transformed into

(40)

which is an integral equation for T(xt) subject to the boundary condition,

(41)

The solution of (40) at x → ∞ completely solves our problem of finding In since by expanding T(∞, t) in t when t → 0, we get

(42)

Note that rescaling by  with s > 0 and letting s → ∞, we get the stretching relations of T(xt),

(43)

we will see their importance later.

It is convenient to denote

(44)

Differentiating the integral Eq. (40) with respect to x, we get

(45)

At x = 0, we get . Second differentiation with respect of x gives

(46)

At x = 0, we get . Yet, another differentiation yields

(47)

which gives  at x = 0. One final differentiation results in the following differential equation:

(48)

This is an ordinary differential equation (ODE) with parameter t. Its solution at x → ∞ completely solves our problem of finding In (expanding T(∞, t) in t). For completeness, the following is the complete list of boundary conditions on T(xt):

Using the Mathematica  command, we can see numerically how the solution looks like for various parameters t (Fig. 2).

 

 

FIG. 2.

Numerical solution of ODE for T(xt).

In what follows, we establish a relation between T(t) and T(0, t). Let

(49)

Since T(xt) is continuous, bounded, and having a finite limit T(∞, t), the integral on the right converges for any  with . Assuming s is a positive real number, we get by substitution ,

(50)

It is thus convenient to define . Imposing the stretching relations (43),

(51)

(52)

Differentiating e(st) with respect to s and integrating by parts with respect to x yields

(53)

or in terms of E(st),

(54)

Writing out the right-hand side using Eq. (45) and changing the order of integration,

(55)

The inner integral is trivial and is equal to . Hence, we get a differential equation for E(st),

(56)

The solution of this ODE with the appropriate boundary condition  must be

(57)

The remaining condition on E(0+t) Eq. (52), therefore, yields as s → 0+,

(58)

In this section, we establish a relation between T(−t) = 1 and T(0, t). Let

(59)

That is, the integration domain is (−∞, 0). Again, the integral converges for any  with . Assuming s is a positive real number, we get by substitution ,

(60)

It is thus convenient to define analogously . Imposing the stretching relations (43),

(61)

(62)

Differentiating d(st) with respect to s and integrating by parts with respect to x yields

(63)

or in terms of D(st),

(64)

Writing out the right-hand side using Eq. (45) and changing the order of integration,

(65)

The inner integral is again trivial and is equal to

(66)

Hence, using the definition of α(t) and β(t) Eq. (44), we get a differential equation for D(st),

(67)

The solution of this ODE with the boundary condition  is

(68)

The remaining condition on D(∞, t) Eq. (61), therefore, yields plugging s → ∞,

(69)

where U and V are defined by Eq. (2).

The key to our problem is the realization that the solution we found for D(st) is valid for all  for which . The functions α(t) and β(t) are not chosen arbitrarily since they are defined using T(xt). We may also express them Eq. (44) in terms of d(st) as

(70)

The value dit) must be viewed as a limit of d(st) for s → ±i (since ). This gives us the final boundary condition. Considering only the case s → i, we get in terms of ,

(71)

On the other hand, D(it) can be calculated directly from the solution we found for D(st). Let s = σ ∈ (0, 1), then by Eq. (68),

(72)

Writing

(73)

and integrating out the 1/(1 − y2) term, we get

(74)

Note that the integral is now finite as σ → 1. Crucially, as σ approaches 1, since the first part already yields the correct limit , the term in the square bracket must vanish, otherwise, the limit as a whole would not exist. Hence, we get the following condition:

(75)

where P and Q are defined by Eq. (2). Substituting for P and Q from Eq. (36), we get

(76)

Comparing the real and imaginary parts, we obtain

(77)

which is a linear system of equations for α(t) and β(t), with the solution given as

(78)

Substituting α(t) and β(t) into Eq. (69),

(79)

from which, by Eq. (58),

(80)

The series expansion of T(∞, t) Eq. (42) immediately yields

(81)

A similar analysis also shows that

(82)

This study was supported by the Charles University, Project GA UK No. 71224 and by Charles University Research Centre Program No. UNCE/24/SCI/022. I thank Professor Miloš Zahradník for sparking my interest in peculiar complex unsolved problems in probability theory during his insightful lectures held in Prague. I also thank Lucie Abigail Kopelentová for her fruitful insights and especially for her critical first careful reading and language corrections of my work.

The authors have no conflicts to disclose.

D Beck: Writing – original draft (equal); Writing – review & editing (equal).

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

WhatsApp