# Temperature scaling of the Dzyaloshinsky–Moriya interaction in the spin wave spectrum

###### Abstract

The temperature scaling of the micromagnetic Dzyaloshinsky–Moriya exchange interaction is calculated for the whole range of temperature. We use Green’s function theory to derive the finite-temperature spin wave spectrum of ferromagnetic systems described by a classical atomistic spin model Hamiltonian. Within this model, we find universal expressions for the temperature scaling not only of the Dzyaloshinsky–Moriya interaction but also of the Heisenberg exchange stiffness and the single-ion anisotropy. In the spirit of multiscale models, we establish a clear connection between the atomistic interactions and the temperature-dependent coefficients in the spin wave spectrum and in the micromagnetic free energy functional. We demonstrate that the corrections to mean-field theory or the random phase approximation for the temperature scaling of Dzyaloshinsky–Moriya and Heisenberg exchange interactions assume very similar forms. In the presence of thermal fluctuations and Dzyaloshinsky–Moriya interaction an anisotropy-like term emerges in the spin wave spectrum which, at low temperature, increases with temperature, in contrast to the decreasing single-ion anisotropy. We evaluate the accuracy of the theoretical method by comparing it to the spin wave spectrum calculated from Monte Carlo simulations.

###### pacs:

## I Introduction

Chirality in magnetic systems appears due to the broken inversion symmetry of the crystal. Microscopically it stems from a relativistic exchange interaction between magnetic moments known as the Dzyaloshinsky–Moriya interactionDzyaloshinsky (); Moriya (). Originally introduced to account for the weak magnetic moment of some antiferromagnetic systemsDzyaloshinsky (), it has been demonstrated that this type of coupling gives rise to chiral spin structures ranging from domain wallsThiaville (); Ryu () through spin spiralsBode (); Meckler () to magnetic skyrmionsBogdanov (); Muhlbauer (); Yu2 (). As Dzyaloshinsky–Moriya interaction results from spin-orbit interactions, it represents a substantial aspect of a new field of research called spin-orbitronics, with potential applications in future spintronic devicesAllwood (); Parkin (); Fert ().

Besides influencing static spin configurations, the Dzyaloshinsky–Moriya interaction also lends a chiral character to the magnetic excitations of the system, which are known as magnons or spin waves. In ferromagnetic systems, this is observable in the shift of the minimum of the parabolic spin wave dispersion relation away from the point, thereby lifting the energy degeneracy between magnons propagating in opposite directionsMelcher (); Udvardi (). Common experimental methods for determining this asymmetry include neutron scattering for bulk magnetsColdea (); Sato (), and Brillouin light scatteringNembach (); Belmeguenai (), spin-polarized electron energy lossZakeri (); Zakeri3 (); Zakeri2 () and propagating spin wave spectroscopyLee () for thin films. Recent theoretical investigations based on the micromagnetic model have proposed magnonic devices based on the chiral character of spin wavesGarcia-Sanchez (); WYu ().

In spin glasses it has been demonstrated that the addition of nonmagnetic heavy metal impurities enhances the anisotropy field. This effect has also been attributed to the presence of the Dzyaloshinsky–Moriya interaction in connection with the noncollinear alignment of the spins in spin glassesFert2 (); Levy (). The chiral interaction is also responsible for the canting of spins at the edges of nanomagnets, which also induces an anisotropy field competing with demagnetization effectsCubukcu (). However, the Dzyaloshinsky–Moriya interaction does not influence the orientation of the ground state in extended ferromagnetic systemsMelcher (); Udvardi (), since in this case all spins are parallel to each other.

Significant research attention has been turned towards investigating phase transitionsMuhlbauer (); Yu2 () and determining the lifetime of metastable spin structuresHagemeister (); Oike (); Rozsa2 () in chiral systems at finite temperature. The microscopic background of such relaxation mechanisms is the thermal fluctuation of localized magnetic moments, leading to a reduced magnetization at higher temperature. Micromagnetic models rely on the approximation that the magnetization is only slowly varying over the sample, leading to an effective averaging of the magnetic moments over small volumes. During this averaging, it is necessary to take into account the temperature dependence of the magnetization as well as that of the effective interaction parameters. These effective interaction parameters are crucial for understanding phase transitions and lifetimes of metastable states.

Notably, dynamic properties can be calculated through finite-temperature approaches such as the Landau–Lifshitz–Bloch equationChubykalo-Fesenko (); Atxitia2 () that fundamentally rely on temperature-dependent micromagnetic parameters. Such approaches are especially important in the emerging field of spin caloritronics, concerning the interplay between spin, charge and heat degrees of freedom. It has been established that domain wall motion in ferromagnetsSchlickeiser () and antiferromagnetsSelzer () under thermal gradients is dominated by the so-called entropic torque, defined by the temperature derivative of the Heisenberg exchange stiffness. It is expected that further dynamical effects appear in the presence of the Dzyaloshinsky–Moriya interaction. For instance, in the field of ultrafast spin dynamics the emergence of metastable magnetic textures was demonstrated, such as vortex-antivortex pairs in Fe thin filmsEggebrecht () or skyrmions in thin TbFeCo filmsFinazzi (). Therefore, it is important to develop theoretical methods for the calculation of effective temperature-dependent parameters.

Analytical results for specific types of interaction parameters are available in the literature, usually given as a power law of the magnetization . The most well-known example is the power law for th order magnetic anisotropyCallen2 (), although deviations from this behavior can also be found in certain systemsOkamoto (); Asselin (). For the Heisenberg exchange interaction, most applications use the result of mean-field theoryNembach (), where it scales with the second power of the magnetization ; however, it has been demonstrated that corrections to this approximation are necessary in most systemsHeider (); Atxitia ().

In comparison, the temperature dependence of the Dzyaloshinsky–Moriya interaction seems to be less explored, and the implicit estimations provided so far do not fully agree with each other. For instance, in Ref. Barker () it was concluded that the temperature dependence of the size of antiferromagnetic skyrmions may be described by an expression containing temperature-independent Dzyaloshinsky–Moriya interactions. In contrast, a significant softening of the chiral interaction was reported for ultrathin ferromagnetic films in Ref. Kim (). In Ref. Hasselberg (), it was found that the wavelength of spin spirals, proportional to the ratio between the Heisenberg and Dzyaloshinsky–Moriya interactions, is independent of the temperature, implying a similar temperature scaling for the two terms. The independence of the period of noncollinear order on the temperature has also been demonstrated experimentally in several systemsSonntag (); Sessi (); Bergmann (); Shibata (). Solving this kind of apparent discrepancy requires theoretical methods that directly provide the temperature scaling of both Heisenberg and Dzyaloshinsky–Moriya micromagnetic exchange interactions.

Preliminary results along this line were provided in Ref. Rozsa (), where the spin wave spectrum was calculated for a ferromagnetic monolayer containing Dzyaloshinsky–Moriya interaction, and the softening of the frequencies at low temperature was described by linear spin wave theory. Green’s function theory in statistical mechanicsCallen () provides a more robust theoretical framework for the description of thermal spin fluctuations and the finite-temperature spin wave spectrum over wide temperature ranges in both quantum and classical systemsBastardis (); Campana (). Originally developed for the determination of the temperature scaling of the magnetization, the method was naturally extended for calculating effective temperature-dependent interaction parametersNakamura (); Bastardis (). The application of Green’s function theory to the Dzyaloshinsky–Moriya interactionYou (); Cho () so far has been restricted to the random phase approximationTyablikov (), which neglects the corrections appearing due to correlations between the spinsAtxitia (); Bastardis ().

In this paper, we investigate the temperature dependence of the Dzyaloshinsky–Moriya interaction in a ferromagnet. Using Callen’s formulation of Green’s function theoryCallen (), we find significant corrections to mean-field theory or random phase approximation due to transversal spin fluctuations. These corrections assume very similar form for the Heisenberg and Dzyaloshinsky–Moriya interactions, in agreement with the microscopic description which derives the two quantities from the same principleMoriya (); Fert2 (); Nembach (). Furthermore, we demonstrate that the Dzyaloshinsky–Moriya interaction induces an anisotropy-like term which increases the spin wave frequency at zero wave vector, an effect which is only observable at finite temperature in ferromagnets. By comparing the results to Monte Carlo simulations, we demonstrate that the theory successfully accounts for most of the fluctuation corrections.

## Ii Finite-temperature spin wave spectrum

### ii.1 Green’s function theory

For the description of the magnetic system, we introduce the classical atomistic spin Hamiltonian

(1) | |||||

Here the variables denote unit vectors, is the Heisenberg exchange interaction between atoms at sites and , is the Dzyaloshinsky–Moriya vector, is the single-ion magnetocrystalline anisotropy, is the magnetic moment, and is the external magnetic field. The number of spins in the lattice will be denoted by . We will assume that the ground state of the system is ferromagnetic along the direction. The interaction coefficients in Eq. (1) are determined by microscopic electronic processes such as the overlap between wave functions (direct exchange) or hopping processes (superexchangeAnderson (); Moriya ()). In a multiscale descriptionAtxitia (), the coefficients in Eq. (1) may be determined from ab initio calculations. It is not possible to consider the interplay between the noncollinear spin arrangement and the electronic structureSzilva () in the simple model presented here; therefore, we will suppose that are independent of temperature on the scale where magnetic ordering occurs.

For calculating the spectrum of spin wave excitations at finite temperature, we will use the classical Green’s function formalismCallen (); Bastardis (), which results in a set of self-consistency equations. For their derivation see Appendix A. The spin wave spectrum in Fourier space reads

(2) |

with the electron’s gyromagnetic ratio, and effective temperature-dependent interaction parameters . The correspondence between these parameters and the interaction coefficients in the atomistic Hamiltonian Eq. (1) is given by

(3) | ||||

(4) | ||||

(5) |

where denotes the component of the Dzyaloshinsky–Moriya vectors .

Equations (2)-(5) must be solved self-consistently together with the temperature scaling of the magnetization

(6) |

where

(7) |

The transversal correlation function is given by

(8) |

Following the multiscale description, Eqs. (3)-(5) will be used to determine the temperature-dependent interaction parameters in a micromagnetic model, which is based on a continuum free energy functional. For simplicity, here we will only consider spin modulations along the direction which is perpendicular to the magnetization; a generalization to more spatial dimensions can be found in Appendix B. The free energy density is given by

(9) |

where denotes the unit length spin vector field,

(10) |

is the linear Lifshitz invariantDzyaloshinsky (), and are the micromagnetic effective Heisenberg exchange, Dzyaloshinsky–Moriya interaction, and anisotropy, respectively. The magnetization density reads

(11) |

where is the Wigner–Seitz volume occupied by a single atom in the lattice.

Unlike the and parameters in the atomistic model, the coefficients appearing in the micromagnetic model are temperature-dependent. Their importance lies in the fact that they are directly related to experimentally observable quantities such as the macroscopic magnetization, the domain wall width (), skyrmion radius, or spin spiral wavelength. Furthermore, in the presence of temperature gradients it has been shown that analytical expressions for thermomagnonic torques can be directly derived from the temperature dependence of the micromagnetic Heisenberg exchangeSchlickeiser (); Selzer ().

Several methods have been proposed for connecting the atomistic and micromagnetic parameters. For instance, and can be calculated via the temperature dependence of the domain wall width and free energy in an implicit wayAtxitia (). In this paper, we connect the quantities by comparing the spin wave spectrum obtained from the two approaches. For spin waves propagating along the direction, expanding Eq. (2) for long wavelengths (small ) yields the correspondence

(12) | |||||

(13) | |||||

(14) |

where stands for the position of the spin in the lattice. Thus, corresponds to the distance between the spins and along the axis.

### ii.2 Discussion

Equations (3)-(5) together with (12)-(14) constitute the main results of this paper. Using these expressions, it is possible to directly connect first principles calculations to micromagnetic models in a multiscale approach. This procedure may enable bypassing time-consuming atomistic spin model simulations for the determination of micromagnetic parameters. The calculations may also be generalized to quantum spins, which modifies the expressions Eqs. (6)-(8) for the self-consistency by accounting for quantum statisticsCallen () instead of the classical statistical limit considered here, but leaves Eqs. (3)-(5) for the effective parameters essentially unchanged.

The accuracy of Eqs. (3)-(5) is determined by the fluctuation corrections, which were first suggested to be included by CallenCallen (), with the appropriate classical limit given in Refs. Bastardis (); Campana (). This is encapsulated in the terms proportional to the transversal correlation function . Without this term, one would obtain in the micromagnetic description, corresponding to the random phase approximationTyablikov () in the language of Green’s functions. Neglecting the fluctuations may also be interpreted as a mean-field approximationAtxitia ().

In the case of the single-ion anisotropy, it is long known that the correlation corrections play an important role; at low temperature, they modify the magnetization dependence of the micromagnetic anisotropy coefficient from to Callen2 (), a significantly faster decrease than in the random phase approximation.

For the Heisenberg exchange interaction, the correlation correction has an opposite sign (cf. Eqs. (3) and (5)), which leads to a slower decrease of the parameter with temperature compared to the prediction of the random phase approximation. If the magnetization dependence of the exchange stiffness is expressed in the form of a power law at low temperature, this yields . As discussed in Ref. Atxitia (), the exact value of the exponent depends on the system parameters, in particular the number of neighbors considered and the strength of the anisotropy. Note that Eqs. (3)-(5) describe the temperature dependence of the effective interaction coefficients for arbitrary pairs of atomsSwendsen (); since the correlation function decays for further neighbors, the random phase approximation gives a better prediction in this case. Furthermore, the correlations decrease faster if the correlation length is smaller, which is directly connected to the spin wave frequency at zero wave vector by . The correlation length is expected to play an especially important role in two-dimensional systems, where the fluctuations destroy long-range order at finite temperature in the absence of the spin wave gapMermin ().

For the Dzyaloshinsky–Moriya interaction, Eqs. (3)-(4) demonstrate that the correlation correction has the same sign as in the case of the Heisenberg exchange interaction. Regarding the magnitude of the corrections in Eqs. (3)-(4), note that the correlation function appears as a coefficient of the Dzyaloshinsky–Moriya interaction in the Hamiltonian Eq. (1), while is connected to the Heisenberg interaction. Therefore, it is expected that the ratio of the real and imaginary parts of the correlation function follow the ratio of the interaction coefficients which they are attributed to,

(15) |

Substituting Eq. (15) into Eqs. (3)-(4) yields a very similar temperature dependence for and . This is in agreement with the observation that the wavelength of spin spirals () is practically independent of the temperatureHasselberg ().

Finally, the Dzyaloshinsky–Moriya interaction also influences the temperature dependence of the anisotropy term as shown in Eq. (5). This is surprising because it is known that the Dzyaloshinsky–Moriya interaction does not influence the spin wave spectrum of ferromagnetic systems at at zero temperature, it only induces an asymmetry between and Udvardi (). Since the system gains energy from the Dzyaloshinsky–Moriya interaction in Eq. (1) if is positive, the anisotropy term induced by the Dzyaloshinsky–Moriya interaction always has a positive sign and increases at low temperature with the fluctuations. This is contrary to the temperature dependence of the single-ion anisotropy, which always decreases ( at low temperature). While all the spins are parallel in the ferromagnetic ground state, at finite temperature the spins are fluctuating, and the Dzyaloshinsky–Moriya interaction opens a finite average angle between them, which induces an anisotropy term in the spin wave spectrum. An analogy can be drawn between the correlated random fluctuations of the spins and the similar anisotropy effect observed in spin glassesFert2 (), where the finite average angle between the spins appears because of the random relative positions of the magnetic atoms and nonmagnetic impuritiesLevy ().

## Iii Comparison to Monte Carlo simulations

In order to illustrate the theory outlined above for obtaining the effective temperature-dependent interaction coefficients Eqs. (3)-(5), as a model system we considered a square lattice, representing a magnetic monolayer on a cubic surface. We chose an ultrathin magnetic film in order to examine the pronounced role of the spin fluctuations, and because such systems play an important role in suggested applications based on the Dzyaloshinsky–Moriya interactionFert (); Garcia-Sanchez (). As displayed in Fig. 1, we used only nearest-neighbor Heisenberg and Dzyaloshinsky–Moriya interactions, with the Dzyaloshinsky–Moriya vectors pointing perpendicular to the lattice vectors due to the symmetry of the system. The second-order single-ion anisotropy in Eq. (1) can only describe an out-of-plane easy axis or an easy plane in the considered system by symmetry, and this term was neglected to simplify the calculations. We applied an in-plane magnetic field along the direction to force the system in an in-plane ferromagnetic state and calculated the spin wave frequencies with propagation vectors along the perpendicular direction. This is a standard procedure for the experimental determination of the Dzyaloshinsky–Moriya interaction in ultrathin films, for example see Refs. Zakeri (); Nembach (); Belmeguenai ().

In the present case, the spin wave spectrum Eq. (2) along the direction may be expressed as

(16) | |||||

with the connection to the atomistic parameters and as defined in Eqs. (3)-(5). Importantly, the anisotropy term is only induced by the presence of thermal fluctuations and the Dzyaloshinsky–Moriya interactions. In the considered system with only nearest-neighbor interactions, the ratio is independent of the temperature, emphasizing the strong analogy between the Heisenberg and Dzyaloshinsky–Moriya exchange interactions. For a proof see Appendix C.

For checking the accuracy of the theoretical model, we performed Monte Carlo simulations on an lattice. For the details of the simulations see Appendix D. The simulations converge to the thermal equilibrium of the system described by the Hamiltonian Eq. (1), and include all higher-order correlation functions neglected in the model. The spin wave frequencies may be expressed by rewriting Eq. (8) in the form

(17) |

where the right-hand side contains only expectation values in thermal equilibrium, which can be calculated from Monte Carlo simulations. The softening of the spin wave frequencies with temperature and the comparison to the theoretical model is illustrated in Fig. 2.

After obtaining the spin wave frequencies, an expression of the form of Eq. (16) was fitted to the dispersion relation to obtain the effective finite-temperature coupling coefficients. The results of the Monte Carlo simulations are compared to the theoretical predictions in Fig. 3. The fluctuation corrections can modify the interactions significantly, by almost 10% of their zero-temperature value at maximum. The deviation from the result of the random phase approximation or mean-field model due to spin correlations is most pronounced at low temperature. Including the correlation corrections using Green’s function theory in Callen’s formulation as discussed above gives reasonable quantitative agreement with the simulation results over the whole range in magnetization, while higher-order corrections are less significant. The simulations also confirm that the temperature dependence of the Heisenberg and Dzyaloshinsky–Moriya interactions is very similar; the two functions completely coincide in the theoretical model as discussed above.

For a quantitative comparison between theory and simulations, we transformed the temperature-dependent coefficients to the corresponding quantities in the micromagnetic model – see Eqs. (12)-(13) –, and fitted power functions of the form to the data in the range . In the case of the simulation results, we obtain (the values agree within the given precision), Green’s function theory in Callen’s formulation yields , while the random phase approximation leads to the well-known mean-field result . Exponents between and were calculated for the temperature-dependence of the Heisenberg exchange stiffness of three-dimensional magnets in Ref. Atxitia (), indicating that the fluctuation corrections play an even more pronounced role in the presently considered two-dimensional ultrathin film. Note that as the magnetization decreases with increasing temperature, the correlation corrections also tend to zero, and the mean-field exponent is recovered both from simulations and theory.

Another important prediction of the theoretical model is the anisotropy term induced by the Dzyaloshinsky–Moriya interaction at finite temperature. This can be visualized by calculating the frequency of the spin wave with zero wave vector, , as shown in Fig. 4. In the considered system, for the induced anisotropy Green’s function theory predicts

(18) |

The energy gain from spin canting is generally several percents of the Heisenberg exchange in ultrathin films, and the fluctuation corrections can almost reach a maximum of 10% as shown in Fig. 3. Since the typical strength of the Heisenberg exchange is on the order of , the maximum of the induced anisotropy may be on the order of , which is comparable in magnitude to the demagnetization anisotropy induced by dipolar interactions in ferromagnetic monolayers – for typical parameter values obtained from ab initio calculations see e.g. Ref. Vida ().

## Iv Summary

In summary, we established a connection between the temperature-independent atomistic interaction parameters in Eq. (1) and the effective temperature-dependent micromagnetic interaction parameters in Eq. (9) by calculating the spin wave spectrum. In the atomistic calculations, we relied on the classical version of the Green’s function formalism as formulated in Ref. Callen (). By comparing the theoretical calculations to Monte Carlo simulations, we demonstrated on a simple model system that the method describes the finite-temperature corrections due to spin fluctuations with a high precision, while the well-known mean-field or random phase approximation gives significantly less accurate results. The correlation corrections for the Heisenberg and Dzyaloshinsky–Moriya exchange interactions are very similar and are determined by the spatial decay of the transversal spin correlation function, while the single-ion anisotropy term must be treated differently. We also showed that the presence of the Dzyaloshinsky–Moriya interaction can give rise to an additional anisotropy accompanied by an increasing spin wave frequency at zero wave vector with increasing temperature, although it does not modify it at zero temperature. This effect can be attributed to the Dzyaloshinsky–Moriya interactions in connection with the finite angle between the fluctuating transversal spin components of the spins.

Overall, it can be concluded that the method presented here may be used for the determination of temperature-dependent micromagnetic interaction parameters in multiscale models, possibly circumventing time-consuming atomistic spin dynamics simulations. Due to the simple form of Eqs. (3)-(5), the close analogy with quantum spin models, the fact that the expressions do not explicitly rely on the symmetry or dimension of the system, and the possible generalization to other types of magnetic order, it is expected that the results presented in this paper may motivate further studies for the determination of temperature-dependent micromagnetic parameters in magnetic materials.

###### Acknowledgements.

The authors would like to thank Rocio Yanes for enlightening discussions. Financial support for this work was provided by the Deutsche Forschungsgemeinschaft via SFB 767, SFB 668, and the Priority Program SpinCaT, and by the National Research, Development and Innovation Office of Hungary under project No. K115575.## Appendix A Green’s function theory

Here it will be discussed how the excitation frequencies of the classical spin system Eq. (1) may be calculated at finite temperature. Following the derivation for the quantum caseCallen (), first one has to define the Poisson brackets of the spin componentsBastardis ()

(19) |

which generate the equation of motion through the well-known formula

(20) |

If the ground state is ferromagnetic along the direction as supposed in the main part of the manuscript, it is advised to introduce the variables satisfying

(21) | |||||

(22) |

Using the transformed variables, the Hamiltonian Eq. (1) may be rewritten as

(23) |

In spin wave theory, the equations of motion must be linearized in the variables . It can be shown that the terms proportional to and only yield higher-order corrections, and they will be neglected in further calculations. Consequently, we will also drop the index of the Dzyaloshinsky–Moriya vector component parallel to the magnetization. The equations for and decouple, and may be diagonalized in Fourier space,

(24) |

yielding

(25) |

with the spin wave frequencies

(26) |

The Fourier transforms of the interaction coefficients are defined as

(27) | |||||

(28) |

Note that Eq. (28) is real-valued, because is antisymmetric in the lattice indices.

At finite temperature, following Refs. Callen (); Bastardis () we will consider the time-dependent Green’s function

(29) |

where is the Heaviside function, denotes averaging in thermal equilibrium, and is a real parameter. Instead of the homogeneous Eq. (20), this satisfies the inhomogeneous equation of motion

(30) | |||||

The Poisson bracket

(31) | |||||

introduces higher-order Green’s functions on the right-hand side of Eq. (30). These are handled within the decoupling approximation,

(32) |

It was demonstrated in Ref. Bastardis () that in the classical limit Eq. (32) may be used both for exchange interactions and single-ion anisotropy terms. In the literature there exist several schemes for the decoupling coefficient ; we used the value from Refs. Callen (); Bastardis () in the main text, since we found that generally this gives the best agreement with the spin wave spectrum calculated from the simulations.

After performing Fourier transformation in time () and space,

(33) | |||||

(34) |

Eq. (30) may be rewritten as

(35) |

with

(36) |

Note that from the Poisson bracket Eq. (22).

The spin wave frequencies read

(37) |

By performing inverse Fourier transformation in space, one arrives at the expression

(38) | |||||

Collecting the real and imaginary parts in the off-diagonal () part of Eq. (38) yields Eqs. (3)-(4) for the effective temperature-dependent Heisenberg and Dzyaloshinsky–Moriya interactions, while the extra terms in the diagonal part may be collected into the anisotropy term Eq. (5).

In order to solve Eqs. (35)-(37), one has to introduce the spectral density

(39) |

and use the spectral theorem

(40) |

the classical limit of the corresponding quantum expressionFrobrich (). Since Eq. (35) describes pure single-particle excitations in the current approximation, it simplifies to Eq. (8) for in Fourier space.

In real space, the appropriate form of Eq. (40) is

(41) |

with from Eq. (7). Both sides of Eq. (41) may be expressed by the momentum generating function

(42) |

by using the Poisson brackets, yielding the differential equation

(43) |

where denotes differentiation with respect to .

The solution of Eq. (43) satisfying and regularity conditions for reads

(44) |

Equation (44) may also be obtained as the classical limit of the corresponding quantum expressionCallen (), or by calculating in a mean-field model and using the analogy between the probability densities of mean-field and Green’s function theoriesCallen3 (). Finally, we mention that calculating yields Eq. (6) for the magnetization.

## Appendix B Micromagnetic model

In the general case, the micromagnetic free energy functional of a three-dimensional system described by the atomistic Hamiltonian Eq. (1) is given by

(45) | |||||

where and are both tensorsSchweflinghaus ().

For the Heisenberg exchange interaction, Eq. (45) expresses that the coefficients may be anisotropic in real space, i.e. they may differ for neighbors along different directions. However, all anisotropy in spin space is included in the term, since the model did not contain two-ion anisotropy terms. The Heisenberg exchange tensor may be expressed as

(46) |

indicating that it is symmetric in the Cartesian indices.

For the Dzyaloshinsky–Moriya interaction, the linear Lifshitz invariant is usually defined in the form

(47) |

which is antisymmetric in the and indices. Due to considering three-dimensional spins, these two indices may simply be replaced by the perpendicular direction

(48) |

the tensorial notation used in Eq. (46)Schweflinghaus (). The corresponding Dzyaloshinsky–Moriya tensor reads

(49) |

Equation (49) has no specific symmetry properties, since the first index describes the rotational plane of the spins, while the second stands for the direction of the modulation. For spin waves, the rotational plane is perpendicular to the ferromagnetic direction. If we denote the ferromagnetic direction by and calculate the spin wave frequencies along the direction, only a single component of the Dzyaloshinsky–Moriya tensor may be calculated (cf. Eq. (9)),

(50) |

The symmetry of the system determines which components of the and tensors may be finite, and which ones will take the same value. For example, in cubic systems and are both constant matrices with the above definitions. For a list of Lifshitz invariants with finite components in different symmetry classes see e.g. Refs. Bogdanov (); Li ().

The spin wave frequencies are calculated analogously to the atomistic model, by constructing the equation of motionLandau ()

(51) |

then linearizing it in small deviations from the ferromagnetic state. Note that even if the micromagnetic model is used for the description of the system at room temperature, it is common practice to use Eq. (51) for the calculation of the spectrum (see e.g. Ref. Belmeguenai ()), where the effect of temperature is only included in the interaction coefficients. A more accurate inclusion of finite-temperature effects in micromagnetic models is given by the Landau–Lifshitz–Bloch equationChubykalo-Fesenko ().

## Appendix C Square lattice

For the model calculations we considered a ferromagnetic monolayer on the surface of a cubic lattice with symmetry. In this symmetry class, the micromagnetic exchange interaction corresponds to a constant tensor (), while the Dzyaloshinsky–Moriya interaction tensor may be characterized by the single value .

The complete two-dimensional spin wave spectrum of the system with the magnetic field applied along the direction is given by

(52) | |||||

with

(53) | |||||

(54) | |||||

(55) |

Note that in Eq. (16) is denoted by here for clarity.

The expressions appearing in Eqs. (53)-(55) account for the correlation corrections, and may be expressed for an infinite lattice by the formulae

(56) |

where denotes the nearest neighbors of site along the positive and directions, respectively.

At zero temperature, from Eqs. (53)-(55) one obtains , , and , which satisfy the symmetry of the system. However, it should be noted that at finite temperature one has and . This is caused by the simultaneous presence of the magnetic field along the direction which breaks the symmetry and the Dzyaloshinsky–Moriya interaction.

Regarding Eq. (56), even at finite temperature and do not break the symmetry of the spectrum, which implies that will remain real at all temperatures. In the main text, we have used the fact that the temperature dependence of the Heisenberg and the Dzyaloshinsky–Moriya exchange interactions is exactly the same within Green’s function formalism in the present system. This can be proven by introducing the simplified notations

(57) | |||||

(58) | |||||

(59) | |||||

(60) |

and calculating the one-dimensional integrals

(61) | ||||

(62) |

in Eq. (56) may be obtained from by performing the integral over and multiplying by a constant factor.

It can be shown by algebraic transformations that

(66) |

Finally, substituting Eq. (66) into Eqs. (53)-(54) and calculating the ratio of the latter two yields

(67) |

meaning that the ratio of the Dzyaloshinsky–Moriya and Heisenberg exchange interactions indeed does not depend on the temperature. We briefly mention that the exact equality only holds for only nearest-neighbor interactions in the model. Finally, substituting Eq. (66) into Eq. (55) yields Eq. (18) for the correspondence between the induced anisotropy and the Heisenberg exchange interaction.

## Appendix D Monte Carlo simulations

We performed the Monte Carlo simulations on an square lattice with periodic boundary conditions for the Hamiltonian illustrated in Fig. 1. We used the single-spin Metropolis algorithm to update the spin directions, with sweeping over the whole lattice at every Monte Carlo step. From the simulations we extracted the thermal equilibrium quantities and from the lattice Fourier transform of the spin configurations. For the data displayed in Fig. 3, we initialized the system in the ferromagnetic state, increased the temperature from to in steps of , performed thermalization for Monte Carlo steps, and averaged the observables during the Monte Carlo evolution over configurations at Monte Carlo step distance from each other.

After determining the observables, we calculated the spin wave frequencies from Eq. (17), extracted the spectrum along the direction, and fitted the results with a function of the form Eq. (16) to extract the temperature-dependent parameters. We compared the results to the prediction of Green’s function theory, also calculated for an lattice. Increasing the lattice size to in the theoretical calculations modified the interaction parameters on the order of , well below the precision of the simulations and indicating that finite-size effects are negligible for the considered problem.

We also calculated the spin wave spectrum along the direction from the simulations in order to confirm that it remains symmetric, and to extract the parameter discussed in Appendix C. However, we were not successful in determining a deviation between and that would be significant compared to the uncertainty of the parameters obtained from the simulations by the fitting procedure.

## References

- (1) I. Dzyaloshinsky, J. Phys. Chem. Solids 4, 241 (1958).
- (2) T. Moriya, Phys. Rev. Lett. 4, 228 (1960).
- (3) A. Thiaville, S. Rohart, E. Jué, V. Cros, and A. Fert, Europhys. Lett. 100, 57002 (2012).
- (4) K.-S. Ryu, L. Thomas, S.-H. Yang, and S. Parkin, Nat. Nanotechnol. 8, 527 (2013).
- (5) M. Bode, M. Heide, K. von Bergmann, P. Ferriani, S. Heinze, G. Bihlmayer, A. Kubetzka, O. Pietzsch, S. Blügel, and R. Wiesendanger, Nature (London) 447, 190 (2007).
- (6) S. Meckler, N. Mikuszeit, A. Pressler, E. Y. Vedmedenko, O. Pietzsch, and R. Wiesendanger, Phys. Rev. Lett. 103, 157201 (2009).
- (7) A. N. Bogdanov and D. A. Yablonskiĭ, Zh. Eksp. Teor. Fiz. 95, 178 (1989) [Sov. Phys. JETP 68, 101 (1989)].
- (8) S. Mühlbauer, B. Binz, F. Jonietz, C. Pfleiderer, A. Rosch, A. Neubauer, R. Georgii, and P. Böni, Science 323, 915 (2009).
- (9) X. Z. Yu, N. Kanazawa, Y. Onose, K. Kimoto, W. Z. Zhang, S. Ishiwata, Y. Matsui, and Y. Tokura, Nat. Mater. 10, 106 (2010).
- (10) D. A. Allwood, G. Xiong, C. C. Faulkner, D. Atkinson, D. Petit, and R. P. Cowburn, Science 309, 1688 (2005).
- (11) S. S. P. Parkin, M. Hayashi, and L. Thomas, Science 320, 190 (2008).
- (12) A. Fert, V. Cros, and J. Sampaio, Nat. Nanotechnol. 8, 152 (2013).
- (13) R. L. Melcher, Phys. Rev. Lett. 30, 125 (1973).
- (14) L. Udvardi and L. Szunyogh, Phys. Rev. Lett. 102, 207204 (2009).
- (15) R. Coldea, D. A. Tennant, K. Habicht, P. Smeibidl, C. Wolters, and Z. Tylczynski, Phys. Rev. Lett. 88, 137203 (2002).
- (16) T. J. Sato, D. Okuyama, T. Hong, A. Kikkawa, Y. Taguchi, T.-h. Arima, and Y. Tokura, Phys. Rev. B 94, 144420 (2016).
- (17) H. T. Nembach, J. M. Shaw, M. Weiler, E. Jué, and Th. J. Silva, Nat. Phys. 11, 825 (2015).
- (18) M. Belmeguenai, J.-P. Adam, Y. Roussigné, S. Eimer, T. Devolder, J.-V. Kim, S. M. Cherif, A. Stashkevich, and A. Thiaville, Phys. Rev. B 91, 180405 (2015).
- (19) Kh. Zakeri, Y. Zhang, J. Prokop, T.-H. Chuang, N. Sakr, W. X. Tang, and J. Kirschner, Phys. Rev. Lett. 104, 137203 (2010).
- (20) Kh. Zakeri, T.-H. Chuang, A. Ernst, L. M. Sandratskii, P. Buczek, H. J. Qin, Y. Zhang, and J. Kirschner, Nat. Nanotechnol. 8, 853 (2013).
- (21) Kh. Zakeri, J. Prokop, Y. Zhang, and J. Kirschner, Surf. Sci. 630, 311 (2014).
- (22) J. M. Lee, C. Jang, B.-C. Min, S.-W. Lee, K.-J. Lee, and J. Chang, Nano Lett. 16, 62 (2016).
- (23) F. Garcia-Sanchez, P. Borys, R. Soucaille, J.-P. Adam, R. L. Stamps, and J.-V. Kim, Phys. Rev. Lett. 114, 247206 (2015).
- (24) W. Yu, J. Lan, R. Wu, and J. Xiao, Phys. Rev. B 94, 140410(R) (2016).
- (25) A. Fert and P. M. Levy, Phys. Rev. Lett. 44, 1538 (1980).
- (26) P. M. Levy and A. Fert, Phys. Rev. B 23, 4667 (1981).
- (27) M. Cubukcu, J. Sampaio, K. Bouzehouane, D. Apalkov, A. V. Khvalkovskiy, V. Cros, and N. Reyren, Phys. Rev. B 93, 020401(R) (2016).
- (28) J. Hagemeister, N. Romming, K. von Bergmann, E. Y. Vedmedenko, and R. Wiesendanger, Nat. Commun. 6, 8455 (2015).
- (29) H. Oike, A. Kikkawa, N. Kanazawa, Y. Taguchi, M. Kawasaki, Y. Tokura, and F. Kagawa, Nat. Phys. 12, 62 (2016).
- (30) L. Rózsa, E. Simon, K. Palotás, L. Udvardi, and L. Szunyogh, Phys. Rev. B 93, 024417 (2016).
- (31) O. Chubykalo-Fesenko, U. Nowak, R. W. Chantrell, and D. Garanin, Phys. Rev. B 74, 094436 (2006).
- (32) U. Atxitia, D. Hinzke, and U. Nowak, J. Phys. D: Appl. Phys. 50, 033003 (2016).
- (33) F. Schlickeiser, U. Ritzmann, D. Hinzke, and U. Nowak, Phys. Rev. Lett. 113, 097201 (2014).
- (34) S. Selzer, U. Atxitia, U. Ritzmann, D. Hinzke, and U. Nowak, Phys. Rev. Lett. 117, 107201 (2016).
- (35) T. Eggebrecht, M. Möller, J. G. Gatzmann, N. Rubiano da Silva, A. Feist, U. Martens, H. Ulrichs, M. Münzenberg, C. Ropers, and S. Schäfer, Phys. Rev. Lett. 118, 097203 (2017).
- (36) M. Finazzi, M. Savoini, A. R. Khorsand, A. Tsukamoto, A. Itoh, L. Duo, A. Kirilyuk, T. Rasing, and M. Ezawa, Phys. Rev. Lett. 110, 177205 (2013).
- (37) H. B. Callen and E. Callen, J. Phys. Chem. Sol. 27, 1271 (1966).
- (38) S. Okamoto, N. Kikuchi, O. Kitakami, T. Miyazaki, Y. Shimada, and K. Fukamichi, Phys. Rev. B 66, 024413 (2002).
- (39) P. Asselin, R. F. L. Evans, J. Barker, R. W. Chantrell, R. Yanes, O. Chubykalo-Fesenko, D. Hinzke, and U. Nowak, Phys. Rev. B 82, 054415 (2010).
- (40) U. Atxitia, D. Hinzke, O. Chubykalo-Fesenko, U. Nowak, H. Kachkachi, O. N. Mryasov, R. F. Evans, and R. W. Chantrell, Phys. Rev. B 82, 134440 (2010).
- (41) F. Heider and W. Williams, Geophys. Res. Lett. 15, 184 (1988).
- (42) J. Barker and O. A. Tretiakov, Phys. Rev. Lett. 116, 147203 (2016).
- (43) S. Kim, K. Ueda, G. Go, P.-H. Jang, K.-J. Lee, A. Belabbes, A. Manchon, M. Suzuki, Y. Kotani, T. Nakamura, K. Nakamura, T. Koyama, D. Chiba, K. Yamada, D.-H. Kim, T. Moriyama, K.-J. Kim, and T. Ono, arXiv:1704.02900 (2017).
- (44) G. Hasselberg, R. Yanes, D. Hinzke, P. Sessi, M. Bode, L. Szunyogh, and U. Nowak, Phys. Rev. B 91, 064402 (2015).
- (45) A. Sonntag, J. Hermenau, S. Krause, and R. Wiesendanger, Phys. Rev. Lett. 113, 077202 (2014).
- (46) P. Sessi, N. P. Guisinger, J. R. Guest, and M. Bode, Phys. Rev. Lett. 103, 167201 (2009).
- (47) K. von Bergmann, M. Bode, and R. Wiesendanger, J. Magn. Magn. Mater. 305, 279 (2006).
- (48) K. Shibata, A. Kovács, N. S. Kiselev, N. Kanazawa, R. E. Dunin-Borkowski, and Y. Tokura, Phys. Rev. Lett. 118, 087202 (2017).
- (49) L. Rózsa, L. Udvardi, and L. Szunyogh, J. Phys.: Condens. Matter 25, 506002 (2013).
- (50) H. B. Callen, Phys. Rev. 130, 890 (1963).
- (51) R. Bastardis, U. Atxitia, O. Chubykalo-Fesenko, and H. Kachkachi, Phys. Rev. B 86, 094415 (2012).
- (52) L. S. Campana, A. Cavallo, L. De Cesare, U. Esposito, and A. Naddeo, Physica A 391, 1087 (2012).
- (53) T. Nakamura and M. Bloch, Phys. Rev. 132, 2528 (1963).
- (54) Ch.-Y. You, J. Appl. Phys. 116, 053902 (2014).
- (55) J. Cho, N.-H. Kim, S. Lee, J.-S. Kim, R. Lavrijsen, A. Solignac, Y. Yin, D.-S. Han, N. J. J. van Hoof, H. J. M. Swagten, B. Koopmans, and Ch-Y. You, Nat. Commun. 6, 7635 (2015).
- (56) S. V. Tyablikov, Ukr. Mat. Zh. 11, 287 (1959).
- (57) P. W. Anderson, Phys. Rev. 115, 2 (1959).
- (58) A. Szilva, M. Costa, A. Bergman, L. Szunyogh, L. Nordström, and O. Eriksson, Phys. Rev. Lett. 111, 127204 (2013).
- (59) R. H. Swendsen, Phys. Rev. B 5, 116 (1972).
- (60) N. D. Mermin and H. Wagner, Phys. Rev. Lett. 17, 1133 (1966).
- (61) Gy. J. Vida, E. Simon, L. Rózsa, K. Palotás, and L. Szunyogh, Phys. Rev. B 94, 214422 (2016).
- (62) P. Fröbrich and P. J. Kuntz, Phys. Rep. 432, 223 (2006).
- (63) H. B. Callen and S. Shtrikman, Sol. State Commun. 3, 5 (1965).
- (64) B. Schweflinghaus, B. Zimmermann, M. Heide, G. Bihlmayer, and S. Blügel, Phys. Rev. B 94, 024403 (2016).
- (65) W. Li, Ch. Jin, R. Che, W. Wei, L. Lin, L. Zhang, H. Du, M. Tian, and J. Zang, Phys. Rev. B 93, 060409(R) (2016).
- (66) L. D. Landau, E. M. Lifshitz, Theoretical Physics, Vol. IX, Statistical Physics Pt. 2 (Nauka, Moscow, 1978).