Grioli's Theorem with weights and the relaxed-polar mechanism of optimal Cosserat rotations
Andreas Fischle, Patrizio Neff

TL;DR
This paper generalizes Grioli's Theorem to weighted cases, characterizing optimal Cosserat rotations with weights, revealing new globally minimizing rotations that can differ significantly from classical polar factors.
Contribution
It introduces a weighted variational characterization of optimal rotations, extending Grioli's Theorem and identifying conditions for new types of energy-minimizing rotations.
Findings
Classical Grioli's Theorem recovered for specific weights
New globally minimizing rotations identified for different weight ranges
Application to Cosserat nonlinear elasticity models
Abstract
Let and consider the right polar decomposition into an orthogonal factor and a symmetric, positive definite factor . In 1940 Giuseppe Grioli proved that This variational characterization of the orthogonal factor holds in any dimension (a result due to Martins and Podio-Guidugli). In a similar spirit, we characterize the optimal rotations for given weights and . We identify a classical parameter range $\mu_c…
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Taxonomy
TopicsBlack Holes and Theoretical Physics · Nonlinear Waves and Solitons · Homotopy and Cohomology in Algebraic Topology
Grioli’s Theorem with weights and the relaxed-polar
mechanism of optimal Cosserat rotations
Andreas Fischle and Patrizio Neff Corresponding author: Andreas Fischle, Institut für Numerische Mathematik, TU Dresden, Zellescher Weg 12-14, 01069 Dresden, Germany, email: [email protected] Neff, Head of Lehrstuhl für Nichtlineare Analysis und Modellierung, Fakultät für Mathematik, Universität Duisburg-Essen, Thea-Leymann Str. 9, 45127 Essen, Germany, email: [email protected]
Abstract
Let and consider the right polar decomposition into an orthogonal factor and a symmetric, positive definite factor . In 1940 Giuseppe Grioli proved that
[TABLE]
This variational characterization of the orthogonal factor holds in any dimension (a result due to Martins and Podio-Guidugli). In a similar spirit, we characterize the optimal rotations
[TABLE]
for given weights and . We identify a classical parameter range for which Grioli’s Theorem is recovered and a non-classical parameter range giving rise to a new type of globally energy-minimizing rotations which can substantially deviate from . In mechanics, the weighted energy subject to minimization appears as the shear-stretch contribution in any geometrically nonlinear, quadratic, and isotropic Cosserat theory.
**Key words: Cosserat, Grioli’s theorem, micropolar, polar media, zero Cosserat couple modulus, euclidean distance to **
**AMS 2010 subject classification: 15A24, 22E30, 74A30, 74A35, 74B20, 74G05, 74G55, 74G65, 74N15. **
Contents
- 1 Introduction
- 2 Optimal rotations in two space dimensions
- 3 Optimal rotations in three space dimensions
- 4 Optimal rotations in general dimension
1 Introduction
In 1940 Giuseppe Grioli proved a variational characterization of the orthogonal factor of the polar decomposition [12]. In order to state this result, let be the unique rotation characterized as the orthogonal factor of the right polar decomposition of
[TABLE]
where denotes the symmetric positive definite factor (which, in mechanics, is referred to as the Biot stretch tensor).
Grioli’s original result111An exposition of the original contribution of Grioli in modernized notation has been recently made available in [25]. is the important special case of space dimension of the following
Theorem 1.1** (Grioli’s theorem [12, 16, 3]).**
Let and the Frobenius norm. Then for any , it holds
[TABLE]
The polar factor is the unique energy-minimizing rotation for any given in any dimension , see, e.g., [16]. This optimality property has an interesting geometric interpretation following from the orthogonal invariance of the Frobenius norm
[TABLE]
which reveals a connection to the problem class of matrix distance (or nearness) problems. In elasticity, a distance of a deformation gradient (jacobian matrix) to a rotation is of interest as a measure for the energy induced by local changes in length.
In this contribution, we consider a weighted analog of Grioli’s theorem motivated by Cosserat theory and present the energy-minimizing (optimal) rotations characterized by
Problem 1.2** (Weighted optimality).**
Let . Compute the set of optimal rotations
[TABLE]
for given and weights . Here, and denote the symmetric and skew-symmetric parts of , respectively.
Note that Grioli’s theorem stated above is recovered for the case of equal weights . In order to express the connection to the variational characterization of the polar factor , we have introduced the following notation
Definition 1.3** (Relaxed polar factor(s)).**
Let and . We denote the set-valued mapping that assigns to a given parameter its associated set of energy-minimizing rotations by
[TABLE]
In the weighted case, the polar factor is always critical but not always optimal. In general the global minimizers depend on the parameters and and can substantially deviate from .
The optimal rotations in the weighted case have been worked out in two and three space dimensions by the present authors in a series of papers [9, 10]; cf. also [8] and [22, 27] for earlier related work. A visualization of the mechanism of optimal Cosserat rotations in dimension for an idealized nano-indentation was given in [11] and shows that the optimal rotations can produce interesting non-classical patterns. A final proof of optimality in any dimension has been obtained by Borisov and the authors in [2] and is based on a new characterization of real square roots of real symmetric matrices. This contribution presents an overview of these results omitting the proofs for which we refer to the original contributions.
Our study of the energy-minimizing rotations is motivated by a particular Cosserat (micropolar) theory [20], i.e., a continuum theory with additional degrees of freedom . In this context, the objective function subject to minimization in Problem 1.2 determines the shear-stretch contribution to the strain energy in any nonlinear, quadratic, and isotropic Cosserat theory, see also [1, 6, 14, 29, 18, 28]. The arguments to the shear-stretch energy are the deformation gradient field and the microrotation field evaluated at a given point of the domain . A full Cosserat continuum model furthermore contains an additional curvature energy term [26] and a volumetric energy term, see, e.g., [21] or [22].
It is always possible to express the local energy contribution in a Cosserat model as , where is the first Cosserat deformation tensor. This reduction follows from objectivity requirements and has already been observed by the Cosserat brothers [4, p. 123, eq. (43)], see also [7] and [17]. Since is in general non-symmetric, the most general isotropic and quadratic local energy contribution which is zero at the reference state is given by
[TABLE]
The last term will be discarded in the following, since it couples the rotational and volumetric response, a feature not present in the well-known isotropic linear Cosserat models.222The Cosserat brothers never proposed any specific expression for the local energy . The chosen quadratic ansatz for is motivated by a direct extension of the quadratic energy in the linear theory of Cosserat models, see, e.g. [13, 24, 23]. We always consider a true volumetric-isochoric split in our applications.
From the perspective of Cosserat theory, the optimal rotations yield insight into the important limit case of vanishing characteristic length .333This identification requires that the volume term decouples from the microrotation , e.g.,
This requirement is quite natural and is satisfied by all linear Cosserat models [24, 19, 23]. In this context, we can interpret the solutions of (1.4) as an energetically optimal mechanical response of the field of Cosserat microrotations to a given deformation gradient .
Remark 1.4** (Vanishing Cosserat couple modulus ).**
The correct choice of the so-called Cosserat couple modulus for specific materials and boundary value problems is an interesting open question. There are indications that a non-vanishing has never been experimentally observed and that such a choice is at least debatable [19]. The limit case is hence of particular interest.
We want to stress that although the term subject to minimization in (1.4) is quadratic in the nonsymmetric microstrain tensor , see, e.g., [6], the associated minimization problem with respect to is nonlinear due to the multiplicative coupling and the geometry of .
Remark 1.5** (Existence of global minimizers).**
The energy is a polynomial in the matrix entries, hence . Further, since the Lie group is compact and , the global extrema of are attained at interior points.
The previous remark hints at a possible solution strategy for Problem 1.2. If all the critical points of can be computed444The smooth manifold has empty boundary. This implies that a critical point for given satisfies \frac{\rm d}{\rm dt}\,\operatorname{W_{\mu,\mu_{c}}}(R(t)\,;F)\big{|}_{t=0}=0 for every smooth curve of rotations passing through ., then a direct comparison of the associated critical energy levels allows to determine the critical branches which are energy-minimizing. Clearly, any minimizing critical branch realizes the reduced Cosserat shear-stretch energy defined as
[TABLE]
At first, a solution of Problem 1.2 in three space dimensions was out of reach (let alone the -dimensional problem). Therefore, we first restrict our attention to the planar case, where we can base our computations on the standard parametrisation
[TABLE]
by a rotation angle.555Note that and are mapped to the same rotation. In this text, we implicitly choose over for the rotation angle whenever uniqueness is an issue.
It turns out that there are at most two optimal planar rotations in the non-classical parameter range and we distinguish these by a sign. The corresponding optimal rotation angles of are denoted by . The non-classical minimizers coincide with the polar factor in the compressive regime of , but deviate otherwise.
The computation of the global minimizers in dependence of is not completely obvious even for the planar case. Hence, the following simplifications of the minimization problem are helpful.
First, it is useful to introduce
Definition 1.6** (Parameter rescaling).**
Let . We define the singular radius by
[TABLE]
as the induced scaling parameter. Note that and . Further, we define the parameter rescaling given by
[TABLE]
For and , we obtain , i.e., the rescaling is only effective for .
Regarding the material parameters, we proved in [9] that for any dimension , it is in fact sufficient to restrict our attention to two parameter pairs: , the classical case, and , the non-classical case. Hence, somewhat surprisingly, the solutions for arbitrary and can be recovered from these two limit cases. This is the content of
Lemma 1.7** (Parameter reduction).**
Let and let , then
[TABLE]
Here, the equivalence notation means that the energies give rise to the same global minimizers which we can also state as
Corollary 1.8**.**
[TABLE]
Another important observation can be made introducing the rotation
[TABLE]
which acts relative to the polar factor in the coordinate system given by the columns of which span a positively oriented frame of principal directions of . This allows us to transform
[TABLE]
For fixed choice of , the inverse transformation allows to reconstruct the absolute rotation uniquely
[TABLE]
Hence, in the non-classical parameter range represented by the limit case , the minimization problem can be reduced to the following problem for the optimal relative rotations.
Problem 1.9**.**
Let . Compute the set of energy-minimizing relative rotations
[TABLE]
The decisive point in the solution of Problem 1.9 in dimensions is the characterization of the set of relative rotations satisfying the particular symmetric square condition (^RD - 1)^2 ∈ Sym (n) which is equivalent to the Euler-Lagrange equations.
After having set the stage of the optimization problem on , this overview is now structured as follows: in the next Section 2, we consider in some detail the planar problem which allows for a complete solution by elementary techniques and which presents already the essential geometry which unfolds in dimensions . In Section 3, we provide the complete solution for the three-dimensional case as well as the corresponding reduced energy expression in terms of singular values of . We also provide a geometrical interpretation that allows to view the minimization problem for as a distance problem. Furtermore, we provide a discussion for which deformation gradients we can only have the classical response . Finally, in Section 4, we present our results for the general -dimensional case.
2 Optimal rotations in two space dimensions
In this section, we consider
Problem 2.1** (The planar minimization problem).**
Let , and . The task is to compute the set of optimal microrotation angles
[TABLE]
where
[TABLE]
In this case we can compute explicit representations of optimal planar rotations for the Cosserat shear-stretch energy by elementary means. The parameter reduction strategy described by Lemma 1.7 allows us to concentrate our efforts towards the construction of explicit solutions to Problem 2.1 on two representative pairs of parameter values and . The classical regime is characterized by the limit case and the unique minimizer is given by the polar factor for any dimension .
The non-classical case represented by turns out to be much more interesting and we compute all global non-classical minimizers for . This is the main contribution of this section. Furthermore, we derive the associated reduced energy levels and which are realized by the corresponding optimal Cosserat microrotations. Finally, we reconstruct the minimizing rotation angles for general values of and from the classical and non-classical limit cases.
2.1 Explicit solution for the classical parameter range:
The polar factor is uniquely optimal for the classical parameter range in any dimension . Let us give an explicit representation for in terms of . In view of the parameter reduction, distilled in Lemma 1.7, it suffices to compute the set of optimal rotation angles for the representative limit case .
Thus, to obtain an explicit representation of which characterizes the polar factor in dimension , we consider
[TABLE]
Let us introduce the rotation . Its application to a vector corresponds to multiplication with the imaginary unit . In what follows, the quantities and play a particular role and we note the identity
[TABLE]
The reduced energy realized by the polar factor can be shown to be the euclidean distance of an arbitrary in to . For , we obtain
Theorem 2.2** (Euclidean distance to planar rotations).**
Let , then
[TABLE]
The unique optimal rotation angle realizing this minimial energy level satisfies the equation
[TABLE]
In particular, we have .
Corollary 2.3** (Explicit formula for ).**
Let , then the polar factor has the explicit representation
[TABLE]
2.2 The limit case for
We now approach the more interesting non-classical limit case and compute the optimal rotations for . Note that, due to Lemma 1.7, this limit case represents the entire non-classical parameter range .
Theorem 2.4** (The formally reduced energy ).**
Let . Then, the formally reduced energy
[TABLE]
is given by
[TABLE]
It is well-known that any orthogonally invariant energy density admits a representation in terms of the singular values of , i.e., in the eigenvalues of . Let us give this representation.
Corollary 2.5** **(Representation of in the singular values
of ).
Let and denote its singular values by , . The representation of in the singular values of is given by
[TABLE]
Note that the previous formulae are independent of the enumeration of the singular values.
2.2.1 Optimal relative rotations for and
Our next goal is to compute explicit representations of the rotations which realize the minimal energy level in the non-classical limit case . This is the content of the next theorem for which we now prepare the stage with the following
Lemma 2.6**.**
Let , i.e, a diagonal matrix with strictly positive diagonal entries. Then, assuming , the equation has the following solutions
[TABLE]
For , there exists no solution, but we can define by continuous extension.
Our Figure 2.1 shows a plot of the optimal relative rotation angle . In the classical parameter range , is uniquely optimal and vanishes identically. In , a classical pitchfork bifurcation occurs. In particular, due to , the identity matrix is a bifurcation point of . Further, we note that the branches are not differentiable at . This has implications on the interaction of the Cosserat shear-stretch energy with the Cosserat curvature energy .
Theorem 2.7** (Optimal non-classical microrotation angles ).**
Let and consider . The optimal rotation angles for are given by
[TABLE]
2.3 Expressions for general non-classical parameter choices
The reduction for and in Lemma 1.7 asserts that the optimal rotations for arbitrary values of and can be reconstructed from the limit cases and . We now detail this procedure which essentially exploits Definition 1.6.
Note first that the rescaled deformation gradient induces a rescaled stretch tensor
[TABLE]
The right polar decomposition takes the form . From follows the scaling invariance . For the non-classical parameter range , the quantity
[TABLE]
plays an essential role. This leads us to
[TABLE]
In particular, this implies that the bifurcation in allowing for non-classical optimal planar rotations is characterized by the singular radius .
Theorem 2.8**.**
Let . For the optimal microrotation angle is given by
[TABLE]
For , the two optimal rotation angles are given by
[TABLE]
2.4 Optimal rotations for planar simple shear
We now apply our previous optimality results to simple shear deformations
[TABLE]
The energy-minimizing rotation angles for simple shear can be explicitly computed; see also [27] for previous results.
In the classical parameter range represented by the limit case the polar rotation is uniquely optimal.
Let us collect some properties of simple shear . We have and , i.e., simple shear is volume preserving for any amount . This allows us to compute
[TABLE]
Thus, we have
Corollary 2.9** (Optimal non-classical Cosserat rotations for simple shear).**
Let and let be a simple shear of amount . Then,
[TABLE]
Remark 2.10** **(Symmetry of the first Cosserat deformation
tensor in simple shear).
A simple shear by a non-zero amount automatically generates an optimal microrotational response which deviates from the continuum rotation . This implies that the associated first Cosserat deformation tensor is not symmetric for any .
3 Optimal rotations in three space dimensions
In this section, we discuss
Problem 3.1** (Weighted optimality in dimension ).**
Let and . Compute the set of optimal rotations
[TABLE]
for given parameter with distinct singular values .
The polar factor is the unique minimizer for in the classical parameter range , in all dimensions , see [15, 25].
Since the classical parameter domain is very well understood, we focus entirely on the non-classical parameter range . Furthermore, due to the parameter reduction described by Lemma 1.7, which holds for all dimensions , it suffices to solve the non-classical limit case , since
[TABLE]
On the right hand side, we notice a rescaled deformation gradient ~F_μ,μc ≔λ^-1μ,μ_c ⋅F ∈GL^+(3) which is obtained from by multiplication with the inverse of the induced scaling parameter . We note that we use the previous notation throughout the text and further introduce the singular radius .
It follows that the set of optimal Cosserat rotations can be described by
[TABLE]
for the entire non-classical parameter range . We are therefore mostly concerned with the case in the present text. Note that for all , we have the equality
[TABLE]
3.1 The locally energy-minimizing Cosserat rotations
We briefly present the geometric characterization of the optimal Cosserat rotations obtained in [10]. Let and let denote the unit -sphere. We make use of the well-known angle-axis parametrization of rotations which we write as 666The angle-axis parametrization is singular, but this is not an issue for our exposition., where denotes the rotation angle and specifies the oriented rotation axis.
We recall that it is sufficient to solve for the relative rotation, i.e., we consider
Problem 3.2** (Diagonal form of weighted optimality in ).**
Let and and let with . Compute the set of optimal relative rotations
[TABLE]
We stress that the rotation angle of the relative rotation is implicitly reversed due to the correspondence .
The computation of the solutions to Problem 3.2 by computer algebra together with a statistical verification are the core results obtained in [10] which we present next.
Proposition 3.3** **(Energy-minimizing relative rotations
for ).
Let be the singular values of . Then the energy-minimizing relative rotations solving Problem 3.2 are given by
[TABLE]
where the optimal rotation angles are given by
[TABLE]
Thus, in the non-classical regime , we obtain the explicit expression
[TABLE]
In the classical regime , we simply obtain the relative rotation , and there is no deviation from the polar factor at all.
Note that, due to the parameter reduction Lemma 1.7, it is always possible to recover the optimal rotations for general non-classical parameter choices from the non-classical limit case ; cf. [9] and [10] for details.
3.2 Geometric and mechanical aspects of optimal Cosserat
rotations
It seems natural to introduce
Definition 3.4** (Maximal mean planar stretch and strain).**
Let with singular values . We introduce the maximal mean planar stretch and the maximal mean planar strain as follows:
[TABLE]
In order to describe the bifurcation behavior of as a function of the parameter , it is helpful to partition the parameter space .
Definition 3.5** (Classical and non-classical domain).**
To any pair of material parameters in the non-classical range , we associate a classical domain and a non-classical domain . Here,
[TABLE]
respectively.
It is straight-forward to derive the following equivalent characterizations
[TABLE]
On the intersection , the minimizers coincide with the polar factor . This can be seen from the form of the optimal relative rotations in Proposition 3.3. More explicitly, in dimension and in the non-classical limit case , we have:
[TABLE]
Since the maximal mean planar strain is related to strain, this indicates a particular (possibly new) type of tension-compression asymmetry.
Towards a geometric interpretation of the energy-minimizing Cosserat rotations in the non-classical limit case , we reconsider the spectral decomposition of from the principal axis transformation in Section 1. Let us denote the columns of by , . Then and are orthonormal eigenvectors of which correspond to the largest two singular values and of . More generally, we introduce the following
Definition 3.6** (Plane of maximal stretch).**
The plane of maximal stretch is the linear subspace P^ms(F) ≔ span({ q_1,q_2 }) ⊂R^3 spanned by the two eigenvectors of associated with the two largest singular values of the deformation gradient .
We recall that, due to the parameter reduction Lemma 1.7, it is always possible to recover the optimal rotations
[TABLE]
for a general choice of non-classical parameters from the non-classical limit case . However, we defer the explicit procedure for a bit since it is quite instructive to interpret this distinguished non-classical limit case first.
-\hat{\beta}_{1,0}$$\hat{\beta}_{1,0}$$q_{1}$$q_{2}$$q_{3}
Remark 3.7** ( in the classical domain).**
For the maximal mean planar strain is non-expansive. By definition, we have in the classical domain, for which the energy-minimizing relative rotation is given by and there is no deviation from the polar factor. In short .
Let us now turn to the more interesting non-classical case .
Remark 3.8** ( in the non-classical domain).**
*If , then by definition and the maximal mean planar strain is expansive. The deviation of the non-classical energy-minimizing rotations from the polar factor is measured by a rotation in the plane of maximal stretch given by . The rotation axis is the eigenvector associated with the smallest singular value of and the relative rotation angle is given by . The rotation angles increase monotonically towards the asymptotic limits
limummp(F) → ∞ ^β_1,0^±(F) = *±*π2 .
In axis-angle representation, we obtain*
[TABLE]
Corollary 3.9** (An explicit formula for ).**
For the non-classical limit case we have the following formula for the energy-minimizing Cosserat rotations:
[TABLE]
For general values of the weights in the non-classical range , we obtain
[TABLE]
where is obtained by rescaling the deformation gradient with the inverse of the induced scaling parameter .
Note that the previous definition is relative to a fixed choice of the orthonormal factor in the spectral decomposition of . Further, right from their variational characterization, one easily deduces that the energy-minimizing rotations satisfy , for any , i.e., they are objective functions; cf.Remark 3.10.
The domains of the piecewise definition of in Corollary 3.9 indicate a certain tension-compression asymmetry in the material model characterized by the Cosserat shear-stretch energy . We can also make a second important observation. To this end, consider a smooth curve . If the eigenvector associated with the smallest singular value changes its orientation along this curve, then the rotation axis of flips as well. Effectively, the sign of the relative rotation angle is negated which may lead to jumps. This can happen, e.g., if passes through a deformation gradient with a non-simple singular value, but it may also depend on details of the specific algorithm used for the computation of the eigenbasis.
For the classical range , the polar factor and the relaxed polar factor(s) coincide and trivially share all properties. This is no longer true for the non-classical parameter range and we compare the properties for that range in our next remark. More precisely, we present a detailed comparison of the well-known features of the polar factor which are of fundamental importance in the context of mechanics.
Remark 3.10** **( vs. for the non-classical
range ).
Let and . The polar factor obtained from the polar decomposition is always unique and satisfies:
[TABLE]
The relaxed polar factor(s) is in general multi-valued and, due to its variational characterization, satisfies:
[TABLE]
For the particular dimensions , our explicit formulae imply that there exist particular instances and , for which we have
[TABLE]
This can be directly inferred from the partitioning of and the respective piecewise definition of the relaxed polar factor(s), see Corollary 3.9.
We interpret these broken symmetries as a (generalized) tension-compression asymmetry.
3.3 The reduced Cosserat shear-stretch energy
We now introduce the notion of a reduced energy as the energy level realized by the energy-minimizing rotations .
Definition 3.11** (Reduced Cosserat shear-stretch energy).**
The reduced Cosserat shear-stretch energy is defined as
[TABLE]
Besides the previous definition, we also have the following equivalent means for the explicit computation of the reduced energy
[TABLE]
Lemma 3.12** (The reduced Cosserat shear-stretch energy in terms of singular values).**
Let and the ordered singular values of . Then the reduced Cosserat shear-stretch energy admits the following piecewise representation
[TABLE]
Our next step is to reveal the form of the reduced energy for the entire non-classical parameter range which involves the parameter reduction lemma, but we have to be a bit careful.
Remark 3.13** (Reduced energies and the parameter reduction lemma).**
The parameter reduction in Lemma 1.7 is the key step in the computation of the minimizers for general non-classical material parameters . It might be tempting, but we have to stress that the general form of the reduced energy cannot be obtained by rescaling the singular values in the singular value representation of .
Theorem 3.14** ( as a function of the singular values).**
Let and , the ordered singular values of and let , i.e., a non-classical parameter set. Then the reduced Cosserat shear-stretch energy admits the following explicit representation
[TABLE]
Remark 3.15** (On as a penalty weight).**
*Let us consider the contribution of the skew-term to given by
μc2((ν_1 + ν_2) - ρ_μ, μ_c)^2
as a penalty term for arising for material parameters in the non-classical parameter range . This leads to a simple but interesting observation for strictly positive . The minimizers for the penalty term satisfy the bifurcation criterion ν_1 + ν_2 = ρ_μ, μ_c for . In this case which implies that , i.e., it is symmetric. Hence, the skew-part vanishes entirely which minimizes the penalty. In numerical applications, a rotation field approximating can be expected to be unstable in the vicinity of the branching point . Hence, a penalty which explicitly rewards an approximation to the bifurcation point seems to be a delicate property. In strong contrast, for the case when the Cosserat couple modulus is zero, i.e., , the penalty term vanishes entirely. This hints at a possibly more favorable qualitative behavior of the model in that case; cf. [19].*
We recall that the tangent bundle is isomorphic to the product as a vector bundle. This is commonly referred to as the left trivialization, see, e.g., [5]. With this we can minimize over the tangent bundle in the following
Lemma 3.16**.**
Let . Then
[TABLE]
In the non-classical limit case , the preceding lemma yields a geometric characterization of the reduced Cosserat shear-stretch energy as a distance which we find remarkable.
Corollary 3.17** (Characterization of as a distance).**
Let and consider with singular values , i.e., not necessarily distinct. Then the reduced Cosserat shear-stretch energy admits the following characterization as a distance
[TABLE]
Here, denotes the euclidean distance function.
3.4 Alternative criteria for the existence of non-classical solutions
For , i.e., for strictly positive , the singular radius satisfies . We now define a quite similar constant, namely
[TABLE]
Furthermore, we define the -neighborhood of a set relative to the euclidean distance function as
N_ε(X) ≔ {Y ∈R^n ×n | dist_euclid(Y, X) < ε} .
Lemma 3.18** (Classical -neighborhood for ).**
Let , and . Then we have the following inclusion
[TABLE]
In other words, for all satisfying , the polar factor is the unique minimizer of .
Lemma 3.19**.**
Let , i.e., , where are ordered singular values of , not necessarily distinct. Then
[TABLE]
i.e., induces a strictly non-classical minimizer. Equivalently, implies the estimate .
Remark 3.20**.**
If we make the stronger assumption , we obtain a strict inequality . In that case, is strictly non-classical.
Corollary 3.21**.**
Let , and assume that . Then
[TABLE]
i.e., the minimizers are strictly non-classical.
4 Optimal rotations in general dimension
The key insight for the solution of the minimization problem in general dimension is a new approach to the analysis of the critical points. The Euler-Lagrange equations for are equivalent to
[TABLE]
This is a symmetric square condition for the relative rotation , since
[TABLE]
As it is sufficient to compute the optimal relative rotation , we simply set for the rest of this section.
One might suspect that the critical points of are connected to real matrix square roots of real symmetric matrices. And indeed, the structure of the set of critical points of can be revealed quite elegantly by a specific characterization of the set of real matrix square roots of real symmetric matrices. Note that this characterization [2, Thm. 2.13], which is similar in spirit to the standard representation theorem for orthogonal matrices as block matrices, seems not to be known in the literature. Due to this representation, the square roots of interest can always be orthogonally transformed into a block-diagonal representation which reduces the minimization problem from arbitrary dimension into decoupled one- and two-dimensional subproblems. These can then be solved independently. From this point of view, a non-classical minimizer in , simultaneously solves a one-dimensional and a two-dimensional subproblem. The one-dimensional problem determines the rotation axis of the optimal rotations, while the two-dimensional subproblem determines the optimal rotation angles.
The degenerate cases of optimal Cosserat rotations arising for recurring parameter values , , in the diagonal parameter matrix has not been treated previously in [10], but is also accessible with the general approach. Note that this case corresponds to the special case of two or more equal principal stretches which is an important highly symmetric corner case in mechanics.
Combining the results of the two preceding sections, we can now describe the critical values of the Cosserat shear-stretch energy which are attained at the critical points. The main result of this section is a procedure (algorithm) which traverses the set of critical points in a way that reduces the energy at every step of the procedure and finally terminates in the subset of global minimizers.
Technically, we label the critical points by certain partitions of the index set containing only subsets with one or two elements. In the last section, we have seen that the subsets and a choice of sign for uniquely characterize a critical point .
Let us give an outline of the energy-decreasing traversal strategy starting from a given labeling partition (i.e., critical point):
Choose the positive sign for each subset of the partition. 2. 2.
Disentangle all overlapping blocks for (cf. Lemma 4.5). 3. 3.
Successively shift all -blocks to the lowest possible index, i.e., collect the blocks of size two as close to the upper left corner of the matrix as possible (cf. Lemma 4.3). 4. 4.
Introduce as many additional -blocks by joining adjacent blocks of size as the constraint allows (cf. Lemma 4.3).
The next theorem connects the value of realized by a critical point with its labeling partition and the choice of determinants which characterize it.
Theorem 4.1** (Characterization of critical points and values).**
*Let the entries of . Then the critical points can be classified according to partitions of the index set into subsets of size one or two and choices of signs for the determinant for each subset . The subsets of size two satisfy
{| νi+ νj| > 2, det[RI] = +1 , and|νi- νj|> 2, det[RI] = -1 .
The corresponding critical values are given by
W_1,0(R ;D) = ∑_I = {i} det[R_I] = 1 (ν_i - 1)^2
- ∑_I = {i} det[R_I] = -1 (ν_i + 1)^2
- ∑_I = {i,j} det[R_I] = 1 12(ν_i - ν_j)^2
- ∑_I = {i,j} det[R_I] = -1 12(ν_i + ν_j)^2 .
Remark 4.2** (On non-distinct entries of ).**
*If we allow
ν_1 *≥ν_2 ≥…≥*ν_n > 0
for the entries of , then the - and -invariant subspaces are not necessarily coordinate subspaces. This produces non-isolated critical points but does not change the formula for the critical values.*
In order to compute the global minimizers for the Cosserat shear-stretch energy , we have to compare all the critical values which correspond to the different partitions and choices of the signs of the determinants in the statement of Theorem 4.1. We may, however, assume that for all subsets , see [2] for further details.
The following lemma shows that blocks of size two are always favored whenever they exist.
Lemma 4.3** (Comparison lemma).**
*If then the difference between the critical values of corresponding to the choice of a size two subset as compared to the choice of two size one subsets , is given by
-12(ν_i+ν_j-2)^2. *
Let us rewrite in a slightly different form in order to distill the contributions of the size two blocks in the partition.
Corollary 4.4**.**
*For the choices of there holds
W_1,0(R ;D) = ∥sym(RD-1) ∥^2 = ∑_i=1^n(ν_i - 1)^2 -12*∑*_I = {i,j} (ν_i+ν_j-2)^2. *
To study the global minimizers for the Cosserat shear-stretch energy in arbitrary dimension , we need to investigate the relative location of the size two subsets of the partition.
Lemma 4.5**.**
Let be a global minimizer for . Then cannot contain overlapping size two subsets, i.e., , , with .
We are now ready to state the result in the general -dimensional case.
Theorem 4.6**.**
*Let be the entries of . Let us fix the maximum for which . Any global minimizer corresponds to the partition of the form
{1,2} ⊔{3,4} ⊔…⊔{2k-1, 2k} ⊔{2k+1} ⊔…⊔{n}
and the global minimum of is given by*
[TABLE]
Remark 4.7**.**
The number of global minimizers in the above theorem is , where is the number of blocks of size two in the preceding characterization of a global minimizer as a block diagonal matrix. All global minimizers are block diagonal, similar to the previously discussed case.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] C. G. Boehmer, P. Neff, and B. Seymenoglu. Soliton-like solutions based on geometrically nonlinear Cosserat micropolar elasticity. ar Xiv preprint ar Xiv:1503.08860 , 2015. http://arxiv.org/pdf/1503.08860 v 1 , to appear in Wave Motion.
- 2[2] L. Borisov, A. Fischle, and P. Neff. Optimality of the relaxed polar factors by a characterization of the set of real square roots of real symmetric matrices. ar Xiv preprint ar Xiv:1606.09085 , 2016. https://arxiv.org/abs/1606.09085 .
- 3[3] C. Bouby, D. Fortuné, W. Pietraszkiewicz, and C. Vallée. Direct determination of the rotation in the polar decomposition of the deformation gradient by maximizing a Rayleigh quotient. Z. Angew. Math. Mech. , 85:155–162, 2005.
- 4[4] E. Cosserat and F. Cosserat. Théorie des corps déformables . Librairie Scientifique A. Hermann et Fils (engl. translation by D. Delphenich 2007, available online at https://www.uni-due.de/~hm 0014/Cosserat_files/Cosserat 09_eng.pdf ), reprint 2009 by Hermann Librairie Scientifique, ISBN 978 27056 6920 1, Paris, 1909.
- 5[5] J. J. Duistermaat and J. A. C. Kolk. Lie Groups . Universitext. Springer, 2012.
- 6[6] V. A. Eremeyev, L. P. Lebedev, and H. Altenbach. Foundations of Micropolar Mechanics . Springer, 2012.
- 7[7] A. C. Eringen. Microcontinuum Field Theories. Vol. I: Foundations and Solids . Springer, 1999.
- 8[8] A. Fischle. The planar Cosserat model: minimization of the shear energy on SO ( 2 ) SO 2 \mathrm{SO}(2) and relations to geometric function theory. (diploma thesis). 2007. (available online: http://www.uni-due.de/~hm 0014/Supervision_files/dipl_final_online.pdf ).
