Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Asymptotic freedom and noninteger dimensionality

Abstract

This paper shows that below a critical value of dimensionality that lies between two and three, the potential between objects begins to fall as the energy levels increase. For dimensionality below two, the potential becomes constant irrespective of separation and the force between them disappears, which represents a new paradigm of asymptotic freedom. Since asymptotic freedom is at the basis of many applications such as those associated with strange metals, unconventional superconductors, and fractional quantum Hall states, the new paradigm can have novel applications. It also is of relevance to the study of anomalous mechanical effects that are important in metamaterials.

Introduction

It was recently shown1 that taking the physical space to have noninteger dimensionality explains the origins of the inverse square law and resolves the discrepancy in two different estimates of the Hubble constant. In this paper, we investigate a further implication of this theory to the anomalous situation of strong interaction at large distances and much weaker interaction at short distances, which is a characteristic of asymptotic freedom2,3,4.

From the perspective of information theory, the optimum number of dimensions is the noninteger (and irrational) number e and since Nature chooses optimality, this should be the dimensionality of physical space1,5 and the inverse square law itself may be seen as a consequence of noninteger dimensionality6. The information efficiency per dimension is \(E\left( d \right) = \frac{\ln d}{d}\) (Fig. 1 shows the efficiency rise from zero for d = 1, with peak at e) and the intrinsic dimensionality of data is also e7,8. As dimensionality and information are foundational to the understanding of physical reality, these ideas ought to be of relevance in the understanding of asymptotic freedom.

Figure 1
figure1

Dimensional efficiency is maximum at d = e.

Asymptotic freedom is counterintuitive9, and it plays a role in novel states of matter that include strange metals, unconventional superconductors10,11, and fractional quantum Hall states12,13,14. As a property of some gauge theories, it offers a mechanism for confinement at large distance by invoking properties of the mathematical structures used to describe these interactions.

Other counterintuitive phenomena are associated with negative differential response, and they are to be found not only in physics but also in chemistry and biological processes15. In materials that exhibit negative linear compressibility, there is expansion in one or more directions during the process of uniform compression16,17,18 and this anomalous mechanical behavior has found applications in the design of pressure sensors, artificial muscles and actuators19,20,21.

This counterintuitive nature is sometimes understood through the lens of the complementarity principle22, which provides a way to view seemingly inconsistent descriptions as two sides of the same reality. Although, the principle arose originally in quantum theory, it has been argued that it should apply much more broadly to diverse fields of science23, including biological phenomena24. Complementarity is the description of the same phenomenon in distinct, categorically different ways that cannot be done in the same spatial, temporal, or situational context.

The notion of dimension applies to physical reality at all conceivable scales, therefore one must also consider anomalous mechanical properties of materials that emerge from compressing three-dimensional volumes into lower dimensions25,26,27, which may be seen as an example of increasing the energy scale, with prospective applications to superconductivity, ferroelectricity, information communication, sensing and detection28,29,30.

Some of the inconsistencies in the interpretation of phenomena could be the consequence of different ways space is considered in the theory. As stressed by Landauer31, information is physical and, therefore, information-theoretic ideas must play a key role in the understanding of the above-mentioned anomalous phenomena.

In this paper, rather than examining the application of noninteger dimensionality to any of the above phenomena directly, we show that a novel version of asymptotic freedom is associated with noninteger dimensionality. This represents an unexpected new framework with potential applications similar to those of anomalous mechanical properties of materials. Also, since gauge transformations relate to the very nature of space, dimensionality may be of relevance to gauge theories.

Dependence on d

We can visualize a given noninteger space sitting within the container of the ceiling integer space (e.g. 1.7-dimensional space sits within the 2-dimensional space). It may be argued that a fundamental characteristic of a noninteger space is that of a continual shrinking of the metrical relationships between objects1,6. This is seen most clearly when we visualize a 2-dimensional space obtained from a 3-dimensional space which will cause all the points in the third dimension to collapse to the extant two dimensions.

Consider the example of a noninteger space with dimension d, which we shall compare with its ceiling function d the smallest integer greater than it. Since dimensionality is an additive property, we can distribute the fractional part along any direction. Thus d = 1.8 (within the implicit 2-dimensional ceiling space) would imply a dimension of 0.9 along the one-dimensional infinite line in any direction.

The view of the noninteger dimension that there are gaps in the space is complementary to the view that relative measures on the line tend to shrink in proportion to the value of dimensionality, and the tendency to do so is a function of the ratio \(\frac{{\left( {d - d} \right)}}{d} = \frac{1}{d}f\left( {d - d} \right),\) where d is the ceiling function of d, and \(f\left( {d - d} \right)\) represents the functional relationship with respect to the departure of the dimension value from its ceiling integer. For the example of d = 1.8, the shrinking is a function of \(\frac{1}{2}f\left( {0.2} \right)\).

The tendency for space to contract constitutes a potential, making points associated with events that the observer witnesses to tend to come closer to each other. This potential leads to dynamics that emerge thus from the very nature of space. This potential is not assumed to have an a priori existence, independent of dimensions, and therefore it represents a view different from the current understanding.

Since d characterizes the space, the potential between two objects with unit measures must also be inversely related to the separation so that objects that are further apart have less influence on each other than those that are near. Points on a 1-dimensional infinite space stay where they are, whereas those on a 0.8-dimensional infinite space will have a potential to come closer by the 0.8 measure. Consider two objects with unit measures with a separation of r, and let the potential be defined by \(p_{d} \left( {d,r} \right)\).

The sphere representing the equipotential surfaces at a distance of r has surface equal to \(S_{d} \left( {d,r} \right),\) but the distance r should be modified to \(\frac{d r}{d}\) because the density of the space along any line is smaller by the fraction \(\frac{d}{d}.\) Therefore, the potential will be proportional to

$$p_{d} \left( {d,r} \right) = \frac{{f\left( {d - d} \right) d r}}{{d^{2} }} \times \frac{1}{{S_{d} \left( {d,r} \right){ }}} = \frac{{f\left( {d - d} \right) d r}}{{d^{2} S_{d} \left( {d,r} \right)}}$$
(1)

The value of Sd for 3- and 2- and 1-dimensional worlds is 4πr2, 2πr, and 0, respectively, and these are the surface area of a sphere, the circumference of a circle, and the length of a point. Corrected for reduced density, the expression for \(S_{3} \left( {d,r} \right),\) and \(S_{2} \left( {d,r} \right)\) becomes:

$$S_{3} \left( {d,r} \right) = \frac{4}{9}\pi r^{2} d^{2} ; \quad S_{2} \left( {d,r} \right) = \frac{2\pi rd}{2} = \pi rd$$
(2)

The potentials for the ranges 2 < d < 3 and 1 < d < 2, that is \(p_{3} \left( {d,r} \right)\) and \(p_{2} \left( {d,r} \right),\) will be:

$$p_{3} \left( {d,r} \right) = \frac{{f\left( {3 - d} \right)}}{4\pi rd};\quad p_{2} \left( {d,r} \right) = \frac{{f\left( {2 - d} \right)}}{4\pi }$$
(3)

Note that \(p_{2} \left( {d,r} \right)\) is independent of r.

The forces corresponding to these potentials will be the derivative of the expressions (3). For a fixed d, over the range 2 < d < 3, the potential is proportional to 1/r and therefore the forces between objects in such a space will be proportional to \({\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 {r^{2} }}}\right.\kern-\nulldelimiterspace} \!\lower0.7ex\hbox{${r^{2} }$}}\). This is the origin of the inverse square law1,6.

The potentials as functions of dimensionality alone (in which case we simply drop r as a variable) are:

$$p_{3} \left( d \right) = \frac{{f\left( {3 - d} \right)}}{4\pi d};\quad p_{2} \left( d \right) = \frac{{f\left( {2 - d} \right)}}{4\pi }$$
(4)

We need a theoretical framework to find these functions. In what follows, we use mathematical constraints to propose some candidates for these functions.

The function p 3(d)

Some further constraints are needed to find plausible candidates for \(f\left( {3 - d} \right).\) This function should be zero for the values just outside the interval 2 < d < 3 at d = 2 and 3. The functions should be universal for unconstrained systems (as in cosmology), but would depend on external constraints for an engineered system.

A matched distribution. If physical structures are compared to the optimal filter corresponding to natural distribution, then the use of optimum signal theory32 will require that the potentials be matched to the efficiencies associated with the d-values.

One can associate a pdf with the dimension d and call it the DED (dimensional efficiency distribution) f(d) with the range from 1 to the maximum of N:

$$f\left( d \right) = \frac{2}{{(\ln N)^{2} }}\frac{\ln d}{d},\quad 1 \le d \le N$$
(5)

where the factor \(\frac{2}{{(\ln N)^{2} }}\) is to ensure that the area under it is 1. Its expectation is \(E\left( D \right) = \frac{2}{{(\ln N)^{2} }} (N\ln N - N + 1)\), and its variance is

$$VAR\left( D \right) = \frac{2}{{(\ln N)^{2} }}\left( {\frac{\ln N}{2} N^{2} - \frac{{N^{2} }}{4} + \frac{1}{4}} \right) - E\left( D \right)^{2} .$$

The value of N that is of interest to those looking at physical dimensions is 3. For such a case \(\frac{2}{{(\ln N)^{2} }} \cong 1.657\) and \(E\left( D \right) \cong 2.147\) and \(VAR\left( D \right) \cong 0.268.\) Although the optimal value of dimensionality is e, the expected value of dimension is substantially less at 2.148 with a variance of 0.268.

If N = e, \(E\left( D \right) = 2\) and \(VAR\left( D \right) \cong 0.195.\) One can define a generalization of the DED as follows: \(f_{gen} \left( {a, d} \right) = \frac{2a}{{({\text{ln a}}N)^{2} }}\frac{\ln ad}{d}, 1 \le d \le N\), with the discrete version \(p\left( n \right) = \frac{1}{K}\frac{\ln an}{n}, 1 \le n \le N\) where \(K = \sum\nolimits_{i = 1}^{N} {\ln \left( {ia} \right)^{1/i} }\).

To return to the d-dimensional space acting as a matched filter, one may choose the following function:

$$f_{A} \left( {3 - d} \right) = \left( {d - 2} \right)\left( {3 - d} \right)\frac{\ln d}{d}$$

with \(p_{3,A} \left( d \right) \propto \left( {d - 2} \right)\left( {3 - d} \right)\) \(\frac{lnd}{{d^{2} }}\), which is shown in Fig. 2. It has a peak at d = 2.455.

Figure 2
figure2

Potential \(p_{3,A} \left( d \right)\) with peak at 2.455.

Now we consider two ad hoc functions that satisfy the constraints of zero values at 2 and 3. The first of these is the same as that of Fig. 2 excepting for the normalizing weight, which is linear with respect to these constraints; the second is linear with respect to 2 and exponential with respect to 3 with exponent of 0.25.

$$f_{B} \left( {3 - d} \right) = \left( {d - 2} \right)\left( {3 - d} \right)$$
(6)
$$f_{C} \left( {3 - d} \right) = \left( {d - 2} \right)\left( {e^{{\left( {3 - d} \right)}} - 1} \right)^{1/4}$$
(7)

The potential function will then have the following characteristics:

$$p_{3,B} \left( d \right) = \frac{{\left( {d - 2} \right)\left( {3 - d} \right)}}{4\pi d}$$
(8)
$$p_{3,C} \left( d \right) = \frac{{\left( {d - 2} \right)\left( {e^{{\left( {3 - d} \right)}} - 1} \right)^{1/4} }}{4\pi d}$$
(9)

The critical dimension d crit

Figure 3 is a map of the above potential functions. The peak for the blue curve (Eq. 8) is at d = 2.4495, whereas the peak for the red curve (Eq. 9) is at d = 2.7195. This latter maximum is quite close to the optimal value of e. The value of the dimensionality at which the potential is maximum will be termed dcrit the critical dimension.

The continuing reduction of dimensionality is further injection of energy into the system. Figures 2 and 3 show that as we move from the right to the left with decreasing value of d until dcrit is reached, we witness increasing energy density in the space and the potential increases, which means that the interaction amongst the particles increases. But beyond dcrit, which in the three cases of these figures occurs somewhere between 2 and 3, we come across counterintuitive behavior where increasing energy (equivalent to reducing dimensionality) reduces the strength of interaction. Increasing dimensionality beyond the critical dimension also reduces this strength, and this behavior has obvious applications for understanding evolution in cosmology.

Figure 3
figure3

Potential with respect to dimensionality; blue line \(p_{3,B} \left( d \right),\) and red line \(p_{3,C} \left( d \right)\).

Asymptotic freedom for 1 < d < 2

For situations where the ceiling dimensionality is 2, the potential function \(p_{2} \left( {d,r} \right) = \frac{{f\left( {2 - d} \right)}}{4\pi }\) being independent of r implies that objects in such a space will experience the same potential and, therefore, will behave as if in a bag, and experience no force that varies with the separation. There will be a dependence on d, that can be put to use in engineering applications.

Since there is no dependence with respect to separation, this represents a case of asymptotic freedom that is arrived at by squeezing the dimensionality of space. This fact represents a most unexpected property associated with the dimensionality of noninteger spaces.

Although there is no noninteger space generated intrinsic dynamics for the case of 1 < d < 2, there could be dynamics as a consequence of externally applied forces that need to be analyzed separately.

Conclusions

This paper explored properties of noninteger dimensionality and examined how interaction potentials across objects vary. It was shown that as the dimensionality falls below dcrit somewhere around the mid-point of 2 and 3, the potential begins to fall, signifying a reduction in the interactions amongst the particles. At d = 2 and below, it becomes constant, irrespective of separation, and the force between objects disappears, which represents a case of asymptotic freedom that can be the basis of novel applications. This is a surprising property of noninteger spaces.

We have shown that objects in a 2-dimensional space will not interact with each other, but as the dimensionality increases beyond 2, the interactions begin to increase in strength until the point of maximum strength. Systems could be engineered where the difference in these regimes is exploited to perform specific signal processing or anomalous mechanical function. This also opens up the question of how to control the value of the critical dimension that is likely to be an important variable in the design of metamaterials.

The work in this paper provides a dimensionality-based explanation of interactions becoming weaker as energy scales increase. Whether this phenomenon based on dimensionality of space has any connection with other models of asymptotic freedom remains to be investigated.

References

  1. 1.

    Kak, S. Information theory and dimensionality of space. Sci. Rep. 10, 20733. https://doi.org/10.1038/s41598-020-77855-9 (2020).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Gross, D. J. Asymptotic freedom. Phys. Today 40(1), 39 (1987).

    ADS  CAS  Article  Google Scholar 

  3. 3.

    Gross, D. J. & Wilczek, F. Ultraviolet behavior of non-abelian gauge theories. Phys. Rev. Lett. 30, 1343–1346 (1973).

    ADS  CAS  Article  Google Scholar 

  4. 4.

    Politzer, H. D. Reliable perturbative results for strong Interactions. Phys. Rev. Lett. 30, 1346–1349 (1973).

    ADS  CAS  Article  Google Scholar 

  5. 5.

    Kak, S. The base-e representation of numbers and the power law. Circuits Syst. Signal Process. https://doi.org/10.1007/s00034-020-01480-0 (2020).

    Article  Google Scholar 

  6. 6.

    Kak, S. Noninteger Dimensional Spaces and the Inverse Square Law. (2020). TechRxiv: https://www.techrxiv.org/articles/preprint/Noninteger_Dimensional_Spaces_and_the_Inverse_Square_Law/13079720.

  7. 7.

    Kak, S. Information, representation, and structure. International Conference on Recent Trends in Mathematics and Its Applications to Graphs, Networks and Petri Nets, New Delhi, India (2020).

  8. 8.

    Kak, S. The intrinsic dimensionality of data. Circuits Syst. Signal Process. https://doi.org/10.1007/s00034-020-01583-8 (2020).

    Article  Google Scholar 

  9. 9.

    Shore, B. W. Examples of counter-intuitive physics. Contemp. Phys. 36, 15–28 (1995).

    ADS  Article  Google Scholar 

  10. 10.

    Keimer, B. et al. From quantum matter to high-temperature superconductivity in copper oxides. Nature 518, 179–186 (2015).

    ADS  CAS  Article  Google Scholar 

  11. 11.

    Zaanen, J. Why the temperature is high. Nature 430, 512–513 (2004).

    ADS  CAS  Article  Google Scholar 

  12. 12.

    Stoudenmire, E. M. & White, S. R. Studying two-dimensional systems with the density matrix renormalization group. Annu. Rev. Condens. Matter Phys. 3, 6.1-6.18 (2012).

    Article  Google Scholar 

  13. 13.

    da Silva Neto, E. H. et al. Ubiquitous interplay between charge ordering and high-temperature superconductivity in cuprates. Science 343, 393–396 (2014).

    ADS  Article  Google Scholar 

  14. 14.

    Fujita, K. et al. Simultaneous transitions in cuprate momentum-space topology and electronic symmetry breaking. Science 344, 612–616 (2014).

    ADS  CAS  Article  Google Scholar 

  15. 15.

    Falasco, G. et al. Negative differential response of chemical reaction currents. New J. Phys. 21, 66 (2019).

    Article  Google Scholar 

  16. 16.

    Baughman, R. H., Stafstrom, S., Cui, C. X. & Dantas, S. O. Materials with negative compressibilities in one or more dimensions. Science 279, 1522–1524 (1998).

    ADS  CAS  Article  Google Scholar 

  17. 17.

    Nicolaou, Z. G. & Motter, A. E. Mechanical metamaterials with negative compressibility transitions. Nat. Mater. 11, 608–613 (2012).

    ADS  CAS  Article  Google Scholar 

  18. 18.

    Jiang, X. et al. Anomalous mechanical materials squeezing three-dimensional volume compressibility into one dimension. Nat. Commun.. 11, 5593 (2020).

    ADS  CAS  Article  Google Scholar 

  19. 19.

    Frenzel, T., Kadic, M. & Wegener, M. Three-dimensional mechanical metamaterials with a twist. Science 358, 1072–1074 (2017).

    ADS  CAS  Article  Google Scholar 

  20. 20.

    Fang, N. et al. Ultrasonic metamaterials with negative modulus. Nat. Mater. 5, 452–456 (2006).

    ADS  CAS  Article  Google Scholar 

  21. 21.

    Uhoya, W. et al. Anomalous compressibility effects and superconductivity of EuFe2As2 under high pressures. J. Phys. Condens. Matter 22, 292202 (2010).

    Article  Google Scholar 

  22. 22.

    Bohr, N. Atomic Theory and the Description of Nature (Cambridge University Press, Cambridge, 1934).

    MATH  Google Scholar 

  23. 23.

    Bohr, N. Essays 1958–1962 on Atomic Physics and Human Knowledge (Wiley, New York, 1963).

    MATH  Google Scholar 

  24. 24.

    Pattee, H. H. The complementarity principle in biological and social structures. J. Soc. Biol. Struct. 1, 191–200 (1978).

    Article  Google Scholar 

  25. 25.

    Lee, Y., Vogt, T., Hriljac, J. A., Parise, J. B. & Artioli, G. Pressure-induced volume expansion of zeolites in the natrolite family. J. Am. Chem. Soc. 124, 5466–5475 (2002).

    CAS  Article  Google Scholar 

  26. 26.

    Vakarin, E. V., Duda, Y. & Badiali, J. P. Negative linear compressibility in confined dilatating systems. J. Chem. Phys. 124, 144515 (2006).

    ADS  CAS  Article  Google Scholar 

  27. 27.

    Grima, J. N., Attard, D. & Gatt, R. Truss-type systems exhibiting negative compressibility. Phys. Status Solidi B 245, 2405–2414 (2008).

    ADS  CAS  Article  Google Scholar 

  28. 28.

    Lakes, R. S., Lee, T., Bersie, A. & Wang, Y. C. Extreme damping in composite materials with negative-stiffness inclusions. Nature 410, 565–567 (2001).

    ADS  CAS  Article  Google Scholar 

  29. 29.

    Scheibner, C. et al. Odd elasticity. Nat. Phys. 16, 475–480 (2020).

    CAS  Article  Google Scholar 

  30. 30.

    Balogh, S. G. et al. Generalized entropies, density of states, and non-extensivity. Sci. Rep. 10, 15516 (2020).

    ADS  CAS  Article  Google Scholar 

  31. 31.

    Landauer, R. The physical nature of information. Phys. Lett. A 217, 188–193 (1996).

    ADS  MathSciNet  CAS  Article  Google Scholar 

  32. 32.

    Turin, G. L. An introduction to matched filters. IRE Trans. Inform. Theory IT-6, 311–329 (1960).

    MathSciNet  Article  Google Scholar 

Download references

Author information

Affiliations

Authors

Contributions

The research represents author’s own work.

Corresponding author

Correspondence to Subhash Kak.

Ethics declarations

Competing interests

The author declares no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kak, S. Asymptotic freedom and noninteger dimensionality. Sci Rep 11, 3406 (2021). https://doi.org/10.1038/s41598-021-83002-9

Download citation

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing