### The nature of stability

Let us begin by considering what the term ‘stability’ actually means within a physicochemical context. Our starting point is the observation that matter is not immutable, that the material world is undergoing continual change. That statement is, of course, empirically self-evident. Wherever one looks in the world, one can discern change, both physical and chemical. Significantly, however the *direction* of change can be summed up by the qualitative statement: *all physicochemical systems tend from less stable to more stable forms.* This general statement, not normally discussed (though alluded to by Dawkins [22]) may be thought of as axiomatic. It is inherent in the definition of the term ‘stable’ – unchanging, persistent over time. The statement is axiomatic in the sense that it is tautological to state that changing systems change, whereas unchanging ones do not. But within that tautology lies hidden a deeper truth. It is implicit that if matter does tend to undergo change, over time that change will necessarily be in the direction *from systems more susceptible to change* (i.e., less stable/persistent forms), *toward systems that are less susceptible to change* (i.e., more stable/persistent forms). Indeed, even if at some point the system were to change in the reverse direction, namely, from a relatively unstable form to a form that is even *less* stable, then, by definition, that change would be transitory, as the system would change yet again (by definition), until reaching a more stable form, one less susceptible to change (in the present context change is understood as one that is spontaneous, without the work or action of an external agent). Thus the direction of change is implicit in the very definition of stability. Stability is logically rather than empirically defined.

Note, however, that the above discussion has to an extent switched the concept of stability, normally associated with a system’s *energy* to one that focuses on the system’s *persistence, i.e.,* its stability over time. The question then arises: is the stability of a system manifest through its energetic properties, or by its unchanging character over time, regardless of energetic considerations? As we will now discuss, stability in its energetic sense necessarily leads to stability in its time (persistence) sense, but not all systems that are stable in a time (persistent) sense, are necessarily stable in an energetic sense.

### Existence of two stability kinds

The concept of stability as part of our consideration of the physicochemical world is of course fundamental and well-established, but the focus tends to be on just one kind of stability – thermodynamic stability, a stability kind associated with a system’s energy Accordingly, the general ‘less stable to more stable’ rule described earlier is expressed by the Second Law of Thermodynamics, a law which formalizes the stability concept by providing a means for its quantification. And being the rule that specifies the direction of all irreversible processes, there is no doubting the Second Law’s status as one of the fundamental tenets of physics and chemistry, one that operates at both macroscopic and cosmological levels. Of course the Second Law is not merely an empirical law, even though it was initially formulated as such by Clausius and Kelvin, but, as Boltzmann pointed out over a century ago, there is a mathematical logic, a mathematical underpinning to the law with the concept of entropy as its centerpiece [23]. Thus the most stable macrostate of a system (in energy terms) is the one described by the largest number of contributing microstates and the Second Law formulation of *‘less stable to more stable’* can be restated more insightfully as *‘less probable to more probable’*. Indeed, it is that inherent mathematical/statistical logic that elevates the broader concept of stability from one that is merely qualitative to one that is quantitative, thereby giving the law its almost hallowed status as one that is supremely incontestable. Importantly, a system that is stable in this energetic sense will also be stable in a time (persistence) sense. A system that has reached its lowest energy state, the equilibrium state, remains unchanged over time; *energetic stability invariably leads to time stability (persistence).*

Though energetic stability necessarily leads to time stability, the reverse does not necessarily apply. A system may well be stable in a time sense (persistent) without being stable in an energy sense. The familiar concept of *kinetic stability* characterizes that other stability kind, as exemplified by a hydrogen and oxygen gas mixture. Such a mixture is *highly unstable* in an energetic sense (a spark or catalyst will immediately result in water formation), but can be *highly stable* in a time sense – a mixture of the two gases may well persist over long periods of time.

But, as noted earlier, within the biological world as well as parts of the chemical world, an *alternative* kinetic stability kind exists and governs the nature of transformations within that world - DKS, a stability kind associated solely with the replicative world, and distinct to the more familiar static kinetic stability mentioned above. Indeed it is that concept of DKS that can help explain both replicative chemical, as well as biological, phenomena. Accordingly, replicating systems, though unstable in thermodynamic terms, are able to persist over time through continuing self-replication, and so are stable in kinetic terms. They are stable, not because they *do not* react, but because they *do* – to make more of themselves – thereby opening a door to a distinctly different organizational form of matter [4, 5, 13, 16, 18].

But what is the basis for this other stability kind? Is it just empirical, or is there some underlying imperative that enables it to circumvent the probabilistic drive of the Second Law? Does the DKS concept also express some underlying, but alternative mathematical logic, to the probabilistic one? The answer to this last question appears to be *yes*, DKS is also governed by a mathematically-based directive – the enormous kinetic power associated with systems able to undergo exponential growth due to the kinetic character of some (though not all) autocatalytic systems [24, 25]. The central role of autocatalysis in the emergence of life has long been recognized and has been described within different theoretical models [26–28]. And, indeed, it is the kinetic power associated with autocatalysis which initiates the beginning of divergence from a thermodynamically-directed world by the establishment of what is effectively a parallel kinetic world in which systems are found to be dynamic, energy consuming, far-from-equilibrium, and necessarily open to material and energy resources [12, 13]. Let us describe how this comes about.

Once a DKS state does emerge, it turns out that its key reactivity characteristic, its potential ability to evolve, is also governed by that same mathematical directive. Due to the action of the Second Law, a stable DKS system will over time necessarily undergo variation leading to competition between the variants for resources. It has been recognized since Lotka [29] that autocatalytic systems can exhibit a range of complex kinetic behaviors [30–32], but it was Lifson [33] who explicitly pointed out that two competing autocatalysts that exhibit exponential growth and feed off common resources cannot coexist. Solution of the relevant rate equations leads to an unambiguous result – the more stable replicator (in the time/persistent sense) drives the less stable one into extinction.

Of course, for the above evolutionary mechanism to be operative, the DKS system must be inherently evolvable [34, 35]. Thus an autocatalytic network of reactions, such as the one involved in the formose reaction [36], would not satisfy this condition, as it lacks any possibility of evolving toward a state of increased DKS. Similarly, a system involving the autocatalytic production of fatty acids leading to vesicle division [37] would also be unable to satisfy this condition. But once evolvability is present within the system, such as is naturally found in template-based biopolymeric replicating systems, the DKS formulation opens up a mechanism for the stabilization of inherently less stable replicating entities. In fact the drive toward greater DKS can be expected to favor those systems whose evolvability is greater, so that initially weak evolvability will itself likely evolve into stronger evolvability, giving rise to an open-ended evolutionary path [38]^{a}. The key point is, however, that within the above mentioned constraints, the DKS selection rule - *from DK less stable to DK more stable –* can also be seen to rest on a mathematical truism, the mathematics of exponential growth. The DKS selection rule thereby becomes an additional sub-set of the global selection rule, ‘less stable to more stable’, discussed earlier*.*

Given the different mathematical foundation for each of the two stability kinds, it should come as no surprise that the evolutionary process for each of the two material kinds follows different kinetic patterns. For an isolated system (exchanging neither matter nor energy with the environment) the system is directed toward the lowest energy state – the equilibrium state, where entropy is maximal, and the drift toward that state tends to be monotonic. For a persistent DK system, however, governed as it is by divergent and intrinsically non-linear autocatalytic processes, the drift toward its stationary state can result in periodic or even chaotic behavior [29, 39–41]. And being divergent, the system is not directed toward one specific state, but, rather, any number of feasible evolutionary pathways are possible. Moreover, the DKS formulation suggests that, in contrast to an isolated thermodynamic system, where the maximal (energetic) stability of the equilibrium state is achievable, in biological systems maximal stability (in the time/persistent sense) is unachievable. There can be no formal stability maximum in DKS systems given the almost infinite possibilities of variability that the divergent and open system description offers and the nature of stability in its time/persistence facet.

To summarize, whereas thermodynamic stability (for isolated systems) involves a *probabilistic reordering of the existing*, a drive toward entropically measured randomness, and is defined in energy terms, DKS is governed by the *kinetic power of exponential growth* acting on particular replicative systems and is manifest through its persistence over time. It is that kinetic power which both establishes the DK state and then drives it so as to channel that kinetic power most effectively, i.e., to exploit energetic and material resources most efficiently. Thus the empirical observation of an evolutionary process toward enhanced stability within the replicative world (whether replicative chemical or biological) *also* has its roots in a mathematical truism. Indeed DKS may be thought of as a Malthusian stability, in recognition of the contribution of Malthus to the appreciation of the consequences of exponential growth on replicating populations [42], and its subsequent influence on Darwin’s formulation of the concept of natural selection. The result – a continually expanding replicative network able to penetrate and exploit most any ecological niche, whether deep under the sea, high in the earth’s atmosphere, in polar ice-caps or tropical forests, above ground or miles below the earth’s surface - *two mathematically-based stability kinds leading to two distinct material forms.*

### Relationship between the two stability kinds

We have attempted to explain why there are just two material categories in nature, as well as the basis of those two categories, so let us now apply that insight to address aspects of the relationship that links those two material kinds. The fact that there are two stability kinds, each underpinned by its particular mathematical logic, means that the corresponding material forms can be expected to exhibit very different characteristics. And indeed they do. Whereas the properties of non-living things are largely explicable in well-established physical and chemical terms, the world of living things has proven resistant to similar characterization. We return to the issue of teleonomy, the term popularised by Monod specifically to describe the behavior of biological systems [14]*.* All living systems appear to have an agenda, to be goal-directed, as evident in their actions - building a nest, raising young, fighting off predators, and so on. But how can living things, ultimately nothing more than a form of material organization, act in a goal-directed fashion? How does life’s unequivocal teleonomic character cohabit with the essence of the modern scientific revolution – nature’s objective character?

It turns out that cohabitation need not be contradictory, that nature can be both objective *and* goal-directed. Once it is recognized that change is written into nature’s laws, and that nature *is* goal-directed in a way that is *logically prescribed -* toward systems of greater stability, then the existence of two worlds, one living, one non-living, becomes explicable. There are *two* distinct kinds of stabilities in nature, so nature’s goal directedness reflects that duality - in the non-living world nature follows the thermodynamic directive (termed by Mayr *teleomatic*[15]), the probabilistic drive toward uniformity, toward so-called heat death, whereas for persistent replicating systems, nature’s drive is toward replicative stability (DKS), with its teleological undertones (though consistent with the requirements of the Second Law). Thus nature’s goal-directedness with respect to persistent replicating systems, though teleologically tinged, can now be understood *as manifesting an aspect of its objective character* – the fundamental drive of *all* material systems toward ever greater stability.

Once the issue of goal-directedness in the biological world is resolved, two of biology’s seemingly incompatible bedfellows – stability and complexity – can be harmoniously wedded, and this can be brought about through the mediating concept of function. As one of us has recently described, in the replicating world stability and function are directly related - greater replicative stability is induced through enhanced replicative function [20]. But, as is readily verifiable, there is also a logical connection between function and complexity. Function, of whatever kind, biological or technological, is almost invariably enhanced through complexity. Indeed, to paraphrase Carl Sagan’s famous aphorism, one could say: *extraordinary function requires extraordinary complexity,* thereby offering insight into the connection between life’s extraordinary functionality and its staggering complexity. But from these two relationships it then follows that (replicative) stability and complexity are also linked – greater complexity is necessary for greater stability. The physical-biological relationality can be summed up by the triad: *stability – function – complexity*, all interconnected and interrelating [20].

As a final point, let us now address a purely material aspect, the issue of material transfer between the two worlds, as evidenced on this planet. First, why was inanimate transformed into animate matter in the first place, i.e., why did life emerge. Second, it is obvious that once life was established on our planet, there has been a continual transfer of matter between the two material forms; living things die and their material form reverts to inanimate, while in the reverse direction, inanimate matter is drawn into the web of life, and thereby transformed into animate matter. But which process is dominant, and why? What can one say about the rates of material transformation in the two directions starting from that moment when earliest life was able to emerge?

The fact that life presumably started off in some limited physical location and expanded rapidly to occupy just about every conceivable planetary niche capable of sustaining life states unambiguously that once a stable and evolvable DKS system emerged on earth the rate of inanimate to animate transformation exceeded the reverse process, i.e., the rate of animate degradation. The fact that this difference is fundamental, not merely incidental, is confirmed by a recent estimate of the ongoing rate of growth of the earth’s biomass, ca. 10^{17} g C/year [43]. That rate of growth turns out to be a significant percentage of the earth’s total estimated biomass, ca. 10^{18} g C [44]. In other words from the moment that life on earth emerged, there is every indication that for much of the time animate formation exceeded animate degradation. In fact, one might even see in man’s attempt to physically explore the universe beyond our planet as an expression of animate matter’s tendency to expand into all available niches, to continue life’s relentless drive to expand wherever possible.

The reason for the clear imbalance in the rate of animate formation compared its decay, can now be pointed out. Based on the stability kinds involved, the conversion of animate to inanimate – death – is expected to be *slower* than the process of animate formation leading to life. Animate to inanimate is governed by the Second Law, by the more muted directive, the one concerned with material reorganization based on probabilistic considerations, while inanimate to animate is autocatalytic and driven by the kinetic power of exponential growth. Thus once a stable DK system emerges, i.e., once a network of far-from-equilibrium metabolic reactions that is holistically replicative is firmly established, the on-going drive toward greater DKS wins out, and the Second Law directive is circumvented and marginalized. In fact an energy-gathering metabolic capability must be an intrinsic component of the DKS system [12, 13] for the Second Law requirement to be satisfied. Or put another way, once the necessary conditions for life’s emergence are met and life is established, the *kinetic* drive toward more life, and more efficient life, overshadows the *thermodynamic* directive toward death, though of course that continuing transformation is conditional on a continuing source of energy. And the environmental consequences of that kinetic imbalance is dramatic and clear to see – life is (effectively) everywhere. The cosmological implications of these simple ideas need further consideration, but the preliminary conclusion seems to be that, provided a continual source of energy is available (most likely fed by nuclear processes in suns), matter will preferentially be driven from inanimate to animate, from non-replicative to replicative, that life will invariably prevail over non-life.

Notwithstanding the above comments, it should also be made clear that the dominance of animate formation over its degradation should not be seen as smoothly monotonic, but rather one that can itself be highly contingent, as is evident in the evolutionary process itself. It is generally believed that in the long evolutionary process toward ever more effective replicating networks there may have been periods of regression as a result of drastic ecological and/or climatic changes, such as the emergence of oxygen as a significant component of the earth’s atmosphere [45]. Such an event could likely have led to the destruction of anaerobic life forms that populated the early planet. But the underlying long-term trend is unmistakable – the exponential driving force of living processes overwhelms the mathematically weaker Second Law directive.

### The question of life’s contingency

The above discussion on life’s emergence, and its explosive (and continuing) expansion since its emergence, leads us to the problematic issue of *life’s contingency*. In fact it is the issue of contingency which remains the central unresolved dilemma in our attempt to place animate systems squarely within a comprehensive material framework. In order to connect between the inanimate and animate worlds, it is presumed that the life process would have begun with the *contingent* emergence of a persistent and evolvable DK system, even though the likelihood of such a system emerging spontaneously currently remains unknown. So how contingent is life? What materials and reaction conditions would facilitate the emergence of a suitable DKS system? We do not know and we are still far from being able to answer these questions. That is the prime reason we are unable to specify how likely it is for life to exist elsewhere in the universe. But we may be at a turning point. Through recent advances in systems chemistry [46, 47], the path to enlightenment now seems more clearly marked, with preliminary results, both experimental [48] and theoretical [49], suggesting that replicative networks are under certain circumstances able to emerge spontaneously. Thus the immediate goal: the synthesis of stable DK systems so as to enhance our understanding of how DKS systems can be generated, and how readily they can be maintained. The DKS state is a chemically intricate and dynamic entity so its synthesis cannot be assumed to be a trivial one. Theory now needs to give way to experiment, very much in line with Richard Feynman’s aphorism: “What I cannot create, I do not understand”. And with regard that most intriguing of questions: how likely is it that life exists elsewhere in the universe, paradoxically, it could well be that through experiments conducted on earth, that we may finally reveal the likelihood of life existing elsewhere in the universe. In any case, a prevailing perception that protolife might be created through incorporating some replicating entity and its building blocks within a vesicle-like structure, seems unlikely to be productive, as several of the prerequisites of the DK state would be absent. The evolutionary process by which life was able to undergo such extraordinary complexification can only be understood in the context of exponential replicating systems.