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Chapter 6. The Negentropy Flow of a Relationship: Novelty, Meaning and Repair

Three inflows

Chapter 3 described a relationship’s shared order xx with a drive μ=J−L−c\mu = J – L – c. Chapter 5 dealt with the leak LL. This chapter takes the inflow JJ apart. The model and the evidence suggest that it has three components, which work in different ways:

J=Jnovelty+Jmeaning+Jrepair.J = J_{\text{novelty}} + J_{\text{meaning}} + J_{\text{repair}} .

Novelty is the stream of new, learnable shared experience of Chapters 2 and 4. Meaning is what the two people make of their experience together: the stories, goals and rituals that turn a sequence of events into a shared life. Repair is what happens after conflict, the speed and reliability with which the two return to their usual closeness. The first two raise the drive. The third, as this chapter will show, protects the state itself, and matters most exactly when the drive is weakest.

Novelty: expanding the self

Evidence

Arthur and Elaine Aron’s self-expansion model proposes that people are motivated to expand their sense of self, its resources, perspectives and identities, and that close relationships are one of the main ways they do so: partners come to include each other in the self (Aron and Aron 1986). In a prospective study, students who fell in love during the study showed a greater increase in the diversity of their self-descriptions than students who did not (Aron, Paris, and Aron 1995). Closeness can be measured with the Inclusion of Other in the Self scale, a set of pairs of overlapping circles (Aron, Aron, and Smollan 1992).

Self-expansion and the learning model of Chapter 2 describe the same thing at two levels. Early in a relationship, each partner is a large source of learnable novelty: a new person, new friends, new places, a new way of seeing. The self grows quickly, and the prediction errors are large. As the partners come to know each other, the growth slows. The experiments of Chapter 3, in which couples who did novel and arousing activities together reported larger gains in relationship quality (Aron et al. 2000), suggest that the growth can be restarted by finding new things to learn together, so that the expansion is again associated with the partner.

Meaning: turning surprise into a shared model

Novelty alone is not enough. A life of constant new experiences, none of which connects to the others, would have high surprisal and little shared structure. What turns experience into order is the work of making sense of it together.

Evidence

Shelly Gable and colleagues studied what happens when people share good news with a partner. Sharing positive events was associated with more positive feeling, and partners’ responses mattered: relationships in which partners responded to good news in an active and constructive way (interested, asking questions, enthusiastic) were rated as more satisfying and intimate (Gable et al. 2004). John Gottman and Nan Silver describe the creation of “shared meaning”, through rituals, shared roles, goals and symbols, as one of the principles of lasting marriages (Gottman and Silver 1999); their book is written for a general audience and draws on Gottman’s research rather than reporting new data.

In the language of Chapter 4, meaning compresses. A shared story, a private joke, a ritual or a common goal is a model that both partners hold, which makes the relationship’s core more predictable (lower surprisal) while the content of their life can stay novel (high epistemic value). Meaning is how novelty becomes structure instead of noise.

Repair: speed matters most near the edge

The third inflow is different in kind. Conflict is not a failure of a relationship; every relationship has it. What matters, the evidence suggests, is what happens next.

Evidence

In a study that followed couples for four years, John Gottman and Robert Levenson found that the balance of positive and negative behaviour during a conflict discussion predicted later separation (Gottman and Levenson 1992). Gottman reported that in stable couples, positive interactions during conflict outnumbered negative ones by about five to one (Gottman 1994), and later described “repair attempts”, any statement or action that stops negativity from escalating, as central to whether a conflict damages a relationship (Gottman 1999).

The model of Chapter 3 explains why repair matters so much, and when it matters most. Near any stable state, a system returns from a small disturbance at a rate set by the slope of its dynamics. For the equation dx/dt=μx+x3−x5dx/dt = \mu x + x^3 – x^5, that rate can be calculated exactly, and it falls as the drive approaches the tipping point.

Calculation

from math import sqrt

print("   mu     order x*   recovery rate   recovery time")
for mu in (0.20, 0.0, -0.10, -0.20, -0.24, -0.249):
    x2 = (1 + sqrt(1 + 4 * mu)) / 2          # the ordered state: x*^2
    rate = -(mu + 3 * x2 - 5 * x2 ** 2)       # minus the slope of mu*x + x^3 - x^5 at x*
    print(f"{mu:+.3f}   {sqrt(x2):8.3f}   {rate:13.3f}   {1 / rate:13.1f}")
#    mu     order x*   recovery rate   recovery time
# +0.200      1.082           3.142             0.3
# +0.000      1.000           2.000             0.5
# -0.100      0.942           1.375             0.7
# -0.200      0.851           0.647             1.5
# -0.240      0.775           0.240             4.2
# -0.249      0.729           0.067            14.9
Critical slowing down. The time the shared order needs to recover from a small upset, in the units of the model, rises steeply as the drive μ approaches the tipping point at −0.25. Far from the edge, a quarrel is over by the next morning; near it, the same quarrel lingers.

Far from the edge, the system bounces back in a fraction of a time unit. As μ\mu falls towards −0.25-0.25, recovery takes longer and longer, and at the tipping point it would take forever. This is the critical slowing down of Chapter 3, and it has been observed in human emotion.

Evidence

In a study of daily mood records, Ingrid van de Leemput and colleagues found that in the weeks before people moved into or out of depression, their emotions showed signs of critical slowing down: moods became more strongly correlated from one moment to the next and more variable, as the theory predicts for a system approaching a tipping point (Leemput et al. 2014).

Slower recovery has a dangerous consequence. If the next conflict arrives before the couple has recovered from the last, the disturbances add up. Repair, in the model, is an extra restoring force after a conflict: an apology, a touch, a joke, a conversation that brings the state back towards order faster than it would return on its own.

Calculation

Two hundred simulated couples spend five years at a drive of μ=−0.15\mu = -0.15, inside the zone of Chapter 3 where the ordered state is stable but a large enough knock can tip it over. Conflicts arrive about once a month at random and knock the shared order down by 0.10 to 0.30. The couples differ only in how strongly they repair.

import random
from math import sqrt

mu = -0.15                                   # inside the zone where order and disorder are both possible
x_hi = sqrt((1 + sqrt(1 + 4 * mu)) / 2)      # the ordered state
x_lo = sqrt((1 - sqrt(1 + 4 * mu)) / 2)      # the tipping point below it

def couple(repair, seed, days=5 * 365, dt=0.1):
    """One couple over five years. Conflicts arrive about once a month and knock x down by 0.10-0.30.
    repair = extra pull back towards x_hi after a conflict (0 = none). Returns True if the couple collapsed."""
    rng = random.Random(seed)
    x = x_hi
    for step in range(int(days / dt)):
        if rng.random() < dt / 30:
            x -= rng.uniform(0.10, 0.30)
        x += dt * (mu * x + x ** 3 - x ** 5 + repair * (x_hi - x))
        if x < x_lo:
            return True
    return False

print(f"ordered state {x_hi:.3f}, tipping point {x_lo:.3f}")
print("repair strength   couples that collapsed within 5 years (of 200)")
for repair in (0.0, 0.5, 1.0, 2.0):
    n = sum(couple(repair, seed) for seed in range(200))
    print(f"{repair:15.1f}   {n:5d}")
# ordered state 0.903, tipping point 0.429
# repair strength   couples that collapsed within 5 years (of 200)
#             0.0      86
#             0.5      11
#             1.0       3
#             2.0       0

With the same drive and the same conflicts, couples who do not repair collapse in 86 of 200 runs; modest repair cuts this to 11, and stronger repair to 3 or none. The conflicts did not change. What changed was whether they could accumulate.

Three inflows, three roles

Hypothesis · not established · Novelty, meaning and repair are not interchangeable

The three inflows act on different parts of the system. Novelty and meaning raise the drive μ\mu, moving the relationship away from its tipping point. Repair does not raise the drive; it shortens the time the state spends displaced after a disturbance, which matters most when the drive is close to the edge. The model therefore predicts:

  1. For couples near the edge, recognisable by long recovery times after small conflicts, improving repair speed should reduce the risk of collapse more than adding novelty.
  2. For couples far from the edge, adding novelty and meaning should raise desire and closeness, while faster repair should make little measurable difference.
  3. Lengthening recovery times should come before a collapse of closeness, by weeks or months.

If recovery time does not lengthen before collapses, or if repair helps couples equally regardless of how close they are to the edge, this part of the model is wrong.

The practical reading is a kind of triage. A couple who quarrel rarely and recover quickly can afford to put their effort into novelty and meaning. A couple whose small quarrels now take days to heal should put repair first: agree on how to signal “I want to stop this”, and practise returning quickly, before planning anything adventurous. The next chapter turns these ideas into four weeks of practice.

Note

Repair, as this chapter uses the word, is mutual. It is not the same as one person always giving in, which may end a quarrel quickly while making the relationship less safe. If repairing a conflict regularly means one partner suppressing fear, the right step is outside help, not faster repair.

References

Aron, Arthur, and Elaine N. Aron. 1986. Love and the Expansion of Self: Understanding Attraction and Satisfaction. New York: Hemisphere.
Aron, Arthur, Elaine N. Aron, and Danny Smollan. 1992. “Inclusion of Other in the Self Scale and the Structure of Interpersonal Closeness.” Journal of Personality and Social Psychology 63 (4): 596–612.
Aron, Arthur, Christina C. Norman, Elaine N. Aron, Colin McKenna, and Richard E. Heyman. 2000. “Couples’ Shared Participation in Novel and Arousing Activities and Experienced Relationship Quality.” Journal of Personality and Social Psychology 78 (2): 273–84.
Aron, Arthur, Meg Paris, and Elaine N. Aron. 1995. “Falling in Love: Prospective Studies of Self-Concept Change.” Journal of Personality and Social Psychology 69 (6): 1102–12.
Gable, Shelly L., Harry T. Reis, Emily A. Impett, and Evan R. Asher. 2004. “What Do You Do When Things Go Right? The Intrapersonal and Interpersonal Benefits of Sharing Positive Events.” Journal of Personality and Social Psychology 87 (2): 228–45.
Gottman, John M. 1994. What Predicts Divorce? The Relationship Between Marital Processes and Marital Outcomes. Hillsdale, NJ: Lawrence Erlbaum Associates.
———. 1999. The Marriage Clinic: A Scientifically Based Marital Therapy. New York: W. W. Norton.
Gottman, John M., and Robert W. Levenson. 1992. “Marital Processes Predictive of Later Dissolution: Behavior, Physiology, and Health.” Journal of Personality and Social Psychology 63 (2): 221–33.
Gottman, John M., and Nan Silver. 1999. The Seven Principles for Making Marriage Work. New York: Crown.
Leemput, Ingrid A. van de, Marieke Wichers, Angélique O. J. Cramer, Denny Borsboom, Francis Tuerlinckx, Peter Kuppens, Egbert H. van Nes, et al. 2014. “Critical Slowing down as Early Warning for the Onset and Termination of Depression.” Proceedings of the National Academy of Sciences 111 (1): 87–92.

Fan, Y. (2026). The Thermodynamics of Desire: Entropy, Dopamine Prediction Error and Dissipative Structures in Human Bonds [欲望的热力学] (Version 1.0.0). 5D Library. https://doi.org/10.5281/zenodo.23682498 · Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0).