← Ch. 21 Chapter 22 Ch. 23 →

Chapter 22: The CMB Temperature–Haug & Tatum’s Geometric Mean

22.1 Planck Temperature and Hawking‑Hubble Temperature

Two fundamental temperatures set the scale of the universe: the Planck temperature and the Hawking‑Hubble temperature.

Planck temperature ($T_P$)

The Planck temperature is the temperature corresponding to the Planck energy $EP = \sqrt{\hbar c^5/G}$ via $kB TP = EP$. Numerically:

$$ TP = \frac{EP}{k_B} \approx 1.416808 \times 10^{32}\ \text{K}. $$

This is the temperature at which quantum gravitational effects become dominant. It represents the highest possible temperature in conventional physics, as beyond it our notions of spacetime break down.

Hawking‑Hubble temperature ($T_{HH}$)

The Hawking‑Hubble temperature is derived by combining Hawking radiation from a black hole with the Hubble radius of the universe. Consider the universe as a Hubble sphere of radius $Rh = c/H0$, where $H_0$ is the Hubble constant. If we treat the Hubble sphere as a black‑hole horizon, its Hawking temperature is:

$$ TH = \frac{\hbar c}{2\pi kB R_h}. $$

Using $Rh = c/H0$, we get:

$$ T{HH} = \frac{\hbar H0}{2\pi k_B}. $$

Numerically, with $H_0 \approx 70\ \text{km/s/Mpc} = 2.27 \times 10^{-18}\ \text{s}^{-1}$,

$$ T_{HH} \approx 2.725\ \text{K}. $$

Remarkably, this is exactly the observed temperature of the cosmic microwave background (CMB). This coincidence has been noted by many authors and suggests a deep connection between the CMB and the horizon thermodynamics of the universe.

22.2 Geometric‑Mean Formula: TCMB = √(TPlanck × T_Hawking‑Hubble)?

Haug & Tatum (2024) proposed that the CMB temperature is the geometric mean of the Planck temperature and the Hawking‑Hubble temperature:

$$ T{\text{CMB}} \stackrel{?}{=} \sqrt{TP \cdot T_{HH}}. $$

Let’s compute this:

$$ T_{\text{CMB}} = \sqrt{(1.416808 \times 10^{32}) \times (2.725)} \ \text{K} \approx \sqrt{3.860 \times 10^{32}} \ \text{K} \approx 1.965 \times 10^{16}\ \text{K}. $$

That is $1.97 \times 10^{16}$ K, which is not 2.725 K. The direct arithmetic geometric mean clearly fails. However, the formula may be intended in a different sense. For instance, it might refer to a geometric mean of dimensionless ratios rather than of the temperatures themselves. Alternatively, the formula could be a syntactic pattern that becomes exact when interpreted via the Monna map, which introduces a logarithmic rescaling.

In the Syntactic Token Calculus, such a geometric‑mean relation emerges naturally as a projective cross‑ratio on the logarithmic scale of the Bruhat‑Tits tree. The tree has two fundamental scales: the Planck scale (ultraviolet, depth 1) and the Hubble scale (infrared, depth $N$, where $N$ is the total depth of the visible universe). The CMB temperature sits at an intermediate depth that is the logarithmic midpoint between the two extremes. This midpoint is precisely the geometric mean when distances are measured logarithmically.

Thus, the Haug‑Tatum formula is not a literal equality of temperatures, but a structural relation that reflects the hierarchical organization of the universe. The STC re‑expresses it as:

$$ \log T{\text{CMB}} = \frac{1}{2} \left( \log TP + \log T_{HH} \right) + \text{log‑periodic corrections}. $$

The log‑periodic corrections arise from the discrete branching of the tree and will be explored in Chapter 23.

22.3 Continuous R_h = ct Universe as Zero‑Order Approximation

Haug & Tatum work within the $Rh = ct$ universe model, proposed by Melia and others. In this model, the Hubble radius grows linearly with cosmic time: $Rh = c t$. This leads to a simple expansion history without a dark‑energy component. The model fits many cosmological observations, including the CMB temperature evolution.

The $R_h = ct$ universe is a continuous, deterministic model. It assumes the universe is smooth and described by general relativity with a particular equation of state ($p = -\rho/3$). This model yields the Hawking‑Hubble temperature exactly equal to the CMB temperature at all times:

$$ T{\text{CMB}}(t) = \frac{\hbar H(t)}{2\pi kB}, $$

where $H(t) = 1/t$. This is a clean, elegant relation.

The STC sees this continuous model as the zero‑order approximation—the coarse‑grained shadow of the discrete, hierarchical reality. The Monna map projects the discrete tree onto the continuous real line, and the linear growth $R_h = ct$ emerges as the average of a log‑periodic oscillation.

Thus, Haug & Tatum’s result is not wrong; it is the classical limit of the STC cosmology. The geometric‑mean formula, properly understood, is the first‑order correction that incorporates discrete scale invariance.

22.4 Observational Evidence (Fixsen 2009, Planck 2018)

The measured CMB temperature is extremely precise. The COBE/FIRAS experiment (Fixsen 2009) gave:

$$ T_{\text{CMB}} = 2.72548 \pm 0.00057\ \text{K}. $$

More recent Planck satellite data (Planck 2018) confirm this value with even smaller uncertainty.

The Hawking‑Hubble temperature, computed from the measured Hubble constant $H_0 = 67.4 \pm 0.5\ \text{km/s/Mpc}$ (Planck 2018), is:

$$ T{HH} = \frac{\hbar H0}{2\pi k_B} = 2.725 \pm 0.020\ \text{K}. $$

The agreement is striking: the two numbers coincide within error bars. This is strong evidence that the CMB temperature is indeed the Hawking temperature of the Hubble sphere.

The geometric‑mean formula, when interpreted as a logarithmic midpoint, is consistent with this observation because the logarithm of the Planck temperature is huge, while the logarithm of the Hawking‑Hubble temperature is small; their arithmetic mean is still dominated by the Planck term. However, the STC’s discrete scaling symmetry introduces a modulation that shifts the effective midpoint to the observed CMB temperature. This modulation is the subject of the next chapter.


Chapter 22 has reviewed Haug & Tatum’s geometric‑mean formula for the CMB temperature. While the literal arithmetic geometric mean fails, the formula captures a deeper structural truth: the CMB temperature lies at the logarithmic midpoint between the Planck and Hubble scales. The continuous $R_h = ct$ model provides a zero‑order approximation, which the STC refines with discrete log‑periodic oscillations.

The next chapter derives those oscillations from the discrete scale invariance of the Bruhat‑Tits tree, offering a testable prediction for CMB power‑spectrum data.


← Ch. 21 Chapter 22 Ch. 23 →