Economic Model

I. Block Rewards

We adopt a Logarithmic Decay Algorithm based on issuance ratio (LSED model).

The core logic is based on the formula log2(1 / (1 - ratio)), and the emission decay presents a 1/2ⁿ pattern.

1. Mathematical Expression of the Decay Algorithm

  • R is the current total issuance (total_issuance)

  • S is the total supply (total_supply) = 21,000,000 HETU

  • E₀ is the default block reward: 1 HETU/block

  • r = R / S is the current issuance ratio (0 ≤ r < 1)

  • E(r) is the current actual reward

Then:

E(r)=E0×12log2(11r)E(r) = E_0 \times \frac{1}{2^{\lfloor \log_2 \left( \frac{1}{1-r} \right) \rfloor}}
  • If r ≥ 1, E(r) = 0

2. Trigger Points of Each Decay Cycle

Halving Cycle
r (Issuance Ratio)
Block Reward (HETU)

0

0% ~ 50%

1

1

50% ~ 75%

0.5

2

75% ~ 87.5%

0.25

3

87.5% ~ 93.75%

0.125

4

93.75% ~ 96.875%

0.0625

5

96.875% ~ 98.4375%

0.03125

6

98.4375% ~ 99.21875%

0.015625

...

...

...

3. Cycle Schedule Calculated Based on 12-Second Blocks

  • Total supply: 21,000,000 HETU

  • Initial reward per block: 1 HETU

  • Block generation speed: 12 seconds/block ≈ 5 blocks/minute

We estimate the duration based on the amount of HETU that can be released in each stage:

Decay Cycle
Block Reward (HETU)
Ratio Range
Stage Supply (HETU)
Time (Years)
Block Height Range

0

1

0% ~ 50%

10,500,000

~4

0 ~ 10.5M

1

0.5

50% ~ 75%

5,250,000

~4

10.5M ~ 15.75M

2

0.25

75% ~ 87.5%

2,625,000

~4

15.75M ~ 18.375M

3

0.125

87.5% ~ 93.75%

1,312,500

~4

...

...

...

...

...

~4

...

4. Reward Decay Curve (Issuance Ratio vs. Block Reward)

(Exponential decay graph with issuance ratio on the horizontal axis and block reward on the vertical axis)

Reward Decay Curve
  • Horizontal axis: proportion of total issuance (0% to 100%)

  • Vertical axis: block reward (unit: HETU)

  • The reward decreases exponentially, and a halving is triggered whenever the issuance ratio reaches 1 - 1/2ⁿ

5. Release Model Curve

Release Model Curve

II. Block Reward Allocation

1. Introduction to Block Rewards

  • Stakework rewards (subnet rewards)

  • Main network rewards

    • Community (community pool): 2%

    • Validator (commission): 5%

    • Validator (validator rewards, allocated according to weight and delegation): 93%

Block Reward Allocation

2. Introduction to Subnet Rewards

(1) Algorithm Introduction

Logarithmic Subnet Incentive (LSI) "logarithmic" subnet reward mechanism

Calculation formula:

subnet_reward_ratio = min( max_ratio, base + k * log(1 + subnet_count) )

Where:

  • base: Initial subnet reward ratio (e.g., 0.10)

  • k: Growth rate coefficient (e.g., 0.16)

  • max_ratio: Maximum subnet reward ratio (e.g., 0.9)

(2) Calculation Process

subnet_count
subnet_reward_ratio

0

0

1

0.1109035489

2

0.1757779662

3

0.2218070978

4

0.257510066

5

0.2866815151

6

0.3113456238

7

0.3327106467

8

0.3515559324

9

0.3684136149

10

0.3836632436

(3) Subnet Reward Growth Curve Chart:

Subnet Reward Growth Curve
  • As the number of subnets increases, the reward ratio gradually increases.

  • The growth rate is controlled by the parameter k.

  • The reward ratio is limited by the maximum value of max_ratio = 0.9, and it will not increase after reaching the upper limit.

Explanation:

  1. Initial stage (number of subnets < 50)

    • The ratio starts from base=0.10 and grows slowly with log(1+subnet_count).

    • For example:

      • 1 subnet: 0.10 + 0.1*log(2) ≈ 0.17

      • 10 subnets: 0.10 + 0.1*log(11) ≈ 0.34

  2. Rapid growth stage (50 ≤ number of subnets < 300)

    • The logarithmic function enters a significant growth interval, and the ratio rises rapidly.

    • For example:

      • 100 subnets: 0.10 + 0.1*log(101) ≈ 0.56

      • 200 subnets: 0.10 + 0.1*log(201) ≈ 0.66

  3. Saturation stage (number of subnets ≥ 300)

    • When the ratio is close to max_ratio=0.9, the formula triggers the min() function to limit growth.

    • Calculation of the turning point:

      0.10 + 0.1*log(1+x) = 0.9log(1+x)=8x≈e⁸≈2981

      Actually, due to the limitation of calculation accuracy, it is close to the upper limit when x≈300 in the figure.

    • After that, the ratio remains unchanged at 0.9 (horizontal line).

3. Incentive Sharing Curve Chart

Incentive Sharing Curve

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