# Calculator-Plain Math: The Entire Research Stack Every equation in this project reducible to `+ - * / ^ log`. No calculus. No linear algebra. Just arithmetic. --- ## 1. Nibble Switch (GCCL Core) **What it is:** A 4-bit transition atom. **Calculator steps:** Given `control` (0-3) and `domain` (0-3): ``` nibble = control * 4 + domain Example: control=1 (ACCEPT), domain=2 (M_TENSION) nibble = 1 * 4 + 2 = 6 ``` **Unpack:** ``` control = floor(nibble / 4) domain = nibble mod 4 Example: nibble = 6 control = floor(6 / 4) = 1 domain = 6 mod 4 = 2 ``` **That's it. No algebra. Just `* / mod`.** --- ## 2. Manifold State Point **What it is:** A point on the machine's map. **Calculator steps:** ``` new_locus = old_locus + delta delta depends on domain: K_AXIS → delta = +1 C_WINDING → delta = +256 M_TENSION → delta = +65536 Y_BREAK → delta = -1 If polarity is negative, flip the sign. Example: locus = 100, domain = K_AXIS, polarity = positive new_locus = 100 + 1 = 101 ``` **Curvature update (exponential moving average):** ``` new_curvature = 0.7 * old_curvature + 0.3 * target target = 1.0 if control == ACCEPT 0.0 otherwise Example: curvature = 0.5, control = ACCEPT new_curvature = 0.7 * 0.5 + 0.3 * 1.0 = 0.35 + 0.30 = 0.65 ``` **Register:** ``` new_register = nibble (the packed value, 0-15) ``` --- ## 3. English Invariant Fingerprint **What it is:** Reduce a sentence to its grammatical skeleton. **Calculator steps (per word):** 1. Check if word is in a lookup table (DET, PRON, PREP, etc.) 2. If not, check suffix: - ends with "ing" → VBG - ends with "ed" → VBN - ends with "ly" → ADV - ends with "tion" → NOUN - ends with "able" → ADJ 3. If no match and length ≤ 3 → SHORT 4. Otherwise → LEX **Example:** ``` "The cat sat on the mat" The → DET cat → LEX (not in tables, no special suffix) sat → SHORT (3 letters) or VBN (ends with 't', not 'ed') on → PREP (in table) the → DET mat → SHORT (3 letters) Fingerprint: DET LEX SHORT PREP DET SHORT ``` **No math. Just string matching.** --- ## 4. Shannon Entropy **What it is:** How unpredictable the language is. **Calculator steps:** Given a list of counts (how many times each form appears): ``` Step 1: total = sum of all counts Step 2: For each count: p = count / total contribution = -p * log2(p) Step 3: entropy = sum of all contributions ``` **Example:** ``` Forms: A=100, B=50, C=50 total = 100 + 50 + 50 = 200 For A: p = 100/200 = 0.5 -0.5 * log2(0.5) = -0.5 * (-1) = 0.5 For B: p = 50/200 = 0.25 -0.25 * log2(0.25) = -0.25 * (-2) = 0.5 For C: p = 50/200 = 0.25 -0.25 * log2(0.25) = 0.5 entropy = 0.5 + 0.5 + 0.5 = 1.5 bits ``` **You need: `+ / * log2`. That's it.** --- ## 5. Power-Law (Zipf) Fit **What it is:** Word frequency follows `count * rank ≈ constant`. **Calculator steps:** Given ranks (1, 2, 3, ...) and counts sorted descending: ``` alpha = 1 + N / sum(log(rank/count) for each item) ``` **Example:** ``` rank 1: count = 200 → log(1/200) = log(0.005) = -7.64 rank 2: count = 100 → log(2/100) = log(0.02) = -5.52 rank 3: count = 50 → log(3/50) = log(0.06) = -4.12 sum = -7.64 + (-5.52) + (-4.12) = -17.28 N = 3 alpha = 1 + 3 / (-17.28) = 1 - 0.174 = 0.826 ``` **You need: `log + /`.** --- ## 6. Hutter Prize Score **What it is:** How good the compression is. **Calculator steps:** ``` C = (0.4 * C_comp + 0.35 * C_phys + 0.25 * C_geom) * (S / (G + F)) ``` **Each component:** ``` C_comp = original_size / compressed_size (compression ratio) C_phys = log2(number_of_unique_words + 1) C_geom = (top_form_count) / (total_forms) S = spatial_locality (constant, e.g. 0.95) G = decoder_size_in_MB F = replay_overhead (constant, e.g. 0.4) ``` **Example:** ``` original = 1000 bytes compressed = 100 bytes decoder = 10 MB C_comp = 1000 / 100 = 10.0 C_phys = log2(5000 + 1) = log2(5001) = 12.29 C_geom = 44679 / 152158 = 0.293 S = 0.95 G = 10 F = 0.4 C = (0.4 * 10.0 + 0.35 * 12.29 + 0.25 * 0.293) * (0.95 / (10 + 0.4)) = (4.0 + 4.30 + 0.073) * (0.95 / 10.4) = 8.373 * 0.0913 = 0.764 ``` **You need: `+ * / log2`.** --- ## 7. Grand Compression Equation **What it is:** The optimal compressor minimizes this. **Calculator steps:** ``` Score = H + λ*|C| + μ*K + ν*dim H = Shannon entropy (from §4) |C| = size of the compressor in bytes K = log2(|C| + 1) (simplified Kolmogorov) dim = number of unique forms / total sentences ``` **Example:** ``` H = 17.05 bits/form |C| = 10000 bytes K = log2(10001) = 13.29 dim = 151232 / 180189 = 0.839 λ = 0.001, μ = 0.01, ν = 1.0 Score = 17.05 + 0.001*10000 + 0.01*13.29 + 1.0*0.839 = 17.05 + 10.0 + 0.133 + 0.839 = 28.022 ``` **You need: `+ * / log2`.** --- ## 8. Betti Numbers (Topological Invariants) **What it is:** Count holes in the state trajectory. **Calculator steps:** ``` β₀ = number of connected parts = 1 (always 1 for single trajectory) β₁ = number of loops A loop = trajectory revisits a previous point χ (Euler) = V - E + F V = number of unique points E = number of edges (transitions) = len(trajectory) - 1 F = β₁ (simplified) ``` **Example:** ``` trajectory: A → B → C → B → D V = 4 (A, B, C, D) E = 4 (AB, BC, CB, BD) β₁ = 1 (B visited twice, forming loop B→C→B) χ = 4 - 4 + 1 = 1 ``` **You need: `+ -` only.** --- ## 9. Unified Hardware Surface **What it is:** Add up all compute units. **Calculator steps:** ``` total_compute = CPU_cores + (if has_GPU then 1024 else 0) memory_tiers: RAM_max = available_RAM * 0.5 VRAM_max = available_VRAM * 0.7 ``` **Example (this machine):** ``` CPU = 12 cores GPU = yes (RTX 4070 SUPER) total = 12 + 1024 = 1036 compute units RAM = 17.2 GB available → 8.6 GB managed VRAM = 11.8 GB → 8.3 GB managed ``` **You need: `+ *`.** --- ## 10. Cache Statistics **What it is:** Hit rate and size. **Calculator steps:** ``` hit_rate = hits / (hits + misses) * 100 Example: hits = 161,154 misses = 3,523 hit_rate = 161154 / (161154 + 3523) * 100 = 161154 / 164677 * 100 = 97.9% ``` **You need: `+ / *`.** --- ## Summary Table | Concept | Operations Needed | Difficulty | |---|---|---| | Nibble Switch | `* + mod /` | Elementary | | Manifold Point | `+ *` | Elementary | | Fingerprint | String lookup | Elementary | | Shannon Entropy | `+ / * log` | High school | | Power-Law Fit | `+ / log` | High school | | Hutter Score | `+ * / log` | High school | | Grand Equation | `+ * / log` | High school | | Betti Numbers | `+ -` | Elementary | | Hardware Surface | `+ *` | Elementary | | Cache Stats | `+ / *` | Elementary | **Every equation in this project uses only `+ - * / ^ log`.** **No calculus required. No matrices. Just arithmetic.** A high school student with a scientific calculator could verify every number.