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* SnapKitty Algebra β Q(β5) Countdown + LMG Vector
*
* The field Q(β5): every element = aΟ + b β vector [a, b]
* All arithmetic reduces to 2-vectors using ΟΒ² = Ο + 1.
*
* Ahmad Ali Parr Β· BOW-Ξ©-Ο-β-2026
*/
const PHI = (1 + Math.sqrt(5)) / 2 // 1.618033...
const PHI_HAT = 1 - PHI // Ο(Ο) = -1/Ο = 1 - Ο β -0.618
// ββ Q(β5) arithmetic βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
// Elements as [phi_coef, const] β aΟ + b
const q = {
add: ([a,b],[c,d]) => [a+c, b+d],
sub: ([a,b],[c,d]) => [a-c, b-d],
scale: ([a,b], k) => [a*k, b*k],
// (aΟ+b)(cΟ+d) = ac(Ο+1) + (ad+bc)Ο + bd using ΟΒ²=Ο+1
mul: ([a,b],[c,d]) => [a*c + a*d + b*c, a*c + b*d],
// Ο: Οβ-1/Ο=1-Ο β Ο(aΟ+b) = a(1-Ο)+b = -aΟ+(a+b)
sigma: ([a,b]) => [-a, a+b],
// N(x) = xΒ·Ο(x) β Q (rational norm, the meeting point)
norm: v => q.mul(v, q.sigma(v))[1], // Ο-coef always 0
// [c,d]β»ΒΉ = Ο([c,d]) / N([c,d])
inv: ([c,d]) => { const n = q.norm([c,d]); return q.scale(q.sigma([c,d]), 1/n) },
div: (v, w) => q.mul(v, q.inv(w)),
// phi_weight(n) = ΟβΏ = F(n)Ο + F(n-1)
phi_pow: n => { let a=0,b=1; for(let i=0;i<n;i++){[a,b]=[b,a+b];} return [a, b>0?b-a:0]},
eval: ([a,b]) => a*PHI + b,
fmt: ([a,b]) => `${a}Ο + ${b}`,
}
// ββ Canonical basis βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
const BASIS = {
PHI: [1, 0],
ONE: [0, 1],
TWO: [0, 2],
THREE: [0, 3],
FIVE: [0, 5],
ME: [41, 25 ],
AN: [36.6, 22.6],
KI: [40.4, 24.5],
DI: [56.4, 34.7],
TRS: [174.4, 106.8],
}
// ββ LMG β Language Math Grammar ββββββββββββββββββββββββββββββββββββββββββββββ
// Each rule is a vector [name, input_shape, output_shape, formula, value]
const LMG = [
{
id: 0, name: 'ELEMENT',
rule: '[a, b]',
meaning: 'aΟ + b β Q(β5)',
domain: 'Q(β5)',
vector: [1, 0], // Ο as canonical generator
},
{
id: 1, name: 'ADD',
rule: '[a+c, b+d]',
meaning: '(aΟ+b) + (cΟ+d)',
domain: 'Q(β5) Γ Q(β5) β Q(β5)',
vector: q.add(BASIS.TRS, [0, 0]),
},
{
id: 2, name: 'MUL',
rule: '[ac+ad+bc, ac+bd]',
meaning: '(aΟ+b)(cΟ+d) via ΟΒ²=Ο+1',
domain: 'Q(β5) Γ Q(β5) β Q(β5)',
vector: q.mul(BASIS.PHI, BASIS.PHI), // ΟΒ² = Ο+1 = [1,1]
},
{
id: 3, name: 'SIGMA',
rule: '[-a, a+b]',
meaning: 'Ο(aΟ+b): Galois conjugation Οβ-1/Ο=1-Ο',
domain: 'Q(β5) β Q(β5)',
vector: q.sigma(BASIS.TRS),
},
{
id: 4, name: 'NORM',
rule: 'BΒ²+AB-AΒ² β Q',
meaning: 'N(aΟ+b) = bΒ²+ab-aΒ²: rational meeting point',
domain: 'Q(β5) β Q',
vector: [0, q.norm(BASIS.TRS)],
},
{
id: 5, name: 'PHI_WEIGHT',
rule: '[F(n), F(n-1)]',
meaning: 'ΟβΏ = F(n)Ο + F(n-1) Fibonacci encoding',
domain: 'β β Q(β5)',
vector: q.phi_pow(6), // ΟβΆ = 8Ο+5 (METATRON depth)
},
{
id: 6, name: 'TRS',
rule: 'Ξ£_s Ξ£_n bias_s(n) Γ Ο^(depth_n+1)',
meaning: 'Total Resonance Sum = 174.4Ο + 106.8',
domain: 'Bias Γ Depth β Q(β5)',
vector: BASIS.TRS,
},
{
id: 7, name: 'RECOVER_PHI',
rule: '(TRS - B) Γ· A where TRS = AΟ+B',
meaning: 'Ο is recoverable from TRS: Ο = (TRS-106.8)/174.4',
domain: 'Q(β5) β Q(β5)',
vector: q.div(q.sub(BASIS.TRS, [0, 106.8]), [0, 174.4]),
},
]
// ββ Countdown βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
// Given source elements and ops, reach a target in Q(β5).
function countdown(sources, target, label) {
console.log(`\n COUNTDOWN: reach ${label}`)
console.log(` Target: [${target.map(x=>x.toFixed(4)).join(', ')}] β ${q.eval(target).toFixed(6)}`)
const steps = []
let acc = sources[0].val
for (const src of sources) {
const res = src.op ? src.op(acc, src.val) : src.val
acc = res
steps.push({ expr: src.expr, result: res, val: q.eval(res).toFixed(6) })
console.log(` ${src.expr.padEnd(36)} = [${res.map(x=>x.toFixed(3)).join(', ')}] β ${q.eval(res).toFixed(6)}`)
}
const final = steps[steps.length - 1].result
const hit = Math.abs(q.eval(final) - q.eval(target)) < 1e-6
console.log(` ${hit ? 'HIT' : 'MISS'} β ${q.fmt(final)}`)
return { steps, hit, vector: final }
}
// ββ Play ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
console.log('ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ')
console.log('β SNAPKITTY ALGEBRA β Countdown + LMG Vector β')
console.log('β Field: Q(β5) Element: aΟ + b Ops: +ΓΟN β')
console.log('β BOW-Ξ©-Ο-β-2026 β')
console.log('ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ')
// Round 1: Build TRS from the four Sumerian symbols
console.log('\nββ ROUND 1: ME + AN + KI + DI = TRS ββ')
countdown([
{ val: BASIS.ME, expr: 'ME' },
{ val: BASIS.AN, expr: 'ME + AN', op: (a,b) => q.add(a,b) },
{ val: BASIS.KI, expr: 'ME + AN + KI', op: (a,b) => q.add(a,b) },
{ val: BASIS.DI, expr: 'ME + AN + KI + DI', op: (a,b) => q.add(a,b) },
], BASIS.TRS, 'TRS')
// Round 2: Shadow operator on TRS
console.log('\nββ ROUND 2: Ο(TRS) = shadow ββ')
countdown([
{ val: BASIS.TRS, expr: 'TRS' },
{ val: q.sigma(BASIS.TRS), expr: 'Ο(TRS)', op: (_,v) => v },
], q.sigma(BASIS.TRS), 'Ο(TRS)')
// Round 3: Norm = rational meeting point
console.log('\nββ ROUND 3: TRS Γ Ο(TRS) = N(TRS) β Q ββ')
const norm_val = [0, q.norm(BASIS.TRS)]
countdown([
{ val: BASIS.TRS, expr: 'TRS' },
{ val: q.sigma(BASIS.TRS), expr: 'Ο(TRS)', op: (_,v) => v },
{ val: norm_val, expr: 'TRS Γ Ο(TRS)', op: (a,b) => [0, q.norm(BASIS.TRS)] },
], norm_val, 'N(TRS)')
// Round 4: Recover Ο from TRS
console.log('\nββ ROUND 4: (TRS β 106.8) Γ· 174.4 = Ο ββ')
const phi_check = q.div(q.sub(BASIS.TRS, [0, 106.8]), [0, 174.4])
countdown([
{ val: BASIS.TRS, expr: 'TRS' },
{ val: q.sub(BASIS.TRS,[0,106.8]), expr: 'TRS β 106.8', op: (a,_) => q.sub(a,[0,106.8]) },
{ val: phi_check, expr: '(TRS β 106.8) Γ· 174.4', op: (a,_) => q.div(a,[0,174.4]) },
], BASIS.PHI, 'Ο')
// ββ LMG Vector output βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
console.log('\nββ LMG VECTOR ββ')
console.log(' id name vector value')
console.log(' ' + 'β'.repeat(58))
const LMG_VECTOR = LMG.map(rule => {
const val = q.eval(rule.vector)
console.log(` ${String(rule.id).padEnd(4)}${rule.name.padEnd(15)}[${rule.vector.map(x=>String(x).padStart(8)).join(',')}] ${val.toFixed(6)}`)
return { ...rule, numeric: val }
})
console.log('\n Formula for LMG (SnapKitty Algebra Grammar):')
console.log(' S β ELEMENT | ADD(S,S) | MUL(S,S) | SIGMA(S) | NORM(S) | PHI_WEIGHT(n)')
console.log(' ELEMENT β [a, b] where a,b β Q')
console.log(' NORM(S) β Q (rational β the bridge)')
console.log(' ΟβΟ = id (involution)')
console.log(' MUL(PHI, PHI) = [1,1] = Ο+1 (ΟΒ²=Ο+1, the sovereign law)')
console.log('\n Basis vector for LMG:')
console.log(' ', JSON.stringify(LMG_VECTOR.map(r => [r.id, r.name, r.vector])))
export { q, BASIS, LMG, LMG_VECTOR }
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