Define zeta‑based functions as symmetric combinations of ζ
Graphics zeros zsinh (green), zcosh (blue), t = 0
Graphics subtract zeros zsinh (green), zcosh (blue), t = 0
The zeros of zsinh(z, t) lie where Im(ζ(z + t))
The zeros of zcosh(z, t) lie where Re(ζ(z + t))
The zeros of f(x) lie where Im(ζ(iz) * ζ(-iz))
Hypothesis: The roots of the zeta-cosine function consistently become greater than the roots of the zeta-sine function. Does this always hold true for t<1/2? For t=1/2, this rule is violated.
A possible reason for the alternation of zeros: the phase of arg(ζ(it)) changes almost monotonically, its derivative ~= −ln(t/2pi) plus limited fluctuations, and with increasing t, the logarithm suppresses the fluctuations more and more. The zeros of Re (phase ≡ pi/2 mod pi) and the zeros of Im (phase ≡ 0 mod pi) must strictly alternate with a monotonic phase.
for (let i = 1; i < 30001; i++) {
console.log(zsinh_zeros[i] < zcosh_zeros[i]); // 30k all true except first (t < 1/2)
}t = 1/2 - 0.00001
3.4362140094042727618286113340360934506738787548597
0.81955124399808421306572241644739516686114223957193
9.6669102627117306193907187588664936887949596215645
14.134662337801231264783053269158275738710128737448
14.134726733724055751480138987456071685484173664554
14.517983356066677772850986295374471471504560789106
17.845599703811184951957455484942204619177185074612
20.653999217749134085058454969275268894937808726164
21.02203739654834299714967714165155496392643807671
21.022084231457519055805725702330275768340332172454
23.170282111202890685442669367056156070470219974683
25.010828789004412269219485233798903561212641473613
25.010861053186551215744803766770051137486731602211
25.491538678213580294714236283761598679995916554608
27.670182561361602782851655303702441139160483133524
29.73849079144066595737146108224554545677766612479
30.424870166682584655140590167156737977280411006862
30.424892906016094362582098054973313769120166261422
31.717979610591542422557982339162944429686986670321
32.935046125421386611939970592960966749639178172335
32.935068054817277516882556456005962651681505304866
33.623811361978644055405727771675330758287407611779
35.467183845236152462050553677145271567623651763461
37.256707430406954377867175959115064714845313075613
37.58617513205913039355349678786077986646323345893
37.586211193540447475725879238644740485553842623415
38.999211750755936474251225763996381489068026232462
40.699954330943242482880179099883335971831730455691
40.918716937025009960905850723200193925507298193954
40.918767190672526549033451184587165342387577520953
42.363547225073666641078295652543590243704687852681
43.327060016392470396194201535206695150214060963441
43.327080819506881636510075116474719722187763198857
43.993543569869915147558964285592053160826471283816
See graphics on https://asyncker.github.io/zeta-trigonometry/index.html
define h-function:
h(z, w) = ln(z^(-w/2)) = w/2 * ln(1/z) = -w * ln(sqrt(z)) = -w/2 * ln(z)
Lambert W/Boltzmann's entropy connection:
h(z, -4) = -4/2 * ln(1/z)
h₄ = h(2, 4) it's supersymmetry value
h(2, 4) = 2 * ln(1/2) = -4 * ln(sqrt(2)) = ln(1/4) = -2 * ln(2)
ζ((z^2) ^ (1/2)) + c (c = h(2, 4) = ln(1/4))

ζ((z^2) ^ (1/2)) + c (c = h(2, 4) = ln(1/4))
zeta function
zeta(z) = pow(2pi, z - 1) * sin(z * pi/2) * 2 * gamma(-z + 1) * zeta(-z + 1)
zeta function if use exp and gamma
phase = i*pi/2
zeta(z) = exp((z - 1) * ln(2pi)) * exp(-phase) * (exp(z * phase) - exp(-z * phase)) * gamma(1 - z) * zeta(1 - z)
sin(z * pi/2) * 2
amplitude: +2, -2
inter: ...-2, +2, −2, +2, -2, +2...
zeros: ...-6, -4, -2, 0, +2, +4, +6...
test coff:
(4 * pi^2) ^ (s - 1) * zeta(s)
define mpow:
mpow(z, w) = |z|^w * exp(i * arg(z) * ((1 - exp(i * pi * w)) / 2))
define dot, dotlog, dotpow:
dot(z, w) = z * w̄
dotlog(z, w, k) = log(z * w̄) * k
dotpow(z, w, k) = exp(log(z * w̄) * k)
|z| = dotpow(z, z, 1/2)
|z|^2 = dotpow(z, z, 1)
|z|^(1/2) = dotpow(z, z, 1/4)
1 / |z| = dotpow(z, z, -1/2)
1 / |z|^2 = dotpow(z, z, -1)
1 / |z|^(1/2) = dotpow(z, z, -1/4)
log(|z|) = dotlog(z, z, 1/2)
log(|z|^2) = dotlog(z, z, 1)
log(|z|^(1/2)) = dotlog(z, z, 1/4)
log(1 / |z|) = dotlog(z, z, -1/2)
log(1 / |z|^2) = dotlog(z, z, -1)
log(1 / |z|^(1/2)) = dotlog(z, z, -1/4)
(re(z)^2)^0.5 + (im(z)^2)^0.5*i = |re(z)| + |im(z)|*i
roots(z^2, 2)= +-z
roots(z̄^2, 2) = +-z̄
define fold
fold(z, k) = (z ^ k) ^ 1/k
folds(z, k) = roots(z ^ k, k)
folds(z, 2) = +-z
Non-Newton with Multiplicative calculus
If we take the derivative of zsinh using exp, then the function becomes non-closed. The question is, what will the exp derivative tend to if we take it an infinite number of times from zsinh?
12-adic numbers
Non-Archimedean + Hyperreal + p-adic + Laurent Ring
w^-1 = eps
eps^-1 = w
w * eps = 1
eps and w is the solution of the equation: 1 - eps = 0.999999...
(x - 1) * 1/x = 1 - eps
x = w
7 / x^2 = eps
x1 = +w * (7 * w) ^ (1/2)
x2 = -w * (7 * w) ^ (1/2)
define Φ₆ complex:
Φ₆(z, s) = (z^s - 1) * z^s + 1
Φ₆(z, s) = z^(2s) - z^(1s) + 1
Φ₆(10, 2) = 9901
Φ₆(10, 4) = 99990001
Φ₆(10, 6) = 999999000001
Φ₆(10, 8) = 9999999900000001
33333333333333336666666666666667 = 7 * 13 * 37 * 9901 * 99990001 * 9999999900000001
A test to determine whether a number is always composite as n approaches infinity. If possible, determine after what n there will never be any more prime numbers. Ideally, consider n tending to +∞
ptlim(10^n) = 0 (n ≥ 0) | ∅
ptlim(2n + 1) = {0, 1} | {1, 2, 3, 5, 6, 8, 9, 11, 14, 15, 18, 20...}
ptlim(10^n + 7) = {0, 1} | {1, 2, 4, 8, 9, 24, 60, 110, 134, 222, 412...}
ptlim(10^(2n) - 10^(1n) + 1) = 0 (n > 8) | {2, 4, 6, 8}
ln(eps) = -ln(w)
ln(w) = -ln(eps)
ln(w^eps) = -eps * ln(eps)
ln(eps^w) = -w * ln(w)
ln(eps^eps) = -eps * ln(w)
ln(w^w) = -w * ln(eps)
ln(eps * w) = 0
ln(w) / ln(eps) = -1
roots(eps^2, 2) = +-eps
roots(w^2, 2) = +-w
ln(eps^2 + eps^2) * k = ln(2)*k + ln(eps) * 2k
(eps^2 + eps^2) ^ k = 2^k * eps^(2k)
a = 2^n * 5^m (all non-periodic fractions for the 10-adic)
(w - 1) * w + 1 = 999999... 000000... 001.0
3 * 0.333 + 0.001 = 1.0
3 * 0.333333... + eps = 1.0
(w - 1) * 1/w = 0.999999...
(1 - eps) * 1/eps = 999999... 999.000000...
999999... + 0.999999... = 999999... 999.999999...
Scale plane (x-asis it's mult y-asis it's power (example x * eps^y)):
The x-axis is the multiplied coefficient for eps or w


