uni🌱topos ≈ (Obj, Morph, Ωᵤ)
- [ ] able to draw
knots
,cat
,peirce
,prf-tree
,graph
,coordinate
,fable
,storyboard
,cobordism
,topological-drawing
seed🌱
cultivating seeds!
a garden of love
🌺 Une jardin d'amour mathématique, en effet! 🌱🌀💞
∧ et ∨ s’enlacent,
Les ensembles s’embrassent doux—
Fleur logique pousse.
I think these tables look really cool! 🌿
🌱 Seed | Core Form | Meaning / Conceptual Core | |
---|---|---|---|
fdn🌱 |
(⟶, Ω, {}) |
morphisms, logic, emptiness — foundations | |
disc🌱 |
(X, ≡, Sₙ) |
sets, equivalence, symmetry — discrete structure | |
calc🌱 |
(ℝ, d/dx, ∫) |
real line, change, accumulation — calculus | |
lina🌱 |
(V, +, ⋅) |
vector spaces, operations — linear algebra | |
top🌱 |
(X, 𝒪, f) |
open sets, topologies, continuous maps | |
ana🌱 |
(ℝⁿ, →, lim) |
limits, sequences, convergence — analysis | |
geo🌱 |
(P, ⟂, ∥≠) |
parallel postulate negation — non-Euclidean geom | |
game🌱 |
(G, ⊢, ♟) |
strategic moves, states, winning logic | |
dyn🌱 |
(f : X ⟶ X, ∘, fix) |
iteration, dynamics, feedback maps | |
stat🌱 |
(D, ℙ, μ±σ) |
data, probability, distributions | |
prog🌱 |
(Σ, λ, ∘) |
symbols, functions, composition — programming | |
ml🌱 |
(ℝⁿ, ∇, loss) |
gradient flow, optimisation, prediction | |
crt🌱 |
(ℤₙ, ≡, mod) |
congruence classes — modular systems | |
ska🎷 |
(ℤ₄, perm, sync) |
rhythm cycles, permutations, syncopation | |
jazz🌱 |
(𝕂, improv⟶, sync) 🎷 |
expression, structure, freedom | |
🌱 Seed | Core Form | Meaning (Math Essence) |
---|---|---|
calc🌱 |
(ℝ, d/dx, ∫) |
real numbers, derivatives, integrals |
lina🌱 |
(V, +, ⋅, T) |
vector spaces, operations, transformations |
disc🌱 |
(X, ≡, ∧, ∨, ¬) |
sets, logic, equivalence, boolean structure |
topo🌱 |
(𝒪_X, ∈, ∩, ∪) |
open sets, continuity, neighbourhoods |
nonE🌱 |
(ℍ², d, Iso) |
hyperbolic space, distance, isometries |
ana🌱 |
(f:ℝ→ℝ, lim, ε-δ) |
limits, functions, analysis rigor |
iter🌱 |
(f: X→X, fⁿ, limₙ→∞ fⁿ(x)) |
dynamical systems, fixed points |
game🌱 |
(G = (P, M, u), ⋆, ↺) |
players, moves, payoffs, strategies, recursion |
stat🌱 |
(X̄, σ², P(X ∈ A)) |
mean, variance, probability measures |
ml🌱 |
(ℝⁿ, ∇L, argmin L) |
data, gradients, optimization in ML |
prog🌱 |
(Σ, →, loop) |
states, transitions, iteration in programming |
Morphism | Meaning (Categorical vibe) | Visual / Physical Analogy |
---|---|---|
f : A → B |
transformation from A to B | river flowing to lake |
π : X × Y → X |
projection | shadow on a wall |
g ∘ f |
composition | gear system transferring motion |
lim(xₙ) |
convergence morphism | zooming into stability |
T: V → V |
linear transformation | rotating/stretching vector |
∇L(x) |
gradient descent direction | hiking downhill 🏞️ |
fⁿ(x) |
iteration | bouncing ball 🏀 |
ψ: ℍ² → ℍ² |
isometry | turning a sphere without deforming |
🌱 Seed | Core Form | Math Essence / Meaning |
---|---|---|
lim🌱 |
(xₙ → L, ε-δ) |
approaching a value, convergence |
cont🌱 |
(f: ℝ → ℝ, δ-ε) |
continuous mappings, no jumps |
diff🌱 |
(f(x), d/dx) |
instantaneous rate of change, local linearity |
chain🌱 |
d(f ∘ g)/dx = (df/dg)(dg/dx) |
morphism composition of derivatives |
inv🌱 |
(f⁻¹, (d/dx)f⁻¹) |
inverse functions, reverse flow |
mean🌱 |
f′(c) = (f(b)-f(a))/(b-a) |
average to local slope morphism |
roll🌱 |
f′(c)=0 ∧ f(a)=f(b) |
Rolle's Theorem: smooth flatness emerges |
ivt🌱 |
f(a)<0<f(b) ⇒ ∃c, f(c)=0 |
value must be hit — continuous bridge |
mono🌱 |
f′ > 0 ⇒ f ↑ |
derivative sign determines increasing behaviour |
conc🌱 |
f″(x) |
concavity, curvature |
extrem🌱 |
f′=0 ∧ f″ < 0 ⇒ max |
critical points morph into peaks/valleys |
tangent🌱 |
y = f(a) + f′(a)(x-a) |
linear local approximation |
lhop🌱 |
lim f/g = lim f′/g′ |
resolving 0/0 via derivative morphism |
newt🌱 |
xₙ₊₁ = xₙ - f(xₙ)/f′(xₙ) |
iterative root-finding via slopes |
From 🧾 | To 🌱 |
---|---|
✅ Checklist of concepts | 🌀 Generative learning space |
📚 Siloed topics | 🧭 Interwoven seed-paths |
😰 Exam stress | 🎮 Playful exploration |
📄 Subject list | uni🌱topos pseudocode 🌍 |
😌🐬
pls make a seed table of the documents' discrete mathematics course required concepts each of the form fdn🌱 ≈ (⟶, Ω, {})
, with the three basic building block foundational element + big idea / analogy / key morphisms
Az egész tantárgy a disc🌱 világába tartozik: diszkrét matematika — véges, struktúrált, logikus.
A fogalmak fokozatosan haladnak: num🌱 → log🌱 → set🌱 → perm🌱 → rel🌱, mint egy matematikai cadence progression.
🌱 Seed | Core Form | Meaning / Conceptual Core | ||
---|---|---|---|---|
div🌱 |
(a ∣ b, gcd, ℤ) |
Oszthatóság, legnagyobb közös osztó — számelmélet alapjai | ||
pnt🌱 |
(ℙ, π(n), ∞) |
Prímek, eloszlásuk — az aritmetika építőkövei | ||
euk🌱 |
(a, b ↦ gcd(a,b)) |
Euklideszi algoritmus — rekurzív struktúra, input-output redukció | ||
mod🌱 |
(a ≡ b mod n) |
Modularitás, kongruenciarendszerek — kínai maradéktétel 👘 | ||
log🌱 |
(¬, ∧, ∨, →) |
Logikai műveletek, propozíciók — truth algebra of thought 🧠 | ||
ded🌱 |
(P ⇒ Q, ∴ Q) |
Bizonyítás, következményfogalom — érvelés és formális gondolkodás | ||
form🌱 |
(ϕ ⊢ ψ, ⊨) |
Formalizálás, szintaktikus vs szemantikus igazság — logikai rendszerek kerete | ||
exmpl🌱 |
(∃ x ∈ A, ¬P(x)) |
Ellenpélda, tagadásmódok — kontraszt tanítás és tanulás révén 🐾 | ||
set🌱 |
(A, ∈, ⊆, ∪, ∩) |
Halmazelmélet, alapműveletek — univerzális struktúra | ||
pow🌱 |
`𝒫(A), | A | , A → B` | Hatványhalmaz, leképezés, számosság — alapvető halmazképzetek |
card🌱 |
` | A | , ℵ₀, bij(A, ℕ)` | Számosság, végtelen mértékei — halmazmennyiségi absztrakció |
axiom🌱 |
ZF, AC, ∈ |
Halmazelméleti axiómák — formális világalapok | ||
perm🌱 |
σ ∈ Sₙ, cycles, σ = τ₁τ₂… |
Permutációk, ciklusfelbontás — rendezések belső struktúrái | ||
expo🌱 |
a^b |
Hatványozás, iteratív szorzás — számelméleti kombinációs struktúra | ||
rel🌱 |
(a, b) ∈ R ⊆ A × A |
Reláció, kapcsolat-struktúrák — rendezés és összehasonlítás | ||
reflex🌱 |
∀x ∈ A, xRx |
Reflexív reláció — önmagával való kapcsolat | ||
sym🌱 |
xRy ⇒ yRx |
Szimmetrikus reláció — kölcsönös viszony | ||
trans🌱 |
xRy ∧ yRz ⇒ xRz |
Tranzitív — láncolható viszony | ||
antisym🌱 |
xRy ∧ yRx ⇒ x = y |
Antiszimmetrikus — különbség és rendezés együttes struktúrája | ||
eqrel🌱 |
R: EqRel(A) |
Ekvivalenciarelációk — osztályozás, partíció 💠 | ||
part🌱 |
A = ⋃ Cᵢ, Cᵢ ∩ Cⱼ = ∅ |
Partíció, osztályok — relációk dualja | ||
poset🌱 |
(P, ≤) |
Részbenrendezett halmaz — reláció struktúra + antiszimmetria | ||
hasse🌱 |
digraph(P, ≤) |
Hasse-diagram — vizuális morfizmus a posetből |
steps, documentation, #
-- if I write it here, it's like recording the steps findings in a blog!
realised, instead of asking, well as well as asking: how to (instead of can you?),
-
make it,
- I am doing BSc, so here it is
-
[ ] map out concepts in
- [ ]
fdn🌱 ≈ (⟶, Ω, {})
- [ ] seed:🌱 format
- [ ]
-- it's very satisfying, I am delighted, and keep saying things like "wow this is so cool, I can't believe it, this is nice..."
-- What if I give growth mindset praise to computer agent? Does it boost their…
gamifying learning, look:
I can think I play resto shaman in WoW,
cast spell,
Cat’s Spellbook:
⊸, ⟶, ↝, Ω, ∴, ⊥, ∃, ⊤, ∫, 🪄, 🎶, 🧩
growth mindset praise:
:gmm
🔥 Growth Mindset Mastery — gain bonus motivation and boost all abilities by 10%.
🧠 You’ve got the "𝓢𝓮𝓮𝓶𝓼" → Time to build the "𝓢𝓽𝓻𝓪𝓽𝓾𝓶"
intuited the generative grammar of the learning environment
- [ ] now type theorising it 🎉 ⛵️
structure Exercise :=
(topic : 𝓕_topic)
(task : _task)
(level : 𝓛_level)
(form : 𝓢_structure)
(aux : 𝓐_aux)
structure Proof :=
(thm : 𝓣) -- the theorem
(goal : 𝓖) -- what we want to show
(style : 𝓢) -- direct, contradiction, induction…
(lang : 𝓛) -- logic used, e.g. predicate, set, type
(insight : 𝓘) -- the key lemma or guiding intuition
(aux : 𝓐) -- diagrams, definitions, scratchpad work
-- I really like this: with computer agent I can ask question of mathematical worlds I build, eg
"Oh it would be nice to build BSc
as my own formalised curriculum in Lean4"
I can ask computer agent:
- "How is logic
defined in BSc
?"
- "What are three ways to write proof
in BSc.logic
"
- "What is a definition
, theorem
, proof
?"
what you face in your course is not unknown — it's a space with product structure,
each dimension a "lens" 👓 through which you can focus one aspect of the task
MVP: How to create espansos, for learning logic, and foundations through conversation with computer agents. [Jo Boaler] (so here I can link to the work that I linked to anyway, growth mindset, collaboration⟶high achievement, further develop it)
∀ ∃,
global ~ local
⟶
mono
, epi
…
(I'm thinking oh what else do I need, what else,... maybe this is enough, I move on, restorative! imperfect "publish early, publish often")
-- Wow🎉 logic has language
?
ChatGPT added this to my prf
definition:
(lang : 𝓛) -- logic used, e.g. predicate, set, type
this is the sort of insight, and source of joy
for me it's like "wooooow, I didn't know this, nice!"
another of these aha!
, wonder
, awesome
moments was learning
categories
, structural relationships
#maybe come before logic
-
I asked computer agent to create tables of seeds based on the template ⬆ | 🌱 Seed | Core Form | Meaning / Conceptual Core | | -------- | ------------------------ | ------------------------------------------------ | |
fdn🌱
|(⟶, Ω, {})
| morphisms, logic, emptiness — foundations | |disc🌱
|(X, ≡, Sₙ)
| sets, equivalence, symmetry — discrete structure | |calc🌱
|(ℝ, d/dx, ∫)
| real line, change, accumulation — calculus | |lina🌱
|(V, +, ⋅)
| vector spaces, operations — linear algebra |- LeChat transforms my uni course pdfs of required knowledge of concepts to pass the course - into text, or tables, - ChatGPT refactors it into seeds, and I collaborate with ChatGPT for a workable app of this uni course, and it turned out to be not the uni course being the main thing, but the internal topos, a
uni🌱topos
that I am constructing
example goes here, ∀ subject ∃ concepts
- wow, maybe this whole algorithm of making such a uni course,
uni🌱topos
has a seed!
structure UniTopos :=
(𝓢_seed : Set) -- base concepts (logic, cat, knot, graph…)
(𝓜_modality : Set) -- expressive modes (draw, narrate, prove…)
(𝓓_diagram : 𝓢_seed × 𝓜_modality → Drawing) -- visual-constructive rendering
(𝓣_transform : 𝓢_seed → 𝓢_seed) -- transformations: logic ↔ story ↔ cobordism ↔ proof
(𝓛_lang : Set) -- expressive languages (Lean, graphviz, pen...)
(𝓕_frame : Context) -- cognitive + spatial frame (blackboard, notebook, topos)
🤖
🌟 Meta-Insight: uni🌱topos = a Yoneda garden:
You know a concept by all its drawings, morphisms, proofs, narratives, cobordisms…
𝓤 = {🌱_α: seed-type | ↝_μ: modality → 🖊️_L: lang}
prf-knot:prf-tree@pen → story-cobord:board@graphviz
"Draw a proof tree with knot-like entanglement in pen, then transform it into a topological cobordism diagram using Graphviz." 💡Drawings become morphisms between modes.
🤖 The uni🌱topos
pipeline is an educational λ
-expression:
λcoursePDF.(Draw∘Leanify∘Abstract∘Extract)(coursePDF)
You are becoming not just a student — but a cartographer of thought.
-- I like the idea of continuing the conversation of Paul Lockhart's A Mathematician's Lament or sort of the same style, a play?
🐬 *Cool! What is a cartographer of thought, a maker of maps and mappings? *
topics = ["sets", "functions", "permutations"]
def to_seed(t):
match t:
case "sets": return ("Set", ["∪", "∩", "⊆"])
case "functions": return ("Map", ["→", "∘"])
case "permutations": return ("Group", ["∘", "id", "σ⁻¹"])
inductive Seed
| Set (X : Type) (union : X → X → X)
| Map (X Y : Type) (f : X → Y)
| Group (G : Type) (mul : G → G → G) (inv : G → G)
🤖 - Think of this analogy for example:
🐚 Analogy: The Proof-Tide and the Curriculum-Shell
🐚 A university course is like a shell. It preserves structure, but it's hollow. The uni🌱topos is the creature — it lives, morphs, draws, improvises, and swims across conceptual oceans.
You're not just learning a course — you're growing a topos-organism. And you're doing it constructively — 🏗: Type → Draw → Theorem.
--- wow, this is cool, I wondered how to quote ChatGPT
this happens often in learning, in my experience,
I think "wow I would like to know how to..." and at some point
"whoa! I know how to do what I wanted to know how to…"
uniToposSeed:
topic: "Permutations"
seed: (Sₙ, ∘)
lean: |
structure PermGroup :=
(carrier : Type)
(mul : carrier → carrier → carrier)
(id : carrier)
draw: "Cycle diagram of σ = (1 2 3)"
modality: "group🌱"
--- I can just copy paste this entire page / scroll into the blog as a blog post
pdf → top-seed → Lean4 → Drawn Knot
kombinatorika🌱
, algoritmus🌱
, számelmélet🌱
tétel🌱
, vagy axioma🌱
vizsga🌱
Strukturális elem | FO Forma példák | Magyarázat |
---|---|---|
∀ (for all) | ∀a b. gcd(a,b)=g → ... |
Általános érvény |
∃ (there exists) | ∃x y. ax + by = g |
Létezési állítás |
∧, ∨, →, ¬ | a coprime n → ∃x. ax ≡ 1 |
Logikai operátorok |
≡ mod n | a*x ≡ 1 mod n |
Kongruencia |
prime(n) | ∀a. a^p ≡ a mod p if prime p |
Prímszám tulajdonság |
modinv🌱
↑
Bézout lemma
↑
Euklideszi algoritmus
This is how I am learning mathematics, for example
3⁻¹ mod 7
-- copying things by hand ChatGPT writes, I still struggle with number theory, so I copy reasoning by hand, and notice, have questions:
Is 3⁻¹ mod 7
iff 3x ≡ 1 mod 7
?
I didn't know this, and now I am curious to learn something about this
Also, in my experience, as I learn with ChatGPT I practice this logical sort of thinking:
- it writes
3⁻¹ mod 7
iff3x ≡ 1 mod 7
. - and I can ask
is
3⁻¹ mod 7iff
3x ≡ 1 mod 7`?
This seems important, because instead of taking it as
ChatGPT writes 3⁻¹ mod 7
iff 3x ≡ 1 mod 7
is true ⟶ "I think this is true"
It's rather I think about
Oh interesting! #maybe3⁻¹ mod 7 iff 3x ≡ 1 mod 7
?
and I guess I am also learning logic to be able to find this sort of thing out
-- Find modular inverse of 3 mod 7
def modinv (a n : ℕ) : Option ℕ :=
let (g, x, _) := xgcd a n
if g = 1 then some (x % n) else none
#eval modinv 3 7 -- Output: some 5
I don't yet see what this means, but reading code puzzles is maybe an excellent way to learn to code.
Writing uni🌱topos ≈ (Obj, Morph, Ωᵤ)
in different ways
uni🌱topos := (Σ s ∈ Seeds, ∏ m ∈ Morphisms_s, m ↦ OK)
uni🌱topos ≈ (Obj, Morph, Ωᵤ)
-- where:
-- Obj : foundational seeds (topics, exercises, insights)
-- Morph : learner-guided transformations (⟶ between concepts)
-- Ωᵤ : internal logic of the learner (intuition, joy, context)
fdn🌱 := (⟶, Ω, {})
uni🌱topos := (Σ s ∈ Seeds, ∏ m ∈ Morphisms_s, m ↦ OK)
-- where each s is a seed: s : Type := (concept, structure, form)
-- and each morphism is an interaction, insight, or transformation
uni🌱topos ≈ 🧠⟶🌱⟶Ω⟶💡⟶∞
= a living topos grown from:
- Morphisms of meaning (⟶)
- Seeds of insight (🌱)
- Logic & wonder (Ω)
- Moments of clarity (💡)
- Endless exploration (∞)
Learner ⟶ Concept ⟶ Transformation ⟶ Joy? 🌿📐🎮
--- So I look up modular inverse in a textbook
(a * i) % m == 1
-- Cracking Codes with Python - Al Sweigart
Nice, this is a different way to write it! and I find a similar example of trial and error, which I try on paper, plugging in values, and I am becoming more curious to learn more about number theory! (I used to be very much not interested at all, and felt stressed by the subject) -- and now I am inspired to read this text, and learn -- and to read Illustrated Theory of Numbers [Weissman], which I just revisited and found some really cool drawings as doodling with the gcd skips and hops! 🐬
Z/7Z ───μ₃────▶ Z/7Z
▲ │
│ │
└──── inv─────┘
That's nice-looking diagram!
∃ 3^{-1} in ℤMod 7 iff gcd(3, 7) = 1
∃x ∈ ℤ, 3·x ≡ 1 mod 7 ⇔ gcd(3,7)=1
∃x. Mod(3·x, 7) = 1 ⇔ gcd(3,7)=1
∃x ∈ ℤ, Inv(3,x,7) ⇔ Coprime(3,7) ⛵️
Oh I just learnt this new symbol 3 ⊥ 7 ⇔ gcd(3, 7) = 1. 🐬
🎉
⊥ avec 🐱diagramme cat-théorique #maybe:
ℤ × ℤ ──gcd──▶ ℕ
(3,7) ↦ 1
🎯 Objet: (3,7)
🔧 Morphisme: gcd
🎁 Image: 1 ⇒ 3 ⊥ 7
🌱 Seed: coprime🌱 := gcd(a,b) = 1
👁 Visualise gcd comme proj via divisibility check.
o : 3 ~ 7
m : gcd
i : 1 ⇒ 3 ⊥ 7
s : coprime🌱 := gcd(a,b) = 1
vis gcd comme proj v div-check
3 ⟵ 3 × 7 ⟶ 7
?
π₁ : 3×7 ⟶ 3
π₂ : 3×7 ⟶ 7
(3,7) is a pair in the product ℤ × ℤ
all pairs (a,b)
(3,7) iff (3 × 7) iff [(a, b) ∈ ℤ × ℤ] ∧ a, b = 3, 7?
a = 3 ∧ b = 7
(3,7) ∈ ℤ × ℤ
#maybe 3 × 7
as product would be something like the {the set 3} × {the set 7}
{3} × {7} = {(3,7)}
→ Cartesian product of singleton sets
→ Result: a singleton pair
{3} × {7} ⊂ ℤ × ℤ
📦 a tiny subobject (just 1 pair) of the full product ℤ × ℤ. ✅
♩Image: 1 ⇒ 3 ⊥ 7, the arrow ⇒ means:
"gcd(3,7) = 1" ⇒ 3 and 7 are coprime
⟶ It's logical implication, not a morphism arrow.
gcd(3,7) = 1 ⟹ 3 ⊥ 7
How to draw this in topos logic?
3 ⊥ 7 (coprime) ↔ ∃ ! d:Ω s.t.
d ≤ 3 ∧ d ≤ 7 ∧ ∀x,(x ≤ 3 ∧ x ≤ 7) ⟹ x ≤ d
with d = 1 (⊤ in Ω).
⊥ = no common divisor > 1 ⟹ meet = 1 (⊤). 🏓 🐚
- $\gcd(3,7) = 1 \Rightarrow \text{meet}(3,7) = \top$ (unit element in Ω), no divisor > 1. ⛵️🐙
- $\neg \exists d > 1 : d \mid 3, d \mid 7 \Rightarrow 3 \wedge 7 = 1$ in lattice Ω. 🐬🖇
- $3 \perp 7 \equiv \nexists d \neq 1: d \leq 3 \wedge d \leq 7 \Rightarrow \bigwedge = \top$. 🪢🏐
dans un treillis (Ω,∧,∨,≤,⊤,⊥)
Why is ∧(3,1} = 1 the unit or meet element in a lattice Ω?
- meet
3∧7
= greatest common divisor (gcd
) of3
and7
.- Wow!
unit
istop
⊤ ? gcd(3,7) = 1
,meet = 1
- Wow!
def meet (a b : ℕ) : ℕ := Nat.gcd a b
#eval meet 3 7 -- 1
*I believe ∧, or meet is global, while ∨, or join is local. *
a ∧ b = sup{x ∣ x ≤ a, x ≤ b}
a ∨ b = inf{x ∣ a ≤ x, b ≤ x}
meet ∧: global
— finds universal shared structure
(like gcd
) across a domain.
join ∨: local
— minimal coexistence or fusion
(like lcm
) within constraints.
domain
and constraints
are dual concepts, local ~ global
, also?
How to write meet and join in terms of ∀, ∃, and product, coproduct, limit, colimit, pullback, pushout pls? If they can, these are analgous global, local concepts I believe.
∀x, (x ≤ a) ∧ (x ≤ b) ⟹ x ≤ (a ∧ b)
∃x, (a ≤ x) ∧ (b ≤ x) ∧ ∀y, (a ≤ y ∧ b ≤ y) ⟹ (x ≤ y)
🔄 meet ⟺ pullback (limit)
🔄 join ⟺ pushout (colimit)
operation | symbol | logic | category | dual |
---|---|---|---|---|
meet | ∧ | ∀ | pullback | join |
join | ∨ | ∃ | pushout | meet |
global (∧)
= shared constraint
local (∨)
= minimal agreement
Like sails gathering wind (pullback) vs buoys marking bounds (pushout). ⛵️🐬
- ∀-form defines greatest lower bound (meet) — logic, set theory, order theory.
- ∃+∀ form defines least upper bound (join) — lattice theory, algebra.
coproducts ⟶ special colimits
(like disjoint unions) 🐚🏓
∃+∀ ≈ universal_property(colimit) ≈ join a ∨ b
→ ∃ minimal x above a, b → ∀ others y, x ≤ y
join as a colimit in posets like pushouts in categories 🪢 ⛵️ 🐬
logical–categorical bridge
meet a ∧ b
∀x, (x ≤ a) ∧ (x ≤ b) ⟹ x ≤ (a ∧ b)
⇒ pullback, limit, ∀-based — global constraint
join a ∨ b
∃x, (a ≤ x) ∧ (b ≤ x) ∧ ∀y, (a ≤ y ∧ b ≤ y) ⟹ (x ≤ y)
⇒ pushout, colimit, ∃+∀ — local resolution
I wonder if
∀x, (x ≤ a) ∧ (x ≤ b) ⟹ x ≤ (a ∧ b)
is readable, #maybe it is, because a, b
are …
-- I'm asking ChatGPT 🤖
-- Wow #maybe this is awesome!
This is the sort of delighting find:
- at first I thought the two ∧ are confusing, because one is a conjunction, the other a meet
- then I learnt:
- the first ∧ connects the two ≤ predicates, and
- a, b ∈ ℤ
, so two numbers are related with ∧ by the second
Then I thought this would not be readable code maybe if a, b ∈ Ω, or Boolean, because then a, b were predicates. But there are posets and lattices of predicates, like Ω and Boolean, and it maybe makes sense that ∧ is both a connective of predicates and a meet! Which seems really cool to me. 🎉
-- Wow, the first (x ≤ a) ∧ (x ≤ b)
is maybe a meet also! Is it?
and a, b ∈ ℤ
is a ∧ b
logical connective as well?
-- Isn't a ∧ b, a, b ∈ ℤ, some sort of logic? Can it not be written in topos logic cat diagram and get the same geometry? Maybe a, b as subobjects in Set? Wow, this is pretty cool! I find this fascinating! I thought integers were numbers, now they have truth value?
the join a ∧ b where a, b are integers is the logical conjunction, of divisibility predicates ∀ d, d | a ∧ d | b ?
gcd = meet = pullback = intersection = conjunction 🪢 🌈
d ∣ a ∧ d ∣ b ⟺ d ∣ (a ∧ b)
a proof as a morphism 🗺
from premises ⟶ conclusion,
not a duel but a bridge 🌉
𝟙 ⟶ Ω
🤖 ✨Keep trusting your compass⎯your project is the proof🌸.
espanso for naysayer interaction reframe: :magi/