Комментарии:
You videos help with my language skills. Thank you (^^♪
ОтветитьI miss when math had numbers…
ОтветитьFor those confused, the "derivative of the derivative" is the Pincherle Derivative.
ОтветитьWhere this topic can be read about ? Can you give a reference ?
Ответитьsome people, will be attracted to your art style, creative video though.
ОтветитьI don't get it, what is it ?
Ответитьmy favourite math channel
ОтветитьLooks like pincherle derivatives are closely related to lie derivatives?
ОтветитьSUBSCRIBED SUBSCRIBED SUBSCRIBED Please never stop uploading
ОтветитьZUNDAMON THEOREM!!
Ответитьit might be clearer to coin a different notation for ”multiply by a function”, say M_x, since the abuse of notation is elegant but also potentially very confusing if you lose track of what x means in each context (this way x^2 = x x becomes (M_x)^2 = M_{x^2} which at least looks like something happened
ОтветитьIf you're a physicist, you must already know this
Ответитьpeak^2
Ответитьi wonder what other functions of the derivative mean? like cos(D)
ОтветитьIt's not only differentiation of differentiation, but also differentiation with respect to differentiation…
ОтветитьWake up mathematician! Zundamon's Theorem has just dropped new video
ОтветитьThank you Zudamon :D
Ответитьanime functional analysis
ОтветитьWait, this is based on the differentiation with respect to differentiation, but, can more layers be done? If we define D_0=d/dx and D_n=d/d(D_(n-1)) recursively, can we do this for every natural n?, can we take the limit as n goes to infinity?, can we abuse it and extend it to the integers, is there a generalization to the reals and complex? This is just scratching the surface of something bigger. Also, I noticed the "other self" part, are there two Zundamons?
Ответитьit's such an amazing stuff
ОтветитьThat's just gold
ОтветитьVery interesting, this seems so nice and deep
ОтветитьZundamon and Metan is like if a mathematician and a crackhead had a baby
ОтветитьI am a bot
Ответитьnew zundamon theorem lets go
ОтветитьIdk i didnt see any motivation for why we should care about the commutator
ОтветитьEven the infinite series of differentiation of the acceleration of my excitedness isn't constant, when i watch this channel
ОтветитьI‘m going to dream about x, f of x, x to the n, x, x, dx … maybe I’ll understand the topic than 🤓 (x = xenon = the unknown). Thx for the vid 😊.
ОтветитьTitle: "Completing Mathematics: The Holographic Number System"
# Formal Notation System
## Definition: Holographic Numbers
A holographic number ₙN is a quaternionic structure containing its complete dimensional history:
ₙN = {₀0, ₁1, ₂2, ..., ₙ₋₁(n-1), n}
Where:
- n = dimensional depth
- N = the number at that depth
- Each level contains quaternionic structure
## Fundamental Construction
Base Case: ₀0 = 1 + i + j + k (quaternionic zero)
Recursive Case: ₙ₊₁(n+1) = {ₙn} ⊕ (n+1)
Where ⊕ represents dimensional extension (not simple addition)
## Formal Notation
Standard Number: 5
Holographic Number: ₅5 = {₀0, ₁1, ₂2, ₃3, ₄4, 5}
Expanded Form:
₅5 = {
₀0: (1 + i + j + k),
₁1: {₀0} ⊕ 1,
₂2: {₀0, ₁1} ⊕ 2,
₃3: {₀0, ₁1, ₂2} ⊕ 3,
₄4: {₀0, ₁1, ₂2, ₃3} ⊕ 4,
5: {₀0, ₁1, ₂2, ₃3, ₄4} ⊕ 5
}
# Operations on Holographic Numbers
## Addition: Dimensional Merger
ₘM + ₙN = ₘₐₓ(m,n)(M + N)
The result has depth of the deeper number, containing both histories.
Example: ₂2 + ₃3
₂2 = {₀0, ₁1, 2}
₃3 = {₀0, ₁1, ₂2, 3}
₂2 + ₃3 = ₃5 = {₀0, ₁1, ₂2, 3+2} = {₀0, ₁1, ₂2, 5}
## Multiplication: Dimensional Tensor
ₘM × ₙN = ₘ₊ₙ(M × N)
Multiplication increases dimensional depth!
Example: ₂2 × ₃3
₂2 × ₃3 = ₅6
Depth: 2 + 3 = 5
Value: 2 × 3 = 6
Result: ₅6 = {₀0, ₁1, ₂2, ₃3, ₄4, 6}
## Division: Dimensional Reduction
ₘM ÷ ₙN = ₘ₋ₙ(M ÷ N) when m ≥ n
When m < n, we get imaginary depth (key insight!)
# Resolving Mathematical Crises
## Crisis 1: Division by Zero
Current Math: 5 ÷ 0 = undefined
Holographic Math:
₅5 ÷ ₀0 = ₅5 ÷ (1+i+j+k)
This gives us a quaternionic transformation:
₅5 ÷ ₀0 = ₅5 × (1-i-j-k)/|1+i+j+k|²
= ₅5 × (1-i-j-k)/4
= quaternionic rotation of ₅5
Result: Division by zero becomes rotation into quaternionic space!
## Crisis 2: 0⁰ Indeterminacy
Current Math: 0⁰ = undefined (or 1, depending on context)
Holographic Math:
₀0^₀0 = (1+i+j+k)^(1+i+j+k)
Using quaternionic exponentiation:
= exp[(1+i+j+k)×ln(1+i+j+k)]
= exp[quaternionic phase]
= *Unit quaternion* (not undefined!)
## Crisis 3: The Continuum Hypothesis
Current Math: Is |ℝ| = ℵ₁? Undecidable!
Holographic Math:
- ℵ₀ corresponds to ₀0's countable expansions
- 2^ℵ₀ corresponds to all quaternionic phases of ₀0
- The continuum has structure: |ℝ| = |quaternionic phases|
Resolution: The continuum is the quaternionic completion of the integers!
## Crisis 4: Infinity Arithmetic
Current Math: ∞ + 1 = ∞, ∞ - ∞ = undefined
Holographic Math:
- ∞ is not a number but a process
- ₙ∞ = limₘ→∞ ₘm (infinity at depth n)
- ₙ∞ + 1 = ₙ₊₁∞ (deeper infinity!)
Now ∞ - ∞ has meaning:
ₙ∞ - ₙ∞ = ₀0 (returns to quaternionic source)
## Crisis 5: Gödel's Incompleteness
Current Math: Consistent systems cannot prove their own consistency
Holographic Math:
- Every ₙn contains ₀0
- ₀0 contains self-reference (k component)
- System proves its own consistency through quaternionic closure!
The incompleteness arose from incomplete zero!
# Specific Examples
## Example 1: Resolving √-1
Current Math: i = √-1 (mysterious)
Holographic Math:
₁(-1) = {₀0, -1}
√₁(-1) = ₁/₂(i) = {₀0, i}
The imaginary unit emerges naturally from dimensional depth!
## Example 2: Euler's Identity
Current: e^(iπ) + 1 = 0
Holographic:
ₑe^(ᵢ(iπ)) + ₁1 = ₀0
But now we see the full structure:
- Left side: Exponential growth through imaginary rotation plus unity
- Right side: Quaternionic balance containing both
The equation shows how complexity returns to quaternionic source!
## Example 3: The Riemann Hypothesis
Current: All non-trivial zeros of ζ(s) have real part 1/2
Holographic:
- Trivial zeros: ₙ0 at negative even integers (complex projections)
- Non-trivial zeros: ₀0 along critical line (quaternionic sources)
The hypothesis is true because zeros have different dimensional depths!
## Example 4: Fermat's Last Theorem
Current: No integer solutions to x^n + y^n = z^n for n > 2
Holographic:
For n > 2: ₙx^n + ₙy^n = ₙz^n
But dimensional depth forces:
- n = 2: Pythagorean triples (2D closure)
- n > 2: No closure in integer dimensions!
The theorem follows from dimensional constraints!
# The New Number Line
## Standard Number Line
...-3 -2 -1 0 1 2 3...
## Holographic Number Structure
₃3
/|\
₂2 |
/| |
₁1 | |
/ | |
₀0---₀0---₀0 (quaternionic spine)
\ | |
₋₁-1| |
\| |
₋₂-2|
\|/
₋₃-3
Each number connects to ₀0 and contains all previous dimensions!
# Computational Implementation
## HoloNum Class (Python)
python
class HoloNum:
def __init__(self, depth, value, history=None):
self.depth = depth
self.value = value
self.history = history or self._build_history()
def _build_history(self):
if self.depth == 0:
return Quaternion(1, 1, 1, 1) # 1+i+j+k
else:
return {d: HoloNum(d, d) for d in range(self.depth)}
def __add__(self, other):
new_depth = max(self.depth, other.depth)
new_value = self.value + other.value
return HoloNum(new_depth, new_value)
def __truediv__(self, other):
if other.depth == 0: # Division by holographic zero
return self.quaternionic_transform()
else:
return HoloNum(self.depth - other.depth,
self.value / other.value)
# Physical Predictions
If numbers are holographic:
1. *Quantum states* should show dimensional memory
2. *Particle masses* should follow holographic patterns
3. *Constants of nature* should be holographic numbers
4. *Black holes* should exhibit number-theoretic structure
# Conclusion
By making numbers holographic:
- Zero becomes meaningful (quaternionic source)
- Infinity becomes structured (dimensional process)
- Paradoxes resolve (through dimensional depth)
- Mathematics completes itself
The 0D boundary contains everything - not as projection but as source. Every number remembers where it came from, carrying ₀0 within itself. Mathematics becomes not just consistent but self-aware through its quaternionic foundation.
We've been doing mathematics in flatland. It's time to recognize its true holographic structure.
so what is it d/d(d/dx)(x^n) ???
ОтветитьCan you dub the older videos?
ОтветитьThe zundamon lore is crazy
ОтветитьIt might be a good idea to introduce pseudodifferential operators, quantization, moyal bracket, etc altogether at some point
ОтветитьAmo con locura este canal.❤🔥❤🔥❤🔥
ОтветитьYay, people rediscovering the differential forms ...
Ответитьoooo remember doing something like this in lesser depth at school!! thank you again <3
ОтветитьThis has the same energy as asking "What is plus times plus?"
ОтветитьThe moment time shift showed up my intuition screamed exponentials
ОтветитьCan we get an adult copy of this? Like all the math, but without the childish brain rot baby talk?
Ответить48 K Subscribers
12 K Views
1.2 K likes
These are INSANE numbers for a channel that's about a pair of anime characters discussing abstract algebra and calculus topics.
I just can’t get the concept of replacing differentiation operator with D. Can anybody explain:(.
Ответитьd/(d(d/dx)) = 1/(d/dx) = dx/d
= (d/dx)^-1 so just the antiderivative.
Proof by treating d/dx as a fraction
Why do things start looking like Laplace transforms near the end...? 😵💫
ОтветитьAfter seeing x^n and D^n forms of the commutator, I'm curious about a matrix of results for [D^m, x^n].
The exponential form of the shift operator also makes intuitive sense, as exponential is the domain that shifts multiplication to addition, which is what's happening to the shift operator (a function on a function) and the result of it, the addition of x and a.
Honestly this seems super cool, but annoyingly operators must be some kind of ultra weak spot for me. I don't know what the issue is, but its persisted for quite a number of years now and its super annoying. If there's some good material anyone knows about to deal with this, let me know!
ОтветитьDifferentiation is a linear transformation. A very key thing to realize when one starts doing differential geometry.
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