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Hugo Hadwiger

Hugo Hadwiger

Swiss mathematicianWikipedia

Search complete. 10 mentions across 4 episodes found for "Hugo Hadwiger".

Oct 9, 2026

Type 3 AudioNARRATOR
3:30
It's about whether a type of problem even has a computable solution.
Type 3 AudioNARRATOR
3:35
Last but not least is Hadwiger on graph coloring.
Type 3 AudioNARRATOR
3:38
It also ranks there for most shocking result of the full set.
Type 3 AudioNARRATOR
3:42
It basically overturns something that we thought was one of the most fundamental relationships in graphs." End quote.

39 MINS LATER

Type 3 AudioNARRATOR
42:31
The system works.
Type 3 AudioNARRATOR
42:33
There are three proofs that have broken so far, and all of them are in the unformalized fifty-eight percent.
Type 3 AudioNARRATOR
42:40
Of the nine results discussed up top, five are checked in lean, quasi-RH, matrix multiplication, pi, unique games, and Hadwiger, as in the lean-checked forty-two percent.
Type 3 AudioNARRATOR
42:51
At some point, you will give the model a task that is substantially harder than some other way to solve the problem of you assigning the task, whether or not the alternative path involves taking over the world.
Type 3 AudioNARRATOR
3:30
It's about whether a type of problem even has a computable solution.
Type 3 AudioNARRATOR
3:35
Last but not least is Hadwiger on graph coloring.
Type 3 AudioNARRATOR
3:38
It also ranks there for most shocking result of the full set.
Type 3 AudioNARRATOR
3:42
It basically overturns something that we thought was one of the most fundamental relationships in graphs." End quote.

39 MINS LATER

Type 3 AudioNARRATOR
42:31
The system works.
Type 3 AudioNARRATOR
42:33
There are three proofs that have broken so far, and all of them are in the unformalized fifty-eight percent.
Type 3 AudioNARRATOR
42:40
Of the nine results discussed up top, five are checked in lean, quasi-RH, matrix multiplication, pi, unique games, and Hadwiger, as in the lean-checked forty-two percent.
Type 3 AudioNARRATOR
42:51
At some point, you will give the model a task that is substantially harder than some other way to solve the problem of you assigning the task, whether or not the alternative path involves taking over the world.
speaker_1SOUNDBITE_SPEAKER
4:26
But unlike P versus NP, it isn't even about problems that are computationally hard to solve, it's about whether a type of problem even has a computable solution.
speaker_1SOUNDBITE_SPEAKER
4:36
Last but not least is Hadwiger on graph coloring.
speaker_1SOUNDBITE_SPEAKER
4:39
It also ranks there for most shocking result of the full set.
speaker_1SOUNDBITE_SPEAKER
4:43
It basically overturns something that we thought was one of the most fundamental relationships in graphs.

40 MINS LATER

Zvi MowshowitzHOST
44:48
There are three proofs that have broken so far, and all of them are in the unformalized fifty-eight percent.
Zvi MowshowitzHOST
44:55
Of the nine results discussed up top, five are checked in Lean.
Zvi MowshowitzHOST
44:59
Quasi-RH, matrix multiplication, pi, unique games, and Hadwiger, as in the Lean-checked forty-two percent.
Zvi MowshowitzHOST
45:07
At some point, you will give the model a task that is substantially harder than some other way to solve the problem of you assigning the task, whether or not the alternative path involves taking over the world.
speaker_1HOST
43:12
It is unavoidable.
speaker_0HOST
43:14
Which brings us to the holy grail of this intersection between coloring and density, Hadwiger's conjecture, proposed in 1943.
speaker_0HOST
43:22
Diestel dedicates section 7.3 to this, and it remains one of the deepest, most tantalizing unsolved mysteries in all of graph theory.
speaker_0HOST
43:30
What does Hadwiger propose?
speaker_1HOST
43:32
Hadwiger conjectured that there is a profound, unbreakable link between the chromatic number of a graph and the presence of complete minors.
speaker_1HOST
43:41
He proposed that if a graph requires r colors to resolve its conflicts, meaning it has a chromatic number of r, then it is mathematically guaranteed that the graph contains a kr minor hidden within its structure.
speaker_0HOST
43:55
Let me make sure I fully grasp the magnitude of that.

16 MINS LATER

speaker_0HOST
59:48
We watched MacLean translate physical geometric drawings into the vector spaces of modulo 2 algebra, and saw how plane duality flips cycles into cuts, turning the empty spaces of a network into the solid structure of its shadow.

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