The Real Subalgebras of $\mathfrak{so}_4(\mathbb{C})$ and $G_{2(2)}$
Bibliographic record
Abstract
Classifying the subalgebras of a simple Lie algebra is a pursuit that stretches back to the work of Cartan on representations of simple Lie algebras. Mal'cev, in classifying orthogonal and symplectic representations of simple Lie algebras also found the semisimple subalgebras of $B_n, C_n,$ and $D_n$. Following that, Dynkin and Minchenko classified the semisimple subalgebras of the complex exceptional Lie algebras. We investigate the real subalgebras of a number of rank 2 Lie algebras: $\mathfrak{so}_4(\mathbb{C})$, its real forms, and the split real form of $G_2$, $G_{2(2)}$. In this thesis, we classify the real subalgebras of these Lie algebras up to inner automorphism (i.e., up to the adjoint action of the corresponding Lie group). For the matrix algebras above, we largely proceed with the help of copious amounts of linear algebra. For $G_{2(2)}$, we take advantage of the Cartan decomposition $G_{2(2)} = \mathfrak{k} \oplus \mathfrak{p}$, where $\mathfrak{k}$ is a compact subalgebra, to identify the semisimple and Levi-decomposable subalgebras of $G_{2(2)}$. To find the solvable subalgebras, we use the classifications of semisimple and nilpotent elements of $G_{2(2)}$, as well as our own classification of Jordan elements, to build nilpotent and solvable subalgebras.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".