Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,207 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-2.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-2.0
|
| 3 |
+
pretty_name: Coefficients on Kazhdan–Lusztig polynomials for permutations of size 5
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# The Coefficients of Kazhdan-Lusztig Polynomials for Permutations of Size 5
|
| 7 |
+
|
| 8 |
+
Kazhdan-Lusztig (KL) polynomials are polynomials in a variable \\(q\\) and
|
| 9 |
+
with integer coefficients that (for our purposes) are indexed by a pair of permutations [1].
|
| 10 |
+
We will write the KL polynomial associated with permutations \\(\sigma\\) and \\(\nu\\) as
|
| 11 |
+
\\(P_{\sigma,\nu}(q)\\). For example, the KL polynomial associated with permutations
|
| 12 |
+
\\(\sigma = 1 \; 4 \; 3 \; 2 \; 7 \; 6 \; 5 \; 10 \; 9 \; 8 \; 11\\) and
|
| 13 |
+
\\(\nu = 4 \; 6 \; 7 \; 8 \; 9 \; 10 \; 1 \; 11 \; 2 \; 3 \; 5\\) is
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
\\(P_{\sigma,\nu}(q) = 1 + 16q + 103q^2 + 337q^3 + 566q^4 + 529q^5 + 275q^6 + 66q^7 + 3q^8\\)
|
| 17 |
+
|
| 18 |
+
(see [here](https://gswarrin.w3.uvm.edu/research/klc/klc.html) for efficient software to compute
|
| 19 |
+
these polynomials). KL polynomials have deep connections throughout several areas of mathematics. For example,
|
| 20 |
+
KL polynomials are related to the dimensions of intersection homology in Schubert calculus,
|
| 21 |
+
the study of the Hecke algebra, and representation theory of the symmetric group. They
|
| 22 |
+
can be computed via a recursive formula [[1]](https://link.springer.com/article/10.1007/BF01390031),
|
| 23 |
+
nevertheless, in many ways they remain mysterious. For instance, there is no known closed
|
| 24 |
+
formula for the degree of \\(P_{\sigma,\nu}(q)\\).
|
| 25 |
+
|
| 26 |
+
One family of questions revolve around the coefficients of \\(P_{\sigma,\nu}(q)\\).
|
| 27 |
+
For instance, it has been hypothesized that the coefficient on the largest possible monomial term
|
| 28 |
+
\\(q^{\ell(\sigma) - \ell(\nu)-1/2}\\) (where \\(\ell(x)\\) is a statistic of the
|
| 29 |
+
permutation \\(x\\) called the *length* of the permutation), which is known as the
|
| 30 |
+
\\(\mu\\)-coefficient, has a combinatorial interpretation but currently this is not
|
| 31 |
+
known. Better understanding this and other coefficients is of significant
|
| 32 |
+
interest to mathematicians from a range of fields.
|
| 33 |
+
|
| 34 |
+
## Dataset details
|
| 35 |
+
|
| 36 |
+
Each instance in this dataset consists of a pair of permutations of \\(n,x \in S_n\\)
|
| 37 |
+
along with the coefficients of the polynomial \\(P_{x,w}(q)\\). If \\(x = \;1 \;2 \;3\; 4\; 5\; 6\\),
|
| 38 |
+
\\(w=4 \;5\; 6\; 1 \;2 \;3\\) and \\(P_{v,w}(q) = 1 + 4q + 4q^2 + q^3\\)
|
| 39 |
+
then the coefficients field is written as `1, 4, 4, 1`. Note that coefficients are listed
|
| 40 |
+
by increasing degree of the power of \\(q\\) (e.g., the coefficient on \\(1\\) comes first,
|
| 41 |
+
then the coefficient on \\(q\\), then the coefficient on \\(q^2\\), etc.)
|
| 42 |
+
|
| 43 |
+
We summarize the limited number of values of coefficients on \\(P_{x,w}(q)\\) take when \\(x, w \in S_5\\).
|
| 44 |
+
|
| 45 |
+
**Constant Terms:**
|
| 46 |
+
|
| 47 |
+
| | 0 | 1 | Total number of instances |
|
| 48 |
+
|----------|----------|----------|----------|
|
| 49 |
+
| Train | 8,496 | 3,024 | 11,520 |
|
| 50 |
+
| Test | 2,123 | 757 | 2,880 |
|
| 51 |
+
|
| 52 |
+
**Coefficients on \\(q\\):**
|
| 53 |
+
|
| 54 |
+
| | 0 | 1 | 2 | Total number of instances |
|
| 55 |
+
|----------|----------|----------|----------|----------|
|
| 56 |
+
| Train | 11,219 | 267 | 34 | 11,520 |
|
| 57 |
+
| Test | 2,793 | 77 | 10 | 2,880 |
|
| 58 |
+
|
| 59 |
+
**Coefficient on \\(q^2\\):**
|
| 60 |
+
|
| 61 |
+
| | 0 | 1 | Total number of instances |
|
| 62 |
+
|----------|----------|----------|----------|
|
| 63 |
+
| Train | 11,514 | 6 | 11,520 |
|
| 64 |
+
| Test | 2,876 | 4 | 2,880 |
|
| 65 |
+
|
| 66 |
+
### Kazhdan-Lusztig Polynomials for Permutations of \\(6\\) elements
|
| 67 |
+
|
| 68 |
+
We summarize the limited number of values coefficients on \\(P_{x,w}(q)\\) take when \\(x, w \in S_6\\).
|
| 69 |
+
|
| 70 |
+
**Constant Terms:**
|
| 71 |
+
|
| 72 |
+
| | 0 | 1 | Total number of instances |
|
| 73 |
+
|----------|----------|----------|----------|
|
| 74 |
+
| Train | 336,071 | 78,649 | 414,720 |
|
| 75 |
+
| Test | 83,922 | 19,758 | 103,680 |
|
| 76 |
+
|
| 77 |
+
**Coefficients on \\(q\\):**
|
| 78 |
+
|
| 79 |
+
| | 0 | 1 | 2 | 3 | 4 | Total number of instances |
|
| 80 |
+
|----------|----------|----------|----------|----------|----------|----------|
|
| 81 |
+
| Train | 397,386 | 13,253 | 3,483 | 535 | 63 | 414,720 |
|
| 82 |
+
| Test | 99,354 | 3,311 | 883 | 117 | 15 | 103,680 |
|
| 83 |
+
|
| 84 |
+
**Coefficient on \\(q^2\\):**
|
| 85 |
+
|
| 86 |
+
| | 0 | 1 | 2 | 3 | 4 | Total number of instances |
|
| 87 |
+
|----------|----------|----------|----------|----------|----------|----------|
|
| 88 |
+
| Train | 412,707 | 1,705 | 242 | 40 | 26 | 414,720 |
|
| 89 |
+
| Test | 103,177 | 441 | 46 | 8 | 8 | 103,680 |
|
| 90 |
+
|
| 91 |
+
**Coefficient on \\(q^3\\):**
|
| 92 |
+
|
| 93 |
+
| | 0 | 1 | Total number of instances |
|
| 94 |
+
|----------|----------|----------|----------|
|
| 95 |
+
| Train | 414,688 | 32 | 414,720 |
|
| 96 |
+
| Test | 103,670 | 10 | 103,680 |
|
| 97 |
+
|
| 98 |
+
### Kazhdan-Lusztig Polynomials for Permutations of \\(7\\) elements
|
| 99 |
+
|
| 100 |
+
We summarize the limited number of values coefficients on \\(P_{x,w}(q)\\) take when \\(x, w \in S_7\\).
|
| 101 |
+
|
| 102 |
+
**Constant Terms:**
|
| 103 |
+
|
| 104 |
+
| | 0 | 1 | Total number of instances |
|
| 105 |
+
|----------|----------|----------|----------|
|
| 106 |
+
| Train | 17,479,910 | 2,841,370 | 20,321,280 |
|
| 107 |
+
| Test | 4,370,771 | 709,549 | 5,080,320 |
|
| 108 |
+
|
| 109 |
+
**Coefficients on \\(q\\):**
|
| 110 |
+
|
| 111 |
+
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | Total number of instances |
|
| 112 |
+
|----------|----------|----------|----------|----------|----------|----------|----------|----------|
|
| 113 |
+
| Train | 19,291,150 | 660,600 | 266,591 | 80,173 | 18,834 | 3,221 | 711 | 20,321,280 |
|
| 114 |
+
| Test | 4,822,214 | 165,768 | 66,593 | 19,963 | 4,762 | 819 | 201 | 5,080,320 |
|
| 115 |
+
|
| 116 |
+
**Coefficient on \\(q^2\\):**
|
| 117 |
+
|
| 118 |
+
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | Total number of instances |
|
| 119 |
+
|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|
|
| 120 |
+
| Train | 20,072,738 | 170,412 | 46,226 | 16,227 | 7,621 | 4,023 | 1,287 | 1,153 | 785 | 350 | 152 | 139 | 121 | 42 | 4 | 20,321,280 |
|
| 121 |
+
| Test | 5,017,962 | 42,748 | 11,568 | 4,021 | 1,905 | 1,065 | 349 | 287 | 183 | 86 | 40 | 37 | 47 | 22 | 5,080,320 |
|
| 122 |
+
|
| 123 |
+
**Coefficient on \\(q^3\\):**
|
| 124 |
+
|
| 125 |
+
| | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 15 | Total number of instances |
|
| 126 |
+
|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|
|
| 127 |
+
| Train | 20,291,535 | 22,094 | 4,779 | 1,660 | 590 | 195 | 206 | 115 | 34 | 26 | 24 | 18 | 4 | 20,321,280 |
|
| 128 |
+
| Test | 507,2831 | 5,498 | 1,213 | 442 | 146 | 61 | 50 | 37 | 14 | 6 | 8 | 14 | 5,080,320 |
|
| 129 |
+
|
| 130 |
+
**Coefficient on \\(q^4\\):**
|
| 131 |
+
|
| 132 |
+
| | 0 | 1 | Total number of instances |
|
| 133 |
+
|----------|----------|----------|----------|
|
| 134 |
+
| Train | 17,479,910 | 2,841,370 | 20,321,280 |
|
| 135 |
+
| Test | 4,370,771 | 709,549 | 5,080,320 |
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
## Data Generation
|
| 139 |
+
|
| 140 |
+
Datasets were generated using C code from Greg Warrington's
|
| 141 |
+
[website](https://gswarrin.w3.uvm.edu/research/klc/klc.html). The code we used can be found
|
| 142 |
+
[here](https://github.com/pnnl/ML4AlgComb/tree/master/kl-polynomial_coefficients).
|
| 143 |
+
|
| 144 |
+
## Task
|
| 145 |
+
|
| 146 |
+
**Math question:** Generate conjectures around the properties of coefficients appearing on KL polynomials.
|
| 147 |
+
|
| 148 |
+
**Narrow ML task:** Predict the coefficients of \\(P_{x,w}(q)\\) given \\(x\\) and \\(w\\).
|
| 149 |
+
We break this up into a separate task for each coefficient though one could
|
| 150 |
+
choose to predict all simultaneously. Since there are generally very few
|
| 151 |
+
different integers that arise as coefficients (at least in these small examples),
|
| 152 |
+
we frame this problem as one of classification.
|
| 153 |
+
|
| 154 |
+
While the classification task as framed does not capture the broader math question exactly,
|
| 155 |
+
illuminating connections between \\(x\\), \\(w\\), and the coefficients of \\(P_{x,w}(q)\\)
|
| 156 |
+
has the potential to yield critical insights.
|
| 157 |
+
|
| 158 |
+
## Small model performance
|
| 159 |
+
|
| 160 |
+
Since there are many possible tasks here, we did not run exhaustive hyperparameter searches.
|
| 161 |
+
Instead, we ran ReLU MLPs with depth 4, width 256, and learning rate 0.0005.
|
| 162 |
+
|
| 163 |
+
### Kazhdan-Lusztig Polynomials for Permutations of \\(5\\) elements
|
| 164 |
+
|
| 165 |
+
Accuracy predicting coefficients for permutations of 5 elements:
|
| 166 |
+
|
| 167 |
+
| Coefficient | MLP | Transformer | Guessing largest class |
|
| 168 |
+
|----------|----------|-----------|------------|
|
| 169 |
+
| \\(1\\) | \\(99.8\% \pm 0.2\%\\) | \\(99.9\% \pm 0.1\%\\) | \\(73.7\%\\) |
|
| 170 |
+
| \\(q\\) | \\(99.5\% \pm 0.4\%\\) | \\(99.2\% \pm 1.0\%\\) | \\(97.0\%\\) |
|
| 171 |
+
| \\(q^2\\) | \\(99.9\% \pm 0.1\%\\) | \\(100.0\% \pm 0.0\%\\) | \\(99.9\%\\) |
|
| 172 |
+
|
| 173 |
+
The associated macro F1-scores are:
|
| 174 |
+
|
| 175 |
+
| Coefficient | MLP | Transformer |
|
| 176 |
+
|----------|----------|-----------|
|
| 177 |
+
| \\(1\\) | \\(99.7\% \pm 0.1\%\\) | \\(99.9\% \pm 0.4\%\\) |
|
| 178 |
+
| \\(q\\) | \\(93.9\% \pm 3.7\%\\) | \\(92.7\% \pm 7.6\%\\) |
|
| 179 |
+
| \\(q^2\\) | \\(50.0\% \pm 0.0\%\\) | \\(100.0\% \pm 0.0\%\\) |
|
| 180 |
+
|
| 181 |
+
### Kazhdan-Lusztig Polynomials for Permutations of \\(6\\) elements
|
| 182 |
+
|
| 183 |
+
Accuracy predicting coefficients for permutations of 6 elements:
|
| 184 |
+
|
| 185 |
+
| Coefficient | MLP | Transformer | Guessing largest class |
|
| 186 |
+
|----------|----------|-----------|------------|
|
| 187 |
+
| \\(1\\) | \\(99.9\% \pm 0.0\%\\) | \\(100.0\% \pm 0.0\%\\) | \\(80.9\%\\)|
|
| 188 |
+
| \\(q\\) | \\(99.9\% \pm 0.0\%\\) | \\(99.9\% \pm 0.0\%\\) | \\(95.8\%\\) |
|
| 189 |
+
| \\(q^2\\) | \\(99.9\% \pm 0.0\%\\) | \\(99.9\% \pm 0.0\%\\) | \\(99.5\%\\) |
|
| 190 |
+
| \\(q^3\\) | \\(99.9\% \pm 0.0\%\\) | \\(99.9\% \pm 0.0\%\\) | \\(99.9\%\\) |
|
| 191 |
+
|
| 192 |
+
The associated macro F1-scores are:
|
| 193 |
+
|
| 194 |
+
| Coefficient | MLP | Transformer |
|
| 195 |
+
|----------|----------|-----------|
|
| 196 |
+
| \\(1\\) | \\(99.9\% \pm 0.0\%\\) | \\(100.0\% \pm 0.0\%\\) |
|
| 197 |
+
| \\(q\\) | \\(99.0\% \pm 1.5\%\\) | \\(98.0\% \pm 3.7\%\\) |
|
| 198 |
+
| \\(q^2\\) | \\(97.4\% \pm 5.2\%\\) | \\(98.0\% \pm 3.7\%\\) |
|
| 199 |
+
| \\(q^3\\) | \\(87.9\% \pm 4.5\%\\) | \\(88.3\% \pm 17.1\%\\) |
|
| 200 |
+
|
| 201 |
+
The \\(\pm\\) signs indicate 95% confidence intervals from random weight initialization and training.
|
| 202 |
+
|
| 203 |
+
## References
|
| 204 |
+
|
| 205 |
+
\[1\] Kazhdan, David, and George Lusztig. "Representations of Coxeter groups and Hecke algebras." Inventiones mathematicae 53.2 (1979): 165-184.
|
| 206 |
+
|
| 207 |
+
\[2\] Warrington, Gregory S. "Equivalence classes for the μ-coefficient of Kazhdan–Lusztig polyno
|