Pick a group type and enter its parameters. Instantly compute order with stepwise built-in validation. Download a clean summary and example table instantly now.
| Group family | Parameters | Order | Comment |
|---|---|---|---|
| Zₙ | n = 12 | 12 | Integers modulo 12 under addition. |
| Dₙ | n = 7 | 14 | Symmetries of a regular heptagon. |
| Sₙ | n = 6 | 720 | All permutations of six objects. |
| Aₙ | n = 6 | 360 | Even permutations only. |
| GL(k,q) | k = 2, q = 5 | 480 | Invertible 2×2 matrices over a 5-element field. |
| U(n) | n = 10 | 4 | Units modulo 10: {1,3,7,9}. |
Group order is the first “capacity metric” of a finite structure. It bounds how many states, symmetries, or reversible moves exist, and it guides whether enumeration is feasible. For example, |S_8| = 40320 is manageable, while |S_15| is already far beyond brute-force listing. Order also constrains subgroup sizes via Lagrange’s theorem.
Different families grow at very different speeds. Cyclic and dihedral orders scale linearly with n, direct products scale multiplicatively, and symmetric orders grow factorially. A simple comparison: |Z_{1000}| = 1000, |D_{1000}| = 2000, but |S_{10}| = 3,628,800. This calculator keeps exact integers so you can see that growth clearly. Past a few million elements, you usually switch from enumeration to structural methods.
The unit group U(n) contains the integers coprime to n under multiplication modulo n. Its order is Euler’s totient φ(n). If n = p^a for prime p, then φ(n) = p^a − p^{a-1}. For a product of distinct primes n = p_1p_2…p_r, you get φ(n)=n∏(1−1/p_i). These identities explain why φ(10)=4 and φ(12)=4 even though 10 and 12 differ. It also estimates how many invertible residues exist modulo n.
For GL(k,q), each column must avoid linear dependence on earlier columns. That constraint produces (q^k−1)(q^k−q)…(q^k−q^{k−1}). The special linear group SL(k,q) fixes determinant 1, reducing the count by a factor of (q−1). With k=2, q=5, the result is (25−1)(25−5)=24×20=480, matching the example table. Later factors shrink because independence becomes harder as the basis fills.
Treat order as a budgeting tool. If you need to iterate over elements, estimate time as “operations per element × order”. If you sample randomly, order hints how many trials are needed for coverage. When exporting results, keep both the raw value and the formatted value, since formatting helps humans while raw values preserve exact digits for scripts. Compare scenarios by ratios of orders; doubling the order can double runtime for naive loops and spreadsheet scans in classroom and lab work. For reporting, always store the family and parameters with the order.
Order is the number of elements in the group. It measures the size of the set on which the group operation is defined.
Because |S_n| = n! counts all permutations. Factorials grow faster than exponentials, so even moderate n leads to very large values.
Use A_n when you only want even permutations, such as orientation-preserving symmetry in many constructions. Its order is exactly half of S_n for n ≥ 2.
No. φ(n) counts integers in {1,…,n} that are coprime to n. Prime factorization helps compute it efficiently, but it is not just a factor count.
q is the size of the finite field used for matrix entries. In many applications it is a prime power. The formulas assume arithmetic over that field.
Formatted results add separators for readability. Raw results keep the exact digits without commas, which is better for copying into code, spreadsheets, or verification scripts.
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