TheoremBase

A permutation is a set because it is an element of SnS_n, and it is a bijection [n]→[n], hence a map; det is a map from the square matrices to the reals, so its value at a matrix is a real number.

Proof

Let n∈Nn\in\mathbb{N}. Then n∈N0n\in\mathbb{N}_{0}, by Natural Numbers as Indices: ℕ ⊆ ℕ₀, 1 ∈ ℕ₀, and the Two Readings of an Operation from 1 to n §naturals, and Permutations of a Set and the Set of Permutations of [n] applies to nn.

Clause permutation-map. Let σ∈Sn\sigma\in S_{n}. Since σ\sigma is an element of the class SnS_{n}, σ\sigma is a set by Classes, Membership, Sets and Proper Classes §set. Hence Permutations of a Set and the Set of Permutations of [n] §membership applies to u=σu=\sigma and gives that σ\sigma is a bijection σ:[n]→[n]\sigma:[n]\to[n]. By Injective, Surjective and Bijective Functions between Classes §bijective, bijectivity is defined for a map F:A→BF:A\to B between classes, in the sense of Functions, Values of a Function, and Functions from One Class to Another §map; so a bijection from [n][n] to [n][n] is in particular a map from [n][n] to [n][n], and σ:[n]→[n]\sigma:[n]\to[n] is a map.

Clause determinant-value. Let A∈Mn(R)A\in\mathcal{M}_{n}(\mathbb{R}). By Determinant of a Real Square Matrix §determinant, det⁡:Mn(R)→R\det:\mathcal{M}_{n}(\mathbb{R})\to\mathbb{R} is the map DnD_{n} of The Determinant Map and the Matrices Formed from a Square Matrix by Reindexing Rows, Replacing a Row and Deleting a Row and a Column Exist and Are Unique §determinant, and det⁡A\det A is its value Dn(A)D_{n}(A) at AA. So Values, Restriction and Equality of a Map, and the Map u↦t(u)u\mapsto t(u) as a Defined Set Symbol §graph, applied to the map Dn:Mn(R)→RD_{n}:\mathcal{M}_{n}(\mathbb{R})\to\mathbb{R} between the sets Mn(R)\mathcal{M}_{n}(\mathbb{R}) and R\mathbb{R} (Real Matrices: the Set of Real m x n Matrices with Their Entrywise Operations §matrices, The Real Numbers §reals) and the point A∈Mn(R)A\in\mathcal{M}_{n}(\mathbb{R}), gives Dn(A)∈RD_{n}(A)\in\mathbb{R}, that is, det⁡A∈R\det A\in\mathbb{R}.

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