ProofComplete

Lie Groups and Matrix Groups - Key Proof

We present a proof that SLn(R)SL_n(\mathbb{R}) is a smooth submanifold of GLn(R)GL_n(\mathbb{R}), illustrating the general technique for establishing that matrix groups defined by polynomial equations are Lie groups.

Proof

Theorem: SLn(R)={AGLn(R):det(A)=1}SL_n(\mathbb{R}) = \{A \in GL_n(\mathbb{R}) : \det(A) = 1\} is a Lie group of dimension n21n^2 - 1.

Proof:

We apply the implicit function theorem. Consider the determinant map: det:GLn(R)R\det: GL_n(\mathbb{R}) \to \mathbb{R}^* This is a smooth map, being a polynomial in the matrix entries. We want to show that SLn(R)=det1(1)SL_n(\mathbb{R}) = \det^{-1}(1) is a smooth submanifold.

Step 1: Compute the derivative of the determinant map.

For AGLn(R)A \in GL_n(\mathbb{R}), the derivative d(det)A:TAGLn(R)Rd(\det)_A: T_A GL_n(\mathbb{R}) \to \mathbb{R} can be computed using the formula: ddtt=0det(A+tB)=det(A)tr(A1B)\frac{d}{dt}\bigg|_{t=0} \det(A + tB) = \det(A) \cdot \text{tr}(A^{-1}B) for any matrix BMn(R)=TAGLn(R)B \in M_n(\mathbb{R}) = T_A GL_n(\mathbb{R}).

Step 2: Show the derivative is surjective.

At any point ASLn(R)A \in SL_n(\mathbb{R}) (where det(A)=1\det(A) = 1), we have: d(det)A(B)=tr(A1B)d(\det)_A(B) = \text{tr}(A^{-1}B)

To show this is surjective as a map to R\mathbb{R}, we need to show we can achieve any value. Taking B=AB = A gives tr(A1A)=tr(I)=n0\text{tr}(A^{-1}A) = \text{tr}(I) = n \neq 0. Thus the image contains a nonzero real number, and by linearity, the map is surjective.

Step 3: Apply the implicit function theorem.

Since 1R1 \in \mathbb{R}^* is a regular value of det\det (i.e., d(det)Ad(\det)_A is surjective for all Adet1(1)A \in \det^{-1}(1)), the preimage theorem (a consequence of the implicit function theorem) implies that SLn(R)=det1(1)SL_n(\mathbb{R}) = \det^{-1}(1) is a smooth submanifold of GLn(R)GL_n(\mathbb{R}) of codimension 1.

Step 4: Compute the dimension.

Since GLn(R)GL_n(\mathbb{R}) has dimension n2n^2 and SLn(R)SL_n(\mathbb{R}) has codimension 1, we obtain: dimSLn(R)=n21\dim SL_n(\mathbb{R}) = n^2 - 1

Step 5: Verify group operations are smooth.

The multiplication in SLn(R)SL_n(\mathbb{R}) is simply restriction of matrix multiplication from GLn(R)GL_n(\mathbb{R}), which is smooth (polynomial in entries). Similarly, inversion is smooth on GLn(R)GL_n(\mathbb{R}) by Cramer's rule, and restriction to SLn(R)SL_n(\mathbb{R}) remains smooth. Moreover, since det(AB)=det(A)det(B)\det(AB) = \det(A)\det(B) and det(A1)=(detA)1\det(A^{-1}) = (\det A)^{-1}, these operations preserve the condition det=1\det = 1.

Therefore, SLn(R)SL_n(\mathbb{R}) is a Lie group. □

Remark

This proof technique is widely applicable. Any matrix group defined as the zero set of polynomial equations (e.g., O(n)O(n) defined by ATA=IA^T A = I) can be shown to be a Lie group using similar methods, provided one verifies that the defining equations have surjective differentials (regularity condition).

Example

For O(n)O(n), we define F:GLn(R)SymnF: GL_n(\mathbb{R}) \to \text{Sym}_n (symmetric matrices) by F(A)=ATAIF(A) = A^T A - I. The derivative at AO(n)A \in O(n) is dFA(B)=ATB+BTAdF_A(B) = A^T B + B^T A. One can verify this is surjective onto the space of symmetric matrices, which has dimension n(n+1)2\frac{n(n+1)}{2}. Thus O(n)O(n) has dimension n2n(n+1)2=n(n1)2n^2 - \frac{n(n+1)}{2} = \frac{n(n-1)}{2}.

The key insight is that algebraic conditions (determinant equals 1) combined with smoothness of the defining functions naturally produce smooth manifold structures. This connection between algebra and geometry is fundamental to Lie theory.