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Positively oriented bases of an oriented vector space are path-connected
Statement
Let be a finite-dimensional real vector space with an orientation (Orientation of a finite-dimensional real vector space). The set of positively oriented bases of , with the topology it inherits from the linear isomorphisms , is path-connected; indeed any two positively oriented bases are joined by a smooth path of positively oriented bases, equivalently is smoothly path-connected for every (Invertible matrices and the general linear group , Paths, path-connected spaces and path components). In particular, for the oriented vector space with its standard orientation, any two positive bases at can be joined by a continuous path of positive bases.
Facts & Assumptions
Given: An oriented finite-dimensional real vector space of dimension , and the group of invertible real matrices of positive determinant.
Fixing one positively oriented basis of , the map is a bijection from (invertible endomorphisms of positive determinant) onto the set of positively oriented bases of , with inverse given by the coordinate matrix in the basis ; the determinant of the coordinate matrix detects positivity of the orientation (Orientation of a finite-dimensional real vector space, Invertible matrices and the general linear group ).
Every invertible matrix is a finite product of elementary matrices, of three types: interchanges , row scalings with , and row additions ; the identity is the empty product (Elementary matrices obtained by applying one elementary row operation to an identity matrix, Every invertible finite square real matrix is a finite product of elementary matrices).
For distinct indices and , let be the matrix that is the identity off the plane and equals in the ordered basis . Its determinant is , so is invertible for every ; its entries are smooth in by The derivatives of sine and cosine are cosine and minus sine (repeated differentiation alternates sine and cosine); and while sends , and fixes the other standard basis vectors, so (Parity and the Pythagorean identity for sine and cosine, Sine and cosine are -Lipschitz on , Rectangular matrix multiplication and the identity matrix , including zero-sized shapes).
The determinant is multiplicative and vanishes exactly on non-invertible matrices; a continuous real function on with no zero and a positive value at one point is positive everywhere (For same-sized finite square matrices over a commutative ring, , An invertible square matrix over a commutative ring has unit determinant, Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and ).
A path in a topological space is a continuous map from ; the set of positive bases carries the subspace topology transferred by the bijection of [F1], so a continuous family of matrices gives a continuous family of bases (Paths, path-connected spaces and path components).
The standard smooth step function is smooth, equals on and on ; hence for smooth paths , with the formula for and for is a smooth path, with all positive-order derivatives vanishing at the junction (The standard smooth step function).
Proof
(Reduction to matrices.) Fix a positively oriented basis of . By [F1] the map is a bijection whose inverse sends a basis to its coordinate matrix; a family of bases is continuous exactly when its matrix entries in are continuous. Choosing coordinates in identifies with , so it suffices to prove that is path-connected.
(Deforming a factorisation to a diagonal sign matrix.) Let and, by [F2], write with each elementary. Replace each factor by a continuous path , , of invertible matrices with : for use , for with use , for with use , and for use , which starts at by [F3] and ends at ; the endpoint is , , or respectively, all diagonal with entries . Every is invertible: a transvection has determinant one, the scaling paths have a diagonal entry that is a convex combination of the two nonzero numbers and (respectively and ) and so never vanishes, and the fourth path is a product of invertible matrices. Define . Then is invertible for every , , and is a product of matrices each of which is or some , hence a diagonal matrix with entries . Since is continuous, never zero by invertibility, and positive at , [F4] gives for all : so is joined to by a path in .
(From the diagonal sign matrix to the identity.) The diagonal matrix has , so the number of its entries equal to is even. Pair the indices carrying ; for each pair, the matrix that is on and elsewhere is realised by the block at parameter , which equals on that plane at , the identity at , and has determinant throughout by [F3]. Doing this independently on the finitely many disjoint pairs and leaving the remaining coordinates fixed gives a continuous path of invertible matrices with , . Because is orthogonal of determinant , this path lies in ; concatenating it with the smooth path of step 2.1 by the smooth reparametrisation of [F6] yields a smooth path in from to .
(Conclusion.) Every is joined to by a smooth path, and reversing paths joins any two elements of smoothly; hence is smoothly path-connected. By step 1.1 the set of positively oriented bases of is connected by smooth paths of positive bases; applied to the oriented vector space it gives the asserted smooth path of positive bases at . The case is the one-point space . Every ingredient is an explicit formula, and the factorisation is a fixed finite one produced by the elimination theorem, so no choice principle is used.
Depends on
- The derivatives of sine and cosine are cosine and minus sine
- Invertible matrices and the general linear group $\operatorname{GL}_n(F)$
- Every invertible finite square real matrix is a finite product of elementary matrices
- Elementary matrices obtained by applying one elementary row operation to an identity matrix
- Orientation of a finite-dimensional real vector space
- Paths, path-connected spaces and path components
- Rectangular matrix multiplication and the identity matrix $I_n$, including zero-sized shapes
- For same-sized finite square matrices over a commutative ring, $\det(AB)=\det(A)\det(B)$
- The determinant of a triangular matrix is the product of its diagonal entries
- An invertible square matrix over a commutative ring has unit determinant
- Parity and the Pythagorean identity for sine and cosine
- Sine and cosine are $1$-Lipschitz on $\mathbb{R}$
- Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on $[a,b]$ takes every value between $f(a)$ and $f(b)$
- The standard smooth step function
Used by
- A homology cobordism need not be an h-cobordism Counterexample
- The frame bundle of a smooth manifold Definition
- Oppositely framed points cancel in pairs Lemma
- The components of the frame bundle of a connected manifold Lemma
- The framed preimage class is independent of regular value and positive basis Lemma
- Framed zero-dimensional bordism in a nonorientable manifold is mod two Theorem
- Framed zero-dimensional bordism in an oriented manifold is the integers Theorem
Dependency tree · two levels
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Sources
- John Milnor, Topology from the Differentiable Viewpoint (standard reference, not scraped)
- Daniel S. Freed, Bordism: Old and New (lecture notes, UT Austin, Fall 2012) (standard reference, not scraped)
- Sheldon Axler, Linear Algebra Done Right, 4th ed. (standard reference, not scraped)