Open MathsAll courses

Smooth quadratic coordinates and their Jacobian

These are the complete M1–M2 arguments from the AN-04 programme reading A smooth quadratic reduction with parameters, together with its P4–P5 algebraic arguments. The finite algebra foundation, §10, proves dimension, determinant multiplication and inverse identities. Real symmetric orthogonal diagonalization is proved in Point sources and complex Gaussian kernels, §2. In P4 and P5 below, these are the determinant and spectral inputs.

Original programme exposition by the AN-04 course contributors; CC0 1.0 Universal to the extent rights exist. The earlier programme readings retain their own credits and terms.

Mathematical references: Jiří Lebl, Basic Analysis II, version 6.3, Theorems 8.5.1 and 8.5.6 (inverse and implicit theorems); Victor Guillemin and Shlomo Sternberg, Semiclassical Analysis, 13 January 2010 author draft, §13.14.3 (author draft).

M1. Parameter Morse lemma and its Jacobian

Let and be open, and let . Suppose There are neighbourhoods of and of , a smooth critical branch , and a smooth map such that for each nearby , is a local diffeomorphism and The signs are independent of on this neighbourhood. If , then

Proof inputs. Here P3 denotes the supplied smooth inverse and implicit maps, §§16.4–16.5. The scalar calculus foundation, §§12–13, gives mixed partials, integral Taylor remainders, smooth positive roots and parameter differentiation of finite integrals. P4 and P5 are proved below. P1 denotes finite-dimensional compactness in that same scalar foundation.

For , the coordinate space is a singleton. Take , , and . The quadratic sum and signature are 0, while the empty determinant and its Jacobian factor are 1. This proves all assertions in that case. In the proof below, .

Proof: locate and translate the critical point. Apply the implicit theorem, upgraded by P3, to the smooth map . Its derivative in at is , so there is a unique smooth branch in a sufficiently small fixed product neighbourhood. Replace by and subtract . The resulting smooth function has , and an invertible Hessian for every nearby . The last assertion follows by continuity of the determinant and its nonzero value at .

Choose a nonzero scalar pivot. A nonzero symmetric matrix has a vector with nonzero quadratic value. To verify this without assuming a normal form, if a diagonal entry is nonzero, use its coordinate vector. If every diagonal entry is zero, some off-diagonal entry is nonzero, and . Make a fixed invertible linear change of variables taking that vector to the first coordinate direction. Such a change can be constructed by adjoining all coordinate vectors except one in which the chosen vector has a nonzero component; expansion of the resulting matrix in that row gives a nonzero determinant. This change is fixed at , so it is smooth in the parameters. After shrinking the neighbourhood, stays nonzero with one fixed sign.

Eliminate one variable. Write . P3 applied to gives a smooth function for which . Since is critical and the solution is locally unique, . Put . With , the integral Taylor formula proved in P12.6 gives Shrink the product neighbourhood so that and lie in a smaller coordinate interval whose closure stays inside the phase domain, with the other coordinates fixed. The whole segment between them then stays in that interval. Specifically apply P12.6 to the function on . Its first derivative at 0 is zero and its second derivative is . This proves (M1.3) for every sign of , including zero. The parameter integration is over a fixed compact interval, so P12.7 proves that is jointly smooth. No global improper-integral input from Q1 is needed for this step. At , .

Shrink once more so that is nonzero throughout the neighbourhood with a single sign . Define Its -derivative at is . Apply P3 to the map : its derivative is block triangular, with this nonzero entry and identity blocks, hence invertible. We obtain a smooth local inverse, jointly in . In these coordinates, In particular the residual function is independent of .

Induct with an invertible residual Hessian. The function has , and its first derivative vanishes at zero: differentiating the composite contributes only first derivatives of there. P4 computes its Hessian as the Schur complement of the chosen scalar pivot. That complement is invertible because the original Hessian is invertible. For , (M1.4) already completes the construction. For , apply the same construction to , in variables and with the same parameters. Finite induction yields a signed quadratic form in all coordinates. At each of the finitely many steps, the nonzero pivot and the inverse map persist on an open neighbourhood of the relevant base point. Take preimages of these neighbourhoods under the preceding continuous coordinate maps, so they are neighbourhoods of the same original base point. Their finite intersection is still a neighbourhood; choose smaller product neighbourhoods inside it. Composing the inverse coordinate maps and the initial translation gives the smooth map in (M1.1).

Identify its signature and volume factor. Differentiate (M1.1) twice in at zero. Terms containing second derivatives of are multiplied by , so the chain rule reduces to P5 gives both the signature identity and the determinant identity in (M1.2). This also proves local constancy of the Hessian signature for this critical family; it has not been assumed as an unproved spectral-continuity assertion.

M2. The precise compact-parameter consequence

Suppose a smooth critical branch is defined on an open neighbourhood of a compact parameter set , and its Hessian is invertible on . For each point of , M1 supplies a local parameter neighbourhood and a signed Morse chart. Before selecting the cover, choose around each parameter point a smaller open parameter neighbourhood with compact closure in its chart domain, and a smaller coordinate ball with compact closure in the coordinate domain. These smaller parameter neighbourhoods still cover . P1 and the earlier compactness proofs supply a finite subcover. On each selected product closure, every fixed finite list of derivatives of the coordinate map is bounded by the earlier extreme-value theorem. Its image under is compact, by the proved continuous-image theorem, and is contained in the inverse map's open domain. Derivatives of the inverse are bounded on that compact image by the same extreme-value theorem. The largest of finitely many bounds is finite.

Thus later stationary-phase estimates can be proved in finitely many local charts with uniform finite constants. This conclusion does not assert a single global signed frame, nor a uniform coordinate size for a collection of phases whose Hessians approach singularity. It also does not itself construct the partition of unity or identify the clean quotient density; those are additional steps in the full lesson.

P4. The Schur-complement step in the parameter Morse proof

Statement. Let be smooth, with a critical point at for each nearby , and suppose . Write its Hessian at that point as Let be the local solution of , and put . Then In particular is invertible if is invertible.

Proof. Differentiate in . At the critical point this gives , proving the first identity. The first derivative of is , evaluated on this graph, because the extra factor vanishes identically there. Differentiating again and substituting the first identity gives .

For the determinant identity use the explicit invertible matrix Block multiplication proves the second formula. The permutation definition gives : any nonzero permutation term must pick the diagonal entry in each lower row, then the first entry in the first row. It also gives by expanding the first column. Determinant multiplication and invariance under transpose now yield . Thus if and , then , as required for the next induction step.

P5. Why congruence preserves the signature

Statement. If is real symmetric and invertible, and is invertible, then and have the same numbers of positive and negative eigenvalues. Consequently the Jacobian factor in Morse coordinates is when the target Hessian has diagonal entries .

Proof. In an orthogonal eigenbasis, suppose there are positive and negative diagonal entries. The span of the positive eigenvectors is a -dimensional subspace on which the quadratic form is positive on every nonzero vector. No larger such subspace exists: the coordinate projection would have a nonzero kernel if , by finite-dimensional linear independence. A nonzero vector in that kernel lies in the negative eigenspace and has a negative quadratic value, a contradiction. Thus is characterized without a basis as the largest possible dimension of a positive subspace. The identical argument for the negative form characterizes .

The map sends subspaces bijectively to subspaces, preserves dimension, and satisfies . It therefore preserves both maximal dimensions, proving invariance of the signature. Finally if with diagonal and entries , determinant multiplication gives . Taking absolute values, using , and then the positive square root gives .