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Compactly Supported Metric Directions Stay Lorentzian for Small Amplitude
Statement
Let be a smooth ten-manifold and a smooth Lorentzian metric of signature , meaning inertia . If is any smooth symmetric covariant -tensor with compact support, there is such that is Lorentzian with the same signature for every . Consequently, every smooth compactly supported symmetric inverse-metric direction is realized by a smooth family of Lorentzian metrics with .
Facts & Assumptions
Given: The smooth ten-dimensional Lorentzian metric , its signature , and the compactly supported smooth symmetric tensor , or the inverse-metric direction .
A symmetric form of inertia is congruent to a diagonal normal form with nine positive entries, one negative entry, and no zero entries (Sylvester's law of inertia: every real symmetric form is congruent to , and is unique, Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form).
Every ambient open cover of a compact subset has a finite subcover (A subspace is compact exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it).
For a square real matrix , , the determinant is the finite Leibniz sum of signed products of matrix entries, and the entries of the adjugate are signed determinants of deleted-row-and-column minors. When , this real number is a unit of , with reciprocal , so the adjugate formula gives (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix, Deleted-row-and-column minors, cofactors, the cofactor matrix and the adjugate over a commutative ring, If is a unit, then ).
On an open subset of , the smoothness convention requires every finite ordered coordinate partial derivative to exist and be jointly continuous, including the word of length zero ( maps and multi-index derivative notation in Euclidean space).
On an open real coordinate interval, differentiable functions obey the sum and product rules and the quotient rule wherever the denominator is nonzero (Sums, scalar multiples, products and quotients: , , , and when ). This is used only for derivatives along one coordinate line; joint continuity is proved directly below.
Proof
By [F1], any Lorentzian form on a ten-dimensional vector space has a basis with matrix . Let a symmetric form in this basis have matrix , where . For in the positive coordinate subspace, . Also . Thus the form is positive on a 9-dimensional subspace and negative on the line spanned by . By [F1], write its inertia normal form as , where . Projection from to the positive coordinates is injective: a nonzero vector in its kernel would have quadratic value at most zero, contrary to positivity on ; hence . Projection from the negative line to the negative coordinates is also injective, since a vector supported only in positive and zero coordinates has nonnegative quadratic value; hence . Therefore . This proves that the Lorentzian forms form an open subset of the symmetric matrices near . An invertible change of basis acts by an invertible linear congruence map on the space of symmetric matrices, so this open-set conclusion holds near every Lorentzian matrix in every basis.
We first prove the required algebra on an arbitrary open , with continuity understood jointly in all coordinates. If are continuous at , write and . For any , their joint continuity gives one neighborhood where and . On this neighborhood, ; if , then . Choosing small proves joint continuity of sums and products. If , additionally require , so and ; this proves joint continuity of the reciprocal on its nonzero domain, and products give quotients. These arguments use neighborhoods in , not separate continuity along lines. For smooth inputs, restrict to an open interval in one coordinate direction and apply [F6]. Induction on the length of an ordered derivative word writes every derivative of a finite sum or product as a finite sum of products of input derivatives. For a nowhere-zero smooth , the formula and the same induction write every derivative of as a finite sum of products of derivatives of divided by positive integer powers of . Each such expression is jointly continuous by [F5] and the joint-continuity estimates just proved. Thus finite sums, products, and quotients with nonvanishing smooth denominators are smooth on in the exact ordered-partial sense of [F5].
Let . If , then for every . Otherwise define to be the set of all tuples such that , is a smooth chart with , , the maximum-entry ball of radius around the coordinate matrix consists of Lorentzian forms, and throughout one has and . Step 1.1 and continuity imply that for every at least one such tuple exists. Thus the chart neighborhoods occurring in form an open cover of ; this is the family of all admissible tuples, not a pointwise choice function. By [F3] there is a finite subcover with tuples , . Set . If and , then , so is Lorentzian in that chart. These neighborhoods cover , and off the metric is unchanged.
Given compactly supported smooth symmetric , set ; step 1.2 in a manifold chart makes this tensor smooth, and it is symmetric and compactly supported. By step 2.1, is Lorentzian for small . On an open parameter-chart domain , the functions and lift smoothly: their ordered derivatives are pulled back by the continuous coordinate projection, and any derivative in is zero. The coordinate function is smooth, so step 1.2 makes every entry of jointly smooth. By [F4], its determinant and adjugate entries are finite polynomials in these entries and hence smooth by step 1.2. Lorentzian nondegeneracy gives throughout , so that same result makes jointly smooth. Differentiate in at zero using [F6] to obtain . This is the required smooth Lorentzian family.
Depends on
Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form
Sylvester's law of inertia: every real symmetric form is congruent to , and is unique
Smooth manifolds and their smooth charts
maps and multi-index derivative notation in Euclidean space
A subspace is compact exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it
If is a unit, then
For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix
Deleted-row-and-column minors, cofactors, the cofactor matrix and the adjugate over a commutative ring
Sums, scalar multiples, products and quotients: , , , and when