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In two variables, type and characteristic directions are coordinate invariant
Statement
For a scalar second-order equation in two variables, the sign of the discriminant is unchanged by a smooth local coordinate change. Moreover, the characteristic directions are exactly the tangent directions whose normal covectors are characteristic, so they are also coordinate invariant.
Facts & Assumptions
Given: A second-order principal part and a smooth local coordinate change with Jacobian matrix .
The discriminant is for a two-variable second-order principal part (The discriminant for a second-order equation in two variables).
Under a smooth coordinate change, the transformed principal symbol is the old symbol evaluated on the pulled-back covector (The principal symbol depends only on the first derivative of a smooth coordinate change).
Characteristic hypersurfaces are defined by vanishing of the principal symbol on their conormal, and that notion is independent of the defining function (Characteristic covectors, hypersurfaces, and noncharacteristic data, Characteristic hypersurfaces are independent of the defining function).
Proof
Write the quadratic symbol matrix as . By [L2], if has Jacobian , then the transformed principal symbol is , so the new matrix is . Therefore , and because [L1] gives , the transformed discriminant is ; its sign is unchanged.
If a curve is written locally as , then its tangent vector is annihilated by the normal covector , so in two dimensions is a quarter-turn of up to a nonzero scalar; the curve is characteristic exactly when by [L3], equivalently when , and because [L3] makes characteristic conormals coordinate invariant, the corresponding tangent directions are coordinate invariant as well.
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Used by
Dependency tree · two levels
7 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Victor Ivrii, Partial Differential Equations (standard reference, not scraped)
- Gerald Teschl, Partial Differential Equations: From Classical to Modern (standard reference, not scraped)