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The Euclidean implicit function theorem with derivative formula
Statement
Let , let be open, and let be . Suppose , , and the partial derivative in the second block
is invertible. Put similarly . Then there are open neighbourhoods of and of , and a unique map , such that
After shrinking if necessary, is invertible and
Facts & Assumptions
Given: The dimensions, map, base point, zero equation, and invertible second-block derivative in the statement.
A map with invertible derivative has a local inverse , with throughout its inverse neighbourhood (The Euclidean inverse function theorem).
Total differentiability is a linear approximation with an remainder, and total derivatives obey the algebra and chain rules (The total (Fréchet) derivative as the linear first-order approximation with remainder, Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives, The chain rule for total derivatives: ).
Euclidean linear maps have their finite matrix descriptions (Every Euclidean linear map has a unique matrix and satisfies for some ), and invertibility means having a two-sided linear inverse (Invertible Euclidean linear maps).
Proof
Define by . From [L2], the remainder after the linear map is , so is differentiable with Its matrix entries are continuous because those of are, so is . If , the displayed derivative at has the two-sided inverse . Thus is invertible.
Apply [L1] to . It has a inverse between neighbourhoods of and . Because the first component of is , the identity forces . Define after shrinking to product neighbourhoods .
For , the local injectivity of gives . This proves existence and local uniqueness; is as a component of .
Differentiate . By [L2], . For , the derivative formula in [L1] makes invertible. The block formula of step 1.1 then makes invertible: solving gives and . Multiplication by its inverse yields the asserted formula.
Steps 1.1--4.1 prove all local existence, uniqueness, regularity, and derivative claims.
Depends on
- Continuously differentiable maps, local inverses, and local diffeomorphisms
- Invertible Euclidean linear maps
- The total (Fréchet) derivative $Df(a)$ as the linear first-order approximation with $o(\|h\|_2)$ remainder
- The Euclidean inverse function theorem
- Sums and scalar multiples of totally differentiable maps are totally differentiable with the expected derivatives
- The chain rule for total derivatives: $D(g\circ f)(a)=Dg(f(a))\circ Df(a)$
- Every Euclidean linear map has a unique matrix and satisfies $\|Lh\|_2\le K\|h\|_2$ for some $K\ge0$
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 105 results over 22 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- J. Lebl, Basic Analysis II, Theorem 8.5.6 (standard reference, not scraped)