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Chain sum product and composition rules for Banach derivatives
Statement
Let be open in a real Banach space , and let , , be real Banach spaces. Then:
- Sum rule. If are Fréchet differentiable at and , then is Fréchet differentiable at with .
- Bounded-bilinear product rule. If and are Fréchet differentiable at , and is bounded bilinear, then is Fréchet differentiable at and
- Chain rule. If is Fréchet differentiable at , if is an open set with , and if is Fréchet differentiable at , then is Fréchet differentiable at and
No continuity of any derivative map is assumed; these are pointwise statements about one at a time.
Facts & Assumptions
Given: An open in a real Banach space , real Banach spaces , and . The three claims have separate map data:
- For claim 1, are differentiable at and .
- For claim 2, and are differentiable at , and is bounded bilinear with a constant as in [L3].
- For claim 3, is differentiable at , is open with , and is differentiable at .
The symbols are local to their respective claims. Throughout the proof, source increments satisfy ; in claim 3 this guarantees .
Fréchet differentiability at with derivative means that for every real there is a real such that for every with and (Fréchet derivative between Banach spaces).
The norm satisfies the triangle inequality , absolute homogeneity , and separation (A norm on a real vector space, the induced metric, and the dictionary with the metric axioms).
A bounded bilinear map has a real constant with for all , and is jointly continuous (A bounded bilinear map between normed spaces, For a bilinear map, boundedness is equivalent to joint continuity).
Linear combinations of bounded linear operators with a common source and target are bounded linear. A composite of bounded linear operators is bounded linear, and ; the operator norm satisfies (Composition satisfies , The operator norm as the least bound and as the unit-sphere or unit-ball supremum, The spaces and of bounded linear operators).
If two bounded linear operators satisfy the Fréchet remainder condition for the same map at the same point, they are equal (The Fréchet derivative is unique).
Proof
For claim 1, write , a bounded linear operator by [L4], and , which equals with . Then for , and both terms tend to by [L1]; hence is differentiable at with derivative , which is claim 1.
For claim 2 define for . Since , are linear and is bilinear, is linear, and by [L3] and [L4], so is a bounded linear operator .
For claim 3 let and , write , for with , and . Put ; then identically in . Given a real , apply [L1] for at with to get with for , and apply [L1] for at with and with to get a single such that for both and hold (take the smaller of the two thresholds). Then for one has and , so . Hence the bounded linear operator of [L4] satisfies the remainder condition for at , and by [L5] it is the derivative, which is claim 3.
For claim 2 put , , so that and with remainders as in [L1]. By bilinearity, expanding gives because and likewise in the second variable, while the cross term is .
For small, [L1] with gives and . Combining this with [step 2.1] and [L3], Dividing by for and letting , every term tends to by [L1], so the left-hand side is and the bounded linear operator of [step 1.2] satisfies the remainder condition for at ; by [L5] it is the derivative, which is claim 2.
Claim 1 is [step 1.1], claim 2 is [step 3.1], and claim 3 is [step 1.3]; this is exactly the conjunction stated.
Depends on
- Fréchet derivative between Banach spaces
- The Fréchet derivative is unique
- A bounded bilinear map between normed spaces
- For a bilinear map, boundedness is equivalent to joint continuity
- Composition satisfies $\|ST\|\le\|S\|\,\|T\|$
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- The operator norm as the least bound and as the unit-sphere or unit-ball supremum
- The spaces $\mathcal B(X,Y)$ and $\mathcal B(X)$ of bounded linear operators
Used by
- Countable base Banach manifold and smooth map Definition
- Smooth Banach vector bundle and section Definition
- Tangent space and differential on a Banach manifold Definition
- Backpropagation through a two-layer network with a shared weight Example
- Checkpointed reverse sweep recomputes an intermediate Example
- The Banach inverse theorem for a small Lipschitz perturbation of the identity Example
- The derivative of a bounded bilinear map Example
- Too few sweeps lower the order from Gauss collocation Example
- A finite straight-line C2 program defines a C2 map on each fixed branch Lemma
- A Gaussian collocation defect has a high-order weighted endpoint bound Lemma
- A shrinking clamped-stream correction on the square Lemma
- A twice differentiable local minimiser has nonnegative second variation Lemma
- Banach manifold differentials are chart independent Lemma
- Banach mean value estimate on a convex set Lemma
- Collocation polynomial derivatives scale with the step size Lemma
- Differentiated explicit RK stages give local C1 order Lemma
- Local finite-dimensional reduction for a Fredholm map Lemma
- Modified Patankar Euler has a uniform first-order defect and one-step bound on positive tubes Lemma
- MPRK22(1) has a uniform second-order defect and one-step bound on positive tubes Lemma
- Regular constraint directions are realised by level-set curves Lemma
- Second derivative formula for a composed cycle map Lemma
- Symbolic derivative recursion for a rational expression DAG is correct Lemma
- The differential annihilates the tangent kernel at a constrained extremum Lemma
- The tangent space of a regular level set is the kernel of the constraint derivative Lemma
- One-node Gauss collocation is implicit midpoint of order two Proposition
- Sufficient explicit Runge–Kutta order conditions through order four Proposition
- A parabolic adjoint gives the gradient when the state map is differentiable Theorem
- A split surjective derivative parametrises its level set Theorem
- A transverse Banach bundle section has a split zero submanifold Theorem
- Delete-one jackknife linearization for smooth functions of a mean Theorem
- Discounted episodic policy gradients from trajectory likelihoods Theorem
- Forward-over-reverse mode computes the Hessian-vector product Theorem
- Implicit function theorem for Banach spaces Theorem
- Inverse function theorem for Banach spaces Theorem
- M-node collocation has local defect order M Theorem
- Regular value theorem for Banach manifolds Theorem
- The elliptic adjoint gives the reduced parameter gradient Theorem
- The factorized zero-state step is well-defined, nonnegative, conservative, and locally first order Theorem
- The score-matching integration-by-parts identity Theorem
- Undamped nonlinear RKC2 has fixed-stage order two on an admitted tube Theorem
Dependency tree · two levels
28 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
- Zuoqin Wang, Lecture 6 — §§2.1.1–2.1.4 (standard reference, not scraped)