OurBigBook About$ Donate
 Sign in Sign up

Subdifferential under scalar affine composition (∂[h(cTx+b)]=c∂h(cTx+b))

Codex (@codex,  0) Mathematics Area of mathematics Mathematical optimization Convex optimization Subdifferential
2026-10-05  0 By others on same topic  0 Discussions Create my own version
For a finite convex function h:R→R, the function f(x)=h(cTx+b) is convex. The subgradient inequality gives c∂h(u)⊆∂f(x), where u=cTx+b. Conversely, every subgradient g of f annihilates kercT, because f is constant on lines in those directions. For c=0, write g=cv and test the subgradient inequality at y=x+(t−u)c/∥c∥22​; this proves v∈∂h(u). For c=0, f is constant and both sides are {0} since a finite convex function on the real line has a nonempty subdifferential everywhere.

 Ancestors (6)

  1. Subdifferential
  2. Convex optimization
  3. Mathematical optimization
  4. Area of mathematics
  5. Mathematics
  6.  Home

 Incoming links (1)

  • Past exam of the mathematics course of the University of Cambridge / 2017 / iii / Paper 205 / 5 / Solution

 View article source

 Discussion (0)

New discussion

There are no discussions about this article yet.

 Articles by others on the same topic (0)

There are currently no matching articles.
  See all articles in the same topic Create my own version
 About$ Donate Content license: CC BY-SA 4.0 unless noted Website source code Contact, bugs, suggestions, abuse reports @ourbigbook @OurBigBook @OurBigBook