PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 20, 2025Jurnal Matematika Statistika dan Komputasi0 citationsOpen Access

On Convergence in Norm of Functions in Lᵖ Spaces by Convolution Using Dilation Kernel

View Full Paper
EHElin Herlinawati

Key Points

  • Convergence in norm of functions in L^p spaces is achieved through convolution with a dilation kernel.
  • Using the dilation kernel as approximation identity, the study demonstrates convergence for 1≤p<∞ and p=∞.
  • The proof highlights the effectiveness of dilation kernels in establishing convergence in different norms.
  • This work may enable deeper insights into functional analysis and approximation techniques in mathematical spaces.

Abstract

In this paper, we investigate the convergence in norm of functions in Lᵖ (Rᵈ) by convolution. We use dilation kernel from L¹ as approximation identity and prove convergence of a function using convolution with dilation kernel in norm ‖∙‖ₚ for 1≤p<∞ and norm ‖∙‖_∞ for p=∞.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Elin Herlinawati (2025) studied this question.

synapsesocial.com/papers/68d46aa631b076d99fa673e7https://doi.org/10.20956/j.v22i1.44148
Ask AI
Helpful
Bookmark
Share
View Full Paper