The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

Evolution equations governed by Lipschitz continuous non-autonomous forms

Ahmed SaniHafida Laasri — 2015

Czechoslovak Mathematical Journal

We prove L 2 u ˙ ( t ) + A ( t ) u ( t ) = f ( t ) for a.e. t [ 0 , T ] , u ( 0 ) = u 0 , where the operator A ( t ) arises from a time depending sesquilinear form 𝔞 ( t , · , · ) on a Hilbert space H with constant domain V . We prove the maximal regularity in H when these forms are time Lipschitz continuous. We proceed by approximating the problem using the frozen coefficient method developed by El-Mennaoui, Keyantuo, Laasri (2011), El-Mennaoui, Laasri (2013), and Laasri (2012). As a consequence, we obtain an invariance criterion for convex and closed sets of...

Stability for non-autonomous linear evolution equations with L p -maximal regularity

Hafida LaasriOmar El-Mennaoui — 2013

Czechoslovak Mathematical Journal

We study stability and integrability of linear non-autonomous evolutionary Cauchy-problem ( P ) u ˙ ( t ) + A ( t ) u ( t ) = f ( t ) t -a.e. on [ 0 , τ ] , u ( 0 ) = 0 , where A : [ 0 , τ ] ( X , D ) is a bounded and strongly measurable function and X , D are Banach spaces such that D d X . Our main concern is to characterize L p -maximal regularity and to give an explicit approximation of the problem (P).

Page 1

Download Results (CSV)