activity
20182022
most citedOn characteristic invariants of matrix pencils and linear relations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

math.SP20221 cited

On characteristic invariants of matrix pencils and linear relations

Hannes Gernandt, Francisco Martínez Pería, Friedrich Philipp +1

The relationship between linear relations and matrix pencils is investigated. Given a linear relation, we introduce its Weyr characteristic. If the linear relation is the range (or…

math.SP2021

The spectrum and the Weyr characteristics of operator pencils and linear relations

Hannes Gernandt, Carsten Trunk

The relation between the spectra of operator pencils with unbounded coefficients and of associated linear relations is investigated. It turns out that various types of spectrum coi…

math.OC2021

On the stability of port-Hamiltonian descriptor systems

Hannes Gernandt, Frédéric E. Haller

We characterize stable differential-algebraic equations (DAEs) using a generalized Lyapunov inequality. The solution of this inequality is then used to rewrite stable DAEs as dissi…

math.FA2020

A linear relation approach to port-Hamiltonian differential-algebraic equations

Hannes Gernandt, Frédéric Enrico Haller, Timo Reis

We consider linear port-Hamiltonian differential-algebraic equations (pH-DAEs). Inspired by the geometric approach of Maschke and van der Schaft and the linear algebraic approach o…

math.OC2020

Port-Hamiltonian formulation of nonlinear electrical circuits

Hannes Gernandt, Frédéric Haller, Timo Reis Arjan van der Schaft

We consider nonlinear electrical circuits for which we derive a port-Hamiltonian formulation. After recalling a framework for nonlinear port-Hamiltonian systems, we model each circ…

math-ph2020

A Calderón type inverse problem for tree graphs

Hannes Gernandt, Jonathan Rohleder

We study the inverse problem of recovering a tree graph together with the weights on its edges (equivalently a metric tree) from the knowledge of the Dirichlet-to-Neumann matrix as…