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Passive Approximation and Optimization Using B-Splines

Ivanenko, Yevhen (author)
Linnaeus University,Linnéuniversitetet,Institutionen för fysik och elektroteknik (IFE),Linnaeus Univ, Dept Phys & Elect Engn, S-35195 Växjö, Sweden.
Gustafsson, Mats (author)
Lund University,Lunds universitet,Teoretisk elektroteknik,Forskargrupper vid Lunds universitet,Electromagnetic Theory,Lund University Research Groups
Jonsson, B. Lars G. (author)
KTH Royal Institute of Technology,KTH,Skolan för elektroteknik och datavetenskap (EECS),KTH Royal Instute of Technology, Sweden
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Luger, Annemarie (author)
Stockholm University,Stockholms universitet,Matematiska institutionen
Nilsson, Börje, 1949- (author)
Linnaeus University,Linnéuniversitetet,Institutionen för matematik (MA),Linnaeus Univ, Dept Math, S-35195 Växjö, Sweden.
Nordebo, Sven, 1963- (author)
Linnaeus University,Linnéuniversitetet,Institutionen för fysik och elektroteknik (IFE),Linnaeus Univ, Dept Phys & Elect Engn, S-35195 Växjö, Sweden.
Toft, Joachim, 1964- (author)
Linnaeus University,Linnéuniversitetet,Institutionen för matematik (MA),Linnaeus Univ, Dept Math, S-35195 Växjö, Sweden.
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 (creator_code:org_t)
SIAM PUBLICATIONS, 2019
2019
English.
In: SIAM Journal on Applied Mathematics. - : SIAM PUBLICATIONS. - 0036-1399 .- 1095-712X. ; 79:1, s. 436-458
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • A passive approximation problem is formulated where the target function is an arbitrary complex-valued continuous function defined on an approximation domain consisting of a finite union of closed and bounded intervals on the real axis. The norm used is a weighted L-p-norm where 1 <= p <= infinity. The approximating functions are Herglotz functions generated by a measure with Holder continuous density in an arbitrary neighborhood of the approximation domain. Hence, the imaginary and the real parts of the approximating functions are Holder continuous functions given by the density of the measure and its Hilbert transform, respectively. In practice, it is useful to employ finite B-spline expansions to represent the generating measure. The corresponding approximation problem can then be posed as a finite-dimensional convex optimization problem which is amenable for numerical solution. A constructive proof is given here showing that the convex cone of approximating functions generated by finite uniform B-spline expansions of fixed arbitrary order (linear, quadratic, cubic, etc.) is dense in the convex cone of Herglotz functions which are locally Holder continuous in a neighborhood of the approximation domain, as mentioned above. As an illustration, typical physical application examples are included regarding the passive approximation and optimization of a linear system having metamaterial characteristics, as well as passive realization of optimal absorption of a dielectric small sphere over a finite bandwidth.

Subject headings

NATURVETENSKAP  -- Matematik (hsv//swe)
NATURAL SCIENCES  -- Mathematics (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)
NATURVETENSKAP  -- Matematik -- Matematisk analys (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Mathematical Analysis (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Keyword

approximation
Herglotz functions
B-splines
passive systems
convex optimization
sum rules
Tillämpad matematik
Applied Mathematics
Approximation
B-splines
Convex optimization
Herglotz functions
Passive systems
Sum rules

Publication and Content Type

ref (subject category)
art (subject category)

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