A GALERKIN-TYPE METHOD FOR SOLUTIONS OF PANTOGRAPH-TYPE VOLTERRA-FREDHOLM INTEGRO-DIFFERENTIAL EQUATIONS WITH FUNCTIONAL UPPER LIMIT


YÜZBAŞI Ş., KARAÇAYIR M.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, cilt.38, sa.2, ss.995-1005, 2020 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 2
  • Basım Tarihi: 2020
  • Dergi Adı: SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
  • Sayfa Sayıları: ss.995-1005
  • Anahtar Kelimeler: Volterra-Fredholm integro-differential equations, pantograph-type integro-differential equations, Galerkin type method, numerical solutions, error estimation, residual correction, ERROR ESTIMATION, KIND
  • Akdeniz Üniversitesi Adresli: Evet

Özet

In this study, we present a Galerkin-type method for obtaining approximate solutions of linear Volterra-Fredholm delay integro-differential equations with a functional upper limit under mixed conditions. The method gives an approximate solution of the problem in power series form truncated after a certain term. Using an integer value N as the truncation point and making use of the matrix representations of a polynomial and its derivatives, we obtain the matrix form of the problem expressed in terms of the approximate solution polynomial. By applying inner product to these relations with monomials up to degree N and incorporating the mixed conditions, the problem is reduced to a system of linear algebraic equations. The approximate solution of the problem is then determined from this linear system. In addition, we discuss a way of improving an obtained approximate solution by means of its estimated error function. The presented scheme has the advantages of (1) being applicable to a wide range of problems including pantograph-type equations with or without Fredholm and Volterra integral terms, and (2) giving accurate results as demonstrated by applications to example problems taken from existing studies.