On the generalization of Wiarda's method of solution of non-linear functional equations

Josef Kolomý

Displaying similar documents to “On the generalization of Wiarda's method of solution of non-linear functional equations”

On some boundary value problems for nonlinear fourth order ordinary differential equations

Michal Čverčko (1975)

Časopis pro pěstování matematiky

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Oscillatory and asymptotic behaviour of perturbed quasilinear second order difference equations

Ethiraju Thandapani, L. Ramuppillai (1998)

Archivum Mathematicum

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This paper deals with oscillatory and asymptotic behaviour of solutions of second order quasilinear difference equation of the form $Δ (a_{n - 1} | Δ y_{n - 1} |^{α - 1} Δ y_{n - 1}) + F (n, y_{n}) = G (n, y_{n}, Δ y_{n}), n \in N (n_{0}) (E)$ where $α > 0$ . Some sufficient conditions for all solutions of (E) to be oscillatory are obtained. Asymptotic behaviour of nonoscillatory solutions of (E) are also considered.

Boundedness and global attractivity of a higher-order nonlinear difference equation.

Jia, Xiu-Mei, Li, Wan-Tong (2010)

Discrete Dynamics in Nature and Society

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e-isometric approximation problem.

Ma, Yumei (2003)

Acta Mathematica Academiae Paedagogicae Nyí regyháziensis. New Series [electronic only]

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Existence theorem for the difference equation $Y_{n + 1} - 2 Y_{n} + Y_{n - 1} = h^{2} f (y_{n})$ .

Weil, F. (1980)

International Journal of Mathematics and Mathematical Sciences

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Displaying similar documents to “On the generalization of Wiarda's method of solution of non-linear functional equations”

On some boundary value problems for nonlinear fourth order ordinary differential equations

Oscillatory and asymptotic behaviour of perturbed quasilinear second order difference equations

Boundedness and global attractivity of a higher-order nonlinear difference equation.

e-isometric approximation problem.

Existence theorem for the difference equation Y n + 1 - 2 Y n + Y n - 1 = h 2 f ( y n ) .

Existence theorem for the difference equation $Y_{n + 1} - 2 Y_{n} + Y_{n - 1} = h^{2} f (y_{n})$ .