In this paper, an analysis of the accuracy-enhancement for the discontinuous Galerkin (DG) method applied to one-dimensional scalar nonlinear hyperbolic conservation laws is carried out. This requires analyzing the divided difference of the errors for the DG solution. We therefore first prove that the α\documentclass[12pt]{minimal}
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\begin{document}$$\alpha $$\end{document}-th order (1≤α≤k+1)\documentclass[12pt]{minimal}
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\begin{document}$$(1 \le \alpha \le {k+1})$$\end{document} divided difference of the DG error in the L2\documentclass[12pt]{minimal}
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\begin{document}$$L^2$$\end{document} norm is of order k+32-α2\documentclass[12pt]{minimal}
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\begin{document}$${k + \frac{3}{2} - \frac{\alpha }{2}}$$\end{document} when upwind fluxes are used, under the condition that |f′(u)|\documentclass[12pt]{minimal}
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\begin{document}$$|f'(u)|$$\end{document} possesses a uniform positive lower bound. By the duality argument, we then derive superconvergence results of order 2k+32-α2\documentclass[12pt]{minimal}
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\begin{document}$${2k + \frac{3}{2} - \frac{\alpha }{2}}$$\end{document} in the negative-order norm, demonstrating that it is possible to extend the Smoothness-Increasing Accuracy-Conserving filter to nonlinear conservation laws to obtain at least (32k+1)\documentclass[12pt]{minimal}
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\begin{document}$$({\frac{3}{2}k+1})$$\end{document}th order superconvergence for post-processed solutions. As a by-product, for variable coefficient hyperbolic equations, we provide an explicit proof for optimal convergence results of order k+1\documentclass[12pt]{minimal}
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\begin{document}$${k+1}$$\end{document} in the L2\documentclass[12pt]{minimal}
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\begin{document}$$L^2$$\end{document} norm for the divided differences of DG errors and thus (2k+1)\documentclass[12pt]{minimal}
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\begin{document}$$({2k+1})$$\end{document}th order superconvergence in negative-order norm holds. Numerical experiments are given that confirm the theoretical results.