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We demonstrate that the resulting fully discrete scheme is stable when the time-step size is upper bounded by a constant. More specifically, when central fluxes are used for the advection term, the schemes are stable under the time-step constraint\n \n \n $$\\tau \\le \\tau _0 {d}\/{a^2}$$<\/jats:tex-math>\n \n \n \u03c4<\/mml:mi>\n \u2264<\/mml:mo>\n \n \u03c4<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n d<\/mml:mi>\n \/<\/mml:mo>\n \n a<\/mml:mi>\n 2<\/mml:mn>\n <\/mml:msup>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n , while when upwind fluxes are used, the schemes are stable if\n \n \n $$\\tau \\le \\max \\left\\{ \\tau _0 {d}\/{a^2}, c_0 h\/a\\right\\} $$<\/jats:tex-math>\n \n \n \u03c4<\/mml:mi>\n \u2264<\/mml:mo>\n max<\/mml:mo>\n \n \n \u03c4<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n d<\/mml:mi>\n \/<\/mml:mo>\n \n a<\/mml:mi>\n 2<\/mml:mn>\n <\/mml:msup>\n ,<\/mml:mo>\n \n c<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n h<\/mml:mi>\n \/<\/mml:mo>\n a<\/mml:mi>\n <\/mml:mfenced>\n <\/mml:mrow>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n . Here,\n \n \n $$\\tau $$<\/jats:tex-math>\n \n \u03c4<\/mml:mi>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n is the time-step size,\n h<\/jats:italic>\n is the spatial mesh size, and\n a<\/jats:italic>\n and\n d<\/jats:italic>\n are constants for the advection and diffusion coefficients, respectively. The constant\n \n \n $$c_0$$<\/jats:tex-math>\n \n \n c<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n is the CFL constant for the explicit RK method for the purely advection equation, and\n \n \n $$\\tau _0$$<\/jats:tex-math>\n \n \n \u03c4<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n is a constant that depends on the order of the ETD-RK method. These stability conditions are consistent with those of the implicit-explicit RKDG method. The time-step constraints are rigorously proved for the lowest-order case and are validated through Fourier analysis for higher-order cases. Notably, the constant\n \n \n $$\\tau _0$$<\/jats:tex-math>\n \n \n \u03c4<\/mml:mi>\n 0<\/mml:mn>\n <\/mml:msub>\n <\/mml:math>\n <\/jats:alternatives>\n <\/jats:inline-formula>\n in the fully discrete ETD-RK-DG schemes appears to be determined by the stability condition of their semidiscrete (continuous in space, discrete in time) ETD-RK counterparts and is insensitive to the polynomial degree and the specific choice of the DG method. Numerical examples, including problems with nonlinear convection in one and two dimensions, are provided to validate our findings.\n <\/jats:p>","DOI":"10.1007\/s10915-025-03085-8","type":"journal-article","created":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T03:02:31Z","timestamp":1760756551000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Stability and Time-Step Constraints of Exponential Time Differencing Runge\u2013Kutta Discontinuous Galerkin Methods for Advection-Diffusion Equations"],"prefix":"10.1007","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7298-004X","authenticated-orcid":false,"given":"Ziyao","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong-Tao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,18]]},"reference":[{"issue":"5","key":"3085_CR1","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1137\/S0036142901384162","volume":"39","author":"DN Arnold","year":"2002","unstructured":"Arnold, D.N., Brezzi, F., Cockburn, B., Marini, L.D.: Unified analysis of discontinuous Galerkin methods for elliptic problems. 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