The DOI matches its Crossref record.
Finite bandwidth, finite amplitude convection
Abstract
The main purpose of this work is to show how a continuous finite bandwidth of modes can be readily incorporated into the description of post-critical Rayleigh-Bénard convection by the use of slowly varying (in space and time) amplitudes. Previous attempts have used a multimodal discrete analysis. We show that in addition to obtaining results consistent with the discrete mode approach, there is a larger class of stable and realizable solutions. The main feature of these solutions is that the amplitude and wave-number of the motion is that of the most unstable mode almost everywhere, but, depending on external and initial conditions, the roll couplets in different parts of space may be 180° out of phase. The resulting discontinuities are smoothed by hyperbolic tangent functions. In addition, it is clear that the mechanism for propagating spatial nonuniformities is diffusive in character.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Pattern formation outside of equilibrium
Cross, M. C., & Hohenberg, P. C. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.851 · Cited by 7,859
The world of the complex Ginzburg-Landau equation
Aranson, I. S., & Kramer, L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.99 · Cited by 1,941
Hydrodynamic fluctuations at the convective instability
Swift, J., & Hohenberg, P. C. (1977) · Physical Review A · doi:10.1103/physreva.15.319 · Cited by 1,648
Renormalization Group Theory for Global Asymptotic Analysis
Chen, L. Y., Goldenfeld, N., & Oono, Y. (1994) · Physical Review Letters · doi:10.1103/physrevlett.73.1311 · Cited by 260
Metadata
- Authors
- Newell, A. C., & Whitehead, J. A.
- Venue
- Journal of Fluid Mechanics
- Publisher
- Cambridge University Press (CUP)
- Published
- 1969-09-03
- Volume
- 38
- Issue
- 2
- Pages
- 279-303
- ISSN
- 0022-1120 (ISSN-L)
- 1469-7645
- OpenAlex
- W2039876742
- Cited by
- 1,464
- References
- 0
- FWCI
- 10.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Finite bandwidth, finite amplitude convection. https://app.cochat.ai/papers/10.1017/s0022112069000176
- The paper
- Newell, A. C., & Whitehead, J. A. (1969). Finite bandwidth, finite amplitude convection. Journal of Fluid Mechanics. https://doi.org/10.1017/s0022112069000176
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.