Journal article
Convergence rate of the hypersonic similarity for two-dimensional steady potential flows with large data
- Abstract:
- We establish the optimal convergence rate of the hypersonic similarity for two-dimensional steady potential flows with large data past a straight wedge in the $BV \cap L^1$ framework, provided that the total variation of the large data multiplied by $\gamma - 1 + \frac{a_\infty^2}{M_\infty^2}$ is uniformly bounded with respect to the adiabatic exponent $\gamma > 1$, the Mach number $M_\infty$ of the incoming steady flow, and the hypersonic similarity parameter $a_\infty$. Our main approach in this paper is first to establish the well-posedness and the Lipschitz continuous map $\mathcal{P}$ that has the properties similar to the Standard Riemann Semigroup of the initial-boundary value problem for the isothermal hypersonic small disturbance equations with large data, and then to compare the Riemann solutions between two systems with boundary locally case by case. Based on them, we derive the global $L^1$-estimate between the two solutions by employing the Lipschitz continuous map $\mathcal{P}$ and the local $L^1$-estimates. We further construct an example to show that the convergence rate is optimal.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 685.2KB, Terms of use)
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- Publisher copy:
- 10.1088/1361-6544/adb366
Authors
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/V051121/1
- EP/L015811/1
- EP/V008854/1
- Publisher:
- IOP Publishing
- Journal:
- Nonlinearity More from this journal
- Volume:
- 38
- Issue:
- 4
- Article number:
- 045013
- Publication date:
- 2025-03-13
- Acceptance date:
- 2025-02-06
- DOI:
- EISSN:
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1361-6544
- ISSN:
-
0951-7715
- Language:
-
English
- Keywords:
- Pubs id:
-
2095167
- Local pid:
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pubs:2095167
- Deposit date:
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2025-05-09
- ARK identifier:
Terms of use
- Copyright holder:
- Chen et al
- Copyright date:
- 2025
- Rights statement:
- © 2025 The Author(s). Published by IOP Publishing Ltd and the London Mathematical Society. Original Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
- Licence:
- CC Attribution (CC BY)
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