Universal Potential Estimates for Mixed Local and Nonlocal Nonlinear Measure Data Problems
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866908594280071168 |
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| author | Ma, Lingwei Xiong, Qi Zhang, Zhenqiu |
| author_facet | Ma, Lingwei Xiong, Qi Zhang, Zhenqiu |
| contents | This paper presents the nonlinear potential theory for mixed local and nonlocal $p$-Laplace type equations with coefficients and measure data, involving both superquadratic and subquadratic cases. We prove a class of universal pointwise estimates for the solution and its gradient via Riesz and Wolff potentials. These are achieved by imposing various low regularity conditions on the coefficient of the local term, while the kernel coefficient for the nonlocal term is merely assumed to be measurable. The key to these proofs lies in introducing a novel fractional maximum function that can capture both local and nonlocal features simultaneously, and in establishing pointwise estimates for such maximum operators of the solution and its gradient. Notably, our universal potential estimates not only precisely characterize the oscillations of solutions, but also identify the borderline case that bounds their size, thereby refining the pointwise potential estimates available in earlier work. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_13269 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Universal Potential Estimates for Mixed Local and Nonlocal Nonlinear Measure Data Problems Ma, Lingwei Xiong, Qi Zhang, Zhenqiu Analysis of PDEs This paper presents the nonlinear potential theory for mixed local and nonlocal $p$-Laplace type equations with coefficients and measure data, involving both superquadratic and subquadratic cases. We prove a class of universal pointwise estimates for the solution and its gradient via Riesz and Wolff potentials. These are achieved by imposing various low regularity conditions on the coefficient of the local term, while the kernel coefficient for the nonlocal term is merely assumed to be measurable. The key to these proofs lies in introducing a novel fractional maximum function that can capture both local and nonlocal features simultaneously, and in establishing pointwise estimates for such maximum operators of the solution and its gradient. Notably, our universal potential estimates not only precisely characterize the oscillations of solutions, but also identify the borderline case that bounds their size, thereby refining the pointwise potential estimates available in earlier work. |
| title | Universal Potential Estimates for Mixed Local and Nonlocal Nonlinear Measure Data Problems |
| topic | Analysis of PDEs |
| url | https://arxiv.org/abs/2510.13269 |