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The LoMaC property refers to the exact local conservation of macroscopic mass, momentum and energy at the discrete level. This is a follow-up work of our previous development of a conservative low rank tensor approach for Vlasov dynamics (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/arxiv.org\/abs\/2201.10397\">arXiv:2201.10397<\/jats:ext-link>). In that work, we applied a low rank tensor method with a conservative singular value decomposition to the high dimensional VP system to mitigate the curse of dimensionality, while maintaining the local conservation of mass and momentum. However, energy conservation is not guaranteed, which is a critical property to avoid unphysical plasma self-heating or cooling. The new ingredient in the LoMaC low rank tensor algorithm is that we simultaneously evolve the macroscopic conservation laws of mass, momentum and energy using a flux-difference form with kinetic flux vector splitting; then the LoMaC property is realized by projecting the low rank kinetic solution onto a subspace that shares the same macroscopic observables by a conservative orthogonal projection. The algorithm is extended to the high dimensional problems by hierarchical Tuck decomposition of solution tensors and a corresponding conservative projection algorithm. Extensive numerical tests on the VP system are showcased for the algorithm\u2019s efficacy.\n<\/jats:p>","DOI":"10.1007\/s10915-024-02684-1","type":"journal-article","created":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T11:02:10Z","timestamp":1729854130000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Local Macroscopic Conservative (LoMaC) Low Rank Tensor Method for the Vlasov Dynamics"],"prefix":"10.1007","volume":"101","author":[{"given":"Wei","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3462-188X","authenticated-orcid":false,"given":"Jing-Mei","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,25]]},"reference":[{"key":"2684_CR1","doi-asserted-by":"crossref","unstructured":"Allmann-Rahn, F., Grauer, R., Kormann, K.: A parallel low-rank solver for the six-dimensional Vlasov\u2013Maxwell equations (2022). arXiv preprint arXiv:2201.03471","DOI":"10.1016\/j.jcp.2022.111562"},{"key":"2684_CR2","volume-title":"Plasma Physics via Computer Simulation","author":"CK Birdsall","year":"2004","unstructured":"Birdsall, C.K., Langdon, A.B.: Plasma Physics via Computer Simulation. 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