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<bibitem type="J">   <ARLID>0584247</ARLID> <utime>20250317090823.3</utime><mtime>20240315235959.9</mtime>   <SCOPUS>85187669803</SCOPUS> <WOS>001222132200001</WOS>  <DOI>10.1016/j.na.2024.113523</DOI>           <title language="eng" primary="1">Hadamard’s inequality in the mean</title>  <specification> <page_count>29 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0257331</ARLID><ISSN>0362-546X</ISSN><title>Nonlinear Analysis: Theory, Methods &amp; Applications</title><part_num/><part_title/><volume_id>243</volume_id><volume/><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>Hadamard inequality</keyword>   <keyword>Quasiconvexity at the boundary</keyword>    <author primary="1"> <ARLID>cav_un_auth*0465031</ARLID> <name1>Bevan</name1> <name2>J.</name2> <country>GB</country> <share>33</share> <garant>K</garant> </author> <author primary="0"> <ARLID>cav_un_auth*0101142</ARLID> <name1>Kružík</name1> <name2>Martin</name2> <institution>UTIA-B</institution> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept>Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department>MTR</department> <full_dept>Department of Decision Making Theory</full_dept> <share>34</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0292941</ARLID> <name1>Valdman</name1> <name2>Jan</name2> <institution>UTIA-B</institution> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept>Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department>MTR</department> <full_dept>Department of Decision Making Theory</full_dept> <share>33</share> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2024/MTR/kruzik-0584247.pdf</url> </source> <source> <url>https://www.sciencedirect.com/science/article/pii/S0362546X24000427?via%3Dihub</url>  </source>        <cas_special> <project> <project_id>IEES R3 193278</project_id> <agency>Royal Society International Exchange</agency> <country>GB</country> <ARLID>cav_un_auth*0465032</ARLID> </project>  <abstract language="eng" primary="1">Let 𝑄 be a Lipschitz domain in R𝑛 and let 𝑓 ∈ 𝐿∞(𝑄). We investigate conditions under which the functional 𝐼𝑛(𝜑) = ∫𝑄 |∇𝜑|𝑛 + 𝑓(𝑥)det ∇𝜑 d𝑥 obeys 𝐼𝑛 ≥ 0 for all 𝜑 ∈ 𝑊1,𝑛 0 (𝑄,R𝑛), an inequality that we refer to as Hadamard-in-the-mean, or (HIM). We prove that there are piecewise constant 𝑓 such that (HIM) holds and is strictly stronger than the best possible inequality that can be derived using the Hadamard inequality 𝑛 𝑛2 |det 𝐴| ≤ |𝐴|𝑛 alone. When 𝑓 takes just two values, we find that (HIM) holds if and only if the variation of 𝑓 in 𝑄 is at most 2𝑛 𝑛2. For more general 𝑓, we show that (i) it is both the geometry of the ‘jump sets’ as well as the sizes of the ‘jumps’ that determine whether (HIM) holds and (ii) the variation of 𝑓 can be made to exceed 2𝑛 𝑛2, provided 𝑓 is suitably chosen. Specifically, in the planar case 𝑛 = 2 we divide 𝑄 into three regions {𝑓 = 0} and {𝑓 = ±𝑐}, and prove that as long as {𝑓 = 0} ‘insulates’ {𝑓 = 𝑐} from {𝑓 = −𝑐} sufficiently, there is 𝑐 &gt; 2 such that (HIM) holds. Perhaps surprisingly, (HIM) can hold even when the insulation region {𝑓 = 0} enables the sets {𝑓 = ±𝑐} to meet in a point. As part of our analysis, and in the spirit of the work of Mielke and Sprenger (1998), we give new examples of functions that are quasiconvex at the boundary.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10102</FORD2>    <reportyear>2025</reportyear>      <num_of_auth>3</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0353335</permalink>   <confidential>S</confidential>  <article_num> 113523 </article_num> <unknown tag="mrcbC91"> A </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS|MATHEMATICS.APPLIED</unknown> <unknown tag="mrcbT16-f">1.5</unknown> <unknown tag="mrcbT16-g">0.3</unknown> <unknown tag="mrcbT16-h">14.9</unknown> <unknown tag="mrcbT16-i">0.00951</unknown> <unknown tag="mrcbT16-j">0.97</unknown> <unknown tag="mrcbT16-k">11493</unknown> <unknown tag="mrcbT16-q">141</unknown> <unknown tag="mrcbT16-s">1.532</unknown> <unknown tag="mrcbT16-y">31.11</unknown> <unknown tag="mrcbT16-x">1.53</unknown> <unknown tag="mrcbT16-3">895</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">1.300</unknown> <unknown tag="mrcbT16-6">161</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-C">74.6</unknown> <unknown tag="mrcbT16-M">0.95</unknown> <unknown tag="mrcbT16-N">Q1</unknown> <unknown tag="mrcbT16-P">85.7</unknown> <arlyear>2024</arlyear>       <unknown tag="mrcbU14"> 85187669803 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 001222132200001 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0257331 Nonlinear Analysis: Theory, Methods &amp; Applications Roč. 243 č. 1 2024 0362-546X 1873-5215 Elsevier </unknown> </cas_special> </bibitem>