×

Non-Lipschitz minimizers of smooth uniformly convex functionals. (English) Zbl 1106.49046

Summary: We construct non-Lipschitz minimizers of smooth, uniformly convex functionals of type \(I(u) = \int_\Omega f(Du(x))\,dx\). Our method is based on the use of null Lagrangians.

MSC:

49M30 Other numerical methods in calculus of variations (MSC2010)
49N60 Regularity of solutions in optimal control
49J10 Existence theories for free problems in two or more independent variables
Full Text: DOI

References:

[1] MEM ACAD SCI TORINO CL SCI FIS MATH NAT 3 pp 25– (1957)
[2] AM J MATH 80 pp 931– (1958) · Zbl 0096.06902 · doi:10.2307/2372841
[3] BOLLETTINO DELLA UNIONE MATEMATICA ITALIANA 1 pp 135– (1968)
[4] ANN SC NORM SUPER PISA 23 pp 57– (1996)
[5] CALC VAR PARTIAL DIFFER EQUATIONS 10 pp 213– (2000) · Zbl 1013.49027 · doi:10.1007/s005260050151
[6] PROC R SOC EDINBURGH SER A 102 pp 291– (1986) · Zbl 0602.49029 · doi:10.1017/S0308210500026378
[7] MANUSCRIPTA MATH 59 pp 245– (1987) · Zbl 0638.49005 · doi:10.1007/BF01158049
[8] J DIFFER EQUATIONS 90 pp 1– (1991) · Zbl 0724.35043 · doi:10.1016/0022-0396(91)90158-6
[9] ARCH RATION MECH ANAL 63 pp 337– (1978)
[10] J FUNCT ANAL 41 pp 135– (1981) · Zbl 0459.35020 · doi:10.1016/0022-1236(81)90085-9
[11] AM J MATH 61 pp 461– (1939) · Zbl 0021.35503 · doi:10.2307/2371513
[12] BOLL UN MAT ITAL 1 pp 219– (1968)
[13] COMMENT MATH UNIV CAROL 21 pp 145– (1980)
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.