In the present paper, we consider second order strictly hyperbolic linear operators of the form $Lu\,=\,\d_t^2u\,-\,\div\big(A(t,x)\nabla u\big)$, for $(t,x)\in[0,T]\times\R^n$. % with variable coefficients depending both on the time and space variables. More precisely, We assume the coefficients of the matrix $A(t,x)$ to be smooth in time on $\,]0,T]\times\R^n$, but rapidly oscillating when $t\ra0^+$; they match instead minimal regularity assumptions (either Lipschitz or log-Lipschitz regularity conditions) with respect to the space variable. Correspondingly, we prove well-posedness results for the Cauchy problem related to $L$, either with no loss of derivatives (in the Lipschitz case) or with a finite loss of derivatives, which is linearly increasing in time (in the log-Lipschitz case).
Well-posedness results for hyperbolic operators with coefficients rapidly oscillating in time / Del Santo, D., Colombini, F., Fanelli, F.. - In: ANNALI DELLA SCUOLA NORMALE SUPERIORE DI PISA. CLASSE DI SCIENZE. - ISSN 0391-173X. - XXVI (2025):4(2025), pp. 1905-1927. [10.2422/2036-2145.202301_017]
Well-posedness results for hyperbolic operators with coefficients rapidly oscillating in time
Del Santo DanielePrimo
;Colombini FerruccioSecondo
;Fanelli FrancescoUltimo
2025-01-01
Abstract
In the present paper, we consider second order strictly hyperbolic linear operators of the form $Lu\,=\,\d_t^2u\,-\,\div\big(A(t,x)\nabla u\big)$, for $(t,x)\in[0,T]\times\R^n$. % with variable coefficients depending both on the time and space variables. More precisely, We assume the coefficients of the matrix $A(t,x)$ to be smooth in time on $\,]0,T]\times\R^n$, but rapidly oscillating when $t\ra0^+$; they match instead minimal regularity assumptions (either Lipschitz or log-Lipschitz regularity conditions) with respect to the space variable. Correspondingly, we prove well-posedness results for the Cauchy problem related to $L$, either with no loss of derivatives (in the Lipschitz case) or with a finite loss of derivatives, which is linearly increasing in time (in the log-Lipschitz case).| File | Dimensione | Formato | |
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