Exact(1)
Recently, Liang et al. in [9] firstly studied the bifurcation phenomena of problem (1.1) with the right-hand side of the first equation replaced by (nu f x,u)) by using the topological degree and variational methods.
Similar(59)
The centres were launched partly due to the Legal Services Research Centre's 2006 influential Causes of Action paper, which highlighted the phenomenon of "problem clusters" – problems tend to be experienced "simultaneously or in sequence by the same person".
In this section, we investigate the blow-up phenomenon of problem (1.1 - 1.3 1.1 - 1.3
These findings suggest an urgent need to understand the phenomenon of problem recognition and to integrate this into the design of interventions to reduce delays in health seeking.
Recently, some papers began to consider the blow-up phenomena of these problems under the Robin boundary conditions (see [11 14]).
They determine, for solutions that blow up, a lower bound for the blow-up time t ∗ in a bounded domain Ω ⊂ R N for N = 3. Besides, some authors have also started to consider the blow-up phenomena of those problems under Robin boundary conditions (see [17] [19]).
In particular, in a recent paper by Xu et al. [13], the authors investigated the extinction and non-extinction phenomena of solutions of Problem (1.1) and obtained the following result.
In Section 4, we describe the concentration phenomenon of the problem and characterize the critical points at infinity associated with (1.1).
Such expansions will be useful for the construction of a suitable pseudo-gradient which allows us to describe the concentration phenomenon of the problem and identify the critical points at infinity.
If γ < α y 0 k − m, there exists η > 0 such that 0 ≤ y ( t ) ≤ y 0 e − η t for all t ≥ 0. In this section, we construct suitable super- and sub-solution to determine whether there exist extinction phenomena for the solutions of problem (1.1 - 1.3 1.1 - 1.3
In summary, our initial work has opened up several interesting questions and alternative interpretations, which we hope to resolve by further experimentation to better understand the phenomenon of collective problem-solving.
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