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Roblêdo Mak's Miranda Sette

Publications and source records attributed to Roblêdo Mak's Miranda Sette.

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Summable Orbits and the Minimal Caristi Potential

Let $(M,d)$ be a complete metric space and $f:M\to M$. Associated with $f$ is the \emph{orbit potential} \[ φ_f(x)=\sum_{n\ge0} d\bigl(f^n(x),f^{n+1}(x)\bigr)\in[0,+\infty], \] whose finiteness at a single point expresses the summability of the corresponding forward orbit. We show that, whenever $φ_f$ is \lsc, the map $f$ has a fixed point if and only if some orbit is summable. The lower semicontinuity of each individual gap $x\mapsto d(f^n(x),f^{n+1}(x))$ is a convenient sufficient condition for this hypothesis, and we exhibit an example in which it fails while $φ_f$ remains \lsc, so that the criterion applies strictly beyond that condition. Under the same hypothesis we observe that the existence of a summable orbit is equivalent to $f$ being a Caristi map, and that $φ_f$ is then the \emph{minimal} Caristi potential, in the sense that $φ_f\leφ-\infφ$ for every admissible potential $φ$. Finally we delimit the reach of the criterion among generalized contractions: it recovers the Bianchini--Grandolfi contractions (those governed by a summable comparison function), and in particular the Banach contraction principle, but it does not subsume the Boyd--Wong or Matkowski classes, whose orbits need not be summable; the comparison function $ψ(t)=t/(1+t)$ marks this boundary explicitly.

math.FA↗

A new interpolation method for metric spaces based on bi-infinite sequences: The $R$-Method

We introduce a new interpolation method for metric spaces, termed the $R$-method, based on bi-infinite linking sequences. Although the construction is inspired by the classical metric functional $J_M$, the resulting interpolated space is generated by a distinct object that behaves as a multiscale energy functional. This functional measures the minimal discrete action required to connect two points through $\mathbb{Z}$-indexed sequences, leading to a new intrinsic metric on $X_0 \cap X_1$. The associated interpolated space is obtained as the relative completion of this metric inside $X_0 \cup X_1$ and is genuinely different from those produced by the $J_M$- and $K_M$-methods. A fundamental structural property of the $R$-method is that the resulting space embeds continuously into the corresponding $K_M$-interpolated space, situating the construction naturally within the existing theory of metric interpolation. When the method is restricted to a normed setting, the $R$-method induces a genuine interpolation functor. In this framework, it preserves the Lipschitz property of operators with closed graphs, even in the absence of linearity, thereby extending the classical scope of interpolation theory, which is traditionally confined to linear continuous operators. As a consequence, standard compactness properties are also preserved under mild assumptions. The $R$-method thus provides a new interpolation framework whose foundations rely exclusively on intrinsic metric properties and the summability of discrete orbits, bridging metric interpolation, nonlinear analysis, and classical interpolation theory.

math.FA↗