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Introduction to the Modeling and Analysis of Complex Systems

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230 CHAPTER 13. CONTINUOUS FIELD MODELS I: MODELINGFigure 13.2: Con<strong>to</strong>ur f(x, y) = 1/2 (blue solid circle) <strong>of</strong> a spatial function f(x, y) =e −(x2 +y 2) .Here, n is <strong>the</strong> number <strong>of</strong> dimensions <strong>of</strong> <strong>the</strong> space. The symbol ∇ is called “del” or “nabla,”which can be considered <strong>the</strong> following “vec<strong>to</strong>r” <strong>of</strong> differential opera<strong>to</strong>rs:⎛ ⎞∂∂x 1∂∇ =∂x 2(13.4)⎜ .⎟⎝ ∂ ⎠∂x nA gradient <strong>of</strong> f at position x is a vec<strong>to</strong>r pointing <strong>to</strong>ward <strong>the</strong> direction <strong>of</strong> <strong>the</strong> steepestascending slope <strong>of</strong> f at x. The length <strong>of</strong> <strong>the</strong> vec<strong>to</strong>r represents how steep <strong>the</strong> slope is. Avec<strong>to</strong>r field <strong>of</strong> gradient ∇f defined over a scalar field f is <strong>of</strong>ten called a gradient field (Seean example in Fig. 13.3). The gradient is always perpendicular <strong>to</strong> <strong>the</strong> con<strong>to</strong>ur that goesthrough x (unless <strong>the</strong> gradient is a zero vec<strong>to</strong>r; compare Figs. 13.2 <strong>and</strong> 13.3).

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