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Answers for “拉普拉斯算子在多维中是如何定义的?”

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In multiple dimensions, the Laplacian Δu\Delta u is defined as the sum of the unmixed second partial derivatives of the scalar function uu with respect to each independent coordinate variable x1,x2,…,xnx_1, x_2, \ldots, x_n. Mathematically, Δu=∂2u∂x12+∂2u∂x22+⋯+∂2u∂xn2\Delta u = \frac{\partial^2 u}{\partial x_1^2} + \frac{\partial^2 u}{\partial x_2^2} + \cdots + \frac{\partial^2 u}{\partial x_n^2}.

Conditions: uu is a twice-differentiable scalar function of nn variables.; The coordinates x1,…,xnx_1, \ldots, x_n form an orthogonal system (implied by the simple sum).; The definition applies to any dimension n≥1n \ge 1.

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The notation ∇2\nabla^2 (nabla squared) is mathematically equivalent to Δ\Delta (delta) when representing the Laplacian operator. Both symbols denote the sum of the unmixed second partial derivatives of a scalar field.

Conditions: The operator acts on a scalar field uu.; The context is vector calculus or PDEs.; ∇\nabla is the del/nabla operator.; Δ\Delta is the Laplace operator.

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The upside-down triangle symbol, known as nabla (∇\nabla), represents the del operator. In the context of Laplace's equation, its square (∇2\nabla^2) is equivalent to the Laplacian operator (Δ\Delta).

Conditions: The symbol ∇\nabla is the vector differential operator.; ∇2\nabla^2 denotes the composition of the divergence of the gradient, resulting in a scalar operator.; The equation is the Laplace equation.