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How does the lecture move from the 2D formula to an n-dimensional Laplacian?

The lecture generalizes the 2D Laplace equation by replacing the specific coordinates xx and yy with a sequence of generic coordinates x1,x2,…,xnx_1, x_2, \ldots, x_n. It introduces the compact operator notation Δu\Delta u to represent the sum of second partial derivatives across all nn dimensions, showing that the 2D case is simply the instance where n=2n=2.

Conditions

  • The function uu depends on nn independent variables.
  • The coordinates are labeled x1x_1 through xnx_n.
  • The operation remains the sum of unmixed second partial derivatives.

Reasoning, step by step

  1. Start with the 2D definition: ∂2u∂x2+∂2u∂y2=0\frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0.
  2. Introduce the concept of nn dimensions with coordinates x1,…,xnx_1, \ldots, x_n.
  3. Define the Laplacian operator Δ\Delta as the sum of second derivatives with respect to each coordinate.
  4. Write the expanded form: Δu=∑i=1n∂2u∂xi2\Delta u = \sum_{i=1}^n \frac{\partial^2 u}{\partial x_i^2}.
  5. Identify that setting Δu=0\Delta u = 0 yields the n-dimensional Laplace equation.
  6. Note that for n=2n=2, this recovers the original 2D formula.

Example

The lecturer states, 'this is a more general way of writing this up assuming that u is multi-dimension instead of just two dimension.' He writes 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}, explicitly extending the sum from two terms to nn terms.

Common misconceptions

  • Thinking the generalization changes the nature of the derivatives; they remain second partial derivatives.
  • Assuming the coordinates must be orthogonal; while implied here, the general Laplacian can be defined in curvilinear coordinates with metric factors, though the video sticks to the simple Cartesian sum.
  • Believing that nn must be large; the formula holds for any n≥1n \ge 1, with n=1n=1 being the standard second derivative.
  • Confusing the ellipsis (⋯\cdots) with a specific number of terms; it represents the continuation up to the nn-th term.

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