雅克比矩阵和雅克比行列式

tech2024-01-15  67

雅克比矩阵

∂ ( f 1 , … , f m ) ∂ ( x 1 , … , x n ) \frac{\partial\left(f_{1}, \ldots, f_{m}\right)}{\partial\left(x_{1}, \ldots, x_{n}\right)} (x1,,xn)(f1,,fm) J = [ ∂ f ∂ x 1 ⋯ ∂ f ∂ x n ] = [ ∂ f 1 ∂ x 1 ⋯ ∂ f 1 ∂ x n ⋮ ⋱ ⋮ ∂ f m ∂ x 1 ⋯ ∂ f m ∂ x n ] \mathbf{J}=\left[\begin{array}{ccc} \frac{\partial \mathbf{f}}{\partial x_{1}} & \cdots & \frac{\partial \mathbf{f}}{\partial x_{n}} \end{array}\right]=\left[\begin{array}{ccc} \frac{\partial f_{1}}{\partial x_{1}} & \cdots & \frac{\partial f_{1}}{\partial x_{n}} \\ \vdots & \ddots & \vdots \\ \frac{\partial f_{m}}{\partial x_{1}} & \cdots & \frac{\partial f_{m}}{\partial x_{n}} \end{array}\right] J=[x1fxnf]=x1f1x1fmxnf1xnfm J i j = ∂ f i ∂ x j \mathbf{J}_{i j}=\frac{\partial f_{i}}{\partial x_{j}} Jij=xjfi

雅克比行列式

求雅克比矩阵的行列式
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