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正交座标系 Connected to: {{::readMoreArticle.title}} 在数学里,一个正交坐标系定义为一组正交坐标 q = ( q 1 , q 2 , q 3 , … q n ) {\displaystyle \mathbf {q} =(q_{1},\ q_{2},\ q_{3},\ \dots \ q_{n})} ,其坐标曲面都以直角相交(注意:很多作者采用爱因斯坦记号对坐标标号使用上标并非表示指数)。坐标曲面定义为特定坐标 q i {\displaystyle q_{i)) 的等值曲面,即 q i {\displaystyle q_{i)) 为常数的曲线、曲面或超曲面。例如,三维直角坐标 ( x , y , z ) {\displaystyle (x,\ y,\ z)} 是一种正交坐标系,它的 x {\displaystyle x} 为常数, y {\displaystyle y} 为常数, z {\displaystyle z} 为常数的坐标曲面,都是互相以直角相交的平面,都互相垂直。正交坐标系是曲线坐标系的特殊的但极其常见的形式。 动机 正交座标时常用来解析一些出现于量子力学、流体动力学、电动力学、热力学等等的偏微分方程。举例而言,选择一个恰当的的正交座标来解析氢离子 H 2 − {\displaystyle H_{2}\,^{-)) 的波函数或消防水管的喷水,也许会比用直角座标方便的多。这主要是因为恰当的正交座标能够与一个问题的对称性相配合,从而促使应用分离变数法来成功的解析关于这问题的方程式。分离变数法是一种数学技巧,专门用来将一个复杂的 n {\displaystyle n} 维问题变为 n {\displaystyle n} 个一维问题。很多问题都可以简化为拉普拉斯方程或亥姆霍兹方程,这些方程式可以用很多种正交座标来分离。拉普拉斯方程可以在13个正交坐标系中分离(本文列出的14个中圆环坐标系除外),而亥姆霍兹方程可以在11个正交坐标系中分离[1][2]。 概述 共形映射作用于矩形网格。注意,弯曲的网格的正交性被保留。正交坐标的度规张量绝对没有非对角项目。换句话说,无穷小距离的平方 d s 2 {\displaystyle ds^{2)) ,可以写为无穷小坐标位移的平方和: d s 2 = ∑ i = 1 n ( h i d q i ) 2 {\displaystyle ds^{2}=\sum _{i=1}^{n}\left(h_{i}dq_{i}\right)^{2)) ;其中, n {\displaystyle n} 是维数,标度因子 h i {\displaystyle h_{i)) 是度规张量的对角元素 g i i {\displaystyle g_{ii)) 的平方根: h i ( q ) = d e f g i i ( q ) {\displaystyle h_{i}(\mathbf {q} )\ {\stackrel {\mathrm {def} }{=))\ {\sqrt {g_{ii}(\mathbf {q} )))} 。这些标度因子可以用来计算一个正交坐标系的微分算子。例如,梯度、拉普拉斯算子、散度、或旋度。 在数学里,存在有各种各样的正交座标系。应用二维直角座标系 ( x , y ) {\displaystyle (x,\ y)} 的共形映射方法,可以简易的生成这些正交座标系。一个复数 z = x + i y {\displaystyle z=x+iy} 的任何全纯函数 w = f ( z ) {\displaystyle w=f(z)} ,其复值的导数,如果不等于零,则会造成一个共形映射。如果答案可以表达为 w = u + i v {\displaystyle w=u+iv} ,则 u {\displaystyle u} 与 v {\displaystyle v} 的等值曲线以直角相交,就如同原本的 x {\displaystyle x} 与 y {\displaystyle y} 的等值曲线以直角相交。 三维与更高维的正交座标系可以由一个二维正交座标系生成,只要将二维正交座标往一个新的座标轴投射(形成类似圆柱座标系的座标系),或者将二维正交座标绕着其对称轴旋转。可是,也有一些三维正交座标系,例如椭球座标系,则不能够用上述方法得到。更一般的正交坐标可以从一些必要的坐标曲面/曲线起步并通过考虑它们的正交轨迹线(英语:Orthogonal trajectory)而得到。 向量代数 在正交坐标系里,内积的公式仍旧不变: A ⋅ B = ∑ i = 1 n A i B i {\displaystyle \mathbf {A} \cdot \mathbf {B} =\sum _{i=1}^{n}A_{i}B_{i)) 。 向量微积分 从前面的距离公式,可以观察出,一个正交坐标 q i {\displaystyle q_{i)) 的无穷小改变 d q i {\displaystyle dq_{i)) ,其相伴的长度是 d s i = h i d q i {\displaystyle ds_{i}=h_{i}dq_{i)) 。因此,一个位移向量的全微分 d r {\displaystyle d\mathbf {r} } 等于 d r = ∑ i = 1 n h i d q i e i {\displaystyle d\mathbf {r} =\sum _{i=1}^{n}h_{i}dq_{i}\mathbf {e} _{i)) ;其中, e i {\displaystyle \mathbf {e} _{i)) 是垂直于 q i {\displaystyle q_{i)) 等值曲面的单位向量,指向着 q i {\displaystyle q_{i)) 增值最快的方向,这些单位向量形成了一个局部直角坐标系的坐标轴。 因此,向量 F {\displaystyle \mathbf {F} } 沿着周线 C {\displaystyle \mathbb {C} } 的线积分等于 ∫ C F ⋅ d r = ∑ i = 1 n ∫ C F i h i d q i {\displaystyle \int _{\mathbb {C} }\mathbf {F} \cdot d\mathbf {r} =\sum _{i=1}^{n}\int _{\mathbb {C} }F_{i}h_{i}dq_{i)) ;其中, F i {\displaystyle F_{i)) 是向量 F {\displaystyle \mathbf {F} } 在单位向量 e i {\displaystyle \mathbf {e} _{i)) 方向的分量: F i = d e f e i ⋅ F {\displaystyle F_{i}\ {\stackrel {\mathrm {def} }{=))\ \mathbf {e} _{i}\cdot \mathbf {F} } 。类似地,一个无穷小面积元素是 d A = d s i d s j = h i h j d q i d q j , i ≠ j {\displaystyle dA=ds_{i}ds_{j}=h_{i}h_{j}dq_{i}dq_{j},\qquad i\neq j} ,一个无穷小体积元素是 d V = d s i d s j d s k = h i h j h k d q i d q j d q k , i ≠ j ≠ k {\displaystyle dV=ds_{i}ds_{j}ds_{k}=h_{i}h_{j}h_{k}dq_{i}dq_{j}dq_{k},\qquad i\neq j\neq k} 。例如,向量 F {\displaystyle \mathbf {F} } 对于一个曲面 S {\displaystyle \mathbb {S} } 的曲面积分是 ∫ S F ⋅ d A = ∫ S F 1 h 2 h 3 d q 2 d q 3 + ∫ S F 2 h 3 h 1 d q 3 d q 1 + ∫ S F 3 h 1 h 2 d q 1 d q 2 {\displaystyle \int _{\mathbb {S} }\mathbf {F} \cdot d\mathbf {A} =\int _{\mathbb {S} }F_{1}h_{2}h_{3}dq_{2}dq_{3}+\int _{\mathbb {S} }F_{2}h_{3}h_{1}dq_{3}dq_{1}+\int _{\mathbb {S} }F_{3}h_{1}h_{2}dq_{1}dq_{2)) 。 球坐标系实例 直角坐标 ( x , y , z ) {\displaystyle (x,\ y,\ z)} 与球坐标 ( r , θ , ϕ ) {\displaystyle (r,\ \theta ,\phi )} 的变换方程式为 x = r sin θ cos ϕ {\displaystyle x=r\sin \theta \cos \phi } 、 y = r sin θ sin ϕ {\displaystyle y=r\sin \theta \sin \phi } 、 z = r cos θ {\displaystyle z=r\cos \theta } 。直角坐标的全微分是 d x = sin θ cos ϕ d r + r cos θ cos ϕ d θ − r sin θ sin ϕ d ϕ {\displaystyle dx=\sin \theta \cos \phi dr+r\cos \theta \cos \phi d\theta -r\sin \theta \sin \phi d\phi } 、 d y = sin θ sin ϕ d r + r cos θ sin ϕ d θ + r sin θ cos ϕ d ϕ {\displaystyle dy=\sin \theta \sin \phi dr+r\cos \theta \sin \phi d\theta +r\sin \theta \cos \phi d\phi } 、 d z = cos θ d r − r sin θ d θ {\displaystyle dz=\cos \theta dr-r\sin \theta d\theta } 。所以,无穷小距离的平方是 d s 2 = d x 2 + d y 2 + d z 2 = d r 2 + ( r d θ ) 2 + ( r sin θ d ϕ ) 2 {\displaystyle {\begin{aligned}ds^{2}&=dx^{2}+dy^{2}+dz^{2}\\&=dr^{2}+(rd\theta )^{2}+(r\sin \theta d\phi )^{2}\\\end{aligned))} 。标度因子是 h r = 1 {\displaystyle h_{r}=1} 、 h θ = r {\displaystyle h_{\theta }=r} 、 h ϕ = r sin θ {\displaystyle h_{\phi }=r\sin \theta } 。向量 F {\displaystyle \mathbf {F} } 沿着周线 C {\displaystyle \mathbb {C} } 的线积分等于 ∫ C F ⋅ d r = ∫ C F r d r + F θ r d θ + F ϕ r sin θ d ϕ {\displaystyle \int _{\mathbb {C} }\mathbf {F} \cdot d\mathbf {r} =\int _{\mathbb {C} }F_{r}\ dr+F_{\theta }\ rd\theta +F_{\phi }\ r\sin \theta d\phi } 。向量 F {\displaystyle \mathbf {F} } 对于一个曲面 S {\displaystyle \mathbb {S} } 的曲面积分是 ∫ S F ⋅ d A = ∫ S F r r 2 sin θ d θ d ϕ + ∫ S F θ r sin θ d r d ϕ + ∫ S F ϕ r d r d θ {\displaystyle \int _{\mathbb {S} }\mathbf {F} \cdot d\mathbf {A} =\int _{\mathbb {S} }F_{r}\ r^{2}\sin \theta d\theta d\phi +\int _{\mathbb {S} }F_{\theta }\ r\sin \theta drd\phi +\int _{\mathbb {S} }F_{\phi }\ rdrd\theta } 。 三维微分算子 主条目:向量分析和Nabla算子 算子 正交坐标公式 标量场的梯度 ∇ Φ = e ^ 1 1 h 1 ∂ Φ ∂ q 1 + e ^ 2 1 h 2 ∂ Φ ∂ q 2 + e ^ 3 1 h 3 ∂ Φ ∂ q 3 {\displaystyle \nabla \Phi ={\hat {\mathbf {e} ))_{1}{\frac {1}{h_{1))}{\frac {\partial \Phi }{\partial q_{1))}+{\hat {\mathbf {e} ))_{2}{\frac {1}{h_{2))}{\frac {\partial \Phi }{\partial q_{2))}+{\hat {\mathbf {e} ))_{3}{\frac {1}{h_{3))}{\frac {\partial \Phi }{\partial q_{3)))) 向量场的散度 ∇ ⋅ F = 1 h 1 h 2 h 3 [ ∂ ∂ q 1 ( F 1 h 2 h 3 ) + ∂ ∂ q 2 ( F 2 h 3 h 1 ) + ∂ ∂ q 3 ( F 3 h 1 h 2 ) ] {\displaystyle \nabla \cdot \mathbf {F} ={\frac {1}{h_{1}h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{1))}(F_{1}h_{2}h_{3})+{\frac {\partial }{\partial q_{2))}(F_{2}h_{3}h_{1})+{\frac {\partial }{\partial q_{3))}(F_{3}h_{1}h_{2})\right]} 向量场的旋度 ∇ × F = e 1 h 2 h 3 [ ∂ ∂ q 2 ( h 3 F 3 ) − ∂ ∂ q 3 ( h 2 F 2 ) ] + e 2 h 3 h 1 [ ∂ ∂ q 3 ( h 1 F 1 ) − ∂ ∂ q 1 ( h 3 F 3 ) ] + e 3 h 1 h 2 [ ∂ ∂ q 1 ( h 2 F 2 ) − ∂ ∂ q 2 ( h 1 F 1 ) ] {\displaystyle {\begin{aligned}\nabla \times \mathbf {F} &={\frac {\mathbf {e} _{1)){h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{2))}\left(h_{3}F_{3}\right)-{\frac {\partial }{\partial q_{3))}\left(h_{2}F_{2}\right)\right]+{\frac {\mathbf {e} _{2)){h_{3}h_{1))}\left[{\frac {\partial }{\partial q_{3))}\left(h_{1}F_{1}\right)-{\frac {\partial }{\partial q_{1))}\left(h_{3}F_{3}\right)\right]\\&+{\frac {\mathbf {e} _{3)){h_{1}h_{2))}\left[{\frac {\partial }{\partial q_{1))}\left(h_{2}F_{2}\right)-{\frac {\partial }{\partial q_{2))}\left(h_{1}F_{1}\right)\right]\\\end{aligned))} 标量场的拉普拉斯算子 ∇ 2 Φ = 1 h 1 h 2 h 3 [ ∂ ∂ q 1 ( h 2 h 3 h 1 ∂ Φ ∂ q 1 ) + ∂ ∂ q 2 ( h 3 h 1 h 2 ∂ Φ ∂ q 2 ) + ∂ ∂ q 3 ( h 1 h 2 h 3 ∂ Φ ∂ q 3 ) ] {\displaystyle \nabla ^{2}\Phi ={\frac {1}{h_{1}h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{1))}\left({\frac {h_{2}h_{3)){h_{1))}{\frac {\partial \Phi }{\partial q_{1))}\right)+{\frac {\partial }{\partial q_{2))}\left({\frac {h_{3}h_{1)){h_{2))}{\frac {\partial \Phi }{\partial q_{2))}\right)+{\frac {\partial }{\partial q_{3))}\left({\frac {h_{1}h_{2)){h_{3))}{\frac {\partial \Phi }{\partial q_{3))}\right)\right]} 上面表达式可以使用列维-奇维塔符号 ϵ {\displaystyle \epsilon } 的更简洁形式书写,定义 H = h 1 h 2 h 3 {\displaystyle H=h_{1}h_{2}h_{3)) ,并使用爱因斯坦记号,即在同时出现上标和下标的项目上求此项所有可能的总和: 算子 表达式 标量场的梯度 ∇ ϕ = e ^ k h k ∂ ϕ ∂ q k {\displaystyle \nabla \phi ={\frac ((\hat {\mathbf {e} ))_{k)){h_{k))}{\frac {\partial \phi }{\partial q^{k)))) 向量场的散度 ∇ ⋅ F = 1 H ∂ ∂ q k ( H h k F k ) {\displaystyle \nabla \cdot \mathbf {F} ={\frac {1}{H)){\frac {\partial }{\partial q^{k))}\left({\frac {H}{h_{k))}F_{k}\right)} 向量场(只3D)的旋度 ( ∇ × F ) k = h k e ^ k H ϵ i j k ∂ ∂ q i ( h j F j ) {\displaystyle \left(\nabla \times \mathbf {F} \right)_{k}={\frac {h_{k}{\hat {\mathbf {e} ))_{k)){H))\epsilon _{ijk}{\frac {\partial }{\partial q^{i))}\left(h_{j}F_{j}\right)} 标量场的拉普拉斯算子 ∇ 2 ϕ = 1 H ∂ ∂ q k ( H h k 2 ∂ ϕ ∂ q k ) {\displaystyle \nabla ^{2}\phi ={\frac {1}{H)){\frac {\partial }{\partial q^{k))}\left({\frac {H}{h_{k}^{2))}{\frac {\partial \phi }{\partial q^{k))}\right)} 二维正交坐标系表格 坐标系 复数变换 x + i y = f ( u + i v ) {\displaystyle x+iy=f(u+iv)} u {\displaystyle u} 和 v {\displaystyle v} 等值线的形状 注释 直角 u + i v {\displaystyle u+iv} 直线, 直线 对数极(英语:Log-polar coordinates) exp ( u + i v ) {\displaystyle \exp(u+iv)} 圆, 直线 若 u = ln r {\displaystyle u=\ln r} 则为极坐标系 抛物线 1 2 ( u + i v ) 2 {\displaystyle {\frac {1}{2))(u+iv)^{2)) 抛物线, 抛物线 点偶极 ( u + i v ) − 1 {\displaystyle (u+iv)^{-1)) 圆, 圆 椭圆 cosh ( u + i v ) {\displaystyle \cosh(u+iv)} 椭圆, 双曲线 对于大距离看似对数极 双极 coth ( u + i v ) {\displaystyle \coth(u+iv)} 圆, 圆 对于大距离看似点偶极 u + i v {\displaystyle {\sqrt {u+iv))} 双曲线, 双曲线 u = x 2 + 2 y 2 , y = v x 2 {\displaystyle u=x^{2}+2y^{2},\ y=vx^{2)) 椭圆, 抛物线 直角单极对数极椭圆-抛物线抛物线点偶极sqrt(u+iv)椭圆双极反对数极 三维正交坐标系表格 除了直角坐标系之外,下表列出其他常见的正交坐标系[3],为了简明性在坐标列中使用了区间符号。 曲线坐标 (q1, q2, q3) 从直角坐标(x, y, z)转换 缩放因子 球极坐标系 ( r , θ , ϕ ) ∈ [ 0 , ∞ ) × [ 0 , π ] × [ 0 , 2 π ) {\displaystyle (r,\theta ,\phi )\in [0,\infty )\times [0,\pi ]\times [0,2\pi )} x = r sin θ cos ϕ y = r sin θ sin ϕ z = r cos θ {\displaystyle {\begin{aligned}x&=r\sin \theta \cos \phi \\y&=r\sin \theta \sin \phi \\z&=r\cos \theta \end{aligned))} h 1 = 1 h 2 = r h 3 = r sin θ {\displaystyle {\begin{aligned}h_{1}&=1\\h_{2}&=r\\h_{3}&=r\sin \theta \end{aligned))} 圆柱坐标系 ( ρ , ϕ , z ) ∈ [ 0 , ∞ ) × [ 0 , 2 π ) × ( − ∞ , ∞ ) {\displaystyle (\rho ,\phi ,z)\in [0,\infty )\times [0,2\pi )\times (-\infty ,\infty )} x = ρ cos ϕ y = ρ sin ϕ z = z {\displaystyle {\begin{aligned}x&=\rho \cos \phi \\y&=\rho \sin \phi \\z&=z\end{aligned))} h 1 = h 3 = 1 h 2 = ρ {\displaystyle {\begin{aligned}h_{1}&=h_{3}=1\\h_{2}&=\rho \end{aligned))} 抛物柱面坐标系 ( u , v , z ) ∈ ( − ∞ , ∞ ) × [ 0 , ∞ ) × ( − ∞ , ∞ ) {\displaystyle (u,v,z)\in (-\infty ,\infty )\times [0,\infty )\times (-\infty ,\infty )} x = 1 2 ( u 2 − v 2 ) y = u v z = z {\displaystyle {\begin{aligned}x&={\frac {1}{2))(u^{2}-v^{2})\\y&=uv\\z&=z\end{aligned))} h 1 = h 2 = u 2 + v 2 h 3 = 1 {\displaystyle {\begin{aligned}h_{1}&=h_{2}={\sqrt {u^{2}+v^{2))}\\h_{3}&=1\end{aligned))} 抛物线坐标系 ( u , v , ϕ ) ∈ [ 0 , ∞ ) × [ 0 , ∞ ) × [ 0 , 2 π ) {\displaystyle (u,v,\phi )\in [0,\infty )\times [0,\infty )\times [0,2\pi )} x = u v cos ϕ y = u v sin ϕ z = 1 2 ( u 2 − v 2 ) {\displaystyle {\begin{aligned}x&=uv\cos \phi \\y&=uv\sin \phi \\z&={\frac {1}{2))(u^{2}-v^{2})\end{aligned))} h 1 = h 2 = u 2 + v 2 h 3 = u v {\displaystyle {\begin{aligned}h_{1}&=h_{2}={\sqrt {u^{2}+v^{2))}\\h_{3}&=uv\end{aligned))} 椭圆柱坐标系 ( u , v , z ) ∈ [ 0 , ∞ ) × [ 0 , 2 π ) × ( − ∞ , ∞ ) {\displaystyle (u,v,z)\in [0,\infty )\times [0,2\pi )\times (-\infty ,\infty )} x = a cosh u cos v y = a sinh u sin v z = z {\displaystyle {\begin{aligned}x&=a\cosh u\cos v\\y&=a\sinh u\sin v\\z&=z\end{aligned))} h 1 = h 2 = a sinh 2 u + sin 2 v h 3 = 1 {\displaystyle {\begin{aligned}h_{1}&=h_{2}=a{\sqrt {\sinh ^{2}u+\sin ^{2}v))\\h_{3}&=1\end{aligned))} 长球面坐标系 ( ξ , η , ϕ ) ∈ [ 0 , ∞ ) × [ 0 , π ] × [ 0 , 2 π ) {\displaystyle (\xi ,\eta ,\phi )\in [0,\infty )\times [0,\pi ]\times [0,2\pi )} x = a sinh ξ sin η cos ϕ y = a sinh ξ sin η sin ϕ z = a cosh ξ cos η {\displaystyle {\begin{aligned}x&=a\sinh \xi \sin \eta \cos \phi \\y&=a\sinh \xi \sin \eta \sin \phi \\z&=a\cosh \xi \cos \eta \end{aligned))} h 1 = h 2 = a sinh 2 ξ + sin 2 η h 3 = a sinh ξ sin η {\displaystyle {\begin{aligned}h_{1}&=h_{2}=a{\sqrt {\sinh ^{2}\xi +\sin ^{2}\eta ))\\h_{3}&=a\sinh \xi \sin \eta \end{aligned))} 扁球面坐标系 ( ξ , η , ϕ ) ∈ [ 0 , ∞ ) × [ − π 2 , π 2 ] × [ 0 , 2 π ) {\displaystyle (\xi ,\eta ,\phi )\in [0,\infty )\times \left[-{\frac {\pi }{2)),{\frac {\pi }{2))\right]\times [0,2\pi )} x = a cosh ξ cos η cos ϕ y = a cosh ξ cos η sin ϕ z = a sinh ξ sin η {\displaystyle {\begin{aligned}x&=a\cosh \xi \cos \eta \cos \phi \\y&=a\cosh \xi \cos \eta \sin \phi \\z&=a\sinh \xi \sin \eta \end{aligned))} h 1 = h 2 = a sinh 2 ξ + sin 2 η h 3 = a cosh ξ cos η {\displaystyle {\begin{aligned}h_{1}&=h_{2}=a{\sqrt {\sinh ^{2}\xi +\sin ^{2}\eta ))\\h_{3}&=a\cosh \xi \cos \eta \end{aligned))} 双极圆柱坐标系 ( u , v , z ) ∈ [ 0 , 2 π ) × ( − ∞ , ∞ ) × ( − ∞ , ∞ ) {\displaystyle (u,v,z)\in [0,2\pi )\times (-\infty ,\infty )\times (-\infty ,\infty )} x = a sinh v cosh v − cos u y = a sin u cosh v − cos u z = z {\displaystyle {\begin{aligned}x&={\frac {a\sinh v}{\cosh v-\cos u))\\y&={\frac {a\sin u}{\cosh v-\cos u))\\z&=z\end{aligned))} h 1 = h 2 = a cosh v − cos u h 3 = 1 {\displaystyle {\begin{aligned}h_{1}&=h_{2}={\frac {a}{\cosh v-\cos u))\\h_{3}&=1\end{aligned))} 圆环坐标系 ( u , v , ϕ ) ∈ ( − π , π ] × [ 0 , ∞ ) × [ 0 , 2 π ) {\displaystyle (u,v,\phi )\in (-\pi ,\pi ]\times [0,\infty )\times [0,2\pi )} x = a sinh v cos ϕ cosh v − cos u y = a sinh v sin ϕ cosh v − cos u z = a sin u cosh v − cos u {\displaystyle {\begin{aligned}x&={\frac {a\sinh v\cos \phi }{\cosh v-\cos u))\\y&={\frac {a\sinh v\sin \phi }{\cosh v-\cos u))\\z&={\frac {a\sin u}{\cosh v-\cos u))\end{aligned))} h 1 = h 2 = a cosh v − cos u h 3 = a sinh v cosh v − cos u {\displaystyle {\begin{aligned}h_{1}&=h_{2}={\frac {a}{\cosh v-\cos u))\\h_{3}&={\frac {a\sinh v}{\cosh v-\cos u))\end{aligned))} 双球坐标系 ( u , v , ϕ ) ∈ ( − π , π ] × [ 0 , ∞ ) × [ 0 , 2 π ) {\displaystyle (u,v,\phi )\in (-\pi ,\pi ]\times [0,\infty )\times [0,2\pi )} x = a sin u cos ϕ cosh v − cos u y = a sin u sin ϕ cosh v − cos u z = a sinh v cosh v − cos u {\displaystyle {\begin{aligned}x&={\frac {a\sin u\cos \phi }{\cosh v-\cos u))\\y&={\frac {a\sin u\sin \phi }{\cosh v-\cos u))\\z&={\frac {a\sinh v}{\cosh v-\cos u))\end{aligned))} h 1 = h 2 = a cosh v − cos u h 3 = a sin u cosh v − cos u {\displaystyle {\begin{aligned}h_{1}&=h_{2}={\frac {a}{\cosh v-\cos u))\\h_{3}&={\frac {a\sin u}{\cosh v-\cos u))\end{aligned))} 圆锥坐标系 ( λ , μ , ν ) ν 2 < b 2 < μ 2 < a 2 λ ∈ [ 0 , ∞ ) {\displaystyle {\begin{aligned}&(\lambda ,\mu ,\nu )\\&\nu ^{2}<b^{2}<\mu ^{2}<a^{2}\\&\lambda \in [0,\infty )\end{aligned))} x = λ μ ν a b y = λ a ( μ 2 − a 2 ) ( ν 2 − a 2 ) a 2 − b 2 z = λ b ( μ 2 − b 2 ) ( ν 2 − b 2 ) a 2 − b 2 {\displaystyle {\begin{aligned}x&={\frac {\lambda \mu \nu }{ab))\\y&={\frac {\lambda }{a)){\sqrt {\frac {(\mu ^{2}-a^{2})(\nu ^{2}-a^{2})}{a^{2}-b^{2))))\\z&={\frac {\lambda }{b)){\sqrt {\frac {(\mu ^{2}-b^{2})(\nu ^{2}-b^{2})}{a^{2}-b^{2))))\end{aligned))} h 1 = 1 h 2 2 = λ 2 ( μ 2 − ν 2 ) ( μ 2 − a 2 ) ( b 2 − μ 2 ) h 3 2 = λ 2 ( μ 2 − ν 2 ) ( ν 2 − a 2 ) ( ν 2 − b 2 ) {\displaystyle {\begin{aligned}h_{1}&=1\\h_{2}^{2}&={\frac {\lambda ^{2}(\mu ^{2}-\nu ^{2})}{(\mu ^{2}-a^{2})(b^{2}-\mu ^{2})))\\h_{3}^{2}&={\frac {\lambda ^{2}(\mu ^{2}-\nu ^{2})}{(\nu ^{2}-a^{2})(\nu ^{2}-b^{2})))\end{aligned))} 抛物面坐标系 ( λ , μ , ν ) λ < b 2 < μ < a 2 < ν {\displaystyle {\begin{aligned}&(\lambda ,\mu ,\nu )\\&\lambda <b^{2}<\mu <a^{2}<\nu \end{aligned))} x 2 q i − a 2 + y 2 q i − b 2 = 2 z + q i {\displaystyle {\frac {x^{2)){q_{i}-a^{2))}+{\frac {y^{2)){q_{i}-b^{2))}=2z+q_{i)) 其中 ( q 1 , q 2 , q 3 ) = ( λ , μ , ν ) {\displaystyle (q_{1},q_{2},q_{3})=(\lambda ,\mu ,\nu )} h i = 1 2 ( q j − q i ) ( q k − q i ) ( a 2 − q i ) ( b 2 − q i ) {\displaystyle h_{i}={\frac {1}{2)){\sqrt {\frac {(q_{j}-q_{i})(q_{k}-q_{i})}{(a^{2}-q_{i})(b^{2}-q_{i}))))) 椭球坐标系 ( λ , μ , ν ) λ < c 2 < b 2 < a 2 , c 2 < μ < b 2 < a 2 , c 2 < b 2 < ν < a 2 , {\displaystyle {\begin{aligned}&(\lambda ,\mu ,\nu )\\&\lambda <c^{2}<b^{2}<a^{2},\\&c^{2}<\mu <b^{2}<a^{2},\\&c^{2}<b^{2}<\nu <a^{2},\end{aligned))} x 2 a 2 − q i + y 2 b 2 − q i + z 2 c 2 − q i = 1 {\displaystyle {\frac {x^{2)){a^{2}-q_{i))}+{\frac {y^{2)){b^{2}-q_{i))}+{\frac {z^{2)){c^{2}-q_{i))}=1} 其中 ( q 1 , q 2 , q 3 ) = ( λ , μ , ν ) {\displaystyle (q_{1},q_{2},q_{3})=(\lambda ,\mu ,\nu )} h i = 1 2 ( q j − q i ) ( q k − q i ) ( a 2 − q i ) ( b 2 − q i ) ( c 2 − q i ) {\displaystyle h_{i}={\frac {1}{2)){\sqrt {\frac {(q_{j}-q_{i})(q_{k}-q_{i})}{(a^{2}-q_{i})(b^{2}-q_{i})(c^{2}-q_{i}))))) 微分算子导引 梯度导引 一个函数 ϕ {\displaystyle \phi } 的梯度朝某个方向 n ^ {\displaystyle {\hat {\mathbf {n} ))} 的分量,等于方向导数 d ϕ d s {\displaystyle {\frac {d\phi }{ds))} 朝 n ^ {\displaystyle {\hat {\mathbf {n} ))} 方向的值: ∇ Φ ⋅ n ^ = d ϕ d s {\displaystyle \nabla \Phi \cdot {\hat {\mathbf {n} ))={\frac {d\phi }{ds))} ;其中, d s {\displaystyle ds} 是朝 n ^ {\displaystyle {\hat {\mathbf {n} ))} 方向的无穷小位移。 假若,这 n ^ {\displaystyle {\hat {\mathbf {n} ))} 与正交坐标轴 e ^ i {\displaystyle {\hat {\mathbf {e} ))_{i)) 同方向。那么, d s = h i d q i {\displaystyle ds=h_{i}dq_{i)) 。所以,函数 ϕ {\displaystyle \phi } 的梯度朝 e ^ i {\displaystyle {\hat {\mathbf {e} ))_{i)) 的分量是 ∂ ϕ h i ∂ q i {\displaystyle {\frac {\partial \phi }{h_{i}\partial q_{i)))) ;也就是说, ∇ Φ = e ^ 1 1 h 1 ∂ Φ ∂ q 1 + e ^ 2 1 h 2 ∂ Φ ∂ q 2 + e ^ 3 1 h 3 ∂ Φ ∂ q 3 {\displaystyle \nabla \Phi ={\hat {\mathbf {e} ))_{1}{\frac {1}{h_{1))}{\frac {\partial \Phi }{\partial q_{1))}+{\hat {\mathbf {e} ))_{2}{\frac {1}{h_{2))}{\frac {\partial \Phi }{\partial q_{2))}+{\hat {\mathbf {e} ))_{3}{\frac {1}{h_{3))}{\frac {\partial \Phi }{\partial q_{3)))) 。 散度导引 ∇ ⋅ F = ∇ ⋅ ( e ^ 1 F 1 + e ^ 2 F 2 + e ^ 3 F 3 ) {\displaystyle \nabla \cdot \mathbf {F} =\nabla \cdot ({\hat {\mathbf {e} ))_{1}F_{1}+{\hat {\mathbf {e} ))_{2}F_{2}+{\hat {\mathbf {e} ))_{3}F_{3})} 。取右手边第一个项目, ∇ ⋅ ( e ^ 1 F 1 ) = ∇ ⋅ [ ( e ^ 1 h 2 h 3 ) ( h 2 h 3 F 1 ) ] {\displaystyle \nabla \cdot ({\hat {\mathbf {e} ))_{1}F_{1})=\nabla \cdot \left[\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{2}h_{3))}\right)\left(h_{2}h_{3}F_{1}\right)\right]} 。应用向量恒等式 ∇ ⋅ ( A ϕ ) = ϕ ∇ ⋅ A + A ⋅ ( ∇ ϕ ) {\displaystyle \nabla \cdot (\mathbf {A} \phi )=\phi \nabla \cdot \mathbf {A} +\mathbf {A} \cdot (\nabla \phi )} 与 ∇ ⋅ ( ∇ ϕ 1 × ∇ ϕ 2 ) = 0 {\displaystyle \nabla \cdot (\nabla \phi _{1}\times \nabla \phi _{2})=0} ,可以得到 ∇ ⋅ ( e ^ 1 F 1 ) = ( h 2 h 3 F 1 ) ∇ ⋅ ( e ^ 1 h 2 h 3 ) + ( e ^ 1 h 2 h 3 ) ⋅ ∇ ( h 2 h 3 F 1 ) = ( h 2 h 3 F 1 ) ∇ ⋅ [ ( ∇ q 2 ) × ∇ ( q 3 ) ] + ( e ^ 1 h 2 h 3 ) ⋅ ∇ ( h 2 h 3 F 1 ) = ( e ^ 1 h 2 h 3 ) ⋅ ∇ ( h 2 h 3 F 1 ) = 1 h 1 h 2 h 3 ∂ ∂ q 1 ( F 1 h 2 h 3 ) {\displaystyle {\begin{aligned}\nabla \cdot ({\hat {\mathbf {e} ))_{1}F_{1})&=(h_{2}h_{3}F_{1})\nabla \cdot \left({\frac ((\hat {\mathbf {e} ))_{1)){h_{2}h_{3))}\right)+\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{2}h_{3))}\right)\cdot \nabla (h_{2}h_{3}F_{1})\\&=(h_{2}h_{3}F_{1})\nabla \cdot [(\nabla q_{2})\times \nabla (q_{3})]+\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{2}h_{3))}\right)\cdot \nabla (h_{2}h_{3}F_{1})\\&=\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{2}h_{3))}\right)\cdot \nabla (h_{2}h_{3}F_{1})\\&={\frac {1}{h_{1}h_{2}h_{3))}{\frac {\partial }{\partial q_{1))}(F_{1}h_{2}h_{3})\\\end{aligned))} 。总合所有项目, ∇ ⋅ F = 1 h 1 h 2 h 3 [ ∂ ∂ q 1 ( F 1 h 2 h 3 ) + ∂ ∂ q 2 ( F 2 h 3 h 1 ) + ∂ ∂ q 3 ( F 3 h 1 h 2 ) ] {\displaystyle \nabla \cdot \mathbf {F} ={\frac {1}{h_{1}h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{1))}(F_{1}h_{2}h_{3})+{\frac {\partial }{\partial q_{2))}(F_{2}h_{3}h_{1})+{\frac {\partial }{\partial q_{3))}(F_{3}h_{1}h_{2})\right]} 。 旋度导引 ∇ × F = ∇ × ( e ^ 1 F 1 + e ^ 2 F 2 + e ^ 3 F 3 ) {\displaystyle \nabla \times \mathbf {F} =\nabla \times ({\hat {\mathbf {e} ))_{1}F_{1}+{\hat {\mathbf {e} ))_{2}F_{2}+{\hat {\mathbf {e} ))_{3}F_{3})} 。取右手边第一个项目, ∇ × ( e ^ 1 F 1 ) = ∇ × [ ( e ^ 1 h 1 ) ( h 1 F 1 ) ] {\displaystyle \nabla \times ({\hat {\mathbf {e} ))_{1}F_{1})=\nabla \times \left[\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{1))}\right)\left(h_{1}F_{1}\right)\right]} 。应用向量恒等式 ∇ × ( A ϕ ) = ϕ ∇ × A − A × ( ∇ ϕ ) {\displaystyle \nabla \times (\mathbf {A} \phi )=\phi \nabla \times \mathbf {A} -\mathbf {A} \times (\nabla \phi )} , ∇ × ( e ^ 1 F 1 ) = ( h 1 F 1 ) ∇ × ( e ^ 1 h 1 ) − ( e ^ 1 h 1 ) × ∇ ( h 1 F 1 ) = ( h 1 F 1 ) ∇ × ( ∇ q 1 ) − ( e ^ 1 h 1 ) × ( e ^ 2 h 2 ∂ ∂ q 2 ( h 1 F 1 ) + e ^ 3 h 3 ∂ ∂ q 3 ( h 1 F 1 ) ) {\displaystyle {\begin{aligned}\nabla \times ({\hat {\mathbf {e} ))_{1}F_{1})&=(h_{1}F_{1})\nabla \times \left({\frac ((\hat {\mathbf {e} ))_{1)){h_{1))}\right)-\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{1))}\right)\times \nabla (h_{1}F_{1})\\&=(h_{1}F_{1})\nabla \times (\nabla q_{1})-\left({\frac ((\hat {\mathbf {e} ))_{1)){h_{1))}\right)\times \left({\frac ((\hat {\mathbf {e} ))_{2)){h_{2))}{\frac {\partial }{\partial q_{2))}(h_{1}F_{1})+{\frac ((\hat {\mathbf {e} ))_{3)){h_{3))}{\frac {\partial }{\partial q_{3))}(h_{1}F_{1})\right)\\\end{aligned))} 。应用向量恒等式 ∇ × ( ∇ ϕ ) = 0 {\displaystyle \nabla \times (\nabla \phi )=0} , ∇ × ( e ^ 1 F 1 ) = e ^ 2 h 1 h 3 ∂ ∂ q 3 ( h 1 F 1 ) − e ^ 3 h 1 h 2 ∂ ∂ q 2 ( h 1 F 1 ) {\displaystyle \nabla \times ({\hat {\mathbf {e} ))_{1}F_{1})={\frac ((\hat {\mathbf {e} ))_{2)){h_{1}h_{3))}{\frac {\partial }{\partial q_{3))}(h_{1}F_{1})-{\frac ((\hat {\mathbf {e} ))_{3)){h_{1}h_{2))}{\frac {\partial }{\partial q_{2))}(h_{1}F_{1})} 。总合所有项目, ∇ × F = e 1 h 2 h 3 [ ∂ ∂ q 2 ( h 3 F 3 ) − ∂ ∂ q 3 ( h 2 F 2 ) ] + e 2 h 3 h 1 [ ∂ ∂ q 3 ( h 1 F 1 ) − ∂ ∂ q 1 ( h 3 F 3 ) ] + e 3 h 1 h 2 [ ∂ ∂ q 1 ( h 2 F 2 ) − ∂ ∂ q 2 ( h 1 F 1 ) ] {\displaystyle {\begin{aligned}\nabla \times \mathbf {F} &={\frac {\mathbf {e} _{1)){h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{2))}\left(h_{3}F_{3}\right)-{\frac {\partial }{\partial q_{3))}\left(h_{2}F_{2}\right)\right]+{\frac {\mathbf {e} _{2)){h_{3}h_{1))}\left[{\frac {\partial }{\partial q_{3))}\left(h_{1}F_{1}\right)-{\frac {\partial }{\partial q_{1))}\left(h_{3}F_{3}\right)\right]\\&+{\frac {\mathbf {e} _{3)){h_{1}h_{2))}\left[{\frac {\partial }{\partial q_{1))}\left(h_{2}F_{2}\right)-{\frac {\partial }{\partial q_{2))}\left(h_{1}F_{1}\right)\right]\\\end{aligned))} 。 拉普拉斯算子 ∇ 2 Φ = 1 h 1 h 2 h 3 [ ∂ ∂ q 1 ( h 2 h 3 h 1 ∂ Φ ∂ q 1 ) + ∂ ∂ q 2 ( h 3 h 1 h 2 ∂ Φ ∂ q 2 ) + ∂ ∂ q 3 ( h 1 h 2 h 3 ∂ Φ ∂ q 3 ) ] {\displaystyle \nabla ^{2}\Phi ={\frac {1}{h_{1}h_{2}h_{3))}\left[{\frac {\partial }{\partial q_{1))}\left({\frac {h_{2}h_{3)){h_{1))}{\frac {\partial \Phi }{\partial q_{1))}\right)+{\frac {\partial }{\partial q_{2))}\left({\frac {h_{3}h_{1)){h_{2))}{\frac {\partial \Phi }{\partial q_{2))}\right)+{\frac {\partial }{\partial q_{3))}\left({\frac {h_{1}h_{2)){h_{3))}{\frac {\partial \Phi }{\partial q_{3))}\right)\right]} 。 引用 ^ Eric W. Weisstein. Orthogonal Coordinate System. MathWorld. [10 July 2008]. (原始内容存档于2014-11-12). ^ Morse and Feshbach 1953,Volume 1, pp. 494-523, 655-666. harvnb error: no target: CITEREFMorse_and_Feshbach1953 (help) ^ Vector Analysis (2nd Edition), M.R. Spiegel, S. Lipschutz, D. Spellman, Schaum’s Outlines, McGraw Hill (USA), 2009, ISBN 978-0-07-161545-7 参见 坐标系 曲线坐标系 斜交坐标系(度规张量有非对角项目) 在圆柱和球坐标系中的del 参考文献 Korn GA and Korn TM. (1961) Mathematical Handbook for Scientists and Engineers, McGraw-Hill, pp. 164-182。Morse PM and Feshbach H. (1953) Methods of Theoretical Physics, McGraw-Hill, pp. 494-523, 655-666。Margenau H. and Murphy GM. (1956) The Mathematics of Physics and Chemistry, 2nd. ed., Van Nostrand, pp. 172-192。查论编正交坐标系二维正交坐标系 笛卡儿坐标系 极坐标系 抛物线坐标系 双极坐标系 椭圆坐标系 三维正交坐标系 直角坐标系 圆柱坐标系 球坐标系 旋转抛物线坐标系 抛物柱面坐标系 抛物面坐标系 扁球面坐标系 长球面坐标系 椭球坐标系 椭圆柱坐标系 圆环坐标系 双球坐标系 双极圆柱坐标系 圆锥坐标系 分类 分类:坐标系 {{bottomLinkPreText}} {{bottomLinkText}} This page is based on a Wikipedia article written by contributors (read/edit). 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