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C.10 · Implicit differentiation and the inverse Jacobian

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This unit differentiates a coupled implicit system as a linear system, uses a nonzero Jacobian determinant to justify a local inverse, and distinguishes inverse partial derivatives from scalar reciprocal rules. 本单元把耦合的隐式方程组当作线性方程组求导,用非零的雅可比行列式说明局部逆的存在,并区分逆映射的偏导数与一元的倒数法则。
For a map from u, v to x, y with Jacobian J, small changes satisfy d x, d y equals J times d u, d v. 对从 (u, v) 到 (x, y)、雅可比矩阵为 J 的映射,微小变化满足 (dx, dy) = J(du, dv)。
To find u x with y held fixed, differentiate both equations with respect to x. 要在 y 固定时求 u_x,就对两个方程都关于 x 求导。
The result is a coupled linear system, not two independent scalar rules. 结果是一个耦合的线性方程组,而不是两个独立的一元法则。
If the partials are continuous and the determinant is nonzero, there is a differentiable local inverse, and its derivative is J inverse. 若偏导数连续且行列式非零,就存在可微的局部逆,其导数是 J⁻¹。
Reading off the entries: u x is g v over the determinant, u y is minus f v over it, and so on. 读出各元素:u_x = g_v/det J,u_y = −f_v/det J,依此类推。
Evaluate at the matching point. 在对应的点处求值。
A local inverse need not be global. 局部逆不一定能延拓为全局逆。
For implicit equations, solve the linear system in u x and v x, with the determinant in the unknowns nonzero; a zero determinant leaves the theorem inconclusive. 对隐式方程,解关于 u_x、v_x 的线性方程组,未知量的行列式须非零;行列式为零时定理无法下结论。
The scalar rule 1 over dx du usually fails: for x equals u plus v, y equals u plus 2v, u x is 2, not 1, because v changes to keep y fixed. 一元法则 1/(dx/du) 通常不成立:对 x = u + v,y = u + 2v,u_x = 2 而不是 1,因为要保持 y 不变,v 也随之改变。
At 1, 0 the output is 1, 1, and J has determinant minus 3. 在 (1, 0) 处,输出为 (1, 1),J 的行列式为 −3。
J stretches a small square into a parallelogram of area 3, the absolute determinant, and reverses its orientation. J 把一个小正方形拉伸成面积为 3(行列式的绝对值)的平行四边形,并反转其定向。
Inverting gives u x equals 1 third, not 1 half, and v y equals minus 2 thirds. 求逆得 u_x = 1/3(不是 1/2),v_y = −2/3。
Differentiate both equations and state which output is held fixed. 对两个方程都求导,并说明哪个输出保持不变。
A nonzero determinant guarantees a local inverse under the regularity hypotheses; a zero one is not a proof of impossibility. 在正则性条件下,行列式非零保证局部逆存在;行列式为零并不能证明不可能。
Use inverse entries for sensitivities and the absolute determinant for integrals. 灵敏度用逆矩阵的元素,积分用行列式的绝对值。
The Jacobian has determinant minus 3, nonzero, so a local inverse exists. 雅可比行列式为 −3,非零,所以局部逆存在。
Its inverse has rows u x, u y equal to 1 third, 1 third, and v x, v y equal to 1 third, minus 2 thirds, at output 1, 1. 逆矩阵的行在输出 (1, 1) 处为 (u_x, u_y) = (1/3, 1/3) 和 (v_x, v_y) = (1/3, −2/3)。
Multiplying gives the identity. 相乘得单位矩阵。
The determinant is 4 times u squared plus v squared, positive away from the origin, so each such point has a local inverse. 行列式是 4(u² + v²),在原点以外为正,所以每个这样的点都有局部逆。
But F of u, v equals F of minus u, minus v, so F is not globally injective. 但 F(u, v) = F(−u, −v),所以 F 不是全局单射。
At the origin the theorem is silent: the cube map is bijective despite a zero derivative. 在原点处定理不下结论:立方映射尽管导数为零,仍是双射。
Check yourself. 自我检测。
For u plus v and u plus 2v, u x is 2. 对 u + v 和 u + 2v,u_x = 2。
A local inverse needs a nonzero determinant; a zero one proves nothing by itself. 局部逆需要行列式非零;行列式为零本身什么也证明不了。
The squaring map is locally but not globally invertible. 平方映射局部可逆,但全局不可逆。
And integrals use the absolute determinant. 积分使用行列式的绝对值。

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