请教各位大侠,划线句子怎么理解比较好
Theorem 12 is the key to the method of Lagrange multipliers. Suppose that ƒ(x, y, z) and g(x, y, z) are differentiable and that P0 is a point on the surface g(x, y, z) = 0 where ƒ has a local maximum or minimum value relative to its other values on the surface. We assume also that ∇g ≠ 0 at points on the surface g(x, y, z) = 0. Then ƒ takes on a local maximum or minimum at P0 relative to its values on every differentiable curve through P0 on the surface g(x, y, z) = 0. Therefore, ∇ƒ is orthogonal to the tangent vector of every such differentiable curve through P0. So is ∇g, moreover (because ∇g is orthogonal to the level surface g = 0, as we saw in Section 14.5). Therefore, at P0, ∇ƒ is some scalar multiple l of ∇g.
附:theorem 12—the orthogonal Gradient theorem Suppose that ƒ(x, y, z) is differentiable in a region whose interior contains a smooth curve C: r(t) = x(t)i + y(t)j + z(t)k. If P0 is a point on C where ƒ has a local maximum or minimum relative to its values on C, then ∇ƒ is orthogonal to C at P0.
文章出自Thomas' Calculus 13th,第13.8章节
根据定理12,梯度f是垂直于通过P0出的曲线C,梯度g垂直于曲面,推导出梯度g垂直于通过P0出的曲线C,然后P0位于曲面g(x,y,z)=0上,根据这个就可以得出拉格朗日乘数法。
附:The Method of Lagrange Multipliers
Suppose that ƒ(x, y, z) and g(x, y, z) are differentiable and ∇g ≠ 0 when g(x, y, z) = 0. To find
the local maximum and minimum values of ƒ subject to the constraint g(x, y, z) = 0 (if these exist),
find the values of x, y, z, and l that simultaneously satisfy the equations
∇ƒ = a∇g and g(x, y, z) = 0.
For functions of two independent variables, the condition is similar, but without the variable z.
这些就是我理解后所总结的,我刚开始接触这个,先做个标记,以后学习场论再来瞧瞧