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台灣大學 113 年度 微積分(B)

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Derivatives of multi-variable functions 2The Limit of a Function 1Multiple integrals 1Vector calculus 1

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PART 1: Fill in the blanks

Please ensure that each answer is clearly labeled with the corresponding blank number. Please note that only the final answers will be graded, and each blank is worth 5 points.
150The Limit of a Function
(a)5
limx0xtanx1lnx=\lim\limits_{x \to 0} |x - \tan x|^{\frac{1}{ln|x|}} = __(1)__.
(b)10
The 3rd degree Taylor polynomial of (1+3x)6(1 + 3x)^6 at x=0x = 0 is __(2)__.
limx(x2(1+3x)ex23ex)=\lim\limits_{x \to \infty} \left( x^2 \left( 1 + \frac{3}{x} \right)^e - x^2 - 3ex \right) = __(3)__.
215Derivatives of multi-variable functions
Assume that the equation 2y2=x+y2y^2 = x + y

defines yy as an implicit function of xx, denoted by y=f(x)y = f(x), near the point (x,y)=(0,2)(x,y) = (0,2). f(0)=f'(0) = __(4)__. The tangent plane of the graph of g(x,y)=2y2xy+1g(x,y) = 2y^2 - x - y + 1 at (0,2,1)(0,2,1) is __(5)__.
315Multiple integrals
Compute the integrals.
14x2+4xdx=\int \frac{1}{\sqrt{4x^2 + 4x}} dx = __(6)__.
01x2(x2+1)2dx=\int_0^1 \frac{x^2}{(x^2 + 1)^2} dx = __(7)__.
DyxdA=\iint_D \frac{y}{x} dA = __(8)__, where DD is the region in the first quadrant bounded by x2+y2=14x^2 + y^2 = \frac{1}{4}, x2+y2=xx^2 + y^2 = x, y=xy = x, and y=0y = 0.
410Vector calculus
Let F(x,y,z)=xzi+yzj+(z+ey2)k\mathbf{F}(x,y,z) = xz\mathbf{i} + yz\mathbf{j} + (-z + ey^2)\mathbf{k} and SS be the part of the cylinder x2+y2=1x^2 + y^2 = 1 between planes z=0z = 0 and z=2+xz = 2 + x with outward orientation. A parametrization of the surface SS is __(9)__. The flux of F\mathbf{F} through SS is __(10)__.

PART 2:

Please solve the following problems and provide computations as well as explanations. Partial credits are allocated according to the level of completeness in your work.
130Derivatives
Suppose that f(x)f(x) is a function defined on R\mathbb{R} satisfying the following properties.
f(x)f(0)3xx2|f(x) - f(0) - 3x| \leq x^2 for x1|x| \leq 1.
f(x+y)=f(x)+f(y)+xy(x+y)f(x + y) = f(x) + f(y) + xy(x + y) for all x,yRx, y \in \mathbb{R}.
(a)5
(5%) Find f(0)f(0) and f(0)f'(0).
(b)7
(7%) Show that f(x)f(x) is differentiable and find f(x)f'(x).
(c)8
(8%) Show that f(x)f(x) is one-to-one and find ddxf1(x)x=103\frac{d}{dx} f^{-1}(x) \Big|_{x=\frac{10}{3}}.
(d)10
(10%) Show that for any a<ba < b,
f(a)f(b)f1(x)dx=bf(b)af(a)abf(x)dx\int_{f(a)}^{f(b)} f^{-1}(x) dx = bf(b) - af(a) - \int_a^b f(x) dx.

Find 0103f1(x)dx\int_0^{\frac{10}{3}} f^{-1}(x) dx.
220Derivatives of multi-variable functions
(a)10
(10%) Find the maximum value of f(x,y,z)=zf(x,y,z) = z on the curve of the intersection of x+y+z=1x + y + z = 1 and x2+y2+z2=3x^2 + y^2 + z^2 = 3.
(b)5
(5%) f(x,y,z),g(x,y,z),h(x,y,z)f(x,y,z), g(x,y,z), h(x,y,z) are differentiable functions. Assume that ff obtains a local maximum value at (x0,y0,z0)(x_0, y_0, z_0) when restricted to g(x,y,z)=cg(x,y,z) = c and h(x,y,z)=kh(x,y,z) = k. It is known that f(x0,y0,z0)=λg(x0,y0,z0)+μh(x0,y0,z0)\nabla f(x_0, y_0, z_0) = \lambda \nabla g(x_0, y_0, z_0) + \mu \nabla h(x_0, y_0, z_0) for some constants λ\lambda and μ\mu. Suppose that f(x,y,z)f(x,y,z) obtains new local maximum at (x1,y1,z1)(x_1, y_1, z_1) when restricted to g(x,y,z)=cg(x,y,z) = c and h(x,y,z)=k+ϵh(x,y,z) = k + \epsilon where ϵ|\epsilon| is small and (x1,y1,z1)(x_1, y_1, z_1) is close to (x0,y0,z0)(x_0, y_0, z_0). Show by the linear approximation that we can approximate f(x1,y1,z1)f(x0,y0,z0)f(x_1, y_1, z_1) - f(x_0, y_0, z_0) by μϵ\mu \cdot \epsilon.
(c)5
(5%) Estimate, by linear approximation, the maximum value of f(x,y,z)=zf(x,y,z) = z on the curve of the intersection of x+y+z=1x + y + z = 1 and x2+y2+z2=3.02x^2 + y^2 + z^2 = 3.02.