Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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- compute the limit, multivariable calculus vectors vector calculusarrow_forward2. Let f : R" → R be a continuously differentiable function, while a E R" is its non-stationary point (i.e., Vf(x) # 0). Moreover, let d* be the vector defined by Vf(x) ||Vf(x)||' d* = - while d is any unit vector in R" different from d* (i.e., d e R", ||d|| = 1, d + d*). Show that there exist real numbers d E (0, 00), ɛ E (0, 0) such that %3D f(x + td*) – f(x + td) 0. (ii) For t z 0, approximate f(x+td*) and f(x+td) using the first-order Taylor polynomial of f(x) at x.arrow_forward13. Find an equation for the tangent plane of the graph of f at the point (xo, yo, f(xo, yo)) for: (a) ƒ: R²2 → R, (x, y) → x − y +2, (xo, yo) = (1, 1) (b) (c) ƒ: R² → R, (x, y) ↔ x² + 4y², (xo, yo) = (2, -1) f: ƒ: R² R, (x, y) → xy, → (xo, yo) = (-1, −1) (d) f(x, y) = log (x + y) + x cos y + arctan(x + y), (xo, yo) = (1, 0) -2 (e) f(x, y) = √√√x² + y², (f) f(x, y) = xy, (xo, yo) = (1, 1) (xo, yo) = (2, 1)arrow_forward
- Let x²y q² +y² if (x, y) + (0,0), if (x, y) = (0,0) f(x, y) = (a) Find directional derivative of f(x, y) at (0,0) in every direction. (b) Show that ƒ is not differentiable at (0,0). (Hint: if f is differentiable at (0,0), Daf (0,0) =Vf(0,0) · ū.)arrow_forward6. Denote by V the vector ·(). Then we can define the operations grad (f) = f (gradient of f), div (F) = V F (divergence of F), and curl (F) = ▼ × F (curl of F). (a) Given F = (2x + 3y, 3x + z, sin x), calculate div(F) and curl(F). (b) Is the vector field F = (x + y,3y, z-x+1) conservative? What about F = (yz, xz, xy)? (c) Calculate V × (Vf) =curl(grad f) and V. (V × F) = div(curl F).arrow_forwardAsaparrow_forward
- (s) Find the linearization of f at the given point. Then estimate the value of f. (a) f(x, y) = xy² at (2, 1). Estimate f(2.001, 1.05) y? f(x, y) = at (1,2). Estimate f(0.99, 1.99)arrow_forwardConsider a function z = F(u(s, t), v(s, t)) where F, u, and v are differentiable and u(12, 8) = −12, v(12, 8) = −1, uş (12, 8) = −9, ut (12, 8) = −7, v§ (12, 8) = 9, vt (12, 8) = 1, Fµ(−12, −1) = −4, and F₂(-12, -1) = 8. əz дz Compute and when s = 12 and t = 8 Əs Ətarrow_forward1. Consider the following function f: R² → R [1 2] 4 7 f(x) = x¹ x+x [3] +6. (a) Find the gradient and Hessian of ƒ at the point [1,1]ª. (b) Find the directional derivative of f at [1,1] with respect to a unit vector in the direction of maximal rate of increase. (c) Find a point that satisfies the FONC (interior case) for f. Does this point satisfy the SONC for a minimizer?arrow_forward
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