If x 2 xy y

    • [PDF File]The Method of Frobenius - Trinity University

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      Find the general solution to x2y′′ +xy′ +(x −2)y = 0. In standard form this ODE has p(x) = 1 x and q(x) = x −2 x2, neither of which is analytic at x = 0. However, both xp(x) = 1 and x2q(x) = x −2 are analytic at x = 0, so we have a regular singularity with p 0 = lim x→0 xp(x) = 1 and q 0 = lim x→0 x2q(x) = −2. The indicial ...


    • [PDF File]Example: Find the area between x = y^2 and y=x-2

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      X Y x=y2 y=x-2 (1,-1) (4,2) Figure 2: The area between x = y2 and y = x − 2 split into two subregions. If we slice the region between the two curves this way, we need to consider two different regions. Where x > 1, the region’s lower bound is the straight line. For x < 1, however, the region’s lower bound is the lower half of the ...


    • [PDF File]Linear Approximations - University of Pennsylvania

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      Show that f(x, y) = xe xy is differentiable at (1, 0) and find its linearization there. Then, use it to approximate f(1.1, –0.1). Example 2 LINEAR APPROXIMATIONS The partial derivatives are: fx(x, y) = exy + xye xy f y(x, y) = x2exy fx(1, 0) = 1 fy(1, 0) = 1 Both fx and fy are continuous functions. So, f is differentiable by Theorem 8.


    • [PDF File]Maximum and Minimum Values - Pennsylvania State University

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      1 = {(x,y)|x2 + y2 2} is closed because it includes its boundary while D 2 = {(x,y)|x2 + y2 < 2} is not closed because it does not. D 1 D 2 To find the absolute maximum and absolute minimum, follow these steps: 1. Find the the critical points of f on D. 2. Find the extreme values of f on the boundary of D. 3.


    • [PDF File]xy x + + y 2 A. 2

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      Math 231 Final Exam A – Fall 2012 page 1 of 13 1. Find the slope of the line tangent to the curve tan 2 2 2 + + y = xy x π at the point (1, π) A. 2 2 2 π+ π


    • [PDF File]Chapter 16 F D IRST IFFERENTIAL -ORDER EQUATIONS

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      1 x2 2xy (c) y' (1 x)y x 2 FIGURE 16.3 Slope fields (top row) and selected solution curves (bottom row). In computer renditions, slope segments are sometimes portrayed with arrows, as they are here. This is not to be taken as an indication that slopes have directions, however, for they do not.


    • [PDF File]Convex Functions - USM

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      2(x;y) = ln(xy) = lnx lny; for which Hf 2(x;y) = x 2 0 0 y 2 is also positive de nite on Q 1. It should be noted that it is only necessary for one of f 1(x;y) and f 2(x;y) to be strictly convex, for f(x;y) to be strictly convex, as long as both functions are at least convex. 2 Exercises 1. Chapter 2, Exercise 1ac 2. Chapter 2, Exercise 2ad 3 ...


    • [PDF File]5.2 Limits and Continuity

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      xy y ⇠ (x 21)2 +y2 =) y(x1) ⇠ (x1)2 +y Looking at that second expression, I can see that if y =(x 1), then the expressions on both sides are similar. One is (x1)2 and the other is 2(x1)2.Weneedtostudyafewmoreexamples to help us see how to find smart paths. Example 5.2.1.4 Does the limit exist? If so, compute it. If not, prove it.


    • [PDF File]x;y;z 2 R. Use the axioms of the real numbers to prove the ...

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      x y +(x) y = y x+y (x) Axiom 1 = y (x+(x)) Axiom 3 = y 0 Axiom 5(a) = 0 y Axiom 1 = 0 since we proved in class that 0 y = 0 for any y 2 R. (f) If x y = 0 then either x = 0 or y = 0. Solution. Suppose x y = 0. If y = 0 then we are done. Otherwise y ̸= 0, and Axiom 5(b) implies that there is a real number y 1 such that y y 1 = 1. Thus x = x 1 ...


    • [PDF File]Homework 5: Solutions

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      Now, sin(y)=0 when y=nˇ, for all integers n. Then setting 1 +xcos(nˇ) =1 +(−1)nx=0, we get that critical points are: (x;y)=((−1)n+1;nˇ) for n∈Z: At these points: f xx≡0; f xy=cos(nˇ)=(−1)n; f yx=cos(nˇ)=(−1)n; f yy=−xsin(y)S((−1)n+1;nˇ) =−(−1)n+1 sin(nˇ)=0: So the Hessian matrix at ((−1)n+1;nˇ) is: 0 (−1)n (−1)n 0 with determinant D=−(−1)2n =−1


    • [PDF File]Covariance and Correlation Math 217 Probability and ...

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      2 X 2 X Y 2 Y = E(X2) 2 X + 2(E(XY) X Y) + E(Y2) 2 = Var(X) + 2Cov(X;Y) + Var(Y) Bilinearity of covariance. Covariance is linear in each coordinate. That means two things. First, you can pass constants through either coordinate: Cov(aX;Y) = aCov(X;Y) = Cov(X;aY): Second, it preserves sums in each coordinate: Cov(X 1 + X 2;Y) = Cov(X 1;Y) + Cov ...


    • [PDF File]Solutions: Section 2 - Whitman College

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      x2y3 +(x+xy2) dy dx = 0 is not separable, since (x 2y3) y = 3x 2y2, but (x + xy ) x = 1 + y . However, after multiplication by µ(x,y) = 1/(xy3), we get: x2y3 xy 3 + x(1+y2) xy dy dx = 0 Simplify: x+(y −3 +y 1) dy dx = 0 Note that this becomes separable, so it is also exact. Using the methods from this section, f(x,y) = Z M dx = 1 2 x2 +g(y ...


    • [PDF File]Math 314 Lecture #12 14.2: Limits and Continuity

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      x 2sin y x 2+2y ≤ sin2 y. The limits of the outer two functions as (x,y) → (0,0) are both 0, and so the Squeeze Theorem tells us that lim (x,y)→(0,0) x2 sin2 y x2 +2y2 = 0. The notion of the limit of a function of two variables readily extends to functions of three or more variables.


    • [PDF File]Implicit Functions - Dartmouth College

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      x2 +2xy +y2 ¡y +x = 0: In this case, a = 1, b = 2, and c = 1, so b2 ¡4ac = 0 and the curve of this relation is a parabola. Let us find its implicit functions. A conic section will have at most two implicit function. We find them by treating this relation as if it is a quadratic function of y, and that x is just part of the coefficients: x2 ...


    • [PDF File]Unit #5 - Implicit Di erentiation, Related ... - Queen's U

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      If y =1 2 x, 2 1 2 2 + x 1 2x = 2 or 1 4 + 1 2 = 2 which is impossible, so the assumption that y= 1=2x must be impossible to use with this curve. Therefore the only two points on the curve x2y2+xy= 2 which have slope dy dx = 1 are (x;y) = (1;1) and ( 1; 1). 2


    • [PDF File]Section 15.2 Limits and Continuity - University of Portland

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      x→(0,0,0) xy +yz2 +xz2 x2 +y2 +z4 = lim x→(0,0,0) z4 +z4 +z4 z4 +z4 +z4 = 1, so the limit does not exist. 2. Continuity The definition of continuity for a function of two variables is a direct generalization of continuity for a function of a single variable. Definition 2.1. A function f(x,y) of two variables is continuous at


    • [PDF File]Examples: Joint Densities and Joint Mass Functions

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      {(x,y) : x + y ≥ 1}, which is the region above the line y = 1 − x. See figure above, right. To compute the probability, we double integrate the joint density over this subset of the support set: P(X +Y ≥ 1) = Z 1 0 Z 2 1−x (x2 + xy 3)dydx = 65 72 (c). We compute the marginal pdfs: fX(x) = Z ∞ −∞ f(x,y)dy = ˆR 2 0 (x 2 + xy 3)dy ...


    • [PDF File]Direct proof .edu

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      numbers x and y, the arithmetic mean of x and y is always greater than the geometric mean of x and y. Sanity check: Let x=8 and y=4. (8+4)/2 = 6. √(8 ×4) = √(32) ≅5.66. 6 > 5.66 ☐ (x + y)/2 √(xy)


    • [PDF File]Lecture 16: Harmonic Functions - Furman

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      xy(x,y) = 0 for all x+iy ∈ D. 1. Definition 16.1. Suppose H : R2 → R has continuous second partial deriva-tives on a domain D. We say H is harmonic in D if for all (x,y) ∈ D, H xx(x,y)+H yy(x,y) = 0. Harmonic functions arise frequently in applications, such as in the study


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