UNIVERSIDAD CARLOS III DE MADRID MATHEMATICS II EXERCISES (SOLUTIONS ) CHAPTER 3: Partial derivatives and differentiation

Similar documents
Hw 4 Due Feb 22. D(fg) x y z (

Gradient and Directional Derivatives

Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers. Lagrange Multipliers

Quiz 6 Practice Problems

. Tutorial Class V 3-10/10/2012 First Order Partial Derivatives;...

302 CHAPTER 3. FUNCTIONS OF SEVERAL VARIABLES. 4. Function of several variables, their domain. 6. Limit of a function of several variables

What you will learn today

Summer 2017 MATH Suggested Solution to Exercise Find the tangent hyperplane passing the given point P on each of the graphs: (a)

Practice problems. 1. Given a = 3i 2j and b = 2i + j. Write c = i + j in terms of a and b.

Math 21a Tangent Lines and Planes Fall, What do we know about the gradient f? Tangent Lines to Curves in the Plane.

14.5 Directional Derivatives and the Gradient Vector

Functions of Several Variables

= w. w u. u ; u + w. x x. z z. y y. v + w. . Remark. The formula stated above is very important in the theory of. surface integral.

Chapter 6. Curves and Surfaces. 6.1 Graphs as Surfaces

Solution 2. ((3)(1) (2)(1), (4 3), (4)(2) (3)(3)) = (1, 1, 1) D u (f) = (6x + 2yz, 2y + 2xz, 2xy) (0,1,1) = = 4 14

Lecture 6: Chain rule, Mean Value Theorem, Tangent Plane

d f(g(t), h(t)) = x dt + f ( y dt = 0. Notice that we can rewrite the relationship on the left hand side of the equality using the dot product: ( f

Quasilinear First-Order PDEs

Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives. Directional Derivatives

. 1. Chain rules. Directional derivative. Gradient Vector Field. Most Rapid Increase. Implicit Function Theorem, Implicit Differentiation

TEST 3 REVIEW DAVID BEN MCREYNOLDS

Workbook. MAT 397: Calculus III

Kevin James. MTHSC 206 Section 15.6 Directional Derivatives and the Gra

Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives. Partial Derivatives

Multivariate Calculus: Review Problems for Examination Two

Equation of tangent plane: for implicitly defined surfaces section 12.9

(1) Given the following system of linear equations, which depends on a parameter a R, 3x y + 5z = 2 4x + y + (a 2 14)z = a + 2

Math 213 Exam 2. Each question is followed by a space to write your answer. Please write your answer neatly in the space provided.

Chapter 5 Partial Differentiation

Definition 3.1 The partial derivatives of a function f(x, y) defined on an open domain containing (x, y) are denoted by f

14.6 Directional Derivatives and the Gradient Vector

Surfaces and Integral Curves

AP Calculus AB Unit 2 Assessment

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Answer sheet: Second Midterm for Math 2339

Grad operator, triple and line integrals. Notice: this material must not be used as a substitute for attending the lectures

MAT203 OVERVIEW OF CONTENTS AND SAMPLE PROBLEMS

Section 4.2 selected answers Math 131 Multivariate Calculus D Joyce, Spring 2014

x 6 + λ 2 x 6 = for the curve y = 1 2 x3 gives f(1, 1 2 ) = λ actually has another solution besides λ = 1 2 = However, the equation λ

EXTRA-CREDIT PROBLEMS ON SURFACES, MULTIVARIABLE FUNCTIONS AND PARTIAL DERIVATIVES

REVIEW I MATH 254 Calculus IV. Exam I (Friday, April 29) will cover sections

MATH 261 FALL 2000 FINAL EXAM INSTRUCTIONS. 1. This test booklet has 14 pages including this one. There are 25 questions, each worth 8 points.

Multivariate Calculus Review Problems for Examination Two

3. The three points (2, 4, 1), (1, 2, 2) and (5, 2, 2) determine a plane. Which of the following points is in that plane?

Functions of Two variables.

Math 213 Calculus III Practice Exam 2 Solutions Fall 2002

Quiz problem bank. Quiz 1 problems. 1. Find all solutions (x, y) to the following:

Differentiability and Tangent Planes October 2013

Mysterious or unsupported answers will not receive full credit. Your work should be mathematically correct and carefully and legibly written.

University of California, Berkeley

(c) 0 (d) (a) 27 (b) (e) x 2 3x2

Directional Derivatives and the Gradient Vector Part 2

ADDITONAL MATHEMATICS

Partial Derivatives (Online)

MATH 2023 Multivariable Calculus

Math 209, Fall 2009 Homework 3

Partial Di erentiation - Chain Rule Composition of Functions of Several Variables Recall: Composition of Functions of a Single Variable

Calculus 234. Problems. May 15, 2003

Linear First-Order PDEs

MATH 104 Sample problems for first exam - Fall MATH 104 First Midterm Exam - Fall (d) 256 3

Core Mathematics 3 Functions

True/False. MATH 1C: SAMPLE EXAM 1 c Jeffrey A. Anderson ANSWER KEY

1. Show that the rectangle of maximum area that has a given perimeter p is a square.

Parametric Surfaces. Substitution

Math Exam III Review

(1) Tangent Lines on Surfaces, (2) Partial Derivatives, (3) Notation and Higher Order Derivatives.

Directional Derivatives and the Gradient Vector Part 2

There are 10 problems, with a total of 150 points possible. (a) Find the tangent plane to the surface S at the point ( 2, 1, 2).

Linear Transformations

MATH 142 Business Mathematics II

Introduction to PDEs: Notation, Terminology and Key Concepts

Chapter 15 Vector Calculus

Contents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Homework 1 - Solutions 3. 2 Homework 2 - Solutions 13

13.5 DIRECTIONAL DERIVATIVES and the GRADIENT VECTOR

The Divergence Theorem

PURE MATHEMATICS 212 Multivariable Calculus CONTENTS. Page. 1. Assignment Summary... i 2. Summary Assignments...2

Worksheet 2.2: Partial Derivatives

Practice problems from old exams for math 233 William H. Meeks III December 21, 2009

Coordinate Transformations in Advanced Calculus

Limits and Continuity: section 12.2

Math 113 Calculus III Final Exam Practice Problems Spring 2003

Functions. Edexcel GCE. Core Mathematics C3

Comprehensive Practice Handout MATH 1325 entire semester

13.1. Functions of Several Variables. Introduction to Functions of Several Variables. Functions of Several Variables. Objectives. Example 1 Solution

1. Suppose that the equation F (x, y, z) = 0 implicitly defines each of the three variables x, y, and z as functions of the other two:

2/3 Unit Math Homework for Year 12

f xx (x, y) = 6 + 6x f xy (x, y) = 0 f yy (x, y) = y In general, the quantity that we re interested in is

MA FINAL EXAM Green April 30, 2018 EXAM POLICIES

(a) Find the equation of the plane that passes through the points P, Q, and R.

Math 206 First Midterm October 5, 2012

Dr. Allen Back. Aug. 27, 2014

Directional Derivatives as Vectors

Exam 1 Review. MATH Intuitive Calculus Fall Name:. Show your reasoning. Use standard notation correctly.

f (Pijk ) V. may form the Riemann sum: . Definition. The triple integral of f over the rectangular box B is defined to f (x, y, z) dv = lim

Week 5: Geometry and Applications

Math 21a Homework 22 Solutions Spring, 2014

Answer sheet: Second Midterm for Math 2339

12.7 Tangent Planes and Normal Lines

HOMEWORK ASSIGNMENT #4, MATH 253

2 Second Derivatives. As we have seen, a function f (x, y) of two variables has four different partial derivatives: f xx. f yx. f x y.

Transcription:

UNIVERSIDAD CARLOS III DE MADRID MATHEMATICS II EXERCISES SOLUTIONS ) 3-1. Find, for the following functions: a) fx, y) x cos x sin y. b) fx, y) e xy. c) fx, y) x + y ) lnx + y ). CHAPTER 3: Partial derivatives and differentiation a) The partial derivatives of the function fx, y) xcos x)sin y) are x, y) cos x sin y x sin x sin y, b) The partial derivatives of the function fx, y) e xy are x, y) y e xy, x, y) x, y) xye xy x cos x cos y c) The partial derivatives of the function fx, y) x + y ) lnx + y ) are x, y) x ln x + y ) + x, x, y) y ln x + y ) + y 3-. Determine the marginal-products for the following Cobb-Douglas production function. F x, y, z) 1x 1/ y 1/3 z 1/4 We compute the partial derivatives with respect to each factor, F F F 6x 1/ y 1/3 z 1/4 4x 1/ y /3 z 1/4 3x 1/ y 1/3 z 3/4 3-3. Find the gradient of the following functions at the given point p a) fx, y) a x y ) 1/ at p a/, a/). b) gx, y) ln1 + xy) 1/ at p 1, 1). c) hx, y) e y cos3x + y) at p π/3, 0). ) a) a x y ) 1/ x, y so the gradient is a x y ) a x y ) b) ln1 + xy) 1/ ) 1 c) x a x y ), y 1, a x y )) 1 ) xya/ ) y 1+xy, x 1+xy so the gradient is 1 4, 4) 1. e y cos3x + y)) xπ/3,y0 3e y sin 3x + y), e y cos 3x + y) e y sin 3x + y)) xπ/3,y0 0, 1) 1

3-4. Consider the function fx, y) { x +y x + y sinxy) if x, y) 0, 0) 0 if x, y) 0, 0) a) Find the partial derivatives of f at the point 0, 0). b) Prove that f is continuous on all of R. Hint: Use proving it) that for x, y) 0, 0) we have that x + y 0 1 x + y c) Is f differentiable at 0, 0)? a) The partial derivative with respect to x is since sin0) 0. Likewise, so, ft, 0) f0, 0) 0, 0) lim 0 t 0 t f0, t) f0, 0) 0, 0) lim 0 t 0 t f0, 0) 0, 0) b) Note that for x, y) 0, 0), the function f is a quotient of continuous functions and, hence is continuous for x, y) 0, 0). Recall that the function f is continuous at the point 0, 0) if lim fx, y) f0, 0) x,y) 0,0) We prove this next. First, since x, y 0 then Hence, x + y x + y + x y x + y ) x + y 0 1) x + y Given ε > 0, we take δ ε/. If 0 < x + y < δ then fx, y) x + y sinxy) since sinxy) 1) x + y x + y x + y x + y x + y x + y x + y < δ ε by the above observation) c) First, we note that f is differentiable in R \ {0, 0)}, because the partial derivatives exist and are continuous at every point of R \ {0, 0)}. The function is differentiable at 0, 0) if fv 1, v ) f0, 0) f0, 0) v 1, v ) lim 0 v 1,v ) 0,0) v 1 + v Note that f0, 0) 0, f0, 0) v 1, v ) 0. So, let us consider the quotient fv 1, v ) v1 + v v v 1 + v v 1 + v ) v1 + sinv 1 v ) 1 + v v v 1 + v ) sinv 1v ) con v 1, v ) 0, 0). The function f is differentiable at 0, 0) if v lim 1 + v v 1,v ) 0,0) v 1 + v ) sinv 1v ) 0

3 By the observation made in the previous part, we have that v 0 1 + v v 1 + v ) sinv 1v ) sinv 1 v ) and since sinv 1 v ) is continuous, Hence, and f is differentiable at 0, 0). 3-. Consider the function lim v 1,v ) 0,0) fx, y) lim sinv 1v ) 0 v 1,v ) 0,0) v 1 + v v 1 + v ) sinv 1v ) 0 { x sin y x +y ifx, y) 0, 0) 0 ifx, y) 0, 0) a) Study the continuity of f in R. b) Compute the partial derivatives of f at the point 0, 0). c) At which points is f differentiable? a) Note that On the other hand since, do not coincide, the limit 0 lim ft, 0) lim t 0 t 0 t 0 t sin t sin t lim ft, t) lim t 0 t 0 t lim 1 t 0 t lim fx, y) x,y) 0,0) does not exist, and hence f is not continuous at 0, 0). The function is continuous at R \ {0, 0)} since it is a quotient of continuous functions and the denominator does not vanish there. b) The partial derivative with respect to x is since sin0) 0. Similarly, ft, 0) f0, 0) 0, 0) lim t 0 t 0 lim t 0 t 3 0 f0, t) f0, 0) 0 0, 0) lim lim t 0 t t 0 t 3 0 c) First, we note that f is differentiable on R \{0, 0)}, since the partial derivatives exist and are continuous there. The function is not differentiable at 0, 0) because it is not continuous at that point. 3-6. Consider the function fx, y) { x3 y x +y cosxy) if x, y) 0, 0) 0 if x, y) 0, 0) a) Find the partial derivatives of f at the point 0, 0). b) Prove that f is continuous on all of R. Hint: Note that for x, y) 0, 0) we have that 1 x + y 1 x + y c) Is f differentiable at 0, 0)? a) The partial derivatives are and ft, 0) f0, 0) 0 0, 0) lim lim t 0 t t 0 t 3 0 f0, t) f0, 0) 0 0, 0) lim lim t 0 t t 0 t 3 0

4 b) The function is continuous on R \ {0, 0)}, since it is a quotient of continuous functions and the denominator does not vanish. Let us study the continuity at the point 0, 0). Let ε > 0. Take δ ε/. If 0 < x + y < δ then, x 3 y x + y cosxy) x x y x + y cosxy) c) The function is differentiable at 0, 0) if x y since x x + y y cosxy) 1 x ) ) y x + y x + y < δ ε fx, y) f0, 0) f0, 0) x, y) lim 0 x,y) 0,0) x + y Since, f0, 0) 0, f0, 0) x, y) 0, the function is differentiable at 0, 0) if lim x,y) 0,0) x 3 y x + y ) x + y cosxy) 0 Given ε > 0, we take δ ε. If 0 < x + y < δ then, x 3 y x + y ) x + y cosxy) x 3 y x + y ) x + y so f is differentiable at 0, 0). x x y x + y ) x + y x y x x + y y x + y y x + y < δ ε 3-7. Compute the derivatives of the following functions at the given point p along the vector v a) fx, y) x + xy 3y, p 1, ), v 3, 4). b) gx, y) e xy + y tan 1 x, p 1, 1), v 1, 1). c) hx, y) x + y ) 1/, p 0, ), v 1, 1). a) x + xy 3y ) x1,y 1 + y, x 6y) x1,y, 10). So, the derivative along the vector 3, 4) is, 10) 3, 4) b) e xy + y arctan x) x1,y1 ye xy + 1, e + π 4 ). So, the derivative along the vector 1, 1) is y 1+x, xe xy x1,y1 + arctan x) e + 1, e + arctan 1) e + c) x + y ) 1/ ) x0,y 1, 1) is e + 1, e + π 4 ) 1, 1) 1 π 4 ) x, y 0, 1). So, the derivative along the vector x +y ) x +y ) x0,y 0, 1) 1, 1) 1 3-8. Let Bx, y) 10x x 1 xy + y be the profits of a firm. Last year the company sold x 4 units of good 1 and y units of good. This year, the company can change slightly the amounts of the goods x and y it sells. If it wishes to increase its profit as much as possible, what should x y be? 10x x xy + y) x4,y 10 x y, x + ) x4,y 1, 3)

Since the gradient points in the direction of maximum growth of the function, if there is an increase x, y), for the function to increase the most, we must have that x, y) k1, 3). From here we obtain that x k y y 3k. Hence, x/ y 1/3. 3-9. Knowing that, 3) 7 and D 1, )f,3) 3, find, 3) and D vf,3) with v 3, 4 ). We know that and also Letting we have that But this is equivalent to And, therefore We may compute now D 1, )f, 3) D 3, 4 ) f, 3) ), 3),, 3) 1,, 3) 7 z, 3) 7, z) 1, ) 3 7 + z, 3) 4 3 ) 3 ) 3, 3),, 3), 4 ) 3 7, 4), 4 ) 37 3-10. Find the derivative of fx, y, z) xy + z y, along the vector v 1, 1, ) at the point 1, 1, 0). Determine the direction which maximizes resp. minimizes) the directional derivative at the point 1, 1, 0). What are the largest and smallest values of the directional derivative at that point? The gradient of the function fx, y, z) xy + z y at the point 1, 1, 0) is f1, 1, 0) xy + z y) x1,y1,z0 y, xy + z, zy ) x1,y1,z0 1,, 0) The derivative along v is D v f1, 1, 0) f1, 1, 0) v 1,, 0) 1, 1, ) 1 The direction which maximizes the directional derivative is f1, 1, 0) f1, 1, 0) 1 1,, 0) and the maximum value of the directional derivative is f1, 1, 0). Likewise, the direction which minimizes the directional derivative is f1, 1, 0) f1, 1, 0) 1 1,, 0) and the minimum value of the directional derivative is f1, 1, 0). 3-11. Consider the function fx, y) x + y + 1 y gx, y) x + y, ay). Determine: a) The value of a for which the function f g grows fastest in the direction of the vector v, 7) at the point p 1, 1). b) The equations of the tangent and normal lines to the curve xy x + y + x 6 at the point 4, ). Consider the functions fx, y) x + y + 1 y gx, y) x + y, ay)

6 a) Their composition is fgx, y)) fx + y, ay) x + y) + a y + 1 and the gradient at the point 1, 1) is fg1, 1)) x + y, x + y + a y ) x1,y1 4, 4 + a ) If we want that direction of the vector v, 7) is the direction of maximum growth of fgx, y)) at the point 1, 1), we must have that v and fgx, y))1, 1) are parallel. That is, 4 + a 7 4 whose solution is a ± b) Note first that the point 4, ) satisfies the equation xy x + y + x 6. Now, the gradient of the function gx, y) xy x + y + x 6 at the point 4, ) is Thus, the equation of the tangent line is g4, ) y 4x +, xy + 1) x4 7, 17) y 7, 17) x 4, y ) 0 and the parametric equations of the normal line are xt), yt)) 4, ) + t 7, 17) 3-1. Find the Jacobian matrix of F in the following cases. a) F x, y, z) xyz, x z) b) F x, y) e xy, ln x) c) F x, y, z) sin xyz, xz) a) The Jacobian matrix of F is b) The Jacobian matrix of c) The Jacobian matrix of D F x, y, z) D F x, y, z) ) yz xz xy xz 0 x ) ye xy xe D F x, y, z) xy 1/x 0 yz sin xyz xz sin xyz xy sin xyz z 0 x ) 3-13. Using the chain rule compute the derivatives r in the following cases. a) z x xy + y, x r + θ, y r θ b) z x y, x r cos θ, y r sin θ θ a) r θ r + r x y x + y 0 θ + θ x y x + y) 4x y) 8θ

7 b) r θ r + r 10x x y cos θ 10y x y sin θ r cos θ r r sin θ r r r θ + θ 10x x y + 10y x y 10x x y r sin θ) 10y r cos θ) x y r cos θ sin θ r r cos θ sin θ r 0 3-14. Using the capital K at time t generates an instant profit of Bt) 1 + t) 1/ K Suppose that capital evolves in time according to the equation Kt) 10e t/4. Determine the rate of change of B. Since we see that dk dt 30et/4 d dt B 1 + t) 1/ K + 1 + t) 1/ dk dt 3001 + t) 1/ e t/4 + 101 + t) 1/ e t/4 3-1. Verify the chain rule for the function h x y + y z + z x with x et, y e t and z e t3. 3-16. Verify the chain rule for the composition f c in the following cases. a) fx, y) xy, ct) e t, cos t). b) fx, y) e xy, ct) 3t, t 3 ). a) The functions are fx, y) xy and ct) xt), yt)) e t, cos t). Therefore, fxt), yt)) fe t, cos t) e t cos t and d dt fxt), yt)) et cos t e t sin t Now, we compute fct)) dc dt On the one hand, fx, y) y, x) and Therefore, dc dt et, sin t) fct)) dc dt yt)et xt) sin t which coincides with the computation above.

8 b) The functions are fx, y) e xy and ct) xt), yt)) 3t, t 3 ). Therefore, fxt), yt)) f3t, t 3 ) e 3t and d dt fxt), yt)) 1t4 e 3t Now, we compute fct)) dc dt On the one hand, fx, y) ye xy, xe xy ) and Therefore, dc dt 6t, 3t ) fct)) dc dt 6ye xy t + 3xe xy t ) x3t 1t 4 e 3t,yt 3 3-17. Write the chain rule h x) in the following cases. a) hx) fx, ux, a)), where a R is a parameter. b) hx) fx, ux), vx)). a) b) h x) h x) x, ux), vx)) x, ux, a)) + + x, ux, a)) ux, a) x, ux), vx)) u x) + x, ux), vx)) v x) 3-18. Determine the points at which the tangent plane to the surface z e x 1) +y is horizontal. Determine the equation of the tangent plane at those points. Consider the function of 3 variables gx, y, z) e x 1) +y z We are asked to compute the tangent plane to the level surface A {x, y, z) R 3 : gx, y, z) 0} at the point x, y, z) where this tangent plane is horizontal. At that point we must have that Since, gx, y, z) gx, y, z) 0, 0, 1) we must have that x 1, y 0. The z coordinate is ) x 1)e x 1) +y, ye x 1) +y, 1 z e x 1) +y x1,y0 1 And the tangent is horizontal at the point 1, 0, 1). The equation of the tangent plane is z 1 3-19. Consider the function fx, y) xe y ) 3. a) Compute the equation of the tangent plane to the graph of fx, y) at the point, 0). b) Using the equation of the tangent plane, find an approximation to 1, 999e 0,00 ) 3.

9 a) We are asked to compute the tangent plane to the graph of f at the point, 0, f, 0)), 0, 8). Consider the function of 3 variables The graph of f is the level surface of g, gx, y, z) x 3 e 3y z A {x, y, z) R 3 : gx, y, z) 0} Therefore, it is enough to compute the tangent plane to the level surface A at the point, 0, 8). Since, g, 0, 8) 3x e y, 3x 3 e y, 1) x,y0,z8 1, 4, 1) the equation of the tangent plane is that is, 1, 4, 1) x, y, z 8) 0 1x + 4y z 16 b) We are asked to estimate the function fx, y) x 3 e 3y at the point 1 999, 0 00). Since, f is differentiable and that point is very close to, 0), we use Taylor s first order approximation around the point, 0), and we obtain that z 1x + 4y 16 f1 999, 0 00) 1x + 4y 16) x1 999,y0 00 8 036 3-0. Compute the tangent plane and normal line to the following level surfaces. a) x + xy + y z 0 at the point 1, 1, ). b) x + y z 0 at the point 1,, ). c) y x )y x ) z 0 at the point 1, 3, ). a) We compute the gradient x + xy + y z) x,y,z)1,1,) x + y, x + 4y, 1) x,y,z)1,1,) 4, 6, 1) Thus, the equation of the tangent plane is that is, b) We compute the gradient 4, 6, 1) x 1, y 1, z ) 0 4x + 6y z x + y z) x,y,z)1,,) x, y, 1) x,y,z)1,,), 4, 1) Thus, the equation of the tangent plane is that is, c) We compute the gradient, 4, 1) x 1, y, z ) 0 x + 4y z y x )y x ) z) x,y,z)1,3,) xy x ) 4xy x ), y 3x, 1) x,y,z)1,3,) Thus, the equation of the tangent plane is that is, 10, 3, 1) 10, 3, 1) x 1, y 3, z ) 0 10x 3y + z 3 3-1. Let f, g : R R be two functions with continuous partial derivatives on R. a) Show that if g x, y) x, y) at every point x, y) R, then f g depends only on y.

10 b) Show that if g x, y) x, y) at every point x, y) R, then f g depends only on x. c) Show that if f g)x, y) 0, 0) at every point x, y) R, then f g is constant on R. d) Find a function f : R R such that x, y) yx + x + y, x, y) y x + y, f0, 0) 1 Are there any other functions satisfying those equations? The functions f and g are of class C 1. a) Let a, b), x, b) R. Let hx, y) fx, y) gx, y). By the Mean Value Theorem, hx, b) ha, b) hc) x a, 0) for some point c c 1, c ) tx, b) + 1 t)a, b) tx + 1 t)a, b) with 0 < t < 1. Since, h c) 0 we have that hx, b) ha, b) 0. That is, hx, b) ha, b) for every x R and the function h does not depend on y b) Is very similar to the previous case. c) At each point of R we have that f g) f g) so f g does not depend neither on x nor on y. d) We know that x, y) yx + x + y. Integrating with respect to y, fx, y) yx + x + y)dy 1 y x + xy + y + Cx) where Cx) is a function that depends only on x. The other condition is x, y) y x + y. We try this with the function that we have obtained, ) 1 y x + xy + y + Cx) y x + y + C x) so, C x) 0 and Cx) c, a constant. To find c we use the condition f0, 0) 1. Thus, 0 fx, y) 1 y x + xy + y + c f0, 0) c and f0, 0) 1. Hence c 1 The function fx, y) 1 y x + xy + y + 1 satisfies the above conditions. If there were another function g of class C 1 satisfying the same conditions, we would have that f g)x, y) 0, 0) at every point x, y) R. By part c) there is a constant A R such that f g)x, y) A for every x, y) R. But, since f0, 0) 1 g0, 0), we have that A 0 and the functions coincide.