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Consider the differential equation dydx=x+siny

⦁ A solution curve passes through the point (1,π2). What is its slope at this point?

⦁ Argue that every solution curve is increasing for x>1.

⦁ Show that the second derivative of every solution satisfies d2ydx2=1+xcosy+12sin2y.

⦁ A solution curve passes through (0,0). Prove that this curve has a relative minimum at (0,0).

Short Answer

Expert verified

⦁ The slope at the point 2.

⦁ Yes, every solution curve is increasing for x > 1.

⦁ The second derivative of every solution satisfies the given equation.

⦁ Yes, the curve has a minimum at (0,0)

Step by step solution

01

1(a): Find the slope of solution curve at  1,π2

Slope is given by dydx

So, slope of the solution curve at 1,π2is

dydx1,π2=1+sin1,π2=1+1=2

Hence, the slope at the point is 2.

02

2(b): Compute  dydx for x > 1

Since, dydx=x+siny for all y

Then, x+siny>1, for all x>1.

i.e., dydx>1>0, for all x>1, y.

Hence, from first derivative test, every solution curve is increasing for x>1.

03

3(c): Determine the second derivative.

Here

dydx=x+siny

Differentiate both sides with respect to x

d2ydx2=1+cosydydx=1+cosy(x+siny)=1+xcosy+sinycosy=1+xcosy+12sin2y

So, the second derivative of every solution satisfies the given equation.

04

4(d): Find second derivative at (0,0) 

Since, x+siny=0at (0,0)

we get, dydx=0at (0,0)

thus, (0,0) is a critical point.

Also, from part (c) ,d2ydx2=1+xcosy+12sin2y

d2ydx2=1>0at (0,0)

From second derivative test, (0,0) is a point of relative minimum.

Therefore, the curve has a minimum at (0,0)

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Most popular questions from this chapter

In problems 1-4Use Euler’s method to approximate the solution to the given initial value problem at the points x = 0.1, 0.2, 0.3, 0.4, and 0.5, using steps of size 0.1 (h = 0.1).

dydx=y(2-y),y(0)=3

In Problems 14–24, you will need a computer and a programmed version of the vectorized classical fourth-order Runge–Kutta algorithm. (At the instructor’s discretion, other algorithms may be used.)†

Using the vectorized Runge–Kutta algorithm for systems withh=0.175, approximate the solution to the initial value problemx'=2x-y;x(0)=0,y'=3x+6y;y(0)=-2 att=1.

Compare this approximation to the actual solution.

Let ϕ(x)denote the solution to the initial value problem

dydx=x-y,y(0)=1

⦁ Show that ϕ(x)=1-ϕ'(x)=1-x+ϕ(x)

⦁ Argue that the graph of ϕ is decreasing for x near zero and that as x increases from zero, ϕ(x)decreases until it crosses the line y = x, where its derivative is zero.

⦁ Let x* be the abscissa of the point where the solution curve y=ϕ(x) crosses the line y=x.Consider the sign of ϕ(x*) and argue that ϕ has a relative minimum at x*.

⦁ What can you say about the graph of y=ϕ(x) for x > x*?

⦁ Verify that y = x – 1 is a solution to dydx=x-y and explain why the graph of y=ϕ(x) always stays above the line y=x-1.

⦁ Sketch the direction field for dydx=x-y by using the method of isoclines or a computer software package.

⦁ Sketch the solution y=ϕ(x) using the direction field in part (f).

Using the Runge–Kutta algorithm for systems with h = 0.05, approximate the solution to the initial value problem y'''+y''+y2=t;y(0)=1,y'(0)=0,y''(0)=1 at t=1.

In Problems 14–24, you will need a computer and a programmed version of the vectorized classical fourth-order Runge–Kutta algorithm. (At the instructor’s discretion, other algorithms may be used.)†

Using the vectorized Runge–Kutta algorithm, approximate the solution to the initial value problem y''=t2+y2;y(0)=1,y'(0)=0at t=1. Starting with h=1, continue halving the step size until two successive approximations of both y1andy'1differ by at most 0.1.

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