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Consider the differential equation \(y^{\prime \prime}(t)+k^{2} y(t)=0,\) where \(k\) is a positive real number. a. Verify by substitution that when \(k=1,\) a solution of the equation is \(y(t)=C_{1} \sin t+C_{2} \cos t .\) You may assume that this function is the general solution. b. Verify by substitution that when \(k=2,\) the general solution of the equation is \(y(t)=C_{1} \sin 2 t+C_{2} \cos 2 t\). c. Give the general solution of the equation for arbitrary \(k>0\) and verify your conjecture.

Short Answer

Expert verified
2. What are the constants used in the general solution? 3. For k=2, what is the general solution?

Step by step solution

01

Calculate the first and second derivatives of the given function in each case

For the given function, \(y(t)=C_{1} \sin t+C_{2} \cos t\), we derive \(y'(t)\) and \(y''(t)\) as follows: \(y'(t) = C_{1} \cos t - C_{2} \sin t\) \(y''(t) = -C_{1} \sin t - C_{2} \cos t\) For the given function, \(y(t)=C_{1} \sin 2t+C_{2} \cos 2t\), we derive \(y'(t)\) and \(y''(t)\) as follows: \(y'(t) = 2C_{1} \cos 2t - 2C_{2} \sin 2t\) \(y''(t) = -4C_{1} \sin 2t - 4C_{2} \cos 2t\)
02

Verify the solutions when \(k=1\) and \(k=2\)

Now, we need to verify if the resulting functions satisfy the given differential equation when \(k = 1\) and \(k = 2\). For \(k=1\), we've calculated \(y''(t) = -C_{1} \sin t - C_{2} \cos t\): \(y''(t) + y(t) = (-C_{1} \sin t - C_{2} \cos t) + (C_{1} \sin t + C_{2} \cos t) = 0\) So, it's verified that \(y(t)=C_{1} \sin t+C_{2} \cos t\) is a solution when \(k=1\). For \(k=2\), we've calculated \(y''(t) = -4C_{1} \sin 2t - 4C_{2} \cos 2t\): \(y''(t) + 4y(t) = (-4C_{1} \sin 2t - 4C_{2} \cos 2t) + 4(C_{1} \sin 2t + C_{2} \cos 2t) = 0\) So, it's verified that \(y(t)=C_{1} \sin 2t+C_{2} \cos 2t\) is a solution when \(k=2\).
03

Determine the general solution for arbitrary values of \(k\)

Using the patterns of our solutions in (a) and (b), we can conjecture the general solution to be in the form: \(y(t) = C_{1} \sin kt + C_{2} \cos kt\) Now, we verify our conjecture by taking the first and second derivatives: \(y'(t) = kC_{1} \cos kt - kC_{2} \sin kt\) \(y''(t) = -k^{2}C_{1} \sin kt - k^{2}C_{2} \cos kt\) Plugging our conjectured solution into the given ordinary differential equation, we get: \(y''(t) + k^{2}y(t) = (-k^{2}C_{1} \sin kt - k^{2}C_{2} \cos kt) + k^{2}(C_{1} \sin kt + C_{2} \cos kt) = 0\) This confirms that \(y(t) = C_{1} \sin kt + C_{2} \cos kt\) is the general solution of the given differential equation for arbitrary \(k>0\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Trigonometric Functions
Trigonometric functions are fundamental in mathematics, particularly when dealing with oscillatory phenomena like waves. In this exercise, we work with the sine and cosine functions, which are examples of trigonometric functions. These functions are periodic, meaning they repeat their values in regular intervals. Their periodicity and properties make them very useful for solving differential equations.
Specifically, for the equation given in the exercise, the solutions involve the functions \( \sin(t) \) and \( \cos(t) \), indicating a dependency on time. These functions can be adjusted for frequency by multiplying by a constant such as \( k \).
  • \( \sin(t) \) is a sine function, which starts at 0, goes up to 1, down to -1, and back to 0 around the unit circle, cycling every \( 2\pi \) radians (or 360 degrees).
  • \( \cos(t) \) is a cosine function, which starts at 1, goes down to -1, back to 1, following the same cycle.
In this context, trigonometric functions express the solution to the differential equation, providing insights into the system's oscillatory nature. The constants \( C_1 \) and \( C_2 \) scale these solutions to fit initial conditions or specific scenarios.
General Solution
When solving differential equations, finding the general solution is a key objective. The general solution encompasses all possible solutions of the differential equation. It includes arbitrary constants, whose values can be set based on initial conditions.
In this exercise, the general solution for the differential equation \( y''(t) + k^2 y(t) = 0 \) was proposed and verified as \( y(t) = C_1 \sin kt + C_2 \cos kt \). This is a unified solution that satisfies any particular case with the right values of \( C_1 \) and \( C_2 \).
  • The constants \( C_1 \) and \( C_2 \) are determined by initial conditions, such as initial position and velocity in physical applications.
  • For different values of \( k \), the frequency of the sine and cosine waves changes, affecting the pace of oscillations in the solution.
This implies that the differential equation supports a family of solutions characterized by these periodic trigonometric forms, showcasing how systems can behave under different parameters.
Ordinary Differential Equations
Ordinary Differential Equations (ODEs) are equations that involve a function and its derivatives. The term "ordinary" distinguishes them from partial differential equations, as they involve derivatives with respect to a single variable.
In this exercise, the equation \( y''(t) + k^2 y(t) = 0 \) represents an ODE, where \( y(t) \) is a function of one variable \( t \), typically representing time.
  • The second derivative \( y''(t) \) represents the acceleration or curvature of the function \( y(t) \).
  • The constant \( k^2 \) ties the rate of change directly to the function's value, indicating harmonic behavior.
This type of ODE is often seen in mechanical and electrical systems, where functions describe oscillations or vibrations. To solve such equations, we usually seek solutions in terms of known functions, often leading us to use trigonometric or exponential functions. The process involves finding a particular form that satisfies the equation when derivatives are plugged back into it, thereby verifying the solution.

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Most popular questions from this chapter

Consider the following pairs of differential equations that model a predator- prey system with populations \(x\) and \(y .\) In each case, carry out the following steps. a. Identify which equation corresponds to the predator and which corresponds to the prey. b. Find the lines along which \(x^{\prime}(t)=0 .\) Find the lines along which \(y^{\prime}(t)=0\) c. Find the equilibrium points for the system. d. Identify the four regions in the first quadrant of the xy-plane in which \(x^{\prime}\) and \(y^{\prime}\) are positive or negative. e. Sketch a representative solution curve in the xy-plane and indicate the direction in which the solution evolves. $$x^{\prime}(t)=-3 x+x y, y^{\prime}(t)=2 y-x y$$

Solve the initial value problem $$M^{\prime}(t)=-r M \ln \left(\frac{M}{K}\right), \quad M(0)=M_{0}$$ with arbitrary positive values of \(r, K,\) and \(M_{0}\)

Solve the following initial value problems. When possible, give the solution as an explicit function of \(t\) $$y^{\prime}(t)=\frac{y+3}{5 t+6}, y(2)=0$$

Two curves are orthogonal to each other if their tangent lines are perpendicular at each point of intersection. A family of curves forms orthogonal trajectories with another family of curves if each curve in one family is orthogonal to each curve in the other family. Use the following steps to find the orthogonal trajectories of the family of ellipses \(2 x^{2}+y^{2}=a^{2}\) a. Apply implicit differentiation to \(2 x^{2}+y^{2}=a^{2}\) to show that $$ \frac{d y}{d x}=\frac{-2 x}{y} $$ b. The family of trajectories orthogonal to \(2 x^{2}+y^{2}=a^{2}\) satisfies the differential equation \(\frac{d y}{d x}=\frac{y}{2 x} .\) Why? c. Solve the differential equation in part (b) to verify that \(y^{2}=e^{C}|x|\) and then explain why it follows that \(y^{2}=k x\) Therefore, the family of parabolas \(y^{2}=k x\) forms the orthogonal trajectories of the family of ellipses \(2 x^{2}+y^{2}=a^{2}\)

The Gompertz growth equation is often used to model the growth of tumors. Let \(M(t)\) be the mass of a tumor at time \(t \geq 0 .\) The relevant initial value problem is $$ \frac{d M}{d t}=-r M \ln \left(\frac{M}{K}\right), M(0)=M_{0} $$ a. Graph the growth rate function \(R(M)=-r M \ln \left(\frac{M}{K}\right)\) (which equals \(M^{\prime}(t)\) ) assuming \(r=1\) and \(K=4 .\) For what values of \(M\) is the growth rate positive? For what value of \(M\) is the growth rate a maximum? b. Solve the initial value problem and graph the solution for \(r=1, K=4,\) and \(M_{0}=1 .\) Describe the growth pattern of the tumor. Is the growth unbounded? If not, what is the limiting size of the tumor? c. In the general solution, what is the meaning of \(K ?\) where \(r\) and \(K\) are positive constants and \(0 < M_{0} < K\)

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