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Verify that \(y_{1}(t)=1\) and \(y_{2}(t)=t^{1 / 2}\) are solutions of the differential equation \(y y^{\prime \prime}+\) \(\left(y^{\prime}\right)^{2}=0\) for \(t>0 .\) Then show that \(c_{1}+c_{2} t^{1 / 2}\) is not, in general, a solution of this equation. Explain why this result does not contradict Theorem 3.2 .2 .

Short Answer

Expert verified
Question: Verify that \(y_1(t) = 1\) and \(y_2(t) = t^{\frac{1}{2}}\) are solutions of the differential equation \(yy'' + (y')^2 = 0\). Show that \(c_1 + c_2t^{\frac{1}{2}}\) is not a solution, in general, and explain why this doesn't contradict Theorem 3.2.2. Answer: We have verified that \(y_1(t) = 1\) and \(y_2(t) = t^{\frac{1}{2}}\) are solutions of the given differential equation. However, \(c_1 + c_2t^{\frac{1}{2}}\) is not a solution, in general. This doesn't contradict Theorem 3.2.2 because the theorem applies only to linear homogeneous differential equations, while the given equation is non-linear.

Step by step solution

01

Compute derivatives for \(y_1(t)\)

First, we'll find the first and second derivatives of \(y_1(t)=1\). \(y_1'(t) = \frac{d(1)}{dt} = 0\) \(y_1''(t) = \frac{d(0)}{dt} = 0\)
02

Verify if \(y_1(t)\) is a solution for the differential equation

Now, we'll plug the values of \(y_1(t)\), \(y_1'(t)\), and \(y_1''(t)\) into the differential equation \(yy''+(y')^2=0\). \((1)(0) + (0)^2=0\) The equation is true, so \(y_1(t) = 1\) is a solution of the given differential equation.
03

Compute derivatives for \(y_2(t)\)

Next, we'll compute the first and second derivatives of \(y_2(t) = t^{\frac{1}{2}}\). \(y_2'(t) = \frac{1}{2}t^{-\frac{1}{2}}\) \(y_2''(t) = -\frac{1}{4}t^{-\frac{3}{2}}\)
04

Verify if \(y_2(t)\) is a solution for the differential equation

Now, we'll plug the values of \(y_2(t)\), \(y_2'(t)\), and \(y_2''(t)\) into the differential equation \(yy''+(y')^2=0\). \((t^{\frac{1}{2}})\left(-\frac{1}{4}t^{-\frac{3}{2}}\right)+\left(\frac{1}{2}t^{-\frac{1}{2}}\right)^2\) \(=-\frac{1}{4}+\frac{1}{4}=0\) The equation is true, so \(y_2(t) = t^{\frac{1}{2}}\) is a solution of the given differential equation.
05

Compute derivatives for \(c_1+c_2t^{\frac{1}{2}}\)

Now, we'll compute the first and second derivatives of \(c_1 + c_2t^{\frac{1}{2}}\). \(y'(t) = 0 + \frac{1}{2}c_2t^{-\frac{1}{2}} = \frac{1}{2}c_2t^{-\frac{1}{2}}\) \(y''(t) = -\frac{1}{4}c_2t^{-\frac{3}{2}}\)
06

Check if \(c_1+c_2t^{\frac{1}{2}}\) is a solution for the differential equation

Now, we'll plug the values of \(y(t)\), \(y'(t)\), and \(y''(t)\) into the differential equation \(yy''+(y')^2=0\). \(\left(c_1 + c_2t^{\frac{1}{2}}\right)\left(-\frac{1}{4}c_2t^{-\frac{3}{2}}\right)+\left(\frac{1}{2}c_2t^{-\frac{1}{2}}\right)^2\) \(=-\frac{1}{4}c_2^2t^{-\frac{1}{2}}+\frac{1}{4}c_2^2t^{-1}\neq 0\) The equation is not true, so \(c_1 + c_2t^{\frac{1}{2}}\) is not a solution of the given differential equation, in general. This result doesn't contradict Theorem 3.2.2, because the differential equation is non-linear. Theorem 3.2.2 states that the linear combination of two solutions is also a solution only for linear homogeneous differential equations. Since our given differential equation is non-linear, we cannot claim that the linear combination of the given solutions is also a solution.

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Key Concepts

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

Non-linear differential equations
In mathematics, a non-linear differential equation is one in which the dependent variable or its derivatives appear with exponents greater than one, or in combinations that are not linear. This set of equations differs greatly from linear differential equations, where the conditions are much simpler and often allow for straightforward solutions.
A characteristic of non-linear differential equations is that the principle of superposition—which states that the sum of any two solutions of a linear equation is also a solution—does not apply. This makes solving them more complex and nuanced.
In the equation provided in the exercise, each variable does not only multiply by constants. Instead, they have terms like \(yy'' + (y')^2 = 0\) which implies non-linearity due to the presence of products and powers of the derivatives. This deviation from linearity restricts the techniques and solutions applicable to finding their solutions.
Solution verification
Verifying a solution involves plugging the proposed solution back into the original differential equation to check if it satisfies the equation.
In this exercise, we checked two potential solutions, \(y_1(t) = 1\) and \(y_2(t) = t^{1/2}\). For both, the substituents proved satisfactory, as they turned the equation \(yy'' + (y')^2 = 0\) into a true statement. Breaking this process into manageable steps ensures accuracy and confidence in our solutions.
It's crucial to verify because these solutions were derived under the assumption they satisfy the given differential equation; however, there are cases, especially in non-linear equations, where unexpected results or additional considerations can arise. This is evident in the third case analyzed, \(c_1 + c_2 t^{1/2}\), where calculation showed the result did not hold as a solution in a general sense. This highlights that additional assumptions or restrictions might apply.
Theorem 3.2.2
Theorem 3.2.2 is a fundamental result usually dealing with solutions to linear homogeneous differential equations. It states that if \(y_1(t)\) and \(y_2(t)\) are solutions, then any linear combination of them \(c_1y_1(t) + c_2y_2(t)\) is also a solution. However, a crucial caveat in this theorem is its limitation to linear equations.
In our exercise, the differential equation is non-linear. Therefore, while \(y_1(t)\) and \(y_2(t)\) independently satisfied the equation, their linear combination did not necessarily result in a solution. This non-linearity means the principle highlighted in Theorem 3.2.2 does not apply.
The pivotal point here is recognizing the difference in behavior between linear and non-linear systems. For students, grasping this distinction can help avoid mistakes in wrongly applying the superposition principle to non-linear equations.

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Most popular questions from this chapter

Find the solution of the initial value problem $$ u^{\prime \prime}+u=F(t), \quad u(0)=0, \quad u^{\prime}(0)=0 $$ where $$ F(t)=\left\\{\begin{array}{ll}{F_{0}(2 \pi-t),} & {0 \leq t \leq \pi} \\ {-0} & {(2 \pi-t),} & {\pi

(a) Determine a suitable form for \(Y(t)\) if the method of undetermined coefficients is to be used. (b) Use a computer algebra system to find a particular solution of the given equation. $$ y^{\prime \prime}+y=t(1+\sin t) $$

determine \(\omega_{0}, R,\) and \(\delta\) so as to write the given expression in the form \(u=R \cos \left(\omega_{0} t-\delta\right)\) $$ u=-\cos t+\sqrt{3} \sin t $$

Consider the initial value problem $$ u^{\prime \prime}+\gamma u^{\prime}+u=0, \quad u(0)=2, \quad u^{\prime}(0)=0 $$ We wish to explore how long a time interval is required for the solution to become "negligible" and how this interval depends on the damping coefficient \(\gamma\). To be more precise, let us seek the time \(\tau\) such that \(|u(t)|<0.01\) for all \(t>\tau .\) Note that critical damping for this problem occurs for \(\gamma=2\) (a) Let \(\gamma=0.25\) and determine \(\tau,\) or at least estimate it fairly accurately from a plot of the solution. (b) Repeat part (a) for several other values of \(\gamma\) in the interval \(0<\gamma<1.5 .\) Note that \(\tau\) steadily decreases as \(\gamma\) increases for \(\gamma\) in this range. (c) Obtain a graph of \(\tau\) versus \(\gamma\) by plotting the pairs of values found in parts (a) and (b). Is the graph a smooth curve? (d) Repeat part (b) for values of \(\gamma\) between 1.5 and \(2 .\) Show that \(\tau\) continues to decrease until \(\gamma\) reaches a certain critical value \(\gamma_{0}\), after which \(\tau\) increases. Find \(\gamma_{0}\) and the corresponding minimum value of \(\tau\) to two decimal places. (e) Another way to proceed is to write the solution of the initial value problem in the form (26). Neglect the cosine factor and consider only the exponential factor and the amplitude \(R\). Then find an expression for \(\tau\) as a function of \(\gamma\). Compare the approximate results obtained in this way with the values determined in parts (a), (b), and (d).

A cubic block of side \(l\) and mass density \(\rho\) per unit volume is floating in a fluid of mass density \(\rho_{0}\) per unit volume, where \(\rho_{0}>\rho .\) If the block is slightly depressed and then released, it oscillates in the vertical direction. Assuming that the viscous damping of the fluid and air can be neglected, derive the differential equation of motion and determine the period of the motion. Hint Use archimedes' principle: An object that is completely or partially submerged in a fluid is acted on by an upward (bouyant) equal to the weight of the displaced fluid.

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