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We offer more than just answers—we aim to empower you with the skills to understand the concepts behind the problems. This ensures that when you receive your exam results, you can be confident in your grasp of the material. Here, we’ll take a closer look at some of the more advanced questions we handle, providing you with an example of what you can expect when you choose to have an expert “Take My Math Exam” for you.
Let’s dive into a couple of master-level math exam questions and see how our experts approach them.
Question 1: Advanced Calculus - Integration by Parts
Problem: Evaluate the integral:
∫xln(x) dx\int x \ln(x) \, dx
Solution: To solve the integral ∫xln(x) dx\int x \ln(x) \, dx, we will use the technique of integration by parts. Integration by parts follows the formula:
∫u dv=uv−∫v du\int u \, dv = uv - \int v \, du
In this case, we can choose our uu and dvdv as follows:
u=ln(x)anddv=x dxu = \ln(x) \quad \text{and} \quad dv = x \, dx
Now, we need to compute dudu and vv:
du=1x dxandv=x22du = \frac{1}{x} \, dx \quad \text{and} \quad v = \frac{x^2}{2}
Substitute these into the integration by parts formula:
∫xln(x) dx=(ln(x)⋅x22)−∫x22⋅1x dx\int x \ln(x) \, dx = \left( \ln(x) \cdot \frac{x^2}{2} ight) - \int \frac{x^2}{2} \cdot \frac{1}{x} \, dx
Simplify the second integral:
∫x22⋅1x dx=∫x2 dx\int \frac{x^2}{2} \cdot \frac{1}{x} \, dx = \int \frac{x}{2} \, dx
Now, integrate x2\frac{x}{2}:
∫x2 dx=x24\int \frac{x}{2} \, dx = \frac{x^2}{4}
Thus, the integral becomes:
∫xln(x) dx=x2ln(x)2−x24+C\int x \ln(x) \, dx = \frac{x^2 \ln(x)}{2} - \frac{x^2}{4} + C
Where CC is the constant of integration.
So, the final answer is:
∫xln(x) dx=x2ln(x)2−x24+C\int x \ln(x) \, dx = \frac{x^2 \ln(x)}{2} - \frac{x^2}{4} + C
Question 2: Linear Algebra - Eigenvalues and Eigenvectors
Problem: Find the eigenvalues and eigenvectors of the matrix:
A=(4123)A = \begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix}
Solution: To find the eigenvalues and eigenvectors of the matrix A=(4123)A = \begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix}, we start by finding the characteristic equation, which is obtained from the determinant of A−λIA - \lambda I, where II is the identity matrix and λ\lambda represents the eigenvalues.
The characteristic equation is:
det(A−λI)=0\det(A - \lambda I) = 0
Substitute AA and II:
det((4123)−λ(1001))=0\det \left( \begin{pmatrix} 4 & 1 \\ 2 & 3 \end{pmatrix} - \lambda \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix} ight) = 0
Simplifying:
det(4−λ123−λ)=0\det \begin{pmatrix} 4-\lambda & 1 \\ 2 & 3-\lambda \end{pmatrix} = 0
Now compute the determinant:
(4−λ)(3−λ)−(2)(1)=0(4-\lambda)(3-\lambda) - (2)(1) = 0
Expanding:
(12−4λ−3λ+λ2)−2=0(12 - 4\lambda - 3\lambda + \lambda^2) - 2 = 0
Simplify:
λ2−7λ+10=0\lambda^2 - 7\lambda + 10 = 0
We solve this quadratic equation using the quadratic formula:
λ=−(−7)±(−7)2−4(1)(10)2(1)=7±49−402=7±92\lambda = \frac{-(-7) \pm \sqrt{(-7)^2 - 4(1)(10)}}{2(1)} = \frac{7 \pm \sqrt{49 - 40}}{2} = \frac{7 \pm \sqrt{9}}{2} λ=7±32\lambda = \frac{7 \pm 3}{2}
Thus, the two eigenvalues are:
λ1=7+32=5andλ2=7−32=2\lambda_1 = \frac{7 + 3}{2} = 5 \quad \text{and} \quad \lambda_2 = \frac{7 - 3}{2} = 2
Next, we find the eigenvectors corresponding to each eigenvalue.
- For λ1=5\lambda_1 = 5:
We solve (A−5I)v=0(A - 5I) \mathbf{v} = 0, or:
(4−5123−5)(xy)=0\begin{pmatrix} 4-5 & 1 \\ 2 & 3-5 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = 0
Simplifying the matrix:
(−112−2)(xy)=0\begin{pmatrix} -1 & 1 \\ 2 & -2 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = 0
This system of equations gives us:
−x+y=0orx=y-x + y = 0 \quad \text{or} \quad x = y
Thus, the eigenvector corresponding to λ1=5\lambda_1 = 5 is any scalar multiple of (11)\begin{pmatrix} 1 \\ 1 \end{pmatrix}.
- For λ2=2\lambda_2 = 2:
We solve (A−2I)v=0(A - 2I) \mathbf{v} = 0, or:
(4−2123−2)(xy)=0\begin{pmatrix} 4-2 & 1 \\ 2 & 3-2 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = 0
Simplifying the matrix:
(2121)(xy)=0\begin{pmatrix} 2 & 1 \\ 2 & 1 \end{pmatrix} \begin{pmatrix} x \\ y \end{pmatrix} = 0
This system of equations gives us:
2x+y=0ory=−2x2x + y = 0 \quad \text{or} \quad y = -2x
Thus, the eigenvector corresponding to λ2=2\lambda_2 = 2