Determine the intervals of monotonicity of the function y
Determine the intervals of monotonicity of the function $y = x^{2}-\ln x^{2}$.
Explanation of Method
An even function with two identical minima.
Step 1: Domain and symmetry
Since $\ln x^{2} = 2\ln|x|$, the function may be written $y = x^{2}-2\ln|x|$, defined for $x\neq0$. It is even: \[y(-x) = \bigl(-x\bigr)^{2}-\ln\bigl(-x\bigr)^{2} = x^{2}-\ln x^{2} = y(x),\]
so the left half of the graph is the mirror image of the right half.
Step 2: The derivative
\[ y' = 2x-\frac2x = \frac{2x^{2}-2}{x} = \frac{2\bigl(x-1\bigr)\bigl(x+1\bigr)}{x}. \tag{1} \]
Step 3: Critical points and sign
$y' = 0$ at $x = \pm1$, and $y'$ is undefined at $x = 0$, which is outside the domain. The three sign changes split the domain into four intervals: \[x\lt -1:\ \frac{(-)(-)}{(-)} = -\ (\searrow); \qquad -1\lt x\lt 0:\ \frac{(-)(+)}{(-)} = +\ (\nearrow);\]
\[ 0\lt x\lt 1:\ \frac{(-)(+)}{(+)} = -\ (\searrow); \qquad x\gt 1:\ \frac{(+)(+)}{(+)} = +\ (\nearrow). \]
Step 4: Classify the critical points
At both $x = -1$ and $x = 1$ the derivative changes from $-$ to $+$: each is a local minimum, and by evenness they carry the same value
\[ y(\pm1) = 1-\ln1 = 1. \]
Step 5: Verification
\[y(0.5) = 1.6362944 \gt y(1) = 1 \lt y(2) = 2.6137056 \;\;\checkmark\]
\[y(-0.5) = 1.6362944 = y(0.5),\ \ y(-1) = 1 = y(1) \;\;\checkmark\ \text{(evenness)}\]
\[y'' = 2+\frac{2}{x^{2}} \gt 0 \text{ everywhere} \;\Longrightarrow\; \text{both critical points are minima} \;\;\checkmark\]
Result
Final answer:
\[\boxed{\,\text{decreasing on } \bigl(-\infty,\,-1\bigr] \text{ and on } \bigl(0,\,1\bigr]; \qquad \text{increasing on } \bigl[-1,\,0\bigr) \text{ and on } \bigl[1,\,+\infty\bigr)\,}\]
Remark
Remark. Since $y''\gt 0$ on each branch, the graph is convex on $\bigl(-\infty,0\bigr)$ and on $\bigl(0,\infty\bigr)$ separately — but not on the union, which is not an interval. The value $1$ is the global minimum, attained twice, and $y\to+\infty$ both as $x\to0$ (through the logarithm) and as $|x|\to\infty$ (through the square).