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It satisfies f(αx, αy) = α^n f(x, y).
Check if scaling inputs by α results in the output scaled by α^n.
The degree is 2.
It is not a homogeneous function.
If f is homogeneous of degree n, then x f_x + y f_y = n f.
It remains unchanged under scaling of inputs.
If f = g + h, then x f_x + y f_y = m g + n h.
It is not homogeneous unless the degrees are equal.
x u_x + y u_y = u.
The function must have continuous first and second order partial derivatives.
It shows the function can be expressed in terms of ratios.
The degree is 0.
The degree is determined by the exponent of α that factors out.
The degree is 7/2.
It leads to relationships involving the function's partial derivatives.
They ensure the equality of mixed partial derivatives.
It is a second-order derivative expression in Euler's theorem.
Euler's theorem cannot be applied directly.
It is not a homogeneous function.
They must be equal for their sum to be homogeneous.
It satisfies f(αx, αy) = α^n f(x, y).
Check if scaling inputs by α results in the output scaled by α^n.
It states x f_x + y f_y = n f for degree n functions.
It remains unchanged when inputs are scaled.
It fails to satisfy the scaling property for any degree.
The resulting function is not homogeneous.
Both functions must be homogeneous of the same degree.
It indicates the power by which the function scales under input scaling.
It leads to relationships involving partial derivatives and the degree.
Analyze the scaling behavior of its components.
They ensure the equality of mixed partial derivatives.
It equals n f.
Higher degree functions have specific derivative relationships.
The resulting degree depends on the individual degrees.
It scales linearly with input scaling.
The theorem cannot be applied directly.