Vector Space of Probability Density Functions

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I'm wondering if it is possible to define a vector space $V$ of all valid probability density functions over $R^n$ (integrable functions in $R^n$ with area equal to 1).

Where the addition of two elements in this vector space, $f + g$, is defined to be their convolution $f*g$.

And multiplication by scalar $af$ is defined as $(af)(x)=\frac{f(x/a)}{a}$.

Does this form a vector space?