Since your vector $x$ is a vector, you can represent linear quantities in terms of matrix multiplication. I will write your vector as a column $x = \left[ \begin{smallmatrix} x_1 \\ \vdots \\ x_n \end{smallmatrix}\right]$, so that I can multiply it on the left by operators.
Consider the matrix
$$ A = \left[ \begin{matrix}
1 & 1 & \cdots & 1 \\
0 & 1 & \ddots & \vdots \\
\vdots & \ddots & \ddots & 1 \\
0 & \cdots & 0 & 1
\end{matrix} \right] $$
which consists of $1$s on and above the diagonal, and $0$s below the diagonal. Then the product $Ax$ is the vector
$$ Ax = \left[ \begin{matrix}
x_1 + x_2 + \cdots + x_n \\
x_2 + \cdots + x_n \\
\ddots \\
x_{n-1} + x_n \\
x_n
\end{matrix}\right] $$
consisting of all the answers to your question.
If you want, say, the $j$th entry in the vector $Ax$, then you can use the $j$th row $A_j$ of $A$ in place of $A$ itself. This is the row with $j-1$ zeros and $n-j+1$ ones. So in your particular case with $n=6$ and $n-j+1 = 3$, you want the 4th row:
$$ A_4 x = \left[ \begin{matrix} 0 & 0 & 0 & 1 & 1 & 1 \end{matrix}\right] \left[ \begin{matrix} x_1 \\ x_2 \\ x_3 \\ x_4 \\ x_5 \\ x_6 \end{matrix}\right] = x_4 + x_5 + x_6 $$
Here I have adopted the standard abuse of notation in which $1\times 1$ matrices are identified with numbers.
Of course, this answer requires explaining lots of extra notation. It's good if you're planning on doing a lot of manipulation with such sums, but bad if you're just trying to communicate to someone "$x_4 + x_5 + x_6$" or even "$x_m + x_{m+1} + \cdots + x_n$", either of which is completely fine notation.