def get_symbol_list(rank, dim=6):
    """
    Returns a symbolic representation of the voigt-notation
    tensor that places identical symbols for entries related
    by index transposition, i. e. C_1121 = C_1211 etc.

    Args:
        dim (int): dimension of matrix/tensor, e. g. 6 for
            voigt notation and 3 for standard
        rank (int): rank of tensor, e. g. 3 for third-order ECs

    Returns:
        c_vec (array): array representing distinct indices
        c_arr (array): array representing tensor with equivalent
            indices assigned as above
    """
    indices = list(
        itertools.combinations_with_replacement(range(dim), r=rank))
    c_vec = np.zeros(len(indices), dtype=object)
    c_arr = np.zeros([dim]*rank, dtype=object)
    for n, idx in enumerate(indices):
        c_vec[n] = sp.Symbol('c_'+''.join([str(i) for i in idx]))
        for perm in itertools.permutations(idx):
            c_arr[perm] = c_vec[n]
    return c_vec, c_arr