BUG: Inconsistent name of binary operations between Series and ndarray, list, tuple
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [x] (optional) I have confirmed this bug exists on the master branch of pandas.

---

**Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug.

#### Code Sample, a copy-pastable example

```
import numpy as np
import pandas as pd

s1 = pd.Series([1, 2, 3, 4, 5], name = "s1")
nparray = np.arange(1, len(s1) + 1)
s2 = s1 / nparray
print("s2.name = ", s2.name)
s3 = s1.div(nparray)
print("s3.name = ", s3.name)

numbers_list = [1.0, 2.0, 3.0, 4.0, 5.0]
s4 = s1 / numbers_list
print("s4.name = ", s4.name)
s5 = s1.div(numbers_list)
print("s5.name = ", s5.name)

numbers_tuple = (1.0, 2.0, 3.0, 4.0, 5.0)
s6 = s1 / numbers_tuple
print("s6.name = ", s6.name)
s7 = s1.div(numbers_tuple)
print("s7.name = ", s7.name)
```

#### Problem description

[this should explain **why** the current behaviour is a problem and why the expected output is a better solution]

Depending on how binary operation is done, e.g. arithmetic operation or function call resulting `name` is different.
- In case of function call it is preserved because `Series` object with no `name` is constructed from ndarray, list or tuple https://github.com/pandas-dev/pandas/blob/master/pandas/core/ops/__init__.py#L476. Call for `get_op_result_name` with arguments of original `Series` object and constructed `Series` object with no name leads to name being set to `None`.
- In case of arithmetic operation no `Series` object is created in `_arith_method_SERIES` and call to `get_op_result_name` to arguments of `Series` and non-ABCSeries, non-ABCIndexClass leads to `name` of `Series` operand being preserved.

#### Expected Output

#### Output of ``pd.show_versions()``

<details>

[paste the output of ``pd.show_versions()`` here leaving a blank line after the details tag]

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.7.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
machine          : AMD64
processor        : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : None.None

pandas           : 1.0.3
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.1
setuptools       : 41.2.0
Cython           : 0.29.17
pytest           : 5.3.5
hypothesis       : None
sphinx           : None
blosc            : None
feather          : 0.4.0
xlsxwriter       : None
lxml.etree       : 4.5.0
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.13.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.5.0
matplotlib       : 3.2.0
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : 0.13.1
pyarrow          : 0.16.0
pytables         : None
pytest           : 5.3.5
pyxlsb           : None
s3fs             : 0.4.0
scipy            : 1.4.1
sqlalchemy       : 1.3.15
tables           : None
tabulate         : None
xarray           : 0.15.0
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : None

INSTALLED VERSIONS
------------------
commit           : 81093ba8214476e979ea55765d7ddb609f729ac9
python           : 3.7.5.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.3.0-26-generic
Version          : #28-Ubuntu SMP Wed Dec 18 05:37:46 UTC 2019
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.0.dev0+1453.g81093ba82
numpy            : 1.17.3
pytz             : 2019.2
dateutil         : 2.7.3
pip              : 18.1
setuptools       : 41.1.0
Cython           : 0.29.17
pytest           : 5.3.5
hypothesis       : None
sphinx           : None
blosc            : None
feather          : 0.4.0
xlsxwriter       : None
lxml.etree       : 4.5.0
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.12.0
pandas_datareader: None
bs4              : 4.8.2
bottleneck       : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.1.3
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : None
pyarrow          : 0.13.0
pytables         : None
pyxlsb           : None
s3fs             : 0.4.2
scipy            : 1.4.1
sqlalchemy       : 1.3.11
tables           : 3.6.1
tabulate         : None
xarray           : 0.15.1
xlrd             : 1.2.0
xlwt             : None
numba            : 0.46.0

</details>
