diff --git a/modin/core/dataframe/algebra/binary.py b/modin/core/dataframe/algebra/binary.py
index 8f86a6b18fa..b3d011dfff4 100644
--- a/modin/core/dataframe/algebra/binary.py
+++ b/modin/core/dataframe/algebra/binary.py
@@ -444,14 +444,12 @@ def apply(
         """
         operator = cls.register(func, **kwargs)
 
-        func_args = tuple() if func_args is None else func_args
-        func_kwargs = dict() if func_kwargs is None else func_kwargs
         qc_result = operator(
             left._query_compiler,
             right._query_compiler,
             broadcast=right.ndim == 1,
-            *func_args,
+            *(func_args or ()),
             axis=axis,
-            **func_kwargs,
+            **(func_kwargs or {}),
         )
-        return type(left)(query_compiler=qc_result)
+        return left.__constructor__(query_compiler=qc_result)
diff --git a/modin/core/dataframe/algebra/fold.py b/modin/core/dataframe/algebra/fold.py
index 82d868f9af2..3aeb1b60586 100644
--- a/modin/core/dataframe/algebra/fold.py
+++ b/modin/core/dataframe/algebra/fold.py
@@ -89,8 +89,5 @@ def apply(cls, df, func, fold_axis=0, func_args=None, func_kwargs=None):
         -------
         the same type as `df`
         """
-        func_args = tuple() if func_args is None else func_args
-        func_kwargs = dict() if func_kwargs is None else func_kwargs
-        func_args = (fold_axis,) + func_args
-
-        return super().apply(df, func, func_args, func_kwargs)
+        func_args = (fold_axis,) + (func_args or ())
+        return super().apply(df, func, func_args, func_kwargs or {})
diff --git a/modin/core/dataframe/algebra/groupby.py b/modin/core/dataframe/algebra/groupby.py
index a45d7bdd410..f04b79e2af0 100644
--- a/modin/core/dataframe/algebra/groupby.py
+++ b/modin/core/dataframe/algebra/groupby.py
@@ -772,19 +772,15 @@ def apply(
         -------
         The same type as `df`.
         """
-        agg_args = tuple() if agg_args is None else agg_args
-        agg_kwargs = dict() if agg_kwargs is None else agg_kwargs
-        groupby_kwargs = dict() if groupby_kwargs is None else groupby_kwargs
-
         operator = cls.register(map_func, reduce_func)
         qc_result = operator(
             df._query_compiler,
             df[by]._query_compiler,
             axis=0,
-            groupby_kwargs=groupby_kwargs,
-            agg_args=agg_args,
-            agg_kwargs=agg_kwargs,
+            groupby_kwargs=groupby_kwargs or {},
+            agg_args=agg_args or (),
+            agg_kwargs=agg_kwargs or {},
             drop=True,
         )
 
-        return type(df)(query_compiler=qc_result)
+        return df.__constructor__(query_compiler=qc_result)
diff --git a/modin/core/dataframe/algebra/operator.py b/modin/core/dataframe/algebra/operator.py
index 344d160ed97..80458b0a3ce 100644
--- a/modin/core/dataframe/algebra/operator.py
+++ b/modin/core/dataframe/algebra/operator.py
@@ -84,9 +84,7 @@ def apply(cls, df, func, func_args=None, func_kwargs=None, **kwargs):
         return_type
         """
         operator = cls.register(func, **kwargs)
-
-        func_args = tuple() if func_args is None else func_args
-        func_kwargs = dict() if func_kwargs is None else func_kwargs
-
-        qc_result = operator(df._query_compiler, *func_args, **func_kwargs)
-        return type(df)(query_compiler=qc_result)
+        qc_result = operator(
+            df._query_compiler, *(func_args or ()), **(func_kwargs or {})
+        )
+        return df.__constructor__(query_compiler=qc_result)