Update RFC-00xx-special-functions.md

Author: 0x00b1

RFC-00xx-special-functions.md

@@ -1980,7 +1980,7 @@ modified_spherical_bessel_i(
 
 **out** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor), *optional*) – output.
 
-#### Modified Spherical Bessel Function of the First Kind ($i_{0}(z )$)
+#### Modified Spherical Bessel Function of the First Kind of Order $0$
 
 ```Python
 modified_spherical_bessel_i_0(
@@ -1998,7 +1998,7 @@ modified_spherical_bessel_i_0(
 
 **out** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor), *optional*) – output.
 
-#### Modified Spherical Bessel Function of the First Kind ($i_{1}(z )$)
+#### Modified Spherical Bessel Function of the First Kind of Order $1$
 
 ```Python
 modified_spherical_bessel_i_1(
@@ -2016,7 +2016,7 @@ modified_spherical_bessel_i_1(
 
 **out** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor), *optional*) – output.
 
-#### Modified Spherical Bessel Function of the Second Kind ($k_{n}(z )$)
+#### Modified Spherical Bessel Function of the Second Kind
 
 ```Python
 modified_spherical_bessel_k(
@@ -2037,7 +2037,7 @@ modified_spherical_bessel_k(
 
 **out** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor), *optional*) – output.
 
-#### Modified Spherical Bessel Function of the Second Kind ($k_{0}(z )$)
+#### Modified Spherical Bessel Function of the Second Kind of Order $0$
 
 ```Python
 modified_spherical_bessel_k_0(
@@ -2055,7 +2055,7 @@ modified_spherical_bessel_k_0(
 
 **out** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor), *optional*) – output.
 
-#### Modified Spherical Bessel Function of the Second Kind ($k_{1}(z )$)
+#### Modified Spherical Bessel Function of the Second Kind of Order $1$
 
 ```Python
 modified_spherical_bessel_k_1(
@@ -2090,9 +2090,9 @@ $$\mathrm {ber} _{n}(x)=({\frac {x}{2}})^{n}\sum _{k\geq 0}{\frac {\cos [({\frac
 
 ##### Parameters
 
-**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – equation order. If $z$ is a number, $n$ must be a tensor.
+**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – order. If $z$ is a number, $n$ must be a tensor.
 
-**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – input. If $z$ is a number, $n$ must be a tensor.
+**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – input. If $z$ is a number, $n$ must be a tensor.
 
 ##### Keyword Arguments
 
@@ -2111,9 +2111,9 @@ kelvin_bei(
 
 ##### Parameters
 
-**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – equation order. If $z$ is a number, $n$ must be a tensor.
+**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – order. If $z$ is a number, $n$ must be a tensor.
 
-**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – input. If $z$ is a number, $n$ must be a tensor.
+**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – input. If $z$ is a number, $n$ must be a tensor.
 
 ##### Keyword Arguments
 
@@ -2132,9 +2132,9 @@ kelvin_kei(
 
 ##### Parameters
 
-**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – equation order. If $z$ is a number, $n$ must be a tensor.
+**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – order. If $z$ is a number, $n$ must be a tensor.
 
-**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – input. If $z$ is a number, $n$ must be a tensor.
+**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – input. If $z$ is a number, $n$ must be a tensor.
 
 ##### Keyword Arguments
 
@@ -2153,9 +2153,9 @@ kelvin_ker(
 
 ##### Parameters
 
-**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – equation order. If $z$ is a number, $n$ must be a tensor.
+**n** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – order. If $z$ is a number, $n$ must be a tensor.
 
-**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor)) – input. If $z$ is a number, $n$ must be a tensor.
+**z** ([Tensor](https://pytorch.org/docs/stable/tensors.html#torch.Tensor) *or Number*) – input. If $z$ is a number, $n$ must be a tensor.
 
 ##### Keyword Arguments