Make truncspace explanation more specific

Author: leburgel

docs/src/man/tensors.md

@@ -947,7 +947,7 @@ the keyword argument `p`. The default value `notrunc()` implies no truncation, a
     dimension of the internal vector space is no larger than `χ`;
 
 *   `truncspace(W)`: truncates such that the dimension of the internal vector space is
-    smaller than that of `W` in any sector, i.e. with
+    smaller than or equal to that of `W` in any sector, i.e. with
     `W₀ = min(fuse(codomain(t)), fuse(domain(t)))` this option will result in
     `domain(U) == domain(Σ) == codomain(Σ) == codomain(Vᵈ) == min(W, W₀)`;
 

src/tensors/factorizations.jl

@@ -33,7 +33,7 @@ case a truncated singular value decomposition will be computed. Choices are:
 *   `truncdim(χ::Int)`: truncates such that the equivalent total dimension of the internal
     vector space is no larger than `χ`;
 *   `truncspace(V)`: truncates such that the dimension of the internal vector space is
-    smaller than that of `V` in any sector.
+    smaller than or equal to that of `V` in any sector.
 *   `truncbelow(η::Real)`: truncates such that every singular value is larger then `η` ;
 
 Truncation options can also be combined using `&`, i.e. `truncbelow(η) & truncdim(χ)` will