Silbentrennung

[Mat]

Ok, Hier ein Minimalbeispiel wo z.B. das Wort "linear" falsch getrennt wird.

Ich glaube es liegt an den Einstellungen

\usepackage[a4paper,textwidth=24mm,twoside,hmarginratio=5:4,vcentering]{geometry}

Meine Frage ist: Wie kann ich diese Einstellungen beibehalten und eine korrekte Silbentrennung gewährleisten?

Minimalbeispiel:
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\documentclass[a4paper,10pt,twoside,chapterprefix]{scrbook}

\usepackage[a4paper,textwidth=24mm,twoside,hmarginratio=5:4,vcentering]{geometry}
\clubpenalty = 10000
\widowpenalty = 10000
\displaywidowpenalty = 10000


\usepackage[
   centertags, % (default) center tags vertically
   sumlimits,  %(default) Place the subscripts and superscripts of summation
               % symbols above and below
   intlimits,  % Like sumlimits, but for integral symbols.
   %nointlimits, % (default) Opposite of intlimits.
   namelimits, % (default) Like sumlimits, but for certain 'operator names' such as
               % det, inf, lim, max, min, that traditionally have subscripts placed underneath
               % when they occur in a displayed equation.
]{amsmath}

\usepackage[
        ngerman,
        USenglish
]{babel}

\usepackage[T1]{fontenc} % T1 Schrift Encoding
\usepackage{textcomp}    % Zusatzliche Symbole (Text Companion font extension)
\usepackage[breaklinks,plainpages=false,pagebackref=true]{hyperref}

\usepackage[utf8]{inputenc}

%\usepackage[a4paper,textwidth=140mm,twoside,hmarginratio=5:4,vcentering]{geometry}

\begin{document}

this is a test text for hyphenation and long but house very long words and sentences.
kernel or null space (also nullspace) of a matrix A is the set of all vectors x for which Ax = 0. The kernel of a matrix with n columns is a linear subspace of n-dimensional Euclidean space.[1] The dimension of the null space of A is called the nullity of A.

If viewed as a linear transformation, the null space of a matrix is precisely the kernel of the mapping (i.e. the set of vectors that map to zero). For this reason, the kernel of a linear transformation between abstract vector spaces is sometimes referred to as the null space of the transformation.

\end{document}