<p>In this paper, we introduce a notion of free probability over the scaled hyperbolic numbers. Scaled hypercomplex numbers <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(\left\{ \mathbb {D}_{t}\right\} _{t\in \mathbb {R}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mfenced close="}" open="{"> <msub> <mi mathvariant="double-struck">D</mi> <mi>t</mi> </msub> </mfenced> <mrow> <mi>t</mi> <mo>∈</mo> <mi mathvariant="double-struck">R</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> are constructed as sub-structures of scaled hypercomplex numbers <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\left\{ \mathbb {H}_{t}\right\} _{t\in \mathbb {R}}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mfenced close="}" open="{"> <msub> <mi mathvariant="double-struck">H</mi> <mi>t</mi> </msub> </mfenced> <mrow> <mi>t</mi> <mo>∈</mo> <mi mathvariant="double-struck">R</mi> </mrow> </msub> </math></EquationSource> </InlineEquation> under the scales (or, the moments) of the set <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\mathbb {R}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="double-struck">R</mi> </math></EquationSource> </InlineEquation> of real numbers. We show that if <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(t&lt;0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>t</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation>, then the classical free probability theory covers our free probability on <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(\left\{ \mathbb {D}_{t}\right\} _{t&lt;0}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mfenced close="}" open="{"> <msub> <mi mathvariant="double-struck">D</mi> <mi>t</mi> </msub> </mfenced> <mrow> <mi>t</mi> <mo>&lt;</mo> <mn>0</mn> </mrow> </msub> </math></EquationSource> </InlineEquation>; if <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(t&gt;0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>t</mi> <mo>&gt;</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation>, then our free probability on <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(\left\{ \mathbb {D}_{t}\right\} _{t&gt;0}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mfenced close="}" open="{"> <msub> <mi mathvariant="double-struck">D</mi> <mi>t</mi> </msub> </mfenced> <mrow> <mi>t</mi> <mo>&gt;</mo> <mn>0</mn> </mrow> </msub> </math></EquationSource> </InlineEquation> is represented by the free probability over the classical hyperbolic numbers <InlineEquation ID="IEq8"> <EquationSource Format="TEX">\(\mathcal {D}=\mathbb {D}_{1}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="script">D</mi> <mo>=</mo> <msub> <mi mathvariant="double-struck">D</mi> <mn>1</mn> </msub> </mrow> </math></EquationSource> </InlineEquation>; and if <InlineEquation ID="IEq9"> <EquationSource Format="TEX">\(t=0\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>t</mi> <mo>=</mo> <mn>0</mn> </mrow> </math></EquationSource> </InlineEquation>, then the free probability on <InlineEquation ID="IEq10"> <EquationSource Format="TEX">\(\mathbb {D}_{0}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="double-struck">D</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation> is actually over the dual numbers <InlineEquation ID="IEq11"> <EquationSource Format="TEX">\(\textbf{D}=\mathbb {D}_{0}\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="bold">D</mi> <mo>=</mo> <msub> <mi mathvariant="double-struck">D</mi> <mn>0</mn> </msub> </mrow> </math></EquationSource> </InlineEquation>. Since the usual free probability theory is over <InlineEquation ID="IEq12"> <EquationSource Format="TEX">\(\mathbb {C}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="double-struck">C</mi> </math></EquationSource> </InlineEquation>, we here concentrate on establishing our free probability theory on <InlineEquation ID="IEq13"> <EquationSource Format="TEX">\(\mathcal {D}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="script">D</mi> </math></EquationSource> </InlineEquation>, or that on <InlineEquation ID="IEq14"> <EquationSource Format="TEX">\(\textbf{D}\)</EquationSource> <EquationSource Format="MATHML"><math> <mi mathvariant="bold">D</mi> </math></EquationSource> </InlineEquation>. Our approaches are motivated by the Speicher’s combinatorial free probability. As applications, the <InlineEquation ID="IEq15"> <EquationSource Format="TEX">\(\mathbb {D}_{t}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="double-struck">D</mi> <mi>t</mi> </msub> </math></EquationSource> </InlineEquation>-free-probabilistic versions of semicircular elements and circular elements are considered.</p>

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Free Probability Theory over the Scaled Hyperbolic Numbers

  • Daniel Alpay,
  • Ilwoo Cho

摘要

In this paper, we introduce a notion of free probability over the scaled hyperbolic numbers. Scaled hypercomplex numbers \(\left\{ \mathbb {D}_{t}\right\} _{t\in \mathbb {R}}\) D t t R are constructed as sub-structures of scaled hypercomplex numbers \(\left\{ \mathbb {H}_{t}\right\} _{t\in \mathbb {R}}\) H t t R under the scales (or, the moments) of the set \(\mathbb {R}\) R of real numbers. We show that if \(t<0\) t < 0 , then the classical free probability theory covers our free probability on \(\left\{ \mathbb {D}_{t}\right\} _{t<0}\) D t t < 0 ; if \(t>0\) t > 0 , then our free probability on \(\left\{ \mathbb {D}_{t}\right\} _{t>0}\) D t t > 0 is represented by the free probability over the classical hyperbolic numbers \(\mathcal {D}=\mathbb {D}_{1}\) D = D 1 ; and if \(t=0\) t = 0 , then the free probability on \(\mathbb {D}_{0}\) D 0 is actually over the dual numbers \(\textbf{D}=\mathbb {D}_{0}\) D = D 0 . Since the usual free probability theory is over \(\mathbb {C}\) C , we here concentrate on establishing our free probability theory on \(\mathcal {D}\) D , or that on \(\textbf{D}\) D . Our approaches are motivated by the Speicher’s combinatorial free probability. As applications, the \(\mathbb {D}_{t}\) D t -free-probabilistic versions of semicircular elements and circular elements are considered.