Proof of the existence of a skew-symmetric orthogonal matrix with even number of dimensions.












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How do I prove, that there exists a matrix A with even number of dimensions that is both skew-symmetric and orthogonal:



$$tag{1}A^{T}=-A=A^{-1}.$$



I only found posts, where people just post some matrix and say, that it satisfies both the criteria, but I didn't manage to find a formal proof of the existence.










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  • The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
    – hardmath
    Dec 2 '18 at 7:04








  • 1




    @hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
    – arstep
    Dec 2 '18 at 7:32












  • Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
    – hardmath
    Dec 2 '18 at 7:37










  • @hardmath Got it, thanks.
    – arstep
    Dec 2 '18 at 7:40
















0














How do I prove, that there exists a matrix A with even number of dimensions that is both skew-symmetric and orthogonal:



$$tag{1}A^{T}=-A=A^{-1}.$$



I only found posts, where people just post some matrix and say, that it satisfies both the criteria, but I didn't manage to find a formal proof of the existence.










share|cite|improve this question
























  • The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
    – hardmath
    Dec 2 '18 at 7:04








  • 1




    @hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
    – arstep
    Dec 2 '18 at 7:32












  • Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
    – hardmath
    Dec 2 '18 at 7:37










  • @hardmath Got it, thanks.
    – arstep
    Dec 2 '18 at 7:40














0












0








0







How do I prove, that there exists a matrix A with even number of dimensions that is both skew-symmetric and orthogonal:



$$tag{1}A^{T}=-A=A^{-1}.$$



I only found posts, where people just post some matrix and say, that it satisfies both the criteria, but I didn't manage to find a formal proof of the existence.










share|cite|improve this question















How do I prove, that there exists a matrix A with even number of dimensions that is both skew-symmetric and orthogonal:



$$tag{1}A^{T}=-A=A^{-1}.$$



I only found posts, where people just post some matrix and say, that it satisfies both the criteria, but I didn't manage to find a formal proof of the existence.







linear-algebra






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edited Dec 2 '18 at 9:37

























asked Dec 2 '18 at 6:35









arstep

32




32












  • The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
    – hardmath
    Dec 2 '18 at 7:04








  • 1




    @hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
    – arstep
    Dec 2 '18 at 7:32












  • Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
    – hardmath
    Dec 2 '18 at 7:37










  • @hardmath Got it, thanks.
    – arstep
    Dec 2 '18 at 7:40


















  • The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
    – hardmath
    Dec 2 '18 at 7:04








  • 1




    @hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
    – arstep
    Dec 2 '18 at 7:32












  • Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
    – hardmath
    Dec 2 '18 at 7:37










  • @hardmath Got it, thanks.
    – arstep
    Dec 2 '18 at 7:40
















The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
– hardmath
Dec 2 '18 at 7:04






The problem formulation seems a bit confused. Perhaps you are trying to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. It should be clear that not every $A$ satisfying (1) must also satisfy (2). But a weak problem formulation would be merely that some (even-dimensioned) matrix satisfies (1), and other $A$ will satisfy (2). However the manner of your presentation seems to want to express a connection between (1) and (2). Do you know what that connection is, or is the discovery of a connection the real crux of your Question?
– hardmath
Dec 2 '18 at 7:04






1




1




@hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
– arstep
Dec 2 '18 at 7:32






@hardmath Yes, that's right, I want to prove that there exists a matrix (of even dimension) which is both skew-symmetric and orthogonal. Sorry for the incorrect formulation. I do understand, that not not every A satisfying (1) also satisfies (2), and, since I didn't manage to find posts relevant to my question, I decided to ask it here.
– arstep
Dec 2 '18 at 7:32














Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
– hardmath
Dec 2 '18 at 7:37




Okay, thanks for the clarification. My hint is to think about the real $2times 2$ case. If you get an example there, you can parlay it into all even dimensions.
– hardmath
Dec 2 '18 at 7:37












@hardmath Got it, thanks.
– arstep
Dec 2 '18 at 7:40




@hardmath Got it, thanks.
– arstep
Dec 2 '18 at 7:40










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Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$






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    1 Answer
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    Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$






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      Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$






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        Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$






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        Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$







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        answered Dec 2 '18 at 7:40









        John_Wick

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