Proof of the existence of a skew-symmetric orthogonal matrix with even number of dimensions.
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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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
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
add a comment |
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
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
linear-algebra
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
add a comment |
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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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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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 $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$
Take the example $A=left[begin{array}{cc}0 & I_n\-I_n & 0end{array}right].$
answered Dec 2 '18 at 7:40
John_Wick
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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