Points on decision hyperplane
up vote
1
down vote
favorite
I'm reading a chapter on linear classifiers, and the authors define the decision hyperplane as:
$$
g(mathbf{x}) = mathbf{w}^Tmathbf{x} + w_0 = 0
$$
They say that if $mathbf{x}_1$ and $mathbf{x}_2$ are points on the decision hyperplane, then:
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
and:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) = 0
$$
They then write the difference vector $mathbf{x}_1 - mathbf{x}_2$ lies on the decision hyperplane. Here I am lost. If it were on the decision hyperplane, wouldn't it need to satisfy the original equation? Specifically:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0
$$
What am I missing?
linear-algebra pattern-recognition
add a comment |
up vote
1
down vote
favorite
I'm reading a chapter on linear classifiers, and the authors define the decision hyperplane as:
$$
g(mathbf{x}) = mathbf{w}^Tmathbf{x} + w_0 = 0
$$
They say that if $mathbf{x}_1$ and $mathbf{x}_2$ are points on the decision hyperplane, then:
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
and:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) = 0
$$
They then write the difference vector $mathbf{x}_1 - mathbf{x}_2$ lies on the decision hyperplane. Here I am lost. If it were on the decision hyperplane, wouldn't it need to satisfy the original equation? Specifically:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0
$$
What am I missing?
linear-algebra pattern-recognition
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I'm reading a chapter on linear classifiers, and the authors define the decision hyperplane as:
$$
g(mathbf{x}) = mathbf{w}^Tmathbf{x} + w_0 = 0
$$
They say that if $mathbf{x}_1$ and $mathbf{x}_2$ are points on the decision hyperplane, then:
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
and:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) = 0
$$
They then write the difference vector $mathbf{x}_1 - mathbf{x}_2$ lies on the decision hyperplane. Here I am lost. If it were on the decision hyperplane, wouldn't it need to satisfy the original equation? Specifically:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0
$$
What am I missing?
linear-algebra pattern-recognition
I'm reading a chapter on linear classifiers, and the authors define the decision hyperplane as:
$$
g(mathbf{x}) = mathbf{w}^Tmathbf{x} + w_0 = 0
$$
They say that if $mathbf{x}_1$ and $mathbf{x}_2$ are points on the decision hyperplane, then:
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
and:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) = 0
$$
They then write the difference vector $mathbf{x}_1 - mathbf{x}_2$ lies on the decision hyperplane. Here I am lost. If it were on the decision hyperplane, wouldn't it need to satisfy the original equation? Specifically:
$$
mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0
$$
What am I missing?
linear-algebra pattern-recognition
linear-algebra pattern-recognition
edited 15 hours ago
asked Dec 2 at 20:15
Lorenz Forvang
184
184
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02
add a comment |
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02
add a comment |
1 Answer
1
active
oldest
votes
up vote
1
down vote
accepted
The statement as written is false for arbitrary $w_0$. Given
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
it follows that $mathbf{w}^Tmathbf{x}_1=mathbf{w}^Tmathbf{x}_2=-w_0$, and hence that
$$mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2)
=mathbf{w}^Tmathbf{x}_1-mathbf{w}^Tmathbf{x}_2
=(-w_0)-(-w_0)= 0.
$$
So
It is "obviously" true if and only if $w_0=0$. I would say you are not missing anything.
You'd be surprised how many errors slip through dozens of editions.
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The statement as written is false for arbitrary $w_0$. Given
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
it follows that $mathbf{w}^Tmathbf{x}_1=mathbf{w}^Tmathbf{x}_2=-w_0$, and hence that
$$mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2)
=mathbf{w}^Tmathbf{x}_1-mathbf{w}^Tmathbf{x}_2
=(-w_0)-(-w_0)= 0.
$$
So
It is "obviously" true if and only if $w_0=0$. I would say you are not missing anything.
You'd be surprised how many errors slip through dozens of editions.
add a comment |
up vote
1
down vote
accepted
The statement as written is false for arbitrary $w_0$. Given
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
it follows that $mathbf{w}^Tmathbf{x}_1=mathbf{w}^Tmathbf{x}_2=-w_0$, and hence that
$$mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2)
=mathbf{w}^Tmathbf{x}_1-mathbf{w}^Tmathbf{x}_2
=(-w_0)-(-w_0)= 0.
$$
So
It is "obviously" true if and only if $w_0=0$. I would say you are not missing anything.
You'd be surprised how many errors slip through dozens of editions.
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The statement as written is false for arbitrary $w_0$. Given
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
it follows that $mathbf{w}^Tmathbf{x}_1=mathbf{w}^Tmathbf{x}_2=-w_0$, and hence that
$$mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2)
=mathbf{w}^Tmathbf{x}_1-mathbf{w}^Tmathbf{x}_2
=(-w_0)-(-w_0)= 0.
$$
So
It is "obviously" true if and only if $w_0=0$. I would say you are not missing anything.
You'd be surprised how many errors slip through dozens of editions.
The statement as written is false for arbitrary $w_0$. Given
$$
mathbf{w}^Tmathbf{x}_1 + w_0 = 0 \
mathbf{w}^Tmathbf{x}_2 + w_0 = 0
$$
it follows that $mathbf{w}^Tmathbf{x}_1=mathbf{w}^Tmathbf{x}_2=-w_0$, and hence that
$$mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2)
=mathbf{w}^Tmathbf{x}_1-mathbf{w}^Tmathbf{x}_2
=(-w_0)-(-w_0)= 0.
$$
So
It is "obviously" true if and only if $w_0=0$. I would say you are not missing anything.
You'd be surprised how many errors slip through dozens of editions.
answered Dec 2 at 20:42
Servaes
21.8k33792
21.8k33792
add a comment |
add a comment |
Thanks for contributing an answer to Mathematics Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3023118%2fpoints-on-decision-hyperplane%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
My high-school math teacher used to say "The book is wrong" when she wrote something wrong on the blackboard... Apparently, I would say this also in this situation. Indeed, if $mathbf{w}^Tmathbf{x}_1 + w_0 = 0$ and $mathbf{w}^Tmathbf{x}_2 + w_0 = 0$, then $mathbf{w}^T(mathbf{x}_1 - mathbf{x}_2) + w_0 = 0$ reduces that $w_0 = 0$... Read your book carefully, and report here your findings.
– the_candyman
Dec 2 at 20:21
The difference vector only lies on the hyperplace if $w_0=0$. Otherwise, it is parallel to the hyperplane.
– amd
Dec 3 at 9:02